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@ -17,10 +17,10 @@
## 1. Is the population which answered the survey representative of EA overall?
### 1.1. According to age
![]([nunosempere.github.com/eamentalhealth/analysis/A1.png)
![]([nunosempere.github.com/rat/eamentalhealth/analysis/A1.png)
### 1.2. According to country.
![]([nunosempere.github.com/eamentalhealth/analysis/A2.png)
![]([nunosempere.github.com/rat/eamentalhealth/analysis/A2.png)
### 1.3. According to gender.
EA Survey 2018:
@ -167,7 +167,7 @@ The effect is very robust to different modelizations: regressing instead on empt
Here is the above, presented visually
![]([nunosempere.github.com/eamentalhealth/analysis/A3.png)
![]([nunosempere.github.com/rat/eamentalhealth/analysis/A3.png)
The following table is the cold, raw, hard data for the graphic.
```