Comparing Dynamics
Returning to the previous section, you solved the problem of finding the most profitable stores. According to the data, these stores are numbered 20, 4, 14, 13, and 2 (the numbers are saved in the top_stores
variable). Let's examine the sales dynamics of these stores.
Swipe to start coding
- Prepare the data for visualization: filter the values in the
df
so that only data for stores with the numbers present in thetop_stores
list remain. Save the resulting data in thedata
variable. - Initialize a line plot with dates on the x-axis, weekly sales on the y-axis, using the
data
dataframe. Display a separate line for each store.
Solution
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Comparing Dynamics
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Returning to the previous section, you solved the problem of finding the most profitable stores. According to the data, these stores are numbered 20, 4, 14, 13, and 2 (the numbers are saved in the top_stores
variable). Let's examine the sales dynamics of these stores.
Swipe to start coding
- Prepare the data for visualization: filter the values in the
df
so that only data for stores with the numbers present in thetop_stores
list remain. Save the resulting data in thedata
variable. - Initialize a line plot with dates on the x-axis, weekly sales on the y-axis, using the
data
dataframe. Display a separate line for each store.
Solution
Thanks for your feedback!
Awesome!
Completion rate improved to 3.45single