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Analyzing and Visualizing Real-World Data
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Course Content

Analyzing and Visualizing Real-World Data

Analyzing and Visualizing Real-World Data

1. Preprocessing Data: Part I
Loading the DataData TypesColumns OverviewRemoving Characters: Method 1Removing Characters: Method 2Checking ColumnsReplacing Characters
2. Preprocessing Data: Part II
Analyzing ColumnsRemoving and ReplacingProcessing DatesWrong 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

book
Holidays Effect

The result of the previous chapter is quite interesting! It turns out that the top 10 combinations of store and week with the highest sales are during the last but one week of December! What could be the reason for this? Perhaps the upcoming Christmas - people start preparing for the holiday, buying gifts, and so on.

There is a column called 'Holiday_Flag' with only 2 possible values: 1 if the week contains a major holiday, and 0 if it does not. Let's compare the median sales for weeks with and without holidays.

Task
test

Swipe to begin your solution

  1. Group the values of the df dataframe by the 'Holiday_Flag' column.
  2. Select the 'Weekly_Sales' column.
  3. Calculate the median values across the groups.

Solution

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Section 3. Chapter 7
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book
Holidays Effect

The result of the previous chapter is quite interesting! It turns out that the top 10 combinations of store and week with the highest sales are during the last but one week of December! What could be the reason for this? Perhaps the upcoming Christmas - people start preparing for the holiday, buying gifts, and so on.

There is a column called 'Holiday_Flag' with only 2 possible values: 1 if the week contains a major holiday, and 0 if it does not. Let's compare the median sales for weeks with and without holidays.

Task
test

Swipe to begin your solution

  1. Group the values of the df dataframe by the 'Holiday_Flag' column.
  2. Select the 'Weekly_Sales' column.
  3. Calculate the median values across the groups.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 3. Chapter 7
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