Exercise

# Do you know your data?

The previous exercise dealt about socio-econimic indicators and access to education of different individuals. The `edu_equal_1`

dataset that you've built is already available in the workspace. Now that you have it in R, it's pretty easy to get some basic insights.

For example, you can ask yourself how many observations (or how many people) have an `age`

higher than 40 and are `literate`

. When you call

```
str(edu_equal_1)
```

You'll see that `age`

is an integer, and `literate`

is a factor, with the levels "yes" and "no". The following expression thus answers the question:

```
nrow(subset(edu_equal_1, age > 40 & literate == "yes"))
```

Up to you to answer a similar question now: How many observations/individuals from Bulgaria have an income above 1000?

Instructions

**50 XP**

##### Possible Answers

- 9457
- 1000
- 8997
- 10840