Overview

Dataset statistics

Number of variables12
Number of observations714
Missing cells51
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory67.8 KiB
Average record size in memory97.2 B

Variable types

Numeric1
Text6
DateTime3
Categorical2

Dataset

Description중증장애인 생산품 우선구매 특별법에 따라 중증장애인 생산품으로 지정된 시설 및 품목에 관한 데이터입니다.(시설명, 주소, 지정기간 등)
Author보건복지부
URLhttps://www.data.go.kr/data/3084473/fileData.do

Alerts

시설분류구분 is highly overall correlated with 행정처분이력High correlation
행정처분이력 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
번호 is highly overall correlated with 행정처분이력High correlation
행정처분이력 is highly imbalanced (81.6%)Imbalance
최초 지정일자 has 15 (2.1%) missing valuesMissing
유효시작일 has 16 (2.2%) missing valuesMissing
유효종료일 has 16 (2.2%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:09:55.296422
Analysis finished2023-12-12 13:09:56.801714
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct714
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean357.5
Minimum1
Maximum714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2023-12-12T22:09:56.874809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36.65
Q1179.25
median357.5
Q3535.75
95-th percentile678.35
Maximum714
Range713
Interquartile range (IQR)356.5

Descriptive statistics

Standard deviation206.25833
Coefficient of variation (CV)0.57694639
Kurtosis-1.2
Mean357.5
Median Absolute Deviation (MAD)178.5
Skewness0
Sum255255
Variance42542.5
MonotonicityStrictly increasing
2023-12-12T22:09:57.028640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
492 1
 
0.1%
472 1
 
0.1%
473 1
 
0.1%
474 1
 
0.1%
475 1
 
0.1%
476 1
 
0.1%
477 1
 
0.1%
478 1
 
0.1%
479 1
 
0.1%
Other values (704) 704
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
714 1
0.1%
713 1
0.1%
712 1
0.1%
711 1
0.1%
710 1
0.1%
709 1
0.1%
708 1
0.1%
707 1
0.1%
706 1
0.1%
705 1
0.1%

지정번호
Text

Distinct689
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T22:09:57.347504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.8333333
Min length1

Characters and Unicode

Total characters5593
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

Unique683 ?
Unique (%)95.7%

Sample

1st row2008-002
2nd row2008-003
3rd row2008-004
4th row2008-005
5th row2008-006
ValueCountFrequency (%)
0 17
 
2.4%
2012-034 5
 
0.7%
2016-038 3
 
0.4%
2011-013 2
 
0.3%
2009-042 2
 
0.3%
2012-039 2
 
0.3%
2017-061 1
 
0.1%
2017-057 1
 
0.1%
2018-004 1
 
0.1%
2018-003 1
 
0.1%
Other values (679) 679
95.1%
2023-12-12T22:09:57.866779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1797
32.1%
2 1022
18.3%
1 731
13.1%
- 697
 
12.5%
3 211
 
3.8%
8 206
 
3.7%
4 202
 
3.6%
6 201
 
3.6%
9 200
 
3.6%
5 169
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4896
87.5%
Dash Punctuation 697
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1797
36.7%
2 1022
20.9%
1 731
14.9%
3 211
 
4.3%
8 206
 
4.2%
4 202
 
4.1%
6 201
 
4.1%
9 200
 
4.1%
5 169
 
3.5%
7 157
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 697
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5593
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1797
32.1%
2 1022
18.3%
1 731
13.1%
- 697
 
12.5%
3 211
 
3.8%
8 206
 
3.7%
4 202
 
3.6%
6 201
 
3.6%
9 200
 
3.6%
5 169
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5593
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1797
32.1%
2 1022
18.3%
1 731
13.1%
- 697
 
12.5%
3 211
 
3.8%
8 206
 
3.7%
4 202
 
3.6%
6 201
 
3.6%
9 200
 
3.6%
5 169
 
3.0%

시설명
Text

Distinct699
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T22:09:58.105685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length11.710084
Min length3

Characters and Unicode

Total characters8361
Distinct characters422
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique689 ?
Unique (%)96.5%

Sample

1st row 가나안근로복지관
2nd row (사복)구세군장애인재활작업장
3rd row 엘림보호작업장
4th row 늘푸른직업재활원
5th row 일굼터
ValueCountFrequency (%)
장애인보호작업장 7
 
0.8%
사업단 7
 
0.8%
실로암장애인근로사업장 5
 
0.5%
사)한국참여자치장애인총연합회 5
 
0.5%
기전사업단 5
 
0.5%
보호작업장 5
 
0.5%
사)한국지체장애인협회 4
 
0.4%
인쇄사업단 4
 
0.4%
사)한국척수장애인협회 4
 
0.4%
직업재활시설 4
 
0.4%
Other values (795) 874
94.6%
2023-12-12T22:09:58.561247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
927
 
11.1%
장 553
 
6.6%
업 418
 
5.0%
인 348
 
4.2%
사 335
 
4.0%
애 311
 
3.7%
작 216
 
2.6%
보 210
 
2.5%
호 197
 
2.4%
) 185
 
2.2%
Other values (412) 4661
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7000
83.7%
Space Separator 927
 
11.1%
Close Punctuation 185
 
2.2%
Open Punctuation 172
 
2.1%
Uppercase Letter 53
 
0.6%
Lowercase Letter 11
 
0.1%
Decimal Number 7
 
0.1%
Other Punctuation 5
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 553
 
7.9%
업 418
 
6.0%
인 348
 
5.0%
사 335
 
4.8%
애 311
 
4.4%
작 216
 
3.1%
보 210
 
3.0%
호 197
 
2.8%
회 158
 
2.3%
터 120
 
1.7%
Other values (375) 4134
59.1%
Uppercase Letter
ValueCountFrequency (%)
C 7
13.2%
E 6
11.3%
N 5
9.4%
G 4
 
7.5%
W 4
 
7.5%
I 3
 
5.7%
S 3
 
5.7%
O 3
 
5.7%
R 3
 
5.7%
L 3
 
5.7%
Other values (9) 12
22.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
18.2%
n 2
18.2%
i 2
18.2%
p 2
18.2%
y 1
9.1%
s 1
9.1%
a 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 2
28.6%
8 1
 
14.3%
5 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 1
 
20.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
927
100.0%
Close Punctuation
ValueCountFrequency (%)
) 185
100.0%
Open Punctuation
ValueCountFrequency (%)
( 172
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7000
83.7%
Common 1297
 
15.5%
Latin 64
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 553
 
7.9%
업 418
 
6.0%
인 348
 
5.0%
사 335
 
4.8%
애 311
 
4.4%
작 216
 
3.1%
보 210
 
3.0%
호 197
 
2.8%
회 158
 
2.3%
터 120
 
1.7%
Other values (375) 4134
59.1%
Latin
ValueCountFrequency (%)
C 7
 
10.9%
E 6
 
9.4%
N 5
 
7.8%
G 4
 
6.2%
W 4
 
6.2%
I 3
 
4.7%
S 3
 
4.7%
O 3
 
4.7%
R 3
 
4.7%
L 3
 
4.7%
Other values (16) 23
35.9%
Common
ValueCountFrequency (%)
927
71.5%
) 185
 
14.3%
( 172
 
13.3%
1 3
 
0.2%
. 3
 
0.2%
2 2
 
0.2%
& 1
 
0.1%
- 1
 
0.1%
8 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7000
83.7%
ASCII 1361
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
927
68.1%
) 185
 
13.6%
( 172
 
12.6%
C 7
 
0.5%
E 6
 
0.4%
N 5
 
0.4%
G 4
 
0.3%
W 4
 
0.3%
I 3
 
0.2%
1 3
 
0.2%
Other values (27) 45
 
3.3%
Hangul
ValueCountFrequency (%)
장 553
 
7.9%
업 418
 
6.0%
인 348
 
5.0%
사 335
 
4.8%
애 311
 
4.4%
작 216
 
3.1%
보 210
 
3.0%
호 197
 
2.8%
회 158
 
2.3%
터 120
 
1.7%
Other values (375) 4134
59.1%

주소
Text

Distinct710
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T22:09:58.899034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length192
Median length71
Mean length27.927171
Min length15

Characters and Unicode

Total characters19940
Distinct characters428
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique706 ?
Unique (%)98.9%

Sample

1st row 경기도 성남시 분당구 야탑로 225 (야탑동, 가나안복지재단)
2nd row 경기도 수원시 권선구 새터로37번길 7-9
3rd row 경기도 수원시 영통구 신원로 88, 101동 706호, 707호, 711호, 712호 (디지털엠파이어2)
4th row 경기 고양시 덕양구 고골길 100-15 (관산동)
5th row 경기도 파주시 법원읍 술이홀로 1333번길 69 (금곡리428-1)
ValueCountFrequency (%)
경기도 150
 
3.7%
서울특별시 109
 
2.7%
경상남도 46
 
1.1%
대구광역시 38
 
0.9%
부산광역시 35
 
0.9%
경상북도 35
 
0.9%
인천광역시 31
 
0.8%
충청북도 30
 
0.7%
경기 30
 
0.7%
1층 30
 
0.7%
Other values (2059) 3540
86.9%
2023-12-12T22:09:59.441181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4107
 
20.6%
1 788
 
4.0%
시 675
 
3.4%
로 610
 
3.1%
2 543
 
2.7%
구 491
 
2.5%
도 411
 
2.1%
3 384
 
1.9%
길 379
 
1.9%
0 345
 
1.7%
Other values (418) 11207
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11260
56.5%
Space Separator 4107
 
20.6%
Decimal Number 3487
 
17.5%
Other Punctuation 345
 
1.7%
Dash Punctuation 224
 
1.1%
Open Punctuation 212
 
1.1%
Close Punctuation 211
 
1.1%
Uppercase Letter 84
 
0.4%
Math Symbol 7
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 675
 
6.0%
로 610
 
5.4%
구 491
 
4.4%
도 411
 
3.7%
길 379
 
3.4%
동 299
 
2.7%
경 292
 
2.6%
산 257
 
2.3%
광 250
 
2.2%
서 245
 
2.2%
Other values (380) 7351
65.3%
Uppercase Letter
ValueCountFrequency (%)
B 39
46.4%
A 11
 
13.1%
I 6
 
7.1%
C 4
 
4.8%
T 4
 
4.8%
S 4
 
4.8%
K 4
 
4.8%
H 2
 
2.4%
Y 2
 
2.4%
G 2
 
2.4%
Other values (5) 6
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 788
22.6%
2 543
15.6%
3 384
11.0%
0 345
9.9%
5 302
 
8.7%
4 281
 
8.1%
6 247
 
7.1%
7 226
 
6.5%
8 194
 
5.6%
9 177
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 304
88.1%
· 36
 
10.4%
. 3
 
0.9%
& 1
 
0.3%
: 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
d 1
33.3%
b 1
33.3%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
4107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 224
100.0%
Open Punctuation
ValueCountFrequency (%)
( 212
100.0%
Close Punctuation
ValueCountFrequency (%)
) 211
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11260
56.5%
Common 8593
43.1%
Latin 87
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 675
 
6.0%
로 610
 
5.4%
구 491
 
4.4%
도 411
 
3.7%
길 379
 
3.4%
동 299
 
2.7%
경 292
 
2.6%
산 257
 
2.3%
광 250
 
2.2%
서 245
 
2.2%
Other values (380) 7351
65.3%
Common
ValueCountFrequency (%)
4107
47.8%
1 788
 
9.2%
2 543
 
6.3%
3 384
 
4.5%
0 345
 
4.0%
, 304
 
3.5%
5 302
 
3.5%
4 281
 
3.3%
6 247
 
2.9%
7 226
 
2.6%
Other values (10) 1066
 
12.4%
Latin
ValueCountFrequency (%)
B 39
44.8%
A 11
 
12.6%
I 6
 
6.9%
C 4
 
4.6%
T 4
 
4.6%
S 4
 
4.6%
K 4
 
4.6%
H 2
 
2.3%
Y 2
 
2.3%
G 2
 
2.3%
Other values (8) 9
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11260
56.5%
ASCII 8644
43.4%
None 36
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4107
47.5%
1 788
 
9.1%
2 543
 
6.3%
3 384
 
4.4%
0 345
 
4.0%
, 304
 
3.5%
5 302
 
3.5%
4 281
 
3.3%
6 247
 
2.9%
7 226
 
2.6%
Other values (27) 1117
 
12.9%
Hangul
ValueCountFrequency (%)
시 675
 
6.0%
로 610
 
5.4%
구 491
 
4.4%
도 411
 
3.7%
길 379
 
3.4%
동 299
 
2.7%
경 292
 
2.6%
산 257
 
2.3%
광 250
 
2.2%
서 245
 
2.2%
Other values (380) 7351
65.3%
None
ValueCountFrequency (%)
· 36
100.0%

전화번호
Text

Distinct701
Distinct (%)98.7%
Missing4
Missing (%)0.6%
Memory size5.7 KiB
2023-12-12T22:09:59.735131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.964789
Min length9

Characters and Unicode

Total characters8495
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

Unique694 ?
Unique (%)97.7%

Sample

1st row1577-7821
2nd row031-258-4580
3rd row031-695-6530
4th row031-912-4988
5th row031-959-7015
ValueCountFrequency (%)
02-880-0590 3
 
0.4%
043-851-1890 3
 
0.4%
064-796-5777 2
 
0.3%
043-731-8400 2
 
0.3%
051-531-2344 2
 
0.3%
055-271-1871 2
 
0.3%
031-278-5662 2
 
0.3%
063-214-7890 1
 
0.1%
1577-7821 1
 
0.1%
053-983-8051 1
 
0.1%
Other values (691) 691
97.3%
2023-12-12T22:10:00.256016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1419
16.7%
0 1257
14.8%
3 876
10.3%
2 786
9.3%
5 739
8.7%
1 695
8.2%
4 654
7.7%
6 573
6.7%
7 567
 
6.7%
8 508
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7076
83.3%
Dash Punctuation 1419
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1257
17.8%
3 876
12.4%
2 786
11.1%
5 739
10.4%
1 695
9.8%
4 654
9.2%
6 573
8.1%
7 567
8.0%
8 508
7.2%
9 421
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 1419
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8495
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1419
16.7%
0 1257
14.8%
3 876
10.3%
2 786
9.3%
5 739
8.7%
1 695
8.2%
4 654
7.7%
6 573
6.7%
7 567
 
6.7%
8 508
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8495
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1419
16.7%
0 1257
14.8%
3 876
10.3%
2 786
9.3%
5 739
8.7%
1 695
8.2%
4 654
7.7%
6 573
6.7%
7 567
 
6.7%
8 508
 
6.0%

팩스번호
Text

Distinct703
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T22:10:00.564619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.973389
Min length11

Characters and Unicode

Total characters8549
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

Unique695 ?
Unique (%)97.3%

Sample

1st row031-707-0548
2nd row031-223-3525
3rd row031-695-6531
4th row031-963-4872
5th row031-624-5014
ValueCountFrequency (%)
02-887-1120 4
 
0.6%
043-855-1892 3
 
0.4%
051-893-0062 2
 
0.3%
051-521-8814 2
 
0.3%
064-796-6011 2
 
0.3%
031-278-5664 2
 
0.3%
043-731-8432 2
 
0.3%
055-271-1873 2
 
0.3%
043-275-7723 1
 
0.1%
053-651-4810 1
 
0.1%
Other values (693) 693
97.1%
2023-12-12T22:10:01.064488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1428
16.7%
0 1183
13.8%
3 917
10.7%
2 813
9.5%
5 729
8.5%
1 667
7.8%
4 657
7.7%
6 618
7.2%
8 543
 
6.4%
7 513
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7121
83.3%
Dash Punctuation 1428
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1183
16.6%
3 917
12.9%
2 813
11.4%
5 729
10.2%
1 667
9.4%
4 657
9.2%
6 618
8.7%
8 543
7.6%
7 513
7.2%
9 481
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 1428
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8549
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1428
16.7%
0 1183
13.8%
3 917
10.7%
2 813
9.5%
5 729
8.5%
1 667
7.8%
4 657
7.7%
6 618
7.2%
8 543
 
6.4%
7 513
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8549
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1428
16.7%
0 1183
13.8%
3 917
10.7%
2 813
9.5%
5 729
8.5%
1 667
7.8%
4 657
7.7%
6 618
7.2%
8 543
 
6.4%
7 513
 
6.0%

지정품목
Text

Distinct359
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T22:10:01.327213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length9.6932773
Min length1

Characters and Unicode

Total characters6921
Distinct characters304
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique282 ?
Unique (%)39.5%

Sample

1st row 쇼핑백, 재생토너카트리지, 판촉물인쇄
2nd row 화장지류
3rd row 인쇄물, 장갑류, 행정봉투
4th row 감열지, 사무용지류, 재생토너카트리지
5th row 가구류
ValueCountFrequency (%)
인쇄물 98
 
8.0%
판촉물인쇄 70
 
5.7%
소독방역 63
 
5.2%
제과제빵 53
 
4.3%
현수막 46
 
3.8%
사무용지류 43
 
3.5%
청소 42
 
3.4%
조명기구 38
 
3.1%
화장지류 36
 
2.9%
배전반·제어장치 34
 
2.8%
Other values (194) 700
57.2%
2023-12-12T22:10:01.727859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1240
 
17.9%
, 526
 
7.6%
류 302
 
4.4%
물 198
 
2.9%
인 178
 
2.6%
쇄 173
 
2.5%
제 164
 
2.4%
장 138
 
2.0%
소 128
 
1.8%
지 122
 
1.8%
Other values (294) 3752
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4816
69.6%
Space Separator 1240
 
17.9%
Other Punctuation 564
 
8.1%
Uppercase Letter 205
 
3.0%
Open Punctuation 48
 
0.7%
Close Punctuation 48
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 302
 
6.3%
물 198
 
4.1%
인 178
 
3.7%
쇄 173
 
3.6%
제 164
 
3.4%
장 138
 
2.9%
소 128
 
2.7%
지 122
 
2.5%
판 94
 
2.0%
기 83
 
1.7%
Other values (277) 3236
67.2%
Uppercase Letter
ValueCountFrequency (%)
C 64
31.2%
V 32
15.6%
T 32
15.6%
P 24
 
11.7%
E 22
 
10.7%
M 15
 
7.3%
D 13
 
6.3%
U 1
 
0.5%
S 1
 
0.5%
B 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 526
93.3%
· 38
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 46
95.8%
[ 2
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 46
95.8%
] 2
 
4.2%
Space Separator
ValueCountFrequency (%)
1240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4816
69.6%
Common 1900
 
27.5%
Latin 205
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 302
 
6.3%
물 198
 
4.1%
인 178
 
3.7%
쇄 173
 
3.6%
제 164
 
3.4%
장 138
 
2.9%
소 128
 
2.7%
지 122
 
2.5%
판 94
 
2.0%
기 83
 
1.7%
Other values (277) 3236
67.2%
Latin
ValueCountFrequency (%)
C 64
31.2%
V 32
15.6%
T 32
15.6%
P 24
 
11.7%
E 22
 
10.7%
M 15
 
7.3%
D 13
 
6.3%
U 1
 
0.5%
S 1
 
0.5%
B 1
 
0.5%
Common
ValueCountFrequency (%)
1240
65.3%
, 526
27.7%
( 46
 
2.4%
) 46
 
2.4%
· 38
 
2.0%
] 2
 
0.1%
[ 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4816
69.6%
ASCII 2067
29.9%
None 38
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1240
60.0%
, 526
25.4%
C 64
 
3.1%
( 46
 
2.2%
) 46
 
2.2%
V 32
 
1.5%
T 32
 
1.5%
P 24
 
1.2%
E 22
 
1.1%
M 15
 
0.7%
Other values (6) 20
 
1.0%
Hangul
ValueCountFrequency (%)
류 302
 
6.3%
물 198
 
4.1%
인 178
 
3.7%
쇄 173
 
3.6%
제 164
 
3.4%
장 138
 
2.9%
소 128
 
2.7%
지 122
 
2.5%
판 94
 
2.0%
기 83
 
1.7%
Other values (277) 3236
67.2%
None
ValueCountFrequency (%)
· 38
100.0%

최초 지정일자
Date

MISSING 

Distinct121
Distinct (%)17.3%
Missing15
Missing (%)2.1%
Memory size5.7 KiB
Minimum2008-12-31 00:00:00
Maximum2021-05-24 00:00:00
2023-12-12T22:10:01.865023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:10:01.996654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효시작일
Date

MISSING 

Distinct63
Distinct (%)9.0%
Missing16
Missing (%)2.2%
Memory size5.7 KiB
Minimum2016-01-06 00:00:00
Maximum2021-06-25 00:00:00
2023-12-12T22:10:02.131350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:10:02.246020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효종료일
Date

MISSING 

Distinct63
Distinct (%)9.0%
Missing16
Missing (%)2.2%
Memory size5.7 KiB
Minimum2019-12-12 00:00:00
Maximum2024-06-24 00:00:00
2023-12-12T22:10:02.398637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:10:02.546794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시설분류구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
장애인보호작업장
452 
장애인복지단체
175 
장애인근로사업장
64 
장애인생산품판매시설
 
17
정신질환자직업재활시설
 
6

Length

Max length11
Median length8
Mean length7.8277311
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장애인근로사업장
2nd row장애인보호작업장
3rd row장애인보호작업장
4th row장애인보호작업장
5th row장애인근로사업장

Common Values

ValueCountFrequency (%)
장애인보호작업장 452
63.3%
장애인복지단체 175
 
24.5%
장애인근로사업장 64
 
9.0%
장애인생산품판매시설 17
 
2.4%
정신질환자직업재활시설 6
 
0.8%

Length

2023-12-12T22:10:02.689643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:10:02.791980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인보호작업장 452
63.3%
장애인복지단체 175
 
24.5%
장애인근로사업장 64
 
9.0%
장애인생산품판매시설 17
 
2.4%
정신질환자직업재활시설 6
 
0.8%

행정처분이력
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
694 
개선명령
 
20

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 694
97.2%
개선명령 20
 
2.8%

Length

2023-12-12T22:10:02.890990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:10:02.972018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 694
97.2%
개선명령 20
 
2.8%

Interactions

2023-12-12T22:09:56.290552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:10:03.022198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호유효시작일유효종료일시설분류구분
번호1.0000.9480.9480.599
유효시작일0.9481.0001.0000.804
유효종료일0.9481.0001.0000.804
시설분류구분0.5990.8040.8041.000
2023-12-12T22:10:03.102840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설분류구분행정처분이력
시설분류구분1.0001.000
행정처분이력1.0001.000
2023-12-12T22:10:03.172103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시설분류구분행정처분이력
번호1.0000.2891.000
시설분류구분0.2891.0001.000
행정처분이력1.0001.0001.000

Missing values

2023-12-12T22:09:56.429889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:09:56.606985image/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.
2023-12-12T22:09:56.734846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호지정번호시설명주소전화번호팩스번호지정품목최초 지정일자유효시작일유효종료일시설분류구분행정처분이력
012008-002가나안근로복지관경기도 성남시 분당구 야탑로 225 (야탑동, 가나안복지재단)1577-7821031-707-0548쇼핑백, 재생토너카트리지, 판촉물인쇄2008-12-312020-11-212023-11-20장애인근로사업장<NA>
122008-003(사복)구세군장애인재활작업장경기도 수원시 권선구 새터로37번길 7-9031-258-4580031-223-3525화장지류2008-12-312020-11-212023-11-20장애인보호작업장<NA>
232008-004엘림보호작업장경기도 수원시 영통구 신원로 88, 101동 706호, 707호, 711호, 712호 (디지털엠파이어2)031-695-6530031-695-6531인쇄물, 장갑류, 행정봉투2008-12-312020-11-212023-11-20장애인보호작업장<NA>
342008-005늘푸른직업재활원경기 고양시 덕양구 고골길 100-15 (관산동)031-912-4988031-963-4872감열지, 사무용지류, 재생토너카트리지2008-12-312020-11-212023-11-20장애인보호작업장<NA>
452008-006일굼터경기도 파주시 법원읍 술이홀로 1333번길 69 (금곡리428-1)031-959-7015031-624-5014가구류2008-12-312020-11-212023-11-20장애인근로사업장<NA>
562008-007(사복)한국청각장애인복지회 청음공방경기도 포천시 내촌면 부마로 282번길 99031-532-2164031-533-6613CCTV, 가구류, 배전반·제어장치2008-12-312020-11-212023-11-20장애인근로사업장<NA>
672008-008(사복)에덴복지재단 에덴하우스경기도 파주시 소라지로195번길 47-30031-946-7030031-946-7035PE봉투(비닐봉투류), 인쇄물, 판촉물인쇄2008-12-312020-11-212023-11-20장애인근로사업장<NA>
782008-009남부장애인보호작업장울산광역시 울주군 온양읍 온양로 256-6052-238-6102052-238-6109장갑류, 폐현수막마대2008-12-312021-01-012023-12-31장애인보호작업장<NA>
892008-010씨튼장애인직업재활센터광주 북구 앰코로 123 (오룡동)062-973-1151062-971-0064제과제빵2008-12-312020-11-212023-11-20장애인근로사업장<NA>
9102008-011엠마우스산업광주광역시 광산구 용아로 808 (안청동)062-951-6920062-952-6920초, 화장지류2008-12-312020-11-212023-11-20장애인근로사업장<NA>
번호지정번호시설명주소전화번호팩스번호지정품목최초 지정일자유효시작일유효종료일시설분류구분행정처분이력
7047050세종장애인생산품판매시설세종특별자치시 조치원읍 새내14길 65-3044-864-2081044-864-20822014-12-02<NA><NA>장애인생산품판매시설<NA>
7057060경기장애인생산품판매시설경기도 수원시 권선구 서수원로 130, B03031-268-9844031-462-98442016-12-132016-12-132019-12-12장애인생산품판매시설<NA>
7067070강원장애인생산품판매시설강원도 춘천시 동내면 순환대로 991033-262-4264033-262-4265<NA><NA><NA>장애인생산품판매시설<NA>
7077080충북장애인생산품판매시설충청북도 청주시 흥덕구 공단로 87 충북종합사회복지센터 1층043-238-4577043-234-4577<NA><NA><NA>장애인생산품판매시설<NA>
7087090충남장애인생산품판매시설충청남도 공주시 봉황로 138041-881-7781041-881-7783<NA><NA><NA>장애인생산품판매시설<NA>
7097100전북장애인생산품판매시설전라북도 익산시 익산대로27길 132063-856-2646063-857-2646<NA><NA><NA>장애인생산품판매시설<NA>
7107110전남장애인생산품판매시설전라남도 목포시 백년대로 266번길 11061-278-2461061-278-2463<NA><NA><NA>장애인생산품판매시설<NA>
7117120경북장애인생산품판매시설경상북도 안동시 광명로 43054-857-8890054-857-8892<NA><NA><NA>장애인생산품판매시설<NA>
7127130경남장애인생산품판매시설경상남도 창원시 마산회원구 내서읍 용담리 193번지055-274-0888055-274-0890<NA><NA><NA>장애인생산품판매시설<NA>
7137140제주장애인생산품판매시설제주특별자치도 제주시 임항로 294064-702-1459064-702-1458<NA><NA><NA>장애인생산품판매시설<NA>