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Data Manipulation using pandas
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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

Challenge

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

Tarefa

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

Tarefa

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

Tudo estava claro?

Seção 3. Capítulo 3
toggle bottom row

Challenge

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

Tarefa

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

Tarefa

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

Tudo estava claro?

Seção 3. Capítulo 3
toggle bottom row

Challenge

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

Tarefa

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

Tarefa

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

Tudo estava claro?

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

Tarefa

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

Seção 3. Capítulo 3
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