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Lära That's All? | Preprocessing Data: Part II
Analyzing and Visualizing Real-World Data
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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!

Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 2. Kapitel 6
Vi beklagar att något gick fel. Vad hände?
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