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Apprendre That's All? | Preprocessing Data: Part II
Analyzing and Visualizing Real-World Data
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Contenu du cours

Analyzing and Visualizing Real-World Data

Analyzing and Visualizing Real-World Data

1. Preprocessing Data: Part I
2. Preprocessing Data: Part II
3. Analyzing Data
4. Visualizing Data

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That's All?

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

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

Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

Section 2. Chapitre 6
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