First Look at the Data
Welcome to the last section! In the previous section, we investigated that the most profitable week, according to sales data, is the 'pre-Christmas' week, while Christmas week itself is significantly worse.
We want to start with some exploratory analysis: let's see revenues over weeks using matplotlib and seaborn.
フィードバックありがとうございます！
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First Look at the Data
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Welcome to the last section! In the previous section, we investigated that the most profitable week, according to sales data, is the 'pre-Christmas' week, while Christmas week itself is significantly worse.
We want to start with some exploratory analysis: let's see revenues over weeks using matplotlib and seaborn.
スワイプしてコーディングを開始
- Import the
matplotlib.pyplotwith the aliasplt, andseabornwith the aliassns. - Prepare data for visualization: calculate the total revenue for all shops across weeks. To do it, group the values of the
dfdataframe by the'Date'column, select the'Weekly_Sales'column, calculate total values, and reset indexes. Save the obtained data within thedatavariable. - Initialize a line plot with the
'Date'values on the x-axis,'Weekly_Sales'values on the y-axis, using thedatadataframe. - Display the plot.
解答
実践的な練習のためにデスクトップに切り替える下記のオプションのいずれかを利用して、現在の場所から続行するフィードバックありがとうございます！
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