Question: Setup: Create a new Python script and name it data _ analysis.py . Import and install the necessary libraries, i . e . , Pandas,

Setup: Create a new Python script and name it data_analysis.py.
Import and install the necessary libraries, i.e., Pandas, Numpy, and Matplotlib.
Dataset Creation: Create a dataset of your choice.
This dataset must contain at least 4 columns and 10 items/entries.
Refer to Resource 1 for guidance on how you can create your dataset.
Statistical Analysis: Conduct a descriptive statistical analysis on your dataset using Pandas.
Compute the mean, median, mode, and standard deviation for some columns in your dataset.
Include comments in your code to explain the purpose of each line.
Data Visualization: Utilize Matplotlib to create a histogram for at least one of your columns, allowing you to visualize the data distribution in your dataset.
Make sure to comment on your code, explaining the purpose of the plot.
Setup: Create a new Python script and name it

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