Overview

Dataset statistics

Number of variables25
Number of observations32
Missing cells70
Missing cells (%)8.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory213.1 B

Variable types

Text10
Categorical4
Numeric6
DateTime4
Unsupported1

Dataset

Description건강증진센터명,건강증진센터구분,소재지도로명주소,소재지지번주소,위도,경도,건강증진업무내용,운영시작시각,운영종료시각,휴무일정보,건물면적,의사수,간호사수,사회복지사수,영양사수,기타인력현황,기타이용안내,운영기관전화번호,운영기관명,관리기관전화번호,관리기관명,데이터기준일자,제공기관코드,제공기관명,작업일시
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-20438/S/1/datasetView.do

Alerts

운영시작시각 has constant value ""Constant
작업일시 has constant value ""Constant
소재지지번주소 has 2 (6.2%) missing valuesMissing
건물면적 has 9 (28.1%) missing valuesMissing
기타인력현황 has 10 (31.2%) missing valuesMissing
기타이용안내 has 14 (43.8%) missing valuesMissing
운영기관명 has 2 (6.2%) missing valuesMissing
관리기관전화번호 has 1 (3.1%) missing valuesMissing
제공기관명 has 32 (100.0%) missing valuesMissing
건강증진센터명 has unique valuesUnique
위도 has unique valuesUnique
운영기관전화번호 has unique valuesUnique
제공기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
간호사수 has 3 (9.4%) zerosZeros
사회복지사수 has 14 (43.8%) zerosZeros

Reproduction

Analysis started2024-04-06 11:20:08.817804
Analysis finished2024-04-06 11:20:09.630737
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건강증진센터명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-06T20:20:09.880006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length10.15625
Min length6

Characters and Unicode

Total characters325
Distinct characters60
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

Unique32 ?
Unique (%)100.0%

Sample

1st row중구정신건강복지센터
2nd row영등포구 정신건강복지센터
3rd row관악구정신건강복지센터
4th row금천구정신건강복지센터
5th row강동구정신건강복지센터
ValueCountFrequency (%)
정신건강복지센터 4
 
10.5%
용산구 2
 
5.3%
건강관리센터 2
 
5.3%
강서구정신건강복지센터 1
 
2.6%
수서동건강증진센터 1
 
2.6%
세곡동건강증진센터 1
 
2.6%
성북구정신건강복지센터 1
 
2.6%
서울특별시 1
 
2.6%
구로정신건강복지센터 1
 
2.6%
중구정신건강복지센터 1
 
2.6%
Other values (23) 23
60.5%
2024-04-06T20:20:10.478241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
강 33
 
10.2%
건 32
 
9.8%
센 31
 
9.5%
터 31
 
9.5%
지 18
 
5.5%
구 18
 
5.5%
정 17
 
5.2%
신 17
 
5.2%
복 17
 
5.2%
관 10
 
3.1%
Other values (50) 101
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 319
98.2%
Space Separator 6
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 33
 
10.3%
건 32
 
10.0%
센 31
 
9.7%
터 31
 
9.7%
지 18
 
5.6%
구 18
 
5.6%
정 17
 
5.3%
신 17
 
5.3%
복 17
 
5.3%
관 10
 
3.1%
Other values (49) 95
29.8%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 319
98.2%
Common 6
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 33
 
10.3%
건 32
 
10.0%
센 31
 
9.7%
터 31
 
9.7%
지 18
 
5.6%
구 18
 
5.6%
정 17
 
5.3%
신 17
 
5.3%
복 17
 
5.3%
관 10
 
3.1%
Other values (49) 95
29.8%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 319
98.2%
ASCII 6
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
강 33
 
10.3%
건 32
 
10.0%
센 31
 
9.7%
터 31
 
9.7%
지 18
 
5.6%
구 18
 
5.6%
정 17
 
5.3%
신 17
 
5.3%
복 17
 
5.3%
관 10
 
3.1%
Other values (49) 95
29.8%
ASCII
ValueCountFrequency (%)
6
100.0%

건강증진센터구분
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
정신보건
17 
건강증진
15 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정신보건 17
53.1%
건강증진 15
46.9%

Length

2024-04-06T20:20:10.739545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:20:10.909835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정신보건 17
53.1%
건강증진 15
46.9%

소재지도로명주소
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-06T20:20:11.352049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length21.40625
Min length15

Characters and Unicode

Total characters685
Distinct characters104
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row서울특별시 중구 서소문로6길 16
2nd row서울특별시 영등포구 당산로 123(당산동3가)
3rd row서울특별시 관악구 관악로 145
4th row서울특별시 금천구 시흥대로 123길 11
5th row서울특별시 강동구 성내로 45
ValueCountFrequency (%)
서울특별시 32
 
22.1%
노원구 7
 
4.8%
2층 4
 
2.8%
강남구 2
 
1.4%
노해로 2
 
1.4%
용산구 2
 
1.4%
종로구 2
 
1.4%
11 2
 
1.4%
공공복합청사 2
 
1.4%
올림픽로 2
 
1.4%
Other values (86) 88
60.7%
2024-04-06T20:20:12.076594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
16.5%
서 38
 
5.5%
로 35
 
5.1%
시 33
 
4.8%
구 33
 
4.8%
특 32
 
4.7%
별 32
 
4.7%
울 32
 
4.7%
1 28
 
4.1%
2 23
 
3.4%
Other values (94) 286
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 436
63.6%
Decimal Number 117
 
17.1%
Space Separator 113
 
16.5%
Other Punctuation 10
 
1.5%
Dash Punctuation 4
 
0.6%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 38
 
8.7%
로 35
 
8.0%
시 33
 
7.6%
구 33
 
7.6%
특 32
 
7.3%
별 32
 
7.3%
울 32
 
7.3%
노 10
 
2.3%
층 9
 
2.1%
원 9
 
2.1%
Other values (78) 173
39.7%
Decimal Number
ValueCountFrequency (%)
1 28
23.9%
2 23
19.7%
3 18
15.4%
5 13
11.1%
6 11
 
9.4%
4 9
 
7.7%
8 5
 
4.3%
0 4
 
3.4%
7 3
 
2.6%
9 3
 
2.6%
Space Separator
ValueCountFrequency (%)
113
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
63.6%
Common 248
36.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 38
 
8.7%
로 35
 
8.0%
시 33
 
7.6%
구 33
 
7.6%
특 32
 
7.3%
별 32
 
7.3%
울 32
 
7.3%
노 10
 
2.3%
층 9
 
2.1%
원 9
 
2.1%
Other values (78) 173
39.7%
Common
ValueCountFrequency (%)
113
45.6%
1 28
 
11.3%
2 23
 
9.3%
3 18
 
7.3%
5 13
 
5.2%
6 11
 
4.4%
, 10
 
4.0%
4 9
 
3.6%
8 5
 
2.0%
- 4
 
1.6%
Other values (5) 14
 
5.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 436
63.6%
ASCII 249
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
45.4%
1 28
 
11.2%
2 23
 
9.2%
3 18
 
7.2%
5 13
 
5.2%
6 11
 
4.4%
, 10
 
4.0%
4 9
 
3.6%
8 5
 
2.0%
- 4
 
1.6%
Other values (6) 15
 
6.0%
Hangul
ValueCountFrequency (%)
서 38
 
8.7%
로 35
 
8.0%
시 33
 
7.6%
구 33
 
7.6%
특 32
 
7.3%
별 32
 
7.3%
울 32
 
7.3%
노 10
 
2.3%
층 9
 
2.1%
원 9
 
2.1%
Other values (78) 173
39.7%

소재지지번주소
Text

MISSING 

Distinct29
Distinct (%)96.7%
Missing2
Missing (%)6.2%
Memory size388.0 B
2024-04-06T20:20:12.580398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length19.9
Min length16

Characters and Unicode

Total characters597
Distinct characters87
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row서울특별시 중구 중림동 155-1
2nd row서울특별시 영등포구 당산동3가 385-1
3rd row서울특별시 관악구 봉천동 1570-1
4th row서울특별시 금천구 독산동 289-5
5th row서울특별시 강동구 성내2동 541-2번지
ValueCountFrequency (%)
서울특별시 30
24.2%
노원구 7
 
5.6%
상계동 4
 
3.2%
신천동 2
 
1.6%
29-5 2
 
1.6%
송파구 2
 
1.6%
강남구 2
 
1.6%
종로구 2
 
1.6%
385-1 2
 
1.6%
구로구 1
 
0.8%
Other values (70) 70
56.5%
2024-04-06T20:20:13.226917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
15.7%
1 36
 
6.0%
서 35
 
5.9%
구 32
 
5.4%
동 31
 
5.2%
특 30
 
5.0%
별 30
 
5.0%
시 30
 
5.0%
울 30
 
5.0%
- 28
 
4.7%
Other values (77) 221
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
57.5%
Decimal Number 129
 
21.6%
Space Separator 94
 
15.7%
Dash Punctuation 28
 
4.7%
Other Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 35
 
10.2%
구 32
 
9.3%
동 31
 
9.0%
특 30
 
8.7%
별 30
 
8.7%
시 30
 
8.7%
울 30
 
8.7%
원 7
 
2.0%
노 7
 
2.0%
계 6
 
1.7%
Other values (63) 105
30.6%
Decimal Number
ValueCountFrequency (%)
1 36
27.9%
5 18
14.0%
3 16
12.4%
2 16
12.4%
4 12
 
9.3%
7 11
 
8.5%
8 7
 
5.4%
0 6
 
4.7%
9 4
 
3.1%
6 3
 
2.3%
Space Separator
ValueCountFrequency (%)
94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 343
57.5%
Common 253
42.4%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 35
 
10.2%
구 32
 
9.3%
동 31
 
9.0%
특 30
 
8.7%
별 30
 
8.7%
시 30
 
8.7%
울 30
 
8.7%
원 7
 
2.0%
노 7
 
2.0%
계 6
 
1.7%
Other values (63) 105
30.6%
Common
ValueCountFrequency (%)
94
37.2%
1 36
 
14.2%
- 28
 
11.1%
5 18
 
7.1%
3 16
 
6.3%
2 16
 
6.3%
4 12
 
4.7%
7 11
 
4.3%
8 7
 
2.8%
0 6
 
2.4%
Other values (3) 9
 
3.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
57.5%
ASCII 254
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
37.0%
1 36
 
14.2%
- 28
 
11.0%
5 18
 
7.1%
3 16
 
6.3%
2 16
 
6.3%
4 12
 
4.7%
7 11
 
4.3%
8 7
 
2.8%
0 6
 
2.4%
Other values (4) 10
 
3.9%
Hangul
ValueCountFrequency (%)
서 35
 
10.2%
구 32
 
9.3%
동 31
 
9.0%
특 30
 
8.7%
별 30
 
8.7%
시 30
 
8.7%
울 30
 
8.7%
원 7
 
2.0%
노 7
 
2.0%
계 6
 
1.7%
Other values (63) 105
30.6%

위도
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.561638
Minimum37.469009
Maximum37.671527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-06T20:20:13.471919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.469009
5-th percentile37.474614
Q137.514474
median37.556914
Q337.618178
95-th percentile37.655822
Maximum37.671527
Range0.20251719
Interquartile range (IQR)0.10370445

Descriptive statistics

Standard deviation0.062050625
Coefficient of variation (CV)0.001651968
Kurtosis-1.1693925
Mean37.561638
Median Absolute Deviation (MAD)0.051891773
Skewness0.18393141
Sum1201.9724
Variance0.0038502801
MonotonicityNot monotonic
2024-04-06T20:20:13.717940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
37.559432 1
 
3.1%
37.5739185 1
 
3.1%
37.62156914 1
 
3.1%
37.5786098 1
 
3.1%
37.5834055 1
 
3.1%
37.590054 1
 
3.1%
37.48367377 1
 
3.1%
37.514469 1
 
3.1%
37.51447565 1
 
3.1%
37.53245265 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
37.4690094 1
3.1%
37.47021905 1
3.1%
37.47820977 1
3.1%
37.48362486 1
3.1%
37.48367377 1
3.1%
37.48900105 1
3.1%
37.4989261231 1
3.1%
37.514469 1
3.1%
37.51447565 1
3.1%
37.517794 1
3.1%
ValueCountFrequency (%)
37.67152659 1
3.1%
37.6574151 1
3.1%
37.6545190418 1
3.1%
37.65416667 1
3.1%
37.6421297887 1
3.1%
37.6314500319 1
3.1%
37.6247308 1
3.1%
37.62156914 1
3.1%
37.6170482 1
3.1%
37.60270967 1
3.1%

경도
Real number (ℝ)

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.0127
Minimum126.86574
Maximum127.1256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-06T20:20:13.970546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.86574
5-th percentile126.88094
Q1126.96163
median127.02708
Q3127.07154
95-th percentile127.10633
Maximum127.1256
Range0.259858
Interquartile range (IQR)0.10990247

Descriptive statistics

Standard deviation0.077482322
Coefficient of variation (CV)0.00061003603
Kurtosis-0.95184381
Mean127.0127
Median Absolute Deviation (MAD)0.05901804
Skewness-0.45409451
Sum4064.4064
Variance0.0060035103
MonotonicityNot monotonic
2024-04-06T20:20:14.173446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
127.1058587 2
 
6.2%
126.9662595 1
 
3.1%
126.8963671 1
 
3.1%
126.9276195 1
 
3.1%
126.9362749 1
 
3.1%
126.9977661 1
 
3.1%
126.9976147 1
 
3.1%
126.9758719 1
 
3.1%
126.9904783 1
 
3.1%
126.9650122 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
126.865739 1
3.1%
126.8682802 1
3.1%
126.891296 1
3.1%
126.8963671 1
3.1%
126.897019 1
3.1%
126.9276195 1
3.1%
126.9362749 1
3.1%
126.9515032 1
3.1%
126.9650122 1
3.1%
126.9662595 1
3.1%
ValueCountFrequency (%)
127.125597 1
3.1%
127.1069041 1
3.1%
127.1058587 2
6.2%
127.1052745 1
3.1%
127.0870912 1
3.1%
127.0851055 1
3.1%
127.080005 1
3.1%
127.0687149 1
3.1%
127.0678763 1
3.1%
127.061568 1
3.1%

건강증진업무내용
Text

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-06T20:20:14.554682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length36.5
Mean length28.75
Min length6

Characters and Unicode

Total characters920
Distinct characters131
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)75.0%

Sample

1st row중증 정신질환자 등록 관리사업, 생애주기정신건강증진사업, 재난심리지원, 생명사랑사업 등
2nd row정신건강 고위험군 조기발견 및 조기개입+생애주기별 정신건강 예방사업+정신건강 취약지역 사업자살위기개입 및 관리
3rd row중증정신질환관리, 아동청소년정신건강관리, 정신건강증진, 자살예방사업
4th row중증정신질환자관리+아동청소년정신건강사업+알코올중독관리사업+자살위기대응사업
5th row중증사례관리사업+아동청소년사업+우울자살예방사업+지역환경조성사업
ValueCountFrequency (%)
및 9
 
7.0%
등 9
 
7.0%
대사증후군 6
 
4.7%
후 6
 
4.7%
건강상담 6
 
4.7%
발견검사 6
 
4.7%
관리 4
 
3.1%
중증정신질환자 4
 
3.1%
정신질환자 3
 
2.3%
정신건강 3
 
2.3%
Other values (65) 73
56.6%
2024-04-06T20:20:15.476238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
10.5%
사 50
 
5.4%
+ 37
 
4.0%
신 37
 
4.0%
정 36
 
3.9%
증 31
 
3.4%
리 31
 
3.4%
건 30
 
3.3%
강 30
 
3.3%
관 30
 
3.3%
Other values (121) 511
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 765
83.2%
Space Separator 97
 
10.5%
Math Symbol 37
 
4.0%
Other Punctuation 16
 
1.7%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 50
 
6.5%
신 37
 
4.8%
정 36
 
4.7%
증 31
 
4.1%
리 31
 
4.1%
건 30
 
3.9%
강 30
 
3.9%
관 30
 
3.9%
업 27
 
3.5%
자 19
 
2.5%
Other values (115) 444
58.0%
Space Separator
ValueCountFrequency (%)
97
100.0%
Math Symbol
ValueCountFrequency (%)
+ 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 765
83.2%
Common 155
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 50
 
6.5%
신 37
 
4.8%
정 36
 
4.7%
증 31
 
4.1%
리 31
 
4.1%
건 30
 
3.9%
강 30
 
3.9%
관 30
 
3.9%
업 27
 
3.5%
자 19
 
2.5%
Other values (115) 444
58.0%
Common
ValueCountFrequency (%)
97
62.6%
+ 37
 
23.9%
, 16
 
10.3%
) 2
 
1.3%
( 2
 
1.3%
1 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 765
83.2%
ASCII 155
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
62.6%
+ 37
 
23.9%
, 16
 
10.3%
) 2
 
1.3%
( 2
 
1.3%
1 1
 
0.6%
Hangul
ValueCountFrequency (%)
사 50
 
6.5%
신 37
 
4.8%
정 36
 
4.7%
증 31
 
4.1%
리 31
 
4.1%
건 30
 
3.9%
강 30
 
3.9%
관 30
 
3.9%
업 27
 
3.5%
자 19
 
2.5%
Other values (115) 444
58.0%

운영시작시각
Date

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2024-04-06 09:00:00
Maximum2024-04-06 09:00:00
2024-04-06T20:20:15.677512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:20:15.831463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

운영종료시각
Date

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2024-04-06 17:00:00
Maximum2024-04-06 18:00:00
2024-04-06T20:20:15.973409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:20:16.164589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴무일정보
Categorical

Distinct8
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
토+일+공휴일
23 
공휴일
3 
토+일+기타 법령이 정하는 공휴일
 
1
토요일+일요일+공휴일
 
1
토+일+법정공휴일
 
1
Other values (3)
3 

Length

Max length33
Median length7
Mean length8.15625
Min length3

Unique

Unique6 ?
Unique (%)18.8%

Sample

1st row토+일+기타 법령이 정하는 공휴일
2nd row토+일+공휴일
3rd row토요일+일요일+공휴일
4th row토+일+공휴일
5th row토+일+공휴일

Common Values

ValueCountFrequency (%)
토+일+공휴일 23
71.9%
공휴일 3
 
9.4%
토+일+기타 법령이 정하는 공휴일 1
 
3.1%
토요일+일요일+공휴일 1
 
3.1%
토+일+법정공휴일 1
 
3.1%
매주 토요일+일요일+공휴일 1
 
3.1%
2020.2월부터 코로나 확산 방지를 위해 센터운영 잠정중단 1
 
3.1%
법정 공휴일 1
 
3.1%

Length

2024-04-06T20:20:16.426428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:20:16.670518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토+일+공휴일 23
53.5%
공휴일 5
 
11.6%
토요일+일요일+공휴일 2
 
4.7%
토+일+기타 1
 
2.3%
법령이 1
 
2.3%
정하는 1
 
2.3%
토+일+법정공휴일 1
 
2.3%
매주 1
 
2.3%
2020.2월부터 1
 
2.3%
코로나 1
 
2.3%
Other values (6) 6
 
14.0%

건물면적
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing9
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean270.32522
Minimum12
Maximum1492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-06T20:20:16.980395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile40.68
Q1144.085
median201.24
Q3292.715
95-th percentile537.9
Maximum1492
Range1480
Interquartile range (IQR)148.63

Descriptive statistics

Standard deviation296.90899
Coefficient of variation (CV)1.09834
Kurtosis13.830916
Mean270.32522
Median Absolute Deviation (MAD)89.85
Skewness3.396049
Sum6217.48
Variance88154.948
MonotonicityNot monotonic
2024-04-06T20:20:17.175321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
330.0 1
 
3.1%
186.0 1
 
3.1%
46.8 1
 
3.1%
219.68 1
 
3.1%
201.24 1
 
3.1%
200.0 1
 
3.1%
550.0 1
 
3.1%
238.0 1
 
3.1%
391.84 1
 
3.1%
50.0 1
 
3.1%
Other values (13) 13
40.6%
(Missing) 9
28.1%
ValueCountFrequency (%)
12.0 1
3.1%
40.0 1
3.1%
46.8 1
3.1%
50.0 1
3.1%
77.28 1
3.1%
111.39 1
3.1%
176.78 1
3.1%
186.0 1
3.1%
189.18 1
3.1%
198.0 1
3.1%
ValueCountFrequency (%)
1492.0 1
3.1%
550.0 1
3.1%
429.0 1
3.1%
391.84 1
3.1%
330.0 1
3.1%
309.0 1
3.1%
276.43 1
3.1%
265.16 1
3.1%
238.0 1
3.1%
227.7 1
3.1%

의사수
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
1
15 
0
15 
2
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 15
46.9%
0 15
46.9%
2 1
 
3.1%
4 1
 
3.1%

Length

2024-04-06T20:20:17.535561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:20:17.715838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
46.9%
0 15
46.9%
2 1
 
3.1%
4 1
 
3.1%

간호사수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.59375
Minimum0
Maximum10
Zeros3
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-06T20:20:17.942252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6.35
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1381236
Coefficient of variation (CV)0.82433681
Kurtosis4.4009164
Mean2.59375
Median Absolute Deviation (MAD)1
Skewness1.8370753
Sum83
Variance4.5715726
MonotonicityNot monotonic
2024-04-06T20:20:18.227875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 11
34.4%
1 6
18.8%
3 5
15.6%
4 3
 
9.4%
0 3
 
9.4%
5 2
 
6.2%
10 1
 
3.1%
8 1
 
3.1%
ValueCountFrequency (%)
0 3
 
9.4%
1 6
18.8%
2 11
34.4%
3 5
15.6%
4 3
 
9.4%
5 2
 
6.2%
8 1
 
3.1%
10 1
 
3.1%
ValueCountFrequency (%)
10 1
 
3.1%
8 1
 
3.1%
5 2
 
6.2%
4 3
 
9.4%
3 5
15.6%
2 11
34.4%
1 6
18.8%
0 3
 
9.4%

사회복지사수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4375
Minimum0
Maximum18
Zeros14
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-06T20:20:18.512066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q313
95-th percentile16
Maximum18
Range18
Interquartile range (IQR)13

Descriptive statistics

Standard deviation6.6378072
Coefficient of variation (CV)1.0311157
Kurtosis-1.6539519
Mean6.4375
Median Absolute Deviation (MAD)5.5
Skewness0.2916092
Sum206
Variance44.060484
MonotonicityNot monotonic
2024-04-06T20:20:18.712201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 14
43.8%
11 4
 
12.5%
13 2
 
6.2%
14 2
 
6.2%
16 2
 
6.2%
15 2
 
6.2%
9 1
 
3.1%
18 1
 
3.1%
7 1
 
3.1%
1 1
 
3.1%
Other values (2) 2
 
6.2%
ValueCountFrequency (%)
0 14
43.8%
1 1
 
3.1%
5 1
 
3.1%
6 1
 
3.1%
7 1
 
3.1%
9 1
 
3.1%
11 4
 
12.5%
13 2
 
6.2%
14 2
 
6.2%
15 2
 
6.2%
ValueCountFrequency (%)
18 1
 
3.1%
16 2
6.2%
15 2
6.2%
14 2
6.2%
13 2
6.2%
11 4
12.5%
9 1
 
3.1%
7 1
 
3.1%
6 1
 
3.1%
5 1
 
3.1%

영양사수
Categorical

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
16 
2
6 
1
4 
<NA>
4 
5
 
1

Length

Max length4
Median length1
Mean length1.375
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 16
50.0%
2 6
 
18.8%
1 4
 
12.5%
<NA> 4
 
12.5%
5 1
 
3.1%
3 1
 
3.1%

Length

2024-04-06T20:20:18.924520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:20:19.113156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
50.0%
2 6
 
18.8%
1 4
 
12.5%
na 4
 
12.5%
5 1
 
3.1%
3 1
 
3.1%

기타인력현황
Text

MISSING 

Distinct15
Distinct (%)68.2%
Missing10
Missing (%)31.2%
Memory size388.0 B
2024-04-06T20:20:19.421646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length8.0909091
Min length1

Characters and Unicode

Total characters178
Distinct characters30
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)45.5%

Sample

1st row임상심리사(3)+작업치료사(1)
2nd row심리상담사(4)+운전(1)
3rd row심리상담사(3)
4th row심리상담사(1)
5th row운동처방사(2)
ValueCountFrequency (%)
행정(1 4
16.7%
운동처방사(2 2
 
8.3%
행정(2 2
 
8.3%
0 2
 
8.3%
심리상담사(3 2
 
8.3%
임상심리사(3 1
 
4.2%
방사선사(1)+운동처방사(1 1
 
4.2%
1 1
 
4.2%
임상병리사(1)+금연상담사 1
 
4.2%
임상심리사(1)+작업치료사(2 1
 
4.2%
Other values (7) 7
29.2%
2024-04-06T20:20:20.068632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 23
12.9%
) 23
12.9%
사 18
 
10.1%
1 13
 
7.3%
상 10
 
5.6%
리 9
 
5.1%
심 8
 
4.5%
행 6
 
3.4%
정 6
 
3.4%
2 6
 
3.4%
Other values (20) 56
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98
55.1%
Decimal Number 27
 
15.2%
Open Punctuation 23
 
12.9%
Close Punctuation 23
 
12.9%
Math Symbol 5
 
2.8%
Space Separator 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 18
18.4%
상 10
10.2%
리 9
9.2%
심 8
 
8.2%
행 6
 
6.1%
정 6
 
6.1%
방 5
 
5.1%
담 5
 
5.1%
임 5
 
5.1%
운 5
 
5.1%
Other values (11) 21
21.4%
Decimal Number
ValueCountFrequency (%)
1 13
48.1%
2 6
22.2%
3 4
 
14.8%
4 2
 
7.4%
0 2
 
7.4%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98
55.1%
Common 80
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 18
18.4%
상 10
10.2%
리 9
9.2%
심 8
 
8.2%
행 6
 
6.1%
정 6
 
6.1%
방 5
 
5.1%
담 5
 
5.1%
임 5
 
5.1%
운 5
 
5.1%
Other values (11) 21
21.4%
Common
ValueCountFrequency (%)
( 23
28.7%
) 23
28.7%
1 13
16.2%
2 6
 
7.5%
+ 5
 
6.2%
3 4
 
5.0%
2
 
2.5%
4 2
 
2.5%
0 2
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98
55.1%
ASCII 80
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 23
28.7%
) 23
28.7%
1 13
16.2%
2 6
 
7.5%
+ 5
 
6.2%
3 4
 
5.0%
2
 
2.5%
4 2
 
2.5%
0 2
 
2.5%
Hangul
ValueCountFrequency (%)
사 18
18.4%
상 10
10.2%
리 9
9.2%
심 8
 
8.2%
행 6
 
6.1%
정 6
 
6.1%
방 5
 
5.1%
담 5
 
5.1%
임 5
 
5.1%
운 5
 
5.1%
Other values (11) 21
21.4%

기타이용안내
Text

MISSING 

Distinct13
Distinct (%)72.2%
Missing14
Missing (%)43.8%
Memory size388.0 B
2024-04-06T20:20:20.400925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16.5
Mean length11.833333
Min length8

Characters and Unicode

Total characters213
Distinct characters56
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)66.7%

Sample

1st row강동구민누구나(문의후이용)
2nd row사전예약(유선)
3rd row사전예약(유선)
4th row음주 문제 상담 불가
5th row사전예약(유선)
ValueCountFrequency (%)
사전예약(유선 6
 
12.0%
요망 6
 
12.0%
상담 4
 
8.0%
금식 4
 
8.0%
예약 2
 
4.0%
전 2
 
4.0%
사전 2
 
4.0%
전화 2
 
4.0%
검사전날 1
 
2.0%
9시부터 1
 
2.0%
Other values (20) 20
40.0%
2024-04-06T20:20:21.129625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
15.0%
전 18
 
8.5%
사 13
 
6.1%
예 9
 
4.2%
약 9
 
4.2%
( 7
 
3.3%
) 7
 
3.3%
시 6
 
2.8%
유 6
 
2.8%
선 6
 
2.8%
Other values (46) 100
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160
75.1%
Space Separator 32
 
15.0%
Open Punctuation 7
 
3.3%
Close Punctuation 7
 
3.3%
Decimal Number 7
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 18
 
11.2%
사 13
 
8.1%
예 9
 
5.6%
약 9
 
5.6%
시 6
 
3.8%
유 6
 
3.8%
선 6
 
3.8%
망 6
 
3.8%
요 6
 
3.8%
담 5
 
3.1%
Other values (40) 76
47.5%
Decimal Number
ValueCountFrequency (%)
1 4
57.1%
0 2
28.6%
9 1
 
14.3%
Space Separator
ValueCountFrequency (%)
32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160
75.1%
Common 53
 
24.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 18
 
11.2%
사 13
 
8.1%
예 9
 
5.6%
약 9
 
5.6%
시 6
 
3.8%
유 6
 
3.8%
선 6
 
3.8%
망 6
 
3.8%
요 6
 
3.8%
담 5
 
3.1%
Other values (40) 76
47.5%
Common
ValueCountFrequency (%)
32
60.4%
( 7
 
13.2%
) 7
 
13.2%
1 4
 
7.5%
0 2
 
3.8%
9 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160
75.1%
ASCII 53
 
24.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
60.4%
( 7
 
13.2%
) 7
 
13.2%
1 4
 
7.5%
0 2
 
3.8%
9 1
 
1.9%
Hangul
ValueCountFrequency (%)
전 18
 
11.2%
사 13
 
8.1%
예 9
 
5.6%
약 9
 
5.6%
시 6
 
3.8%
유 6
 
3.8%
선 6
 
3.8%
망 6
 
3.8%
요 6
 
3.8%
담 5
 
3.1%
Other values (40) 76
47.5%

운영기관전화번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-06T20:20:21.484038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.71875
Min length11

Characters and Unicode

Total characters375
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row02-2236-6606
2nd row02-2670-4793
3rd row02-879-4911
4th row02-3281-9314
5th row02-471-3223
ValueCountFrequency (%)
02-2236-6606 1
 
3.1%
02-2670-4793 1
 
3.1%
02-330-8727 1
 
3.1%
02-2148-3735 1
 
3.1%
02-745-0199 1
 
3.1%
02-820-4072 1
 
3.1%
02-2147-3539 1
 
3.1%
02-2147-3456 1
 
3.1%
02-2199-8158 1
 
3.1%
02-2199-8340 1
 
3.1%
Other values (22) 22
68.8%
2024-04-06T20:20:22.080208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 68
18.1%
- 64
17.1%
0 53
14.1%
1 42
11.2%
4 27
 
7.2%
8 25
 
6.7%
6 24
 
6.4%
3 22
 
5.9%
9 18
 
4.8%
7 17
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 311
82.9%
Dash Punctuation 64
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 68
21.9%
0 53
17.0%
1 42
13.5%
4 27
 
8.7%
8 25
 
8.0%
6 24
 
7.7%
3 22
 
7.1%
9 18
 
5.8%
7 17
 
5.5%
5 15
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 375
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 68
18.1%
- 64
17.1%
0 53
14.1%
1 42
11.2%
4 27
 
7.2%
8 25
 
6.7%
6 24
 
6.4%
3 22
 
5.9%
9 18
 
4.8%
7 17
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 375
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 68
18.1%
- 64
17.1%
0 53
14.1%
1 42
11.2%
4 27
 
7.2%
8 25
 
6.7%
6 24
 
6.4%
3 22
 
5.9%
9 18
 
4.8%
7 17
 
4.5%

운영기관명
Text

MISSING 

Distinct21
Distinct (%)70.0%
Missing2
Missing (%)6.2%
Memory size388.0 B
2024-04-06T20:20:22.472530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length8.8
Min length5

Characters and Unicode

Total characters264
Distinct characters71
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

Unique17 ?
Unique (%)56.7%

Sample

1st row국립중앙의료원
2nd row영등포구보건소직영
3rd row서울특별시 관악구 보건소
4th row의료법인 새움의료재단
5th row국립중앙의료원
ValueCountFrequency (%)
서울특별시 13
26.0%
노원구 7
14.0%
보건소 5
 
10.0%
송파구보건소 2
 
4.0%
강남구 2
 
4.0%
국립중앙의료원 2
 
4.0%
관악구 1
 
2.0%
양천구보건소 1
 
2.0%
아름다운미래의원 1
 
2.0%
서대문구보건소 1
 
2.0%
Other values (15) 15
30.0%
2024-04-06T20:20:23.129018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 22
 
8.3%
20
 
7.6%
건 17
 
6.4%
서 16
 
6.1%
울 14
 
5.3%
소 14
 
5.3%
보 14
 
5.3%
원 13
 
4.9%
시 13
 
4.9%
별 13
 
4.9%
Other values (61) 108
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 244
92.4%
Space Separator 20
 
7.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 22
 
9.0%
건 17
 
7.0%
서 16
 
6.6%
울 14
 
5.7%
소 14
 
5.7%
보 14
 
5.7%
원 13
 
5.3%
시 13
 
5.3%
별 13
 
5.3%
특 13
 
5.3%
Other values (60) 95
38.9%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 244
92.4%
Common 20
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 22
 
9.0%
건 17
 
7.0%
서 16
 
6.6%
울 14
 
5.7%
소 14
 
5.7%
보 14
 
5.7%
원 13
 
5.3%
시 13
 
5.3%
별 13
 
5.3%
특 13
 
5.3%
Other values (60) 95
38.9%
Common
ValueCountFrequency (%)
20
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 244
92.4%
ASCII 20
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 22
 
9.0%
건 17
 
7.0%
서 16
 
6.6%
울 14
 
5.7%
소 14
 
5.7%
보 14
 
5.7%
원 13
 
5.3%
시 13
 
5.3%
별 13
 
5.3%
특 13
 
5.3%
Other values (60) 95
38.9%
ASCII
ValueCountFrequency (%)
20
100.0%

관리기관전화번호
Text

MISSING 

Distinct30
Distinct (%)96.8%
Missing1
Missing (%)3.1%
Memory size388.0 B
2024-04-06T20:20:23.472211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.774194
Min length11

Characters and Unicode

Total characters365
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)93.5%

Sample

1st row02-3396-6409
2nd row02-2670-4753
3rd row02-879-7182
4th row02-2627-2656
5th row02-2260-7092
ValueCountFrequency (%)
02-2116-0743 2
 
6.5%
02-450-1934 1
 
3.2%
02-2094-0853 1
 
3.2%
02-330-8630 1
 
3.2%
02-2148-3735 1
 
3.2%
02-2148-3603 1
 
3.2%
02-820-1425 1
 
3.2%
02-2147-3470 1
 
3.2%
02-2199-8132 1
 
3.2%
02-2199-8142 1
 
3.2%
Other values (20) 20
64.5%
2024-04-06T20:20:24.003067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 72
19.7%
- 62
17.0%
0 55
15.1%
1 39
10.7%
3 26
 
7.1%
6 23
 
6.3%
4 23
 
6.3%
7 19
 
5.2%
9 16
 
4.4%
8 16
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 303
83.0%
Dash Punctuation 62
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 72
23.8%
0 55
18.2%
1 39
12.9%
3 26
 
8.6%
6 23
 
7.6%
4 23
 
7.6%
7 19
 
6.3%
9 16
 
5.3%
8 16
 
5.3%
5 14
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 365
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 72
19.7%
- 62
17.0%
0 55
15.1%
1 39
10.7%
3 26
 
7.1%
6 23
 
6.3%
4 23
 
6.3%
7 19
 
5.2%
9 16
 
4.4%
8 16
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 72
19.7%
- 62
17.0%
0 55
15.1%
1 39
10.7%
3 26
 
7.1%
6 23
 
6.3%
4 23
 
6.3%
7 19
 
5.2%
9 16
 
4.4%
8 16
 
4.4%

관리기관명
Text

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-06T20:20:24.368591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length10.84375
Min length6

Characters and Unicode

Total characters347
Distinct characters54
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)65.6%

Sample

1st row서울특별시 중구 보건소
2nd row서울특별시 영등포구보건소(건강증진과)
3rd row서울특별시 관악구청
4th row서울특별시 금천구 보건소
5th row서울특별시 강동구보건소
ValueCountFrequency (%)
서울특별시 22
29.7%
보건소 20
27.0%
노원구 3
 
4.1%
송파구 2
 
2.7%
용산구 2
 
2.7%
강남구 2
 
2.7%
종로구 2
 
2.7%
강서구 1
 
1.4%
중랑구 1
 
1.4%
성북구보건소 1
 
1.4%
Other values (18) 18
24.3%
2024-04-06T20:20:25.059748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
12.1%
건 31
8.9%
소 30
8.6%
보 30
8.6%
구 29
8.4%
서 25
 
7.2%
시 22
 
6.3%
별 22
 
6.3%
특 22
 
6.3%
울 22
 
6.3%
Other values (44) 72
20.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
87.3%
Space Separator 42
 
12.1%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 31
10.2%
소 30
9.9%
보 30
9.9%
구 29
9.6%
서 25
 
8.3%
시 22
 
7.3%
별 22
 
7.3%
특 22
 
7.3%
울 22
 
7.3%
강 6
 
2.0%
Other values (41) 64
21.1%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
87.3%
Common 44
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 31
10.2%
소 30
9.9%
보 30
9.9%
구 29
9.6%
서 25
 
8.3%
시 22
 
7.3%
별 22
 
7.3%
특 22
 
7.3%
울 22
 
7.3%
강 6
 
2.0%
Other values (41) 64
21.1%
Common
ValueCountFrequency (%)
42
95.5%
) 1
 
2.3%
( 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
87.3%
ASCII 44
 
12.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
95.5%
) 1
 
2.3%
( 1
 
2.3%
Hangul
ValueCountFrequency (%)
건 31
10.2%
소 30
9.9%
보 30
9.9%
구 29
9.6%
서 25
 
8.3%
시 22
 
7.3%
별 22
 
7.3%
특 22
 
7.3%
울 22
 
7.3%
강 6
 
2.0%
Other values (41) 64
21.1%

데이터기준일자
Date

Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2021-08-01 00:00:00
Maximum2023-12-04 00:00:00
2024-04-06T20:20:25.523866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:20:25.750288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

제공기관코드
Real number (ℝ)

Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3118750
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-06T20:20:26.084730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3005500
Q13067500
median3100000
Q33182500
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)115000

Descriptive statistics

Standard deviation74692.92
Coefficient of variation (CV)0.023949634
Kurtosis-1.1182312
Mean3118750
Median Absolute Deviation (MAD)65000
Skewness0.047282347
Sum99800000
Variance5.5790323 × 109
MonotonicityNot monotonic
2024-04-06T20:20:26.301666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3100000 7
21.9%
3220000 2
 
6.2%
3000000 2
 
6.2%
3230000 2
 
6.2%
3020000 2
 
6.2%
3010000 1
 
3.1%
3110000 1
 
3.1%
3120000 1
 
3.1%
3190000 1
 
3.1%
3150000 1
 
3.1%
Other values (12) 12
37.5%
ValueCountFrequency (%)
3000000 2
 
6.2%
3010000 1
 
3.1%
3020000 2
 
6.2%
3030000 1
 
3.1%
3040000 1
 
3.1%
3060000 1
 
3.1%
3070000 1
 
3.1%
3080000 1
 
3.1%
3100000 7
21.9%
3110000 1
 
3.1%
ValueCountFrequency (%)
3240000 1
3.1%
3230000 2
6.2%
3220000 2
6.2%
3210000 1
3.1%
3200000 1
3.1%
3190000 1
3.1%
3180000 1
3.1%
3170000 1
3.1%
3160000 1
3.1%
3150000 1
3.1%

제공기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

작업일시
Date

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2024-04-01 15:07:45
Maximum2024-04-01 15:07:45
2024-04-06T20:20:26.597456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:20:26.796615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

건강증진센터명건강증진센터구분소재지도로명주소소재지지번주소위도경도건강증진업무내용운영시작시각운영종료시각휴무일정보건물면적의사수간호사수사회복지사수영양사수기타인력현황기타이용안내운영기관전화번호운영기관명관리기관전화번호관리기관명데이터기준일자제공기관코드제공기관명작업일시
0중구정신건강복지센터정신보건서울특별시 중구 서소문로6길 16서울특별시 중구 중림동 155-137.559432126.96626중증 정신질환자 등록 관리사업, 생애주기정신건강증진사업, 재난심리지원, 생명사랑사업 등09:0018:00토+일+기타 법령이 정하는 공휴일227.712110임상심리사(3)+작업치료사(1)<NA>02-2236-6606국립중앙의료원02-3396-6409서울특별시 중구 보건소2023-12-043010000<NA>2024-04-01 15:07:45.0
1영등포구 정신건강복지센터정신보건서울특별시 영등포구 당산로 123(당산동3가)서울특별시 영등포구 당산동3가 385-137.525963126.896367정신건강 고위험군 조기발견 및 조기개입+생애주기별 정신건강 예방사업+정신건강 취약지역 사업자살위기개입 및 관리09:0018:00토+일+공휴일330.0010130심리상담사(4)+운전(1)<NA>02-2670-4793영등포구보건소직영02-2670-4753서울특별시 영등포구보건소(건강증진과)2023-12-013180000<NA>2024-04-01 15:07:45.0
2관악구정신건강복지센터정신보건서울특별시 관악구 관악로 145서울특별시 관악구 봉천동 1570-137.47821126.951503중증정신질환관리, 아동청소년정신건강관리, 정신건강증진, 자살예방사업09:0018:00토요일+일요일+공휴일189.1804110심리상담사(3)<NA>02-879-4911서울특별시 관악구 보건소02-879-7182서울특별시 관악구청2023-10-123200000<NA>2024-04-01 15:07:45.0
3금천구정신건강복지센터정신보건서울특별시 금천구 시흥대로 123길 11서울특별시 금천구 독산동 289-537.470219126.897019중증정신질환자관리+아동청소년정신건강사업+알코올중독관리사업+자살위기대응사업09:0018:00토+일+공휴일429.011140<NA><NA>02-3281-9314의료법인 새움의료재단02-2627-2656서울특별시 금천구 보건소2023-09-073170000<NA>2024-04-01 15:07:45.0
4강동구정신건강복지센터정신보건서울특별시 강동구 성내로 45서울특별시 강동구 성내2동 541-2번지37.529542127.125597중증사례관리사업+아동청소년사업+우울자살예방사업+지역환경조성사업09:0018:00토+일+공휴일77.2810110심리상담사(1)강동구민누구나(문의후이용)02-471-3223국립중앙의료원02-2260-7092서울특별시 강동구보건소2023-08-183240000<NA>2024-04-01 15:07:45.0
5삼각산보건지소건강증진서울특별시 강북구 삼양로19길 154서울특별시 강북구 미아동 1353-837.617048127.015605만성질환관리 및 어르신건강동행사업+건강운동지원실 운영+어린이체험관 운영09:0018:00공휴일1492.01102운동처방사(2)<NA>02-901-4801강북구보건소02-901-7615강북구보건소2023-08-173080000<NA>2024-04-01 15:07:45.0
6양천구 정신건강복지센터정신보건서울특별시 양천구 목동서로 339(신정동)서울특별시 양천구 신정동 321-537.517794126.865739만성정신질환자 관리사업+정신건강증진사업+아동청소년 정신건강특화사업09:0018:00토+일+공휴일198.011160<NA><NA>02-2061-8881양천구보건소02-2620-3941서울특별시 양천구2023-08-143140000<NA>2024-04-01 15:07:45.0
7공릉평생건강관리센터건강증진서울특별시 노원구 공릉로 166-1, 공릉보건지소 2층서울특별시 노원구 공릉동 221-337.624731127.080005대사증후군 발견검사 후 건강상담 등09:0017:00토+일+공휴일<NA>0201행정(1)사전예약(유선)02-2116-4981서울특별시 노원구02-2116-4974공릉보건지소2023-08-113100000<NA>2024-04-01 15:07:45.0
8마들평생건강관리센터건강증진서울특별시 노원구 수락산로 212-20, 마들보건지소 1층서울특별시 노원구 상계동 1035-137.671527127.055297대사증후군 발견검사 후 건강상담 등09:0017:00토+일+공휴일<NA>0201행정(1)사전예약(유선)02-2116-2014서울특별시 노원구02-2116-2004마들보건지소2023-08-113100000<NA>2024-04-01 15:07:45.0
9노원구정신건강복지센터정신보건서울특별시 노원구 노해로 455, 인산빌딩 5층서울특별시 노원구 상계동 709 인산빌딩 5층37.654167127.05852정신질환자 등록관리09:0018:00토+일+공휴일276.4303150<NA>음주 문제 상담 불가02-2116-4591서울특별시 노원구02-2116-3025서울특별시 노원구 보건소2023-08-113100000<NA>2024-04-01 15:07:45.0
건강증진센터명건강증진센터구분소재지도로명주소소재지지번주소위도경도건강증진업무내용운영시작시각운영종료시각휴무일정보건물면적의사수간호사수사회복지사수영양사수기타인력현황기타이용안내운영기관전화번호운영기관명관리기관전화번호관리기관명데이터기준일자제공기관코드제공기관명작업일시
22강서구정신건강복지센터정신보건서울특별시 강서구 공항대로 561, B1층서울특별시 강서구 염창동 275-12, B1층37.54965126.86828중증정신질환관리, 정신건강상담, 자살예방, 알코올중독예방 등09:0018:00토+일+공휴일238.011180임상심리사(1)+작업치료사(2)상담 전 예약 요망02-2600-5926아름다운미래의원02-2600-5271서울특별시 강서구 보건소2023-02-273150000<NA>2024-04-01 15:07:45.0
23용산구 정신건강복지센터정신보건서울특별시 용산구 백범로 329<NA>37.538904126.965012중증정신질환자 사례관리+정신건강증진사업 등09:0018:00토+일+공휴일<NA>0270<NA><NA>02-2199-8340<NA>02-2199-8142서울특별시 용산구 보건소2022-12-203020000<NA>2024-04-01 15:07:45.0
24용산구 시민건강관리센터건강증진서울특별시 용산구 녹사평대로150<NA>37.532453126.990478대사증후군관리+건강상담+영양상담+운동상담09:0018:00토+일+공휴일<NA>2302<NA><NA>02-2199-8158<NA>02-2199-8132서울특별시 용산구 보건소2022-12-203020000<NA>2024-04-01 15:07:45.0
25송파건강관리센터건강증진서울특별시 송파구 올림픽로 326서울특별시 송파구 신천동 29-537.514476127.1058591차 진료+운동+영양+금연+치매+대사증후군 관리서비스 제공09:0018:00토+일+법정공휴일550.04513임상병리사(1)+금연상담사 (1)방문 전 전화 요망02-2147-3456송파구보건소02-2147-3470서울특별시 송파구 보건소2022-12-133230000<NA>2024-04-01 15:07:45.0
26송파건강증진센터건강증진서울특별시 송파구 올림픽로 326서울특별시 송파구 신천동 29-537.514469127.105859일반종합검진09:0018:00공휴일<NA>1100방사선사(1)+운동처방사(1)검사전날 9시부터 금식02-2147-3539송파구보건소<NA>서울특별시 송파구 보건소2022-12-133230000<NA>2024-04-01 15:07:45.0
27동작구정신건강복지센터정신보건서울특별시 동작구 사당로 253-3서울특별시 동작구 사당동 324-1437.483674126.975872정신질환자 조기발견 및 관리09:0017:00토+일+공휴일200.00460심리상담사(3)상담 원할시 사전 전화연락 요망02-820-4072동작구보건소02-820-1425서울특별시 동작구 보건소2022-10-053190000<NA>2024-04-01 15:07:45.0
28정신건강복지센터정신보건서울특별시 종로구 성균관로15길 10서울특별시 종로구 명륜1가 5-1437.590054126.997615정신건강증진사업09:0018:00매주 토요일+일요일+공휴일201.2410130<NA>방문상담시 사전예약02-745-0199정신건강복지센터02-2148-3603서울특별시 종로구 보건소2022-09-053000000<NA>2024-04-01 15:07:45.0
29명륜건강증진센터건강증진서울특별시 종로구 성균관로1길 6-3서울특별시 종로구 명륜3가 147-137.583405126.997766대사증후군관리09:0018:002020.2월부터 코로나 확산 방지를 위해 센터운영 잠정중단219.681202운동처방사(2)검사 전날 밤 10시부터 금식 요망02-2148-3735명륜건강증진센터02-2148-3735서울특별시 종로구 보건소2022-09-053000000<NA>2024-04-01 15:07:45.0
30건강관리센터건강증진서울특별시 서대문구 연희로242서울특별시 서대문구 연희동 165-237.57861126.936275대사증후군관리09:0018:00토+일+공휴일46.81202<NA><NA>02-330-8727서대문구보건소02-330-8630서대문구보건소2022-08-113120000<NA>2024-04-01 15:07:45.0
31은평구정신건강복지센터정신보건서울특별시 은평구 연서로 34길 11서울특별시 은평구 불광동 130-237.621569126.92762정신건강 교육 및 홍보, 고위험군 발견 및 연계, 전문 상담 및 관리09:0018:00법정 공휴일186.0035<NA>2<NA>02-351-8680서울특별시 은평구 보건소02-351-8682서울특별시 은평구 보건소2021-08-013110000<NA>2024-04-01 15:07:45.0