Visualizing data using Interactive Tables (Part 1)

One step closer to Data Story Telling

Source: Plotly [1]

One of the key roles of a Data Scientist/Consultant is to present the data or findings in an easily understandable format. I have seen various instances where showing data into a tabular format was given preference over showing a lot of numbers just on some graphs.

Even on the dashboards in certain scenarios data looks more meaningful with a combination of tabular format and graphs.

Visualization is daydreaming with a purpose.
-Bo Bennett

There are a lot of ways to visualize data in a tabular format but in this article, we are going to learn it using Plotly.

Plotly Table

Plotly [1] is an organization that provides a lot of interactive visualization tools. In this article, we will utilize the Plotly's table visualization.

Step 1: Installation

First, let’s install the plotly and pandas package.

pip install plotly pandas

Step 2: Necessary Imports

import plotly.graph_objects as go
import pandas as pd

Step 3: Loading Data into a pandas data frame from a source