This week, I have finished revising my R skills.
Now I have started working on analyzing the police killings data in correlation to the bodycams.
By the end of next week, I plan to post what I have found so far.
This week, I have finished revising my R skills.
Now I have started working on analyzing the police killings data in correlation to the bodycams.
By the end of next week, I plan to post what I have found so far.
This week, we mainly looked at some useful ways we can use R.
This week helped a lot, because even though I am fairly good at and fluent with R, I was able to learn new ways of how I can be able to use it.
For example, I never knew that I would be able to download data directly from a URL and into the program. This new knowledge will help me a lot in the future, because it is a bit of a hassle to have to not only download data into my device but also then have to set my program directory for it as well.
This week, we looked into many data analysis tools, such as Mathematica.
Out of the bunch, I’ve decided to use R as my primary data analysis tool.
Next week, I plan to start thinking about and possibly exploring in what ways I can use R to search for interesting findings on the Washington Post data on police killings.
This week, we started the initial analysis of the Washington Post data on police killings.
Among the many things I noticed, one particular thing I noticed was that during the vast majority of these killings, the body cam was turned off.
This made me curious about the correlations regarding this specific parameter of when the body cam was off or on.
Next week, I hope to get started on looking more into such correlations, such as the state and cities where the killings occurred.