Scripts and code for the assignment 3 of Data Visualization
Create a reproducible report of an exploratory data analysis with several visualizations:
- Download the data from the course website
- Choose a subset of the attributes in the datasets and analyze that portion of the data
- Prepare a reproducible, standalone HTML report in R or Python containing at least 6 visualizations
- Submit the result HTML file and the source file (.Rmd or .ipynb)
- [Optionally you can prepare an additional PDF version of the report; the HTML version is still required]
- If you have questions about the dataset, ask the lecturer
Expected elements:
- university logo or monogram (https://www.put.poznan.pl/siw; probably 03_ or 06_)
- clean, elegant theme and/or custom CSS
- interactive (i.e. with links) table of contents
- executive summary
- six or more high quality, cohesive visualizations (think about the consistent use of color, select appropriate palettes, avoid chart clutter, try to show data variation, try to tell a story if you find interesting patterns, don't rely on plotting library defaults if something can be improved)
- short description of each visualization
- optionally some description of your findings
- where appropriate, use animations or javascript-based plots to add some interactivity
- the report should be a standalone document; no server, no external resources, no accompanying folders
Other remarks:
Your focus is to create engaging high-quality plots; the more interesting things you find in the data, the more interesting plots you'll be able to create