Overview

Dataset statistics

Number of variables6
Number of observations128
Missing cells3
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory50.0 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시의 발달재활서비스와 언어발달지원 바우처 제공기관에 대한 데이터로 제공기관명과 제공기관 주소 및 제공기관 연락처를 제공합니다
URLhttps://www.data.go.kr/data/15103869/fileData.do

Alerts

연번 is highly overall correlated with 군구High correlation
군구 is highly overall correlated with 연번High correlation
전화번호 has 3 (2.3%) missing valuesMissing
연번 has unique valuesUnique
기관주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:25:47.305944
Analysis finished2023-12-11 23:25:48.143683
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.5
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T08:25:48.211980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.35
Q132.75
median64.5
Q396.25
95-th percentile121.65
Maximum128
Range127
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation37.094474
Coefficient of variation (CV)0.57510812
Kurtosis-1.2
Mean64.5
Median Absolute Deviation (MAD)32
Skewness0
Sum8256
Variance1376
MonotonicityStrictly increasing
2023-12-12T08:25:48.357925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
66 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (118) 118
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%

군구
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
남동구
29 
서구
26 
부평구
19 
미추홀구
15 
계양구
15 
Other values (4)
24 

Length

Max length4
Median length3
Mean length2.8125
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row강화군
2nd row중구
3rd row중구
4th row중구
5th row중구

Common Values

ValueCountFrequency (%)
남동구 29
22.7%
서구 26
20.3%
부평구 19
14.8%
미추홀구 15
11.7%
계양구 15
11.7%
연수구 10
 
7.8%
중구 9
 
7.0%
동구 4
 
3.1%
강화군 1
 
0.8%

Length

2023-12-12T08:25:48.478552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:48.592288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 29
22.7%
서구 26
20.3%
부평구 19
14.8%
미추홀구 15
11.7%
계양구 15
11.7%
연수구 10
 
7.8%
중구 9
 
7.0%
동구 4
 
3.1%
강화군 1
 
0.8%

제공기관명
Text

Distinct125
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T08:25:48.828068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length11.023438
Min length4

Characters and Unicode

Total characters1411
Distinct characters209
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)95.3%

Sample

1st row웰트리심리상담센터
2nd row중구장애인종합복지관(본관)
3rd row중구장애인종합복지관(분관)
4th row큰가람언어심리발달센터
5th row한국덴버아동발달센터
ValueCountFrequency (%)
김태우심리언어연구소 5
 
2.9%
아동발달센터 3
 
1.7%
주식회사 3
 
1.7%
발달센터 3
 
1.7%
아동청소년발달센터 2
 
1.1%
아동복지종합센터 2
 
1.1%
마인드언어심리상담센터 2
 
1.1%
꿈비아동발달센터 2
 
1.1%
희망찬심리발달센터 2
 
1.1%
아이누리아동발달센터 1
 
0.6%
Other values (149) 149
85.6%
2023-12-12T08:25:49.214661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 94
 
6.7%
터 94
 
6.7%
달 68
 
4.8%
발 68
 
4.8%
리 62
 
4.4%
아 57
 
4.0%
동 54
 
3.8%
48
 
3.4%
심 45
 
3.2%
소 29
 
2.1%
Other values (199) 792
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1338
94.8%
Space Separator 48
 
3.4%
Close Punctuation 10
 
0.7%
Open Punctuation 10
 
0.7%
Other Symbol 2
 
0.1%
Lowercase Letter 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 94
 
7.0%
터 94
 
7.0%
달 68
 
5.1%
발 68
 
5.1%
리 62
 
4.6%
아 57
 
4.3%
동 54
 
4.0%
심 45
 
3.4%
소 29
 
2.2%
어 29
 
2.2%
Other values (192) 738
55.2%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1340
95.0%
Common 69
 
4.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 94
 
7.0%
터 94
 
7.0%
달 68
 
5.1%
발 68
 
5.1%
리 62
 
4.6%
아 57
 
4.3%
동 54
 
4.0%
심 45
 
3.4%
소 29
 
2.2%
어 29
 
2.2%
Other values (193) 740
55.2%
Common
ValueCountFrequency (%)
48
69.6%
) 10
 
14.5%
( 10
 
14.5%
- 1
 
1.4%
Latin
ValueCountFrequency (%)
e 1
50.0%
i 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1338
94.8%
ASCII 71
 
5.0%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 94
 
7.0%
터 94
 
7.0%
달 68
 
5.1%
발 68
 
5.1%
리 62
 
4.6%
아 57
 
4.3%
동 54
 
4.0%
심 45
 
3.4%
소 29
 
2.2%
어 29
 
2.2%
Other values (192) 738
55.2%
ASCII
ValueCountFrequency (%)
48
67.6%
) 10
 
14.1%
( 10
 
14.1%
e 1
 
1.4%
- 1
 
1.4%
i 1
 
1.4%
None
ValueCountFrequency (%)
㈜ 2
100.0%

대표자
Text

Distinct117
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T08:25:49.536040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0078125
Min length2

Characters and Unicode

Total characters385
Distinct characters92
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

Unique108 ?
Unique (%)84.4%

Sample

1st row정구일
2nd row최상희
3rd row최상희
4th row공화자
5th row김정수
ValueCountFrequency (%)
김태우 4
 
3.1%
최상희 2
 
1.6%
이경주 2
 
1.6%
정지숙 2
 
1.6%
권영 2
 
1.6%
김지혜 2
 
1.6%
김수곤 2
 
1.6%
엄창식 2
 
1.6%
김윤선 2
 
1.6%
이병철 1
 
0.8%
Other values (107) 107
83.6%
2023-12-12T08:25:49.960319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 33
 
8.6%
이 21
 
5.5%
정 20
 
5.2%
선 15
 
3.9%
희 14
 
3.6%
경 13
 
3.4%
은 12
 
3.1%
진 11
 
2.9%
주 9
 
2.3%
수 9
 
2.3%
Other values (82) 228
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 384
99.7%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 33
 
8.6%
이 21
 
5.5%
정 20
 
5.2%
선 15
 
3.9%
희 14
 
3.6%
경 13
 
3.4%
은 12
 
3.1%
진 11
 
2.9%
주 9
 
2.3%
수 9
 
2.3%
Other values (81) 227
59.1%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
99.7%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 33
 
8.6%
이 21
 
5.5%
정 20
 
5.2%
선 15
 
3.9%
희 14
 
3.6%
경 13
 
3.4%
은 12
 
3.1%
진 11
 
2.9%
주 9
 
2.3%
수 9
 
2.3%
Other values (81) 227
59.1%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 384
99.7%
ASCII 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 33
 
8.6%
이 21
 
5.5%
정 20
 
5.2%
선 15
 
3.9%
희 14
 
3.6%
경 13
 
3.4%
은 12
 
3.1%
진 11
 
2.9%
주 9
 
2.3%
수 9
 
2.3%
Other values (81) 227
59.1%
ASCII
ValueCountFrequency (%)
, 1
100.0%

전화번호
Text

MISSING 

Distinct121
Distinct (%)96.8%
Missing3
Missing (%)2.3%
Memory size1.1 KiB
2023-12-12T08:25:50.191062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length12
Mean length12.232
Min length12

Characters and Unicode

Total characters1529
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)95.2%

Sample

1st row032-934-9348
2nd row032-880-2475
3rd row032-752-2433
4th row032-752-7721
5th row032-751-7588
ValueCountFrequency (%)
032-821-2752 4
 
3.2%
032-545-8856 2
 
1.6%
070-7574-2056 1
 
0.8%
032-437-6677 1
 
0.8%
032-934-9348 1
 
0.8%
032-502-3858 1
 
0.8%
032-555-8870 1
 
0.8%
032-555-2941 1
 
0.8%
032-542-3711 1
 
0.8%
032-542-2675 1
 
0.8%
Other values (112) 112
88.9%
2023-12-12T08:25:50.550303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 252
16.5%
2 233
15.2%
0 211
13.8%
3 180
11.8%
5 139
9.1%
7 128
8.4%
8 100
 
6.5%
4 91
 
6.0%
1 80
 
5.2%
6 68
 
4.4%
Other values (5) 47
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1271
83.1%
Dash Punctuation 252
 
16.5%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Other Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 233
18.3%
0 211
16.6%
3 180
14.2%
5 139
10.9%
7 128
10.1%
8 100
7.9%
4 91
 
7.2%
1 80
 
6.3%
6 68
 
5.4%
9 41
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 252
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1529
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 252
16.5%
2 233
15.2%
0 211
13.8%
3 180
11.8%
5 139
9.1%
7 128
8.4%
8 100
 
6.5%
4 91
 
6.0%
1 80
 
5.2%
6 68
 
4.4%
Other values (5) 47
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1529
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 252
16.5%
2 233
15.2%
0 211
13.8%
3 180
11.8%
5 139
9.1%
7 128
8.4%
8 100
 
6.5%
4 91
 
6.0%
1 80
 
5.2%
6 68
 
4.4%
Other values (5) 47
 
3.1%

기관주소
Text

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T08:25:50.819690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40.5
Mean length31.203125
Min length6

Characters and Unicode

Total characters3994
Distinct characters233
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

Unique128 ?
Unique (%)100.0%

Sample

1st row강화군 강화읍 강화대로404번길 7, 그랑프리 403호
2nd row매소홀로 10(신흥동)
3rd row영종해안북로1000-26
4th row영종대로 108(운서동)
5th row하늘달빛로 94, 701호
ValueCountFrequency (%)
인천광역시 81
 
11.3%
남동구 29
 
4.1%
서구 26
 
3.6%
계양구 15
 
2.1%
미추홀구 15
 
2.1%
연수구 10
 
1.4%
5층 10
 
1.4%
삼산동 5
 
0.7%
가정동 5
 
0.7%
계산동 5
 
0.7%
Other values (411) 513
71.8%
2023-12-12T08:25:51.277545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
586
 
14.7%
, 202
 
5.1%
동 155
 
3.9%
0 132
 
3.3%
로 127
 
3.2%
1 127
 
3.2%
( 110
 
2.8%
) 110
 
2.8%
구 108
 
2.7%
3 102
 
2.6%
Other values (223) 2235
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2184
54.7%
Decimal Number 779
 
19.5%
Space Separator 586
 
14.7%
Other Punctuation 202
 
5.1%
Open Punctuation 110
 
2.8%
Close Punctuation 110
 
2.8%
Dash Punctuation 10
 
0.3%
Uppercase Letter 9
 
0.2%
Math Symbol 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 155
 
7.1%
로 127
 
5.8%
구 108
 
4.9%
인 96
 
4.4%
호 92
 
4.2%
천 89
 
4.1%
시 85
 
3.9%
광 83
 
3.8%
역 81
 
3.7%
라 48
 
2.2%
Other values (199) 1220
55.9%
Decimal Number
ValueCountFrequency (%)
0 132
16.9%
1 127
16.3%
3 102
13.1%
2 100
12.8%
4 83
10.7%
5 74
9.5%
6 54
6.9%
7 42
 
5.4%
9 34
 
4.4%
8 31
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
S 3
33.3%
D 2
22.2%
J 1
 
11.1%
C 1
 
11.1%
H 1
 
11.1%
A 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
586
100.0%
Other Punctuation
ValueCountFrequency (%)
, 202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2184
54.7%
Common 1799
45.0%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 155
 
7.1%
로 127
 
5.8%
구 108
 
4.9%
인 96
 
4.4%
호 92
 
4.2%
천 89
 
4.1%
시 85
 
3.9%
광 83
 
3.8%
역 81
 
3.7%
라 48
 
2.2%
Other values (199) 1220
55.9%
Common
ValueCountFrequency (%)
586
32.6%
, 202
 
11.2%
0 132
 
7.3%
1 127
 
7.1%
( 110
 
6.1%
) 110
 
6.1%
3 102
 
5.7%
2 100
 
5.6%
4 83
 
4.6%
5 74
 
4.1%
Other values (6) 173
 
9.6%
Latin
ValueCountFrequency (%)
S 3
27.3%
D 2
18.2%
J 1
 
9.1%
C 1
 
9.1%
k 1
 
9.1%
s 1
 
9.1%
H 1
 
9.1%
A 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2184
54.7%
ASCII 1810
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
586
32.4%
, 202
 
11.2%
0 132
 
7.3%
1 127
 
7.0%
( 110
 
6.1%
) 110
 
6.1%
3 102
 
5.6%
2 100
 
5.5%
4 83
 
4.6%
5 74
 
4.1%
Other values (14) 184
 
10.2%
Hangul
ValueCountFrequency (%)
동 155
 
7.1%
로 127
 
5.8%
구 108
 
4.9%
인 96
 
4.4%
호 92
 
4.2%
천 89
 
4.1%
시 85
 
3.9%
광 83
 
3.8%
역 81
 
3.7%
라 48
 
2.2%
Other values (199) 1220
55.9%

Interactions

2023-12-12T08:25:47.640542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:25:51.366761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구
연번1.0000.933
군구0.9331.000
2023-12-12T08:25:51.443533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구
연번1.0000.776
군구0.7761.000

Missing values

2023-12-12T08:25:48.024494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:25:48.111058image/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

연번군구제공기관명대표자전화번호기관주소
01강화군웰트리심리상담센터정구일032-934-9348강화군 강화읍 강화대로404번길 7, 그랑프리 403호
12중구중구장애인종합복지관(본관)최상희032-880-2475매소홀로 10(신흥동)
23중구중구장애인종합복지관(분관)최상희032-752-2433영종해안북로1000-26
34중구큰가람언어심리발달센터공화자032-752-7721영종대로 108(운서동)
45중구한국덴버아동발달센터김정수<NA>하늘달빛로 94, 701호
56중구참사랑아동발달상담센터여태상032-751-7588자연대로 40(영종동)
67중구즐거운언어심리상담센터김진영032-746-9988흰바위로 31(운서동)
78중구위드아동청소년상담센터신순진032-752-7942하늘별빛로65번길 7-9
89중구성미가엘종합사회복지관박종실032-766-0981송학로 40(내동)
910중구하임아동발달센터임은주032-508-0406하늘중앙로 195번길 21 에스디메디컬 5층
연번군구제공기관명대표자전화번호기관주소
118119서구이솔아동발달센터권용우032-552-7220인천광역시 서구 원당대로 853, 2층 (당하동, 삼정프라자)
119120서구주식회사 청라라파 언어심리센터정동희032-567-7756인천광역시 서구 청라에메랄드로102번길 10, 305,306호층 308,309호 (청라동)
120121서구주식회사김경혜심리발달클리닉김경혜032-572-3434인천광역시 서구 원적로 120, 502호403호 (가좌동, 인성프라자)
121122서구하늘소리언어심리센터이의연032-572-8383인천광역시 서구 가정로 361, 5층 (신현동, 두산빌딩)
122123서구한결아동발달연구소이선희<NA>인천광역시 서구 이음5로 60, 401호 (원당동, JS프라자)
123124서구한양심리발달연구소정지현032-563-5697인천광역시 서구 중봉대로 594, 7층 701호 (청라동, 청라비전프라자)
124125서구햇살나무발달센터김유리<NA>인천광역시 서구 청마로167번길 3, 302호 (당하동, 대우프라자)
125126서구헬로마미감각통합발달센터임선진032-564-5175인천광역시 서구 청마로167번길 14, 401호 (당하동, 성경빌딩)
126127서구휴먼피아이경주032-567-7120인천광역시 서구 중봉대로612번길 10-8, 404 (연희동, 번안프라자)
127128서구희망찬심리발달센터김양희032-513-7005인천광역시 서구 청라에메랄드로102번길 26, 305호306호 (청라동, 서진프라자)