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Aprenda Explore the Dataset | Data Exploration
Preprocessing Data
course content

Conteúdo do Curso

Preprocessing Data

Preprocessing Data

1. Data Exploration
2. Data Cleaning
3. Data Validation
4. Normalization & Standardization
5. Data Encoding

book
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)
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Tarefa

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.

Solução

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Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 1. Capítulo 2
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book
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)
copy
Tarefa

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.

Solução

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 1. Capítulo 2
Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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