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+In [51]:
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+#7
+genders = set(df.dropna()["gender"])
+educations = set(df.dropna()["educationType"])
+
+for gender in genders:
+ for education in educations:
+ plt.figure(figsize=(10, 5))
+ plt.grid()
+ plt.title(f"Распределение по заработной плате для пол : '{gender}' с образованием: '{education}'")
+ plt.xlabel("Зарплата")
+ plt.ylabel("Количество")
+ query = f'gender == "{gender}" and educationType == "{education}"'
+ plt.hist(df.query(query)["salary"], bins=40)
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