So how did my first month as a data scientist go, I hear you ask? Well what better way to answer than by opening a bit of data.
To see the all the code used in this post, visit my GitHub repository for this site
Many moons ago I came across an app called Moodnotes. The app intends to help the user understand their moods based on cognitive behavioual therapy (CBT). When I first find out about the app in 2015, I didn’t know how to code so I didn’t care about the app’s data export feature. I kept using it throughout the years and when I learned about the tidytext package, I immediately knew I wanted use my Moodnotes data and tidytext it as much as I could.
In this post I tidytext my March 2019 data. I picked this month because it shows how I felt during my first month as a data scientist/consultant in London.
After importing the data, we have the columns
How are you feeling?,
What thought went through your mind that contributed most to your negative feeling?,
What have you learned today/What are you grateful for?,
Did you fall into any traps?,
What's another way of thinking about the situation without traps?.
First I chose to plot my daily reported mood. So at the end of everyday I fill out a moodnotes exercise to reflect on my day. It all starts with a measurement from 1 to 5, where 5 is feeling Over the moon 🌔 and 1 is Dismal 😿.
1 What was my daily mood?
2 How does my mood vary depending on the day of the week?
I’m interested in seeing how my daily reported mood varied according to the day of the week.