1. Guidelines to visualise statistical information: Tables, graphs and maps
THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION

2. Statistical data producers, yes!
As all of us know, our purpose is to produce high-quality statistics

3. Statistical data producers, yes!
Finally, here
we have our perfect figure:
2,6%
But what’s the point if nobody knows / finds / understands our data?

4. Statistical data producers, yes!
So apart from producing high quality statistics, we might be interested in getting our data across… How can we do that?

5. Statistical data producers, yes!
We can:
Provide the user with good metadata
Use user-friendly dissemination channels
Enhance the statistical knowledge of our audience
Publish our outcomes in an easy-to-read way
Etc.

6. Statistical data producers, yes!
To sum up, the answer to the previous question is too long and wide to be given in this presentation. Here we will just focus on how to publish our results in an easy-to-read way

7. Statistical data producers, yes!
So, let’s give our data a nice, informative package!
Tables, graphs and maps : )

8. Statistical data producers, yes!

9. Table is a table is a table is a table
Table: a set of data organized in a grid
We distinguish informative from presentation tables
Informative: normally large tables extracted from databases
Presentation: small tables that sum up the most important figures of a topic, normally used in publications

10. Tables: Do’s and Don’ts
Title: what, when & where Rows and columns tagged Source Units Footnotes if needed

11. Tables: Do’s and Don’ts
Information sorted (chronologically, alphabetically...) Same amount of decimals for every figure Numbers right justified Thousand separator (space better than ‘.’ or ‘,’) No empty cells (identify missing values)

12. Charts: a picture is worth a thousand words
Visual representation of statistical data Facilitate comparison and identification of trends within the data Many types of them: Pie charts, lines, bars etc.

13. In a nutshell, a good chart should have
Title Axis labels Gridlines Legend Source
BUT:
Avoid unnecessary features that makes the chart difficult to understand

14. Maps: statistics + geography
They provide information related to statistical areas Show the spatial distribution of data

15. Maps: statistics + geography
Two types: Choropleth: shaded areas Dot maps: information displayed using icons

16. A good map should have:
Title Legend Units Scale Data source

17. To know more
This presentation is strongly based on the UNECE guidelines ‘Making data meaningful Part 2’

18. Thank you for your attention!