How to analyse statistics

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We use „statistics“ (sometimes abbreviated „stats“) any time we collect, organize, analyse, interpret and present data. They help us to get an overview about trends and developments, they help us to understand what something is made up of. They translate data into visual images. Therefore, if we want to be informed in an objective way, it is absolutely necessary to be able to read and understand them. 

Who for?

You can imagine that statistics are widely used, not only in universities, laboratories or any other scientific context, but also in any jobs that need to assess data regularly. From Big Business to Startup companies, from industrial manufacturers to banks and the stock market: As soon as you work for one of these, it will be important to be able to speak about statistics – and often in the language of work and business, English. 


There are different types of statistics. It all depends what you want to display, and where you want to put your focus on. So, first of all, let us get an overview about the most common types of statistics.

I. Overview: The most common types of statistics

I. Pie Charts

Nutella bread

  • with butter642
  • without butter358

Morning composure

  • Night owl768
  • Early bird232

Sleeping habit

  • One cushion486
  • No cushion156
  • Lots of cushions215
  • Other143

Pie charts make sense when we have a total amount of something (100%) and we then want to split this amount up into different slices. This is why this form is called a pie chart. Just think of a lovely apple pie with vanilla ice cream! Each slice represents one component and all slices add up together as a whole.

Let’s look at an example. You have a company, and you’re selling cars. In the next shareholders meeting you want to present the amount of petrol-driven cars in contrast to the amount of electric and hydrogen-powered cars. Each group represents a percentage, together they add up to a whole pie. Makes sense, right?

II. Line Graphs

Created with Sketch. 0 200 400 600 800 1000 1200 1400 1600 1 2 3 4 5 6 7 8 9 10 11 12

Line Graphs are great tools to show information that is connected in some way, often as it changes over time. Usually we then create a timeline on the x-axis and the values on the y-axis.

A real-world use case could be a company that produces ready-made pizzas. They want to see at which period in the year people eat the largest amount of pizzas, and which type of pizza they choose. (Except Pizza Hawai’i – because that’s just awful and an insult to every Italian out there.)

Our timeline will then contain the 12 months of the year, and there will be different lines to show how many pizzas have been sold in the previous year – Pepperoni, Mushrooms, Onions, Pineapple… you get the idea.

III. Bar charts


We use Bar Charts when we want to compare different categories of data. These bars belong to one major category, but represent different groups within this category. Each of these categories can reach 100%.

Certainly you have already dealt with your printer at home. Some printers have a typical set of ink cartridges in the CMYK pattern. (The C stands for cyan (aqua), M stands for magenta (pink), Y for yellow, and K for Key, usually black.) With four bars in a bar chart you can now see how much of each ink cartridge is left. So our major category is ink, our groups within that category are the four colors cyan, magenta, yellow and key / black.

IV. Tables

How much time kids expend for different activities

Kid 1 Kid 2 Kid 3
Binge-watching on streaming platforms 25% 37% 42%
Playing video games 12% 50% 23%
Reading magazines ... ... ...

Finally, tables are used when we organize data that is too detailed or complicated to be described in text or any other form. It helps our readers to see the results in an orderly and structured way.

Imagine, you are the CEO of an important company, and you want to know how well each of your 10 products is doing in the different markets around the world. This gets chaotic quite quickly if you create a pie or a bar chart; at least, you will need many of them! In a table, the first row be designated to show the markets Europe, America and Asia, while the first column contains all the different products.

Now you!

Alone or together with your learning partner, revise these types of statistics and study when and why they are used. Think of other examples that could well be displayed by either one of the charts, the graph or the table.

II. Method: How to construct your analysis

The Basics

Basically, an analysis of a chart, graph or table always follows this pattern:

1. Introduction

2. Description

3. Analysis

4. Conclusion

Such an analysis is usually done in the Simple Present; unless you speak about events in the past, then you should use the appropriate tense there.

1. Introduction

Take the bar chart above as an example. 

Your first question or focus should always be the classical question: Who made this chart? Is the source given? Do we know when the data was collected and published, over which period it was collected…?

"The table / bar graph / line graph / pie chart with the title ... was published by ... in 2021. It deals with..."

2. Description

Now, it is about describing as detailed as possible. Mention things that are striking or stand out.

"The largest share / majority of children who are not able to read with comprehension by the end of primary school age come from... The minority of them lives in... It is striking that the global average amounts to... An outstanding fact is that ...

3. Analysis

When we analyse something, we break things down and study or examine something in very close detail, in order to discover more about it. The aim of a good analysis is to explain and interpret data.

"The numbers / figures show / suggest that..."

4. Conclusion

In the conclusion, we sum up: What have we learnt from our analysis of this chart, graph or table? 

"From the numbers given we can draw the conclusion that..."

Now you!

Our World in Data is an excellent site with many interesting charts and graphs. Go there, select one that you’re most interested in and analyse it according to the steps mentioned above.

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