How to analyze data using Python Programming Language

Using Python to develop, build, and roll out more applications and flexible database applications can be very interesting. In fact, Python is really a versatile language, helping many users nationwide.

To analyze the data, find the below:

You will need to update your library using Seaborn to visualize the distribution of a variable in the Titanic dataset:

1. import seaborn as sns
3. #load the titanic dataset
4. df = sns.load_dataset(‘titanic’)
6. #perform univariate analysis on the ‘survived’ variable
7. countplot(x=’survived’ , data=df)

This will enable and allow the user to create a count plot of the survived variable, which can also help you, as a user, comprehend or understand the distribution of the variable and answer simple questions about the data.

Meanwhile, it should be noted that the above code simplifies an example of the above-stated question on data analysis. Search for the next comprehensive practical question and solution in our next exhibitions and publications.

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