vault backup: 2026-01-09 12:12:53
This commit is contained in:
BIN
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Einführung.key
Normal file
BIN
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Einführung.key
Normal file
Binary file not shown.
BIN
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Einführung.pdf
Normal file
BIN
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Einführung.pdf
Normal file
Binary file not shown.
@@ -0,0 +1,46 @@
|
||||
```chart
|
||||
type: bar
|
||||
id: subject
|
||||
layout: column
|
||||
width: 80%
|
||||
beginAtZero: true
|
||||
```
|
||||
|
||||
| Topic | Score | Score Max |
|
||||
| -------------------- | ----- | --------- |
|
||||
| 1. Tutorial n=30<br> | 9.2 | 11 |
|
||||
| 2. Tutorial n=36 | 8 | 10 |
|
||||
| Optional n=36 | 0.89 | 6 |
|
||||
| Randomness n=36 | 5.04 | 8 |
|
||||
| Numpy n=41 | 3.15 | 4 |
|
||||
| MatPlotLib n=41 | 18.62 | 21 |
|
||||
| Pandas n=38 | 10.97 | 13 |
|
||||
| Folium n=38 | 20.82 | 27 |
|
||||
| API´s n=26 | 4.48 | 9 |
|
||||
| Data Analysis n=14 | 12.62 | 16 |
|
||||
^subject
|
||||
|
||||
```chart
|
||||
type: line
|
||||
id: average
|
||||
layout: column
|
||||
width: 80%
|
||||
beginAtZero: true
|
||||
yMax: 100
|
||||
```
|
||||
|
||||
| Topic | Average (%) | Average All Optional Excluded(%) |
|
||||
| ------------- | ----------- | -------------------------------- |
|
||||
| 1. Tutorial | 83.64 | 76.02 |
|
||||
| 2. Tutorial | 80.0 | 76.02 |
|
||||
| Optional | 14.83 | 76.02 |
|
||||
| Randomness | 63.0 | 76.02 |
|
||||
| Numpy | 78.75 | 76.02 |
|
||||
| MatPlotLib | 88.67 | 76.02 |
|
||||
| Pandas | 84.38 | 76.02 |
|
||||
| Folium | 77.11 | 76.02 |
|
||||
| API´s | 49.78 | 76.02 |
|
||||
| Data Analysis | 78.88 | 76.02 |
|
||||
^average
|
||||
|
||||
|
||||
@@ -0,0 +1,46 @@
|
||||
```chart
|
||||
type: bar
|
||||
id: subject
|
||||
layout: column
|
||||
width: 80%
|
||||
beginAtZero: true
|
||||
```
|
||||
|
||||
| Topic | Score | Score Max |
|
||||
| --------------------------- | ----- | --------- |
|
||||
| 1. Tutorial n=<br> | 0 | 11 |
|
||||
| 2. Tutorial n= | 0 | 10 |
|
||||
| Optional n= | 0 | 6 |
|
||||
| Numpy n= | 0 | 8 |
|
||||
| MatPlotLib n= | 0 | 4 |
|
||||
| Simulation n= | 0 | 30 |
|
||||
| Pandas n= | 0 | 13 |
|
||||
| Folium n= | 0 | 27 |
|
||||
| Statistical Test Methods n= | 0 | 30 |
|
||||
| Data Analysis n= | 0 | 16 |
|
||||
^subject
|
||||
|
||||
```chart
|
||||
type: line
|
||||
id: average
|
||||
layout: column
|
||||
width: 80%
|
||||
beginAtZero: true
|
||||
yMax: 100
|
||||
```
|
||||
|
||||
| Topic | Average (%) | Average All Optional Excluded(%) |
|
||||
| ------------------------ | ----------- | -------------------------------- |
|
||||
| 1. Tutorial | 0 | 0 |
|
||||
| 2. Tutorial | 0 | 0 |
|
||||
| Optional | 0 | 0 |
|
||||
| Numpy | 0 | 0 |
|
||||
| MatPlotLib | 0 | 0 |
|
||||
| Simulation | 0 | 0 |
|
||||
| Pandas | 0 | 0 |
|
||||
| Folium | 0 | 0 |
|
||||
| Statistical Test Methods | 0 | 0 |
|
||||
| Data Analysis | 0 | 0 |
|
||||
^average
|
||||
|
||||
|
||||
@@ -0,0 +1,20 @@
|
||||
---
|
||||
parent: "[[Gruppe]]"
|
||||
tags:
|
||||
- Gruppe
|
||||
- Prüfung
|
||||
- Punkte
|
||||
---
|
||||
# Mitglieder
|
||||
|
||||
| Name | Punkte | Durchschnitt | Jupyter Kennung | Mail |
|
||||
| -------------- | ------ | ------------ | -------------------------------- | ------------------------------------------------------------------------- |
|
||||
| Janna Heiny | | | 3140c4b62381a2203803f8b237118244 | [j.heiny@tu-braunschweig.de](mailto:j.heiny@tu-braunschweig.de) |
|
||||
| Milena Krieger | 30 | | 8be9a4cc0b240a18171892b873dc2cb8 | [m.krieger@tu-braunschweig.de](mailto:m.krieger@tu-braunschweig.de) |
|
||||
| Xiaowei Wang | | | 39dc5bd7686c3280247aacee82c9818e | [xiaowei.wang@tu-braunschweig.de](mailto:xiaowei.wang@tu-braunschweig.de) |
|
||||
| | | | | |
|
||||
| | | | | |
|
||||
|
||||
# Notizen
|
||||
|
||||
# Prüfung
|
||||
@@ -0,0 +1,20 @@
|
||||
---
|
||||
parent: "[[Gruppe]]"
|
||||
tags:
|
||||
- Gruppe
|
||||
- Prüfung
|
||||
- Punkte
|
||||
---
|
||||
# Mitglieder
|
||||
|
||||
| Name | Punkte | Durchschnitt | Jupyter Kennung | Mail |
|
||||
| -------------- | ------ | ------------ | -------------------------------- | ----------------------------------------------------------------------------- |
|
||||
| Sarina Apel | | | fa3a81b6a4251c0519004ede775a1b21 | [s.apel@tu-braunschweig.de](mailto:s.apel@tu-braunschweig.de) |
|
||||
| Leonie Manthey | 28.5 | | 795801e6569e1edbcb4546f759c3b1fb | [leonie.manthey@tu-braunschweig.de](mailto:leonie.manthey@tu-braunschweig.de) |
|
||||
| Natascha Roth | 29.5 | | 9ba71fe1d8252a47871d8b4b4723c833 | [n.rott@tu-braunschweig.de](mailto:n.rott@tu-braunschweig.de) |
|
||||
| | | | | |
|
||||
| | | | | |
|
||||
|
||||
# Notizen
|
||||
|
||||
# Prüfung
|
||||
@@ -0,0 +1,20 @@
|
||||
---
|
||||
parent: "[[Gruppe]]"
|
||||
tags:
|
||||
- Gruppe
|
||||
- Prüfung
|
||||
- Punkte
|
||||
---
|
||||
# Mitglieder
|
||||
|
||||
| Name | Punkte | Durchschnitt | Jupyter Kennung | Mail |
|
||||
| ------------------- | ------ | ------------ | -------------------------------- | ----------------------------------------------------------------------- |
|
||||
| Izabel Mike | 29.5 | | 8c710a24debf6159659d1e58dd975ce2 | [i.mike@tu-braunschweig.de](mailto:i.mike@tu-braunschweig.de) |
|
||||
| Lara Troschke | 20.5 | | 7b441c67713f2a49811625905612f19b | [l.troschke@tu-braunschweig.de](mailto:l.troschke@tu-braunschweig.de) |
|
||||
| Inga-Brit Turschner | 25.5 | | 72f0b5fd2cdf4dd808ca9a3add584c75 | [i.turschner@tu-braunschweig.de](mailto:i.turschner@tu-braunschweig.de) |
|
||||
| Yannik Haupt | | | f4f597c57d8a31960750e0647f917ed3 | [y.haupt@tu-braunschweig.de](mailto:y.haupt@tu-braunschweig.de) |
|
||||
| Aurela Brahimi | | | 5ce6c08f9b055ca085232da514623ca4 | [a.brahimi@tu-braunschweig.de](mailto:a.brahimi@tu-braunschweig.de) |
|
||||
|
||||
# Notizen
|
||||
|
||||
# Prüfung
|
||||
@@ -0,0 +1,21 @@
|
||||
---
|
||||
parent: "[[Gruppe]]"
|
||||
tags:
|
||||
- Gruppe
|
||||
- Prüfung
|
||||
- Punkte
|
||||
---
|
||||
# Mitglieder
|
||||
|
||||
| Name | Punkte | Durchschnitt | Jupyter Kennung | Mail |
|
||||
| ----------------- | ------ | ------------ | -------------------------------- | ----------------------------------------------------------------------------- |
|
||||
| Fabian Rothberger | | | | [f.rothberger@tu-braunschweig.de](mailto:f.rothberger@tu-braunschweig.de) |
|
||||
| Flemming Schur | | | df2b997f3ff3e1f7395fb071bb6c9f17 | [flemming.schur@tu-braunschweig.de](mailto:flemming.schur@tu-braunschweig.de) |
|
||||
| Josefine Sinkemat | | | | [j.sinkemat@tu-braunschweig.de](mailto:j.sinkemat@tu-braunschweig.de) |
|
||||
| | | | | |
|
||||
| | | | | |
|
||||
|
||||
# Notizen
|
||||
|
||||
# Prüfung
|
||||
|
||||
@@ -0,0 +1,20 @@
|
||||
---
|
||||
parent: "[[Gruppe]]"
|
||||
tags:
|
||||
- Gruppe
|
||||
- Prüfung
|
||||
- Punkte
|
||||
---
|
||||
# Mitglieder
|
||||
|
||||
| Name | Punkte | Durchschnitt | Jupyter Kennung | Mail |
|
||||
| -------------- | ------ | ------------ | -------------------------------- | ----------------------------------------------------------------- |
|
||||
| Nova Eib | 31 | | b313c08a73772a8237e0593ec5c3ee27 | [n.eib@tu-braunschweig.de](mailto:n.eib@tu-braunschweig.de) |
|
||||
| Julia Renner | | | 9efda636813423536dfd581ebeae4edc | [j.renner@tu-braunschweig.de](mailto:j.renner@tu-braunschweig.de) |
|
||||
| Isabel Rudolf | | | 4306ac2b1bf2fe7189d53aad46999f31 | [i.rudolf@tu-braunschweig.de](mailto:i.rudolf@tu-braunschweig.de) |
|
||||
| Katharina Walz | 31 | | 6349002488dfe4343537174fb9381f95 | [k.walz@tu-braunschweig.de](mailto:k.walz@tu-braunschweig.de) |
|
||||
| Cam Thu Do | | | dcccfe28b7e78cc77c118532574b1075 | |
|
||||
|
||||
# Notizen
|
||||
|
||||
# Prüfung
|
||||
@@ -0,0 +1,20 @@
|
||||
---
|
||||
parent: "[[Gruppe]]"
|
||||
tags:
|
||||
- Gruppe
|
||||
- Prüfung
|
||||
- Punkte
|
||||
---
|
||||
# Mitglieder
|
||||
|
||||
| Name | Punkte | Durchschnitt | Jupyter Kennung | Mail |
|
||||
| -------------- | ------ | ------------ | -------------------------------- | --------------------------------------------------------------------- |
|
||||
| Vikoria Litza | | | 055a44301e7b7281e0ee98815f99c4dd | [v.litza@tu-braunschweig.de](mailto:v.litza@tu-braunschweig.de) |
|
||||
| Lea Noglik | | | f24ccc1cefe390cd1036419b89f31d4f | [l.noglik@tu-braunschweig.de](mailto:l.noglik@tu-braunschweig.de) |
|
||||
| Donika Nuhiu | | | bb62dfd14ba80f21678bee50e4f69131 | [d.nuhiu@tu-braunschweig.de](mailto:d.nuhiu@tu-braunschweig.de) |
|
||||
| Alea Unger | 30 | | f8c2ba8abf5b7d89a240902634a5c53a | [a.unger@tu-braunschweig.de](mailto:a.unger@tu-braunschweig.de) |
|
||||
| Marie Wallbaum | | | eec48a6d211105d6f87267fbd428ab69 | [m.wallbaum@tu-braunschweig.de](mailto:m.wallbaum@tu-braunschweig.de) |
|
||||
|
||||
# Notizen
|
||||
|
||||
# Prüfung
|
||||
@@ -0,0 +1,20 @@
|
||||
---
|
||||
parent: "[[Gruppe]]"
|
||||
tags:
|
||||
- Gruppe
|
||||
- Prüfung
|
||||
- Punkte
|
||||
---
|
||||
# Mitglieder
|
||||
|
||||
| Name | Punkte | Durchschnitt | Jupyter Kennung | Mail |
|
||||
| ---------------- | ------ | ------------ | -------------------------------- | ----------------------------------------------------------------------- |
|
||||
| Nele Grundke | | | f61621cbe911f21ddd781c21e4528b07 | [n.grundke@tu-braunschweig.de](mailto:n.grundke@tu-braunschweig.de) |
|
||||
| Julia Limbach | | | 2f7f31211275384791a1799cd95750bf | [j.limbach@tu-braunschweig.de](mailto:j.limbach@tu-braunschweig.de) |
|
||||
| Melina Sablotny | | | 4111400b4ae2c863a1c4b73a21f87093 | [m.sablotny@tu-braunschweig.de](mailto:m.sablotny@tu-braunschweig.de) |
|
||||
| Lucy Thiele | | | 4c0ddab5bed6ff025cee04f8d73301a3 | [lucy.thiele@tu-braunschweig.de](mailto:lucy.thiele@tu-braunschweig.de) |
|
||||
| Marleen, Adolphi | | | bb549f9016ee05a07ce271c10482879d | [m.adolphi@tu-braunschweig.de](mailto:m.adolphi@tu-braunschweig.de) |
|
||||
|
||||
# Notizen
|
||||
|
||||
# Prüfung
|
||||
@@ -0,0 +1,20 @@
|
||||
---
|
||||
parent: "[[Gruppe]]"
|
||||
tags:
|
||||
- Gruppe
|
||||
- Prüfung
|
||||
- Punkte
|
||||
---
|
||||
# Mitglieder
|
||||
|
||||
| Name | Punkte | Durchschnitt | Jupyter Kennung | Mail |
|
||||
| ------------------- | ------ | ------------ | -------------------------------- | --------------------------------------------------------------------------------- |
|
||||
| Abdalaziz Abunjaila | 30.5 | | 79b388885f89954decaefc9e19aa8871 | [a.abunjaila@tu-braunschweig.de](mailto:a.abunjaila@tu-braunschweig.de) |
|
||||
| | | | | |
|
||||
| Alea Schleier | | | beb3bcd7515400b58f6fab7567193cbf | [a.schleier@tu-braunschweig.de](mailto:a.schleier@tu-braunschweig.de) |
|
||||
| Marie Seeger | | | f7017b11a2904a74302c9f4f217779fb | [marie.seeger@tu-braunschweig.de](mailto:marie.seeger@tu-braunschweig.de) |
|
||||
| Lilly-Lu Warnken | | | 5fe894b59ff39da82ac4361dcb2d35b8 | [lilly-lu.warnken@tu-braunschweig.de](mailto:lilly-lu.warnken@tu-braunschweig.de) |
|
||||
|
||||
# Notizen
|
||||
|
||||
# Prüfung
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because one or more lines are too long
1328
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Jupyter/5.SciPy.ipynb
Normal file
1328
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Jupyter/5.SciPy.ipynb
Normal file
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
6064
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Jupyter/8.Folium.ipynb
Normal file
6064
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Jupyter/8.Folium.ipynb
Normal file
File diff suppressed because it is too large
Load Diff
File diff suppressed because one or more lines are too long
181
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Jupyter/Bees.csv
Normal file
181
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Jupyter/Bees.csv
Normal file
@@ -0,0 +1,181 @@
|
||||
species,length,parasites
|
||||
Fuchsrote Lockensandbiene,13.3,1.0
|
||||
Fuchsrote Lockensandbiene,12.0,2.0
|
||||
Fuchsrote Lockensandbiene,13.8,2.0
|
||||
Fuchsrote Lockensandbiene,13.9,1.0
|
||||
Fuchsrote Lockensandbiene,11.0,0.0
|
||||
Fuchsrote Lockensandbiene,11.7,2.0
|
||||
Fuchsrote Lockensandbiene,13.1,1.0
|
||||
Fuchsrote Lockensandbiene,12.7,3.0
|
||||
Fuchsrote Lockensandbiene,13.0,1.0
|
||||
Fuchsrote Lockensandbiene,12.1,0.0
|
||||
Fuchsrote Lockensandbiene,13.9,2.0
|
||||
Fuchsrote Lockensandbiene,13.8,0.0
|
||||
Fuchsrote Lockensandbiene,13.1,1.0
|
||||
Fuchsrote Lockensandbiene,14.1,2.0
|
||||
Fuchsrote Lockensandbiene,13.5,3.0
|
||||
Fuchsrote Lockensandbiene,12.1,1.0
|
||||
Fuchsrote Lockensandbiene,13.4,1.0
|
||||
Fuchsrote Lockensandbiene,12.0,2.0
|
||||
Fuchsrote Lockensandbiene,13.9,3.0
|
||||
Fuchsrote Lockensandbiene,13.0,2.0
|
||||
Fuchsrote Lockensandbiene,12.8,0.0
|
||||
Fuchsrote Lockensandbiene,12.3,0.0
|
||||
Fuchsrote Lockensandbiene,14.2,1.0
|
||||
Fuchsrote Lockensandbiene,12.8,0.0
|
||||
Fuchsrote Lockensandbiene,12.6,2.0
|
||||
Fuchsrote Lockensandbiene,12.6,0.0
|
||||
Fuchsrote Lockensandbiene,13.5,2.0
|
||||
Fuchsrote Lockensandbiene,13.4,2.0
|
||||
Fuchsrote Lockensandbiene,13.4,2.0
|
||||
Fuchsrote Lockensandbiene,13.4,1.0
|
||||
Fuchsrote Lockensandbiene,15.1,2.0
|
||||
Fuchsrote Lockensandbiene,12.6,2.0
|
||||
Fuchsrote Lockensandbiene,12.5,2.0
|
||||
Fuchsrote Lockensandbiene,12.2,0.0
|
||||
Fuchsrote Lockensandbiene,13.6,0.0
|
||||
Fuchsrote Lockensandbiene,14.1,3.0
|
||||
Fuchsrote Lockensandbiene,12.9,1.0
|
||||
Fuchsrote Lockensandbiene,12.2,1.0
|
||||
Fuchsrote Lockensandbiene,12.2,1.0
|
||||
Fuchsrote Lockensandbiene,13.7,2.0
|
||||
Fuchsrote Lockensandbiene,13.7,3.0
|
||||
Fuchsrote Lockensandbiene,13.5,1.0
|
||||
Fuchsrote Lockensandbiene,12.3,3.0
|
||||
Fuchsrote Lockensandbiene,13.2,0.0
|
||||
Fuchsrote Lockensandbiene,13.1,2.0
|
||||
Fuchsrote Lockensandbiene,13.2,2.0
|
||||
Fuchsrote Lockensandbiene,13.9,0.0
|
||||
Fuchsrote Lockensandbiene,13.2,0.0
|
||||
Fuchsrote Lockensandbiene,13.7,1.0
|
||||
Fuchsrote Lockensandbiene,13.1,3.0
|
||||
Fuchsrote Lockensandbiene,13.3,2.0
|
||||
Fuchsrote Lockensandbiene,13.6,3.0
|
||||
Fuchsrote Lockensandbiene,11.5,2.0
|
||||
Fuchsrote Lockensandbiene,12.7,1.0
|
||||
Fuchsrote Lockensandbiene,12.5,2.0
|
||||
Fuchsrote Lockensandbiene,12.4,0.0
|
||||
Fuchsrote Lockensandbiene,12.7,0.0
|
||||
Fuchsrote Lockensandbiene,14.5,2.0
|
||||
Fuchsrote Lockensandbiene,12.1,2.0
|
||||
Fuchsrote Lockensandbiene,14.0,1.0
|
||||
Ackerhummel,7.0,2.0
|
||||
Ackerhummel,11.0,2.0
|
||||
Ackerhummel,12.5,3.0
|
||||
Ackerhummel,13.8,2.0
|
||||
Ackerhummel,14.1,2.0
|
||||
Ackerhummel,14.4,1.0
|
||||
Ackerhummel,11.0,2.0
|
||||
Ackerhummel,10.6,3.0
|
||||
Ackerhummel,14.6,3.0
|
||||
Ackerhummel,11.4,2.0
|
||||
Ackerhummel,8.2,1.0
|
||||
Ackerhummel,8.6,1.0
|
||||
Ackerhummel,9.2,3.0
|
||||
Ackerhummel,13.5,3.0
|
||||
Ackerhummel,12.4,0.0
|
||||
Ackerhummel,14.1,0.0
|
||||
Ackerhummel,10.7,2.0
|
||||
Ackerhummel,12.5,1.0
|
||||
Ackerhummel,13.9,3.0
|
||||
Ackerhummel,11.1,1.0
|
||||
Ackerhummel,13.4,1.0
|
||||
Ackerhummel,10.0,4.0
|
||||
Ackerhummel,10.9,1.0
|
||||
Ackerhummel,10.9,1.0
|
||||
Ackerhummel,8.4,1.0
|
||||
Ackerhummel,13.5,0.0
|
||||
Ackerhummel,10.6,0.0
|
||||
Ackerhummel,12.0,0.0
|
||||
Ackerhummel,13.4,1.0
|
||||
Ackerhummel,13.3,0.0
|
||||
Ackerhummel,14.0,2.0
|
||||
Ackerhummel,11.7,3.0
|
||||
Ackerhummel,10.7,2.0
|
||||
Ackerhummel,11.8,1.0
|
||||
Ackerhummel,6.9,2.0
|
||||
Ackerhummel,7.7,4.0
|
||||
Ackerhummel,8.0,3.0
|
||||
Ackerhummel,9.0,0.0
|
||||
Ackerhummel,13.2,1.0
|
||||
Ackerhummel,9.3,1.0
|
||||
Ackerhummel,10.9,1.0
|
||||
Ackerhummel,15.9,2.0
|
||||
Ackerhummel,10.9,2.0
|
||||
Ackerhummel,14.2,0.0
|
||||
Ackerhummel,9.2,1.0
|
||||
Ackerhummel,11.4,2.0
|
||||
Ackerhummel,9.1,0.0
|
||||
Ackerhummel,11.0,3.0
|
||||
Ackerhummel,14.5,0.0
|
||||
Ackerhummel,6.8,4.0
|
||||
Ackerhummel,13.3,0.0
|
||||
Ackerhummel,12.7,3.0
|
||||
Ackerhummel,10.2,4.0
|
||||
Ackerhummel,7.7,4.0
|
||||
Ackerhummel,12.2,3.0
|
||||
Ackerhummel,10.4,3.0
|
||||
Ackerhummel,12.7,3.0
|
||||
Ackerhummel,12.1,3.0
|
||||
Ackerhummel,16.8,1.0
|
||||
Ackerhummel,11.3,2.0
|
||||
Platterbsen-Mörtelbiene,13.0,1.0
|
||||
Platterbsen-Mörtelbiene,14.2,2.0
|
||||
Platterbsen-Mörtelbiene,14.2,1.0
|
||||
Platterbsen-Mörtelbiene,15.4,1.0
|
||||
Platterbsen-Mörtelbiene,14.8,1.0
|
||||
Platterbsen-Mörtelbiene,14.4,1.0
|
||||
Platterbsen-Mörtelbiene,15.5,0.0
|
||||
Platterbsen-Mörtelbiene,12.8,1.0
|
||||
Platterbsen-Mörtelbiene,13.4,1.0
|
||||
Platterbsen-Mörtelbiene,13.1,0.0
|
||||
Platterbsen-Mörtelbiene,13.6,1.0
|
||||
Platterbsen-Mörtelbiene,12.6,1.0
|
||||
Platterbsen-Mörtelbiene,14.6,1.0
|
||||
Platterbsen-Mörtelbiene,13.8,1.0
|
||||
Platterbsen-Mörtelbiene,12.5,1.0
|
||||
Platterbsen-Mörtelbiene,13.0,1.0
|
||||
Platterbsen-Mörtelbiene,14.3,2.0
|
||||
Platterbsen-Mörtelbiene,14.8,2.0
|
||||
Platterbsen-Mörtelbiene,16.0,1.0
|
||||
Platterbsen-Mörtelbiene,16.9,1.0
|
||||
Platterbsen-Mörtelbiene,14.4,1.0
|
||||
Platterbsen-Mörtelbiene,13.0,2.0
|
||||
Platterbsen-Mörtelbiene,11.9,1.0
|
||||
Platterbsen-Mörtelbiene,14.3,2.0
|
||||
Platterbsen-Mörtelbiene,13.2,1.0
|
||||
Platterbsen-Mörtelbiene,13.6,1.0
|
||||
Platterbsen-Mörtelbiene,13.4,1.0
|
||||
Platterbsen-Mörtelbiene,13.9,1.0
|
||||
Platterbsen-Mörtelbiene,15.1,0.0
|
||||
Platterbsen-Mörtelbiene,14.2,1.0
|
||||
Platterbsen-Mörtelbiene,13.8,2.0
|
||||
Platterbsen-Mörtelbiene,13.0,0.0
|
||||
Platterbsen-Mörtelbiene,12.3,1.0
|
||||
Platterbsen-Mörtelbiene,13.5,0.0
|
||||
Platterbsen-Mörtelbiene,13.9,1.0
|
||||
Platterbsen-Mörtelbiene,15.8,0.0
|
||||
Platterbsen-Mörtelbiene,14.1,2.0
|
||||
Platterbsen-Mörtelbiene,15.0,0.0
|
||||
Platterbsen-Mörtelbiene,13.5,2.0
|
||||
Platterbsen-Mörtelbiene,12.8,2.0
|
||||
Platterbsen-Mörtelbiene,13.0,1.0
|
||||
Platterbsen-Mörtelbiene,13.3,2.0
|
||||
Platterbsen-Mörtelbiene,16.1,2.0
|
||||
Platterbsen-Mörtelbiene,13.2,2.0
|
||||
Platterbsen-Mörtelbiene,14.8,1.0
|
||||
Platterbsen-Mörtelbiene,13.1,1.0
|
||||
Platterbsen-Mörtelbiene,14.9,0.0
|
||||
Platterbsen-Mörtelbiene,14.4,1.0
|
||||
Platterbsen-Mörtelbiene,13.8,0.0
|
||||
Platterbsen-Mörtelbiene,14.0,1.0
|
||||
Platterbsen-Mörtelbiene,13.3,1.0
|
||||
Platterbsen-Mörtelbiene,14.4,1.0
|
||||
Platterbsen-Mörtelbiene,13.5,1.0
|
||||
Platterbsen-Mörtelbiene,12.8,2.0
|
||||
Platterbsen-Mörtelbiene,12.7,2.0
|
||||
Platterbsen-Mörtelbiene,14.2,1.0
|
||||
Platterbsen-Mörtelbiene,15.6,1.0
|
||||
Platterbsen-Mörtelbiene,14.2,2.0
|
||||
Platterbsen-Mörtelbiene,13.9,0.0
|
||||
Platterbsen-Mörtelbiene,14.3,0.0
|
||||
|
File diff suppressed because it is too large
Load Diff
BIN
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Jupyter/meme.png
Normal file
BIN
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Jupyter/meme.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 19 KiB |
@@ -0,0 +1,46 @@
|
||||
Jahr,Monat,Geschlecht,Nominallohn
|
||||
2024,Oktober,männlich,106.09999999999999
|
||||
2023,September,männlich,100.09999999999999
|
||||
2023,Juli,männlich,104.3
|
||||
2024,September,weiblich,106.8
|
||||
2023,Mai,männlich,106.7
|
||||
2024,Juli,weiblich,108.8
|
||||
2023,März,männlich,103.8
|
||||
2024,Mai,weiblich,110.40000000000001
|
||||
2023,Januar,männlich,99.599999999999994
|
||||
2024,März,weiblich,110.40000000000001
|
||||
2024,Januar,weiblich,104.7
|
||||
2023,Mai,weiblich,103.2
|
||||
2023,Juli,weiblich,103.2
|
||||
2023,Januar,weiblich,99.400000000000006
|
||||
2023,März,weiblich,101.2
|
||||
2023,September,weiblich,101.2
|
||||
2023,November,männlich,131.59999999999999
|
||||
2024,August,männlich,105.8
|
||||
2024,Juni,männlich,112.7
|
||||
2024,April,männlich,116.3
|
||||
2024,Februar,männlich,104.90000000000001
|
||||
2023,November,weiblich,142.59999999999999
|
||||
2023,August,männlich,99.799999999999997
|
||||
2023,Juni,männlich,109.09999999999999
|
||||
2023,April,männlich,108.8
|
||||
2023,Februar,männlich,98.099999999999994
|
||||
2024,August,weiblich,109.59999999999999
|
||||
2024,Juni,weiblich,111.40000000000001
|
||||
2024,April,weiblich,111.8
|
||||
2024,Februar,weiblich,105
|
||||
2023,April,weiblich,103.8
|
||||
2023,Juni,weiblich,109.40000000000001
|
||||
2023,Februar,weiblich,98.5
|
||||
2023,August,weiblich,100.5
|
||||
2023,Dezember,männlich,109.2
|
||||
2024,Juli,männlich,110.09999999999999
|
||||
2023,Oktober,weiblich,101.8
|
||||
2024,Mai,männlich,114
|
||||
2023,Oktober,männlich,100.90000000000001
|
||||
2024,März,männlich,110.40000000000001
|
||||
2024,Oktober,weiblich,107.2
|
||||
2024,Januar,männlich,105
|
||||
2023,Dezember,weiblich,108.59999999999999
|
||||
2024,September,männlich,104.8
|
||||
|
||||
|
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,27 @@
|
||||
"Zeitstempel","Wie Alt bist du?","Bewerte deine bisherige Erfahrung mit Gruppenarbeiten an der Universität","Welches Geschlecht hast du?","Was studieren du?","Auf einer Skala von 1-5 (1 - absolut unzufrieden, 5 - absolut zufrieden), wie beurteilst du deinen Studiengang?","Nutzt du ein Smartphone?","Wenn Ja, von welcher Marke ist ihr Smartphone?","Bewerte die allgemeine Politische Situation in Deutschland.","Auf einer Skala von 1-5 (1 - Sehr gut, 5 - Garnicht), wie gut schätzen du dich selbst ein die Programmiersprache Python zu beherrschen ?","Besitzen du einen Heimrechner (Laptop, Standrechner, etc.; Kein Smartphone!)","Wenn Ja, welches Betriebsystem verwendst du?","Ich habe mich (in meinem bisherigen leben) mindestens einmal strukturell benachteiligt gefühlt.","Auf einer Skala von 1-5 (5 Sehr gut, 1 Garnicht), wie gut schätz du dich selbst ein Programmieren zu können?","Ich komme aus..."
|
||||
"2025/01/17 3:01:58 PM MEZ","22","3","Weiblich","Medienwissenschaften","2","Ja","Apple","1","3","Ja","Windows 11","Ja","2","dem normalem Mittelstand"
|
||||
"2025/01/17 3:02:20 PM MEZ","23","3","Weiblich","Medienwissenschaften","4","Ja","Apple","2","4","Ja","Mac OS","Ja","2","Einem sehr gut situierten Haushalt"
|
||||
"2025/01/17 3:02:20 PM MEZ","30","3","Männlich","Medienwissenschaften","3","Ja","Sonstige","3","3","Ja","Windows 11","Nein","3","dem normalem Mittelstand"
|
||||
"2025/01/17 3:02:24 PM MEZ","21","4","Weiblich","Medienwissenschaften","3","Ja","Apple","2","4","Ja","Mac OS","Ja","4","dem normalem Mittelstand"
|
||||
"2025/01/17 3:02:26 PM MEZ","27","4","Weiblich","Medienwissenschaften","2","Ja","Samsung","2","4","Ja","Mac OS","Ja","3","ärmlichen Verhältnissen"
|
||||
"2025/01/17 3:02:31 PM MEZ","21","2","Weiblich","Sonstige","4","Ja","Apple","3","4","Ja","Mac OS","Nein","4","dem normalem Mittelstand"
|
||||
"2025/01/17 3:02:43 PM MEZ","22","2","Weiblich","Medienwissenschaften","3","Ja","Apple","2","5","Ja","Mac OS","Ja","1","dem normalem Mittelstand"
|
||||
"2025/01/17 3:02:44 PM MEZ","23","3","Weiblich","Sonstige","3","Ja","Sonstige","2","3","Ja","Mac OS","Ja","3","dem normalem Mittelstand"
|
||||
"2025/01/17 3:02:46 PM MEZ","21","3","Weiblich","Medienwissenschaften","3","Ja","Apple","2","4","Ja","Windows 11","Ja","2","dem normalem Mittelstand"
|
||||
"2025/01/17 3:02:58 PM MEZ","22","2","Weiblich","Medienwissenschaften","3","Ja","Apple","2","4","Ja","Windows 11","Ja","2","ärmlichen Verhältnissen"
|
||||
"2025/01/17 3:02:59 PM MEZ","21","4","Weiblich","Medienwissenschaften","3","Ja","Apple","2","4","Ja","Windows 11","Ja","2","dem normalem Mittelstand"
|
||||
"2025/01/17 3:03:00 PM MEZ","24","3","Weiblich","Medienwissenschaften","3","Ja","Apple","1","3","Ja","Windows 10","Nein","1","dem normalem Mittelstand"
|
||||
"2025/01/17 3:03:07 PM MEZ","25","4","Weiblich","Medienwissenschaften","3","Ja","Apple","2","3","Ja","Windows 10","Ja","3","dem normalem Mittelstand"
|
||||
"2025/01/17 3:03:14 PM MEZ","24","3","Weiblich","Medienwissenschaften","3","Ja","Apple","1","3","Ja","Mac OS","Ja","3","dem normalem Mittelstand"
|
||||
"2025/01/17 3:03:18 PM MEZ","21","3","Weiblich","Medienwissenschaften","3","Ja","Apple","3","4","Ja","Mac OS","Ja","2","dem normalem Mittelstand"
|
||||
"2025/01/17 3:03:26 PM MEZ","21","3","Weiblich","Medienwissenschaften","3","Ja","Apple","2","4","Ja","Windows 10","Nein","2","dem normalem Mittelstand"
|
||||
"2025/01/17 3:03:28 PM MEZ","21","2","Weiblich","Medienwissenschaften","2","Ja","Apple","3","2","Ja","Mac OS","Nein","3","Einem sehr gut situierten Haushalt"
|
||||
"2025/01/17 3:03:31 PM MEZ","22","4","Weiblich","Medienwissenschaften","5","Ja","Apple","3","4","Ja","Windows 10","Ja","2","dem normalem Mittelstand"
|
||||
"2025/01/17 3:03:31 PM MEZ","20","3","Weiblich","Medienwissenschaften","3","Ja","Apple","2","4","Ja","Windows 10","Nein","2","dem normalem Mittelstand"
|
||||
"2025/01/17 3:04:07 PM MEZ","21","3","Weiblich","Sonstige","4","Ja","Apple","2","3","Ja","Windows 11","Ja","2","dem normalem Mittelstand"
|
||||
"2025/01/17 3:04:11 PM MEZ","23","3","Weiblich","Sonstige","4","Ja","Apple","1","3","Ja","Mac OS","Ja","3","dem normalem Mittelstand"
|
||||
"2025/01/17 3:04:13 PM MEZ","26","3","Männlich","Sonstige","4","Ja","Apple","2","3","Ja","Windows 10","Ja","3","dem normalem Mittelstand"
|
||||
"2025/01/17 3:07:39 PM MEZ","21","4","Weiblich","Medienwissenschaften","4","Ja","Apple","2","3","Ja","Mac OS","Ja","2","dem normalem Mittelstand"
|
||||
"2025/01/17 3:11:27 PM MEZ","204","3","Weiblich","Medienwissenschaften","3","Ja","Apple","2","4","Ja","Mac OS","Ja","1","ärmlichen Verhältnissen"
|
||||
"2025/01/17 3:11:54 PM MEZ","21","3","Weiblich","Medienwissenschaften","4","Ja","Xiaomi","3","3","Ja","Windows 11","Nein","2","dem normalem Mittelstand"
|
||||
"2025/01/17 3:49:36 PM MEZ","19","3","Weiblich","Medienwissenschaften","3","Ja","Samsung","3","4","Ja","Windows 11","Nein","3","dem normalem Mittelstand"
|
||||
|
@@ -0,0 +1,41 @@
|
||||
University name,Type of university,Sponsorship,Right of promotion,Founding year,Number of students,Address,lat,lon,plz,pic
|
||||
Hochschule für Bildende Künste Braunschweig,Artistic university,public,yes,1963,976,Johannes-Selenka-Platz 1,52.2577384,10.5023145,38118 Braunschweig,https://www.hbk-bs.de/fileadmin/_processed_/5/1/csm_HBK_Logo_9f3f898a2b.png
|
||||
Technische Universität Carolo-Wilhelmina zu Braunschweig,University,public,yes,1745,17709,Universitätspl. 2,52.27355,10.530097,38106 Braunschweig,https://upload.wikimedia.org/wikipedia/commons/thumb/9/9d/Siegel_TU_Braunschweig_transparent.svg/1200px-Siegel_TU_Braunschweig_transparent.svg.png
|
||||
Hochschule 21,University of Applied Sciences,privat,no,2005,1084,Harburger Str. 6,53.47765,9.70465,21614 Buxtehude,https://upload.wikimedia.org/wikipedia/commons/thumb/b/bd/Hochschule_21_logo.svg/2560px-Hochschule_21_logo.svg.png
|
||||
Technische Universität Clausthal,University,public,yes,1775,3446,Adolph-Roemer-Straße 2A,51.80484,10.33411,38678 Clausthal-Zellerfeld,https://www.presse.tu-clausthal.de/fileadmin/TU_Clausthal/images/CorporateDesign/Logo/Logo_TUC_en_RGB_gross.gif
|
||||
Hochschule Emden/Leer,University of Applied Sciences,public,no,2009,4481,Constantiapl. 4,53.36816,7.18141,26723 Emden,https://sta-hisweb.hs-emden-leer.de/QIS/images//logo_el.jpg
|
||||
PFH – Private Hochschule Göttingen,University of Applied Sciences,privat,no,1995,4226,Weender Landstraße 3-7,51.53891,9.93322,37073 Göttingen,https://goettingen-campus.de/fileadmin/_processed_/d/7/csm_logopfh_20f8eee765.jpg
|
||||
Georg-August-Universität Göttingen,University,public,yes,1737,28614,Wilhelmsplatz 1,51.53407,9.93785,37073 Göttingen,https://upload.wikimedia.org/wikipedia/commons/c/c0/Logo_Uni_G%C3%B6ttingen_2022.png
|
||||
Fachhochschule für die Wirtschaft Hannover,University of Applied Sciences,privat,no,1996,641,Freundallee 15,52.3662,9.77247,30173 Hannover,https://upload.wikimedia.org/wikipedia/commons/5/5c/Fachhochschule_f%C3%BCr_die_Wirtschaft_logo.svg
|
||||
Hochschule Hannover,University of Applied Sciences,public,no,1971,9209,Ricklinger Stadtweg 120,52.35419,9.72238,30459 Hannover,https://upload.wikimedia.org/wikipedia/commons/thumb/0/0e/HsH_Logo.svg/1200px-HsH_Logo.svg.png
|
||||
"Hochschule für Musik, Theater und Medien Hannover",Artistic university,public,yes,1897,1409,Neues Haus 1,52.37738,9.75392,30175 Hannover,https://upload.wikimedia.org/wikipedia/commons/thumb/7/78/HMTM-Logo-2010.svg/1200px-HMTM-Logo-2010.svg.png
|
||||
Leibniz-Fachhochschule,University of Applied Sciences,privat,no,1920,589,Expo Plaza 11,52.32115,9.81868,30539 Hannover,https://www.visit-hannover.com/var/storage/images/_aliases/image_full/media/01-data-neu/bilder/redaktion-hannover.de/portale/initiative-wissenschaft/leibniz-fh/leibniz-fachhochschule-logo/8135360-1-ger-DE/Leibniz-Fachhochschule-Logo.jpg
|
||||
Medizinische Hochschule Hannover (MHH),University,public,yes,1963,3778,Carl-Neuberg-Straße 1,52.38405,9.80603,30625 Hannover,https://upload.wikimedia.org/wikipedia/commons/thumb/3/3d/Medizinische_Hochschule_Hannover_logo.svg/2560px-Medizinische_Hochschule_Hannover_logo.svg.png
|
||||
Stiftung Tierärztliche Hochschule Hannover,University,public,yes,1778,2381,Bünteweg 2,52.35468,9.79773,30559 Hannover,https://upload.wikimedia.org/wikipedia/de/thumb/5/59/Tier%C3%A4rztliche_Hochschule_Hannover_logo.svg/1200px-Tier%C3%A4rztliche_Hochschule_Hannover_logo.svg.png
|
||||
Gottfried Wilhelm Leibniz Universität Hannover,University,public,yes,1831,28935,Welfengarten 1,52.38225,9.71777,30167 Hannover,https://www.uni-hannover.de/fileadmin/_processed_/1/5/csm_luh-logo-3x2_8dea6c08fc.jpg
|
||||
Fachhochschule für Interkulturelle Theologie Hermannsburg,University of Applied Sciences,privat,no,2012,91,Missionsstraße 3-5,52.708843,10.14071,29320 Südheide,https://cdn.max-e5.info/damfiles/logo/fh_hermannsburg/fh_hermannsburg/Kopfgrafik/Logo-FIT--weiss.jpg-b5f510cb468ab8840e0f2e62b703208e.jpg
|
||||
Universität Hildesheim,University,public,yes,1978,8378,Universitätspl. 1,52.13401,9.97469,31141 Hildesheim,https://www.uni-hildesheim.de/media/_processed_/d/8/csm_Bildkombo_Logo_Uni_Hildesheim-1850_8fd99cc21e.jpg
|
||||
HAWK Hochschule für angewandte Wissenschaft und Kunst Hildesheim,University of Applied Sciences,public,no,1971,6495,Hohnsen 4,52.14246,9.95798,31134 Hildesheim,https://upload.wikimedia.org/wikipedia/commons/0/02/HAWK-Logo.jpg
|
||||
HAWK Hochschule für angewandte Wissenschaft und Kunst Holzminden,University of Applied Sciences,public,no,1971,6495,Haarmannpl. 3,51.82726,9.45069,37603 Holzminden,https://upload.wikimedia.org/wikipedia/commons/0/02/HAWK-Logo.jpg
|
||||
HAWK Hochschule für angewandte Wissenschaft und Kunst Göttingen,University of Applied Sciences,public,no,1971,6495,Von-Ossietzky-Straße 99,51.52175,9.96967,37085 Göttingen,https://upload.wikimedia.org/wikipedia/commons/0/02/HAWK-Logo.jpg
|
||||
Leuphana Universität Lüneburg,University,public,yes,1946,6497,Universitätsallee 1,53.228531,10.40171,21335 Lüneburg,https://upload.wikimedia.org/wikipedia/commons/thumb/9/93/Leuphana_Universit%C3%A4t_L%C3%BCneburg_Logo_2020.svg/2560px-Leuphana_Universit%C3%A4t_L%C3%BCneburg_Logo_2020.svg.png
|
||||
Norddeutsche Hochschule für Rechtspflege – Niedersachsen,University of Administration,public,no,2007,6409,Godehardspl. 6,52.14484,9.94923,31134 Hildesheim,https://static.studycheck.de/media/images/institute_logos/small/hr-nord.jpg
|
||||
Kommunale Hochschule für Verwaltung in Niedersachsen,University of Administration,public,no,2007,1570,Wielandstraße 8,52.3705,9.72239,30169 Hannover,https://www.nsi-hsvn.de/fileadmin/user_upload/02_Studium/big-hsvn_logo.png
|
||||
"Carl von Ossietzky Universität Oldenburg
|
||||
",University,public,yes,1973,15635,Uhlhornsweg 49-55,53.14734,8.17902,26129 Oldenburg,https://upload.wikimedia.org/wikipedia/commons/thumb/2/22/Carl_von_Ossietzky_Universit%C3%A4t_Oldenburg_logo.svg/1200px-Carl_von_Ossietzky_Universit%C3%A4t_Oldenburg_logo.svg.png
|
||||
Hochschule Osnabrück,University of Applied Sciences,public,no,1971,13620,Albrechtstraße 30,52.28268,8.02501,49076 Osnabrück,https://login.hs-osnabrueck.de/nidp/hsos/images/hsos-logo.png
|
||||
Universität Osnabrück,University,public,yes,1973,13640,Neuer Graben 29,52.27137,8.04454,49074 Osnabrück,https://www.eh-tabor.de/sites/default/files/styles/width980px/public/logo-universitaet-osnabrueck.png?itok=DmZEq9ka
|
||||
"Hochschule Braunschweig/Wolfenbüttel, Ostfalia Hochschule für angewandte Wissenschaften",University of Applied Sciences,public,no,1971,11577,Salzdahlumer Str. 46/48,52.17683,10.54865,38302 Wolfenbüttel,https://www.ostfalia.de/export/system/modules/de.ostfalia.module.template/resources/images/logo/Ostfalia_German.png_230952558.png
|
||||
"Hochschule Wolfsburg, Ostfalia Hochschule für angewandte Wissenschaften",University of Applied Sciences,public,no,1971,11577,Robert-Koch-Platz 8A,52.42595,10.78711,38440 Wolfsburg,https://www.ostfalia.de/export/system/modules/de.ostfalia.module.template/resources/images/logo/Ostfalia_German.png_230952558.png
|
||||
"Hochschule Suderburg, Ostfalia Hochschule für angewandte Wissenschaften",University of Applied Sciences,public,no,1971,11577,Herbert-Meyer-Straße 7,52.89761,10.44659,29556 Suderburg,https://www.ostfalia.de/export/system/modules/de.ostfalia.module.template/resources/images/logo/Ostfalia_German.png_230952558.png
|
||||
"Hochschule Salzgitter, Ostfalia Hochschule für angewandte Wissenschaften",University of Applied Sciences,public,no,1971,11577,Karl-Scharfenberg-Straße 55/57,52.08724,10.38055,38229 Salzgitter,https://www.ostfalia.de/export/system/modules/de.ostfalia.module.template/resources/images/logo/Ostfalia_German.png_230952558.png
|
||||
"Hochschule für Künste im Sozialen, Ottersberg",University of Applied Sciences,privat,no,1967,342,Große Str. 107,53.10668,9.1631,28870 Ottersberg,https://upload.wikimedia.org/wikipedia/commons/thumb/e/eb/Logo_HKS_Ottersberg.svg/1200px-Logo_HKS_Ottersberg.svg.png
|
||||
Private Hochschule für Wirtschaft und Technik Vechta,University of Applied Sciences,privat,no,1998,558,Rombergstraße 40,52.72125,8.27891,49377 Vechta,https://www.phwt.de/wp-content/uploads/2020/09/phwt-logo-free.png
|
||||
Private Hochschule für Wirtschaft und Technik Diepholz,University of Applied Sciences,privat,no,1998,558,Schlesier Str. 13A,52.61171,8.36334,49356 Diepholz,https://www.phwt.de/wp-content/uploads/2020/09/phwt-logo-free.png
|
||||
Universität Vechta,University,public,yes,1995,4.551,Driverstraße 22,52.72117,8.2938,49377 Vechta,https://upload.wikimedia.org/wikipedia/commons/0/08/Logo_Uni_Vechta-neu.png
|
||||
Hochschule Weserbergland,University of Applied Sciences,privat,no,2010,485,Am Stockhof 2,52.09875,9.35542,31785 Hameln,https://upload.wikimedia.org/wikipedia/commons/thumb/0/04/Hochschule_Weserbergland_logo.svg/1200px-Hochschule_Weserbergland_logo.svg.png
|
||||
Jade Hochschule – Wilhelmshaven,University of Applied Sciences,public,no,2009,6789,Friedrich-Paffrath-Straße 101,53.54787,8.08804,26389 Wilhelmshaven,https://www.jade-hs.de/fileadmin/layout2016/assets/jadehs-logo.png
|
||||
Jade Hochschule – Oldenburg,University of Applied Sciences,public,no,2009,6789,Ofener Str. 16/19,53.14179,8.20213,26121 Oldenburg,https://www.jade-hs.de/fileadmin/layout2016/assets/jadehs-logo.png
|
||||
Jade Hochschule – Elsfleth,University of Applied Sciences,public,no,2009,6789,Weserstraße 52,53.24244,8.46651,26931 Elsfleth,https://www.jade-hs.de/fileadmin/layout2016/assets/jadehs-logo.png
|
||||
Steuerakademie Niedersachsen Rinteln,University of Administration,public,no,2006,500,Wilhelm-Busch-Weg 29,52.20696,9.09112,31737 Rinteln,https://www.steuerakademie.niedersachsen.de/assets/image/232/85611
|
||||
Steuerakademie Niedersachsen Bad Eilsen,University of Administration,public,no,2006,500,Bahnhofstraße 5,52.23981,9.10423,31707 Bad Eilsen,https://www.steuerakademie.niedersachsen.de/assets/image/232/85611
|
||||
|
Binary file not shown.
@@ -0,0 +1,261 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
- [x] Jorswiecks Part - doing the intro
|
||||
- [x] Umfrage
|
||||
- [x] Teilnehmer
|
||||
- [x] Studiengang
|
||||
- [x] Semester
|
||||
- [x] 3 CP oder 6 CP
|
||||
- [x] Ratefragen
|
||||
- [x] Strucktur des Kurses
|
||||
- [x] Spielregeln
|
||||
|
||||
![[Einführung.pdf]]
|
||||
|
||||
# Auswertung Umfrage
|
||||
|
||||
## Teilnehmer
|
||||
|
||||
**Bachelor / Master Verteilung**
|
||||
N = 38
|
||||
```chart
|
||||
type: pie
|
||||
id: BMA
|
||||
layout: column
|
||||
width: 40%
|
||||
```
|
||||
|
||||
| Studiengang | Anzahl |
|
||||
| ----------- | ------ |
|
||||
| Bachelor | 34 |
|
||||
| Master | 4 |
|
||||
^BMA
|
||||
|
||||
---
|
||||
**Studiengang**
|
||||
N = 36
|
||||
```chart
|
||||
type: bar
|
||||
id: studiengang
|
||||
layout: row
|
||||
width: 90%
|
||||
beginAtZero: true
|
||||
```
|
||||
|
||||
| Studiengang | Anzahl |
|
||||
| ---------------------- | ------ |
|
||||
| MeWi B.A. | 30 |
|
||||
| MeWi M.A. | 1 |
|
||||
| Ingeneurwissenschaften | 1 |
|
||||
| Sonstige | 4 |
|
||||
^studiengang
|
||||
|
||||
---
|
||||
**Semester**
|
||||
N = 37
|
||||
```chart
|
||||
type: bar
|
||||
id: semester
|
||||
layout: row
|
||||
width: 90%
|
||||
beginAtZero: true
|
||||
```
|
||||
|
||||
| Semester | Anzahl |
|
||||
| ------------------ | ------ |
|
||||
| Erstes / Zweites | 3 |
|
||||
| Drittes / Viertes | 28 |
|
||||
| Fünftes / Sechstes | 1 |
|
||||
| Siebtes / Achtes | 1 |
|
||||
| Über Neun | 4 |
|
||||
^semester
|
||||
|
||||
---
|
||||
## Wissensfragen
|
||||
**Programmiersprachen**
|
||||
N = 37
|
||||
```chart
|
||||
type: bar
|
||||
id: programmiersprachen
|
||||
layout: row
|
||||
width: 90%
|
||||
beginAtZero: true
|
||||
```
|
||||
|
||||
| Programmiersprache | Anzahl |
|
||||
| ------------------ | ------ |
|
||||
| C | 3 |
|
||||
| Brainf**k | 1 |
|
||||
| JavaScript | 18 |
|
||||
| Modula-2 | 0 |
|
||||
| HTML | 15 |
|
||||
^programmiersprachen
|
||||
|
||||
---
|
||||
**Vorlesungs Programmiersprache**
|
||||
N = 37
|
||||
```chart
|
||||
type: bar
|
||||
id: volprog
|
||||
layout: row
|
||||
width: 90%
|
||||
beginAtZero: true
|
||||
```
|
||||
|
||||
| Programmiersprache | Anzahl |
|
||||
| ------------------ | ------ |
|
||||
| JavaScript | 0 |
|
||||
| Python | 36 |
|
||||
| R | 0 |
|
||||
| Go | 0 |
|
||||
| Fortran 77 | 1 |
|
||||
^volprog
|
||||
|
||||
<span style="color:rgb(0, 176, 80)">Richtig: Python</span>
|
||||
|
||||
---
|
||||
**Erfinder Python**
|
||||
N = 38
|
||||
```chart
|
||||
type: bar
|
||||
id: erfinder
|
||||
layout: row
|
||||
width: 90%
|
||||
beginAtZero: true
|
||||
```
|
||||
|
||||
| Erfinder | Anzahl |
|
||||
| ----------------- | ------ |
|
||||
| Guido van Rossum | 6 |
|
||||
| Niklaus Wirth | 11 |
|
||||
| Ada Lovelace | 2 |
|
||||
| Alan Turing | 14 |
|
||||
| Katherine Johnson | 5 |
|
||||
^erfinder
|
||||
|
||||
<span style="color:rgb(0, 176, 80)">Richtig: Guido van Rossum</span>
|
||||
|
||||
---
|
||||
**Vorfreude auf ...**
|
||||
N = 38
|
||||
```chart
|
||||
type: bar
|
||||
id: vorfreude
|
||||
layout: row
|
||||
width: 90%
|
||||
beginAtZero: true
|
||||
```
|
||||
|
||||
| Antwort | Anzahl |
|
||||
| --------------------------- | ------ |
|
||||
| Diagramme | 10 |
|
||||
| automatisierte Datenanalyse | 16 |
|
||||
| Karten | 1 |
|
||||
| Dokumentationen | 2 |
|
||||
| Kuchendiagramme | 9 |
|
||||
^vorfreude
|
||||
|
||||
---
|
||||
## Ratefragen
|
||||
**Euler Summe**
|
||||
```python
|
||||
count = 0
|
||||
for i in range(101):
|
||||
count = count + 1
|
||||
print(count)
|
||||
```
|
||||
N = 38
|
||||
```chart
|
||||
type: bar
|
||||
id: euler
|
||||
layout: row
|
||||
width: 90%
|
||||
beginAtZero: true
|
||||
```
|
||||
|
||||
| Antwort | Anzahl |
|
||||
| ----------------------------- | ------ |
|
||||
| 7 | 4 |
|
||||
| 550 | 4 |
|
||||
| 5.050 | 4 |
|
||||
| 10.000 | 8 |
|
||||
| 1, 1, 2, 3, 5, 8, 13, 21, ... | 16 |
|
||||
^euler
|
||||
|
||||
<span style="color:rgb(0, 176, 80)">Richtig: 5.050</span>
|
||||
|
||||
---
|
||||
**String concat**
|
||||
```python
|
||||
message = "Python macht Spaß"
|
||||
print(message[13:17])
|
||||
```
|
||||
N = 37
|
||||
```chart
|
||||
type: bar
|
||||
id: string
|
||||
layout: row
|
||||
width: 90%
|
||||
beginAtZero: true
|
||||
```
|
||||
|
||||
| Antwort | Anzahl |
|
||||
| ------- | ------ |
|
||||
| ß apm | 4 |
|
||||
| Spa | 3 |
|
||||
| macht | 4 |
|
||||
| Spaß | 26 |
|
||||
| 0xcaffe | 0 |
|
||||
^string
|
||||
|
||||
<span style="color:rgb(0, 176, 80)">Richtig: Spaß</span>
|
||||
|
||||
---
|
||||
**List Comprehension**
|
||||
```python
|
||||
print([n*n for n in range(1,6)])
|
||||
```
|
||||
N = 37
|
||||
```chart
|
||||
type: bar
|
||||
id: list
|
||||
layout: row
|
||||
width: 90%
|
||||
beginAtZero: true
|
||||
```
|
||||
|
||||
| Antwort | Anzahl |
|
||||
| ------------- | ------ |
|
||||
| [1,2,3,4,5] | 4 |
|
||||
| [2,4,8,16,32] | 14 |
|
||||
| [1,4,9,16,25] | 19 |
|
||||
^list
|
||||
|
||||
<span style="color:rgb(0, 176, 80)">Richtig: [1,4,9,16,25]</span>
|
||||
|
||||
---
|
||||
**JavaScript**
|
||||
```javascript
|
||||
[]+{}
|
||||
```
|
||||
N = 37
|
||||
```chart
|
||||
type: pie
|
||||
id: js
|
||||
layout: row
|
||||
width: 40%
|
||||
beginAtZero: true
|
||||
```
|
||||
|
||||
| Antwort | Anzahl |
|
||||
| ---------------------------- | ------ |
|
||||
| [object Object] | 7 |
|
||||
| Das ist JavaScript... | 1 |
|
||||
| Error: cant add list and set | 26 |
|
||||
^js
|
||||
|
||||
<span style="color:rgb(0, 176, 80)">Richtig: [object Object] & Das ist JavaScript...</span>
|
||||
@@ -0,0 +1,68 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
- [x] Jupyter erklären
|
||||
- [x] assert statement
|
||||
- [x] Ausgabe - Tutorial 1
|
||||
|
||||
- [x] Print
|
||||
- [x] Kommentare
|
||||
- [x] Datentypen
|
||||
- [x] Integer
|
||||
- [x] Float
|
||||
- [x] Bool
|
||||
- [x] Sequentielle Datentypen
|
||||
- [x] Lists
|
||||
- [x] Dictionarys
|
||||
- [x] Tupel
|
||||
- [x] Sets
|
||||
- [x] Strings
|
||||
- [x] Docstrings
|
||||
- [x] Formatstrings
|
||||
- [x] Conditionals
|
||||
- [x] If-Else
|
||||
- [x] and, or, not
|
||||
- [x] isinstance
|
||||
- [x] While Loops
|
||||
- [x] Funktionen
|
||||
|
||||
-> Foo-Bar
|
||||
-> 99 Bottles of Beer
|
||||
https://www.99-bottles-of-beer.net/
|
||||
https://www.youtube.com/watch?v=FITjBet3dio
|
||||
|
||||
```python
|
||||
beer = 99
|
||||
while beer > -1:
|
||||
print()
|
||||
if beer == 0:
|
||||
print('''
|
||||
No more bottles of beer on the wall, no more bottles of beer.
|
||||
We've taken them down and passed them around;
|
||||
now we're drunk and passed out!
|
||||
''')
|
||||
elif beer == 1:
|
||||
print(beer, "bottle of beer on the wall,", beer, "bottle of beer.")
|
||||
print("Take one down and pass it around, no more bottles of beer on the wall.", end='')
|
||||
else:
|
||||
print(beer, "bottles of beer on the wall,", beer, "bottles of beer.")
|
||||
if beer - 1 == 1:
|
||||
print(f"Take one down and pass it around, {beer - 1} bottle of beer on the wall.")
|
||||
else:
|
||||
print(f"Take one down and pass it around, {beer - 1} bottles of beer on the wall.")
|
||||
|
||||
beer -= 1
|
||||
|
||||
```
|
||||
# Gruppen
|
||||
- MeWi 1 (0/5)
|
||||
- MeWi 2 (0/5)
|
||||
- MeWi 3 (0/5)
|
||||
- MeWi 4 (0/5)
|
||||
- MeWi 5 (0/5)
|
||||
- MeWi 6 (0/5)
|
||||
- DiMuK (0/5)
|
||||
- Ing (0/5)
|
||||
@@ -0,0 +1,31 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
- [ ] Lösungen Tutorial 1
|
||||
- [ ] Ausgabe - Tutorial 2
|
||||
|
||||
- [ ] For loops - Container Loops
|
||||
- [ ] Zähl loops
|
||||
- [ ] Unterschied zu anderen Programmiersprachen
|
||||
- [ ] range
|
||||
- [ ] len
|
||||
- [ ] _
|
||||
- [ ] über liste loopen
|
||||
- [ ] Dictionarys
|
||||
- [ ] .items
|
||||
- [ ] .values
|
||||
- [ ] .keys
|
||||
- [ ] List Comprehension
|
||||
- [ ] Vergleich mit Mengenlehre
|
||||
- [ ] Dictionary Comprehension
|
||||
- [ ] System Interactionen
|
||||
- [ ] input
|
||||
- [ ] open
|
||||
- [ ] with Context
|
||||
- [ ] Import
|
||||
- [ ] std
|
||||
- [ ] as
|
||||
- [ ] from
|
||||
@@ -0,0 +1,12 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
- [ ] Lösungen Tutorial 2
|
||||
- [ ] Ausgabe - Extended Applications
|
||||
|
||||
- [ ] Deep Dive Funktionen
|
||||
- [ ] Dataclasses -> Warum wir sonst kein OOP machen
|
||||
- [ ] Built In Module
|
||||
@@ -0,0 +1,14 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
- [ ] Lösungen Extened Applications
|
||||
- [ ] Ausgabe - MatPlotLib, NumPy
|
||||
|
||||
- [ ] Arrays Allgemein -> Warum ist der erste Index 0
|
||||
- [ ] Warum NumPy
|
||||
- [ ] Random Numbers
|
||||
- [ ] Verschiedene Plots und ihre Wirkung
|
||||
- [ ] Sorting Allgemein
|
||||
@@ -0,0 +1,355 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
- [ ] Lösungen MatPlotLib, NumPy
|
||||
- [ ] Ausgabe - SciPy
|
||||
|
||||
- [ ] Bernoulli Distributions
|
||||
- [ ] Binomial Distributions
|
||||
- [ ] Normal Distributions
|
||||
- [ ] Regression
|
||||
|
||||
## Aufgabe - Erster eigener Plot Square Root
|
||||
|
||||
Analog zu voheriger Erklärung plotten Sie im folgenden die Funktion Square Root, Mathematisch definiert als $f(x) = \sqrt x; \quad x \geq 0$.
|
||||
|
||||
Gehen Sie dabei wie folgt vor:
|
||||
|
||||
1. Definieren Sie einen **geeigneten** [Linespace](https://numpy.org/doc/stable/reference/generated/numpy.linspace.html#numpy-linspace) für die Zahlenraum 0...100. (Tipp: Achten Sie auf die Definition! Die Wurzel ist nur für positive Zahlen definiert.)
|
||||
2. Berechnen Sie mittels der Funktion [np.sqrt](https://numpy.org/doc/stable/reference/generated/numpy.sqrt.html#numpy.sqrt) die Werte für die Wurzel.
|
||||
3. Plotten Sie das Ergebnis
|
||||
|
||||
```python
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
# geeigneter Linespace für den Zahlenraum 0 bis 100
|
||||
x = np.linspace (0, 100, 500) # 500 Punkte für eine glatte Darstellung
|
||||
|
||||
# Berechnen der Wurzelfunktion
|
||||
y = np.sqrt(x)
|
||||
|
||||
# plotten der Ergebnisse
|
||||
plt.plot(x, y, label="f(x)= √x")
|
||||
plt.title("Plot der Wurzelfunktion")
|
||||
plt.xlabel("x")
|
||||
plt.ylabel("f(x)")
|
||||
plt.grid(True)
|
||||
plt.legend()
|
||||
plt.show()
|
||||
```
|
||||
Alea Schleier
|
||||
|
||||
|
||||
## Aufgabe[¶](https://jupyter2.ifn.ing.tu-bs.de:8000/user/instructor-einfhrung-in-die-prog/formgrader/submissions/14fa26f422cf4db2a97309e97b0bfdbd/?index=16#Aufgabe)
|
||||
|
||||
_6 Punkte_
|
||||
|
||||
Plote die Zufallszahlen eines _Permuted Congruent Generators_ mittels NumPy & MatPlotLib.
|
||||
|
||||
- Gegeben ist der Anfangszustand des Generators.
|
||||
- Nutze die Dokumentation und rufe den `default_rng` aus dem `numpy.random` Modul, **20** mal auf speichere die Werte in der variablen `pcgs`. _(Tipp: Nutze ein NumPy Array)_
|
||||
- Sortiere im nächsten Schritt die in `pcgs` gespeicherten Werte und speichere diese in `pcgs_sorted`
|
||||
- Plotte sinnvoll beide Array. Gestalte den Plot angemessen.
|
||||
|
||||
```python
|
||||
import numpy as np # Import NumPy
|
||||
import matplotlib.pyplot as plt # Import Matplotlib for plotting
|
||||
|
||||
# 1. Setting the random seed
|
||||
np.random.seed(42)
|
||||
|
||||
# 2. Generate 20 random numbers using the default_rng generator
|
||||
rng = np.random.default_rng() # Initialize the default random number generator
|
||||
pcgs = rng.random(20) # Generate 20 random numbers
|
||||
|
||||
# 3. Sort the generated numbers and store them in pcgs_sorted
|
||||
pcgs_sorted = np.sort(pcgs) # Sort the numbers
|
||||
|
||||
# 4. Print the generated arrays for verification
|
||||
print("PCGs:", pcgs)
|
||||
print("Sorted PCGs:", pcgs_sorted)
|
||||
|
||||
# 5. Plot both arrays
|
||||
plt.figure(figsize=(8, 6))
|
||||
plt.plot(pcgs, label='PCGs (Unsorted)', linestyle='dashed', marker='o')
|
||||
plt.plot(pcgs_sorted, label='PCGs (Sorted)', linestyle='solid', marker='x')
|
||||
plt.title('Permuted Congruent Generator: Unsorted vs Sorted')
|
||||
plt.xlabel('Index')
|
||||
plt.ylabel('Value')
|
||||
plt.legend()
|
||||
plt.grid(True)
|
||||
plt.show()
|
||||
```
|
||||
Abdalaziz Abunjaila
|
||||
|
||||
```python
|
||||
np.random.seed(42) # Setting a fixed start Value for the Generator
|
||||
pcgs: np.array = None
|
||||
pcgs_sorted: np.array = None
|
||||
|
||||
#mycode
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
rng = np.random.default_rng(seed=42)
|
||||
|
||||
pcgs = np.array([rng.random() for _ in range(20)])
|
||||
|
||||
pcgs_sorted = np.sort(pcgs)
|
||||
|
||||
plt.figure(figsize=(10, 5))
|
||||
|
||||
plt.plot(pcgs, label="PCG Zufallszahlen", color='blue', marker='o', linestyle='--')
|
||||
|
||||
plt.plot(pcgs_sorted, label="Sortierte PCG Zufallszahlen", color='green', marker='x', linestyle='-')
|
||||
|
||||
plt.title("PCG Zufallszahlen und sortierte PCG Zufallszahlen")
|
||||
plt.xlabel("Index")
|
||||
plt.ylabel("Wert")
|
||||
plt.legend()
|
||||
|
||||
plt.show()
|
||||
```
|
||||
Donika Nuhiu
|
||||
|
||||
```python
|
||||
np.random.seed(42) # Setting a fixed start Value for the Generator
|
||||
pcgs: np.array = None
|
||||
pcgs_sorted: np.array = None
|
||||
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
# Erstellen des Zufallsgenerators und Generation von 20 Zufallszahlen
|
||||
rng = np.random.default_rng() # Initialisiere den Permuted Congruent Generator
|
||||
pcgs = rng.random(20) # 20 Zufallszahlen erzeugen und in ein NumPy Array speichern
|
||||
|
||||
# Sortieren der Zufallszahlen
|
||||
pcgs_sorted = np.sort(pcgs)
|
||||
|
||||
# Plotten der Ergebnisse
|
||||
plt.figure(figsize=(10, 6))
|
||||
|
||||
# Original Zufallszahlen
|
||||
plt.plot(pcgs, marker='o', linestyle='-', color='blue', label='Original-Zufallszahlen')
|
||||
|
||||
# Sortierte Zufallszahlen
|
||||
plt.plot(pcgs_sorted, marker='x', linestyle='--', color='red', label='Sortierte Zufallszahlen')
|
||||
|
||||
# Gestalte den Plot
|
||||
plt.title("Vergleich: Original- und sortierte Zufallszahlen")
|
||||
plt.xlabel("Index")
|
||||
plt.ylabel("Zufallswert")
|
||||
plt.grid(True)
|
||||
plt.legend()
|
||||
|
||||
plt.show()
|
||||
```
|
||||
Alea Schleier
|
||||
|
||||
```python
|
||||
np.random.seed(42) # Setting a fixed start Value for the Generator
|
||||
pcgs: np.array = None
|
||||
pcgs_sorted: np.array = None
|
||||
|
||||
# YOUR CODE HERE
|
||||
rng = np.random.default_rng(42)
|
||||
pcgs = rng.random(20)
|
||||
pcgs_sorted = np.sort(pcgs)
|
||||
|
||||
x = np.linspace(0, 20, num=20)
|
||||
|
||||
plt.plot(x, pcgs, color='c', label='Zufallszahlen')
|
||||
plt.plot(x, pcgs_sorted, color='b', label='Zufallszahlen (sortiert)')
|
||||
|
||||
plt.title('Zufallszahlen eines PCG')
|
||||
plt.xlabel('Index')
|
||||
plt.ylabel('Wert')
|
||||
|
||||
plt.xlim(0, 20)
|
||||
plt.ylim(0, 1.25)
|
||||
plt.xticks(np.arange(0, 20, step=3))
|
||||
plt.yticks(np.arange(0, 1.25, step=0.2))
|
||||
|
||||
mean_value = np.mean(pcgs)
|
||||
plt.axhline(y=mean_value, color='r', linestyle="dashed", label=f'Durchschnitt: {mean_value:.2f}')
|
||||
|
||||
plt.legend()
|
||||
plt.show()
|
||||
```
|
||||
Nova Eib
|
||||
|
||||
```python
|
||||
np.random.seed(42) # Setting a fixed start Value for the Generator
|
||||
pcgs: np.array = None
|
||||
pcgs_sorted: np.array = None
|
||||
|
||||
# YOUR CODE HERE
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
rng = np.random.default_rng(seed=42)
|
||||
|
||||
pcgs = rng.random(20)
|
||||
|
||||
pcgs_sorted = np.sort(pcgs)
|
||||
|
||||
plt.figure(figsize=(10, 6))
|
||||
|
||||
plt.plot(pcgs, 'o-', label='Unsortiert')
|
||||
|
||||
plt.plot(pcgs_sorted, 's-', label='Sortiert')
|
||||
|
||||
plt.title('Zufallszahlen eines Permuted Congruent Generators')
|
||||
plt.xlabel('Index')
|
||||
plt.ylabel('Wert')
|
||||
plt.grid(True)
|
||||
plt.legend()
|
||||
|
||||
plt.show()
|
||||
```
|
||||
Izabel Mike
|
||||
|
||||
### Aufgabe[¶](https://jupyter2.ifn.ing.tu-bs.de:8000/user/instructor-einfhrung-in-die-prog/formgrader/submissions/f483499addec4dd8886a0ee278677732/?index=21#Aufgabe)
|
||||
|
||||
_5 Punkte_
|
||||
|
||||
Ihnen ist ein Datenset `sec_school` einer Hauptschule gegeben, welches die Klassenstufen von 5 bis 9 auf die Anzahl ihrer Schüler im Jahrgang mappt.
|
||||
|
||||
Definieren Sie einen Barplot. Gehen Sie dabei wie folgt vor:
|
||||
|
||||
1. Definieren Sie ein geeignetes Farbschema zur Darstellung der Daten.
|
||||
2. Extrahieren Sie die Schlüssel und Werte aus dem Datenset und übergeben Sie diese zusammen mit den Farbwerten an die Funktion `plt.bar`.
|
||||
3. Setzen Sie geeignete Werte für die X & Y-Achse.
|
||||
4. Setzen Sie einen geeigneten Titel für den Plot.
|
||||
5. Plotten Sie den Werte
|
||||
|
||||
```python
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
sec_school = {
|
||||
'5. Klasse': 29,
|
||||
'6. Klasse': 35,
|
||||
'7. Klasse': 25,
|
||||
'8. Klasse': 28,
|
||||
'9. Klasse': 31
|
||||
}
|
||||
|
||||
bar_colors = ["purple", "blue", "green", "orange", "red"]
|
||||
|
||||
plt.bar(sec_school.keys(), sec_school.values(), color=bar_colors)
|
||||
|
||||
plt.xlabel("Klassenstufen")
|
||||
plt.ylabel("Anzahl Schüler")
|
||||
plt.title("Anzahl der Schüler pro Klassenstufe in der Hauptschule")
|
||||
|
||||
plt.show()
|
||||
```
|
||||
Donika Nuhiu
|
||||
|
||||
```python
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
sec_school = {
|
||||
'5. Klasse': 29,
|
||||
'6. Klasse': 35,
|
||||
'7. Klasse': 25,
|
||||
'8. Klasse': 28,
|
||||
'9. Klasse': 31
|
||||
}
|
||||
|
||||
colors = ['blue', 'green', 'orange', 'purple', 'red']
|
||||
|
||||
grades = list(sec_school.keys()) # Klassenstufen
|
||||
students= list(sec_school.values()) # Schüleranzahl
|
||||
|
||||
plt.bar (grades, students, color=colors)
|
||||
|
||||
plt.xlabel("Klassenstufen")
|
||||
plt.ylabel("Anzahl der Schüler")
|
||||
|
||||
plt.title("Schüleranzahl pro Klassenstufe in der Hauptschule")
|
||||
|
||||
plt.grid(axis='y', linestyle='--', alpha=0.7) # Gitterlinie zur besseren Lesbarkeit
|
||||
plt.show()
|
||||
```
|
||||
Alea Schleier
|
||||
|
||||
```python
|
||||
bar_colors = ["red", "orangered", "darkorange", "orange", "gold"]
|
||||
|
||||
plt.bar(sec_school.keys(), sec_school.values(), color=bar_colors)
|
||||
|
||||
plt.title("Klassenverteilung (Hauptschule)")
|
||||
plt.ylabel("Anzahl Kinder")
|
||||
plt.xlabel("Klassenstufen")
|
||||
|
||||
# Ich finde die Werte der x- und y-Achse schon passend, also mach mich wenn dann für meine Fehleinschätzung und nicht für meinen Analphabetismus fertig, ich habe den Punkt gelesen, danke
|
||||
|
||||
mean_value = np.mean(list(sec_school.values()))
|
||||
plt.axhline(y=mean_value, color='blue', linestyle="dashed", label=f'Durchschnitt: {mean_value:.2f}')
|
||||
|
||||
plt.legend()
|
||||
plt.show()
|
||||
```
|
||||
Nova Eib
|
||||
## Aufgabe[¶](https://jupyter2.ifn.ing.tu-bs.de:8000/user/instructor-einfhrung-in-die-prog/formgrader/submissions/a02d96d8a5c8452b91ac790b5fb5ce9b/?index=24#Aufgabe)
|
||||
|
||||
_5 Punkte_
|
||||
|
||||
Ihnen ist ein Datenset `sec_school` einer Hauptschule gegeben, welches die Klassenstufen von 5 bis 9 auf die Anzahl ihrer Schüler im Jahrgang mappt.
|
||||
|
||||
Definieren Sie einen Pieplot. Gehen Sie dabei wie folgt vor:
|
||||
|
||||
1. Definieren Sie ein geeignetes Farbschema zur Darstellung der Daten.
|
||||
2. Extrahieren Sie die Schlüssel und Werte aus dem Datenset und übergeben Sie diese zusammen mit den Farbwerten an die Funktion `plt.pie`. (Nutzen Sie zum Anzeigen der Prozentwerte)
|
||||
3. Lassen Sie die 6. Klasse 25% und die 9. Klasse 40% explodieren.
|
||||
4. Setzen Sie einen geeigneten Titel für den Plot.
|
||||
5. Plotten Sie den Werte.
|
||||
|
||||
```python
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
#geeignetes Farbschema definieren, Kontrastreiche Farben zur einfachen Unterscheidung
|
||||
colors = ['#ff6f61', '#6b5b95', '#88b04b', '#f7cac9', '#92a8d1']
|
||||
|
||||
#extrahieren der Werte und Schlüssel
|
||||
keys = list (sec_school.keys())
|
||||
values = list (sec_school.values())
|
||||
|
||||
#explodieren der 6. und 9. Klassenstufe
|
||||
explode = [0, 0.25, 0, 0, 0.4]
|
||||
|
||||
plt.pie(values, labels = keys, colors = colors, autopct = '%1.1f%%', startangle = 90, explode = explode)
|
||||
plt.title ('Verteilung der Schüler*innen auf die unterschiedlichen Klassenstufen')
|
||||
plt.axis ('equal')
|
||||
|
||||
plt.show()
|
||||
```
|
||||
Lara Troschke
|
||||
|
||||
```python
|
||||
pie_colors = ["red", "orangered", "darkorange", "orange", "gold"]
|
||||
|
||||
plt.pie(sec_school.values(), labels=sec_school.keys(), autopct='%1.1f%%', explode=[0, 0.25, 0, 0, 0.4], colors=pie_colors)
|
||||
|
||||
plt.title("Klassenverteilung (Hauptschule)")
|
||||
|
||||
plt.show()
|
||||
```
|
||||
Nova Eib
|
||||
|
||||
```python
|
||||
pie_colors = ["lightpink", "darkseagreen", "mistyrose", "cadetblue", "rosybrown"]
|
||||
|
||||
plt.pie(sec_school.values(), labels=sec_school.keys(), autopct='%1.1f%%', explode=[0, 0.25, 0, 0, 0.4], colors=pie_colors)
|
||||
|
||||
plt.title("Klassenverteilung einer Hauptschule")
|
||||
|
||||
plt.show()
|
||||
```
|
||||
Julia Limbach
|
||||
@@ -0,0 +1,11 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
- [ ] Lösungen SciPy
|
||||
- [ ] Ausgabe - Simulation
|
||||
|
||||
- [ ] Monte Carlo Theorie
|
||||
- [ ] Average Human Height erklären -> Warum Simulieren
|
||||
@@ -0,0 +1,12 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
- [ ] Lösungen Simulation
|
||||
- [ ] Ausgabe - Pandas, Seaborn
|
||||
|
||||
- [ ] Dataframes -> Warum
|
||||
- [ ] Operationen auf Dataframes
|
||||
- [ ] Seaborn -> Plots erklären
|
||||
@@ -0,0 +1,12 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
- [ ] Lösungen Pandas, Seaborn
|
||||
- [ ] Ausgabe - Folium
|
||||
- [ ] Weihnachten -> Kleinigkeit mitbringen
|
||||
|
||||
- [ ] Warum Folium
|
||||
- [ ] HTML überblick
|
||||
@@ -0,0 +1,35 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
|
||||
2023
|
||||
unbereinigt 18%
|
||||
bereinigt 6%
|
||||
Gender Gap Arbeitsmarkt 39%
|
||||
|
||||
**Unbereinigter** Gender Pay Gap
|
||||
|
||||
Der unbereinigte Gender Pay Gap wird als Differenz zwischen den durchschnittlichen Bruttostundenverdiensten von Frauen und Männern in Prozent des durchschnittlichen Bruttostundenverdiensts männlicher Beschäftigter definiert:
|
||||
|
||||
((Durchschnittlicher Bruttostundenverdienst der Männer – durchschnittlicher Bruttostundenverdienst der Frauen) / durchschnittlicher Bruttostundenverdienst der Männer) * 100.
|
||||
|
||||
$$\frac{\varnothing\text{Bruttostundenverdienst der Männer} - \varnothing\text{Bruttostundenverdienst der Frauen}}{\varnothing\text{Bruttostundenverdienst der Männer}}\cdot 100$$
|
||||
|
||||
Zu berücksichtigen ist, dass es sich hierbei um die Lohnlücke ohne Anpassungen handelt. Enthalten ist hier auch der Verdienstunterschied, der beispielsweise auf die Ausübung unterschiedlich bezahlter Berufe, unterschiedliche Karrierelevel oder Qualifikationen von Frauen und Männern zurückzuführen ist.
|
||||
|
||||
**Bereinigter** Gender Pay Gap
|
||||
|
||||
Der bereinigte Gender Pay Gap wurde für das Berichtsjahr 2018 letztmalig auf Basis der vierjährlichen Verdienststrukturerhebung berechnet. Hier wird jener Teil des Verdienstunterschieds herausgerechnet, der auf strukturelle Unterschiede zwischen den Geschlechtern zurückzuführen ist, wie Unterschiede im Hinblick auf Beruf, Branche, Beschäftigungsumfang, Qualifikation oder Karrierelevel.
|
||||
|
||||
Zu berücksichtigen ist hier, dass nicht über alle lohnrelevanten Einflussfaktoren Informationen zur Verfügung stehen. Beispielsweise fehlen Angaben zu Erwerbsunterbrechungen (zum Beispiel durch Elternzeit), mit denen der bereinigte Gender Pay Gap geringer ausgefallen wäre. Daher darf der Wert nicht mit Verdienstdiskriminierung gleichgesetzt werden, sondern gilt eher als "Obergrenze" für Verdienstdiskriminierung. Der bereinigte Gender Pay Gap wird seit 2006 alle vier Jahre für Deutschland, das frühere Bundesgebiet und die neuen Länder berechnet. Seit dem Jahr 2014 liegen zudem Ergebnisse zum bereinigten Gender Pay Gap nach Bundesländern sowie für alle Mitgliedstaaten der Europäischen Union (EU) vor.
|
||||
|
||||
https://www.destatis.de/DE/Themen/Arbeit/Verdienste/Verdienste-GenderPayGap/FAQ/gender-pay-gap-faq.html
|
||||
|
||||
https://www.emma.de/artikel/der-mindestlohn-ist-ein-frauenlohn-316683
|
||||
|
||||
https://www.factory-magazin.de/news/gender-pay-gap-frauen-verdienen-20-prozent-weniger
|
||||
|
||||
https://www.youtube.com/watch?v=zB_OApdxcno&t=741s
|
||||
@@ -0,0 +1,10 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
- [ ] Lösungen Data Analysis
|
||||
- [ ] Ausgabe - Projekte
|
||||
- [ ] Projekte Festlegen
|
||||
- [ ] Prüfungsparameter erklären
|
||||
@@ -0,0 +1,6 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
@@ -0,0 +1,6 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
@@ -0,0 +1,6 @@
|
||||
---
|
||||
parent: "[[Lecture]]"
|
||||
tags:
|
||||
- Lecture
|
||||
---
|
||||
# Content
|
||||
@@ -0,0 +1,8 @@
|
||||
---
|
||||
parent:
|
||||
tags:
|
||||
- exam
|
||||
---
|
||||
# Content
|
||||
- Janna Heiny
|
||||
- ing
|
||||
@@ -0,0 +1,11 @@
|
||||
---
|
||||
parent:
|
||||
tags:
|
||||
- exam
|
||||
---
|
||||
# Content
|
||||
|
||||
- Milena Krieger
|
||||
- Skofiare Berisha
|
||||
- meWi2
|
||||
- Dikum
|
||||
@@ -0,0 +1,11 @@
|
||||
---
|
||||
parent:
|
||||
tags:
|
||||
- exam
|
||||
---
|
||||
# Content
|
||||
|
||||
- Milena Krieger
|
||||
- Skofiare Berisha
|
||||
- meWi2
|
||||
- Dikum
|
||||
@@ -0,0 +1,7 @@
|
||||
|
||||
- Milena Krieger
|
||||
- Janna Heiny
|
||||
Technologie-orientiertes Management
|
||||
Prüfungsamt: Wirtschaftsinformatik/ToM
|
||||
Ansprechpartner: Sonja Graichen bzw. Marie Grünewald
|
||||
[pa-wi@tu-braunschweig.de](mailto:pa-wi@tu-braunschweig.de)
|
||||
27
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Projekte.md
Normal file
27
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Projekte.md
Normal file
@@ -0,0 +1,27 @@
|
||||
# Vortrag
|
||||
- 25 min, **jedes** Gruppenmitglied muss einen Redeanteil haben
|
||||
- Folien mitbringen + Präsentationsrechner
|
||||
- Folien bis Sonntag den 16.02.2025 als pdf in StudIP hochladen (Bennenung: _gruppenname_.pdf)
|
||||
- Falls notwendig (für MeWi nicht) Bestätigungszettel mitbringen
|
||||
|
||||
# Aufgaben
|
||||
- Annahmen genau aufschlüsseln
|
||||
- Hypothesen genau beschreiben
|
||||
- Ergebnisse immer interpretieren & kontextuell Einordnen
|
||||
- Visualisierungen nutzen und zeigen
|
||||
- Nicht den ganzen Code zeigen und Zeile für Zeile durchgehen, die relevanten Stellen im Code herausfiltern und in den Kontext der Analyse setzen
|
||||
|
||||
# Termine
|
||||
|
||||
Jeden Freitag 15-16.30 bis zu den Prüfungstermin ist es im SN22.2 möglich auf Hilfestellung für die Aufgaben zurückzugreifen und dort sich als Gruppe zu treffen.
|
||||
|
||||
Die Reihenfolge der Vorträge wird am Vortragstag bekannt gegeben.
|
||||
## 17.02.2025 10-12h
|
||||
- [ ] MeWi 1 - Covid-19
|
||||
- [ ] MeWi 3 - Discovery of Handwashing
|
||||
- [x] MeWi 5 - Extramarital Affairs
|
||||
- [ ] DiKum - Facebook Data
|
||||
## 18.02.2025 10-12h
|
||||
- [ ] MeWi 2 - Covid-19
|
||||
- [ ] MeWi 4 - Uber Trips
|
||||
- [ ] MeWi 6 - Hochschulstatistik
|
||||
11
Documents/Arbeit/IFN/Programmieren WiSe 24 25/README.md
Normal file
11
Documents/Arbeit/IFN/Programmieren WiSe 24 25/README.md
Normal file
@@ -0,0 +1,11 @@
|
||||
Obsidian Notebook for tracking Student Progress in the course "Einführung in die Programmierung für Nichtinformatiker\*innen"
|
||||
|
||||
### Topics
|
||||
- [[Timetable|Timetable for WiSe 23/34]]
|
||||
- [[Evaluation WiSe 24 25|Evaluation]]
|
||||
- [[Evaluation WiSe 23 24 |Last Year Evaluation]]
|
||||
|
||||
|
||||
[https://jupyter2.ifn.ing.tu-bs.de:8000/hub/login?next=%2Fhub%2F](https://jupyter2.ifn.ing.tu-bs.de:8000/hub/login?next=%2Fhub%2F)
|
||||
ID: instructor-einfhrung-in-die-prog
|
||||
PW: kzrTySnkB38nRyJGsc7iiBFf
|
||||
@@ -0,0 +1,3 @@
|
||||
| Student | Number |
|
||||
| ---------- | -------------------------------- |
|
||||
| Phil Keier | 772fb04b24caa68fd38a05ec2a22e62b |
|
||||
25
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Timetable.md
Normal file
25
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Timetable.md
Normal file
@@ -0,0 +1,25 @@
|
||||
**Every Friday from 15-16.30h**
|
||||
|
||||
| Date | Subject (6 CP) <span style="color:rgb(255, 0, 0)">(3 CP)</span> |
|
||||
| ----------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| [[01 18.10.2024]] | Organization |
|
||||
| [[02 25.10.2024]] | Tutorial 1 - Printing, Datentypen & Variablen, Sequentielle Datentypen, Funktionen, If-Else Conditions, While-Loops |
|
||||
| [[03 01.11.2024]] | Tutorial 2 - For Loops, Dictionarys, Error Handling, System Interactions, Import Statements |
|
||||
| [[04 08.11.2024]] | <span style="color:rgb(255, 0, 0)">Extended applications - Funktionen, Dataclasses, Built-In Modules</span> |
|
||||
| [[05 15.11.2024]] | Matplotlib - Plotting Functions, Styling, Bar Plots, Pie Plots<br>Numpy - Arrays, Space Reservation, Sorting, Random Numbers |
|
||||
| [[06 22.11.2024]] | SciPy - Bernoulli Distribution, Binomial Distribution, Normal Distribution |
|
||||
| [[07 29.11.2024]] | <span style="color:rgb(255, 0, 0)">Simulation - Monte Carlo, Normal Distributions</span> |
|
||||
| [[08 06.12.2024]] | Pandas - Dataframes, Series, Zugriff Operationen, Statistische Funktionen<br><span style="color:rgb(255, 0, 0)">Seaborn - Distribution Plots, Errorbars, Multiplots, Annotated Heatmaps</span> |
|
||||
| [[09 13.12.2024]] | <span style="color:rgb(255, 0, 0)">Folium - Maps, Marker, (HTML) Popups, Tooltips</span> |
|
||||
| 20.12.2024 | Canceled |
|
||||
| 27.12.2024 | Canceled |
|
||||
| 03.01.2025 | Canceled |
|
||||
| [[10 10.01.2025]] | Statistical Test Methods - T-Test, Pearson-, Spearman- & Kendalltest |
|
||||
| [[11 17.01.2025]] | <span style="color:rgb(255, 0, 0)">Data Analysis - Analysieren eines Beispieldatensets</span> |
|
||||
| [[12 24.01.2025]] | Projects |
|
||||
| [[13 31.01.2025]] | Self Studie |
|
||||
| [[14 07.02.2025]] | Self Studie |
|
||||
| [[15 14.02.2025]] | Self Studie |
|
||||
| [[16 17.02.2025]] | Exam date |
|
||||
| [[17 18.02.2025]] | Exam date |
|
||||
-> Marked in red: Students with 3 CP can do this exercise voluntarily
|
||||
BIN
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Timetable.pdf
Normal file
BIN
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Timetable.pdf
Normal file
Binary file not shown.
4
Documents/Arbeit/IFN/Programmieren WiSe 24 25/To Do.md
Normal file
4
Documents/Arbeit/IFN/Programmieren WiSe 24 25/To Do.md
Normal file
@@ -0,0 +1,4 @@
|
||||
- [ ] Obsidian publish over https://github.com/oleeskild/Obsidian-digital-garden
|
||||
|
||||
|
||||
|
||||
32
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Umfrage.md
Normal file
32
Documents/Arbeit/IFN/Programmieren WiSe 24 25/Umfrage.md
Normal file
@@ -0,0 +1,32 @@
|
||||
invote.de
|
||||
Mail-Adresse: [p.keier@hbk-bs.de](mailto:p.keier@hbk-bs.de)
|
||||
Erst-Kennwort: conepepa
|
||||
# Studienfragen
|
||||
1. Studiengang
|
||||
- Medienwissenschaften B.A.
|
||||
- Medienwissenschaften M.A.
|
||||
- Physik
|
||||
- Ingenieurwissenschaften
|
||||
- Sonstiges
|
||||
|
||||
2. Semester
|
||||
- 1-2
|
||||
- 3-4
|
||||
- 5-6
|
||||
- 7+
|
||||
|
||||
3. Programmiererfahrung 1-5
|
||||
4. Technikmodul 1-5
|
||||
- Garnicht mein ding
|
||||
- Man sieht mir meine Abneigung an
|
||||
- Komme was wolle
|
||||
- Eigentlich interessant
|
||||
- Hab ich voll bock drauf
|
||||
|
||||
---
|
||||
# Wissensfragen
|
||||
1. Erfinder/-in von Python
|
||||
- Guido van Rossum
|
||||
|
||||
---
|
||||
# Ratefragen
|
||||
Binary file not shown.
BIN
Documents/Arbeit/IFN/Programmieren WiSe 25 26/Assets/qpd.png
Normal file
BIN
Documents/Arbeit/IFN/Programmieren WiSe 25 26/Assets/qpd.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 770 KiB |
@@ -18,9 +18,12 @@ uuid: "1764954862446"
|
||||
>
|
||||
>Termin:
|
||||
|
||||
| Student | Points |
|
||||
| ----------- | ------ |
|
||||
| Congyu Ding | |
|
||||
| Kenji Sato | |
|
||||
| Student | Points |
|
||||
| ---------------- | ------ |
|
||||
| Congyu Ding | |
|
||||
| Annelie Hartkopp | |
|
||||
| Helen Looney | |
|
||||
| Adrian Reis | |
|
||||
| Kenji Sato | |
|
||||
|
||||
---
|
||||
|
||||
@@ -18,8 +18,11 @@ uuid:
|
||||
>
|
||||
>Termin:
|
||||
|
||||
| Student | Points |
|
||||
| ------- | ------ |
|
||||
| | |
|
||||
| Student | Points |
|
||||
| ------------- | ------ |
|
||||
| Linda Plöger | |
|
||||
| Fiona Schmitz | |
|
||||
| Jetter Siever | |
|
||||
| Denis Weber | |
|
||||
|
||||
---
|
||||
|
||||
@@ -18,8 +18,10 @@ uuid:
|
||||
>
|
||||
>Termin:
|
||||
|
||||
| Student | Points |
|
||||
| ------- | ------ |
|
||||
| | |
|
||||
| Student | Points |
|
||||
| ------------ | ------ |
|
||||
| Dania Arshad | |
|
||||
| Nicole Funke | |
|
||||
| Agatha Stark | |
|
||||
|
||||
---
|
||||
|
||||
@@ -18,8 +18,10 @@ uuid:
|
||||
>
|
||||
>Termin:
|
||||
|
||||
| Student | Points |
|
||||
| ------- | ------ |
|
||||
| | |
|
||||
| Student | Points |
|
||||
| --------------- | ------ |
|
||||
| Lillian Fitzner | |
|
||||
| Zoe Giese | |
|
||||
| Jule Hansen | |
|
||||
|
||||
---
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because one or more lines are too long
1233
Documents/Arbeit/IFN/Programmieren WiSe 25 26/Jupyter/5.SciPy.ipynb
Normal file
1233
Documents/Arbeit/IFN/Programmieren WiSe 25 26/Jupyter/5.SciPy.ipynb
Normal file
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
181
Documents/Arbeit/IFN/Programmieren WiSe 25 26/Jupyter/Bees.csv
Normal file
181
Documents/Arbeit/IFN/Programmieren WiSe 25 26/Jupyter/Bees.csv
Normal file
@@ -0,0 +1,181 @@
|
||||
species,length,parasites
|
||||
Fuchsrote Lockensandbiene,13.3,1.0
|
||||
Fuchsrote Lockensandbiene,12.0,2.0
|
||||
Fuchsrote Lockensandbiene,13.8,2.0
|
||||
Fuchsrote Lockensandbiene,13.9,1.0
|
||||
Fuchsrote Lockensandbiene,11.0,0.0
|
||||
Fuchsrote Lockensandbiene,11.7,2.0
|
||||
Fuchsrote Lockensandbiene,13.1,1.0
|
||||
Fuchsrote Lockensandbiene,12.7,3.0
|
||||
Fuchsrote Lockensandbiene,13.0,1.0
|
||||
Fuchsrote Lockensandbiene,12.1,0.0
|
||||
Fuchsrote Lockensandbiene,13.9,2.0
|
||||
Fuchsrote Lockensandbiene,13.8,0.0
|
||||
Fuchsrote Lockensandbiene,13.1,1.0
|
||||
Fuchsrote Lockensandbiene,14.1,2.0
|
||||
Fuchsrote Lockensandbiene,13.5,3.0
|
||||
Fuchsrote Lockensandbiene,12.1,1.0
|
||||
Fuchsrote Lockensandbiene,13.4,1.0
|
||||
Fuchsrote Lockensandbiene,12.0,2.0
|
||||
Fuchsrote Lockensandbiene,13.9,3.0
|
||||
Fuchsrote Lockensandbiene,13.0,2.0
|
||||
Fuchsrote Lockensandbiene,12.8,0.0
|
||||
Fuchsrote Lockensandbiene,12.3,0.0
|
||||
Fuchsrote Lockensandbiene,14.2,1.0
|
||||
Fuchsrote Lockensandbiene,12.8,0.0
|
||||
Fuchsrote Lockensandbiene,12.6,2.0
|
||||
Fuchsrote Lockensandbiene,12.6,0.0
|
||||
Fuchsrote Lockensandbiene,13.5,2.0
|
||||
Fuchsrote Lockensandbiene,13.4,2.0
|
||||
Fuchsrote Lockensandbiene,13.4,2.0
|
||||
Fuchsrote Lockensandbiene,13.4,1.0
|
||||
Fuchsrote Lockensandbiene,15.1,2.0
|
||||
Fuchsrote Lockensandbiene,12.6,2.0
|
||||
Fuchsrote Lockensandbiene,12.5,2.0
|
||||
Fuchsrote Lockensandbiene,12.2,0.0
|
||||
Fuchsrote Lockensandbiene,13.6,0.0
|
||||
Fuchsrote Lockensandbiene,14.1,3.0
|
||||
Fuchsrote Lockensandbiene,12.9,1.0
|
||||
Fuchsrote Lockensandbiene,12.2,1.0
|
||||
Fuchsrote Lockensandbiene,12.2,1.0
|
||||
Fuchsrote Lockensandbiene,13.7,2.0
|
||||
Fuchsrote Lockensandbiene,13.7,3.0
|
||||
Fuchsrote Lockensandbiene,13.5,1.0
|
||||
Fuchsrote Lockensandbiene,12.3,3.0
|
||||
Fuchsrote Lockensandbiene,13.2,0.0
|
||||
Fuchsrote Lockensandbiene,13.1,2.0
|
||||
Fuchsrote Lockensandbiene,13.2,2.0
|
||||
Fuchsrote Lockensandbiene,13.9,0.0
|
||||
Fuchsrote Lockensandbiene,13.2,0.0
|
||||
Fuchsrote Lockensandbiene,13.7,1.0
|
||||
Fuchsrote Lockensandbiene,13.1,3.0
|
||||
Fuchsrote Lockensandbiene,13.3,2.0
|
||||
Fuchsrote Lockensandbiene,13.6,3.0
|
||||
Fuchsrote Lockensandbiene,11.5,2.0
|
||||
Fuchsrote Lockensandbiene,12.7,1.0
|
||||
Fuchsrote Lockensandbiene,12.5,2.0
|
||||
Fuchsrote Lockensandbiene,12.4,0.0
|
||||
Fuchsrote Lockensandbiene,12.7,0.0
|
||||
Fuchsrote Lockensandbiene,14.5,2.0
|
||||
Fuchsrote Lockensandbiene,12.1,2.0
|
||||
Fuchsrote Lockensandbiene,14.0,1.0
|
||||
Ackerhummel,7.0,2.0
|
||||
Ackerhummel,11.0,2.0
|
||||
Ackerhummel,12.5,3.0
|
||||
Ackerhummel,13.8,2.0
|
||||
Ackerhummel,14.1,2.0
|
||||
Ackerhummel,14.4,1.0
|
||||
Ackerhummel,11.0,2.0
|
||||
Ackerhummel,10.6,3.0
|
||||
Ackerhummel,14.6,3.0
|
||||
Ackerhummel,11.4,2.0
|
||||
Ackerhummel,8.2,1.0
|
||||
Ackerhummel,8.6,1.0
|
||||
Ackerhummel,9.2,3.0
|
||||
Ackerhummel,13.5,3.0
|
||||
Ackerhummel,12.4,0.0
|
||||
Ackerhummel,14.1,0.0
|
||||
Ackerhummel,10.7,2.0
|
||||
Ackerhummel,12.5,1.0
|
||||
Ackerhummel,13.9,3.0
|
||||
Ackerhummel,11.1,1.0
|
||||
Ackerhummel,13.4,1.0
|
||||
Ackerhummel,10.0,4.0
|
||||
Ackerhummel,10.9,1.0
|
||||
Ackerhummel,10.9,1.0
|
||||
Ackerhummel,8.4,1.0
|
||||
Ackerhummel,13.5,0.0
|
||||
Ackerhummel,10.6,0.0
|
||||
Ackerhummel,12.0,0.0
|
||||
Ackerhummel,13.4,1.0
|
||||
Ackerhummel,13.3,0.0
|
||||
Ackerhummel,14.0,2.0
|
||||
Ackerhummel,11.7,3.0
|
||||
Ackerhummel,10.7,2.0
|
||||
Ackerhummel,11.8,1.0
|
||||
Ackerhummel,6.9,2.0
|
||||
Ackerhummel,7.7,4.0
|
||||
Ackerhummel,8.0,3.0
|
||||
Ackerhummel,9.0,0.0
|
||||
Ackerhummel,13.2,1.0
|
||||
Ackerhummel,9.3,1.0
|
||||
Ackerhummel,10.9,1.0
|
||||
Ackerhummel,15.9,2.0
|
||||
Ackerhummel,10.9,2.0
|
||||
Ackerhummel,14.2,0.0
|
||||
Ackerhummel,9.2,1.0
|
||||
Ackerhummel,11.4,2.0
|
||||
Ackerhummel,9.1,0.0
|
||||
Ackerhummel,11.0,3.0
|
||||
Ackerhummel,14.5,0.0
|
||||
Ackerhummel,6.8,4.0
|
||||
Ackerhummel,13.3,0.0
|
||||
Ackerhummel,12.7,3.0
|
||||
Ackerhummel,10.2,4.0
|
||||
Ackerhummel,7.7,4.0
|
||||
Ackerhummel,12.2,3.0
|
||||
Ackerhummel,10.4,3.0
|
||||
Ackerhummel,12.7,3.0
|
||||
Ackerhummel,12.1,3.0
|
||||
Ackerhummel,16.8,1.0
|
||||
Ackerhummel,11.3,2.0
|
||||
Platterbsen-Mörtelbiene,13.0,1.0
|
||||
Platterbsen-Mörtelbiene,14.2,2.0
|
||||
Platterbsen-Mörtelbiene,14.2,1.0
|
||||
Platterbsen-Mörtelbiene,15.4,1.0
|
||||
Platterbsen-Mörtelbiene,14.8,1.0
|
||||
Platterbsen-Mörtelbiene,14.4,1.0
|
||||
Platterbsen-Mörtelbiene,15.5,0.0
|
||||
Platterbsen-Mörtelbiene,12.8,1.0
|
||||
Platterbsen-Mörtelbiene,13.4,1.0
|
||||
Platterbsen-Mörtelbiene,13.1,0.0
|
||||
Platterbsen-Mörtelbiene,13.6,1.0
|
||||
Platterbsen-Mörtelbiene,12.6,1.0
|
||||
Platterbsen-Mörtelbiene,14.6,1.0
|
||||
Platterbsen-Mörtelbiene,13.8,1.0
|
||||
Platterbsen-Mörtelbiene,12.5,1.0
|
||||
Platterbsen-Mörtelbiene,13.0,1.0
|
||||
Platterbsen-Mörtelbiene,14.3,2.0
|
||||
Platterbsen-Mörtelbiene,14.8,2.0
|
||||
Platterbsen-Mörtelbiene,16.0,1.0
|
||||
Platterbsen-Mörtelbiene,16.9,1.0
|
||||
Platterbsen-Mörtelbiene,14.4,1.0
|
||||
Platterbsen-Mörtelbiene,13.0,2.0
|
||||
Platterbsen-Mörtelbiene,11.9,1.0
|
||||
Platterbsen-Mörtelbiene,14.3,2.0
|
||||
Platterbsen-Mörtelbiene,13.2,1.0
|
||||
Platterbsen-Mörtelbiene,13.6,1.0
|
||||
Platterbsen-Mörtelbiene,13.4,1.0
|
||||
Platterbsen-Mörtelbiene,13.9,1.0
|
||||
Platterbsen-Mörtelbiene,15.1,0.0
|
||||
Platterbsen-Mörtelbiene,14.2,1.0
|
||||
Platterbsen-Mörtelbiene,13.8,2.0
|
||||
Platterbsen-Mörtelbiene,13.0,0.0
|
||||
Platterbsen-Mörtelbiene,12.3,1.0
|
||||
Platterbsen-Mörtelbiene,13.5,0.0
|
||||
Platterbsen-Mörtelbiene,13.9,1.0
|
||||
Platterbsen-Mörtelbiene,15.8,0.0
|
||||
Platterbsen-Mörtelbiene,14.1,2.0
|
||||
Platterbsen-Mörtelbiene,15.0,0.0
|
||||
Platterbsen-Mörtelbiene,13.5,2.0
|
||||
Platterbsen-Mörtelbiene,12.8,2.0
|
||||
Platterbsen-Mörtelbiene,13.0,1.0
|
||||
Platterbsen-Mörtelbiene,13.3,2.0
|
||||
Platterbsen-Mörtelbiene,16.1,2.0
|
||||
Platterbsen-Mörtelbiene,13.2,2.0
|
||||
Platterbsen-Mörtelbiene,14.8,1.0
|
||||
Platterbsen-Mörtelbiene,13.1,1.0
|
||||
Platterbsen-Mörtelbiene,14.9,0.0
|
||||
Platterbsen-Mörtelbiene,14.4,1.0
|
||||
Platterbsen-Mörtelbiene,13.8,0.0
|
||||
Platterbsen-Mörtelbiene,14.0,1.0
|
||||
Platterbsen-Mörtelbiene,13.3,1.0
|
||||
Platterbsen-Mörtelbiene,14.4,1.0
|
||||
Platterbsen-Mörtelbiene,13.5,1.0
|
||||
Platterbsen-Mörtelbiene,12.8,2.0
|
||||
Platterbsen-Mörtelbiene,12.7,2.0
|
||||
Platterbsen-Mörtelbiene,14.2,1.0
|
||||
Platterbsen-Mörtelbiene,15.6,1.0
|
||||
Platterbsen-Mörtelbiene,14.2,2.0
|
||||
Platterbsen-Mörtelbiene,13.9,0.0
|
||||
Platterbsen-Mörtelbiene,14.3,0.0
|
||||
|
Binary file not shown.
|
After Width: | Height: | Size: 59 KiB |
1133
Documents/Arbeit/IFN/Programmieren WiSe 25 26/Jupyter/Show.ipynb
Normal file
1133
Documents/Arbeit/IFN/Programmieren WiSe 25 26/Jupyter/Show.ipynb
Normal file
File diff suppressed because one or more lines are too long
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,46 @@
|
||||
Jahr,Monat,Geschlecht,Nominallohn
|
||||
2024,Oktober,männlich,106.09999999999999
|
||||
2023,September,männlich,100.09999999999999
|
||||
2023,Juli,männlich,104.3
|
||||
2024,September,weiblich,106.8
|
||||
2023,Mai,männlich,106.7
|
||||
2024,Juli,weiblich,108.8
|
||||
2023,März,männlich,103.8
|
||||
2024,Mai,weiblich,110.40000000000001
|
||||
2023,Januar,männlich,99.599999999999994
|
||||
2024,März,weiblich,110.40000000000001
|
||||
2024,Januar,weiblich,104.7
|
||||
2023,Mai,weiblich,103.2
|
||||
2023,Juli,weiblich,103.2
|
||||
2023,Januar,weiblich,99.400000000000006
|
||||
2023,März,weiblich,101.2
|
||||
2023,September,weiblich,101.2
|
||||
2023,November,männlich,131.59999999999999
|
||||
2024,August,männlich,105.8
|
||||
2024,Juni,männlich,112.7
|
||||
2024,April,männlich,116.3
|
||||
2024,Februar,männlich,104.90000000000001
|
||||
2023,November,weiblich,142.59999999999999
|
||||
2023,August,männlich,99.799999999999997
|
||||
2023,Juni,männlich,109.09999999999999
|
||||
2023,April,männlich,108.8
|
||||
2023,Februar,männlich,98.099999999999994
|
||||
2024,August,weiblich,109.59999999999999
|
||||
2024,Juni,weiblich,111.40000000000001
|
||||
2024,April,weiblich,111.8
|
||||
2024,Februar,weiblich,105
|
||||
2023,April,weiblich,103.8
|
||||
2023,Juni,weiblich,109.40000000000001
|
||||
2023,Februar,weiblich,98.5
|
||||
2023,August,weiblich,100.5
|
||||
2023,Dezember,männlich,109.2
|
||||
2024,Juli,männlich,110.09999999999999
|
||||
2023,Oktober,weiblich,101.8
|
||||
2024,Mai,männlich,114
|
||||
2023,Oktober,männlich,100.90000000000001
|
||||
2024,März,männlich,110.40000000000001
|
||||
2024,Oktober,weiblich,107.2
|
||||
2024,Januar,männlich,105
|
||||
2023,Dezember,weiblich,108.59999999999999
|
||||
2024,September,männlich,104.8
|
||||
|
||||
|
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,100 @@
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
Python
|
||||
@@ -0,0 +1,41 @@
|
||||
University name,Type of university,Sponsorship,Right of promotion,Founding year,Number of students,Address,lat,lon,plz,pic
|
||||
Hochschule für Bildende Künste Braunschweig,Artistic university,public,yes,1963,976,Johannes-Selenka-Platz 1,52.2577384,10.5023145,38118 Braunschweig,https://www.hbk-bs.de/fileadmin/_processed_/5/1/csm_HBK_Logo_9f3f898a2b.png
|
||||
Technische Universität Carolo-Wilhelmina zu Braunschweig,University,public,yes,1745,17709,Universitätspl. 2,52.27355,10.530097,38106 Braunschweig,https://upload.wikimedia.org/wikipedia/commons/thumb/9/9d/Siegel_TU_Braunschweig_transparent.svg/1200px-Siegel_TU_Braunschweig_transparent.svg.png
|
||||
Hochschule 21,University of Applied Sciences,privat,no,2005,1084,Harburger Str. 6,53.47765,9.70465,21614 Buxtehude,https://upload.wikimedia.org/wikipedia/commons/thumb/b/bd/Hochschule_21_logo.svg/2560px-Hochschule_21_logo.svg.png
|
||||
Technische Universität Clausthal,University,public,yes,1775,3446,Adolph-Roemer-Straße 2A,51.80484,10.33411,38678 Clausthal-Zellerfeld,https://www.presse.tu-clausthal.de/fileadmin/TU_Clausthal/images/CorporateDesign/Logo/Logo_TUC_en_RGB_gross.gif
|
||||
Hochschule Emden/Leer,University of Applied Sciences,public,no,2009,4481,Constantiapl. 4,53.36816,7.18141,26723 Emden,https://sta-hisweb.hs-emden-leer.de/QIS/images//logo_el.jpg
|
||||
PFH – Private Hochschule Göttingen,University of Applied Sciences,privat,no,1995,4226,Weender Landstraße 3-7,51.53891,9.93322,37073 Göttingen,https://goettingen-campus.de/fileadmin/_processed_/d/7/csm_logopfh_20f8eee765.jpg
|
||||
Georg-August-Universität Göttingen,University,public,yes,1737,28614,Wilhelmsplatz 1,51.53407,9.93785,37073 Göttingen,https://upload.wikimedia.org/wikipedia/commons/c/c0/Logo_Uni_G%C3%B6ttingen_2022.png
|
||||
Fachhochschule für die Wirtschaft Hannover,University of Applied Sciences,privat,no,1996,641,Freundallee 15,52.3662,9.77247,30173 Hannover,https://upload.wikimedia.org/wikipedia/commons/5/5c/Fachhochschule_f%C3%BCr_die_Wirtschaft_logo.svg
|
||||
Hochschule Hannover,University of Applied Sciences,public,no,1971,9209,Ricklinger Stadtweg 120,52.35419,9.72238,30459 Hannover,https://upload.wikimedia.org/wikipedia/commons/thumb/0/0e/HsH_Logo.svg/1200px-HsH_Logo.svg.png
|
||||
"Hochschule für Musik, Theater und Medien Hannover",Artistic university,public,yes,1897,1409,Neues Haus 1,52.37738,9.75392,30175 Hannover,https://upload.wikimedia.org/wikipedia/commons/thumb/7/78/HMTM-Logo-2010.svg/1200px-HMTM-Logo-2010.svg.png
|
||||
Leibniz-Fachhochschule,University of Applied Sciences,privat,no,1920,589,Expo Plaza 11,52.32115,9.81868,30539 Hannover,https://www.visit-hannover.com/var/storage/images/_aliases/image_full/media/01-data-neu/bilder/redaktion-hannover.de/portale/initiative-wissenschaft/leibniz-fh/leibniz-fachhochschule-logo/8135360-1-ger-DE/Leibniz-Fachhochschule-Logo.jpg
|
||||
Medizinische Hochschule Hannover (MHH),University,public,yes,1963,3778,Carl-Neuberg-Straße 1,52.38405,9.80603,30625 Hannover,https://upload.wikimedia.org/wikipedia/commons/thumb/3/3d/Medizinische_Hochschule_Hannover_logo.svg/2560px-Medizinische_Hochschule_Hannover_logo.svg.png
|
||||
Stiftung Tierärztliche Hochschule Hannover,University,public,yes,1778,2381,Bünteweg 2,52.35468,9.79773,30559 Hannover,https://upload.wikimedia.org/wikipedia/de/thumb/5/59/Tier%C3%A4rztliche_Hochschule_Hannover_logo.svg/1200px-Tier%C3%A4rztliche_Hochschule_Hannover_logo.svg.png
|
||||
Gottfried Wilhelm Leibniz Universität Hannover,University,public,yes,1831,28935,Welfengarten 1,52.38225,9.71777,30167 Hannover,https://www.uni-hannover.de/fileadmin/_processed_/1/5/csm_luh-logo-3x2_8dea6c08fc.jpg
|
||||
Fachhochschule für Interkulturelle Theologie Hermannsburg,University of Applied Sciences,privat,no,2012,91,Missionsstraße 3-5,52.708843,10.14071,29320 Südheide,https://cdn.max-e5.info/damfiles/logo/fh_hermannsburg/fh_hermannsburg/Kopfgrafik/Logo-FIT--weiss.jpg-b5f510cb468ab8840e0f2e62b703208e.jpg
|
||||
Universität Hildesheim,University,public,yes,1978,8378,Universitätspl. 1,52.13401,9.97469,31141 Hildesheim,https://www.uni-hildesheim.de/media/_processed_/d/8/csm_Bildkombo_Logo_Uni_Hildesheim-1850_8fd99cc21e.jpg
|
||||
HAWK Hochschule für angewandte Wissenschaft und Kunst Hildesheim,University of Applied Sciences,public,no,1971,6495,Hohnsen 4,52.14246,9.95798,31134 Hildesheim,https://upload.wikimedia.org/wikipedia/commons/0/02/HAWK-Logo.jpg
|
||||
HAWK Hochschule für angewandte Wissenschaft und Kunst Holzminden,University of Applied Sciences,public,no,1971,6495,Haarmannpl. 3,51.82726,9.45069,37603 Holzminden,https://upload.wikimedia.org/wikipedia/commons/0/02/HAWK-Logo.jpg
|
||||
HAWK Hochschule für angewandte Wissenschaft und Kunst Göttingen,University of Applied Sciences,public,no,1971,6495,Von-Ossietzky-Straße 99,51.52175,9.96967,37085 Göttingen,https://upload.wikimedia.org/wikipedia/commons/0/02/HAWK-Logo.jpg
|
||||
Leuphana Universität Lüneburg,University,public,yes,1946,6497,Universitätsallee 1,53.228531,10.40171,21335 Lüneburg,https://upload.wikimedia.org/wikipedia/commons/thumb/9/93/Leuphana_Universit%C3%A4t_L%C3%BCneburg_Logo_2020.svg/2560px-Leuphana_Universit%C3%A4t_L%C3%BCneburg_Logo_2020.svg.png
|
||||
Norddeutsche Hochschule für Rechtspflege – Niedersachsen,University of Administration,public,no,2007,6409,Godehardspl. 6,52.14484,9.94923,31134 Hildesheim,https://static.studycheck.de/media/images/institute_logos/small/hr-nord.jpg
|
||||
Kommunale Hochschule für Verwaltung in Niedersachsen,University of Administration,public,no,2007,1570,Wielandstraße 8,52.3705,9.72239,30169 Hannover,https://www.nsi-hsvn.de/fileadmin/user_upload/02_Studium/big-hsvn_logo.png
|
||||
"Carl von Ossietzky Universität Oldenburg
|
||||
",University,public,yes,1973,15635,Uhlhornsweg 49-55,53.14734,8.17902,26129 Oldenburg,https://upload.wikimedia.org/wikipedia/commons/thumb/2/22/Carl_von_Ossietzky_Universit%C3%A4t_Oldenburg_logo.svg/1200px-Carl_von_Ossietzky_Universit%C3%A4t_Oldenburg_logo.svg.png
|
||||
Hochschule Osnabrück,University of Applied Sciences,public,no,1971,13620,Albrechtstraße 30,52.28268,8.02501,49076 Osnabrück,https://login.hs-osnabrueck.de/nidp/hsos/images/hsos-logo.png
|
||||
Universität Osnabrück,University,public,yes,1973,13640,Neuer Graben 29,52.27137,8.04454,49074 Osnabrück,https://www.eh-tabor.de/sites/default/files/styles/width980px/public/logo-universitaet-osnabrueck.png?itok=DmZEq9ka
|
||||
"Hochschule Braunschweig/Wolfenbüttel, Ostfalia Hochschule für angewandte Wissenschaften",University of Applied Sciences,public,no,1971,11577,Salzdahlumer Str. 46/48,52.17683,10.54865,38302 Wolfenbüttel,https://www.ostfalia.de/export/system/modules/de.ostfalia.module.template/resources/images/logo/Ostfalia_German.png_230952558.png
|
||||
"Hochschule Wolfsburg, Ostfalia Hochschule für angewandte Wissenschaften",University of Applied Sciences,public,no,1971,11577,Robert-Koch-Platz 8A,52.42595,10.78711,38440 Wolfsburg,https://www.ostfalia.de/export/system/modules/de.ostfalia.module.template/resources/images/logo/Ostfalia_German.png_230952558.png
|
||||
"Hochschule Suderburg, Ostfalia Hochschule für angewandte Wissenschaften",University of Applied Sciences,public,no,1971,11577,Herbert-Meyer-Straße 7,52.89761,10.44659,29556 Suderburg,https://www.ostfalia.de/export/system/modules/de.ostfalia.module.template/resources/images/logo/Ostfalia_German.png_230952558.png
|
||||
"Hochschule Salzgitter, Ostfalia Hochschule für angewandte Wissenschaften",University of Applied Sciences,public,no,1971,11577,Karl-Scharfenberg-Straße 55/57,52.08724,10.38055,38229 Salzgitter,https://www.ostfalia.de/export/system/modules/de.ostfalia.module.template/resources/images/logo/Ostfalia_German.png_230952558.png
|
||||
"Hochschule für Künste im Sozialen, Ottersberg",University of Applied Sciences,privat,no,1967,342,Große Str. 107,53.10668,9.1631,28870 Ottersberg,https://upload.wikimedia.org/wikipedia/commons/thumb/e/eb/Logo_HKS_Ottersberg.svg/1200px-Logo_HKS_Ottersberg.svg.png
|
||||
Private Hochschule für Wirtschaft und Technik Vechta,University of Applied Sciences,privat,no,1998,558,Rombergstraße 40,52.72125,8.27891,49377 Vechta,https://www.phwt.de/wp-content/uploads/2020/09/phwt-logo-free.png
|
||||
Private Hochschule für Wirtschaft und Technik Diepholz,University of Applied Sciences,privat,no,1998,558,Schlesier Str. 13A,52.61171,8.36334,49356 Diepholz,https://www.phwt.de/wp-content/uploads/2020/09/phwt-logo-free.png
|
||||
Universität Vechta,University,public,yes,1995,4.551,Driverstraße 22,52.72117,8.2938,49377 Vechta,https://upload.wikimedia.org/wikipedia/commons/0/08/Logo_Uni_Vechta-neu.png
|
||||
Hochschule Weserbergland,University of Applied Sciences,privat,no,2010,485,Am Stockhof 2,52.09875,9.35542,31785 Hameln,https://upload.wikimedia.org/wikipedia/commons/thumb/0/04/Hochschule_Weserbergland_logo.svg/1200px-Hochschule_Weserbergland_logo.svg.png
|
||||
Jade Hochschule – Wilhelmshaven,University of Applied Sciences,public,no,2009,6789,Friedrich-Paffrath-Straße 101,53.54787,8.08804,26389 Wilhelmshaven,https://www.jade-hs.de/fileadmin/layout2016/assets/jadehs-logo.png
|
||||
Jade Hochschule – Oldenburg,University of Applied Sciences,public,no,2009,6789,Ofener Str. 16/19,53.14179,8.20213,26121 Oldenburg,https://www.jade-hs.de/fileadmin/layout2016/assets/jadehs-logo.png
|
||||
Jade Hochschule – Elsfleth,University of Applied Sciences,public,no,2009,6789,Weserstraße 52,53.24244,8.46651,26931 Elsfleth,https://www.jade-hs.de/fileadmin/layout2016/assets/jadehs-logo.png
|
||||
Steuerakademie Niedersachsen Rinteln,University of Administration,public,no,2006,500,Wilhelm-Busch-Weg 29,52.20696,9.09112,31737 Rinteln,https://www.steuerakademie.niedersachsen.de/assets/image/232/85611
|
||||
Steuerakademie Niedersachsen Bad Eilsen,University of Administration,public,no,2006,500,Bahnhofstraße 5,52.23981,9.10423,31707 Bad Eilsen,https://www.steuerakademie.niedersachsen.de/assets/image/232/85611
|
||||
|
Binary file not shown.
Binary file not shown.
Binary file not shown.
48
Documents/Arbeit/IFN/Programmieren WiSe 25 26/Misc/convert.sh
Executable file
48
Documents/Arbeit/IFN/Programmieren WiSe 25 26/Misc/convert.sh
Executable file
@@ -0,0 +1,48 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Pandoc Markdown to PDF conversion script
|
||||
# Usage: ./convert.sh <input_file> <output_file>
|
||||
|
||||
# Check if correct number of arguments provided
|
||||
if [ $# -ne 2 ]; then
|
||||
echo "Usage: $0 <input_file> <output_file>"
|
||||
echo "Example: $0 ../Time\ Table.md ../Time\ Table.pdf"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
INPUT_FILE="$1"
|
||||
OUTPUT_FILE="$2"
|
||||
|
||||
# Check if input file exists
|
||||
if [ ! -f "$INPUT_FILE" ]; then
|
||||
echo "Error: Input file '$INPUT_FILE' not found"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# Get the directory where the script is located
|
||||
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
|
||||
# Convert markdown to PDF
|
||||
pandoc "$INPUT_FILE" \
|
||||
-f markdown+wikilinks_title_after_pipe \
|
||||
-t html \
|
||||
-c "$SCRIPT_DIR/print.css" \
|
||||
-s \
|
||||
-M title="Time Table" \
|
||||
--lua-filter="$SCRIPT_DIR/image-filter.lua" \
|
||||
--pdf-engine=wkhtmltopdf \
|
||||
--pdf-engine-opt=--footer-center \
|
||||
--pdf-engine-opt="Author: Phil Keier - $(date +'%A, %d %B %Y - %H:%M')" \
|
||||
--pdf-engine-opt=--footer-font-size \
|
||||
--pdf-engine-opt=10 \
|
||||
-o "$OUTPUT_FILE"
|
||||
|
||||
# Check if conversion was successful
|
||||
if [ $? -eq 0 ]; then
|
||||
echo "✓ PDF successfully created: $OUTPUT_FILE"
|
||||
tdf "$OUTPUT_FILE"
|
||||
exit 0
|
||||
else
|
||||
echo "✗ Error during PDF conversion"
|
||||
exit 1
|
||||
fi
|
||||
@@ -0,0 +1,28 @@
|
||||
-- Filter to remove image alt text display
|
||||
function Image(elem)
|
||||
-- Clear all caption/alt text
|
||||
elem.caption = {}
|
||||
elem.attr.attributes = {}
|
||||
return elem
|
||||
end
|
||||
|
||||
function Para(elem)
|
||||
-- If paragraph contains only an image, keep it
|
||||
if #elem.content == 1 and elem.content[1].t == "Image" then
|
||||
return elem
|
||||
end
|
||||
|
||||
-- Remove any standalone text that looks like alt text (common filenames)
|
||||
if #elem.content == 1 and elem.content[1].t == "Str" then
|
||||
local text = elem.content[1].text
|
||||
-- List of common image extensions
|
||||
local image_exts = { "png", "jpg", "jpeg", "gif", "svg", "webp", "bmp" }
|
||||
for _, ext in ipairs(image_exts) do
|
||||
if text:lower():match("%." .. ext .. "$") then
|
||||
return {} -- Remove this paragraph
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
return elem
|
||||
end
|
||||
@@ -1,55 +1,209 @@
|
||||
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+Mono:wght@400;700&display=swap');
|
||||
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+Mono:wght@100..900&family=Noto+Sans:ital,wght@0,100..900;1,100..900&family=Roboto:ital,wght@0,100..900;1,100..900&display=swap');
|
||||
|
||||
@page {
|
||||
size: A4;
|
||||
margin: 1.5cm;
|
||||
|
||||
/* Add page numbers at bottom */
|
||||
@bottom-right {
|
||||
content: "Page " counter(page);
|
||||
font-family: "Noto Sans Mono", monospace;
|
||||
font-size: 10pt;
|
||||
}
|
||||
}
|
||||
/* Print stylesheet for Pandoc PDF conversion - German University Standards */
|
||||
|
||||
/* Base styling */
|
||||
body {
|
||||
font-family: "Helvetica", Arial, sans-serif;
|
||||
font-family: 'Roboto', sans-serif;
|
||||
font-size: 12pt;
|
||||
line-height: 1.5;
|
||||
color: #000;
|
||||
background: #fff;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
text-align: justify;
|
||||
hyphens: auto;
|
||||
-webkit-hyphens: auto;
|
||||
-moz-hyphens: auto;
|
||||
}
|
||||
|
||||
h1,h2 {
|
||||
text-align: center;
|
||||
margin: 0 0 0.5cm 0;
|
||||
font-size: 24pt;
|
||||
page-break-before: always;
|
||||
/* Title - hide it */
|
||||
h1.title {
|
||||
display: none;
|
||||
}
|
||||
|
||||
/* Headings */
|
||||
h1, h2, h3, h4, h5, h6 {
|
||||
margin-top: 1em;
|
||||
margin-bottom: 0.5em;
|
||||
font-weight: bold;
|
||||
color: #000;
|
||||
page-break-after: avoid;
|
||||
text-align: left;
|
||||
}
|
||||
|
||||
h1 {
|
||||
font-size: 18pt;
|
||||
border-bottom: 1pt solid #000;
|
||||
padding-bottom: 0.3em;
|
||||
}
|
||||
|
||||
h2 {
|
||||
font-size: 18pt;
|
||||
font-size: 14pt;
|
||||
margin-top: 1.2em;
|
||||
}
|
||||
|
||||
h1,h2:first-of-type {
|
||||
page-break-before: avoid;
|
||||
h3 {
|
||||
font-size: 12pt;
|
||||
}
|
||||
|
||||
/* Table height: page height minus top/bottom margins and header estimate */
|
||||
/* Paragraphs and text */
|
||||
p {
|
||||
margin: 1em 0;
|
||||
orphans: 3;
|
||||
widows: 3;
|
||||
text-align: justify;
|
||||
hyphens: auto;
|
||||
-webkit-hyphens: auto;
|
||||
-moz-hyphens: auto;
|
||||
}
|
||||
|
||||
/* Links - visible but not underlined */
|
||||
a {
|
||||
color: inherit;
|
||||
text-decoration: none;
|
||||
}
|
||||
|
||||
a[href]::after {
|
||||
content: "";
|
||||
}
|
||||
|
||||
/* Tables */
|
||||
table {
|
||||
width: 100%;
|
||||
border-collapse: collapse;
|
||||
table-layout: fixed;
|
||||
border: 1pt solid #000;
|
||||
|
||||
/* A4 height 29.7cm - margins 3cm - header 2cm ≈ 24.7cm */
|
||||
height: 22.7cm;
|
||||
margin: 1em 0;
|
||||
page-break-inside: avoid;
|
||||
}
|
||||
|
||||
th, td {
|
||||
border: 0.8pt solid #000;
|
||||
text-align: center;
|
||||
border: 1pt solid #999;
|
||||
padding: 4pt;
|
||||
text-align: left;
|
||||
vertical-align: middle;
|
||||
padding: 0;
|
||||
text-align: justify;
|
||||
hyphens: auto;
|
||||
-webkit-hyphens: auto;
|
||||
-moz-hyphens: auto;
|
||||
}
|
||||
|
||||
/* Tight spacing for first column (dates) */
|
||||
th:first-child,
|
||||
td:first-child {
|
||||
padding: 2pt 3pt;
|
||||
text-align: center;
|
||||
width: 8%;
|
||||
font-size: 10pt;
|
||||
}
|
||||
|
||||
th {
|
||||
background-color: #f5f5f5;
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
/* Lists */
|
||||
ul, ol {
|
||||
margin: 1em 0;
|
||||
padding-left: 2em;
|
||||
}
|
||||
|
||||
li {
|
||||
margin: 0.5em 0;
|
||||
text-align: justify;
|
||||
hyphens: auto;
|
||||
-webkit-hyphens: auto;
|
||||
-moz-hyphens: auto;
|
||||
}
|
||||
|
||||
/* Code blocks */
|
||||
pre {
|
||||
background-color: #f5f5f5;
|
||||
border: 1pt solid #ddd;
|
||||
padding: 10pt;
|
||||
overflow-x: auto;
|
||||
page-break-inside: avoid;
|
||||
font-family: 'Noto Sans Mono', monospace;
|
||||
font-size: 10pt;
|
||||
}
|
||||
|
||||
code {
|
||||
font-family: 'Noto Sans Mono', monospace;
|
||||
font-size: 0.9em;
|
||||
background-color: #f5f5f5;
|
||||
padding: 2pt 4pt;
|
||||
}
|
||||
|
||||
/* Blockquotes */
|
||||
blockquote {
|
||||
margin-left: 2em;
|
||||
margin-right: 0;
|
||||
padding-left: 1em;
|
||||
border-left: 3pt solid #999;
|
||||
color: #666;
|
||||
page-break-inside: avoid;
|
||||
text-align: justify;
|
||||
hyphens: auto;
|
||||
-webkit-hyphens: auto;
|
||||
-moz-hyphens: auto;
|
||||
}
|
||||
|
||||
/* Footnotes */
|
||||
.footnotes {
|
||||
margin-top: 2em;
|
||||
padding-top: 1em;
|
||||
border-top: 1pt solid #000;
|
||||
font-size: 10pt;
|
||||
line-height: 1.5;
|
||||
}
|
||||
|
||||
.footnotes ol {
|
||||
padding-left: 1.5em;
|
||||
}
|
||||
|
||||
.footnotes li {
|
||||
margin: 0.5em 0;
|
||||
}
|
||||
|
||||
/* Images */
|
||||
img {
|
||||
display: block;
|
||||
max-width: 100%;
|
||||
}
|
||||
|
||||
/* Page breaks */
|
||||
.page-break {
|
||||
page-break-after: always;
|
||||
}
|
||||
|
||||
/* Print media queries - German university standards */
|
||||
@page {
|
||||
margin-top: 2.5cm;
|
||||
margin-bottom: 2.5cm;
|
||||
margin-left: 2.5cm;
|
||||
margin-right: 4.5cm;
|
||||
|
||||
@footnote {
|
||||
border-top: 1pt solid #000;
|
||||
padding-top: 0.5em;
|
||||
margin-top: 1em;
|
||||
}
|
||||
}
|
||||
|
||||
@media print {
|
||||
body {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
/* Avoid page breaks inside elements */
|
||||
h1, h2, h3, h4, h5, h6,
|
||||
table, pre, blockquote {
|
||||
page-break-inside: avoid;
|
||||
}
|
||||
|
||||
/* Prevent widows and orphans */
|
||||
p {
|
||||
orphans: 3;
|
||||
widows: 3;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -47,5 +47,26 @@ def fakultaet_generator(n: int) -> int:
|
||||
```
|
||||
|
||||
|
||||
Ideen:
|
||||
- Stock Market Simulation (Animal Crossing)
|
||||
- Gini Index
|
||||
938-828
|
||||
791-748
|
||||
|
||||
|
||||
|
||||
```python
|
||||
# Hacky One-Liner
|
||||
unis_nd['Sponsorship'].value_counts().plot(
|
||||
kind='bar',
|
||||
title="Vergleich Finanzierungstatus Universitäten Niedersachsen",
|
||||
color=["#f9e2af", "#cba6f7"]
|
||||
)
|
||||
plt.show()
|
||||
```
|
||||
|
||||
|
||||
$$\text{Birth Rate} = \frac{B}{P} * 1000$$
|
||||
|
||||
|
||||
|
||||
|
||||
@@ -14,7 +14,7 @@ editor: markdown
|
||||
uuid: "1758707464213"
|
||||
feature: thumbnails/external/89b30361e78c63dafa937dce92b1f550.svg
|
||||
---
|
||||
|
||||
|
||||
|
||||
# Time Table
|
||||
**Every Friday from 15-16.30h**
|
||||
@@ -37,43 +37,7 @@ feature: thumbnails/external/89b30361e78c63dafa937dce92b1f550.svg
|
||||
| [[23.01.2026]] | Folium - Maps, Markers, HTML |
|
||||
| [[30.01.2026]] | Data Analysis - Demo Project |
|
||||
| [[06.02.2026]] | Projects |
|
||||
| 19.02.2026 | Prüfung (Termin unter vorbehalt) |
|
||||
| 20.02.2026 | Prüfung (Termin unter vorbehalt) |
|
||||
| 05.03.2026 | Prüfung 10-12h R22.2 |
|
||||
| 06.03.2026 | Prüfung 10-12h R22.2 |
|
||||
|
||||
---
|
||||
|
||||
Ideen:
|
||||
- Stock Market Simulation (Animal Crossing)
|
||||
- Gini Index
|
||||
938-828
|
||||
791-748
|
||||
|
||||
|
||||
|
||||
```python
|
||||
gain_week = [
|
||||
rand.uniform(-2.5, 2.5, sims)
|
||||
for _ in range(7)
|
||||
]
|
||||
|
||||
|
||||
duration = np.zeros(sims)
|
||||
for gain in gain_week:
|
||||
duration += gain
|
||||
duration += men
|
||||
|
||||
gain_percent = float(
|
||||
np.round((duration < avg_weight-3).sum()/sims, decimals=2)
|
||||
)
|
||||
|
||||
plt.figure(figsize=(10,5))
|
||||
plt.hist(duration, density=True)
|
||||
plt.axvline(avg_weight-3, color='r')
|
||||
plt.show()
|
||||
print(gain_percent)
|
||||
```
|
||||
|
||||
|
||||
$$\text{Birth Rate} = \frac{B}{P} * 1000$$
|
||||
|
||||
|
||||
|
||||
Binary file not shown.
@@ -12,6 +12,21 @@ thumbnail: thumbnails/resized/e3f80df020cca3c2d7e2ffdc7d968e79_86cf658e.webp
|
||||
# 09.01.2026
|
||||
|
||||
# Tasks
|
||||
- [ ] Task1
|
||||
- [ ] T-Test
|
||||
- [ ] Korrelation
|
||||
- [ ] Gender Pay Gap
|
||||
|
||||
## Gender Pay Gap
|
||||
[Pressemitteilung Destatis](https://www.destatis.de/DE/Presse/Pressemitteilungen/2025/02/PD25_056_621.html)
|
||||
|
||||
|
||||
[Gender Pay Gap Germany](https://www.destatis.de/DE/Themen/Arbeit/Verdienste/Verdienste-GenderPayGap/_inhalt.html)
|
||||
[Unterschiede nach Alter](https://www.destatis.de/DE/Themen/Arbeit/Verdienste/Verdienste-GenderPayGap/_inhalt.html)
|
||||
[Verdi](https://frauen.verdi.de/themen/gleichstellung-gleiches-geld/++co++a23dc6dc-ea05-11ef-8d28-eb5b31c91378)
|
||||
[Bild](https://www.bild.de/geld/wirtschaft/lohnplus-in-deutschland-frauen-und-geringverdiener-profitieren-67bec0fcd1e5ac3c115e3eef)
|
||||
[Tagesschau Equal Pay Day 2016](https://www.youtube.com/watch?v=p9luTX7xkTA)
|
||||
|
||||
|
||||
|
||||
|
||||
---
|
||||
|
||||
@@ -1,28 +1,28 @@
|
||||
Nachname,Vorname,Hauptfach,Nebenfach,Abschluss,Semester,HBK Mat-Nr.,TU Mat-Nr.,Jupyter ID,1. Tutorial (31),2. Tutorial (17),3. Extended Applications (26),4. NumPy & MatPlotLib (45),5. SciPy (45),6. Monte Carlo Simulation (40),7. Pandas,8. Statistical Test Methods,9. Data Analysis 1,10. Folium,11. Data Analysis 2,Bestanden?
|
||||
Arshad,Dania,Medienwissenschaften,English Studies,B.A.,3,79842,5537743,de3954e1b873bd08905abd86f101e665,7,9,19,17.5,23,0,0,0,0,0,0,
|
||||
Beu,Jamie,Medienwissenschaften,Kunstwissenschaften,B.A.,3,79721,5534234,ef2b8977b9b4b8f3c080fccb150ca4a2,25,16,21,31,42,0,0,0,0,0,0,
|
||||
Biermann,Michael,Chemie,,M.Sc.,11,,5600913,820835991a0207b4ea61c8310ef41cf1,31,18,19,39.5,45,0,0,0,0,0,0,
|
||||
Arshad,Dania,Medienwissenschaften,English Studies,B.A.,3,79842,5537743,de3954e1b873bd08905abd86f101e665,7,9,19,17.5,23,14,0,0,0,0,0,
|
||||
Beu,Jamie,Medienwissenschaften,Kunstwissenschaften,B.A.,3,79721,5534234,ef2b8977b9b4b8f3c080fccb150ca4a2,25,16,21,31,42,39,0,0,0,0,0,
|
||||
Biermann,Michael,Chemie,,M.Sc.,11,,5600913,820835991a0207b4ea61c8310ef41cf1,31,18,19,39.5,45,33,0,0,0,0,0,
|
||||
Ding,Congyu,Elektromobilität,,,5,,5448142,3fdbb54e2bdd8480287fc8529c4c754b,23,18,10,20,0,0,0,0,0,0,0,
|
||||
Du,Haoyu,Elektrotechnik,,B.A.,6,,5386615,7233c47252c0c87a374d99ce0976644c,31,18,17,20,0,0,0,0,0,0,0,
|
||||
Elsner,Antonia Lilli,Medienwissenschaften,English Studies,B.A.,3,79723,5536717,3dc93e90a5fffc4a8870cf8d2c59591d,18,12,23,28,43,0,0,0,0,0,0,
|
||||
Fitzner,Lillian,Medienwissenschaften,Kunstwissenschaften,B.A.,3,79831,5534049,895d019a8ada1744ade79ec0f61f3c1c,27.5,16,21,34,41,0,0,0,0,0,0,
|
||||
Funke,Nicole,Medienwissenschaften,English Studies,B.A.,3,79726,5537178,158abd68eff3Af7998afa75b08bc9a65,30,18,22,41.5,45,0,0,0,0,0,0,
|
||||
Gebel,Julia,,,,,,,8d0e1c984aa7481fe1ce44e3480fd081,31,18,26,41,46,0,0,0,0,0,0,
|
||||
Geworsky,Alexandra,,,,,,,397339b72e2a237b7a210d2f4baaef68,23,16,18,30,37,0,0,0,0,0,0,
|
||||
Giese,Zoe,Medienwissenschaften,English Studies,B.A.,3,79762,5539156,002e83be0271ebf504f4f58b45be4b56,31,18,23,32.5,45,0,0,0,0,0,0,
|
||||
Hansen,Jule,Medienwissenschaften,English Studies,B.A.,3,79727,5536791,bba69c41ee850ded5ea71157efe5d288,30,15,23,38,42,0,0,0,0,0,0,
|
||||
Hartkopp,Annelie,Medienwissenschaften,English Studies,B.A.,3,79763,4962494,d7e25782d71197d29f2d87b7be6803c8,22,18,23,34,22,0,0,0,0,0,0,
|
||||
Hesse,Hermine,Medienwissenschaften,Kunstwissenschaften,B.A.,3,79764,5533282,59a324b9f6417f8407ec39138cfa5810,27,12,22,18,25,0,0,0,0,0,0,
|
||||
Jordan,Mirja,Medienwissenschaften,English Studies,B.A.,3,79837,5536452,f9dcf7bc0e7adb10e59406f5ff7ffa66,21,14,19,30,33,0,0,0,0,0,0,
|
||||
Kitzinger,Julianne,Medienwissenschaften,Germanistik,B.A.,3,79844,5536522,46791f2ba3fcb9a7eee82616cf23ba1a,23,16,23,29,45,0,0,0,0,0,0,
|
||||
Liu,Wenyu,Elektromobilität,,B.A.,5,,5452211,3a69ddb89d6bdab557065d8fc681876f,17,18,22,30.5,44,0,0,0,0,0,0,
|
||||
Lock,Daniel,Medienwissenschaften,Kunstwissenschaften,B.A.,3,79832,5535020,222ebe3af7287479011e87e114b801cc,25.5,14,23,24,44,0,0,0,0,0,0,
|
||||
Matschulla,Tim,Medienwissenschaften,Germanistik,B.A.,5,78633,5415658,592dab7a9613cd61985725b3af4a0ddc,21.5,16,18,31,31,0,0,0,0,0,0,
|
||||
Milbrandt,Franka,,,,,,,717c2ded5848282e7e46e447723c65c5,30,18,20,43,45,0,0,0,0,0,0,
|
||||
Plöger,Linda,,,,,,,890fae02f2999a1d407ccafdc822e666,31,18,25,31,30,0,0,0,0,0,0,
|
||||
Reis,Adrian,Medienwissenschaften,Visuelle Kommunikation,B.A.,3,79840,5539135,13b364417d638cd95b115e40b3d07ce8,27,14,19.5,17,36,0,0,0,0,0,0,
|
||||
Rörig,Annemike,Medienwissenschaften,Germanistik,B.A.,3,79834,5534247,e4f786874461a353d1a9160e12e90d41,18,17,21,40,24,0,0,0,0,0,0,
|
||||
Sato,Kenji,Medienwissenschaften,English Studies,B.A.,1,80811,5635355,7f79b060fd89efbde4d8c800f03ccc43,25,17.5,23,39,44,0,0,0,0,0,0,
|
||||
Elsner,Antonia Lilli,Medienwissenschaften,English Studies,B.A.,3,79723,5536717,3dc93e90a5fffc4a8870cf8d2c59591d,18,12,23,28,43,40,0,0,0,0,0,
|
||||
Fitzner,Lillian,Medienwissenschaften,Kunstwissenschaften,B.A.,3,79831,5534049,895d019a8ada1744ade79ec0f61f3c1c,27.5,16,21,34,41,40,0,0,0,0,0,
|
||||
Funke,Nicole,Medienwissenschaften,English Studies,B.A.,3,79726,5537178,158abd68eff3Af7998afa75b08bc9a65,30,18,22,41.5,45,40,0,0,0,0,0,
|
||||
Gebel,Julia,,,,,,,8d0e1c984aa7481fe1ce44e3480fd081,31,18,26,41,46,38,0,0,0,0,0,
|
||||
Geworsky,Alexandra,,,,,,,397339b72e2a237b7a210d2f4baaef68,23,16,18,30,37,37,0,0,0,0,0,
|
||||
Giese,Zoe,Medienwissenschaften,English Studies,B.A.,3,79762,5539156,002e83be0271ebf504f4f58b45be4b56,31,18,23,32.5,45,38,0,0,0,0,0,
|
||||
Hansen,Jule,Medienwissenschaften,English Studies,B.A.,3,79727,5536791,bba69c41ee850ded5ea71157efe5d288,30,15,23,38,42,38,0,0,0,0,0,
|
||||
Hartkopp,Annelie,Medienwissenschaften,English Studies,B.A.,3,79763,4962494,d7e25782d71197d29f2d87b7be6803c8,22,18,23,34,22,9,0,0,0,0,0,
|
||||
Hesse,Hermine,Medienwissenschaften,Kunstwissenschaften,B.A.,3,79764,5533282,59a324b9f6417f8407ec39138cfa5810,27,12,22,18,25,36,0,0,0,0,0,
|
||||
Jordan,Mirja,Medienwissenschaften,English Studies,B.A.,3,79837,5536452,f9dcf7bc0e7adb10e59406f5ff7ffa66,21,14,19,30,33,38,0,0,0,0,0,
|
||||
Kitzinger,Julianne,Medienwissenschaften,Germanistik,B.A.,3,79844,5536522,46791f2ba3fcb9a7eee82616cf23ba1a,23,16,23,29,45,38,0,0,0,0,0,
|
||||
Liu,Wenyu,Elektromobilität,,B.A.,5,,5452211,3a69ddb89d6bdab557065d8fc681876f,17,18,22,30.5,44,18,0,0,0,0,0,
|
||||
Lock,Daniel,Medienwissenschaften,Kunstwissenschaften,B.A.,3,79832,5535020,222ebe3af7287479011e87e114b801cc,25.5,14,23,24,44,40,0,0,0,0,0,
|
||||
Matschulla,Tim,Medienwissenschaften,Germanistik,B.A.,5,78633,5415658,592dab7a9613cd61985725b3af4a0ddc,21.5,16,18,31,31,27,0,0,0,0,0,
|
||||
Milbrandt,Franka,,,,,,,717c2ded5848282e7e46e447723c65c5,30,18,20,43,45,39,0,0,0,0,0,
|
||||
Plöger,Linda,,,,,,,890fae02f2999a1d407ccafdc822e666,31,18,25,31,30,38,0,0,0,0,0,
|
||||
Reis,Adrian,Medienwissenschaften,Visuelle Kommunikation,B.A.,3,79840,5539135,13b364417d638cd95b115e40b3d07ce8,27,14,19.5,17,36,40,0,0,0,0,0,
|
||||
Rörig,Annemike,Medienwissenschaften,Germanistik,B.A.,3,79834,5534247,e4f786874461a353d1a9160e12e90d41,18,17,21,40,24,27,0,0,0,0,0,
|
||||
Sato,Kenji,Medienwissenschaften,English Studies,B.A.,1,80811,5635355,7f79b060fd89efbde4d8c800f03ccc43,25,17.5,23,39,44,33,0,0,0,0,0,
|
||||
Scheler,Helene,Medienwissenschaften,Kunstwissenschaften,B.A.,3,79794,5540057,03a954bc9e3c15a8dc79b2683de6cfd8,27,18,9,28,11,0,0,0,0,0,0,
|
||||
Schmitz,Fiona,Medienwissenschaften,English Studies,B.A.,3,79836,5545416,ed28f139682510181f2c98097162cd4d,30,16,19,38,43,0,0,0,0,0,0,
|
||||
Schmitz,Marie-Christine,,,,,,,6346e0b96e57f2fb5639874e6aa767a7,29,17,25,33,21,0,0,0,0,0,0,
|
||||
|
||||
|
@@ -17,14 +17,14 @@ uuid: "1766702841147"
|
||||
>
|
||||
|
||||
# Tasks
|
||||
- [ ] Install Nix
|
||||
- [ ] Base config
|
||||
- [ ] Kitty
|
||||
- [ ] Fish
|
||||
- [ ] Starship
|
||||
- [ ] Fastfetch
|
||||
- [ ] Nixvim
|
||||
- [ ] Yabai
|
||||
- [x] Install Nix
|
||||
- [x] Base config
|
||||
- [x] Kitty
|
||||
- [x] Fish
|
||||
- [x] Starship
|
||||
- [x] Fastfetch
|
||||
- [x] Nixvim
|
||||
- [x] Yabai
|
||||
- [ ] Sketchybar
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user