Overview

Dataset statistics

Number of variables21
Number of observations277
Missing cells1554
Missing cells (%)26.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.0 KiB
Average record size in memory188.5 B

Variable types

Text1
Numeric20

Dataset

Description경찰청 112신고분야 치안고객만족도 관서별 통계자료(응답자 특성, 종합만족도, 신고접수종합만족도, 신고접수전반적만족도, 신고접수요소만족도, 신고접수신속성, 신고접수담당자성실성, 신고접수담당자전문성, 현장처리종합만족도, 현장처리전반적만족도, 현장처리요소만족도, 업무처리절차 및 과정, 담당자응대태도, 서비스품질, 현장도착소요시간적절성, 현장사건처리신속성, 현장사건처리안내및설명, 담당경찰관성실성, 담당경찰관청렴성, 사건처리전문성, 사건처리공정성)
Author경찰청
URLhttps://www.data.go.kr/data/15064400/fileData.do

Alerts

신고접수종합 has 259 (93.5%) missing valuesMissing
신고접수전반적만족도 has 259 (93.5%) missing valuesMissing
신고접수요소만족도 has 259 (93.5%) missing valuesMissing
신고접수신속성 has 259 (93.5%) missing valuesMissing
신고접수담당자친절성 has 259 (93.5%) missing valuesMissing
신고접수담당자전문성 has 259 (93.5%) missing valuesMissing
응답자특성 has unique valuesUnique

Reproduction

Analysis started2024-03-23 06:14:10.537546
Analysis finished2024-03-23 06:14:11.168536
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

응답자특성
Text

UNIQUE 

Distinct277
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-03-23T06:14:11.706437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length6.1046931
Min length5

Characters and Unicode

Total characters1691
Distinct characters148
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique277 ?
Unique (%)100.0%

Sample

1st row서울특별시경찰청
2nd row부산광역시경찰청
3rd row대구광역시경찰청
4th row인천광역시경찰청
5th row광주광역시경찰청
ValueCountFrequency (%)
서울특별시경찰청 1
 
0.4%
천안서북경찰서 1
 
0.4%
태안경찰서 1
 
0.4%
청양경찰서 1
 
0.4%
금산경찰서 1
 
0.4%
서천경찰서 1
 
0.4%
부여경찰서 1
 
0.4%
예산경찰서 1
 
0.4%
당진경찰서 1
 
0.4%
양주경찰서 1
 
0.4%
Other values (267) 267
96.4%
2024-03-23T06:14:12.997920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 315
18.6%
경 285
16.9%
찰 277
16.4%
부 72
 
4.3%
산 45
 
2.7%
울 41
 
2.4%
천 36
 
2.1%
주 32
 
1.9%
청 28
 
1.7%
남 25
 
1.5%
Other values (138) 535
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1691
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 315
18.6%
경 285
16.9%
찰 277
16.4%
부 72
 
4.3%
산 45
 
2.7%
울 41
 
2.4%
천 36
 
2.1%
주 32
 
1.9%
청 28
 
1.7%
남 25
 
1.5%
Other values (138) 535
31.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1691
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 315
18.6%
경 285
16.9%
찰 277
16.4%
부 72
 
4.3%
산 45
 
2.7%
울 41
 
2.4%
천 36
 
2.1%
주 32
 
1.9%
청 28
 
1.7%
남 25
 
1.5%
Other values (138) 535
31.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1691
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 315
18.6%
경 285
16.9%
찰 277
16.4%
부 72
 
4.3%
산 45
 
2.7%
울 41
 
2.4%
천 36
 
2.1%
주 32
 
1.9%
청 28
 
1.7%
남 25
 
1.5%
Other values (138) 535
31.6%

종합만족도
Real number (ℝ)

Distinct78
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.906498
Minimum83.7
Maximum96.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:13.841490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.7
5-th percentile87.2
Q188.7
median89.8
Q390.9
95-th percentile93.7
Maximum96.2
Range12.5
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.934459
Coefficient of variation (CV)0.021516342
Kurtosis1.0226035
Mean89.906498
Median Absolute Deviation (MAD)1.1
Skewness0.43034681
Sum24904.1
Variance3.7421315
MonotonicityNot monotonic
2024-03-23T06:14:14.554049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.5 10
 
3.6%
89.5 9
 
3.2%
90.4 9
 
3.2%
88.9 8
 
2.9%
91.1 8
 
2.9%
90.0 8
 
2.9%
89.1 8
 
2.9%
89.7 7
 
2.5%
89.8 7
 
2.5%
89.0 7
 
2.5%
Other values (68) 196
70.8%
ValueCountFrequency (%)
83.7 1
 
0.4%
84.6 1
 
0.4%
85.3 1
 
0.4%
85.7 1
 
0.4%
85.8 1
 
0.4%
86.3 3
1.1%
86.4 1
 
0.4%
86.9 1
 
0.4%
87.0 1
 
0.4%
87.1 2
0.7%
ValueCountFrequency (%)
96.2 1
 
0.4%
95.9 1
 
0.4%
95.3 1
 
0.4%
95.0 1
 
0.4%
94.9 1
 
0.4%
94.8 1
 
0.4%
94.6 3
1.1%
94.2 2
0.7%
94.0 1
 
0.4%
93.8 1
 
0.4%

신고접수종합
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)83.3%
Missing259
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean91.083333
Minimum89.8
Maximum92.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:15.093089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89.8
5-th percentile89.97
Q190.725
median91.1
Q391.5
95-th percentile92.03
Maximum92.2
Range2.4
Interquartile range (IQR)0.775

Descriptive statistics

Standard deviation0.64008272
Coefficient of variation (CV)0.0070274406
Kurtosis-0.16789661
Mean91.083333
Median Absolute Deviation (MAD)0.4
Skewness-0.29137476
Sum1639.5
Variance0.40970588
MonotonicityNot monotonic
2024-03-23T06:14:15.715678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
91.5 2
 
0.7%
90.5 2
 
0.7%
91.1 2
 
0.7%
92.2 1
 
0.4%
90.7 1
 
0.4%
90.8 1
 
0.4%
90.9 1
 
0.4%
91.2 1
 
0.4%
91.6 1
 
0.4%
91.7 1
 
0.4%
Other values (5) 5
 
1.8%
(Missing) 259
93.5%
ValueCountFrequency (%)
89.8 1
0.4%
90.0 1
0.4%
90.5 2
0.7%
90.7 1
0.4%
90.8 1
0.4%
90.9 1
0.4%
91.0 1
0.4%
91.1 2
0.7%
91.2 1
0.4%
91.4 1
0.4%
ValueCountFrequency (%)
92.2 1
0.4%
92.0 1
0.4%
91.7 1
0.4%
91.6 1
0.4%
91.5 2
0.7%
91.4 1
0.4%
91.2 1
0.4%
91.1 2
0.7%
91.0 1
0.4%
90.9 1
0.4%

신고접수전반적만족도
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)77.8%
Missing259
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean89.688889
Minimum88.1
Maximum90.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:16.158058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88.1
5-th percentile88.355
Q189.3
median89.75
Q390.175
95-th percentile90.8
Maximum90.8
Range2.7
Interquartile range (IQR)0.875

Descriptive statistics

Standard deviation0.72670804
Coefficient of variation (CV)0.0081025426
Kurtosis0.24779586
Mean89.688889
Median Absolute Deviation (MAD)0.45
Skewness-0.54053263
Sum1614.4
Variance0.52810458
MonotonicityNot monotonic
2024-03-23T06:14:16.668087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
90.8 2
 
0.7%
89.3 2
 
0.7%
90.2 2
 
0.7%
89.7 2
 
0.7%
90.1 1
 
0.4%
89.2 1
 
0.4%
89.4 1
 
0.4%
89.8 1
 
0.4%
90.4 1
 
0.4%
90.0 1
 
0.4%
Other values (4) 4
 
1.4%
(Missing) 259
93.5%
ValueCountFrequency (%)
88.1 1
0.4%
88.4 1
0.4%
89.1 1
0.4%
89.2 1
0.4%
89.3 2
0.7%
89.4 1
0.4%
89.7 2
0.7%
89.8 1
0.4%
89.9 1
0.4%
90.0 1
0.4%
ValueCountFrequency (%)
90.8 2
0.7%
90.4 1
0.4%
90.2 2
0.7%
90.1 1
0.4%
90.0 1
0.4%
89.9 1
0.4%
89.8 1
0.4%
89.7 2
0.7%
89.4 1
0.4%
89.3 2
0.7%

신고접수요소만족도
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)61.1%
Missing259
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean91.683333
Minimum90.5
Maximum92.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:17.131825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.5
5-th percentile90.585
Q191.4
median91.7
Q392.1
95-th percentile92.53
Maximum92.7
Range2.2
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.60220184
Coefficient of variation (CV)0.0065682804
Kurtosis-0.20801808
Mean91.683333
Median Absolute Deviation (MAD)0.4
Skewness-0.39110328
Sum1650.3
Variance0.36264706
MonotonicityNot monotonic
2024-03-23T06:14:17.563093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
92.1 3
 
1.1%
91.6 3
 
1.1%
91.1 2
 
0.7%
91.4 2
 
0.7%
91.8 2
 
0.7%
92.7 1
 
0.4%
92.3 1
 
0.4%
92.0 1
 
0.4%
90.5 1
 
0.4%
92.5 1
 
0.4%
(Missing) 259
93.5%
ValueCountFrequency (%)
90.5 1
 
0.4%
90.6 1
 
0.4%
91.1 2
0.7%
91.4 2
0.7%
91.6 3
1.1%
91.8 2
0.7%
92.0 1
 
0.4%
92.1 3
1.1%
92.3 1
 
0.4%
92.5 1
 
0.4%
ValueCountFrequency (%)
92.7 1
 
0.4%
92.5 1
 
0.4%
92.3 1
 
0.4%
92.1 3
1.1%
92.0 1
 
0.4%
91.8 2
0.7%
91.6 3
1.1%
91.4 2
0.7%
91.1 2
0.7%
90.6 1
 
0.4%

신고접수신속성
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)83.3%
Missing259
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean91.733333
Minimum90.2
Maximum92.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:18.082711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.2
5-th percentile90.71
Q191.35
median91.75
Q392.175
95-th percentile92.515
Maximum92.6
Range2.4
Interquartile range (IQR)0.825

Descriptive statistics

Standard deviation0.62497059
Coefficient of variation (CV)0.0068129061
Kurtosis0.68272835
Mean91.733333
Median Absolute Deviation (MAD)0.45
Skewness-0.78039817
Sum1651.2
Variance0.39058824
MonotonicityNot monotonic
2024-03-23T06:14:18.627069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
92.4 2
 
0.7%
91.3 2
 
0.7%
91.7 2
 
0.7%
92.5 1
 
0.4%
91.5 1
 
0.4%
91.8 1
 
0.4%
92.2 1
 
0.4%
92.1 1
 
0.4%
90.2 1
 
0.4%
91.6 1
 
0.4%
Other values (5) 5
 
1.8%
(Missing) 259
93.5%
ValueCountFrequency (%)
90.2 1
0.4%
90.8 1
0.4%
91.2 1
0.4%
91.3 2
0.7%
91.5 1
0.4%
91.6 1
0.4%
91.7 2
0.7%
91.8 1
0.4%
91.9 1
0.4%
92.0 1
0.4%
ValueCountFrequency (%)
92.6 1
0.4%
92.5 1
0.4%
92.4 2
0.7%
92.2 1
0.4%
92.1 1
0.4%
92.0 1
0.4%
91.9 1
0.4%
91.8 1
0.4%
91.7 2
0.7%
91.6 1
0.4%

신고접수담당자친절성
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)83.3%
Missing259
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean92.355556
Minimum91.3
Maximum93.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:19.268812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91.3
5-th percentile91.385
Q192.025
median92.35
Q392.775
95-th percentile93.09
Maximum93.6
Range2.3
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.59727048
Coefficient of variation (CV)0.0064670769
Kurtosis-0.14185919
Mean92.355556
Median Absolute Deviation (MAD)0.4
Skewness-0.0042946073
Sum1662.4
Variance0.35673203
MonotonicityNot monotonic
2024-03-23T06:14:19.962497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
91.7 2
 
0.7%
92.3 2
 
0.7%
92.9 2
 
0.7%
92.7 1
 
0.4%
93.6 1
 
0.4%
92.0 1
 
0.4%
92.1 1
 
0.4%
92.4 1
 
0.4%
92.8 1
 
0.4%
93.0 1
 
0.4%
Other values (5) 5
 
1.8%
(Missing) 259
93.5%
ValueCountFrequency (%)
91.3 1
0.4%
91.4 1
0.4%
91.7 2
0.7%
92.0 1
0.4%
92.1 1
0.4%
92.2 1
0.4%
92.3 2
0.7%
92.4 1
0.4%
92.5 1
0.4%
92.6 1
0.4%
ValueCountFrequency (%)
93.6 1
0.4%
93.0 1
0.4%
92.9 2
0.7%
92.8 1
0.4%
92.7 1
0.4%
92.6 1
0.4%
92.5 1
0.4%
92.4 1
0.4%
92.3 2
0.7%
92.2 1
0.4%

신고접수담당자전문성
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)77.8%
Missing259
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean90.977778
Minimum89.7
Maximum92.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:20.839583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89.7
5-th percentile89.785
Q190.65
median91
Q391.375
95-th percentile91.945
Maximum92.2
Range2.5
Interquartile range (IQR)0.725

Descriptive statistics

Standard deviation0.65399726
Coefficient of variation (CV)0.0071885385
Kurtosis0.080592363
Mean90.977778
Median Absolute Deviation (MAD)0.4
Skewness-0.24960523
Sum1637.6
Variance0.42771242
MonotonicityNot monotonic
2024-03-23T06:14:21.258089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
90.4 2
 
0.7%
90.9 2
 
0.7%
90.8 2
 
0.7%
91.1 2
 
0.7%
91.3 1
 
0.4%
92.2 1
 
0.4%
90.6 1
 
0.4%
91.5 1
 
0.4%
91.6 1
 
0.4%
91.2 1
 
0.4%
Other values (4) 4
 
1.4%
(Missing) 259
93.5%
ValueCountFrequency (%)
89.7 1
0.4%
89.8 1
0.4%
90.4 2
0.7%
90.6 1
0.4%
90.8 2
0.7%
90.9 2
0.7%
91.1 2
0.7%
91.2 1
0.4%
91.3 1
0.4%
91.4 1
0.4%
ValueCountFrequency (%)
92.2 1
0.4%
91.9 1
0.4%
91.6 1
0.4%
91.5 1
0.4%
91.4 1
0.4%
91.3 1
0.4%
91.2 1
0.4%
91.1 2
0.7%
90.9 2
0.7%
90.8 2
0.7%

현장처리종합
Real number (ℝ)

Distinct78
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.871119
Minimum83.7
Maximum96.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:21.737568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.7
5-th percentile87.2
Q188.7
median89.7
Q390.9
95-th percentile93.7
Maximum96.2
Range12.5
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.9406866
Coefficient of variation (CV)0.021594107
Kurtosis1.0086955
Mean89.871119
Median Absolute Deviation (MAD)1.1
Skewness0.47328599
Sum24894.3
Variance3.7662643
MonotonicityNot monotonic
2024-03-23T06:14:22.414782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.5 10
 
3.6%
89.3 9
 
3.2%
88.5 9
 
3.2%
90.4 8
 
2.9%
91.1 8
 
2.9%
89.1 8
 
2.9%
87.5 7
 
2.5%
90.6 7
 
2.5%
90.5 7
 
2.5%
89.4 7
 
2.5%
Other values (68) 197
71.1%
ValueCountFrequency (%)
83.7 1
 
0.4%
84.6 1
 
0.4%
85.3 1
 
0.4%
85.7 1
 
0.4%
85.8 1
 
0.4%
86.3 3
1.1%
86.4 1
 
0.4%
86.9 1
 
0.4%
87.0 1
 
0.4%
87.1 2
0.7%
ValueCountFrequency (%)
96.2 1
 
0.4%
95.9 1
 
0.4%
95.3 1
 
0.4%
95.0 1
 
0.4%
94.9 1
 
0.4%
94.8 1
 
0.4%
94.6 3
1.1%
94.2 2
0.7%
94.0 1
 
0.4%
93.8 1
 
0.4%

현장처리전반적만족도
Real number (ℝ)

Distinct83
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.880144
Minimum82.5
Maximum95.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:22.895288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.5
5-th percentile86
Q187.5
median88.7
Q390
95-th percentile93.2
Maximum95.5
Range13
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.1014667
Coefficient of variation (CV)0.023643826
Kurtosis0.90893325
Mean88.880144
Median Absolute Deviation (MAD)1.2
Skewness0.5628888
Sum24619.8
Variance4.4161623
MonotonicityNot monotonic
2024-03-23T06:14:23.620919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.3 9
 
3.2%
88.7 8
 
2.9%
87.8 8
 
2.9%
87.4 8
 
2.9%
88.9 7
 
2.5%
89.7 7
 
2.5%
89.2 7
 
2.5%
88.5 7
 
2.5%
87.6 7
 
2.5%
88.1 7
 
2.5%
Other values (73) 202
72.9%
ValueCountFrequency (%)
82.5 1
0.4%
82.9 1
0.4%
84.5 1
0.4%
84.7 1
0.4%
85.2 1
0.4%
85.3 1
0.4%
85.5 2
0.7%
85.6 2
0.7%
85.8 2
0.7%
85.9 1
0.4%
ValueCountFrequency (%)
95.5 1
0.4%
95.1 1
0.4%
94.7 1
0.4%
94.6 1
0.4%
94.4 2
0.7%
94.3 1
0.4%
94.2 1
0.4%
94.0 1
0.4%
93.8 1
0.4%
93.7 1
0.4%

현장처리요소만족도
Real number (ℝ)

Distinct76
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.293502
Minimum84.1
Maximum96.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:24.197871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.1
5-th percentile87.76
Q189.2
median90.1
Q391.2
95-th percentile93.92
Maximum96.5
Range12.4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8865545
Coefficient of variation (CV)0.02089358
Kurtosis1.1017531
Mean90.293502
Median Absolute Deviation (MAD)1.1
Skewness0.41251476
Sum25011.3
Variance3.5590881
MonotonicityNot monotonic
2024-03-23T06:14:24.868192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.2 12
 
4.3%
89.2 11
 
4.0%
90.0 9
 
3.2%
89.9 8
 
2.9%
89.4 8
 
2.9%
89.1 8
 
2.9%
90.1 8
 
2.9%
89.7 7
 
2.5%
89.6 7
 
2.5%
89.5 7
 
2.5%
Other values (66) 192
69.3%
ValueCountFrequency (%)
84.1 1
 
0.4%
85.3 2
0.7%
86.1 1
 
0.4%
86.3 1
 
0.4%
86.6 2
0.7%
86.7 1
 
0.4%
87.0 1
 
0.4%
87.3 1
 
0.4%
87.5 1
 
0.4%
87.6 3
1.1%
ValueCountFrequency (%)
96.5 1
0.4%
96.3 1
0.4%
95.6 1
0.4%
95.2 1
0.4%
95.1 1
0.4%
95.0 2
0.7%
94.8 1
0.4%
94.7 1
0.4%
94.3 2
0.7%
94.2 1
0.4%

업무처리절차 및 과정
Real number (ℝ)

Distinct83
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.125271
Minimum83.8
Maximum96.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:25.344411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.8
5-th percentile86.2
Q187.9
median88.9
Q390.2
95-th percentile92.9
Maximum96.1
Range12.3
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation1.9764035
Coefficient of variation (CV)0.022175568
Kurtosis1.0827129
Mean89.125271
Median Absolute Deviation (MAD)1.1
Skewness0.50454623
Sum24687.7
Variance3.9061707
MonotonicityNot monotonic
2024-03-23T06:14:25.929312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.9 15
 
5.4%
88.6 10
 
3.6%
88.0 8
 
2.9%
87.8 8
 
2.9%
89.3 8
 
2.9%
90.3 8
 
2.9%
89.9 8
 
2.9%
88.3 8
 
2.9%
89.8 8
 
2.9%
89.5 7
 
2.5%
Other values (73) 189
68.2%
ValueCountFrequency (%)
83.8 1
0.4%
84.0 1
0.4%
84.2 1
0.4%
84.6 1
0.4%
84.9 1
0.4%
85.2 1
0.4%
85.5 1
0.4%
85.6 1
0.4%
85.8 2
0.7%
86.1 2
0.7%
ValueCountFrequency (%)
96.1 1
0.4%
95.8 1
0.4%
95.2 1
0.4%
94.4 1
0.4%
94.3 1
0.4%
93.8 2
0.7%
93.7 1
0.4%
93.5 1
0.4%
93.4 1
0.4%
93.1 1
0.4%

담당자응대태도
Real number (ℝ)

Distinct79
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.376534
Minimum84.5
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:26.377360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.5
5-th percentile88.88
Q190.3
median91.2
Q392.3
95-th percentile95.1
Maximum97
Range12.5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8639967
Coefficient of variation (CV)0.020399074
Kurtosis1.3690532
Mean91.376534
Median Absolute Deviation (MAD)1
Skewness0.32944469
Sum25311.3
Variance3.4744836
MonotonicityNot monotonic
2024-03-23T06:14:26.927112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.0 12
 
4.3%
90.3 11
 
4.0%
92.2 11
 
4.0%
90.5 9
 
3.2%
91.7 9
 
3.2%
91.2 8
 
2.9%
91.9 8
 
2.9%
92.3 8
 
2.9%
93.0 8
 
2.9%
90.6 8
 
2.9%
Other values (69) 185
66.8%
ValueCountFrequency (%)
84.5 1
0.4%
85.0 1
0.4%
87.1 1
0.4%
87.5 1
0.4%
87.7 1
0.4%
87.9 1
0.4%
88.0 1
0.4%
88.2 1
0.4%
88.4 1
0.4%
88.5 1
0.4%
ValueCountFrequency (%)
97.0 1
0.4%
96.8 2
0.7%
96.5 1
0.4%
96.3 1
0.4%
96.1 1
0.4%
96.0 1
0.4%
95.7 1
0.4%
95.5 1
0.4%
95.4 2
0.7%
95.2 1
0.4%

서비스품질
Real number (ℝ)

Distinct79
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.397112
Minimum83.7
Maximum96.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:27.465469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.7
5-th percentile87.6
Q189.2
median90.2
Q391.4
95-th percentile94.02
Maximum96.7
Range13
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.9155709
Coefficient of variation (CV)0.021190621
Kurtosis1.6487196
Mean90.397112
Median Absolute Deviation (MAD)1.1
Skewness0.32302191
Sum25040
Variance3.6694119
MonotonicityNot monotonic
2024-03-23T06:14:28.036426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.2 13
 
4.7%
90.1 11
 
4.0%
89.7 11
 
4.0%
90.8 10
 
3.6%
91.5 8
 
2.9%
90.9 8
 
2.9%
90.7 7
 
2.5%
91.7 7
 
2.5%
91.3 7
 
2.5%
90.2 7
 
2.5%
Other values (69) 188
67.9%
ValueCountFrequency (%)
83.7 1
0.4%
83.9 1
0.4%
84.6 1
0.4%
86.1 1
0.4%
86.2 1
0.4%
86.8 1
0.4%
87.2 1
0.4%
87.3 2
0.7%
87.4 1
0.4%
87.5 1
0.4%
ValueCountFrequency (%)
96.7 1
0.4%
96.5 1
0.4%
96.1 1
0.4%
95.5 1
0.4%
95.3 1
0.4%
95.2 1
0.4%
95.1 1
0.4%
95.0 2
0.7%
94.6 2
0.7%
94.4 1
0.4%

현장도착소요시간적절성
Real number (ℝ)

Distinct78
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.891336
Minimum83.9
Maximum96.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:28.736797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.9
5-th percentile87.1
Q188.7
median89.8
Q391
95-th percentile93.1
Maximum96.8
Range12.9
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation1.8816035
Coefficient of variation (CV)0.020931979
Kurtosis1.0635249
Mean89.891336
Median Absolute Deviation (MAD)1.2
Skewness0.33571586
Sum24899.9
Variance3.5404319
MonotonicityNot monotonic
2024-03-23T06:14:29.413519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.6 9
 
3.2%
89.1 9
 
3.2%
88.9 9
 
3.2%
90.1 9
 
3.2%
91.0 9
 
3.2%
89.0 8
 
2.9%
89.8 8
 
2.9%
88.7 8
 
2.9%
88.3 8
 
2.9%
90.5 7
 
2.5%
Other values (68) 193
69.7%
ValueCountFrequency (%)
83.9 1
0.4%
84.6 1
0.4%
85.2 1
0.4%
85.5 1
0.4%
85.9 1
0.4%
86.1 1
0.4%
86.3 1
0.4%
86.6 1
0.4%
86.7 1
0.4%
86.8 2
0.7%
ValueCountFrequency (%)
96.8 1
0.4%
95.7 1
0.4%
95.4 1
0.4%
94.7 2
0.7%
94.5 2
0.7%
94.3 1
0.4%
93.8 1
0.4%
93.7 2
0.7%
93.5 1
0.4%
93.2 1
0.4%

현장사건처리신속성
Real number (ℝ)

Distinct80
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.818051
Minimum83.7
Maximum95.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:29.863790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.7
5-th percentile87.08
Q188.7
median89.7
Q390.9
95-th percentile93.22
Maximum95.9
Range12.2
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.8920598
Coefficient of variation (CV)0.021065474
Kurtosis1.0755534
Mean89.818051
Median Absolute Deviation (MAD)1.1
Skewness0.34815668
Sum24879.6
Variance3.5798904
MonotonicityNot monotonic
2024-03-23T06:14:30.685624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.1 11
 
4.0%
89.6 11
 
4.0%
89.8 11
 
4.0%
88.9 9
 
3.2%
89.9 8
 
2.9%
90.0 8
 
2.9%
89.4 8
 
2.9%
91.2 8
 
2.9%
91.4 7
 
2.5%
88.7 7
 
2.5%
Other values (70) 189
68.2%
ValueCountFrequency (%)
83.7 1
0.4%
84.4 1
0.4%
85.0 1
0.4%
85.8 1
0.4%
85.9 2
0.7%
86.0 1
0.4%
86.4 2
0.7%
86.5 1
0.4%
86.7 1
0.4%
86.8 1
0.4%
ValueCountFrequency (%)
95.9 1
0.4%
95.7 2
0.7%
95.0 1
0.4%
94.7 1
0.4%
94.4 2
0.7%
94.3 1
0.4%
94.2 1
0.4%
93.7 1
0.4%
93.5 2
0.7%
93.4 1
0.4%

현장사건처리안내 및설명
Real number (ℝ)

Distinct94
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.669675
Minimum81.2
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:31.237705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.2
5-th percentile84.1
Q186.2
median87.5
Q388.9
95-th percentile92.5
Maximum96
Range14.8
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation2.452982
Coefficient of variation (CV)0.027979823
Kurtosis0.92597647
Mean87.669675
Median Absolute Deviation (MAD)1.3
Skewness0.62713937
Sum24284.5
Variance6.0171205
MonotonicityNot monotonic
2024-03-23T06:14:31.937949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.7 11
 
4.0%
87.5 10
 
3.6%
87.7 9
 
3.2%
87.8 9
 
3.2%
88.6 7
 
2.5%
88.0 7
 
2.5%
85.3 7
 
2.5%
86.1 7
 
2.5%
87.0 6
 
2.2%
87.3 6
 
2.2%
Other values (84) 198
71.5%
ValueCountFrequency (%)
81.2 1
0.4%
82.2 1
0.4%
82.4 1
0.4%
82.8 1
0.4%
82.9 1
0.4%
83.0 1
0.4%
83.2 1
0.4%
83.4 1
0.4%
83.6 2
0.7%
83.7 1
0.4%
ValueCountFrequency (%)
96.0 1
0.4%
95.6 1
0.4%
95.1 1
0.4%
94.2 1
0.4%
94.1 1
0.4%
93.9 1
0.4%
93.8 1
0.4%
93.5 2
0.7%
93.1 2
0.7%
92.7 1
0.4%

담당경찰관친절성
Real number (ℝ)

Distinct84
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.233574
Minimum82.2
Maximum96.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:32.476978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.2
5-th percentile87.5
Q189
median90.1
Q391.2
95-th percentile94.32
Maximum96.7
Range14.5
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation2.0669218
Coefficient of variation (CV)0.02290635
Kurtosis1.3077966
Mean90.233574
Median Absolute Deviation (MAD)1.1
Skewness0.28870084
Sum24994.7
Variance4.2721658
MonotonicityNot monotonic
2024-03-23T06:14:33.088486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.4 10
 
3.6%
91.7 9
 
3.2%
89.8 8
 
2.9%
90.6 8
 
2.9%
89.7 8
 
2.9%
89.5 8
 
2.9%
87.8 8
 
2.9%
89.0 7
 
2.5%
90.4 7
 
2.5%
91.1 7
 
2.5%
Other values (74) 197
71.1%
ValueCountFrequency (%)
82.2 1
0.4%
83.8 1
0.4%
85.5 1
0.4%
85.6 1
0.4%
86.0 1
0.4%
86.3 1
0.4%
86.5 1
0.4%
86.7 1
0.4%
86.9 2
0.7%
87.0 1
0.4%
ValueCountFrequency (%)
96.7 1
0.4%
96.3 1
0.4%
96.1 1
0.4%
95.7 1
0.4%
95.3 2
0.7%
95.2 1
0.4%
94.7 2
0.7%
94.6 1
0.4%
94.5 2
0.7%
94.4 2
0.7%

담당경찰관청렴성
Real number (ℝ)

Distinct71
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.525993
Minimum86.2
Maximum99.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:33.655634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.2
5-th percentile90.18
Q191.5
median92.4
Q393.4
95-th percentile95.92
Maximum99.5
Range13.3
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation1.7194042
Coefficient of variation (CV)0.018582932
Kurtosis1.8240659
Mean92.525993
Median Absolute Deviation (MAD)0.9
Skewness0.47564006
Sum25629.7
Variance2.9563509
MonotonicityNot monotonic
2024-03-23T06:14:34.390418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.9 17
 
6.1%
91.5 11
 
4.0%
92.9 10
 
3.6%
92.5 9
 
3.2%
91.8 9
 
3.2%
93.8 9
 
3.2%
91.7 8
 
2.9%
92.1 8
 
2.9%
93.0 8
 
2.9%
93.4 8
 
2.9%
Other values (61) 180
65.0%
ValueCountFrequency (%)
86.2 1
 
0.4%
86.9 1
 
0.4%
88.7 1
 
0.4%
89.3 1
 
0.4%
89.4 1
 
0.4%
89.5 2
0.7%
89.6 1
 
0.4%
89.8 3
1.1%
90.0 2
0.7%
90.1 1
 
0.4%
ValueCountFrequency (%)
99.5 1
0.4%
97.7 1
0.4%
97.6 1
0.4%
96.9 2
0.7%
96.8 1
0.4%
96.7 1
0.4%
96.3 2
0.7%
96.2 2
0.7%
96.1 2
0.7%
96.0 1
0.4%

사건처리전문성
Real number (ℝ)

Distinct84
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.875812
Minimum83.2
Maximum96.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:35.082316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.2
5-th percentile86.98
Q188.6
median89.7
Q390.8
95-th percentile93.74
Maximum96.4
Range13.2
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.9760596
Coefficient of variation (CV)0.021986556
Kurtosis1.3003679
Mean89.875812
Median Absolute Deviation (MAD)1.1
Skewness0.43333482
Sum24895.6
Variance3.9048114
MonotonicityNot monotonic
2024-03-23T06:14:35.790169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.3 13
 
4.7%
89.7 11
 
4.0%
89.8 9
 
3.2%
89.1 9
 
3.2%
91.5 8
 
2.9%
90.2 8
 
2.9%
90.4 8
 
2.9%
88.6 8
 
2.9%
90.7 8
 
2.9%
88.7 7
 
2.5%
Other values (74) 188
67.9%
ValueCountFrequency (%)
83.2 1
0.4%
84.4 1
0.4%
84.7 1
0.4%
85.4 1
0.4%
85.5 1
0.4%
86.0 1
0.4%
86.3 1
0.4%
86.4 1
0.4%
86.5 1
0.4%
86.7 1
0.4%
ValueCountFrequency (%)
96.4 1
0.4%
96.1 1
0.4%
95.5 1
0.4%
95.3 1
0.4%
95.1 1
0.4%
94.9 1
0.4%
94.8 2
0.7%
94.3 1
0.4%
94.2 1
0.4%
94.1 1
0.4%

사건처리공정성
Real number (ℝ)

Distinct78
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.916245
Minimum83.1
Maximum97.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T06:14:36.365567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.1
5-th percentile88.3
Q189.8
median90.8
Q391.9
95-th percentile94.32
Maximum97.2
Range14.1
Interquartile range (IQR)2.1

Descriptive statistics

Standard deviation1.8825254
Coefficient of variation (CV)0.02070615
Kurtosis2.2378811
Mean90.916245
Median Absolute Deviation (MAD)1.1
Skewness0.16728227
Sum25183.8
Variance3.5439018
MonotonicityNot monotonic
2024-03-23T06:14:36.872143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.3 11
 
4.0%
90.5 11
 
4.0%
90.0 9
 
3.2%
90.6 9
 
3.2%
90.4 9
 
3.2%
91.5 8
 
2.9%
91.2 8
 
2.9%
90.8 8
 
2.9%
92.3 7
 
2.5%
91.9 7
 
2.5%
Other values (68) 190
68.6%
ValueCountFrequency (%)
83.1 1
0.4%
84.3 1
0.4%
84.8 1
0.4%
86.7 1
0.4%
87.0 1
0.4%
87.6 1
0.4%
87.7 1
0.4%
87.8 1
0.4%
87.9 1
0.4%
88.0 1
0.4%
ValueCountFrequency (%)
97.2 1
0.4%
96.7 1
0.4%
96.6 1
0.4%
95.8 1
0.4%
95.7 1
0.4%
95.5 2
0.7%
95.4 1
0.4%
95.3 1
0.4%
95.2 1
0.4%
95.1 2
0.7%

Sample

응답자특성종합만족도신고접수종합신고접수전반적만족도신고접수요소만족도신고접수신속성신고접수담당자친절성신고접수담당자전문성현장처리종합현장처리전반적만족도현장처리요소만족도업무처리절차 및 과정담당자응대태도서비스품질현장도착소요시간적절성현장사건처리신속성현장사건처리안내 및설명담당경찰관친절성담당경찰관청렴성사건처리전문성사건처리공정성
0서울특별시경찰청90.291.590.192.192.492.791.389.688.590.188.991.290.290.289.986.789.892.689.690.8
1부산광역시경찰청90.992.290.892.792.593.692.290.389.490.789.591.790.889.890.188.590.692.990.391.4
2대구광역시경찰청89.390.589.291.191.391.790.488.887.789.288.090.389.589.188.786.189.091.788.990.0
3인천광역시경찰청89.390.789.391.491.592.090.688.787.689.288.090.389.289.188.985.989.191.688.789.8
4광주광역시경찰청89.890.889.491.491.392.190.989.388.289.888.690.990.089.089.187.689.891.989.590.5
5대전광역시경찰청89.890.989.391.691.792.390.889.388.189.888.691.089.889.389.087.389.792.389.290.4
6울산광역시경찰청89.791.289.891.891.892.491.189.087.989.588.190.789.789.189.186.189.591.989.290.2
7세종특별자치시경찰청90.491.690.492.192.292.891.589.988.890.488.691.790.988.989.587.590.493.090.491.5
8경기도남부경찰청90.191.790.292.392.493.091.689.588.489.988.791.090.089.889.786.789.892.389.590.5
9경기도북부경찰청89.991.490.092.092.192.691.289.388.289.788.590.989.889.289.387.089.792.089.390.4
응답자특성종합만족도신고접수종합신고접수전반적만족도신고접수요소만족도신고접수신속성신고접수담당자친절성신고접수담당자전문성현장처리종합현장처리전반적만족도현장처리요소만족도업무처리절차 및 과정담당자응대태도서비스품질현장도착소요시간적절성현장사건처리신속성현장사건처리안내 및설명담당경찰관친절성담당경찰관청렴성사건처리전문성사건처리공정성
267경남고성경찰서91.7<NA><NA><NA><NA><NA><NA>91.790.792.290.794.491.491.290.990.193.395.590.592.3
268하동경찰서92.1<NA><NA><NA><NA><NA><NA>92.191.592.490.693.892.891.989.490.692.894.892.693.1
269남해경찰서93.6<NA><NA><NA><NA><NA><NA>93.692.693.992.695.294.193.893.390.794.496.094.094.1
270함양경찰서87.7<NA><NA><NA><NA><NA><NA>87.786.088.488.489.287.690.589.485.487.890.586.388.9
271산청경찰서93.8<NA><NA><NA><NA><NA><NA>93.893.394.092.995.194.092.292.693.894.795.594.393.7
272함안경찰서90.5<NA><NA><NA><NA><NA><NA>90.589.091.289.193.091.488.389.689.592.093.990.392.6
273의령경찰서85.3<NA><NA><NA><NA><NA><NA>85.385.385.387.285.083.790.087.983.683.886.283.284.3
274제주동부경찰서90.0<NA><NA><NA><NA><NA><NA>90.089.090.489.191.490.689.690.087.790.292.690.291.0
275제주서부경찰서87.3<NA><NA><NA><NA><NA><NA>87.386.287.886.888.787.988.087.085.387.689.887.288.6
276서귀포경찰서88.2<NA><NA><NA><NA><NA><NA>88.287.188.787.490.088.787.688.086.788.491.787.989.6