“There is no such thing as information overload. There is only bad design.”
**Data visualization **is increasingly being seen as the essential step of any successful data-driven analytics strategy. Furthermore, as mentioned in my previous article related to the subject, is one of the most powerful tools in the set available to data analysts or data enthusiasts. Therefore, we must dedicate time to create stunning graphs and visualizations to carefully and clearly communicate our story and findings hidden in structured data.
Last week, we talked about how important data visualizations are and I introduced to different plot types such as:
- Line Plots and subplots.
- Side-by-side Bar Chart.
- Stacked Bars Chart.
- Pie Chart
- Histograms.
- Stacked and Percentage Stacked Plots.
In this opportunity, I’ll give you more insights on how to display customized charts with **Python **and Matplotlib, the plotting library that has some neat tools to enable the creation of beautiful and flexible charts.
#data-analysis #data-science #programming #python #data-visualization
