I am a graduate in environmental sciences skilled in data analysis. I specialize in using Python for exploratory data analysis and data visualization. I am also proficient in using Power Query (Excel, Power BI) to clean and reshape data tables. Here are some Python data visualization problems I have helped people solve:

Basic plots that cannot (yet) be easily created with the common Python plotting libraries:

• Bar chart of hierarchical groups
• Balloon plot (aka categorical bubble plot)
• Dot plot
• Combined bar chart and line plot with pandas

Customization of certain graph components:

• Legend keys and labels
• Tick marks
• Combining two scales on the same axis

Some more elaborate figures:

• Overview of all scipy.stats probability distributions in a single figure
• Visualization of intraday stock market data
• Highlighting weekends in time series displayed with small multiples
• Reorganizing data and creating a plotting function to visualize different datasets
• Grouped boxplots with two y-axes
• Figure with an inset