Data Lab Part 1

Opperjn
Curious Thought Company
2 min readFeb 26, 2021
The line chart above depicts the growth of three email domains (gmail, Yahoo, AOL) from 2004- present

In the line chart above it depicts the growth and fall of three major electronic mail (email) platforms from the year 2004 to the present. While Gmail struggled compared to it’s Yahoo and AOL counterparts in it’s infancy, by the year 2006 it’s public interest began to steadily rise.

When we take a closer look it is interesting to note that at the beginning of 2004 AOL was one of the more popular email domains, until Yahoo and Gmail took over in popularity. The later two seemed to rise with one another until 2010 when Yahoo began a sharp decline, and Gmail rose to the top as the most popular email domain.

The pie charts above explains how the test scores 160/200 and 25.6/32 result in the same percentage

In the pie charts above, it depicts two separate tests done with the same classes. In test one, the exam had 200 questions, with 80% of the class correctly answering 160 of those questions. 40% had received a lower score. In test two, you can see that the exam had 32 total questions with 80% of the class getting 25.6 right, and 6.4% of the class receiving a lower grade. Without any kind of visual imagery, these numbers can seem deceiving with such a great distance between them, but when calculated both exams have a mean of 80%.

A glimpse of two different quarterback performances during the 2018 NFL season

In the bar graph above, we have stats from two players at opposite ends of the NFL spectrum. Josh Rosen, who had a very poor performance in 2018 as outlined by his stats of the game, and also Drew Brees who had a successful year. Two of the most striking differences that first catch your eye is the number of touchdowns which Rosen had 11, while Brees had 32 overall, and also the quarter back ratings which Rosen had 66.7, while Brees was substantially higher at 115.7. With all of these details, the data presents a portrait of two very different players in the game.

A fluctuation of economic growth and disparity

The graph above explores the fluctuating change in US job growth during different decades, and how a string of recessions affected these numbers. When looking at the graph a kind of ebb and flow becomes apparent as jobs rise back up in numbers for typically a period of a few years in between recessions. The most profound change of the number of jobs can be seen during the 2008–2009 recession when over 6 million people had lost their source of income.

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