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17528d2
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Parent(s):
8ad2a95
Update app.py
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app.py
CHANGED
@@ -71,8 +71,8 @@ brand_1 = project_data["Brand"].value_counts().nlargest(15).sort_values(ascendin
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# Define the hvplot charts
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category_chart1 = category_1.hvplot.bar(rot=90, title='Category Distribution', color=['#206b33'], width=800, height=400)
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brand_chart1 = brand_1.hvplot.bar(rot=90, title='Brand Count Distribution (Top 15)', color=['#206b33'], width=800, height=400)
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price_chart = df.hvplot
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discounted_price_chart = df.hvplot
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brand_price = dict(sorted(brand_price.items(), key=lambda item: item[1], reverse=True))
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category_price = dict(sorted(category_price.items(), key=lambda item: item[1], reverse=True))
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# Define the hvplot charts
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category_chart1 = category_1.hvplot.bar(rot=90, title='Category Distribution', color=['#206b33'], width=800, height=400)
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brand_chart1 = brand_1.hvplot.bar(rot=90, title='Brand Count Distribution (Top 15)', color=['#206b33'], width=800, height=400)
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price_chart = df.hvplot(y='Price', color='#006400', width=800, height=400)
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discounted_price_chart = df.hvplot(y='DiscountedPrice', color='#006400', width=800, height=400)
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brand_price = dict(sorted(brand_price.items(), key=lambda item: item[1], reverse=True))
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category_price = dict(sorted(category_price.items(), key=lambda item: item[1], reverse=True))
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