I found some pretty interesting data here and here and here and decided to visualise it. I should have been doing something else but I didn’t want to. I wanted to see a dashboard. Procrastination level data-lover.
I love gathering data about myself. That’s why I fill my Excel table with my mood, leisure activities, travels and other stuff. It’s amazing to see how many places I visited in 2018. And even more exciting to visualize it with Tableau. 🙂
There are more than a hundred million posts uploaded every single day on Instagram. More than 4 billion likes a day by half a billion users. Fifty nine percent of internet users between the age of 18 and 29 have an active Instagram account. More than 70% of teenagers use Instagram. Even if it dies out like MySpace one day, right now Instagram is definitely one of the best online places where to target young audience. [Sources: Age Distribution, Teens]
When writing an article about Czech political influencers, I came across some pretty interesting numbers. I was honestly surprised I haven’t found any data analysis covering this so I decided to do it myself (with lots of Jiri‘s help – he’s my data guru and coding mentor 🙂 ). Continue reading “Instagram Scraping with Python”