The data set provided deals with world temperatures and comes from NASA.

Here's the Chart

Callouts

• The goal of this visualization is to clearly communicate to the viewer that global temperatures are on the rise so I labeled my x and y axes and included a title and legend for this chart.
• The technology I used was python3 (pandas, matplotlib, seaborn).
• I used the full sample of the data and when plotting decided it would look less noisy if I included a 5-year moving average calculation in addition to the raw values.
  • I differentiated this from the actual values by increasing the width of the line as opposed to using different colors. I like this method because it preserves the noisiness of the data but makes the visualization more easily interpretable to the viewer.
• Overall, this visualization clearly shows that global temperatures are on the rise, especially since around 1980.