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Please enable JavaScript in your browser settings or update your browser.Learn That's All? | Preprocessing Data: Part II
Analyzing and Visualizing Real-World Data

bookThat's All?

So, seems like all the columns are fine now. Let's double-check if we have converted dates properly.


              
123456789101112131415

            
# Loading the library
import pandas as pd

# Reading the data
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/72be5dde-f3e6-4c40-8881-e1d97ae31287/shops_data3.csv')

# Displaying first four dates before converting
print(df['Date'].head(4))

# Change column type
df['Date'] = pd.to_datetime(df['Date'], dayfirst = True)

# Displaying first four dates and dtypes of dataframe
print(df['Date'].head(4))
print(df.dtypes)
copy

Yes, this time everything seems to be fine. Dtypes of the dataframe are appropriate, so we are ready to make some analysis and visualizing!

Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 2. ChapterΒ 6

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So, seems like all the columns are fine now. Let's double-check if we have converted dates properly.


              
123456789101112131415

            
# Loading the library
import pandas as pd

# Reading the data
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/72be5dde-f3e6-4c40-8881-e1d97ae31287/shops_data3.csv')

# Displaying first four dates before converting
print(df['Date'].head(4))

# Change column type
df['Date'] = pd.to_datetime(df['Date'], dayfirst = True)

# Displaying first four dates and dtypes of dataframe
print(df['Date'].head(4))
print(df.dtypes)
copy

Yes, this time everything seems to be fine. Dtypes of the dataframe are appropriate, so we are ready to make some analysis and visualizing!

Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 2. ChapterΒ 6
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