Create a pandas dataframe

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Reference no: EM133756653

Follow the instructions to complete the installation.

Select a dataset from the Data.gov website located in the Learning Resources.

To complete the Lab:

Perform the following tasks:

Install Anaconda Python distribution.
Create a folder for data and codes on your computer.
Launch Jupyter Notebook from the Anaconda Navigator.
Import Pandas into your Jupyter notebook.
Using the dataset you selected from data.gov, perform a basic data analysis using Pandas (a Python library).
Create a Pandas DataFrame.
Examine the dataset.
Consider the methods you used to preprocess, clean, or explore the data and why you chose them.
Show descriptive statistics about the dataset in your code project.
Ask at least two questions about the dataset.
Select and use at least four Pandas functions and display the results.
Consider the findings of the four Pandas functions you used.
Write the results to the folder created.
Save your Jupyter notebook to the folder you created.
In a 5- to 6-page paper in APA format:

Question 1: Describe the methods you used to preprocess, clean, or explore the data and why you chose them.

Question 2: Explain the findings of the four Pandas functions you used on the dataset and include a screenshot of the results.

Review this week's Learning Resources.
Consider reviewing the suggested Python installation and troubleshooting links in the Optional Resources found in this week's Learning Resources.

Reference no: EM133756653

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