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Comparing Dynamics | Visualizing Data
Analyzing and Visualizing Real-World Data

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

  1. Prepare the data for visualization: filter the values in the df so that only data for stores with the numbers present in the top_stores list remain. Save the resulting data in the data variable.
  2. 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.

Everything was clear?

Section 4. Chapter 2
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course content

Course Content

Analyzing and Visualizing Real-World Data

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

  1. Prepare the data for visualization: filter the values in the df so that only data for stores with the numbers present in the top_stores list remain. Save the resulting data in the data variable.
  2. 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.

Everything was clear?

Section 4. Chapter 2
toggle bottom row
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