Author: Jonathan Moo

In this lesson today, we will be practicing more on how we can collect data from APIs. Objectives For Today APIs and Geospatial Data Visualization Context Today’s lesson is about visualizing a real-world phenomenon:...

We have explored how we can get data out of APIs in the previous lesson. Today, we will dive deep on collecting data from APIs, and how we can get value out of it. It is a lot more practice today with real-world data and APIs....

Here we are introducing data collection through APIs, one of the most common ways of getting data from the internet. Knowing how to use APIs will be key for data profiling and performing exploratory data analysis (EDA). Intro To...

We did summarized statistics a few weeks back, and we are translating what we learned from Excel into Jupyter Notebooks. Lesson 1.2 – Measures of central tendency Lesson 1.3 – Variance, Standard Deviation, and...

Today there is a lot of practice with plotting rather than learning new things. We are moving from pre-generated data to actual real-world data in our visualizations. Students Do: PyPlot Warmup Let’s open up the file(s) in...