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Analyzing and Visualizing Real-World Data
course content

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

Adding Holidays to Comparison

As we can see, there are different shops in the dataset, and their revenues vary significantly - we have shops with total revenue of about 50 million, and at the same time shops with total revenue of more than 250 million. Let's see whether earnings differ depending on whether it is a holiday week or not.

Task

You are going to work with nearly the same code as in the previous task. You just need to modify certain things:

  1. Group the values of the df DataFrame by 'Store', and then 'Holiday_Flag' column (the order is important). Then, after selecting the 'Weekly_Sales' column, compute the mean values.
  2. Within the .barplot() function, set the parameter, so that there will be separate bars for each of the unique values of the 'Holiday_Flag' column.

Task

You are going to work with nearly the same code as in the previous task. You just need to modify certain things:

  1. Group the values of the df DataFrame by 'Store', and then 'Holiday_Flag' column (the order is important). Then, after selecting the 'Weekly_Sales' column, compute the mean values.
  2. Within the .barplot() function, set the parameter, so that there will be separate bars for each of the unique values of the 'Holiday_Flag' column.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 4. Chapter 7
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Adding Holidays to Comparison

As we can see, there are different shops in the dataset, and their revenues vary significantly - we have shops with total revenue of about 50 million, and at the same time shops with total revenue of more than 250 million. Let's see whether earnings differ depending on whether it is a holiday week or not.

Task

You are going to work with nearly the same code as in the previous task. You just need to modify certain things:

  1. Group the values of the df DataFrame by 'Store', and then 'Holiday_Flag' column (the order is important). Then, after selecting the 'Weekly_Sales' column, compute the mean values.
  2. Within the .barplot() function, set the parameter, so that there will be separate bars for each of the unique values of the 'Holiday_Flag' column.

Task

You are going to work with nearly the same code as in the previous task. You just need to modify certain things:

  1. Group the values of the df DataFrame by 'Store', and then 'Holiday_Flag' column (the order is important). Then, after selecting the 'Weekly_Sales' column, compute the mean values.
  2. Within the .barplot() function, set the parameter, so that there will be separate bars for each of the unique values of the 'Holiday_Flag' column.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 4. Chapter 7
toggle bottom row

Adding Holidays to Comparison

As we can see, there are different shops in the dataset, and their revenues vary significantly - we have shops with total revenue of about 50 million, and at the same time shops with total revenue of more than 250 million. Let's see whether earnings differ depending on whether it is a holiday week or not.

Task

You are going to work with nearly the same code as in the previous task. You just need to modify certain things:

  1. Group the values of the df DataFrame by 'Store', and then 'Holiday_Flag' column (the order is important). Then, after selecting the 'Weekly_Sales' column, compute the mean values.
  2. Within the .barplot() function, set the parameter, so that there will be separate bars for each of the unique values of the 'Holiday_Flag' column.

Task

You are going to work with nearly the same code as in the previous task. You just need to modify certain things:

  1. Group the values of the df DataFrame by 'Store', and then 'Holiday_Flag' column (the order is important). Then, after selecting the 'Weekly_Sales' column, compute the mean values.
  2. Within the .barplot() function, set the parameter, so that there will be separate bars for each of the unique values of the 'Holiday_Flag' column.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

As we can see, there are different shops in the dataset, and their revenues vary significantly - we have shops with total revenue of about 50 million, and at the same time shops with total revenue of more than 250 million. Let's see whether earnings differ depending on whether it is a holiday week or not.

Task

You are going to work with nearly the same code as in the previous task. You just need to modify certain things:

  1. Group the values of the df DataFrame by 'Store', and then 'Holiday_Flag' column (the order is important). Then, after selecting the 'Weekly_Sales' column, compute the mean values.
  2. Within the .barplot() function, set the parameter, so that there will be separate bars for each of the unique values of the 'Holiday_Flag' column.

Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 4. Chapter 7
Switch to desktop for real-world practiceContinue from where you are using one of the options below
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