Create at least 5 different exploratory visualizations using the data (i.e. do not submit 5 simple column charts, the idea is to practice creating different types of visuals and determining the best fit).

The project has two parts that are meant to demonstrate the value of data visualization techniques in the data analysis process. It will bring together data sets and wrangling, discovery, creating graphs and de-cluttering, knowing your audience, and telling the story along the way!
Dataset: use the LA Crime dataset (attached)
Part One: Exploratory Visualizations. What are the best types of graphs/charts to use to tell a story of the data? (bar, column, cluster, histogram, treemap, pie, etc).
• Create at least 5 different exploratory visualizations using the data (i.e. do not submit 5 simple column charts, the idea is to practice creating different types of visuals and determining the best fit).
• Use different data points for your visuals (i.e. do not submit a bar chart, a column chart and a pie chart using the exact same data points).
• Then, complete the Exploratory Form Attached to share the visuals and explain why the visualizations were considered. Be thorough, I’m looking for a short paragraph on each.
Part Two: Presentation Slideshow. Next, produce a short video (2-3 minutes) that illustrates interesting relationships and trends that you discovered in your exploratory analysis. This presentation should include polished visualizations meant to be presented to an audience.
Final Project includes:
1. Exploratory Visualization Submission Report
2. Presentation: include scatterplot in addition

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