Dataset Overview
Europass Survey
June - September 2019
Description
- Name: skills_ngrams
- Number of observations: 10,883,637
- Number of features: 9
- Description: This dataset collects statistics derived from free-text analysis on the skill-related responses collected in the Europass Survey. It describes the frequency of one and two-word terms with respect to certain given variables.
- Sources: Europass Survey: June - September 2019
- Download
| Feature | Name | Description | Form1 | Stat2 | Text3 | |
|---|---|---|---|---|---|---|
| term | Term | Unigram or bigram of keywords in a free-text response. | ● | ● |
|
|
| skill_type | Skill Category | Broad category of a classified skill response. | ● |
|
||
| locale | CV Language | Language used to write CV. | ● |
|
||
| country | Country | Country of residence. | ● |
|
||
| birth_year | Birth Year | Year of birth. | ● |
|
||
| gender | Gender | Female, male or missing value. | ● |
|
||
| headline_job | Headline Job | Job-related type of application. | ● |
|
||
| headline_isco | Headline ISCO 3 | ISCO level 3 classification for job declared in the type of application. | ● | ● |
|
|
| responses | Responses | Number of responses with a particular combination of values for the above variables. | ● |
|
||
| 1 Variable derives directly from a Europass CV; | ||||||
| 2 Variable is a statistical transformation of one or more Europass CV variables; | ||||||
| 3 Variable is a result of information retrieval using text mining |
Summary Statistics
term
| Feature | Result |
|---|---|
| Variable type | factor (nominal) |
| Number of missing values* | 0 ( 0.00% ) |
| Number of unique values | 149900 |
| * No missing values permitted. |
skill_type
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 0 ( 0.00% ) |
| Number of unique values | 5 |
| * No missing values permitted. |
locale
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 0 ( 0.00% ) |
| Number of unique values | 29 |
| * SkillsPassport.Locale missing. |
country
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 610878 ( 5.61% ) |
| Number of unique values | 183 |
| * SkillsPassport…Country.Code missing. |
birth_year
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 2919239 ( 26.82% ) |
| Number of unique values | 83 |
| * SkillsPassport…Birthdate.Year missing. |
gender
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 3817049 ( 35.07% ) |
| Number of unique values | 3 |
| * SkillsPassport…Gender.Code missing. |
headline_job
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 4973369 ( 45.70% ) |
| Number of unique values | 4 |
| * SkillsPassport…Headline.Type.Code missing. |
headline_isco
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 5707200 ( 52.44% ) |
| Number of unique values | 126 |
|
* Missing features required for estimation, or unidentifi ed from classification algorithm. |
responses
| Feature | Result |
|---|---|
| Variable type | integer |
| Number of missing values* | 0 ( 0.00% ) |
| Number of unique values | 1014 |
| Min. | 1 |
| 1st Qu. | 1 |
| Median | 1 |
| Mean | 1.72 |
| 3rd Qu. | 1 |
| Max. | 14055 |
| * No missing values permitted. |
