Preparing to Integrate Data from Additional Sources
Explore how to prepare and integrate multiple datasets for data storytelling by ensuring consistency in data types and handling missing values. Understand best practices to visualize combined data, enabling clearer comparisons of trends across sources using Python visualization tools.
We'll cover the following...
Importing or integrating data from additional sources can help add value and context to data storytelling narratives. This activity needs to be done carefully—data storytelling requires us to be clear about which narrative components are objective truth and assumptions. When integrating additional data sources, effective data storytellers take extra care to make these differentiations and be cautious before making broader claims around relationships and causal contexts of events.
Example: Stock and GDPR
In this section, we'll look at two datasets centered around stock and GDPR to identify how we could integrate the data.
Visualizing the Dow Jones dataset
Let's take a look at the Dow Jones dataset from Seaborn, which contains the Dow Jones Industrial Stock Price Index for the United States. ...