Pyyhkäise näyttääksesi valikon

Replace Categorical Missing Data with Values

To deal with categorical data:

replace with some constant or the most popular value
create a new category for these values. -process the data after converting it to the numerical. We'll use this approach later.

Let's explore for each column Cabin and Embarked(these columns contain NaNs) and figure out how to proceed with the NaNs.

Tehtävä

Swipe to start coding

Explore the share of NaNs for each of the given columns. Print these values.
For Embarked column, simply drop the missing values, since there are only 2 rows containing it.
For the Cabin, about 77% of data is missing (if everything is done correct). That's why we'll replace NaNs with some new value. To do that:

print all the unique values for the Cabin column.
choose any other vlaue except already presented in the Cabin column and replace all NaNs with it. (For example, it can be 'Z' or 'X').

Check some data samples to see the modified dataframe.

Vaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista

Oliko kaikki selvää?

Kiitos palautteestasi!

Osio 2. Luku 5

Kysy tekoälyä

Kysy mitä tahansa tai kokeile jotakin ehdotetuista kysymyksistä aloittaaksesi keskustelumme

To deal with categorical data:

replace with some constant or the most popular value
create a new category for these values. -process the data after converting it to the numerical. We'll use this approach later.

Let's explore for each column Cabin and Embarked(these columns contain NaNs) and figure out how to proceed with the NaNs.

Tehtävä

Swipe to start coding

Explore the share of NaNs for each of the given columns. Print these values.
For Embarked column, simply drop the missing values, since there are only 2 rows containing it.
For the Cabin, about 77% of data is missing (if everything is done correct). That's why we'll replace NaNs with some new value. To do that:

print all the unique values for the Cabin column.
choose any other vlaue except already presented in the Cabin column and replace all NaNs with it. (For example, it can be 'Z' or 'X').

Check some data samples to see the modified dataframe.

Vaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista

Oliko kaikki selvää?

Kiitos palautteestasi!

Osio 2. Luku 5

Vaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista