WHAT IS DATA VISUALIZATION?
Data visualization refers to presenting data in a graphical manner, such as bar charts, line graphs, heat maps, and many other specialized representations. As you probably know, big data comprises massive amounts of data, which leverages data visualization tools to assist in making better decisions.
A key role for good data visualization is to tell a meaningful story, which in turn focuses on useful information that resides in datasets that can contain many data points (i.e., billions of rows of data). Another aspect of data visualization is its effectiveness: how well does it convey the trends that might exist in the dataset?
There are many open source data visualization tools available, some of which are listed here (many others are available):
- Matplotlib
- Seaborn
- Bokeh
- YellowBrick
- Tableau
- D3.js (JavaScript and SVG)
Incidentally, in case you have not already done so, it would be helpful to install the following Python libraries (using pip3) on your computer...
