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Lære Challenge | Grouping Data
Data Manipulation using pandas
course content

Kursusindhold

Data Manipulation using pandas

Data Manipulation using pandas

1. Preprocessing Data: Part I
2. Preprocessing Data: Part II
3. Grouping Data
4. Aggregating and Visualizing Data
5. Joining Data

book
Challenge

Let's find out how many dwellings of each type are in the dataframe. Below the task description you can find code meanings.

Opgave

Swipe to start coding

  1. Group the values of the df dataframe by the 'dtypeh' column values.
  2. Get the number of rows (size) within each group.

Løsning

DESCRIPTIONCODE
Single-detached house1
Apartment in build. 5+ storeys2
Apartment in build. <5 storeys3
Semi-detached house4
Apartment in a detached duplex5
Row house6
Other single-attached house7
Mobile home or other movable8

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 3. Kapitel 3
toggle bottom row

book
Challenge

Let's find out how many dwellings of each type are in the dataframe. Below the task description you can find code meanings.

Opgave

Swipe to start coding

  1. Group the values of the df dataframe by the 'dtypeh' column values.
  2. Get the number of rows (size) within each group.

Løsning

DESCRIPTIONCODE
Single-detached house1
Apartment in build. 5+ storeys2
Apartment in build. <5 storeys3
Semi-detached house4
Apartment in a detached duplex5
Row house6
Other single-attached house7
Mobile home or other movable8

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 3. Kapitel 3
Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Vi beklager, at noget gik galt. Hvad skete der?
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