Course Content
Analyzing and Visualizing Real-World Data
Analyzing and Visualizing Real-World Data
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
- Group the values of the
dfdataframe by the'Holiday_Flag'column. - Select the
'Weekly_Sales'column. - Calculate the median values across the groups.
Task
- Group the values of the
dfdataframe by the'Holiday_Flag'column. - Select the
'Weekly_Sales'column. - Calculate the median values across the groups.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowEverything was clear?
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
- Group the values of the
dfdataframe by the'Holiday_Flag'column. - Select the
'Weekly_Sales'column. - Calculate the median values across the groups.
Task
- Group the values of the
dfdataframe by the'Holiday_Flag'column. - Select the
'Weekly_Sales'column. - Calculate the median values across the groups.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowEverything was clear?
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
- Group the values of the
dfdataframe by the'Holiday_Flag'column. - Select the
'Weekly_Sales'column. - Calculate the median values across the groups.
Task
- Group the values of the
dfdataframe by the'Holiday_Flag'column. - Select the
'Weekly_Sales'column. - Calculate the median values across the groups.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowEverything was clear?
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
- Group the values of the
dfdataframe by the'Holiday_Flag'column. - Select the
'Weekly_Sales'column. - Calculate the median values across the groups.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowSwitch to desktop for real-world practiceContinue from where you are using one of the options below