35 lines
984 B
Python
35 lines
984 B
Python
# Visualisations for Data
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import matplotlib.pyplot as plt
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import seaborn as sns
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import mining_hq
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from numpy import count_nonzero
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sns.set()
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games_pre = mining_hq.games_sales_split_pre
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games_dur = mining_hq.games_sales_split_dur
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games_pos = mining_hq.games_sales_split_pos
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crime_US = mining_hq.crime_US_intersect
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crime_CA = mining_hq.crime_CA_intersect
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plt.xticks(rotation = 90)
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games_fig_pre = sns.histplot(data = games_pre, x = "Year", palette = sns.color_palette("flare"), kde = True)
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plt.show()
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plt.xticks(rotation = 90)
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games_fig2_pre = sns.histplot(data = games_pre, x = "Year", hue = "Genre", multiple = "stack", shrink = 0.65)
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plt.show()
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plt.xticks(rotation = 90)
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games_fig_dur = sns.barplot(data = games_dur, x = "Year", y = "NA_Sales")
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plt.show()
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plt.xticks(rotation = 90)
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games_fig_pos = sns.barplot(data = games_pos, x = "Year", y = "NA_Sales")
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plt.show()
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plt.xticks(rotation = 90)
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crime_CA_fig = sns.barplot(data = crime_CA, x = "year", y = "incidents")
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plt.show()
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