Overview

Dataset statistics

Number of variables13
Number of observations254
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.2 KiB
Average record size in memory109.5 B

Variable types

Numeric5
Categorical2
Text6

Dataset

Description전국 장애인복지관 현황(전국)으로 법인현황, 시설명, 시설주소, 전화번호, 팩스번호, 종사자 정원, 종사자 현원에 대한 데이터를 제공합니다.
Author보건복지부
URLhttps://www.data.go.kr/data/15075529/fileData.do

Alerts

시설유형 has constant value ""Constant
연번 is highly overall correlated with 와이(Y)좌표 and 1 other fieldsHigh correlation
종사자정원 is highly overall correlated with 종사자 현원High correlation
종사자 현원 is highly overall correlated with 종사자정원High correlation
엑스(X)좌표 is highly overall correlated with 시도High correlation
와이(Y)좌표 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
시도 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:21:57.641131
Analysis finished2023-12-12 14:22:01.289216
Duration3.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct254
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.5
Minimum1
Maximum254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T23:22:01.358946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.65
Q164.25
median127.5
Q3190.75
95-th percentile241.35
Maximum254
Range253
Interquartile range (IQR)126.5

Descriptive statistics

Standard deviation73.46768
Coefficient of variation (CV)0.5762171
Kurtosis-1.2
Mean127.5
Median Absolute Deviation (MAD)63.5
Skewness0
Sum32385
Variance5397.5
MonotonicityStrictly increasing
2023-12-12T23:22:01.498786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
176 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
Other values (244) 244
96.1%
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 (%)
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%

시도
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
서울
49 
경기도
36 
경상북도
22 
경상남도
19 
부산
17 
Other values (12)
111 

Length

Max length4
Median length3
Mean length2.996063
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
서울 49
19.3%
경기도 36
14.2%
경상북도 22
8.7%
경상남도 19
 
7.5%
부산 17
 
6.7%
충청남도 17
 
6.7%
전라남도 17
 
6.7%
전라북도 13
 
5.1%
충청북도 13
 
5.1%
인천 10
 
3.9%
Other values (7) 41
16.1%

Length

2023-12-12T23:22:01.678937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 49
19.3%
경기도 36
14.2%
경상북도 22
8.7%
경상남도 19
 
7.5%
부산 17
 
6.7%
충청남도 17
 
6.7%
전라남도 17
 
6.7%
충청북도 13
 
5.1%
전라북도 13
 
5.1%
인천 10
 
3.9%
Other values (7) 41
16.1%

시군구
Text

Distinct179
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T23:22:02.137125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3
Min length1

Characters and Unicode

Total characters762
Distinct characters128
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

Unique142 ?
Unique (%)55.9%

Sample

1st row강남구
2nd row강남구
3rd row강남구
4th row강남구
5th row강남구
ValueCountFrequency (%)
동구 7
 
2.8%
노원구 6
 
2.4%
강남구 5
 
2.0%
창원시 5
 
2.0%
남구 5
 
2.0%
북구 5
 
2.0%
포항시 4
 
1.6%
강동구 4
 
1.6%
제주시 4
 
1.6%
서구 4
 
1.6%
Other values (169) 205
80.7%
2023-12-12T23:22:02.754358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 102
 
13.4%
시 101
 
13.3%
군 57
 
7.5%
주 24
 
3.1%
동 23
 
3.0%
천 21
 
2.8%
성 19
 
2.5%
남 18
 
2.4%
서 17
 
2.2%
양 16
 
2.1%
Other values (118) 364
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 756
99.2%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 102
 
13.5%
시 101
 
13.4%
군 57
 
7.5%
주 24
 
3.2%
동 23
 
3.0%
천 21
 
2.8%
성 19
 
2.5%
남 18
 
2.4%
서 17
 
2.2%
양 16
 
2.1%
Other values (116) 358
47.4%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 756
99.2%
Common 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 102
 
13.5%
시 101
 
13.4%
군 57
 
7.5%
주 24
 
3.2%
동 23
 
3.0%
천 21
 
2.8%
성 19
 
2.5%
남 18
 
2.4%
서 17
 
2.2%
양 16
 
2.1%
Other values (116) 358
47.4%
Common
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 756
99.2%
ASCII 6
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 102
 
13.5%
시 101
 
13.4%
군 57
 
7.5%
주 24
 
3.2%
동 23
 
3.0%
천 21
 
2.8%
성 19
 
2.5%
남 18
 
2.4%
서 17
 
2.2%
양 16
 
2.1%
Other values (116) 358
47.4%
ASCII
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

시설유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
복지관
254 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복지관 254
100.0%

Length

2023-12-12T23:22:02.923912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:22:03.045203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복지관 254
100.0%

법인현황
Text

Distinct191
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T23:22:03.301378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length9.7795276
Min length1

Characters and Unicode

Total characters2484
Distinct characters235
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

Unique167 ?
Unique (%)65.7%

Sample

1st row하상복지재단
2nd row자애종합복지원
3rd row한국청각장애인복지회
4th row충현복지재단
5th row하상복지재단
ValueCountFrequency (%)
한국지체장애인협회 15
 
5.9%
대한불교조계종사회복지재단 13
 
5.1%
사)한국지체장애인협회 5
 
2.0%
사회복지법인기독교대한감리회사회복지재단 5
 
2.0%
대한성공회유지재단 4
 
1.6%
애명 4
 
1.6%
재단법인대한성공회유지재단 3
 
1.2%
한기장복지재단 3
 
1.2%
사회복지법인천주교청주교구사회복지회 3
 
1.2%
한국장로교복지재단 3
 
1.2%
Other values (181) 196
77.2%
2023-12-12T23:22:03.822971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 224
 
9.0%
지 206
 
8.3%
복 155
 
6.2%
사 122
 
4.9%
인 114
 
4.6%
단 101
 
4.1%
재 101
 
4.1%
한 89
 
3.6%
장 64
 
2.6%
교 62
 
2.5%
Other values (225) 1246
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2431
97.9%
Close Punctuation 26
 
1.0%
Open Punctuation 18
 
0.7%
Decimal Number 4
 
0.2%
Uppercase Letter 4
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 224
 
9.2%
지 206
 
8.5%
복 155
 
6.4%
사 122
 
5.0%
인 114
 
4.7%
단 101
 
4.2%
재 101
 
4.2%
한 89
 
3.7%
장 64
 
2.6%
교 62
 
2.6%
Other values (214) 1193
49.1%
Decimal Number
ValueCountFrequency (%)
0 1
25.0%
6 1
25.0%
5 1
25.0%
3 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
R 1
25.0%
S 1
25.0%
A 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2431
97.9%
Common 49
 
2.0%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 224
 
9.2%
지 206
 
8.5%
복 155
 
6.4%
사 122
 
5.0%
인 114
 
4.7%
단 101
 
4.2%
재 101
 
4.2%
한 89
 
3.7%
장 64
 
2.6%
교 62
 
2.6%
Other values (214) 1193
49.1%
Common
ValueCountFrequency (%)
) 26
53.1%
( 18
36.7%
0 1
 
2.0%
- 1
 
2.0%
6 1
 
2.0%
5 1
 
2.0%
3 1
 
2.0%
Latin
ValueCountFrequency (%)
C 1
25.0%
R 1
25.0%
S 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2431
97.9%
ASCII 53
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 224
 
9.2%
지 206
 
8.5%
복 155
 
6.4%
사 122
 
5.0%
인 114
 
4.7%
단 101
 
4.2%
재 101
 
4.2%
한 89
 
3.7%
장 64
 
2.6%
교 62
 
2.6%
Other values (214) 1193
49.1%
ASCII
ValueCountFrequency (%)
) 26
49.1%
( 18
34.0%
0 1
 
1.9%
C 1
 
1.9%
R 1
 
1.9%
S 1
 
1.9%
A 1
 
1.9%
- 1
 
1.9%
6 1
 
1.9%
5 1
 
1.9%

시설명
Text

Distinct249
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T23:22:04.167341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16.5
Mean length10.299213
Min length4

Characters and Unicode

Total characters2616
Distinct characters196
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

Unique246 ?
Unique (%)96.9%

Sample

1st row강남장애인복지관
2nd row성모자애복지관
3rd row청음복지관
4th row충현복지관
5th row하상장애인복지관
ValueCountFrequency (%)
강원도장애인종합복지관 4
 
1.6%
서구장애인복지관 2
 
0.8%
동구장애인복지관 2
 
0.8%
서귀포시장애인종합복지관 1
 
0.4%
충청남도남부장애인종합복지관 1
 
0.4%
부안종합사회복지관 1
 
0.4%
강남장애인복지관 1
 
0.4%
부여군장애인종합복지관 1
 
0.4%
홍성군장애인종합복지관 1
 
0.4%
충남서부장애인종합복지관청양분관 1
 
0.4%
Other values (239) 239
94.1%
2023-12-12T23:22:04.647504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 255
 
9.7%
복 251
 
9.6%
지 251
 
9.6%
인 224
 
8.6%
장 216
 
8.3%
애 214
 
8.2%
종 127
 
4.9%
합 125
 
4.8%
시 107
 
4.1%
군 43
 
1.6%
Other values (186) 803
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2614
99.9%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 255
 
9.8%
복 251
 
9.6%
지 251
 
9.6%
인 224
 
8.6%
장 216
 
8.3%
애 214
 
8.2%
종 127
 
4.9%
합 125
 
4.8%
시 107
 
4.1%
군 43
 
1.6%
Other values (184) 801
30.6%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2614
99.9%
Common 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 255
 
9.8%
복 251
 
9.6%
지 251
 
9.6%
인 224
 
8.6%
장 216
 
8.3%
애 214
 
8.2%
종 127
 
4.9%
합 125
 
4.8%
시 107
 
4.1%
군 43
 
1.6%
Other values (184) 801
30.6%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2614
99.9%
ASCII 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 255
 
9.8%
복 251
 
9.6%
지 251
 
9.6%
인 224
 
8.6%
장 216
 
8.3%
애 214
 
8.2%
종 127
 
4.9%
합 125
 
4.8%
시 107
 
4.1%
군 43
 
1.6%
Other values (184) 801
30.6%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

시설 주소
Text

Distinct248
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T23:22:05.038299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length27.5
Mean length18.362205
Min length10

Characters and Unicode

Total characters4664
Distinct characters269
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

Unique243 ?
Unique (%)95.7%

Sample

1st row서울시 강남구 개포로 605
2nd row서울시 강남구 헌릉로 757길 35
3rd row서울시 강남구 봉은사로 50길 6
4th row서울시 강남구 논현로 98길 16
5th row서울시 강남구 개포로 613
ValueCountFrequency (%)
서울시 48
 
4.5%
전남 13
 
1.2%
경북 11
 
1.0%
부산광역시 11
 
1.0%
강원도 10
 
0.9%
충남 9
 
0.8%
남구 8
 
0.7%
전북 8
 
0.7%
경남 7
 
0.6%
광주광역시 7
 
0.6%
Other values (759) 945
87.7%
2023-12-12T23:22:05.504393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
823
 
17.6%
로 212
 
4.5%
시 202
 
4.3%
1 181
 
3.9%
구 142
 
3.0%
2 124
 
2.7%
길 123
 
2.6%
3 106
 
2.3%
서 80
 
1.7%
동 79
 
1.7%
Other values (259) 2592
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2808
60.2%
Decimal Number 908
 
19.5%
Space Separator 823
 
17.6%
Dash Punctuation 48
 
1.0%
Open Punctuation 35
 
0.8%
Close Punctuation 35
 
0.8%
Other Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 212
 
7.5%
시 202
 
7.2%
구 142
 
5.1%
길 123
 
4.4%
서 80
 
2.8%
동 79
 
2.8%
남 73
 
2.6%
대 60
 
2.1%
군 59
 
2.1%
천 59
 
2.1%
Other values (244) 1719
61.2%
Decimal Number
ValueCountFrequency (%)
1 181
19.9%
2 124
13.7%
3 106
11.7%
5 79
8.7%
0 77
8.5%
7 74
8.1%
4 73
8.0%
6 73
8.0%
9 66
 
7.3%
8 55
 
6.1%
Space Separator
ValueCountFrequency (%)
823
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2808
60.2%
Common 1856
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 212
 
7.5%
시 202
 
7.2%
구 142
 
5.1%
길 123
 
4.4%
서 80
 
2.8%
동 79
 
2.8%
남 73
 
2.6%
대 60
 
2.1%
군 59
 
2.1%
천 59
 
2.1%
Other values (244) 1719
61.2%
Common
ValueCountFrequency (%)
823
44.3%
1 181
 
9.8%
2 124
 
6.7%
3 106
 
5.7%
5 79
 
4.3%
0 77
 
4.1%
7 74
 
4.0%
4 73
 
3.9%
6 73
 
3.9%
9 66
 
3.6%
Other values (5) 180
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2808
60.2%
ASCII 1856
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
823
44.3%
1 181
 
9.8%
2 124
 
6.7%
3 106
 
5.7%
5 79
 
4.3%
0 77
 
4.1%
7 74
 
4.0%
4 73
 
3.9%
6 73
 
3.9%
9 66
 
3.6%
Other values (5) 180
 
9.7%
Hangul
ValueCountFrequency (%)
로 212
 
7.5%
시 202
 
7.2%
구 142
 
5.1%
길 123
 
4.4%
서 80
 
2.8%
동 79
 
2.8%
남 73
 
2.6%
대 60
 
2.1%
군 59
 
2.1%
천 59
 
2.1%
Other values (244) 1719
61.2%

전화번호
Text

Distinct248
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T23:22:05.721485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.905512
Min length11

Characters and Unicode

Total characters3024
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

Unique244 ?
Unique (%)96.1%

Sample

1st row02-445-8006
2nd row02-3411-9581
3rd row02-556-3493
4th row02-2192-0600
5th row02-451-6000
ValueCountFrequency (%)
033-255-2491 4
 
1.6%
043-295-2505 2
 
0.8%
055-237-6485 2
 
0.8%
054-333-3535 2
 
0.8%
041-944-1397 1
 
0.4%
063-353-8286 1
 
0.4%
041-360-3040 1
 
0.4%
042-710-7071 1
 
0.4%
041-734-1010 1
 
0.4%
041-668-4844 1
 
0.4%
Other values (238) 238
93.7%
2023-12-12T23:22:06.075778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 583
19.3%
- 508
16.8%
3 281
9.3%
5 277
9.2%
2 272
9.0%
1 257
8.5%
4 220
 
7.3%
6 189
 
6.2%
7 161
 
5.3%
9 150
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2516
83.2%
Dash Punctuation 508
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 583
23.2%
3 281
11.2%
5 277
11.0%
2 272
10.8%
1 257
10.2%
4 220
 
8.7%
6 189
 
7.5%
7 161
 
6.4%
9 150
 
6.0%
8 126
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 508
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 583
19.3%
- 508
16.8%
3 281
9.3%
5 277
9.2%
2 272
9.0%
1 257
8.5%
4 220
 
7.3%
6 189
 
6.2%
7 161
 
5.3%
9 150
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 583
19.3%
- 508
16.8%
3 281
9.3%
5 277
9.2%
2 272
9.0%
1 257
8.5%
4 220
 
7.3%
6 189
 
6.2%
7 161
 
5.3%
9 150
 
5.0%

팩스번호
Text

Distinct245
Distinct (%)97.2%
Missing2
Missing (%)0.8%
Memory size2.1 KiB
2023-12-12T23:22:06.298732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.904762
Min length11

Characters and Unicode

Total characters3000
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

Unique240 ?
Unique (%)95.2%

Sample

1st row02-445-7010
2nd row02-3411-9584
3rd row02-555-4241
4th row02-2192-0696
5th row02-459-4377
ValueCountFrequency (%)
033-255-2494 4
 
1.6%
055-237-6489 2
 
0.8%
043-295-2502 2
 
0.8%
063-580-7601 2
 
0.8%
054-333-3536 2
 
0.8%
041-934-7242 1
 
0.4%
041-413-7099 1
 
0.4%
041-732-0110 1
 
0.4%
041-668-4944 1
 
0.4%
041-568-0420 1
 
0.4%
Other values (235) 235
93.3%
2023-12-12T23:22:06.673713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 504
16.8%
0 444
14.8%
3 313
10.4%
2 306
10.2%
5 267
8.9%
1 243
8.1%
4 235
7.8%
6 209
7.0%
9 170
 
5.7%
7 166
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2496
83.2%
Dash Punctuation 504
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 444
17.8%
3 313
12.5%
2 306
12.3%
5 267
10.7%
1 243
9.7%
4 235
9.4%
6 209
8.4%
9 170
 
6.8%
7 166
 
6.7%
8 143
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 504
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 504
16.8%
0 444
14.8%
3 313
10.4%
2 306
10.2%
5 267
8.9%
1 243
8.1%
4 235
7.8%
6 209
7.0%
9 170
 
5.7%
7 166
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 504
16.8%
0 444
14.8%
3 313
10.4%
2 306
10.2%
5 267
8.9%
1 243
8.1%
4 235
7.8%
6 209
7.0%
9 170
 
5.7%
7 166
 
5.5%

종사자정원
Real number (ℝ)

HIGH CORRELATION 

Distinct47
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.570866
Minimum0
Maximum99
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T23:22:06.823765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.3
Q122
median28
Q336
95-th percentile49
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.609085
Coefficient of variation (CV)0.4264023
Kurtosis5.2248387
Mean29.570866
Median Absolute Deviation (MAD)7
Skewness1.1513816
Sum7511
Variance158.98903
MonotonicityNot monotonic
2023-12-12T23:22:06.963261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
20 27
 
10.6%
22 15
 
5.9%
25 13
 
5.1%
29 13
 
5.1%
27 13
 
5.1%
23 12
 
4.7%
31 10
 
3.9%
36 10
 
3.9%
30 9
 
3.5%
24 8
 
3.1%
Other values (37) 124
48.8%
ValueCountFrequency (%)
0 1
 
0.4%
3 5
 
2.0%
4 4
 
1.6%
5 3
 
1.2%
7 1
 
0.4%
8 1
 
0.4%
15 1
 
0.4%
18 5
 
2.0%
20 27
10.6%
21 7
 
2.8%
ValueCountFrequency (%)
99 1
 
0.4%
89 1
 
0.4%
68 1
 
0.4%
67 1
 
0.4%
64 1
 
0.4%
53 1
 
0.4%
52 2
 
0.8%
51 2
 
0.8%
50 1
 
0.4%
49 5
2.0%

종사자 현원
Real number (ℝ)

HIGH CORRELATION 

Distinct55
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.614173
Minimum0
Maximum99
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T23:22:07.127582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.95
Q122
median29
Q336.75
95-th percentile51.35
Maximum99
Range99
Interquartile range (IQR)14.75

Descriptive statistics

Standard deviation13.825592
Coefficient of variation (CV)0.45160756
Kurtosis3.965595
Mean30.614173
Median Absolute Deviation (MAD)7
Skewness1.1406797
Sum7776
Variance191.14699
MonotonicityNot monotonic
2023-12-12T23:22:07.304275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 18
 
7.1%
29 16
 
6.3%
22 12
 
4.7%
26 12
 
4.7%
24 11
 
4.3%
28 10
 
3.9%
25 10
 
3.9%
23 9
 
3.5%
31 9
 
3.5%
21 8
 
3.1%
Other values (45) 139
54.7%
ValueCountFrequency (%)
0 1
 
0.4%
2 1
 
0.4%
3 4
1.6%
4 4
1.6%
5 3
1.2%
8 1
 
0.4%
11 1
 
0.4%
13 1
 
0.4%
14 1
 
0.4%
16 2
0.8%
ValueCountFrequency (%)
99 1
0.4%
89 1
0.4%
88 1
0.4%
68 1
0.4%
64 2
0.8%
63 1
0.4%
60 1
0.4%
54 2
0.8%
53 1
0.4%
52 2
0.8%

엑스(X)좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct246
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.55161
Minimum126.25866
Maximum130.90888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T23:22:07.509677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.25866
5-th percentile126.60037
Q1126.91313
median127.14635
Q3128.20882
95-th percentile129.11982
Maximum130.90888
Range4.6502188
Interquartile range (IQR)1.2956894

Descriptive statistics

Standard deviation0.87948754
Coefficient of variation (CV)0.0068951503
Kurtosis-0.14624845
Mean127.55161
Median Absolute Deviation (MAD)0.37636235
Skewness0.91557617
Sum32398.11
Variance0.77349834
MonotonicityNot monotonic
2023-12-12T23:22:07.691581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6789422 3
 
1.2%
128.5254597 3
 
1.2%
126.7462323 2
 
0.8%
126.9189173 2
 
0.8%
127.4630498 2
 
0.8%
128.941273 2
 
0.8%
126.8717616 1
 
0.4%
127.2547009 1
 
0.4%
127.1312024 1
 
0.4%
127.1641118 1
 
0.4%
Other values (236) 236
92.9%
ValueCountFrequency (%)
126.2586593 1
0.4%
126.3024503 1
0.4%
126.3879677 1
0.4%
126.4187903 1
0.4%
126.4256496 1
0.4%
126.4448608 1
0.4%
126.4660474 1
0.4%
126.4824915 1
0.4%
126.5251193 1
0.4%
126.5530069 1
0.4%
ValueCountFrequency (%)
130.9088781 1
0.4%
129.4142012 1
0.4%
129.4096634 1
0.4%
129.4084979 1
0.4%
129.3955595 1
0.4%
129.3675115 1
0.4%
129.3582078 1
0.4%
129.3219815 1
0.4%
129.3183478 1
0.4%
129.2184253 1
0.4%

와이(Y)좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct246
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.454108
Minimum33.286911
Maximum38.23599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T23:22:07.882994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.286911
5-th percentile34.800837
Q135.514547
median36.630473
Q337.492411
95-th percentile37.681256
Maximum38.23599
Range4.949079
Interquartile range (IQR)1.977864

Descriptive statistics

Standard deviation1.0923592
Coefficient of variation (CV)0.029965326
Kurtosis-0.64885122
Mean36.454108
Median Absolute Deviation (MAD)0.88560919
Skewness-0.52866718
Sum9259.3433
Variance1.1932486
MonotonicityNot monotonic
2023-12-12T23:22:08.070718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.25043527 3
 
1.2%
35.85354369 3
 
1.2%
35.71660358 2
 
0.8%
37.49538355 2
 
0.8%
36.60412039 2
 
0.8%
35.97114342 2
 
0.8%
35.80500901 1
 
0.4%
36.27431486 1
 
0.4%
36.83869059 1
 
0.4%
36.78053047 1
 
0.4%
Other values (236) 236
92.9%
ValueCountFrequency (%)
33.2869107 1
0.4%
33.45254919 1
0.4%
33.47100632 1
0.4%
33.48488857 1
0.4%
33.50141092 1
0.4%
34.31385256 1
0.4%
34.47157939 1
0.4%
34.56318263 1
0.4%
34.61355111 1
0.4%
34.63823468 1
0.4%
ValueCountFrequency (%)
38.23598966 1
0.4%
38.19762061 1
0.4%
37.90845502 1
0.4%
37.90742207 1
0.4%
37.88424423 1
0.4%
37.84575132 1
0.4%
37.83113084 1
0.4%
37.81975782 1
0.4%
37.80182091 1
0.4%
37.74379849 1
0.4%

Interactions

2023-12-12T23:22:00.227377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:58.428856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:58.916356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:59.325001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:59.737704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:22:00.307408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:58.531369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:59.021849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:59.413718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:59.829888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:22:00.435872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:58.641255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:59.099124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:59.495316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:59.918408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:22:00.519924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:58.739235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:59.175129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:59.573746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:22:00.028147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:22:00.603644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:58.835053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:59.248926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:59.651796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:22:00.131143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:22:08.189687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시도종사자정원종사자 현원엑스(X)좌표와이(Y)좌표
연번1.0000.9640.4410.4380.6370.743
시도0.9641.0000.5100.5100.8480.920
종사자정원0.4410.5101.0000.9800.2740.485
종사자 현원0.4380.5100.9801.0000.3380.532
엑스(X)좌표0.6370.8480.2740.3381.0000.523
와이(Y)좌표0.7430.9200.4850.5320.5231.000
2023-12-12T23:22:08.336855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종사자정원종사자 현원엑스(X)좌표와이(Y)좌표시도
연번1.000-0.469-0.4820.185-0.5430.824
종사자정원-0.4691.0000.946-0.3220.4730.227
종사자 현원-0.4820.9461.000-0.3350.4750.227
엑스(X)좌표0.185-0.322-0.3351.000-0.2460.558
와이(Y)좌표-0.5430.4730.475-0.2461.0000.685
시도0.8240.2270.2270.5580.6851.000

Missing values

2023-12-12T23:22:00.733648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:22:01.209658image/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

연번시도시군구시설유형법인현황시설명시설 주소전화번호팩스번호종사자정원종사자 현원엑스(X)좌표와이(Y)좌표
01서울강남구복지관하상복지재단강남장애인복지관서울시 강남구 개포로 60502-445-800602-445-70103131127.07347237.491983
12서울강남구복지관자애종합복지원성모자애복지관서울시 강남구 헌릉로 757길 3502-3411-958102-3411-95844848127.11943237.470582
23서울강남구복지관한국청각장애인복지회청음복지관서울시 강남구 봉은사로 50길 602-556-349302-555-42413737127.04236737.509378
34서울강남구복지관충현복지재단충현복지관서울시 강남구 논현로 98길 1602-2192-060002-2192-06964050127.03706737.503703
45서울강남구복지관하상복지재단하상장애인복지관서울시 강남구 개포로 61302-451-600002-459-43773636127.07512737.492554
56서울강동구복지관푸르메서울장애인복지관서울시 강동구 고덕로 201(고덕동)02-440-570002-440-57808989127.14854437.556206
67서울강동구복지관부산성베네딕도수녀회성분도복지관경기도 광주시 도척면 국사봉로 159-10031-799-0303031-762-72853031127.34905437.316034
78서울강동구복지관홀트아동복지회홀트강동복지관서울시 강동구 아리수로93길 4102-2251-610002-2251-61383029127.17326637.566221
89서울강동구복지관한국시각장애인복지재단한국시각장애인복지관서울시 강동구 구천면로 645(상일동)02-440-520002-440-52194141127.16924537.551109
910서울강북구복지관대한불교조계종사회복지재단강북장애인종합복지관서울시 강북구 오현로 18902-989-421402-989-42192828127.03907237.628757
연번시도시군구시설유형법인현황시설명시설 주소전화번호팩스번호종사자정원종사자 현원엑스(X)좌표와이(Y)좌표
244245경상남도남해군복지관남해복지재단남해장애인종합복지관남해군 이동면 남해대로 2364-9055-862-0012055-863-00562017127.93342934.816527
245246경상남도산청군복지관한일복지재단산엔청복지관산청군 산청읍 중앙로 67055-974-4001055-974-40032222127.88192535.414763
246247경상남도함양군복지관사회복지법인함양군복지회함양군장애인복지센터경남 함양군 함양읍 거면강변길 25055-963-8997055-963-896155127.7297835.50877
247248경상남도거창군복지관대한불교조계종사회복지재단거창군삶의쉼터장애인복지관경남 거창군 거창읍 거안로 1266-41055-949-0701055-945-22181820127.88858235.685149
248249경상남도합천군복지관천주교마산교구사회복지회합천군장애인복지센터경남 합천군 합천읍 남정길79 합천군종합사회복지관 별관 3층055-931-1992055-931-199344128.15691235.568412
249250제주도제주시복지관춘강제주특별자치도장애인종합복지관제주시 516로 3120064-702-0295064-702-02945151126.55300733.452549
250251제주도제주시복지관(사)제주특별자치도장애인총연합회탐라장애인종합복지관제주특별자치도 제주시 광양4길 32064-710-9990064-710-99993663126.52511933.501411
251252제주도서귀포시복지관사회복지법인춘강서귀포시장애인종합복지관서귀포시 인정오름로 24064-735-2600064-735-26013849126.58458933.286911
252253제주도제주시복지관사회복지법인삼다제주시각장애인복지관제주시 아봉로 433064-710-1200064-710-12402830126.58126233.471006
253254제주도제주시복지관농애원제주도농아복지관제주특별자치도 제주시 우령서로16길 19(외도일동)064-711-9094064-711-90972733126.4256533.484889