Overview

Dataset statistics

Number of variables7
Number of observations186
Missing cells6
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory57.7 B

Variable types

Numeric1
Categorical1
Text5

Dataset

Description충청북도 장애인시설 현황(직업재활시설, 장애인생산품판매시설, 장애인복지관, 주간보호센터, 생활이동지원센터, 수어통역센터, 체육관, 점자도서관, 재활의원, 장애인거주시설, 장애인단기거주시설, 장애인공동생활가정)의 명칭, 시설장(관장), 소재지, 전화번호, 비고 정보 제공
URLhttps://www.data.go.kr/data/15026483/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
전화번호 has 6 (3.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:12:58.332967
Analysis finished2023-12-12 09:12:59.182608
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.5
Minimum1
Maximum186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T18:12:59.265470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.25
Q147.25
median93.5
Q3139.75
95-th percentile176.75
Maximum186
Range185
Interquartile range (IQR)92.5

Descriptive statistics

Standard deviation53.837719
Coefficient of variation (CV)0.57580448
Kurtosis-1.2
Mean93.5
Median Absolute Deviation (MAD)46.5
Skewness0
Sum17391
Variance2898.5
MonotonicityStrictly increasing
2023-12-12T18:12:59.745133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
129 1
 
0.5%
120 1
 
0.5%
121 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
Other values (176) 176
94.6%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%
177 1
0.5%

구분
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
장애인공동생활가정
48 
장애인거주시설
38 
직업재활시설
28 
주간보호센터
26 
장애인복지관
12 
Other values (8)
34 

Length

Max length10
Median length9
Mean length7.1935484
Min length3

Unique

Unique5 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
장애인공동생활가정 48
25.8%
장애인거주시설 38
20.4%
직업재활시설 28
15.1%
주간보호센터 26
14.0%
장애인복지관 12
 
6.5%
수어통역센터 12
 
6.5%
생활이동지원센터 11
 
5.9%
장애인단기거주시설 6
 
3.2%
장애인생산품판매시설 1
 
0.5%
체육관 1
 
0.5%
Other values (3) 3
 
1.6%

Length

2023-12-12T18:12:59.914604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
장애인공동생활가정 48
25.7%
장애인거주시설 38
20.3%
직업재활시설 28
15.0%
주간보호센터 26
13.9%
장애인복지관 12
 
6.4%
수어통역센터 12
 
6.4%
생활이동지원센터 11
 
5.9%
장애인단기거주시설 6
 
3.2%
장애인생산품판매시설 1
 
0.5%
체육관 1
 
0.5%
Other values (4) 4
 
2.1%

명칭
Text

Distinct184
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T18:13:00.204406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length7.3655914
Min length1

Characters and Unicode

Total characters1370
Distinct characters226
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)97.8%

Sample

1st row보람근로원
2nd row프란치스코의집
3rd row충북재활원
4th row이룸의터
5th row충북광화원제안원
ValueCountFrequency (%)
집 4
 
2.0%
사랑의집 2
 
1.0%
꽃동네장애인공동생활가정 2
 
1.0%
에바다공동체 2
 
1.0%
베데스다의집 2
 
1.0%
성제노의집 1
 
0.5%
제천시장애인단기보호센터 1
 
0.5%
보람근로원 1
 
0.5%
사람터 1
 
0.5%
꽃동네심신장애인요양원 1
 
0.5%
Other values (179) 179
91.3%
2023-12-12T18:13:00.651500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 62
 
4.5%
장 56
 
4.1%
센 53
 
3.9%
애 50
 
3.6%
인 50
 
3.6%
의 42
 
3.1%
주 38
 
2.8%
보 37
 
2.7%
집 37
 
2.7%
지 36
 
2.6%
Other values (216) 909
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1344
98.1%
Space Separator 13
 
0.9%
Uppercase Letter 8
 
0.6%
Decimal Number 4
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 62
 
4.6%
장 56
 
4.2%
센 53
 
3.9%
애 50
 
3.7%
인 50
 
3.7%
의 42
 
3.1%
주 38
 
2.8%
보 37
 
2.8%
집 37
 
2.8%
지 36
 
2.7%
Other values (202) 883
65.7%
Uppercase Letter
ValueCountFrequency (%)
W 1
12.5%
E 1
12.5%
L 1
12.5%
C 1
12.5%
O 1
12.5%
Z 1
12.5%
A 1
12.5%
N 1
12.5%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
6 1
25.0%
3 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1344
98.1%
Common 18
 
1.3%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 62
 
4.6%
장 56
 
4.2%
센 53
 
3.9%
애 50
 
3.7%
인 50
 
3.7%
의 42
 
3.1%
주 38
 
2.8%
보 37
 
2.8%
집 37
 
2.8%
지 36
 
2.7%
Other values (202) 883
65.7%
Latin
ValueCountFrequency (%)
W 1
12.5%
E 1
12.5%
L 1
12.5%
C 1
12.5%
O 1
12.5%
Z 1
12.5%
A 1
12.5%
N 1
12.5%
Common
ValueCountFrequency (%)
13
72.2%
5 1
 
5.6%
6 1
 
5.6%
3 1
 
5.6%
2 1
 
5.6%
& 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1344
98.1%
ASCII 26
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 62
 
4.6%
장 56
 
4.2%
센 53
 
3.9%
애 50
 
3.7%
인 50
 
3.7%
의 42
 
3.1%
주 38
 
2.8%
보 37
 
2.8%
집 37
 
2.8%
지 36
 
2.7%
Other values (202) 883
65.7%
ASCII
ValueCountFrequency (%)
13
50.0%
5 1
 
3.8%
6 1
 
3.8%
3 1
 
3.8%
2 1
 
3.8%
& 1
 
3.8%
W 1
 
3.8%
E 1
 
3.8%
L 1
 
3.8%
C 1
 
3.8%
Other values (4) 4
 
15.4%

시설장(관장)
Text

Distinct146
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T18:13:01.128076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0053763
Min length3

Characters and Unicode

Total characters559
Distinct characters116
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

Unique122 ?
Unique (%)65.6%

Sample

1st row이원기
2nd row박정희
3rd row박종분
4th row변종권
5th row이기동
ValueCountFrequency (%)
배선희 6
 
3.2%
윤희숙 5
 
2.7%
이응부 5
 
2.7%
최경옥 4
 
2.2%
오현숙 4
 
2.2%
김영만 3
 
1.6%
이용호 3
 
1.6%
채선희 2
 
1.1%
차영동 2
 
1.1%
정찬연 2
 
1.1%
Other values (136) 150
80.6%
2023-12-12T18:13:01.763855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 38
 
6.8%
김 32
 
5.7%
희 24
 
4.3%
박 17
 
3.0%
정 16
 
2.9%
숙 16
 
2.9%
선 14
 
2.5%
영 14
 
2.5%
재 13
 
2.3%
경 13
 
2.3%
Other values (106) 362
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 557
99.6%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 38
 
6.8%
김 32
 
5.7%
희 24
 
4.3%
박 17
 
3.1%
정 16
 
2.9%
숙 16
 
2.9%
선 14
 
2.5%
영 14
 
2.5%
재 13
 
2.3%
경 13
 
2.3%
Other values (104) 360
64.6%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 557
99.6%
Common 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 38
 
6.8%
김 32
 
5.7%
희 24
 
4.3%
박 17
 
3.1%
정 16
 
2.9%
숙 16
 
2.9%
선 14
 
2.5%
영 14
 
2.5%
재 13
 
2.3%
경 13
 
2.3%
Other values (104) 360
64.6%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 557
99.6%
ASCII 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 38
 
6.8%
김 32
 
5.7%
희 24
 
4.3%
박 17
 
3.1%
정 16
 
2.9%
숙 16
 
2.9%
선 14
 
2.5%
영 14
 
2.5%
재 13
 
2.3%
경 13
 
2.3%
Other values (104) 360
64.6%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

소재지
Text

Distinct164
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T18:13:02.171240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length25.010753
Min length11

Characters and Unicode

Total characters4652
Distinct characters203
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)77.4%

Sample

1st row충청북도 청주시 청원구 북이면 충청대로 1205
2nd row충청북도 청주시 서원구 남지로21번길 60
3rd row충청북도 청주시 흥덕구 1순환로438번길 39-17
4th row충청북도 청주시 상당구 미원면 대신1길 49-51
5th row충청북도 청주시 상당구 산성로25번길 30
ValueCountFrequency (%)
충청북도 184
 
18.7%
청주시 78
 
7.9%
상당구 26
 
2.6%
서원구 24
 
2.4%
충주시 23
 
2.3%
제천시 21
 
2.1%
흥덕구 18
 
1.8%
영동군 14
 
1.4%
청원구 10
 
1.0%
진천군 10
 
1.0%
Other values (379) 578
58.6%
2023-12-12T18:13:02.758787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
808
 
17.4%
청 279
 
6.0%
충 214
 
4.6%
북 194
 
4.2%
도 194
 
4.2%
1 178
 
3.8%
로 143
 
3.1%
시 126
 
2.7%
주 111
 
2.4%
2 110
 
2.4%
Other values (193) 2295
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2809
60.4%
Decimal Number 827
 
17.8%
Space Separator 808
 
17.4%
Dash Punctuation 71
 
1.5%
Open Punctuation 47
 
1.0%
Close Punctuation 47
 
1.0%
Other Punctuation 39
 
0.8%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 279
 
9.9%
충 214
 
7.6%
북 194
 
6.9%
도 194
 
6.9%
로 143
 
5.1%
시 126
 
4.5%
주 111
 
4.0%
길 103
 
3.7%
동 88
 
3.1%
구 80
 
2.8%
Other values (176) 1277
45.5%
Decimal Number
ValueCountFrequency (%)
1 178
21.5%
2 110
13.3%
3 88
10.6%
0 85
10.3%
4 85
10.3%
6 66
 
8.0%
5 65
 
7.9%
8 57
 
6.9%
9 54
 
6.5%
7 39
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 37
94.9%
@ 2
 
5.1%
Space Separator
ValueCountFrequency (%)
808
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2809
60.4%
Common 1839
39.5%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 279
 
9.9%
충 214
 
7.6%
북 194
 
6.9%
도 194
 
6.9%
로 143
 
5.1%
시 126
 
4.5%
주 111
 
4.0%
길 103
 
3.7%
동 88
 
3.1%
구 80
 
2.8%
Other values (176) 1277
45.5%
Common
ValueCountFrequency (%)
808
43.9%
1 178
 
9.7%
2 110
 
6.0%
3 88
 
4.8%
0 85
 
4.6%
4 85
 
4.6%
- 71
 
3.9%
6 66
 
3.6%
5 65
 
3.5%
8 57
 
3.1%
Other values (6) 226
 
12.3%
Latin
ValueCountFrequency (%)
A 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2809
60.4%
ASCII 1843
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
808
43.8%
1 178
 
9.7%
2 110
 
6.0%
3 88
 
4.8%
0 85
 
4.6%
4 85
 
4.6%
- 71
 
3.9%
6 66
 
3.6%
5 65
 
3.5%
8 57
 
3.1%
Other values (7) 230
 
12.5%
Hangul
ValueCountFrequency (%)
청 279
 
9.9%
충 214
 
7.6%
북 194
 
6.9%
도 194
 
6.9%
로 143
 
5.1%
시 126
 
4.5%
주 111
 
4.0%
길 103
 
3.7%
동 88
 
3.1%
구 80
 
2.8%
Other values (176) 1277
45.5%

전화번호
Text

MISSING 

Distinct166
Distinct (%)92.2%
Missing6
Missing (%)3.2%
Memory size1.6 KiB
2023-12-12T18:13:03.044953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.116667
Min length12

Characters and Unicode

Total characters2181
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

Unique155 ?
Unique (%)86.1%

Sample

1st row043-214-2271
2nd row043-295-2515
3rd row043-265-7415
4th row043-294-7416
5th row043-253-7598
ValueCountFrequency (%)
043-295-2505 4
 
2.2%
043-744-4865 3
 
1.7%
043-883-2900 2
 
1.1%
043-832-0862 2
 
1.1%
043-284-9004 2
 
1.1%
043-423-2828 2
 
1.1%
043-855-9405 2
 
1.1%
070-4215-3196 2
 
1.1%
043-832-9960 2
 
1.1%
043-744-1513 2
 
1.1%
Other values (156) 157
87.2%
2023-12-12T18:13:03.489756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 360
16.5%
4 323
14.8%
0 310
14.2%
3 298
13.7%
2 171
7.8%
5 156
7.2%
7 137
 
6.3%
8 129
 
5.9%
1 103
 
4.7%
6 94
 
4.3%
Other values (2) 100
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1811
83.0%
Dash Punctuation 360
 
16.5%
Space Separator 10
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 323
17.8%
0 310
17.1%
3 298
16.5%
2 171
9.4%
5 156
8.6%
7 137
7.6%
8 129
 
7.1%
1 103
 
5.7%
6 94
 
5.2%
9 90
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 360
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2181
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 360
16.5%
4 323
14.8%
0 310
14.2%
3 298
13.7%
2 171
7.8%
5 156
7.2%
7 137
 
6.3%
8 129
 
5.9%
1 103
 
4.7%
6 94
 
4.3%
Other values (2) 100
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2181
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 360
16.5%
4 323
14.8%
0 310
14.2%
3 298
13.7%
2 171
7.8%
5 156
7.2%
7 137
 
6.3%
8 129
 
5.9%
1 103
 
4.7%
6 94
 
4.3%
Other values (2) 100
 
4.6%

비고(주생산용품-운영주체)
Text

Distinct123
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T18:13:03.731827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length11.102151
Min length2

Characters and Unicode

Total characters2065
Distinct characters185
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)49.5%

Sample

1st row복사용지,인쇄물
2nd row화장지,면장갑
3rd row제과,제빵
4th row물티슈
5th row학습교구 임가공,소독
ValueCountFrequency (%)
사복 37
 
13.0%
사단)한국농아인협회 12
 
4.2%
충북도협회 12
 
4.2%
사단)충북시각장애인복지연합회 12
 
4.2%
재단)청주교구천주교회유지재단 9
 
3.2%
재단 9
 
3.2%
사단 8
 
2.8%
천주교청주교구사회복지회 7
 
2.5%
아름마을 6
 
2.1%
청주교구천주교회유지재단 6
 
2.1%
Other values (110) 166
58.5%
2023-12-12T18:13:04.170642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 139
 
6.7%
사 102
 
4.9%
지 101
 
4.9%
단 100
 
4.8%
) 99
 
4.8%
99
 
4.8%
복 83
 
4.0%
( 69
 
3.3%
인 63
 
3.1%
재 59
 
2.9%
Other values (175) 1151
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1785
86.4%
Close Punctuation 99
 
4.8%
Space Separator 99
 
4.8%
Open Punctuation 69
 
3.3%
Other Punctuation 13
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 139
 
7.8%
사 102
 
5.7%
지 101
 
5.7%
단 100
 
5.6%
복 83
 
4.6%
인 63
 
3.5%
재 59
 
3.3%
주 54
 
3.0%
교 53
 
3.0%
장 49
 
2.7%
Other values (171) 982
55.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Space Separator
ValueCountFrequency (%)
99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1785
86.4%
Common 280
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 139
 
7.8%
사 102
 
5.7%
지 101
 
5.7%
단 100
 
5.6%
복 83
 
4.6%
인 63
 
3.5%
재 59
 
3.3%
주 54
 
3.0%
교 53
 
3.0%
장 49
 
2.7%
Other values (171) 982
55.0%
Common
ValueCountFrequency (%)
) 99
35.4%
99
35.4%
( 69
24.6%
, 13
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1785
86.4%
ASCII 280
 
13.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 139
 
7.8%
사 102
 
5.7%
지 101
 
5.7%
단 100
 
5.6%
복 83
 
4.6%
인 63
 
3.5%
재 59
 
3.3%
주 54
 
3.0%
교 53
 
3.0%
장 49
 
2.7%
Other values (171) 982
55.0%
ASCII
ValueCountFrequency (%)
) 99
35.4%
99
35.4%
( 69
24.6%
, 13
 
4.6%

Interactions

2023-12-12T18:12:58.821470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:13:04.401278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.898
구분0.8981.000
2023-12-12T18:13:04.558019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.670
구분0.6701.000

Missing values

2023-12-12T18:12:58.969056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:12:59.112855image/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

연번구분명칭시설장(관장)소재지전화번호비고(주생산용품-운영주체)
01직업재활시설보람근로원이원기충청북도 청주시 청원구 북이면 충청대로 1205043-214-2271복사용지,인쇄물
12직업재활시설프란치스코의집박정희충청북도 청주시 서원구 남지로21번길 60043-295-2515화장지,면장갑
23직업재활시설충북재활원박종분충청북도 청주시 흥덕구 1순환로438번길 39-17043-265-7415제과,제빵
34직업재활시설이룸의터변종권충청북도 청주시 상당구 미원면 대신1길 49-51043-294-7416물티슈
45직업재활시설충북광화원제안원이기동충청북도 청주시 상당구 산성로25번길 30043-253-7598학습교구 임가공,소독
56직업재활시설예심하우스장국현충청북도 청주시 상당구 남일면 신송2길 30043-284-1009위생저,김자반,쇼핑백
67직업재활시설나눔의터이경수충청북도 청주시 상당구 교서로 4-2070-4066-0065재생토너,인쇄물,현수막
78직업재활시설직지드림플러스김지용충청북도 청주시 서원구 구룡산로372번길 5043-288-5174문서화일,천연비누
89직업재활시설하늘재이재례충청북도 청주시 서원구 현도면 시목외천로 404-19043-276-9790돈가스
910직업재활시설춤추는북카페곽희철충청북도 청주시 상당구 가덕면 가덕시동길 74-4043-260-3116커피
연번구분명칭시설장(관장)소재지전화번호비고(주생산용품-운영주체)
176177장애인공동생활가정동행김갑용충청북도 증평군 증평읍 대학로 30043-832-9960김갑용
177178장애인공동생활가정꽃동네장애인공동생활가정 꿈의집전희숙충청북도 진천군 덕산읍 대하로 195, 영무예다음2차@201동 203호<NA>(재단) 예수의꽃동네유지재단
178179장애인공동생활가정꽃동네장애인공동생활가정 빛의집전희숙충청북도 진천군 덕산읍 대하로 195, 영무예다음2차@201동 204호<NA>(재단) 예수의꽃동네유지재단
179180장애인공동생활가정별들의 집이현지충청북도 진천군 이월면 진안로 46, 산내들아파트 207호<NA>이진호
180181장애인공동생활가정양업효경원이춘덕충청북도 진천군 덕산읍 하고1길 2043-537-1984이춘덕
181182장애인공동생활가정성제노의집이정자충청북도 괴산군 청안면 장암로3길 12043-832-1223(사단) 한국장애인부모회충북괴산군분사무소
182183장애인공동생활가정베데스다의집임종희충청북도 괴산군 장연면 미선로교동길 23043-834-8883(사단)한국장애인선교단체총연합회괴산군지부
183184장애인공동생활가정나눔의 집박영금충청북도 괴산군 청천면 도경로 275<NA>(사단)한국장애인선교단체총연합회괴산군지부
184185장애인공동생활가정에벨의 집김우종충청북도 음성군 감곡면 영산로55번길 19-39<NA>김우종
185186피해장애인 쉼터충청북도 피해장애인 쉼터민용순충북도내(비공개시설)<NA>사단법인 충북장애인부모연대