Sampling acak

Menganalisis Data Survei di Python

EbunOluwa Andrew

Data Scientist

Sampling dalam analisis data survei

Sampling = himpunan kecil dari populasi besar
- Menarik inferensi tentang populasi
- Sampling -> bentuk yang mudah dikelola
- Sampling -> galat sampling
- Minimalkan galat dengan populasi besar

Foto oleh Patrick Fore di Unsplash - anak memegang permen

Sampling acak

Tiap anggota punya peluang sama untuk terpilih
Mengurangi bias
Validitas internal tinggi
Validitas eksternal tinggi

tiket lotre

Metode .sample()

DataFrame.sample(n = _None_, frac = _None_, random_state = _None_)
n = jumlah item yang diambil
frac = proporsi (0–1) item yang dikembalikan
random_state = bilangan seed untuk hasil yang dapat direproduksi

Contoh sampling acak

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         |

Contoh sampling acak

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         |

Contoh sampling acak

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         |

Ayo berlatih!

Menganalisis Data Survei di Python