Overview

Dataset statistics

Number of variables12
Number of observations274
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.6 KiB
Average record size in memory99.5 B

Variable types

Numeric2
Categorical5
Text5

Dataset

Description경상북도 지역아동센터 현황(시군명, 시설명, 대상자별, 시설유형, 시설장, 소재지, 운영주체, 종사자수 등)입니다.
Author경상북도
URLhttps://www.data.go.kr/data/3083897/fileData.do

Alerts

대상자별 has constant value ""Constant
시설유형 has constant value ""Constant
연번 is highly overall correlated with 시군명High correlation
일일평균_이용자 수 is highly overall correlated with 종사자수High correlation
시군명 is highly overall correlated with 연번High correlation
종사자수 is highly overall correlated with 일일평균_이용자 수High correlation
운영주체 is highly imbalanced (51.9%)Imbalance
종사자수 is highly imbalanced (56.1%)Imbalance
대표자 has 3 (1.1%) missing valuesMissing
연번 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:22:43.882721
Analysis finished2023-12-12 00:22:44.885669
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct274
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.5
Minimum1
Maximum274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T09:22:44.940807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.65
Q169.25
median137.5
Q3205.75
95-th percentile260.35
Maximum274
Range273
Interquartile range (IQR)136.5

Descriptive statistics

Standard deviation79.241193
Coefficient of variation (CV)0.57629959
Kurtosis-1.2
Mean137.5
Median Absolute Deviation (MAD)68.5
Skewness0
Sum37675
Variance6279.1667
MonotonicityStrictly increasing
2023-12-12T09:22:45.052466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
182 1
 
0.4%
188 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
185 1
 
0.4%
184 1
 
0.4%
183 1
 
0.4%
181 1
 
0.4%
207 1
 
0.4%
Other values (264) 264
96.4%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
274 1
0.4%
273 1
0.4%
272 1
0.4%
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%

시군명
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
포항시
64 
구미시
47 
경주시
28 
경산시
22 
김천시
13 
Other values (18)
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
포항시 64
23.4%
구미시 47
17.2%
경주시 28
10.2%
경산시 22
 
8.0%
김천시 13
 
4.7%
칠곡군 12
 
4.4%
안동시 11
 
4.0%
영주시 11
 
4.0%
문경시 10
 
3.6%
상주시 8
 
2.9%
Other values (13) 48
17.5%

Length

2023-12-12T09:22:45.162056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
포항시 64
23.4%
구미시 47
17.2%
경주시 28
10.2%
경산시 22
 
8.0%
김천시 13
 
4.7%
칠곡군 12
 
4.4%
안동시 11
 
4.0%
영주시 11
 
4.0%
문경시 10
 
3.6%
상주시 8
 
2.9%
Other values (13) 48
17.5%

대상자별
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
아동
274 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아동 274
100.0%

Length

2023-12-12T09:22:45.251153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:22:45.327191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아동 274
100.0%

시설유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
지역아동센터
274 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지역아동센터 274
100.0%

Length

2023-12-12T09:22:45.403274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:22:45.478745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역아동센터 274
100.0%

시설명
Text

Distinct256
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T09:22:45.634153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length9.0510949
Min length6

Characters and Unicode

Total characters2480
Distinct characters251
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique243 ?
Unique (%)88.7%

Sample

1st row감사해요지역아동센터
2nd row구룡포지역아동센터
3rd row그리심지역아동센터
4th row그린지역아동센터
5th row그림속세상지역아동센터
ValueCountFrequency (%)
꿈나무지역아동센터 4
 
1.4%
열린지역아동센터 4
 
1.4%
그루터기지역아동센터 3
 
1.1%
좋은이웃지역아동센터 3
 
1.1%
아름다운지역아동센터 2
 
0.7%
다솜지역아동센터 2
 
0.7%
행복한홈스쿨지역아동센터 2
 
0.7%
포항 2
 
0.7%
행복한지역아동센터 2
 
0.7%
한마음지역아동센터 2
 
0.7%
Other values (249) 257
90.8%
2023-12-12T09:22:45.936636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 286
 
11.5%
아 279
 
11.2%
터 279
 
11.2%
지 272
 
11.0%
센 269
 
10.8%
역 266
 
10.7%
나 24
 
1.0%
꿈 22
 
0.9%
사 21
 
0.8%
무 18
 
0.7%
Other values (241) 744
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2448
98.7%
Uppercase Letter 12
 
0.5%
Space Separator 9
 
0.4%
Decimal Number 8
 
0.3%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 286
11.7%
아 279
 
11.4%
터 279
 
11.4%
지 272
 
11.1%
센 269
 
11.0%
역 266
 
10.9%
나 24
 
1.0%
꿈 22
 
0.9%
사 21
 
0.9%
무 18
 
0.7%
Other values (225) 712
29.1%
Uppercase Letter
ValueCountFrequency (%)
C 3
25.0%
N 2
16.7%
Z 1
 
8.3%
O 1
 
8.3%
E 1
 
8.3%
J 1
 
8.3%
A 1
 
8.3%
M 1
 
8.3%
Y 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
8 2
25.0%
3 2
25.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2448
98.7%
Common 20
 
0.8%
Latin 12
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 286
11.7%
아 279
 
11.4%
터 279
 
11.4%
지 272
 
11.1%
센 269
 
11.0%
역 266
 
10.9%
나 24
 
1.0%
꿈 22
 
0.9%
사 21
 
0.9%
무 18
 
0.7%
Other values (225) 712
29.1%
Latin
ValueCountFrequency (%)
C 3
25.0%
N 2
16.7%
Z 1
 
8.3%
O 1
 
8.3%
E 1
 
8.3%
J 1
 
8.3%
A 1
 
8.3%
M 1
 
8.3%
Y 1
 
8.3%
Common
ValueCountFrequency (%)
9
45.0%
1 4
20.0%
8 2
 
10.0%
3 2
 
10.0%
) 1
 
5.0%
( 1
 
5.0%
_ 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2448
98.7%
ASCII 32
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 286
11.7%
아 279
 
11.4%
터 279
 
11.4%
지 272
 
11.1%
센 269
 
11.0%
역 266
 
10.9%
나 24
 
1.0%
꿈 22
 
0.9%
사 21
 
0.9%
무 18
 
0.7%
Other values (225) 712
29.1%
ASCII
ValueCountFrequency (%)
9
28.1%
1 4
12.5%
C 3
 
9.4%
8 2
 
6.2%
3 2
 
6.2%
N 2
 
6.2%
) 1
 
3.1%
( 1
 
3.1%
Z 1
 
3.1%
O 1
 
3.1%
Other values (6) 6
18.8%

시설장
Text

Distinct260
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T09:22:46.252634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0036496
Min length3

Characters and Unicode

Total characters823
Distinct characters125
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

Unique247 ?
Unique (%)90.1%

Sample

1st row조정미
2nd row이종화
3rd row정남순
4th row윤지영
5th row정미향
ValueCountFrequency (%)
이현숙 3
 
1.1%
김영희 2
 
0.7%
박경옥 2
 
0.7%
이선희 2
 
0.7%
강영미 2
 
0.7%
이경선 2
 
0.7%
김경옥 2
 
0.7%
김미란 2
 
0.7%
이지은 2
 
0.7%
김현주 2
 
0.7%
Other values (250) 253
92.3%
2023-12-12T09:22:46.693424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 59
 
7.2%
이 56
 
6.8%
정 51
 
6.2%
경 37
 
4.5%
미 33
 
4.0%
영 33
 
4.0%
희 32
 
3.9%
숙 31
 
3.8%
박 26
 
3.2%
옥 16
 
1.9%
Other values (115) 449
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 823
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 59
 
7.2%
이 56
 
6.8%
정 51
 
6.2%
경 37
 
4.5%
미 33
 
4.0%
영 33
 
4.0%
희 32
 
3.9%
숙 31
 
3.8%
박 26
 
3.2%
옥 16
 
1.9%
Other values (115) 449
54.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 823
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 59
 
7.2%
이 56
 
6.8%
정 51
 
6.2%
경 37
 
4.5%
미 33
 
4.0%
영 33
 
4.0%
희 32
 
3.9%
숙 31
 
3.8%
박 26
 
3.2%
옥 16
 
1.9%
Other values (115) 449
54.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 823
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 59
 
7.2%
이 56
 
6.8%
정 51
 
6.2%
경 37
 
4.5%
미 33
 
4.0%
영 33
 
4.0%
희 32
 
3.9%
숙 31
 
3.8%
박 26
 
3.2%
옥 16
 
1.9%
Other values (115) 449
54.6%

운영주체
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
개인
179 
법인
73 
일반단체
 
11
공립형
 
6
단체
 
2
Other values (2)
 
3

Length

Max length7
Median length2
Mean length2.1459854
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
개인 179
65.3%
법인 73
26.6%
일반단체 11
 
4.0%
공립형 6
 
2.2%
단체 2
 
0.7%
사회적협동조합 2
 
0.7%
민간단체 1
 
0.4%

Length

2023-12-12T09:22:46.840199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:22:46.949184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 179
65.3%
법인 73
26.6%
일반단체 11
 
4.0%
공립형 6
 
2.2%
단체 2
 
0.7%
사회적협동조합 2
 
0.7%
민간단체 1
 
0.4%

대표자
Text

MISSING 

Distinct253
Distinct (%)93.4%
Missing3
Missing (%)1.1%
Memory size2.3 KiB
2023-12-12T09:22:47.255503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0221402
Min length2

Characters and Unicode

Total characters819
Distinct characters158
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique239 ?
Unique (%)88.2%

Sample

1st row김판극
2nd row이종화
3rd row강춘길
4th row윤지영
5th row주해남
ValueCountFrequency (%)
유원식 3
 
1.1%
서경석 3
 
1.1%
김윤정 3
 
1.1%
이호균 3
 
1.1%
정병대 2
 
0.7%
박지혁 2
 
0.7%
박경옥 2
 
0.7%
황춘광 2
 
0.7%
김순호 2
 
0.7%
봉화군 2
 
0.7%
Other values (244) 248
91.2%
2023-12-12T09:22:47.701512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 64
 
7.8%
이 53
 
6.5%
박 30
 
3.7%
정 30
 
3.7%
경 23
 
2.8%
희 18
 
2.2%
영 18
 
2.2%
호 15
 
1.8%
미 14
 
1.7%
종 14
 
1.7%
Other values (148) 540
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 817
99.8%
Space Separator 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 64
 
7.8%
이 53
 
6.5%
박 30
 
3.7%
정 30
 
3.7%
경 23
 
2.8%
희 18
 
2.2%
영 18
 
2.2%
호 15
 
1.8%
미 14
 
1.7%
종 14
 
1.7%
Other values (146) 538
65.9%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 817
99.8%
Common 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 64
 
7.8%
이 53
 
6.5%
박 30
 
3.7%
정 30
 
3.7%
경 23
 
2.8%
희 18
 
2.2%
영 18
 
2.2%
호 15
 
1.8%
미 14
 
1.7%
종 14
 
1.7%
Other values (146) 538
65.9%
Common
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 817
99.8%
ASCII 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 64
 
7.8%
이 53
 
6.5%
박 30
 
3.7%
정 30
 
3.7%
경 23
 
2.8%
희 18
 
2.2%
영 18
 
2.2%
호 15
 
1.8%
미 14
 
1.7%
종 14
 
1.7%
Other values (146) 538
65.9%
ASCII
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

소재지
Text

UNIQUE 

Distinct274
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T09:22:48.017008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length32
Mean length19.762774
Min length10

Characters and Unicode

Total characters5415
Distinct characters243
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique274 ?
Unique (%)100.0%

Sample

1st row포항시 남구 송림로79번길 12-3 (송도동)
2nd row포항시 남구 구룡포읍 구룡포길65번길,8-2
3rd row포항시 북구 기계면 성계길96번길 63-33
4th row포항시 남구 연일읍 연일로 154, 203동 301호 (삼도한솔타운2차(상가동))
5th row포항시 남구 대송면 제내길 4
ValueCountFrequency (%)
포항시 64
 
5.6%
구미시 47
 
4.1%
남구 33
 
2.9%
북구 31
 
2.7%
경주시 28
 
2.5%
경산시 21
 
1.8%
경북 17
 
1.5%
2층 16
 
1.4%
김천시 13
 
1.1%
칠곡군 12
 
1.1%
Other values (663) 859
75.3%
2023-12-12T09:22:48.517704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
939
 
17.3%
1 247
 
4.6%
시 223
 
4.1%
2 196
 
3.6%
길 190
 
3.5%
로 174
 
3.2%
동 151
 
2.8%
3 133
 
2.5%
구 126
 
2.3%
( 119
 
2.2%
Other values (233) 2917
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3005
55.5%
Decimal Number 1061
 
19.6%
Space Separator 939
 
17.3%
Open Punctuation 119
 
2.2%
Close Punctuation 119
 
2.2%
Dash Punctuation 113
 
2.1%
Other Punctuation 50
 
0.9%
Connector Punctuation 6
 
0.1%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 223
 
7.4%
길 190
 
6.3%
로 174
 
5.8%
동 151
 
5.0%
구 126
 
4.2%
경 84
 
2.8%
읍 82
 
2.7%
포 77
 
2.6%
주 68
 
2.3%
항 68
 
2.3%
Other values (215) 1762
58.6%
Decimal Number
ValueCountFrequency (%)
1 247
23.3%
2 196
18.5%
3 133
12.5%
4 89
 
8.4%
5 79
 
7.4%
7 67
 
6.3%
6 67
 
6.3%
0 65
 
6.1%
8 63
 
5.9%
9 55
 
5.2%
Space Separator
ValueCountFrequency (%)
939
100.0%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3005
55.5%
Common 2408
44.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 223
 
7.4%
길 190
 
6.3%
로 174
 
5.8%
동 151
 
5.0%
구 126
 
4.2%
경 84
 
2.8%
읍 82
 
2.7%
포 77
 
2.6%
주 68
 
2.3%
항 68
 
2.3%
Other values (215) 1762
58.6%
Common
ValueCountFrequency (%)
939
39.0%
1 247
 
10.3%
2 196
 
8.1%
3 133
 
5.5%
( 119
 
4.9%
) 119
 
4.9%
- 113
 
4.7%
4 89
 
3.7%
5 79
 
3.3%
7 67
 
2.8%
Other values (7) 307
 
12.7%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3005
55.5%
ASCII 2410
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
939
39.0%
1 247
 
10.2%
2 196
 
8.1%
3 133
 
5.5%
( 119
 
4.9%
) 119
 
4.9%
- 113
 
4.7%
4 89
 
3.7%
5 79
 
3.3%
7 67
 
2.8%
Other values (8) 309
 
12.8%
Hangul
ValueCountFrequency (%)
시 223
 
7.4%
길 190
 
6.3%
로 174
 
5.8%
동 151
 
5.0%
구 126
 
4.2%
경 84
 
2.8%
읍 82
 
2.7%
포 77
 
2.6%
주 68
 
2.3%
항 68
 
2.3%
Other values (215) 1762
58.6%

연락처
Text

UNIQUE 

Distinct274
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T09:22:48.787644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.083942
Min length12

Characters and Unicode

Total characters3311
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique274 ?
Unique (%)100.0%

Sample

1st row054-242-5593
2nd row054-284-1199
3rd row054-244-0094
4th row054-283-5700
5th row054-285-2622
ValueCountFrequency (%)
054-242-5593 1
 
0.4%
054-534-2046 1
 
0.4%
054-332-8418 1
 
0.4%
054-331-9634 1
 
0.4%
054-331-1114 1
 
0.4%
054-331-7270 1
 
0.4%
054-856-7943 1
 
0.4%
054-337-0153 1
 
0.4%
054-533-5621 1
 
0.4%
054-854-0730 1
 
0.4%
Other values (264) 264
96.4%
2023-12-12T09:22:49.246329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 548
16.6%
4 475
14.3%
5 451
13.6%
0 448
13.5%
3 227
6.9%
7 227
6.9%
2 224
6.8%
1 202
 
6.1%
6 178
 
5.4%
8 175
 
5.3%
Other values (2) 156
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2762
83.4%
Dash Punctuation 548
 
16.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 475
17.2%
5 451
16.3%
0 448
16.2%
3 227
8.2%
7 227
8.2%
2 224
8.1%
1 202
7.3%
6 178
 
6.4%
8 175
 
6.3%
9 155
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 548
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3311
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 548
16.6%
4 475
14.3%
5 451
13.6%
0 448
13.5%
3 227
6.9%
7 227
6.9%
2 224
6.8%
1 202
 
6.1%
6 178
 
5.4%
8 175
 
5.3%
Other values (2) 156
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3311
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 548
16.6%
4 475
14.3%
5 451
13.6%
0 448
13.5%
3 227
6.9%
7 227
6.9%
2 224
6.8%
1 202
 
6.1%
6 178
 
5.4%
8 175
 
5.3%
Other values (2) 156
 
4.7%

종사자수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2
207 
3
64 
4
 
2
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row2
2nd row3
3rd row2
4th row2
5th row3

Common Values

ValueCountFrequency (%)
2 207
75.5%
3 64
 
23.4%
4 2
 
0.7%
1 1
 
0.4%

Length

2023-12-12T09:22:49.414044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:22:49.520920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 207
75.5%
3 64
 
23.4%
4 2
 
0.7%
1 1
 
0.4%

일일평균_이용자 수
Real number (ℝ)

HIGH CORRELATION 

Distinct37
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.886861
Minimum9
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T09:22:49.692321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile15
Q119
median26
Q329
95-th percentile39.35
Maximum46
Range37
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.5905987
Coefficient of variation (CV)0.29322206
Kurtosis-0.32890257
Mean25.886861
Median Absolute Deviation (MAD)7
Skewness0.35864438
Sum7093
Variance57.617189
MonotonicityNot monotonic
2023-12-12T09:22:49.849723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
19 46
16.8%
29 32
 
11.7%
27 19
 
6.9%
25 16
 
5.8%
28 14
 
5.1%
26 13
 
4.7%
18 11
 
4.0%
24 11
 
4.0%
17 10
 
3.6%
32 9
 
3.3%
Other values (27) 93
33.9%
ValueCountFrequency (%)
9 1
 
0.4%
11 2
 
0.7%
12 3
 
1.1%
13 3
 
1.1%
14 1
 
0.4%
15 5
 
1.8%
16 7
 
2.6%
17 10
 
3.6%
18 11
 
4.0%
19 46
16.8%
ValueCountFrequency (%)
46 2
 
0.7%
45 2
 
0.7%
44 1
 
0.4%
43 1
 
0.4%
42 2
 
0.7%
41 2
 
0.7%
40 4
1.5%
39 7
2.6%
38 2
 
0.7%
37 4
1.5%

Interactions

2023-12-12T09:22:44.537800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:22:44.408948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:22:44.607927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:22:44.469262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:22:50.309591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군명운영주체종사자수일일평균_이용자 수
연번1.0000.9530.4000.2700.442
시군명0.9531.0000.7650.7100.618
운영주체0.4000.7651.0000.4360.208
종사자수0.2700.7100.4361.0000.733
일일평균_이용자 수0.4420.6180.2080.7331.000
2023-12-12T09:22:50.437720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명운영주체종사자수
시군명1.0000.4480.449
운영주체0.4481.0000.312
종사자수0.4490.3121.000
2023-12-12T09:22:50.527684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번일일평균_이용자 수시군명운영주체종사자수
연번1.0000.1110.7510.2140.162
일일평균_이용자 수0.1111.0000.2740.1050.534
시군명0.7510.2741.0000.4480.449
운영주체0.2140.1050.4481.0000.312
종사자수0.1620.5340.4490.3121.000

Missing values

2023-12-12T09:22:44.709125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:22:44.837395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번시군명대상자별시설유형시설명시설장운영주체대표자소재지연락처종사자수일일평균_이용자 수
01포항시아동지역아동센터감사해요지역아동센터조정미개인김판극포항시 남구 송림로79번길 12-3 (송도동)054-242-5593215
12포항시아동지역아동센터구룡포지역아동센터이종화개인이종화포항시 남구 구룡포읍 구룡포길65번길,8-2054-284-1199333
23포항시아동지역아동센터그리심지역아동센터정남순개인강춘길포항시 북구 기계면 성계길96번길 63-33054-244-0094228
34포항시아동지역아동센터그린지역아동센터윤지영개인윤지영포항시 남구 연일읍 연일로 154, 203동 301호 (삼도한솔타운2차(상가동))054-283-5700215
45포항시아동지역아동센터그림속세상지역아동센터정미향개인주해남포항시 남구 대송면 제내길 4054-285-2622330
56포항시아동지역아동센터기쁨의지역아동센터김경옥법인이선종포항시 북구 삼흥로 411,B동121(양덕동)054-231-772029
67포항시아동지역아동센터꿈나무지역아동센터황희순개인김만호포항시 북구 중흥로171번길 12 (죽도동)054-275-9088229
78포항시아동지역아동센터늘푸른마음지역아동센터김정령법인김규목포항시 북구 삼호로321번길 22-20 (두호동)054-252-6612227
89포항시아동지역아동센터달전지역아동센터문영섭개인권춘옥포항시 북구 흥해읍 달전로 199-1054-262-1042112
910포항시아동지역아동센터대도 행복한홈스쿨지역아동센터김현주법인서경석포항시 남구 상공로13번지054-284-6655225
연번시군명대상자별시설유형시설명시설장운영주체대표자소재지연락처종사자수일일평균_이용자 수
264265예천군아동지역아동센터금당실지역아동센터이민옥법인김완기예천군 용문면 금당실길 51-16054-655-0691229
265266예천군아동지역아동센터로뎀지역아동센터김인옥사회적협동조합김인옥예천군 지보면 지보로 163054-655-3721229
266267예천군아동지역아동센터예천지역아동센터이지은사회적협동조합이동희예천군 예천읍 봉덕로 21, 2층054-653-4284229
267268예천군아동지역아동센터보문지역아동센터고예송개인권용숙예천군 보문면 미호길 158054-654-8280219
268269예천군아동지역아동센터은풍골지역아동센터변은숙개인박영숙예천군 은풍면 은풍로 88070-8846-4326219
269270봉화군아동지역아동센터재산지역아동센터김귀철법인김귀철봉화군 재산면 재산로 605054-672-7260215
270271봉화군아동지역아동센터석포행복지역아동센터정정희공립형봉화군봉화군 석포면 석포로1길 27-19054-674-0098429
271272봉화군아동지역아동센터춘양봄볕지역아동센터이화정공립형봉화군봉화군 춘양면 춘양로 153-30054-674-3031426
272273울진군아동지역아동센터울진지역아동센터임순남개인임순남울진군 울진읍 읍내8길 26, 2층054-783-7941331
273274울릉군아동지역아동센터선원자성지역아동센터이희숙법인이지은울릉군 서면 남양4길 39054-791-4943212