Sveip for å vise menyen

Explore the Dataset

Before you start, it's important to take a look at the data you'll work with. There is a list of useful methods which can be applied to the pandas dataframes:


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# info about the dataframe shape, data types
data.info()
# the size of the dataframe
data.shape
# list of the columns
data.columns 
# returns all distinct values containing in the column called ColumnName
data['ColumnName'].unique() 
# returns the metrics: mean, mode, min, max etc.
data.describe() 

# returns top 5 rows
data.head() 
# returns top 10 rows (or any other number you'll pass)
data.head(10) 
# returns bottom 5 rows
data.tail() 
# returns bottom 10 rows (or any other number)
data.tail(10) 
# returns 10 random rows
data.sample(10)

Oppgave

Swipe to start coding

For given dataset data, extract and print 5 rows using sample() function.

Find all the columns' names and put them to the cols variable.

Find the unique values for each column and output these values.

Løsning

Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor

Alt var klart?

Takk for tilbakemeldingene dine!

Seksjon 1. Kapittel 2

Spør AI

Spør om hva du vil, eller prøv ett av de foreslåtte spørsmålene for å starte chatten vår

Explore the Dataset

Before you start, it's important to take a look at the data you'll work with. There is a list of useful methods which can be applied to the pandas dataframes:


              123456789101112131415161718192021
            
# info about the dataframe shape, data types
data.info()
# the size of the dataframe
data.shape
# list of the columns
data.columns 
# returns all distinct values containing in the column called ColumnName
data['ColumnName'].unique() 
# returns the metrics: mean, mode, min, max etc.
data.describe() 

# returns top 5 rows
data.head() 
# returns top 10 rows (or any other number you'll pass)
data.head(10) 
# returns bottom 5 rows
data.tail() 
# returns bottom 10 rows (or any other number)
data.tail(10) 
# returns 10 random rows
data.sample(10)

Oppgave

Swipe to start coding

For given dataset data, extract and print 5 rows using sample() function.

Find all the columns' names and put them to the cols variable.

Find the unique values for each column and output these values.

Løsning

Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor

Alt var klart?

Takk for tilbakemeldingene dine!

Seksjon 1. Kapittel 2

Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor