103 lines
2.1 KiB
Markdown
103 lines
2.1 KiB
Markdown
Arbeiten zusammen:
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- Jamie Beu
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- Julianne Kitzinger
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- Arian Temouri
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Fehlende Daten:
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- 59513b5256dc16e99c505915cdd84aa1
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- 6948c64227d75cd50901c246be88e264
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- a22ad77be0d478b5fe34d1167d4dbb3a
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- a96f7c881d27b739c38b81da2058a2fb
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- c6679ce22dfd5646f81d40a8dbb0236b
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Beispiele:
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>[!danger]
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>```C
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>void (*(*f[])())()
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>```
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>*defines **f** as an array of unspecified size of pointers to functions that return pointers to functions that return void*
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Congyu Ding
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Annemike Rörig
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```python
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def fakultaet_generator(n: int) -> int:
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"""
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Generiert mittels ChatGPT (26.11.2025)
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Prompt: "..."
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- Berechnung der Fakultät
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- Robuste Fehlerbehandlung
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- Benötigt für Berechnung XXX
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"""
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# Robuste Fehlerbehandlung bei Werten kleiner 0
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if n < 0:
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raise ValueError("Die Fakultät ist nur für nicht-negative Zahlen definiert.")
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# Berechnung der Fakultät mittels aufmultiplizieren
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ergebnis = 1
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for i in range(1, n + 1):
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ergebnis *= i
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yield ergebnis
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```
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Ideen:
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- Stock Market Simulation (Animal Crossing)
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- Gini Index
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938-828
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791-748
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```python
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# Plot
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fig, ax = plt.subplots(figsize=(8,5))
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ax.set_title(
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"Verteiltung Durchschn. Bruttomonatsverdienste ohne Sonderz. (nach Geschlecht)"
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)
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sb.kdeplot(
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female, label="Weiblich",
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color="#fe640b", fill=True,
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alpha=0.5, ax=ax
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)
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sb.kdeplot(
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male, label="Männlich",
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color="#40a02b", fill=True,
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alpha=0.5, ax=ax
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)
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ax.legend()
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text = f'''t‑stat: {t_stat:.2f}
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p‑value: {p_value:.3f}
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Pay Gap: {unbereinigter_gpg:.2f}%
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Abs. Diff: {bruttoeinkommen_diff:.2f}€'''
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ax.text(0.95, 0.75, text,
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transform=ax.transAxes,
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fontsize=10,
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verticalalignment='top',
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horizontalalignment='right',
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bbox=dict(
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facecolor='white',
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edgecolor='black',
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pad=5, alpha=0.8
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)
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)
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plt.show()
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```
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$$\text{Birth Rate} = \frac{B}{P} * 1000$$
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# Projekte
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- [Social Media Addiction](https://www.kaggle.com/datasets/adilshamim8/social-media-addiction-vs-relationships)
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- [Movies & Shows](https://www.kaggle.com/datasets/shivamb/amazon-prime-movies-and-tv-shows)
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- 8
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