Sebuah plot menyampaikan seribu kata
Memahami Visualisasi Data
Richie Cotton
Data Evangelist at DataCamp
Yang akan Anda pelajari
- Bagaimana memilih plot yang tepat?
- Bagaimana menafsirkan jenis plot umum?
- Praktik terbaik saat membuat plot?
Tiga cara mendapatkan wawasan
Menghitung statistik ringkas
mean, median, simpangan baku
Menjalankan model
regresi linear dan logistik
Membuat plot
sebar, batang, histogram
Datasaurus Dozen
| away_x | away_y | bullseye_x | bullseye_y | ... | x_shape_x | x_shape_y |
|---|---|---|---|---|---|---|
| 32.33 | 61.41 | 51.20 | 83.34 | ... | 38.34 | 92.47 |
| 53.42 | 26.19 | 58.97 | 85.50 | ... | 35.75 | 94.12 |
| 63.92 | 30.83 | 51.87 | 85.83 | ... | 32.77 | 88.52 |
| 70.29 | 82.53 | 48.18 | 85.05 | ... | 33.73 | 88.62 |
| 34.12 | 45.73 | 41.68 | 84.02 | ... | 37.24 | 83.72 |
| 67.67 | 37.11 | 37.89 | 82.57 | ... | 36.03 | 82.04 |
1 Matejka, J., & Fitzmaurice, G. (2017) https://www.autodeskresearch.com/publications/samestats
Rata-rata x per dataset
| dataset | mean(x) |
|---|---|
| away | 54.27 |
| bullseye | 54.27 |
| circle | 54.27 |
| dino | 54.26 |
| dots | 54.26 |
| h_lines | 54.26 |
| high_lines | 54.27 |
| dataset | mean(x) |
|---|---|
| slant_down | 54.27 |
| slant_up | 54.27 |
| star | 54.27 |
| v_lines | 54.27 |
| wide_lines | 54.27 |
| x_shape | 54.26 |
Rata-rata x dan y per dataset
| dataset | mean(x) | mean(y) |
|---|---|---|
| away | 54.27 | 47.83 |
| bullseye | 54.27 | 47.83 |
| circle | 54.27 | 47.84 |
| dino | 54.26 | 47.83 |
| dots | 54.26 | 47.84 |
| h_lines | 54.26 | 47.83 |
| high_lines | 54.27 | 47.84 |
| dataset | mean(x) | mean(y) |
|---|---|---|
| slant_down | 54.27 | 47.84 |
| slant_up | 54.27 | 47.83 |
| star | 54.27 | 47.84 |
| v_lines | 54.27 | 47.84 |
| wide_lines | 54.27 | 47.83 |
| x_shape | 54.26 | 47.84 |
Simpangan baku per dataset
| dataset | std_dev(x) | std_dev(y) |
|---|---|---|
| away | 16.77 | 26.94 |
| bullseye | 16.77 | 26.94 |
| circle | 16.76 | 26.93 |
| dino | 16.77 | 26.94 |
| dots | 16.77 | 26.93 |
| h_lines | 16.77 | 26.94 |
| high_lines | 16.77 | 26.94 |
| dataset | std_dev(x) | std_dev(y) |
|---|---|---|
| slant_down | 16.77 | 26.94 |
| slant_up | 16.77 | 26.94 |
| star | 16.77 | 26.93 |
| v_lines | 16.77 | 26.94 |
| wide_lines | 16.77 | 26.94 |
| x_shape | 16.77 | 26.93 |
Variabel kontinu dan kategorikal
Kontinu: biasanya angka
- tinggi, suhu, pendapatan
Variabel kontinu dan kategorikal
Kontinu: biasanya angka
- tinggi, suhu, pendapatan
Kategorikal: biasanya teks
- warna mata, negara, industri
Variabel kontinu dan kategorikal
Kontinu: biasanya angka
- tinggi, suhu, pendapatan
Kategorikal: biasanya teks
- warna mata, negara, industri
Bisa keduanya
- usia itu kontinu, tetapi kelompok usia kategorikal
- waktu itu kontinu, tetapi bulan dalam setahun kategorikal
Ayo berlatih!
Memahami Visualisasi Data
