Business Intelligence Visualizations with Python

Business Intelligence Visualizations with Python

As a follow up of the first article, I prepared an extensive guide to display customized features to the already introduced plots. Business Intelligence Visualizations with Python as a follow up of the first article, I prepared an extensive guide to display customized.

“There is no such thing as information overload. There is only bad design.”

Edward Tufte

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**](https://matplotlib.org/), 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

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