A table chart combines a bar chart and a table. In order to understand the table chart, let's consider the following dataset. Consider standard LED bulbs that come in different wattages. The standard Philips LED bulb can be 4.5 Watts, 6 Watts, 7 Watts, 8.5 Watts, 9.5 Watts, 13.5 Watts, and 15 Watts. Let's assume there are two categorical variables, the year and the wattage, and a numeric variable, which is the number of units sold in a particular year.
Now, let's declare variables to hold the years and the available wattage data. It can be done as shown in the following snippet:
# Years under consideration
years = ["2010", "2011", "2012", "2013", "2014"]
# Available watt
columns = ['4.5W', '6.0W', '7.0W','8.5W','9.5W','13.5W','15W']
unitsSold...
