Visualization ideas to avoid overlapping lines in the multiple time-series plot — Dr. Strange, a fictional character, is my favorite superhero. One of his incredible abilities is seeing the possibilities of events. It would be cool if I could see many things simultaneously like him. In fact, I can do that without having any superpower. …

Using Python to visualize the changes in rank over time — Ranking data is ordering data position in a numerically ordered series. This is an easy way to communicate the information since it helps the reader effortlessly understand the sequence. The ranking is a good idea for coping with multiple observations or categorical data. However, things change all the time. As…

Plotting radar charts with each Generation theme using Python Pokemon is a big part of my childhood. Every time I see pocket monsters, they bring back a good memory from anime and video games. With the latter, I spent some time with the stat screen when I played the games…

Simple ideas using a few lines of Python code to deal with a long time-series plot — Typically, a time-series plot consists of an X-axis representing the timeline and a Y-axis showing data values. This visualization is common in showing the progress of data over time. It has some benefits in extracting insight information such as trends and seasonal effects. There is a concern when dealing with…

Mix and match plots to get more information from a scatter plot — I'm a big fan of superhero movies. Typically, many superheroes have extraordinary abilities, bodies, or powers. However, some superheroes are just ordinary guys, for example, Tony Stark (aka Iron man). The thing that makes him a superhero is the Iron man's armor. By suiting up with the equipment, he can…

Creating alternatives with Python to use instead of pie charts — A pie chart is a typical graph for showing the proportions of categorical data. Basically, this is a circular graphic divided into slices to display the proportional contribution of data compared to a total. The areas can be expressed in percentages by calculating the total 360 degrees equal to 100%. …

Creating eye-catching graphs with Python to use instead of bar charts. — A bar chart is a 2-dimensional graph with rectangular bars on the X or Y-axis. We use the rectangular bars to compare values among discrete categories by comparing their heights or lengths. This chart is typical in data visualization since it is simple to create and easy to understand. However…

Visualizing sea ice concentration with scatter plot and heat map — Climate change, a global phenomenon, impacts Earth’s weather patterns. It produces consequences such as deserts expanding and heat waves becoming more frequent. The increased temperature in the Arctic has also contributed to melting permafrost and sea ice loss. Let’s talk about the sea ice. Polar amplification is a phenomenon in…

Creating your own and unique list of colors — Why are the colors important? Colors help get people’s attention at first sight. They are helpful in communicating messages, for example, using red and blue colors to express high and low temperatures or green and red colors to demonstrate financial values. Colors also have some benefits in data visualization. Using…