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Data Analysis Using Python

๐Ÿ”ท In this project, I show how to work on a real project of Data Analysis with Python.

๐Ÿ”ท Questions are given in the project and then solved with the help of Python.

๐Ÿ”ท It is a project of Data Analysis with Python or Data Science with Python.

The commands that I used in this project :

๐Ÿ”ด head() - It shows the first N rows in the data (by default, N=5).

๐Ÿ”ด shape - It shows the total no. of rows and no. of columns of the data frame

๐Ÿ”ด index - This attribute provides the index of the data frame

๐Ÿ”ด columns - It shows the name of each column

๐Ÿ”ด dtypes - It shows the data type of each column

๐Ÿ”ด describe() - it is used for calculating some statistical data like percentile, mean and std of the numerical values of the series or dataFrame.

๐Ÿ”ด unique() - In a column, it shows all the unique values. It can be applied to a single column only, not on the whole dataframe.

๐Ÿ”ด nunique() - It shows the total no. of unique values in each column. It can be applied on a single column as well as to the whole dataframe.

๐Ÿ”ด count - It shows the total no. of non-null values in each column. It can be applied on a single column as well as on the whole data frame.

๐Ÿ”ด value_counts - In a column, it shows all the unique values with their count. It can be applied to a single column only.

๐Ÿ”ด info() - Provides basic information about the dataframe.

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