Gewogen steekproefname

Enquètegegevens analyseren in Python

EbunOluwa Andrew

Data Scientist

Wat is gewogen steekproefname?

Ongelijke kansen
Maakt correctie van foutjes bij dataverzameling mogelijk

Weegschaal van Justitia op tafel, balans

Veelgebruikte variabelen bij gewogen steekproefname

Demografische kenmerken zoals gender, leeftijd, locatie en opleiding
Rekent verschillen mee tussen wie wel/niet meedoet aan onderzoek

Gezin, mensen van verschillende leeftijden lijnstijl

Cell-based wegen

¹ https://www.geopoll.com/blog/weighting-survey-data-raking-cell-weighting/

Cell-based wegen

¹ https://www.geopoll.com/blog/weighting-survey-data-raking-cell-weighting/

Cell-based wegen

¹ https://www.geopoll.com/blog/weighting-survey-data-raking-cell-weighting/

Cell-based wegen

¹ https://www.geopoll.com/blog/weighting-survey-data-raking-cell-weighting/

Jonge bestedingspatronen analyseren met Python

yp_survey

| Gender | Age | Entertainment |
|--------|-----|---------------|
| female |  19 | Agree         |
| female |  20 | Agree         |
| male   |  19 | Agree         |
| female |  19 | Disagree      |
| female |  24 | Disagree      |
| male   |  18 | Agree         |
| male   |  18 | Agree         |
| male   |  20 | Disagree      |

Jonge bestedingspatronen analyseren met Python

import pandas as pd
yp_crosstab = pd.crosstab(
  yp_survey['Gender'],
  yp_survey['Entertainment'])
yp_crosstab

yp_crosstab.plot.barh()

|        | Agree | Disagree |
|--------|-------|----------|
| female |    81 |       84 |
| male   |    84 |       46 |

Jonge bestedingspatronen analyseren met Python

survey = yp_survey.groupby(['Gender', 'Entertainment'])['Age'].count().reset_index()

survey.columns = ['Gender', 'Entertainment', 'Respondents']
survey

| Gender | Entertainment | Respondents |
|--------|---------------|-------------|
| female | Agree         |          81 |
| female | Disagree      |          84 |
| male   | Agree         |          84 |
| male   | Disagree      |          46 |

Jonge bestedingspatronen analyseren met Python

survey['% total respondents'] = survey.Respondents * 100./survey.Respondents.sum()

survey['% of population'] = [35, 25, 20, 20]

survey['Weight'] = survey['% of population']/survey['% total respondents']

survey['Weighted Respondents'] = survey.Weight * survey.Respondents

Jonge bestedingspatronen analyseren met Python

survey[['Gender','Entertainment',
        'Respondents','Weighted Respondents']].set_index(
  ['Gender','Entertainment']).plot.barh()

Laten we oefenen!

Enquètegegevens analyseren in Python