Overview

Dataset statistics

Number of variables27
Number of observations292
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.3 KiB
Average record size in memory239.5 B

Variable types

Categorical3
Text1
Numeric23

Dataset

Description국가금연지원서비스 실적 정보로 주차별 금연유지평가 수행 및 결과 데이터 제공합니다.- 전국 보건소, 지역금연지원센터
Author한국건강증진개발원
URLhttps://www.data.go.kr/data/15092411/fileData.do

Alerts

서비스유형 is highly imbalanced (59.9%)Imbalance
성인인구 has 34 (11.6%) zerosZeros
흡연인구 has 34 (11.6%) zerosZeros
흡연율 has 34 (11.6%) zerosZeros
목표율 has 34 (11.6%) zerosZeros
흡연인구대비 등록률 has 34 (11.6%) zerosZeros
목표인구대비 등록률 has 34 (11.6%) zerosZeros

Reproduction

Analysis started2024-04-18 06:09:11.149841
Analysis finished2024-04-18 06:09:11.412120
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관유형
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
보건소
258 
금연지원센터
34 

Length

Max length6
Median length3
Mean length3.3493151
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보건소
2nd row보건소
3rd row보건소
4th row보건소
5th row보건소

Common Values

ValueCountFrequency (%)
보건소 258
88.4%
금연지원센터 34
 
11.6%

Length

2024-04-18T15:09:11.494304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:09:11.589817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건소 258
88.4%
금연지원센터 34
 
11.6%

지역
Categorical

Distinct17
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
경기도
52 
서울특별시
27 
경상북도
26 
전라남도
24 
경상남도
22 
Other values (12)
141 

Length

Max length7
Median length5
Mean length4.1506849
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row서울특별시
2nd row서울특별시
3rd row서울특별시
4th row서울특별시
5th row서울특별시

Common Values

ValueCountFrequency (%)
경기도 52
17.8%
서울특별시 27
9.2%
경상북도 26
8.9%
전라남도 24
8.2%
경상남도 22
7.5%
강원도 20
 
6.8%
부산광역시 18
 
6.2%
충청남도 18
 
6.2%
전라북도 16
 
5.5%
충청북도 16
 
5.5%
Other values (7) 53
18.2%

Length

2024-04-18T15:09:11.692383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 52
17.8%
서울특별시 27
9.2%
경상북도 26
8.9%
전라남도 24
8.2%
경상남도 22
7.5%
강원도 20
 
6.8%
부산광역시 18
 
6.2%
충청남도 18
 
6.2%
충청북도 16
 
5.5%
전라북도 16
 
5.5%
Other values (7) 53
18.2%

기관명
Text

Distinct275
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-18T15:09:11.884643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.4863014
Min length8

Characters and Unicode

Total characters2770
Distinct characters153
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique258 ?
Unique (%)88.4%

Sample

1st row서울 중랑구보건소
2nd row서울 마포구보건소
3rd row서울 성북구보건소
4th row서울 양천구보건소
5th row서울 강북구보건소
ValueCountFrequency (%)
경기 48
 
8.1%
서울 25
 
4.2%
경북 24
 
4.0%
전남 22
 
3.7%
경남 20
 
3.4%
강원 18
 
3.0%
충남 16
 
2.7%
부산 16
 
2.7%
충북 14
 
2.4%
전북 14
 
2.4%
Other values (273) 377
63.5%
2024-04-18T15:09:12.214668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
302
 
10.9%
보 261
 
9.4%
건 258
 
9.3%
소 244
 
8.8%
구 106
 
3.8%
시 105
 
3.8%
경 103
 
3.7%
원 85
 
3.1%
군 85
 
3.1%
남 83
 
3.0%
Other values (143) 1138
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2468
89.1%
Space Separator 302
 
10.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 261
 
10.6%
건 258
 
10.5%
소 244
 
9.9%
구 106
 
4.3%
시 105
 
4.3%
경 103
 
4.2%
원 85
 
3.4%
군 85
 
3.4%
남 83
 
3.4%
북 68
 
2.8%
Other values (142) 1070
43.4%
Space Separator
ValueCountFrequency (%)
302
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2468
89.1%
Common 302
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 261
 
10.6%
건 258
 
10.5%
소 244
 
9.9%
구 106
 
4.3%
시 105
 
4.3%
경 103
 
4.2%
원 85
 
3.4%
군 85
 
3.4%
남 83
 
3.4%
북 68
 
2.8%
Other values (142) 1070
43.4%
Common
ValueCountFrequency (%)
302
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2468
89.1%
ASCII 302
 
10.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
302
100.0%
Hangul
ValueCountFrequency (%)
보 261
 
10.6%
건 258
 
10.5%
소 244
 
9.9%
구 106
 
4.3%
시 105
 
4.3%
경 103
 
4.2%
원 85
 
3.4%
군 85
 
3.4%
남 83
 
3.4%
북 68
 
2.8%
Other values (142) 1070
43.4%

서비스유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
보건소 금연클리닉
258 
단기금연캠프
 
17
찾아가는 금연서비스
 
17

Length

Max length10
Median length9
Mean length8.8835616
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보건소 금연클리닉
2nd row보건소 금연클리닉
3rd row보건소 금연클리닉
4th row보건소 금연클리닉
5th row보건소 금연클리닉

Common Values

ValueCountFrequency (%)
보건소 금연클리닉 258
88.4%
단기금연캠프 17
 
5.8%
찾아가는 금연서비스 17
 
5.8%

Length

2024-04-18T15:09:12.352466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:09:12.452928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건소 258
45.5%
금연클리닉 258
45.5%
단기금연캠프 17
 
3.0%
찾아가는 17
 
3.0%
금연서비스 17
 
3.0%

성인인구
Real number (ℝ)

ZEROS 

Distinct259
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149529.45
Minimum0
Maximum558202
Zeros34
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:12.561846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q136224.75
median102407
Q3245622.75
95-th percentile398243.7
Maximum558202
Range558202
Interquartile range (IQR)209398

Descriptive statistics

Standard deviation133906.52
Coefficient of variation (CV)0.89551938
Kurtosis-0.40518013
Mean149529.45
Median Absolute Deviation (MAD)82797
Skewness0.76936452
Sum43662599
Variance1.7930956 × 1010
MonotonicityNot monotonic
2024-04-18T15:09:12.699888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
11.6%
343620 1
 
0.3%
33930 1
 
0.3%
236711 1
 
0.3%
21083 1
 
0.3%
222353 1
 
0.3%
22405 1
 
0.3%
543307 1
 
0.3%
213547 1
 
0.3%
45665 1
 
0.3%
Other values (249) 249
85.3%
ValueCountFrequency (%)
0 34
11.6%
8092 1
 
0.3%
14854 1
 
0.3%
18354 1
 
0.3%
18526 1
 
0.3%
19201 1
 
0.3%
20973 1
 
0.3%
21083 1
 
0.3%
21534 1
 
0.3%
22405 1
 
0.3%
ValueCountFrequency (%)
558202 1
0.3%
543307 1
0.3%
499018 1
0.3%
461119 1
0.3%
454416 1
0.3%
444795 1
0.3%
442514 1
0.3%
437792 1
0.3%
436480 1
0.3%
435579 1
0.3%

흡연인구
Real number (ℝ)

ZEROS 

Distinct257
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28215.264
Minimum0
Maximum109205
Zeros34
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:12.836242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17510.75
median20706
Q343155.5
95-th percentile75026.75
Maximum109205
Range109205
Interquartile range (IQR)35644.75

Descriptive statistics

Standard deviation24655.481
Coefficient of variation (CV)0.87383485
Kurtosis-0.13679985
Mean28215.264
Median Absolute Deviation (MAD)16463
Skewness0.80511714
Sum8238857
Variance6.0789272 × 108
MonotonicityNot monotonic
2024-04-18T15:09:12.973398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
11.6%
8021 2
 
0.7%
53459 2
 
0.7%
69411 1
 
0.3%
109205 1
 
0.3%
4263 1
 
0.3%
42371 1
 
0.3%
3816 1
 
0.3%
39356 1
 
0.3%
4302 1
 
0.3%
Other values (247) 247
84.6%
ValueCountFrequency (%)
0 34
11.6%
2072 1
 
0.3%
3058 1
 
0.3%
3104 1
 
0.3%
3193 1
 
0.3%
3816 1
 
0.3%
3818 1
 
0.3%
4076 1
 
0.3%
4263 1
 
0.3%
4294 1
 
0.3%
ValueCountFrequency (%)
109205 1
0.3%
94064 1
0.3%
93737 1
0.3%
90984 1
0.3%
90824 1
0.3%
90821 1
0.3%
88434 1
0.3%
84385 1
0.3%
84241 1
0.3%
83801 1
0.3%

흡연율
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.370548
Minimum0
Maximum29.3
Zeros34
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:13.096828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.8
median19.25
Q321.3
95-th percentile24.645
Maximum29.3
Range29.3
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation6.960963
Coefficient of variation (CV)0.40073365
Kurtosis1.8286069
Mean17.370548
Median Absolute Deviation (MAD)2.25
Skewness-1.6245725
Sum5072.2
Variance48.455006
MonotonicityNot monotonic
2024-04-18T15:09:13.230227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 34
 
11.6%
20.3 8
 
2.7%
20.7 7
 
2.4%
18.6 6
 
2.1%
21.0 6
 
2.1%
21.2 5
 
1.7%
18.7 5
 
1.7%
19.0 5
 
1.7%
18.0 5
 
1.7%
20.5 5
 
1.7%
Other values (98) 206
70.5%
ValueCountFrequency (%)
0.0 34
11.6%
10.1 1
 
0.3%
11.4 1
 
0.3%
13.1 4
 
1.4%
13.4 1
 
0.3%
13.5 1
 
0.3%
14.0 1
 
0.3%
14.1 2
 
0.7%
14.2 2
 
0.7%
14.3 1
 
0.3%
ValueCountFrequency (%)
29.3 1
0.3%
28.1 1
0.3%
26.7 1
0.3%
26.3 1
0.3%
25.7 1
0.3%
25.6 2
0.7%
25.1 1
0.3%
25.0 1
0.3%
24.9 2
0.7%
24.8 1
0.3%

목표인구
Real number (ℝ)

Distinct246
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean553.96233
Minimum41
Maximum3095
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:13.364539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile114.1
Q1252.75
median423
Q3736.5
95-th percentile1407.45
Maximum3095
Range3054
Interquartile range (IQR)483.75

Descriptive statistics

Standard deviation443.80409
Coefficient of variation (CV)0.80114489
Kurtosis6.1269036
Mean553.96233
Median Absolute Deviation (MAD)218.5
Skewness2.0712937
Sum161757
Variance196962.07
MonotonicityNot monotonic
2024-04-18T15:09:13.492353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178 4
 
1.4%
866 3
 
1.0%
383 3
 
1.0%
421 3
 
1.0%
653 3
 
1.0%
171 3
 
1.0%
375 3
 
1.0%
281 3
 
1.0%
327 3
 
1.0%
272 3
 
1.0%
Other values (236) 261
89.4%
ValueCountFrequency (%)
41 1
0.3%
48 1
0.3%
69 1
0.3%
70 1
0.3%
71 1
0.3%
83 1
0.3%
84 1
0.3%
88 1
0.3%
94 2
0.7%
95 1
0.3%
ValueCountFrequency (%)
3095 1
0.3%
2403 1
0.3%
2275 1
0.3%
2178 1
0.3%
2163 1
0.3%
2156 1
0.3%
1830 1
0.3%
1731 2
0.7%
1688 1
0.3%
1669 1
0.3%

목표율
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7363014
Minimum0
Maximum3.5
Zeros34
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:13.622706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32.6
95-th percentile3.5
Maximum3.5
Range3.5
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.0022573
Coefficient of variation (CV)0.57723692
Kurtosis-0.9162713
Mean1.7363014
Median Absolute Deviation (MAD)0.9
Skewness-0.092059137
Sum507
Variance1.0045196
MonotonicityNot monotonic
2024-04-18T15:09:13.738468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.0 63
21.6%
2.3 43
14.7%
2.6 36
12.3%
0.0 34
11.6%
1.1 25
 
8.6%
3.5 20
 
6.8%
2.2 19
 
6.5%
1.2 16
 
5.5%
2.8 16
 
5.5%
2.0 13
 
4.5%
Other values (2) 7
 
2.4%
ValueCountFrequency (%)
0.0 34
11.6%
1.0 63
21.6%
1.1 25
 
8.6%
1.2 16
 
5.5%
2.0 13
 
4.5%
2.2 19
 
6.5%
2.3 43
14.7%
2.4 1
 
0.3%
2.6 36
12.3%
2.8 16
 
5.5%
ValueCountFrequency (%)
3.5 20
6.8%
3.3 6
 
2.1%
2.8 16
 
5.5%
2.6 36
12.3%
2.4 1
 
0.3%
2.3 43
14.7%
2.2 19
6.5%
2.0 13
 
4.5%
1.2 16
 
5.5%
1.1 25
8.6%

등록자수
Real number (ℝ)

Distinct254
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean608.00685
Minimum53
Maximum2365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:13.862717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53
5-th percentile179.1
Q1308.75
median516
Q3847.75
95-th percentile1338.7
Maximum2365
Range2312
Interquartile range (IQR)539

Descriptive statistics

Standard deviation386.23785
Coefficient of variation (CV)0.63525247
Kurtosis2.7279287
Mean608.00685
Median Absolute Deviation (MAD)228
Skewness1.3654026
Sum177538
Variance149179.68
MonotonicityNot monotonic
2024-04-18T15:09:15.029255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
299 3
 
1.0%
310 3
 
1.0%
730 3
 
1.0%
942 3
 
1.0%
158 2
 
0.7%
388 2
 
0.7%
481 2
 
0.7%
417 2
 
0.7%
373 2
 
0.7%
473 2
 
0.7%
Other values (244) 268
91.8%
ValueCountFrequency (%)
53 1
0.3%
60 1
0.3%
108 1
0.3%
111 1
0.3%
119 1
0.3%
121 2
0.7%
134 1
0.3%
145 1
0.3%
150 1
0.3%
158 2
0.7%
ValueCountFrequency (%)
2365 1
0.3%
2199 1
0.3%
2115 1
0.3%
2029 1
0.3%
1773 1
0.3%
1614 1
0.3%
1511 1
0.3%
1450 1
0.3%
1447 1
0.3%
1440 1
0.3%

흡연인구대비 등록률
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1811644
Minimum0
Maximum7.2
Zeros34
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:15.147299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.3
median1.95
Q33
95-th percentile4.645
Maximum7.2
Range7.2
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation1.4111807
Coefficient of variation (CV)0.64698502
Kurtosis0.38921282
Mean2.1811644
Median Absolute Deviation (MAD)0.85
Skewness0.61078675
Sum636.9
Variance1.9914309
MonotonicityNot monotonic
2024-04-18T15:09:15.280754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 34
 
11.6%
1.7 17
 
5.8%
1.4 14
 
4.8%
1.1 11
 
3.8%
2.0 10
 
3.4%
1.8 10
 
3.4%
1.6 10
 
3.4%
1.2 10
 
3.4%
3.1 9
 
3.1%
2.7 9
 
3.1%
Other values (42) 158
54.1%
ValueCountFrequency (%)
0.0 34
11.6%
0.5 1
 
0.3%
0.7 2
 
0.7%
0.8 2
 
0.7%
0.9 3
 
1.0%
1.0 9
 
3.1%
1.1 11
 
3.8%
1.2 10
 
3.4%
1.3 8
 
2.7%
1.4 14
4.8%
ValueCountFrequency (%)
7.2 1
 
0.3%
6.4 1
 
0.3%
6.0 1
 
0.3%
5.9 3
1.0%
5.8 1
 
0.3%
5.5 1
 
0.3%
5.4 2
0.7%
5.0 2
0.7%
4.8 1
 
0.3%
4.7 2
0.7%

목표인구대비 등록률
Real number (ℝ)

ZEROS 

Distinct248
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.93596
Minimum0
Maximum336.8
Zeros34
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:15.417867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177.725
median117.85
Q3164.15
95-th percentile253.225
Maximum336.8
Range336.8
Interquartile range (IQR)86.425

Descriptive statistics

Standard deviation71.398469
Coefficient of variation (CV)0.59530494
Kurtosis0.10649487
Mean119.93596
Median Absolute Deviation (MAD)42.1
Skewness0.29686285
Sum35021.3
Variance5097.7414
MonotonicityNot monotonic
2024-04-18T15:09:15.557480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 34
 
11.6%
111.3 2
 
0.7%
138.5 2
 
0.7%
140.3 2
 
0.7%
78.0 2
 
0.7%
139.6 2
 
0.7%
117.4 2
 
0.7%
147.8 2
 
0.7%
75.6 2
 
0.7%
159.2 2
 
0.7%
Other values (238) 240
82.2%
ValueCountFrequency (%)
0.0 34
11.6%
27.2 1
 
0.3%
34.4 1
 
0.3%
35.6 1
 
0.3%
36.6 1
 
0.3%
37.7 1
 
0.3%
38.5 1
 
0.3%
39.1 1
 
0.3%
44.4 1
 
0.3%
44.8 1
 
0.3%
ValueCountFrequency (%)
336.8 1
0.3%
336.3 1
0.3%
314.4 1
0.3%
300.0 1
0.3%
278.7 1
0.3%
278.4 1
0.3%
274.2 1
0.3%
271.6 1
0.3%
270.7 1
0.3%
269.8 1
0.3%

결심자
Real number (ℝ)

Distinct253
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean597.36986
Minimum53
Maximum2364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:15.706176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53
5-th percentile179.1
Q1306.75
median515
Q3835.25
95-th percentile1323.35
Maximum2364
Range2311
Interquartile range (IQR)528.5

Descriptive statistics

Standard deviation373.22482
Coefficient of variation (CV)0.62478012
Kurtosis2.6342757
Mean597.36986
Median Absolute Deviation (MAD)229
Skewness1.3105981
Sum174432
Variance139296.76
MonotonicityNot monotonic
2024-04-18T15:09:15.839905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
942 3
 
1.0%
484 3
 
1.0%
327 3
 
1.0%
310 3
 
1.0%
299 3
 
1.0%
730 3
 
1.0%
373 2
 
0.7%
567 2
 
0.7%
246 2
 
0.7%
229 2
 
0.7%
Other values (243) 266
91.1%
ValueCountFrequency (%)
53 1
0.3%
60 1
0.3%
108 1
0.3%
111 1
0.3%
119 1
0.3%
121 2
0.7%
125 1
0.3%
145 1
0.3%
150 1
0.3%
158 2
0.7%
ValueCountFrequency (%)
2364 1
0.3%
2195 1
0.3%
2029 1
0.3%
1668 1
0.3%
1614 1
0.3%
1511 1
0.3%
1450 1
0.3%
1447 1
0.3%
1440 1
0.3%
1436 1
0.3%

금연결심률
Real number (ℝ)

Distinct26
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.931507
Minimum35.2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:15.956706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.2
5-th percentile97.81
Q1100
median100
Q3100
95-th percentile100
Maximum100
Range64.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.1447293
Coefficient of variation (CV)0.062110944
Kurtosis60.735062
Mean98.931507
Median Absolute Deviation (MAD)0
Skewness-7.481621
Sum28888
Variance37.757698
MonotonicityNot monotonic
2024-04-18T15:09:16.063529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
100.0 245
83.9%
99.8 11
 
3.8%
99.9 6
 
2.1%
99.7 5
 
1.7%
99.6 3
 
1.0%
99.5 2
 
0.7%
93.3 1
 
0.3%
60.1 1
 
0.3%
66.1 1
 
0.3%
35.2 1
 
0.3%
Other values (16) 16
 
5.5%
ValueCountFrequency (%)
35.2 1
0.3%
56.6 1
0.3%
58.5 1
0.3%
60.1 1
0.3%
66.1 1
0.3%
82.4 1
0.3%
88.7 1
0.3%
90.4 1
0.3%
91.6 1
0.3%
92.1 1
0.3%
ValueCountFrequency (%)
100.0 245
83.9%
99.9 6
 
2.1%
99.8 11
 
3.8%
99.7 5
 
1.7%
99.6 3
 
1.0%
99.5 2
 
0.7%
99.1 1
 
0.3%
99.0 1
 
0.3%
98.7 1
 
0.3%
98.5 1
 
0.3%

서비스 제공률
Real number (ℝ)

Distinct271
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.69692
Minimum27.2
Maximum336.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:16.186210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27.2
5-th percentile47.455
Q191.675
median117.45
Q3164.15
95-th percentile248.01
Maximum336.3
Range309.1
Interquartile range (IQR)72.475

Descriptive statistics

Standard deviation57.270255
Coefficient of variation (CV)0.4415699
Kurtosis0.68670511
Mean129.69692
Median Absolute Deviation (MAD)30.55
Skewness0.86800709
Sum37871.5
Variance3279.8821
MonotonicityNot monotonic
2024-04-18T15:09:16.315733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 3
 
1.0%
91.1 2
 
0.7%
94.8 2
 
0.7%
143.9 2
 
0.7%
98.5 2
 
0.7%
119.5 2
 
0.7%
190.5 2
 
0.7%
139.6 2
 
0.7%
101.5 2
 
0.7%
100.3 2
 
0.7%
Other values (261) 271
92.8%
ValueCountFrequency (%)
27.2 1
0.3%
34.4 1
0.3%
35.5 2
0.7%
36.5 1
0.3%
36.6 1
0.3%
37.6 1
0.3%
38.5 1
0.3%
39.1 1
0.3%
44.4 1
0.3%
44.8 1
0.3%
ValueCountFrequency (%)
336.3 1
0.3%
314.4 1
0.3%
293.0 1
0.3%
278.7 1
0.3%
278.4 1
0.3%
274.2 1
0.3%
271.6 1
0.3%
270.7 1
0.3%
269.8 1
0.3%
265.2 1
0.3%

4주 경과자
Real number (ℝ)

Distinct259
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean593.04795
Minimum55
Maximum2369
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:16.445827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile174.55
Q1303.75
median507.5
Q3817.5
95-th percentile1298.65
Maximum2369
Range2314
Interquartile range (IQR)513.75

Descriptive statistics

Standard deviation374.20473
Coefficient of variation (CV)0.63098563
Kurtosis2.9577199
Mean593.04795
Median Absolute Deviation (MAD)225
Skewness1.3746742
Sum173170
Variance140029.18
MonotonicityNot monotonic
2024-04-18T15:09:16.574226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
724 3
 
1.0%
933 3
 
1.0%
240 3
 
1.0%
193 3
 
1.0%
291 2
 
0.7%
492 2
 
0.7%
644 2
 
0.7%
673 2
 
0.7%
357 2
 
0.7%
740 2
 
0.7%
Other values (249) 268
91.8%
ValueCountFrequency (%)
55 1
0.3%
60 1
0.3%
106 1
0.3%
107 1
0.3%
109 1
0.3%
116 1
0.3%
118 1
0.3%
122 1
0.3%
148 1
0.3%
150 1
0.3%
ValueCountFrequency (%)
2369 1
0.3%
2185 1
0.3%
2156 1
0.3%
1678 1
0.3%
1625 1
0.3%
1542 1
0.3%
1475 1
0.3%
1468 1
0.3%
1448 1
0.3%
1425 1
0.3%

4주 성공자
Real number (ℝ)

Distinct237
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean410.03425
Minimum5
Maximum1847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:16.697312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile86.1
Q1207
median349.5
Q3536.75
95-th percentile972.45
Maximum1847
Range1842
Interquartile range (IQR)329.75

Descriptive statistics

Standard deviation270.52332
Coefficient of variation (CV)0.65975786
Kurtosis2.4473344
Mean410.03425
Median Absolute Deviation (MAD)160
Skewness1.2707026
Sum119730
Variance73182.865
MonotonicityNot monotonic
2024-04-18T15:09:16.828845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
272 4
 
1.4%
207 4
 
1.4%
74 4
 
1.4%
393 3
 
1.0%
216 3
 
1.0%
260 3
 
1.0%
503 3
 
1.0%
269 3
 
1.0%
369 2
 
0.7%
144 2
 
0.7%
Other values (227) 261
89.4%
ValueCountFrequency (%)
5 1
 
0.3%
9 1
 
0.3%
26 1
 
0.3%
28 1
 
0.3%
51 1
 
0.3%
57 1
 
0.3%
60 1
 
0.3%
68 1
 
0.3%
74 4
1.4%
77 1
 
0.3%
ValueCountFrequency (%)
1847 1
0.3%
1168 1
0.3%
1129 1
0.3%
1125 1
0.3%
1097 1
0.3%
1088 1
0.3%
1082 1
0.3%
1051 1
0.3%
1032 1
0.3%
1031 1
0.3%

4주 성공률
Real number (ℝ)

Distinct230
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.648973
Minimum3.8
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:16.971359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile31.42
Q155.85
median73
Q387.2
95-th percentile97.745
Maximum100
Range96.2
Interquartile range (IQR)31.35

Descriptive statistics

Standard deviation20.739554
Coefficient of variation (CV)0.29355776
Kurtosis0.1427032
Mean70.648973
Median Absolute Deviation (MAD)14.85
Skewness-0.77691453
Sum20629.5
Variance430.12911
MonotonicityNot monotonic
2024-04-18T15:09:17.120691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.1 3
 
1.0%
88.2 3
 
1.0%
100.0 3
 
1.0%
85.3 3
 
1.0%
86.7 3
 
1.0%
96.9 3
 
1.0%
98.9 3
 
1.0%
69.5 2
 
0.7%
46.3 2
 
0.7%
73.0 2
 
0.7%
Other values (220) 265
90.8%
ValueCountFrequency (%)
3.8 1
0.3%
9.1 1
0.3%
10.2 1
0.3%
11.6 1
0.3%
11.7 1
0.3%
18.0 1
0.3%
19.8 1
0.3%
20.5 1
0.3%
22.0 1
0.3%
24.6 1
0.3%
ValueCountFrequency (%)
100.0 3
1.0%
99.8 1
 
0.3%
99.5 2
0.7%
98.9 3
1.0%
98.7 2
0.7%
98.5 1
 
0.3%
98.3 1
 
0.3%
97.8 2
0.7%
97.7 1
 
0.3%
97.0 1
 
0.3%

6주 경과자
Real number (ℝ)

Distinct260
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean588.41438
Minimum54
Maximum2366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:17.247391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54
5-th percentile169.85
Q1299.75
median503
Q3803.5
95-th percentile1298.15
Maximum2366
Range2312
Interquartile range (IQR)503.75

Descriptive statistics

Standard deviation375.16071
Coefficient of variation (CV)0.63757909
Kurtosis3.2086963
Mean588.41438
Median Absolute Deviation (MAD)228
Skewness1.4273
Sum171817
Variance140745.56
MonotonicityNot monotonic
2024-04-18T15:09:17.369333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198 4
 
1.4%
734 3
 
1.0%
298 3
 
1.0%
1088 2
 
0.7%
300 2
 
0.7%
196 2
 
0.7%
603 2
 
0.7%
696 2
 
0.7%
185 2
 
0.7%
482 2
 
0.7%
Other values (250) 268
91.8%
ValueCountFrequency (%)
54 1
0.3%
61 1
0.3%
105 2
0.7%
107 1
0.3%
113 1
0.3%
114 1
0.3%
127 1
0.3%
145 1
0.3%
146 1
0.3%
154 2
0.7%
ValueCountFrequency (%)
2366 1
0.3%
2211 1
0.3%
2197 1
0.3%
1689 1
0.3%
1644 1
0.3%
1615 1
0.3%
1556 1
0.3%
1448 1
0.3%
1415 1
0.3%
1390 1
0.3%

6주 성공자
Real number (ℝ)

Distinct241
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean361.04795
Minimum6
Maximum1650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:17.492169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile80.65
Q1184.5
median301.5
Q3482.25
95-th percentile813.35
Maximum1650
Range1644
Interquartile range (IQR)297.75

Descriptive statistics

Standard deviation237.59124
Coefficient of variation (CV)0.65806009
Kurtosis2.7189237
Mean361.04795
Median Absolute Deviation (MAD)137.5
Skewness1.3029143
Sum105426
Variance56449.599
MonotonicityNot monotonic
2024-04-18T15:09:17.672611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
247 5
 
1.7%
222 3
 
1.0%
765 3
 
1.0%
142 3
 
1.0%
178 3
 
1.0%
181 3
 
1.0%
285 3
 
1.0%
345 2
 
0.7%
573 2
 
0.7%
325 2
 
0.7%
Other values (231) 263
90.1%
ValueCountFrequency (%)
6 1
0.3%
9 1
0.3%
27 1
0.3%
28 1
0.3%
50 1
0.3%
53 1
0.3%
61 1
0.3%
64 2
0.7%
65 2
0.7%
69 1
0.3%
ValueCountFrequency (%)
1650 1
0.3%
1084 1
0.3%
996 1
0.3%
986 1
0.3%
979 1
0.3%
962 1
0.3%
960 2
0.7%
952 1
0.3%
915 1
0.3%
880 1
0.3%

6주 성공률
Real number (ℝ)

Distinct230
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.685616
Minimum3.9
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:17.848396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile27.975
Q148.775
median65.3
Q380.2
95-th percentile94.535
Maximum100
Range96.1
Interquartile range (IQR)31.425

Descriptive statistics

Standard deviation20.807255
Coefficient of variation (CV)0.32671828
Kurtosis-0.46831575
Mean63.685616
Median Absolute Deviation (MAD)15.2
Skewness-0.38052293
Sum18596.2
Variance432.94185
MonotonicityNot monotonic
2024-04-18T15:09:17.998864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.5 4
 
1.4%
80.2 4
 
1.4%
37.6 3
 
1.0%
58.6 3
 
1.0%
41.8 3
 
1.0%
100.0 3
 
1.0%
44.6 3
 
1.0%
91.2 3
 
1.0%
78.9 3
 
1.0%
44.8 3
 
1.0%
Other values (220) 260
89.0%
ValueCountFrequency (%)
3.9 1
0.3%
10.7 1
0.3%
11.1 1
0.3%
12.4 2
0.7%
17.2 1
0.3%
18.0 1
0.3%
19.6 1
0.3%
21.0 1
0.3%
25.2 1
0.3%
26.1 2
0.7%
ValueCountFrequency (%)
100.0 3
1.0%
99.6 1
 
0.3%
99.3 1
 
0.3%
98.9 1
 
0.3%
98.6 1
 
0.3%
98.3 1
 
0.3%
97.3 1
 
0.3%
97.0 1
 
0.3%
96.2 1
 
0.3%
96.0 1
 
0.3%

12주 경과자
Real number (ℝ)

Distinct247
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean577.87329
Minimum59
Maximum2280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:18.127588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59
5-th percentile163.55
Q1296.75
median498
Q3774.75
95-th percentile1270.5
Maximum2280
Range2221
Interquartile range (IQR)478

Descriptive statistics

Standard deviation375.76293
Coefficient of variation (CV)0.65025143
Kurtosis3.4569344
Mean577.87329
Median Absolute Deviation (MAD)226
Skewness1.5120765
Sum168739
Variance141197.78
MonotonicityNot monotonic
2024-04-18T15:09:18.252137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
308 4
 
1.4%
856 3
 
1.0%
438 3
 
1.0%
708 2
 
0.7%
571 2
 
0.7%
666 2
 
0.7%
826 2
 
0.7%
192 2
 
0.7%
582 2
 
0.7%
114 2
 
0.7%
Other values (237) 268
91.8%
ValueCountFrequency (%)
59 1
0.3%
65 1
0.3%
106 1
0.3%
108 1
0.3%
110 1
0.3%
112 1
0.3%
114 2
0.7%
144 1
0.3%
147 1
0.3%
149 1
0.3%
ValueCountFrequency (%)
2280 1
0.3%
2253 1
0.3%
2227 1
0.3%
1784 1
0.3%
1667 1
0.3%
1584 1
0.3%
1580 1
0.3%
1547 1
0.3%
1519 1
0.3%
1415 1
0.3%

12주 성공자
Real number (ℝ)

Distinct225
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean274.7774
Minimum10
Maximum1413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:18.379845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile58.55
Q1149
median225.5
Q3369.25
95-th percentile615.35
Maximum1413
Range1403
Interquartile range (IQR)220.25

Descriptive statistics

Standard deviation184.33086
Coefficient of variation (CV)0.67083704
Kurtosis5.1014685
Mean274.7774
Median Absolute Deviation (MAD)110
Skewness1.6212332
Sum80235
Variance33977.864
MonotonicityNot monotonic
2024-04-18T15:09:18.504889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
250 4
 
1.4%
96 4
 
1.4%
237 4
 
1.4%
202 3
 
1.0%
161 3
 
1.0%
151 3
 
1.0%
166 3
 
1.0%
197 3
 
1.0%
88 3
 
1.0%
99 3
 
1.0%
Other values (215) 259
88.7%
ValueCountFrequency (%)
10 1
0.3%
18 1
0.3%
26 1
0.3%
33 1
0.3%
35 1
0.3%
41 1
0.3%
45 1
0.3%
46 1
0.3%
48 1
0.3%
49 1
0.3%
ValueCountFrequency (%)
1413 1
0.3%
935 1
0.3%
837 1
0.3%
835 1
0.3%
771 1
0.3%
762 1
0.3%
746 1
0.3%
723 1
0.3%
691 1
0.3%
670 1
0.3%

12주 성공률
Real number (ℝ)

Distinct246
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.374315
Minimum8.4
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:18.635580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.4
5-th percentile20.765
Q136
median50.1
Q362.725
95-th percentile82.77
Maximum100
Range91.6
Interquartile range (IQR)26.725

Descriptive statistics

Standard deviation19.274629
Coefficient of variation (CV)0.38262811
Kurtosis-0.39303589
Mean50.374315
Median Absolute Deviation (MAD)13.75
Skewness0.24178872
Sum14709.3
Variance371.51133
MonotonicityNot monotonic
2024-04-18T15:09:18.766848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.2 3
 
1.0%
32.9 3
 
1.0%
72.3 3
 
1.0%
39.4 2
 
0.7%
35.0 2
 
0.7%
25.6 2
 
0.7%
31.2 2
 
0.7%
74.6 2
 
0.7%
54.8 2
 
0.7%
61.1 2
 
0.7%
Other values (236) 269
92.1%
ValueCountFrequency (%)
8.4 1
0.3%
12.3 1
0.3%
12.5 1
0.3%
13.0 1
0.3%
13.4 1
0.3%
15.0 1
0.3%
15.3 1
0.3%
16.8 2
0.7%
16.9 1
0.3%
17.4 1
0.3%
ValueCountFrequency (%)
100.0 1
0.3%
99.0 1
0.3%
98.9 1
0.3%
98.3 1
0.3%
93.5 1
0.3%
92.1 1
0.3%
92.0 1
0.3%
91.1 1
0.3%
90.9 1
0.3%
90.8 1
0.3%

6개월 경과자
Real number (ℝ)

Distinct246
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean540.50685
Minimum61
Maximum2103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:18.896720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile159.65
Q1274
median472.5
Q3695.25
95-th percentile1239.05
Maximum2103
Range2042
Interquartile range (IQR)421.25

Descriptive statistics

Standard deviation353.06719
Coefficient of variation (CV)0.65321502
Kurtosis3.413528
Mean540.50685
Median Absolute Deviation (MAD)201.5
Skewness1.5616722
Sum157828
Variance124656.44
MonotonicityNot monotonic
2024-04-18T15:09:19.052094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
274 3
 
1.0%
346 3
 
1.0%
561 3
 
1.0%
211 3
 
1.0%
389 3
 
1.0%
165 3
 
1.0%
260 3
 
1.0%
406 3
 
1.0%
388 3
 
1.0%
653 3
 
1.0%
Other values (236) 262
89.7%
ValueCountFrequency (%)
61 1
0.3%
77 1
0.3%
98 1
0.3%
100 1
0.3%
116 1
0.3%
120 1
0.3%
124 1
0.3%
127 1
0.3%
132 1
0.3%
140 1
0.3%
ValueCountFrequency (%)
2103 1
0.3%
2067 1
0.3%
2059 1
0.3%
1682 1
0.3%
1671 1
0.3%
1551 1
0.3%
1514 1
0.3%
1481 1
0.3%
1477 1
0.3%
1356 1
0.3%

6개월 성공자
Real number (ℝ)

Distinct193
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173.99658
Minimum11
Maximum1027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:19.191030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile42.55
Q192.25
median153.5
Q3235
95-th percentile363.45
Maximum1027
Range1016
Interquartile range (IQR)142.75

Descriptive statistics

Standard deviation116.93066
Coefficient of variation (CV)0.67202853
Kurtosis9.8849683
Mean173.99658
Median Absolute Deviation (MAD)74.5
Skewness2.060854
Sum50807
Variance13672.78
MonotonicityNot monotonic
2024-04-18T15:09:19.322411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 6
 
2.1%
146 5
 
1.7%
149 4
 
1.4%
55 4
 
1.4%
172 4
 
1.4%
260 3
 
1.0%
52 3
 
1.0%
194 3
 
1.0%
96 3
 
1.0%
100 3
 
1.0%
Other values (183) 254
87.0%
ValueCountFrequency (%)
11 1
0.3%
14 1
0.3%
18 1
0.3%
25 1
0.3%
29 1
0.3%
30 2
0.7%
32 2
0.7%
34 1
0.3%
35 1
0.3%
37 1
0.3%
ValueCountFrequency (%)
1027 1
0.3%
651 1
0.3%
552 1
0.3%
504 1
0.3%
499 1
0.3%
464 1
0.3%
428 1
0.3%
421 1
0.3%
417 1
0.3%
396 1
0.3%

6개월 성공률
Real number (ℝ)

Distinct210
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.562671
Minimum8.9
Maximum80.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-18T15:09:19.449884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.9
5-th percentile15.775
Q125.65
median32.8
Q339.7
95-th percentile53.07
Maximum80.3
Range71.4
Interquartile range (IQR)14.05

Descriptive statistics

Standard deviation11.717145
Coefficient of variation (CV)0.34911241
Kurtosis1.1888184
Mean33.562671
Median Absolute Deviation (MAD)7
Skewness0.63966393
Sum9800.3
Variance137.29149
MonotonicityNot monotonic
2024-04-18T15:09:19.586475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.6 4
 
1.4%
23.8 4
 
1.4%
39.4 4
 
1.4%
32.1 3
 
1.0%
36.2 3
 
1.0%
42.9 3
 
1.0%
36.5 3
 
1.0%
38.5 3
 
1.0%
44.0 3
 
1.0%
39.7 3
 
1.0%
Other values (200) 259
88.7%
ValueCountFrequency (%)
8.9 1
0.3%
10.2 1
0.3%
10.7 1
0.3%
11.3 1
0.3%
11.4 1
0.3%
11.5 1
0.3%
12.2 1
0.3%
13.5 1
0.3%
13.7 1
0.3%
14.1 1
0.3%
ValueCountFrequency (%)
80.3 1
0.3%
75.0 1
0.3%
71.0 1
0.3%
70.6 1
0.3%
65.2 1
0.3%
63.5 1
0.3%
61.1 1
0.3%
61.0 1
0.3%
60.3 1
0.3%
55.9 1
0.3%

Sample

기관유형지역기관명서비스유형성인인구흡연인구흡연율목표인구목표율등록자수흡연인구대비 등록률목표인구대비 등록률결심자금연결심률서비스 제공률4주 경과자4주 성공자4주 성공률6주 경과자6주 성공자6주 성공률12주 경과자12주 성공자12주 성공률6개월 경과자6개월 성공자6개월 성공률
0보건소서울특별시서울 중랑구보건소보건소 금연클리닉3436206941120.27641.17271.095.2727100.095.272637551.771934548.070827939.454817632.1
1보건소서울특별시서울 마포구보건소보건소 금연클리닉3206175642917.66211.15521.088.9552100.088.951333364.948825452.043817439.73027223.8
2보건소서울특별시서울 성북구보건소보건소 금연클리닉3715196910318.67601.17421.197.6742100.097.672439354.371334248.071928339.465219830.4
3보건소서울특별시서울 양천구보건소보건소 금연클리닉3731925374014.45911.17371.4124.7737100.0124.772440355.770332446.165525739.256616228.6
4보건소서울특별시서울 강북구보건소보건소 금연클리닉2667755255519.75781.19201.8159.2920100.0159.293329731.892526128.285623227.175823831.4
5보건소서울특별시서울 강서구보건소보건소 금연클리닉4990189082118.29991.114401.6144.11440100.0144.1142535124.6141527719.6133725018.7123525120.3
6보건소서울특별시서울 도봉구보건소보건소 금연클리닉2788795828620.96411.18391.4130.9839100.0130.982341450.381936945.180826733.076621828.5
7보건소서울특별시서울 구로구보건소보건소 금연클리닉3448965345915.55881.15831.199.1583100.099.158543173.758938765.760530850.958222739.0
8보건소서울특별시서울 노원구보건소보건소 금연클리닉4355795706113.16281.121153.7336.8123858.5197.1119783669.8118271260.2112054248.4101837837.1
9보건소서울특별시서울 금천구보건소보건소 금연클리닉2069004262120.64691.14721.1100.647099.6100.245435678.445226759.141313632.93468123.4
기관유형지역기관명서비스유형성인인구흡연인구흡연율목표인구목표율등록자수흡연인구대비 등록률목표인구대비 등록률결심자금연결심률서비스 제공률4주 경과자4주 성공자4주 성공률6주 경과자6주 성공자6주 성공률12주 경과자12주 성공자12주 성공률6개월 경과자6개월 성공자6개월 성공률
282금연지원센터전라북도전북금연지원센터찾아가는 금연서비스000.07860.08040.00.0804100.0102.382539147.483026531.983419723.682315418.7
283금연지원센터전라북도전북금연지원센터단기금연캠프000.03270.03070.00.0307100.093.930324982.229822274.530019464.732217052.8
284금연지원센터전라남도전남금연지원센터찾아가는 금연서비스000.07850.06360.00.063499.780.863150379.761440766.358231053.360018130.2
285금연지원센터전라남도전남금연지원센터단기금연캠프000.03270.03100.00.0310100.094.830527088.529821471.827817061.227213148.2
286금연지원센터경상북도경북금연지원센터찾아가는 금연서비스000.09000.09660.00.0966100.0107.396641943.496639240.6104236635.197422823.4
287금연지원센터경상북도경북금연지원센터단기금연캠프000.03750.03110.00.0311100.082.930022976.328720069.727714652.72738731.9
288금연지원센터경상남도경남금연지원센터단기금연캠프000.03750.03800.00.0380100.0101.340230776.440125463.340720049.141315537.5
289금연지원센터경상남도경남금연지원센터찾아가는 금연서비스000.09000.09050.00.0905100.0100.690427830.888122225.285618121.190017419.3
290금연지원센터제주특별자치도제주금연지원센터찾아가는 금연서비스000.06560.03880.00.023360.135.523116069.323013659.12219643.42084320.7
291금연지원센터제주특별자치도제주금연지원센터단기금연캠프000.02720.01340.00.012593.346.01227460.71276450.41143530.71241411.3