Pandas and CSV - (4/4)
The Jupyter notebook imports the necessary libraries and converts the CSV to a Pandas DataFrame.
Implementation of visualizations in spec. (4/4)
Implementation of visualizations in spec. | The Jupyter notebook renders all Seaborn and Matplotlib visualizations and content provided in the design specification.
Color (3/4)
Color in visualizations has meaning, but you definitely could have played around with color a bit more to add more of an intriguing story to your data.
Style (3/4)
The chart labels and titles are custom and easy to read.
Presentation and framing of visualizations (4/4)
Presentation cohesively presents every chart and has an appropriate description for each, with further research outlined in the notes.
aca01
commented
6 years ago
Pandas and CSV - (4/4) The Jupyter notebook imports the necessary libraries and converts the CSV to a Pandas DataFrame.
Implementation of visualizations in spec. (4/4) Implementation of visualizations in spec. | The Jupyter notebook renders all Seaborn and Matplotlib visualizations and content provided in the design specification.
Color (3/4) Color in visualizations has meaning, but you definitely could have played around with color a bit more to add more of an intriguing story to your data.
Style (3/4) The chart labels and titles are custom and easy to read.
Presentation and framing of visualizations (4/4) Presentation cohesively presents every chart and has an appropriate description for each, with further research outlined in the notes.