SIKAP JEAS
version: 09 January, 2026 – 10:13:46
1 Data Description
N per week:
##
## 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 17
## 1870 1650 1650 1650 1650 1650 1650 1650 1650 1650 1650 3297 1653 1650 1650 1650
## 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33
## 1650 1651 1650 1650 1651 1650 1651 1650 1650 1650 1650 1650 1650 1650 1650 1650
## 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49
## 1650 1650 1650 1650 1650 1650 1650 1650 1650 1650 1650 1650 1650 1650 1650 1650
## 50 51 52 53 54 55 56 57 58
## 1650 1650 1650 1650 1650 1650 1650 1650 1650Total N:
## [1] 95923Unique Respondents:
## [1] 84588Respondents by number of repeat participation:
##
## 1 2 3 4 5 6
## 76258 6054 1683 473 104 16Heatmap of weeks
##
## 1 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
## 4 1748 993 703 621 512 382 325 246 216 276 239 216 202 177 155
## 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39
## 113 113 95 94 73 83 73 78 54 63 57 48 45 35 34 36
## 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55
## 29 21 29 17 21 16 10 13 15 12 10 2 5 9 4 2
## 56 57
## 4 2##
## 1 2 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
## 1 2 769 374 211 144 121 75 66 47 39 69 62 39 45 36 22 27 20 8
## 27 28 29 30 31 32 33 34 35 36 37 39 42
## 21 21 9 12 6 7 3 4 4 5 3 3 1##
## 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
## 257 88 60 40 28 16 15 10 10 17 11 11 7 5 2 4 1 3 4 1
## 29 31 34
## 1 1 1##
## 9 10 11 12 13 14 15 16 18 19
## 66 20 12 8 4 4 1 3 1 1##
## 9 10 11
## 12 1 3## Warning: Removed 76 rows containing missing values or values outside the scale range
## (`geom_tile()`).
# d_counts$n12[which(d_counts$n12$n == max(d_counts$n12$n)), c("week1", "week2", "n")]
# d_counts$n12[which(d_counts$n12$n == min(d_counts$n12$n)), c("week1", "week2", "n")]
#
# d_counts$n23[which(d_counts$n23$n == max(d_counts$n23$n)), c("week2", "week3", "n")]
# d_counts$n23[which(d_counts$n23$n == min(d_counts$n23$n)), c("week2", "week3", "n")]
#
# d_counts$n34[which(d_counts$n34$n == max(d_counts$n34$n)), c("week3", "week4", "n")]
# d_counts$n34[which(d_counts$n34$n == min(d_counts$n34$n)), c("week4", "week4", "n")]
#
# d_counts$n45[which(d_counts$n45$n == max(d_counts$n45$n)), c("week4", "week5", "n")]
# d_counts$n45[which(d_counts$n45$n == min(d_counts$n45$n)), c("week4", "week5", "n")]
#
# d_counts$n56[which(d_counts$n56$n == max(d_counts$n56$n)), c("week5", "week6", "n")]
# d_counts$n56[which(d_counts$n56$n == min(d_counts$n56$n)), c("week6", "week6", "n")]
### combining week combinations
colnames(d_counts$n12) = colnames(d_counts$n23) = colnames(d_counts$n34) = colnames(d_counts$n45) = colnames(d_counts$n56) = c("w1", "w2", "n")
d_comb = bind_rows(d_counts$n12, d_counts$n23, d_counts$n34, d_counts$n45, d_counts$n56)
d_comb = d_comb %>% group_by(w1, w2) %>%
dplyr::summarise(n = sum(n))## `summarise()` has grouped output by 'w1'. You can override using the `.groups`
## argument.d_comb[which(d_comb$n == max(d_comb$n)), c("w1", "w2", "n")]## # A tibble: 1 × 3
## # Groups: w1 [1]
## w1 w2 n
## <dbl> <dbl> <int>
## 1 36 45 120d_comb[which(d_comb$n == min(d_comb$n)), c("w1", "w2", "n")]## # A tibble: 136 × 3
## # Groups: w1 [31]
## w1 w2 n
## <dbl> <dbl> <int>
## 1 1 45 1
## 2 1 51 1
## 3 1 55 1
## 4 2 30 1
## 5 2 34 1
## 6 2 36 1
## 7 2 41 1
## 8 2 48 1
## 9 2 52 1
## 10 2 54 1
## # ℹ 126 more rows2 Descriptive
2.1 Demographic
## weeklab n pct_female pct_muslim pct_christian pct_others
## 1 27-Nov 1870 45.29 81.87 14.44 3.69
## 2 04-Dec 1650 50.00 79.76 13.09 7.15
## 3 11-Dec 1650 50.00 81.33 13.76 4.91
## 4 18-Dec 1650 50.00 82.12 14.79 3.09
## 5 25-Dec 1650 50.00 84.42 12.67 2.91
## 6 01-Jan 1650 50.00 83.52 13.09 3.39
## 7 08-Jan 1650 50.00 81.52 14.48 4.00
## 8 15-Jan 1650 50.00 82.73 14.24 3.03
## 9 22-Jan 1650 50.00 82.00 15.45 2.55
## 10 29-Jan 1650 50.00 83.52 14.91 1.58
## 11 05-Feb 1650 50.00 82.97 13.70 3.33
## 12 12-Feb 3297 50.05 81.59 14.59 3.82
## 13 26-Feb 1653 49.91 78.34 17.18 4.48
## 14 04-Mar 1650 50.00 78.06 17.58 4.36
## 15 11-Mar 1650 50.00 78.12 17.82 4.06
## 16 18-Mar 1650 50.00 74.12 20.55 5.33
## 17 25-Mar 1650 50.00 78.24 17.52 4.24
## 18 01-Apr 1651 49.97 70.38 20.78 8.84
## 19 08-Apr 1650 50.00 60.55 25.64 13.82
## 20 15-Apr 1650 50.00 68.79 18.97 12.24
## 21 22-Apr 1651 49.97 75.89 18.84 5.27
## 22 29-Apr 1650 50.00 75.15 17.58 7.27
## 23 06-May 1651 50.03 78.80 16.47 4.72
## 24 13-May 1650 50.00 80.67 16.42 2.91
## 25 20-May 1650 50.00 81.45 15.82 2.73
## 26 27-May 1650 50.00 82.79 15.09 2.12
## 27 03-Jun 1650 50.00 81.52 15.82 2.67
## 28 10-Jun 1650 50.00 81.82 15.58 2.61
## 29 17-Jun 1650 50.00 79.27 17.76 2.97
## 30 24-Jun 1650 50.00 80.42 16.36 3.21
## 31 01-Jul 1650 50.00 82.85 14.00 3.15
## 32 08-Jul 1650 50.00 80.91 16.18 2.91
## 33 15-Jul 1650 50.00 80.91 16.30 2.79
## 34 22-Jul 1650 50.00 80.00 16.91 3.09
## 35 29-Jul 1650 50.00 81.27 15.88 2.85
## 36 05-Aug 1650 50.00 80.12 15.76 4.12
## 37 12-Aug 1650 50.00 82.06 15.45 2.48
## 38 19-Aug 1650 50.00 82.24 15.15 2.61
## 39 26-Aug 1650 50.00 80.00 16.18 3.82
## 40 02-Sep 1650 50.00 81.33 15.45 3.21
## 41 09-Sep 1650 50.00 82.24 14.00 3.76
## 42 16-Sep 1650 50.00 82.48 15.39 2.12
## 43 23-Sep 1650 50.00 84.55 13.39 2.06
## 44 30-Sep 1650 50.00 83.09 13.45 3.45
## 45 07-Oct 1650 50.00 82.97 14.61 2.42
## 46 14-Oct 1650 50.00 83.88 13.70 2.42
## 47 21-Oct 1650 50.00 85.39 11.94 2.67
## 48 28-Oct 1650 50.00 84.12 13.82 2.06
## 49 04-Nov 1650 50.00 83.94 13.88 2.18
## 50 11-Nov 1650 50.00 84.97 12.85 2.18
## 51 18-Nov 1650 50.00 83.70 14.12 2.18
## 52 25-Nov 1650 50.00 85.64 12.18 2.18
## 53 02-Dec 1650 50.00 84.06 13.45 2.48
## 54 09-Dec 1650 50.00 85.03 12.06 2.91
## 55 16-Dec 1650 50.00 87.27 9.94 2.79
## 56 23-Dec 1650 50.00 88.61 7.88 3.52
## 57 30-Dec 1650 50.00 88.85 8.91 2.24
## 58 Total 95923 49.91 81.14 15.14 3.72## weeklab age_median age_18_24 age_25_34 age_35_44 age_45_54 age_55
## 1 27-Nov 35.0 24.44 24.55 21.23 18.34 11.44
## 2 04-Dec 36.0 17.94 26.00 24.06 18.97 13.03
## 3 11-Dec 36.0 17.94 26.00 24.06 18.97 13.03
## 4 18-Dec 36.0 17.94 26.00 24.06 18.97 13.03
## 5 25-Dec 37.0 17.94 26.00 24.06 18.97 13.03
## 6 01-Jan 36.0 17.94 26.00 24.06 18.97 13.03
## 7 08-Jan 36.0 17.94 26.00 24.06 18.97 13.03
## 8 15-Jan 36.0 17.94 26.00 24.06 18.97 13.03
## 9 22-Jan 36.0 17.94 26.00 24.06 18.97 13.03
## 10 29-Jan 37.0 17.94 25.94 24.06 19.03 13.03
## 11 05-Feb 37.0 17.94 26.00 24.06 18.97 13.03
## 12 12-Feb 37.0 17.96 25.93 24.08 18.99 13.04
## 13 26-Feb 37.0 17.91 26.13 24.02 18.94 13.01
## 14 04-Mar 36.0 17.94 26.00 24.06 18.97 13.03
## 15 11-Mar 36.0 17.94 26.00 24.06 18.97 13.03
## 16 18-Mar 36.0 17.94 26.00 24.06 18.97 13.03
## 17 25-Mar 37.0 17.94 26.00 24.06 18.97 13.03
## 18 01-Apr 36.0 17.93 26.04 24.05 18.96 13.02
## 19 08-Apr 37.0 17.94 26.00 24.06 18.97 13.03
## 20 15-Apr 37.0 17.94 26.00 24.06 18.97 13.03
## 21 22-Apr 37.0 17.93 25.98 24.05 19.02 13.02
## 22 29-Apr 37.0 17.94 26.00 24.06 18.97 13.03
## 23 06-May 36.0 17.93 25.98 24.05 19.02 13.02
## 24 13-May 36.0 17.94 26.00 24.06 18.97 13.03
## 25 20-May 36.0 17.94 26.00 24.06 18.97 13.03
## 26 27-May 37.0 17.94 26.00 24.06 18.97 13.03
## 27 03-Jun 36.0 17.94 26.00 24.06 18.97 13.03
## 28 10-Jun 36.0 17.94 26.00 24.06 18.97 13.03
## 29 17-Jun 37.0 17.94 26.00 24.06 18.97 13.03
## 30 24-Jun 36.5 17.94 26.00 24.06 18.97 13.03
## 31 01-Jul 37.0 17.94 26.00 24.06 18.97 13.03
## 32 08-Jul 36.0 17.94 26.00 24.06 18.97 13.03
## 33 15-Jul 36.0 17.94 26.00 24.06 18.97 13.03
## 34 22-Jul 36.0 17.94 26.00 24.06 18.97 13.03
## 35 29-Jul 36.0 17.94 26.00 24.06 18.97 13.03
## 36 05-Aug 36.0 17.94 26.00 24.06 18.97 13.03
## 37 12-Aug 37.0 17.94 26.00 24.06 18.97 13.03
## 38 19-Aug 37.0 17.94 26.00 24.06 18.97 13.03
## 39 26-Aug 37.0 17.94 26.00 24.06 18.97 13.03
## 40 02-Sep 36.0 17.94 26.00 24.06 18.97 13.03
## 41 09-Sep 36.0 17.94 26.00 24.06 18.97 13.03
## 42 16-Sep 37.0 17.94 26.00 24.06 18.97 13.03
## 43 23-Sep 37.0 17.94 26.00 24.06 18.97 13.03
## 44 30-Sep 37.0 17.94 26.00 24.06 18.97 13.03
## 45 07-Oct 37.0 17.94 26.00 24.06 18.97 13.03
## 46 14-Oct 37.0 17.94 26.00 24.06 18.97 13.03
## 47 21-Oct 37.0 17.94 26.00 24.06 18.97 13.03
## 48 28-Oct 37.0 17.94 26.00 24.06 18.97 13.03
## 49 04-Nov 37.0 17.94 26.00 24.06 18.97 13.03
## 50 11-Nov 37.0 17.94 26.00 24.06 18.97 13.03
## 51 18-Nov 37.0 17.94 26.00 24.06 18.97 13.03
## 52 25-Nov 37.0 17.94 26.00 24.06 18.97 13.03
## 53 02-Dec 37.0 17.94 26.00 24.06 18.97 13.03
## 54 09-Dec 37.0 17.94 26.00 24.06 18.97 13.03
## 55 16-Dec 37.0 17.94 26.00 24.06 18.97 13.03
## 56 23-Dec 38.0 17.94 26.00 24.06 18.97 13.03
## 57 30-Dec 37.0 17.94 26.00 24.06 18.97 13.03
## 58 Total 37.0 18.07 25.97 24.00 18.96 13.00## weeklab pct_edu_less_hs pct_edu_hs pct_edu_more_hs
## 1 27-Nov 2.35 37.86 59.79
## 2 04-Dec 3.03 33.88 63.09
## 3 11-Dec 2.67 33.09 64.24
## 4 18-Dec 3.64 35.64 60.73
## 5 25-Dec 3.88 35.88 60.24
## 6 01-Jan 3.88 35.45 60.67
## 7 08-Jan 3.21 36.18 60.61
## 8 15-Jan 3.15 38.48 58.36
## 9 22-Jan 3.52 38.36 58.12
## 10 29-Jan 4.30 37.27 58.42
## 11 05-Feb 4.67 36.97 58.36
## 12 12-Feb 4.40 37.76 57.84
## 13 26-Feb 2.06 36.06 61.89
## 14 04-Mar 4.61 34.24 61.15
## 15 11-Mar 3.33 30.30 66.36
## 16 18-Mar 3.09 33.64 63.27
## 17 25-Mar 3.33 33.27 63.39
## 18 01-Apr 3.57 31.68 64.75
## 19 08-Apr 3.03 30.48 66.48
## 20 15-Apr 3.64 33.39 62.97
## 21 22-Apr 3.39 34.10 62.51
## 22 29-Apr 3.15 31.45 65.39
## 23 06-May 3.94 32.89 63.17
## 24 13-May 3.88 35.27 60.85
## 25 20-May 3.64 36.24 60.12
## 26 27-May 4.06 34.12 61.82
## 27 03-Jun 3.45 37.33 59.21
## 28 10-Jun 4.67 36.30 59.03
## 29 17-Jun 4.79 36.42 58.79
## 30 24-Jun 3.76 35.09 61.15
## 31 01-Jul 4.42 37.09 58.48
## 32 08-Jul 3.45 33.58 62.97
## 33 15-Jul 4.30 34.30 61.39
## 34 22-Jul 3.27 34.18 62.55
## 35 29-Jul 2.42 32.18 65.39
## 36 05-Aug 2.73 34.91 62.36
## 37 12-Aug 3.33 32.55 64.12
## 38 19-Aug 4.55 33.27 62.18
## 39 26-Aug 2.67 31.39 65.94
## 40 02-Sep 2.30 31.94 65.76
## 41 09-Sep 2.24 31.52 66.24
## 42 16-Sep 2.24 32.61 65.15
## 43 23-Sep 2.48 31.58 65.94
## 44 30-Sep 3.52 33.94 62.55
## 45 07-Oct 3.39 33.70 62.91
## 46 14-Oct 3.39 34.79 61.82
## 47 21-Oct 3.70 37.09 59.21
## 48 28-Oct 5.09 34.61 60.30
## 49 04-Nov 2.91 35.21 61.88
## 50 11-Nov 3.21 34.79 62.00
## 51 18-Nov 3.88 36.00 60.12
## 52 25-Nov 3.15 33.45 63.39
## 53 02-Dec 4.12 32.79 63.09
## 54 09-Dec 3.70 34.30 62.00
## 55 16-Dec 4.12 33.64 62.24
## 56 23-Dec 3.70 36.00 60.30
## 57 30-Dec 4.24 34.06 61.70
## 58 Total 3.53 34.53 61.94## weeklab pct_region_java pct_region_sumatera pct_region_eastern
## 1 27-Nov 62.09 19.52 18.40
## 2 04-Dec 60.00 20.00 20.00
## 3 11-Dec 60.00 20.00 20.00
## 4 18-Dec 60.00 20.00 20.00
## 5 25-Dec 60.00 20.00 20.00
## 6 01-Jan 60.00 20.00 20.00
## 7 08-Jan 60.00 20.00 20.00
## 8 15-Jan 60.00 20.00 20.00
## 9 22-Jan 60.00 20.00 20.00
## 10 29-Jan 60.00 20.00 20.00
## 11 05-Feb 60.00 20.00 20.00
## 12 12-Feb 59.96 20.02 20.02
## 13 26-Feb 60.07 19.96 19.96
## 14 04-Mar 60.00 20.00 20.00
## 15 11-Mar 60.00 20.00 20.00
## 16 18-Mar 60.00 20.00 20.00
## 17 25-Mar 60.00 20.00 20.00
## 18 01-Apr 60.02 19.99 19.99
## 19 08-Apr 60.00 20.00 20.00
## 20 15-Apr 60.00 20.00 20.00
## 21 22-Apr 59.96 19.99 20.05
## 22 29-Apr 60.00 20.00 20.00
## 23 06-May 59.96 19.99 20.05
## 24 13-May 60.00 20.00 20.00
## 25 20-May 60.00 20.00 20.00
## 26 27-May 60.00 20.00 20.00
## 27 03-Jun 60.00 20.00 20.00
## 28 10-Jun 60.00 20.00 20.00
## 29 17-Jun 60.00 20.00 20.00
## 30 24-Jun 60.00 20.00 20.00
## 31 01-Jul 59.94 20.00 20.06
## 32 08-Jul 60.00 20.00 20.00
## 33 15-Jul 60.00 20.00 20.00
## 34 22-Jul 60.00 20.00 20.00
## 35 29-Jul 60.00 20.00 20.00
## 36 05-Aug 60.00 20.00 20.00
## 37 12-Aug 60.00 20.00 20.00
## 38 19-Aug 60.00 20.00 20.00
## 39 26-Aug 60.00 20.00 20.00
## 40 02-Sep 60.00 20.00 20.00
## 41 09-Sep 60.00 20.00 20.00
## 42 16-Sep 60.00 20.00 20.00
## 43 23-Sep 60.00 20.00 20.00
## 44 30-Sep 60.00 20.00 20.00
## 45 07-Oct 60.00 20.00 20.00
## 46 14-Oct 60.00 20.00 20.00
## 47 21-Oct 60.00 20.00 20.00
## 48 28-Oct 60.00 20.00 20.00
## 49 04-Nov 60.00 20.00 20.00
## 50 11-Nov 60.00 20.00 20.00
## 51 18-Nov 60.00 20.00 20.00
## 52 25-Nov 60.00 20.00 20.00
## 53 02-Dec 60.00 20.00 20.00
## 54 09-Dec 60.00 20.00 20.00
## 55 16-Dec 60.00 20.00 20.00
## 56 23-Dec 60.00 20.00 20.00
## 57 30-Dec 60.00 20.00 20.00
## 58 Total 60.04 19.99 19.97## weeklab pct_boomers pct_genx pct_millenials pct_genz
## 1 27-Nov 5.08 26.15 36.90 31.87
## 2 04-Dec 7.52 25.70 39.76 27.03
## 3 11-Dec 5.70 28.06 40.97 25.27
## 4 18-Dec 5.27 27.52 40.91 26.30
## 5 25-Dec 6.06 27.21 41.39 25.33
## 6 01-Jan 6.42 26.79 41.15 25.64
## 7 08-Jan 5.39 27.76 40.30 26.55
## 8 15-Jan 5.82 27.52 39.76 26.91
## 9 22-Jan 6.36 27.03 39.58 27.03
## 10 29-Jan 6.79 26.55 39.52 27.15
## 11 05-Feb 5.94 28.12 40.06 25.88
## 12 12-Feb 4.91 28.57 40.55 25.96
## 13 26-Feb 5.57 27.95 41.32 25.17
## 14 04-Mar 6.36 27.33 41.33 24.97
## 15 11-Mar 6.73 26.36 41.70 25.21
## 16 18-Mar 5.70 28.67 41.21 24.42
## 17 25-Mar 6.18 28.06 40.30 25.45
## 18 01-Apr 6.12 27.50 41.73 24.65
## 19 08-Apr 6.42 27.52 41.15 24.91
## 20 15-Apr 6.36 27.39 40.48 25.76
## 21 22-Apr 6.48 27.32 41.49 24.71
## 22 29-Apr 5.94 28.24 41.39 24.42
## 23 06-May 6.18 27.56 40.28 25.98
## 24 13-May 6.30 26.91 41.45 25.33
## 25 20-May 6.24 27.76 40.61 25.39
## 26 27-May 6.06 28.42 40.18 25.33
## 27 03-Jun 6.67 26.79 40.73 25.82
## 28 10-Jun 5.82 27.39 41.88 24.91
## 29 17-Jun 6.91 26.91 40.91 25.27
## 30 24-Jun 5.88 27.88 40.67 25.58
## 31 01-Jul 4.85 29.27 39.27 26.61
## 32 08-Jul 6.00 27.76 41.21 25.03
## 33 15-Jul 5.76 28.42 39.88 25.94
## 34 22-Jul 6.55 26.97 41.21 25.27
## 35 29-Jul 7.27 26.42 40.97 25.33
## 36 05-Aug 7.58 25.70 41.09 25.64
## 37 12-Aug 7.45 26.48 39.64 26.42
## 38 19-Aug 7.45 26.36 39.94 26.24
## 39 26-Aug 6.36 26.97 40.91 25.76
## 40 02-Sep 5.52 27.82 40.61 26.06
## 41 09-Sep 6.67 26.91 39.15 27.27
## 42 16-Sep 5.64 28.97 38.97 26.42
## 43 23-Sep 6.18 27.58 40.48 25.76
## 44 30-Sep 7.33 27.03 38.73 26.91
## 45 07-Oct 6.91 28.42 37.21 27.45
## 46 14-Oct 7.15 27.82 38.48 26.55
## 47 21-Oct 6.79 28.42 37.33 27.45
## 48 28-Oct 7.45 28.61 37.94 26.00
## 49 04-Nov 6.06 29.27 37.21 27.45
## 50 11-Nov 7.33 27.70 38.12 26.85
## 51 18-Nov 8.12 28.36 36.91 26.61
## 52 25-Nov 8.79 27.21 36.67 27.33
## 53 02-Dec 7.33 28.97 36.97 26.73
## 54 09-Dec 6.67 29.82 37.76 25.76
## 55 16-Dec 9.21 28.36 36.12 26.30
## 56 23-Dec 8.73 29.03 34.79 27.45
## 57 30-Dec 7.94 29.21 36.36 26.48
## 58 Total 6.50 27.68 39.72 26.102.2 Distribution of Respondents
2.3 Distribution of Respondents vs BPS
https://sulut.bps.go.id/indicator/12/958/1/jumlah-penduduk-menurut-provinsi-di-indonesia.html
3 Vote Share
3.1 General Trend
3.1.1 Approval
## Warning in geom_label(aes(x = 25, y = 55), label = "MK's Ruling\nDPR's Defiance\nPublic Protests"): All aesthetics have length 1, but the data has 35 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing
## a single row.
## # Predicted values of polpref_jokowisatis2pt
##
## weeklab | Predicted | 95% CI
## ----------------------------------
## 26-Feb | 74.04 | 72.03, 76.04
## 04-Mar | 75.84 | 73.84, 77.85
## 11-Mar | 76.62 | 74.62, 78.63
## 18-Mar | 78.59 | 76.58, 80.59
## 25-Mar | 80.05 | 78.05, 82.06
## 01-Apr | 81.88 | 79.88, 83.89
## 08-Apr | 81.05 | 79.04, 83.07
## 15-Apr | 82.10 | 80.10, 84.11
## 22-Apr | 81.41 | 79.41, 83.41
## 29-Apr | 82.49 | 80.49, 84.50
## 06-May | 81.11 | 79.10, 83.11
## 13-May | 80.13 | 78.12, 82.13
## 20-May | 79.32 | 77.31, 81.32
## 27-May | 80.44 | 78.43, 82.44
## 03-Jun | 76.79 | 74.78, 78.79
## 10-Jun | 78.80 | 76.79, 80.80
## 17-Jun | 77.34 | 75.33, 79.34
## 24-Jun | 78.17 | 76.17, 80.17
## 01-Jul | 78.34 | 76.33, 80.34
## 08-Jul | 76.83 | 74.83, 78.83
## 15-Jul | 75.30 | 73.30, 77.31
## 22-Jul | 74.70 | 72.70, 76.71
## 29-Jul | 76.88 | 74.88, 78.89
## 05-Aug | 75.38 | 73.37, 77.38
## 12-Aug | 73.28 | 71.28, 75.29
## 19-Aug | 75.96 | 73.95, 77.96
## 26-Aug | 67.19 | 65.19, 69.19
## 02-Sep | 67.19 | 65.19, 69.20
## 09-Sep | 71.58 | 69.58, 73.58
## 16-Sep | 71.20 | 69.20, 73.21
## 23-Sep | 71.71 | 69.70, 73.71
## 30-Sep | 74.60 | 72.59, 76.60
## 07-Oct | 73.71 | 71.71, 75.72
## 14-Oct | 73.07 | 71.07, 75.08
## 21-Oct | 79.08 | 77.07, 81.093.1.2 Favorability
## # Predicted values of feelpol_president_jokowi2pt
##
## weeklab | Predicted | 95% CI | figure
## --------------------------------------------
## 17-Jun | 61.69 | 58.40, 64.99 | Jokowi
## 24-Jun | 65.27 | 62.00, 68.53 | Jokowi
## 01-Jul | 63.23 | 60.89, 65.56 | Jokowi
## 08-Jul | 59.30 | 56.96, 61.63 | Jokowi
## 15-Jul | 60.10 | 57.76, 62.44 | Jokowi
## 22-Jul | 59.52 | 57.18, 61.85 | Jokowi
## 29-Jul | 61.34 | 59.01, 63.68 | Jokowi
## 05-Aug | 61.51 | 59.17, 63.85 | Jokowi
## 12-Aug | 59.67 | 57.33, 62.01 | Jokowi
## 19-Aug | 58.62 | 56.28, 60.96 | Jokowi
## 26-Aug | 49.75 | 47.41, 52.09 | Jokowi
## 02-Sep | 52.22 | 49.89, 54.56 | Jokowi
## 09-Sep | 55.01 | 52.67, 57.34 | Jokowi
## 16-Sep | 53.83 | 51.50, 56.17 | Jokowi
## 23-Sep | 53.90 | 51.57, 56.24 | Jokowi
## 30-Sep | 55.97 | 53.63, 58.31 | Jokowi
## 07-Oct | 56.01 | 53.68, 58.35 | Jokowi
## 14-Oct | 54.28 | 51.94, 56.62 | Jokowi
## 21-Oct | 61.31 | 58.98, 63.65 | Jokowi
## 28-Oct | 63.46 | 61.12, 65.80 | Jokowi
## 04-Nov | 60.92 | 58.58, 63.25 | Jokowi
## 11-Nov | 62.89 | 60.55, 65.23 | Jokowi
## 18-Nov | 62.28 | 59.94, 64.61 | Jokowi
## 25-Nov | 61.70 | 59.36, 64.04 | Jokowi
## 02-Dec | 63.99 | 61.65, 66.33 | Jokowi
## 09-Dec | 62.64 | 60.30, 64.97 | Jokowi
## 16-Dec | 62.13 | 59.79, 64.47 | Jokowi
## 23-Dec | 65.29 | 62.95, 67.63 | Jokowi
## 30-Dec | 55.05 | 52.71, 57.38 | Jokowi
## 17-Jun | 56.58 | 53.38, 59.77 | Prabowo
## 24-Jun | 61.71 | 58.54, 64.88 | Prabowo
## 01-Jul | 59.80 | 57.53, 62.07 | Prabowo
## 08-Jul | 55.96 | 53.69, 58.23 | Prabowo
## 15-Jul | 59.25 | 56.98, 61.52 | Prabowo
## 22-Jul | 55.52 | 53.25, 57.78 | Prabowo
## 29-Jul | 62.07 | 59.81, 64.34 | Prabowo
## 05-Aug | 61.28 | 59.02, 63.55 | Prabowo
## 12-Aug | 59.61 | 57.34, 61.88 | Prabowo
## 19-Aug | 58.25 | 55.98, 60.52 | Prabowo
## 26-Aug | 56.36 | 54.09, 58.63 | Prabowo
## 02-Sep | 55.07 | 52.80, 57.34 | Prabowo
## 09-Sep | 58.71 | 56.45, 60.98 | Prabowo
## 16-Sep | 58.77 | 56.50, 61.03 | Prabowo
## 23-Sep | 58.27 | 56.00, 60.53 | Prabowo
## 30-Sep | 60.80 | 58.53, 63.06 | Prabowo
## 07-Oct | 61.84 | 59.57, 64.10 | Prabowo
## 14-Oct | 57.50 | 55.24, 59.77 | Prabowo
## 21-Oct | 68.31 | 66.04, 70.57 | Prabowo
## 28-Oct | 72.22 | 69.95, 74.49 | Prabowo
## 04-Nov | 70.36 | 68.09, 72.63 | Prabowo
## 11-Nov | 74.44 | 72.17, 76.70 | Prabowo
## 18-Nov | 73.35 | 71.08, 75.61 | Prabowo
## 25-Nov | 72.42 | 70.16, 74.69 | Prabowo
## 02-Dec | 74.00 | 71.73, 76.27 | Prabowo
## 09-Dec | 75.44 | 73.18, 77.71 | Prabowo
## 16-Dec | 73.02 | 70.75, 75.29 | Prabowo
## 23-Dec | 73.84 | 71.57, 76.11 | Prabowo
## 30-Dec | 66.99 | 64.72, 69.26 | Prabowo3.1.3 Combined
## Warning in geom_label(aes(x = 25, y = 55), label = "MK's Ruling\nDPR's Defiance\nPublic Protests"): All aesthetics have length 1, but the data has 35 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing
## a single row.
## All aesthetics have length 1, but the data has 35 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing
## a single row.3.2 By Java Island
3.2.1 Approval
3.2.2 Favorability
3.3 By Media
3.3.1 Approval
3.3.2 Favorability
4 Democratic Suitability
4.0.1 General
4.0.2 By Vote
