Often we are working with datasets with hundreds or even thousands of features. While having all this information is great it is extremely difficult to get an sense of what that our data actually looks like. …
I came across the Fatal Force dataset hosted by the Washington Post that tracks all deaths do to police shootings in a given year (dating back to 2015). I was curious what the distribution of police shootings looked like when aggregated by race. …
Principle Component Analysis (PCA) is one of the buzz words people love throwing around in the Data Science community. For those of you not familiar with PCA I recommend reading this stackexchange post. Also this blog post by Matt Brems is a great resource for an even deeper understanding.
But…
In this session I am going to be talking about iterating over rows in a Pandas DataFrame. We are going to use the Titanic dataset that was used in the previous post. For this example we are going to examine different ways in which we can replace null values in…
Over the next few blogs I am going to be covering some helpful tips and tricks for using Pandas.
When working with a new dataset in Pandas there are always three things I check first:
- What columns have null values and how many?
- How many unique values do I have…
I have a baseball dataset with every pitch thrown in the 2016 MLB season. I also have a dataset of the salaries of most of the pitchers in the 2016 MLB season. I want to combine these two datasets and examine how much a pitch costs.
I have all the…
