Slumpmässigt urval

Analysera enkätdata med Python

EbunOluwa Andrew

Data Scientist

Urval i enkätdataanalys

Urval = litet urval från stor population
- Dra slutsatser om den större populationen
- Urval -> hanterbar form
- Urval -> urvalsfel
- Minimera felet med stort urval

Photo by Patrick Fore on Unsplash - kid holding candies

Slumpmässigt urval

Varje medlem har lika stor chans att väljas
Minskar bias
Hög intern validitet
Hög extern validitet

lottery tickets

Metoden .sample()

DataFrame.sample(n = _None_, frac = _None_, random_state = _None_)
n = antal element att sampla
frac = andel (av 1) av element att returnera
random_state = startvärde för reproducerbara resultat

Exempel på slumpmässigt urval

import pandas as pd
survey = pd.read_csv('ABC_survey.csv')

sample = survey.sample(n=100)
print(sample)

|       | employee_id | gender | onsite_work |
|-------|-------------|--------|-------------|
| 3244  | fffe330     | Female | Yes         |
| 21339 | fffe310     | Male   | Yes         |
| 1122  | fffe390     | Male   | Yes         |
| 4363  | fffe313     | Female | Yes         |

Exempel på slumpmässigt urval

import pandas as pd
survey = pd.read_csv('ABC_survey.csv')

sample = survey.sample(frac = 0.1)
print(sample)

|     | employee_id | gender | onsite_work |
|-----|-------------|--------|-------------|
| 142 | fffe800     | Female | Yes         |
| 710 | fffe900     | Female | Yes         |
| 242 | fffe700     | Female | Yes         |
| 114 | fffe600     | Female | Yes         |

Exempel på slumpmässigt urval

import pandas as pd
survey = pd.read_csv('ABC_survey.csv')

sample = survey.sample(
  n = 100, random_state = 123)

import pandas as pd
survey = pd.read_csv('ABC_survey.csv')

sample = survey.sample(
  frac = 0.1, random_state = 123)

|       | employee_id | gender | onsite_work |
|-------|-------------|--------|-------------|
| 21383 | fffe3       | Female | Yes         |
| 82    | fffe0       | Male   | Yes         |
| 20739 | fffe2       | Male   | Yes         |
| 7662  | fffe9       | Female | Yes         |

|       | employee_id | gender | onsite_work |
|-------|-------------|--------|-------------|
| 21383 | fffe3       | Female | Yes         |
| 82    | fffe0       | Male   | Yes         |
| 20739 | fffe2       | Male   | Yes         |
| 7662  | fffe9       | Female | Yes         |

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Analysera enkätdata med Python