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.

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.

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Section 4. Chapter 2

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.

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.