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Please enable JavaScript in your browser settings or update your browser.Challenge | Preprocessing Data: Part II
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

Challenge

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

Task

  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.

Task

  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.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 2. Chapter 8
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Challenge

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

Task

  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.

Task

  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.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 2. Chapter 8
toggle bottom row

Challenge

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

Task

  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.

Task

  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.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

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

Task

  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.

Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 8
Switch to desktop for real-world practiceContinue from where you are using one of the options below
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