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Impara Calculating the Number of Missing Values | Preprocessing Data
Advanced Techniques in pandas
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Contenuti del Corso

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.

Compito

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.

Soluzione

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Tutto è chiaro?

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Sezione 5. Capitolo 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.

Compito

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.

Soluzione

Switch to desktopCambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti
Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 5. Capitolo 2
Switch to desktopCambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti
Siamo spiacenti che qualcosa sia andato storto. Cosa è successo?
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