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Lære Calculating the Number of Missing Values | Preprocessing Data
Advanced Techniques in pandas
course content

Kursusindhold

Advanced Techniques in pandas

Advanced Techniques in pandas

1. Getting Familiar With Indexing and Selecting Data
2. Dealing With Conditions
3. Extracting Data
4. Aggregating Data
5. Preprocessing Data

book
Calculating the Number of Missing Values

It should be noted that it isn't convenient to check each value of the dataset for the NaN. It is more convenient to see the number of missing values to conclude columns where we have NaNs. As you remember, we have two functions to check for the missing values. To calculate the sum, just use the .sum() function. Thus, in general, we have 2 options for outputting the number of NaNs for each column:

python

Okay, nothing complicated. Let's move on the task.

Opgave

Swipe to start coding

  1. Calculate the number of missing values for the dataset using one of the mentioned functions.
  2. Output the result.

Try to draw your own conclusions.

Løsning

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Var alt klart?

Hvordan kan vi forbedre det?

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Sektion 5. Kapitel 2
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book
Calculating the Number of Missing Values

It should be noted that it isn't convenient to check each value of the dataset for the NaN. It is more convenient to see the number of missing values to conclude columns where we have NaNs. As you remember, we have two functions to check for the missing values. To calculate the sum, just use the .sum() function. Thus, in general, we have 2 options for outputting the number of NaNs for each column:

python

Okay, nothing complicated. Let's move on the task.

Opgave

Swipe to start coding

  1. Calculate the number of missing values for the dataset using one of the mentioned functions.
  2. Output the result.

Try to draw your own conclusions.

Løsning

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 5. Kapitel 2
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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