Findings 1:

When looking at all community area in Chicago, I find it interesting that there are some gaps during the end of January, the start of April, the end of May, the start of July, the start of September, and the end of November. There are also minor gaps in the graph which might be because of low ridership during weekends.

Findings 2:

Looking at this insight backs up our theory about the second part of insight 1. There are low ridership data in Chicago during weekends and highest ridership on Thursdays and Fridays as can be seen on the bar graph and data table.

Findings 3:

Here we are looking data from only the Loop. When we look at 8 AM, 9 AM, 4 PM and 5 PM, there is a relative spike in ridership compared to the other times around those specific time of the day. This can be explained by the fact that those are rush-hour times.

Findings 4:

Here we are looking at data from only the Loop. The majority of the rides are between 0.8 and 2 Kilometers. This might be because the customers are mostly traveling within the loop.

Findings 5:

Here we are looking at data from only the Loop. The majority of the rides are between 5 and 10 minutes. This furthermore supports our claims from insight 4 that most of the riders in the loop are traveling small distances and possibly within the loop.

Here we are looking at data from only the Loop. The previous two insights can be furthermore supported as about 1/4 of the riders are traveling within the loop.

Findings 6:

Here we are looking at data from only the Loop. As we can see from the map, most of the riders who take the taxi from the loop don't travel much farther than the loop if not within the loop.