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Analyzing and Visualizing Real-World Data
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Cursusinhoud

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
Removing Characters: Method 2

As mentioned, there are two ways to remove a character from all column values. The second method uses a lambda function. How does it work? You define a lambda function that removes a certain character/characters from a function variable, and apply it to the selected column. Then you convert obtained values to the necessary type and save them.

Taak

Swipe to start coding

  1. Define a lambda function with a single argument x that will look for and delete any of the characters '$°C%' from both the left and right sides (using the .strip() method). Assign the function to the rm variable.
  2. Apply the rm function to the 'Fuel_Price' column and then convert it to numerical type (float) using the .astype() method. Assign the obtained result to the same column.
  3. Perform the same actions described in the step 2 for the 'Unemployment' column.
  4. Perform the same actions described in the step 2 for the 'Temperature' column.
  5. Display the first row of the df dataframe and data types of the df dataframe.

Oplossing

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Was alles duidelijk?

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Sectie 1. Hoofdstuk 5
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book
Removing Characters: Method 2

As mentioned, there are two ways to remove a character from all column values. The second method uses a lambda function. How does it work? You define a lambda function that removes a certain character/characters from a function variable, and apply it to the selected column. Then you convert obtained values to the necessary type and save them.

Taak

Swipe to start coding

  1. Define a lambda function with a single argument x that will look for and delete any of the characters '$°C%' from both the left and right sides (using the .strip() method). Assign the function to the rm variable.
  2. Apply the rm function to the 'Fuel_Price' column and then convert it to numerical type (float) using the .astype() method. Assign the obtained result to the same column.
  3. Perform the same actions described in the step 2 for the 'Unemployment' column.
  4. Perform the same actions described in the step 2 for the 'Temperature' column.
  5. Display the first row of the df dataframe and data types of the df dataframe.

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 1. Hoofdstuk 5
Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
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