Dataset Overview
Europass Survey
June - September 2019
Description
- Name: skills_indicator
- Number of observations: 774,654
- Number of features: 14
- Description: This dataset brings insights on the skills and competences appearing in collected CVs from the Europass CV online editor. More than 1 million skills were observed among 350K respondents. The analysis provides information on the most reported skills across respondents based on the established international classifications of ESCO.
- Sources: Europass Survey: June - September 2019
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| Feature | Name | Description | Form1 | Stat2 | Text3 | |
|---|---|---|---|---|---|---|
| skill_type | Skill Category | Broad category of a classified skill response. | ● |
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| skill_value | Skill Title | ESCO classification for skill free-text or drop down response. | ● | ● |
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| locale | CV Language | Language used to write CV. | ● |
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| country | Country | Country of residence. | ● |
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| age_group1 | Broad Age Group | Broad age groups with three categories. | ● |
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| age_group2 | Narrow Age Group | Narrow age groups with five categories. | ● |
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| gender | Gender | Female, male or missing value. | ● |
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| nationality | Nationality | Nationality. | ● |
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| mother_tongue | Mother Tongue | Native language. | ● |
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| latest_job_isco1 | Latest Job ISCO 1 | ISCO level 1 classification for latest job declared. | ● | ● |
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| latest_job_isco2 | Latest Job ISCO 2 | ISCO level 2 classification for latest job declared. | ● | ● |
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| latest_job_isco3 | Latest Job ISCO 3 | ISCO level 3 classification for latest job declared. | ● | ● |
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| total_work_years | Total Work Years | Sum of all work years. | ● |
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| responses | Responses | Number of responses with a particular combination of values for the above variables. | ● |
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| 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
skill_type
| Feature | Result |
|---|---|
| Variable type | factor (nominal) |
| Number of missing values* | 0 ( 0.00% ) |
| Number of unique values | 7 |
| * No missing values permitted. |
skill_value
| Feature | Result |
|---|---|
| Variable type | factor (nominal) |
| Number of missing values* | 0 ( 0.00% ) |
| Number of unique values | 8066 |
| * No missing values permitted. |
locale
| Feature | Result |
|---|---|
| Variable type | factor (nominal) |
| Number of missing values* | 0 ( 0.00% ) |
| Number of unique values | 29 |
| * SkillsPassport.Locale missing. |
country
| Feature | Result |
|---|---|
| Variable type | factor (nominal) |
| Number of missing values* | 46517 ( 6.00% ) |
| Number of unique values | 183 |
| * SkillsPassport…Country.Code missing. |
age_group1
| Feature | Result |
|---|---|
| Variable type | ordered (ordinal) |
| Number of missing values* | 252025 ( 32.53% ) |
| Number of unique values | 4 |
|
* SkillsPassport…Birthdate.Year missing, or over 65 yea rs old. |
age_group2
| Feature | Result |
|---|---|
| Variable type | ordered (ordinal) |
| Number of missing values* | 250790 ( 32.37% ) |
| Number of unique values | 6 |
| * SkillsPassport…Birthdate.Year missing. |
gender
| Feature | Result |
|---|---|
| Variable type | factor (nominal) |
| Number of missing values* | 317736 ( 41.02% ) |
| Number of unique values | 3 |
| * SkillsPassport…Gender.Code missing. |
nationality
| Feature | Result |
|---|---|
| Variable type | factor (nominal) |
| Number of missing values* | 356501 ( 46.02% ) |
| Number of unique values | 162 |
| * SkillsPassport…Nationality.Code missing. |
mother_tongue
| Feature | Result |
|---|---|
| Variable type | factor (nominal) |
| Number of missing values* | 115805 ( 14.95% ) |
| Number of unique values | 63 |
| * Skills.Linguistic.MotherTongue.Description missing. |
latest_job_isco1
| Feature | Result |
|---|---|
| Variable type | factor (nominal) |
| Number of missing values* | 74666 ( 9.64% ) |
| Number of unique values | 11 |
|
* Missing features required for estimation, or unidentifi ed from classification algorithm. |
latest_job_isco2
| Feature | Result |
|---|---|
| Variable type | factor (nominal) |
| Number of missing values* | 74666 ( 9.64% ) |
| Number of unique values | 43 |
|
* Missing features required for estimation, or unidentifi ed from classification algorithm. |
latest_job_isco3
| Feature | Result |
|---|---|
| Variable type | factor (nominal) |
| Number of missing values* | 74666 ( 9.64% ) |
| Number of unique values | 126 |
|
* Missing features required for estimation, or unidentifi ed from classification algorithm. |
total_work_years
| Feature | Result |
|---|---|
| Variable type | ordered (ordinal) |
| Number of missing values* | 36400 ( 4.70% ) |
| Number of unique values | 6 |
|
* No work experience entries filled, or both WorkExperien ce.Period.From.Year and WorkExperience.Period.To.Year m issing. |
responses
| Feature | Result |
|---|---|
| Variable type | integer |
| Number of missing values* | 0 ( 0.00% ) |
| Number of unique values | 323 |
| Min. | 1 |
| 1st Qu. | 1 |
| Median | 1 |
| Mean | 1.78 |
| 3rd Qu. | 1 |
| Max. | 3093 |
| * No missing values permitted. |
