![]() You can find a list of recommended datasets here: Step 2: Perform data preparation & cleaning Here's some sample code for downloading the US Elections Dataset: import opendatasets as od ![]() ![]() Download the dataset using the opendatasets Python library.The data should be in CSV format, and should contain at least 3 columns and 150 rows. ![]() Find an interesting dataset on this page:.copy-pasted for somewhere else.įollow this step-by-step guide to work on your project. Your work must not be plagiarized i.e.Your submission must include explanations using markdown cells, apart from the code.Your submission must include at least 4 visualizations (graphs).You must ask and answer at least 4 questions about the dataset.Dataset must contain at least 3 columns and 150 rows of data.Your submission will be evaluated using the following criteria: Focus on documentation and presentation - this Jupyter notebook will also serve as a project report, so make sure to include detailed explanations wherever possible using Markdown cells. Use this starter notebook as an outline for your project. You will pick a real-world dataset of your choice and apply the concepts learned in this course to perform exploratory data analysis. This is the starter notebook for the course project for Data Analysis with Python: Zero to Pandas. Data Analysis with Python: Zero to Pandas - Course Project Guidelines (remove this cell before submission)
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