Choose one of David Robinson’s tidytuesday screencasts, watch the video, and summarise. https://www.youtube.com/channel/UCeiiqmVK07qhY-wvg3IZiZQ
The title of the screencast is bike frequencies in Seattle.
This was published April 5 2019.
Hint: What’s the source of the data; what does the row represent; how many observations?; what are the variables; and what do they mean?
David Robinson used the Seattle Department of Transportation for this data. The variables for the data are date, crossing, direction, bike count, and pedestrian count. Date is the date of the data upload, crossing is the street where the bikers were recorded, direction are the compass directions the bikers were going, bike count was the number of bikes counted in an hour window, pedestrian count are the number of pedestrians counted in an hour window
Hint: For example, importing data, understanding the data, data exploration, etc.
The way Dave approached the analysis was really interesting. He went really in depth with the data.
It was really awesome to see that I knew alot more about rmarkdown than I originally thought I did. When he used different functions to call data I understood for a large part what he was doing. Or when he made graphs to represent the data, I knew how to make the graphs. Though more importantly I knew how to interpret the data of the graph he created.
A major finding from this analysis was that the greatest percent of yearly bike trips in Seattle took place in the month of july. ## Q8 What is the most interesting thing you really liked about the analysis.
The part I found most interesting was the graph he made. It was a line chart that displayed the data really clearly.