The distribution of users

1. The distribution of users

Let's continue exploring our user demographics!

2. User demographics

So far we have looked at Usertype and Gender. There is one field we haven't taken into account yet, and that is Birthyear. From Birthyear we can calculate the users' age. Age is another demographic element that impacts businesses. A company's products and services are more likely to appeal to certain age groups. If we know which users are using Divvy bikes more than others, we can set up successful marketing campaigns targeting these users.

3. Visualizing user distribution

But unlike Usertype and Gender, Birthyear and Age are numeric values. This means we need a different type of visualization. A histogram shows bars representing numerical values by range of value. So in this case, each bar shows the total number of rides taken by users in that age range. You can change the age ranges, also called bins, to change the number of bars shown. For example, in this graph the bins are 3 years. If you look at the tallest bar, you can see the total number of trips taken by users that are 27, 28 or 29 years old.

4. Visualizing user distribution

In this graph, the bins are 1 year. For every single age, the total number of rides is shown. You can see that with a smaller bin size, like in this chart, you can see a lot of detail, but it also adds more noise. Often, you'll need to look at different bin sizes to find the one that suits your distribution best. By visualizing the age range and distribution of Divvy users, we can ensure that any advertising Divvy performs is directed where it will be seen by the most potential buyers.

5. Let's practice!

Let's get to work!

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