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Analyzing and Visualizing Real-World Data
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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
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.

Oppgave

Swipe to start coding

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.

Løsning

Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 4. Kapittel 7
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book
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.

Oppgave

Swipe to start coding

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.

Løsning

Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 4. Kapittel 7
Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Vi beklager at noe gikk galt. Hva skjedde?
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