Raw Data
geo_type transportation_type country X1.13.2020 X1.14.2020 X1.15.2020
1 country/region driving 100 95.30 101.43
2 country/region walking 100 100.68 98.93
3 country/region driving 100 97.07 102.45
4 country/region walking 100 95.11 101.37
5 country/region driving 100 102.98 104.21
6 country/region transit 100 101.78 100.64
7 country/region walking 100 101.31 101.82
8 country/region driving 100 101.14 104.24
9 country/region walking 100 101.55 105.59
10 country/region driving 100 101.19 107.49
11 country/region transit 100 98.67 105.01
12 country/region walking 100 101.46 110.44
13 country/region driving 100 99.71 100.90
14 country/region transit 100 102.45 104.28
15 country/region walking 100 106.30 104.75
16 country/region driving 100 102.56 104.73
17 country/region walking 100 101.90 99.61
18 country/region driving 100 100.75 99.33
19 country/region walking 100 98.06 99.70
20 country/region driving 100 102.91 99.74
21 country/region transit 100 100.03 98.01
22 country/region walking 100 106.29 106.65
23 country/region driving 100 99.01 102.57
24 country/region walking 100 102.58 103.13
25 country/region driving 100 97.85 99.65
26 country/region walking 100 103.15 104.44
27 country/region driving 100 102.23 102.77
28 country/region walking 100 103.28 105.83
29 country/region driving 100 101.17 106.68
30 country/region transit 100 98.02 101.88
31 country/region walking 100 99.92 103.24
32 country/region driving 100 103.67 105.55
33 country/region transit 100 98.09 98.22
34 country/region walking 100 99.31 104.04
35 country/region driving 100 98.78 104.14
36 country/region walking 100 96.45 100.74
37 country/region driving 100 106.93 106.41
38 country/region transit 100 99.03 99.77
39 country/region walking 100 103.31 104.45
40 country/region driving 100 102.42 105.41
41 country/region transit 100 98.58 99.52
42 country/region walking 100 96.91 101.01
43 country/region driving 100 101.60 104.67
44 country/region transit 100 100.31 102.48
45 country/region walking 100 105.95 108.49
46 country/region driving 100 101.31 102.82
47 country/region transit 100 102.85 102.41
48 country/region walking 100 104.04 107.18
49 country/region driving 100 100.63 100.57
50 country/region walking 100 100.50 101.91
X1.16.2020
1 97.20
2 98.46
3 111.21
4 112.67
5 108.63
6 99.58
7 104.52
8 112.21
9 112.24
10 107.67
11 105.87
12 118.86
13 101.88
14 100.20
15 99.05
16 104.35
17 100.06
18 96.00
19 98.00
20 105.17
21 101.01
22 108.64
23 106.47
24 103.74
25 97.22
26 102.96
27 98.19
28 104.89
29 109.34
30 103.30
31 107.32
32 104.16
33 99.55
34 107.99
35 113.60
36 103.42
37 115.22
38 100.60
39 110.69
40 104.46
41 101.67
42 104.80
43 107.25
44 103.75
45 121.22
46 104.61
47 105.37
48 110.76
49 100.60
50 108.84
Baca Grafik
- Lihat grafik di Panel City Comparison, grafik warna biru menggambarkan pergerakan manusia, bila berada di
bawah garis tengah berarti pergerakannya lambat alias kurang dari 100%(diakibatkan dari efek Lockdown, PSBB, WFA,dan protokol kesehatan yang ketat).
- Sementara jika menembus garis tengah menuju atas, artinya pergerakannya melebihi pergerakan normal artinya lebih dari 100 %, tiap strip di grafik mewakili 20% pergerakan manusia.
- Artinya ada uphoria, yang mengakibatkan inveksi covid19 terus meningkat(contohnya akibat pengendoran PSBB, Kantor mulai dibuka, Efek Ganjil genap, dan massa yang mulai abay dengan protokol kesehatan).
