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Course Content

Analyzing and Visualizing Real-Life Data

1. Preprocessing Data: Part I

Loading the DataData TypesAnalyzing Columns [1/4]Removing Characters: Method 1Removing Characters: Method 2Analyzing Columns [2/4]Replacing Characters

2. Preprocessing Data: Part II

Analyzing Columns [3/4]Removing and ReplacingAnalyzing Columns [4/4]Wrong Convertation?Proper ConvertingThat's All?

3. Analyzing Data

Superficial AnalysisThe Most Profitable StoreDate RangeHow Periodic the Data is?The Most Profitable PeriodsThe Best CombinationHolidays EffectWhat Holidays are we Considering?The Most Profitable Holiday

4. Visualizing Data

First Look at the DataComparing DynamicsFinding RelationDoes Temperature Affect?Or is it Holiday Effect?Comparing ShopsAdding Holidays to Comparison

Analyzing and Visualizing Real-Life Data

The Most Profitable StoreThe Most Profitable Store

Since we want to find the most profitable stores based on the given data, we need to group the observations in the df dataframe by the 'Store' column values and calculate the total (sum) of the 'Weekly_Sales' column for each group. Finally, we need to sort the resulting values in descending order.

Task

  1. Group the observations in the df dataframe by the 'Store' column values.
  2. Select the 'Weekly_Sales' column.
  3. Calculate the total (sum) for each group.
  4. Sort the resulting values in descending order (not ascending).

Everything was clear?

Section 3. Chapter 2
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