At this point, I told my CEO I also meditated and was interested in the practice of meditation. Bear in mind that he was

Correlation is a way to determine if two variables in a dataset are related in any way. Correlations have many real-world applications. We can see if using certain search terms are correlated to views on youtube. Or, we can see if ads are correlated to sales. When building machine learning models correlations are an important factor in determining features. Not only can this help us to see which features are linear related, but if features are strongly correlated we can remove them to prevent duplicating information.,On our last scatterplot, we see some plot points with no clear slope. This correlation has an r value of -0.126163. There is no significant correlation between age and eye color. This should also make sense as eye color shouldn’t change as a child gets older. If this relationship showed a strong correlation we would want to examine the data to find out why.,We aren’t going to explain the math behind the r value, but if you are curious, this youtube video does a great job. Instead, let’s visualize correlations with a simple dataset,“You’re right, I also can’t believe I haven’t taken time off yet, not a single day. I honestly thought the workload would ease up once the whole process would be over, but it’s kind of the opposite. Now we have even more expectations from the new owners, harder targets, and strict deadlines. We’re not the small startup we used to be anymore, on our own with our own targets.,When we look at the correlation between age and weight the plot points start to form a positive slope. When we calculate the r value we get 0.954491. With the r value so close to 1, we can come to the conclusion that age and weight have a strong positive correlation. Intuitively, this should check out. In a growing child, as they get older and grow they start to weigh more.,“I haven’t been able to take time off yet, but I definitely will this winter vacation, with my wife and my kids. And even if so far has been non-stop, I still relax, I meditate a lot”.,The data we’ll look at comes from a Kaggle dataset about movies on streaming platforms. This dataset contains data on which movies are what streaming platforms. It also includes a few various qualifiers about each movie such as name, runtime, IMDB score, etc.,Conversely, the plot points on the age and baby teeth scatter plot start to form a negative slope. The r value of this correlation is -0.958188. This signifies a strong negative correlation. Intuitively, this also makes sense. As a child gets older they lose their baby teeth.,Luckily Python has some amazing libraries which give us the tools we need to quickly and efficiently look at correlations. Let’s take a brief look at what correlation is and how to find strong correlations in a dataset using a heat map.,The dataset below shows data on seven children. It has the following columns, weight, age(in months), amount of baby teeth, and eye color. The eye color column has been categorized where 1 = blue, 2 = green, and 3 = brown.,The r value is a number between -1 and 1. It tells us whether two columns are positively correlated, not correlated, or negatively correlated. The closer to 1, the stronger the positive correlation. The closer to -1, the stronger the negative correlation (i.e., the more “opposite” the columns are). The closer to 0, the weaker the correlation.,I replied that this was awesome, that indeed it felt a lot less stressful now that we knew we were backed by a big player (the company that bought us is worth over 2 billion dollars). But still, how about some time off?,In data science we can use the r value, also called Pearson’s correlation coefficient. This measures how closely two sequences of numbers( i.e., columns, lists, series, etc.) are correlated.,The best part about this whole thing though, is that now I know I can sleep at night knowing that you guys, my employees, have a safe job. You’re not gambling on my crazy idea anymore, we now have a solid financial backing. That’s one of my biggest victories. To see you guys happy and enjoying yourselves in this journey we’re one.”,My dad was in the military. I can’t count the number of times he said these words to me when I was a kid. Regardless of the warnings, like a lot of people, I still spend an extreme amount of time in my head either ruminating over past decisions or worrying about future ones.