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Please enable JavaScript in your browser settings or update your browser.Challenge | Preprocessing Data: Part II
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 replace missing values in the 'morgh', 'valueh' with their respective means.

Tarea

  1. Create a dictionary values with keys being column names ('grosrth', 'valueh') and values being their respective means.
  2. Fill NA values using created previously dictionary values. Set the inplace parameter so changes will save.

Tarea

  1. Create a dictionary values with keys being column names ('grosrth', 'valueh') and values being their respective means.
  2. Fill NA values using created previously dictionary values. Set the inplace parameter so changes will save.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Sección 2. Capítulo 8
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Challenge

Let's replace missing values in the 'morgh', 'valueh' with their respective means.

Tarea

  1. Create a dictionary values with keys being column names ('grosrth', 'valueh') and values being their respective means.
  2. Fill NA values using created previously dictionary values. Set the inplace parameter so changes will save.

Tarea

  1. Create a dictionary values with keys being column names ('grosrth', 'valueh') and values being their respective means.
  2. Fill NA values using created previously dictionary values. Set the inplace parameter so changes will save.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Sección 2. Capítulo 8
toggle bottom row

Challenge

Let's replace missing values in the 'morgh', 'valueh' with their respective means.

Tarea

  1. Create a dictionary values with keys being column names ('grosrth', 'valueh') and values being their respective means.
  2. Fill NA values using created previously dictionary values. Set the inplace parameter so changes will save.

Tarea

  1. Create a dictionary values with keys being column names ('grosrth', 'valueh') and values being their respective means.
  2. Fill NA values using created previously dictionary values. Set the inplace parameter so changes will save.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Let's replace missing values in the 'morgh', 'valueh' with their respective means.

Tarea

  1. Create a dictionary values with keys being column names ('grosrth', 'valueh') and values being their respective means.
  2. Fill NA values using created previously dictionary values. Set the inplace parameter so changes will save.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 2. Capítulo 8
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
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