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Data Manipulation using pandas
course content

Course Content

Data Manipulation using pandas

Data Manipulation using pandas

1. Preprocessing Data: Part I
What is Data Preprocessing?Types consistencyPoor Data PresentationManipulating StringsChallengeReplacing Specific ElementsSimultaneous ReplacementChallenge
2. Preprocessing Data: Part II
Logical InconsistencyRemoving RowsChallengeOutliersChallengeMissing ValuesFilling NA valuesChallenge
3. Grouping Data
What is Grouping Data?Grouping in pandas [1/2]ChallengeGrouping in pandas [2/2]ChallengeGrouping by Several ColumnsChallenge
4. Aggregating and Visualizing Data
Advanced Aggregation [1/2]ChallengeAdvanced Aggregation [2/2]ChallengeHistogramsChallengeBar and Scatter PlotsOther Types of GraphsChallenge 1Challenge 2
5. Joining Data
What is Joining Data?Left JoinRight JoinInner JoinOuter JoinConcatenation

bookChallenge

Practice grouping data by finding out average prices for each dwelling type.

Task
test

Swipe to show code editor

  1. Group the data in the df dataframe by the values of the 'dtypeh' column.
  2. Select the 'valueh', 'grosrth' columns.
  3. Calculate mean values across groups.
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

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Section 3. Chapter 5
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bookChallenge

Practice grouping data by finding out average prices for each dwelling type.

Task
test

Swipe to show code editor

  1. Group the data in the df dataframe by the values of the 'dtypeh' column.
  2. Select the 'valueh', 'grosrth' columns.
  3. Calculate mean values across groups.
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 desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 3. Chapter 5
toggle bottom row

bookChallenge

Practice grouping data by finding out average prices for each dwelling type.

Task
test

Swipe to show code editor

  1. Group the data in the df dataframe by the values of the 'dtypeh' column.
  2. Select the 'valueh', 'grosrth' columns.
  3. Calculate mean values across groups.
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 desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Practice grouping data by finding out average prices for each dwelling type.

Task
test

Swipe to show code editor

  1. Group the data in the df dataframe by the values of the 'dtypeh' column.
  2. Select the 'valueh', 'grosrth' columns.
  3. Calculate mean values across groups.
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 desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 3. Chapter 5
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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