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.
Task
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
Everything was clear?
Thanks for your feedback!
SectionΒ 4. ChapterΒ 2
single
Ask AI
Ask AI
Ask anything or try one of the suggested questions to begin our chat
Awesome!
Completion rate improved to 3.45
Comparing Dynamics
Swipe to show menu
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.
Task
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
Everything was clear?
Thanks for your feedback!
Awesome!
Completion rate improved to 3.45SectionΒ 4. ChapterΒ 2
single