Overview

Dataset statistics

Number of variables8
Number of observations22
Missing cells1
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory73.0 B

Variable types

Text5
Numeric3

Dataset

Description경상북도 및 시군의 장애인 복지관의 시설명, 대상자별, 시설종류, 소재지, 연락처, 종사자수, 연이용인원 현황입니다.
Author경상북도
URLhttps://www.data.go.kr/data/15052033/fileData.do

Alerts

부지(제곱미터) is highly overall correlated with 종사자High correlation
종사자 is highly overall correlated with 부지(제곱미터) and 1 other fieldsHigh correlation
이용자(연인원) is highly overall correlated with 종사자High correlation
부지(제곱미터) has 1 (4.5%) missing valuesMissing
시군별 has unique valuesUnique
관장 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique
이용자(연인원) has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:32:57.859842
Analysis finished2023-12-12 22:32:59.817102
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군별
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T07:32:59.928401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.4545455
Min length3

Characters and Unicode

Total characters76
Distinct characters39
Distinct categories2 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row道 종합
2nd row의성분관
3rd row영덕분관
4th row봉화분관
5th row영양분관
ValueCountFrequency (%)
道 3
 
12.0%
김천시 1
 
4.0%
칠곡군 1
 
4.0%
청도군 1
 
4.0%
경산시 1
 
4.0%
문경시 1
 
4.0%
상주시 1
 
4.0%
영천시 1
 
4.0%
영주시 1
 
4.0%
구미시 1
 
4.0%
Other values (13) 13
52.0%
2023-12-13T07:33:00.276226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 12
 
15.8%
분 5
 
6.6%
관 5
 
6.6%
영 4
 
5.3%
道 3
 
3.9%
군 3
 
3.9%
주 3
 
3.9%
경 3
 
3.9%
3
 
3.9%
울 2
 
2.6%
Other values (29) 33
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73
96.1%
Space Separator 3
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 12
 
16.4%
분 5
 
6.8%
관 5
 
6.8%
영 4
 
5.5%
道 3
 
4.1%
군 3
 
4.1%
주 3
 
4.1%
경 3
 
4.1%
울 2
 
2.7%
천 2
 
2.7%
Other values (28) 31
42.5%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70
92.1%
Han 3
 
3.9%
Common 3
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 12
17.1%
분 5
 
7.1%
관 5
 
7.1%
영 4
 
5.7%
군 3
 
4.3%
주 3
 
4.3%
경 3
 
4.3%
울 2
 
2.9%
천 2
 
2.9%
포 2
 
2.9%
Other values (27) 29
41.4%
Han
ValueCountFrequency (%)
道 3
100.0%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70
92.1%
CJK 3
 
3.9%
ASCII 3
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 12
17.1%
분 5
 
7.1%
관 5
 
7.1%
영 4
 
5.7%
군 3
 
4.3%
주 3
 
4.3%
경 3
 
4.3%
울 2
 
2.9%
천 2
 
2.9%
포 2
 
2.9%
Other values (27) 29
41.4%
CJK
ValueCountFrequency (%)
道 3
100.0%
ASCII
ValueCountFrequency (%)
3
100.0%

관장
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T07:33:00.488527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters66
Distinct characters48
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

Unique22 ?
Unique (%)100.0%

Sample

1st row이경기
2nd row남민정
3rd row조영숙
4th row김선옥
5th row김호엽
ValueCountFrequency (%)
이경기 1
 
4.5%
남민정 1
 
4.5%
김영식 1
 
4.5%
김광환 1
 
4.5%
장재섭 1
 
4.5%
박종훈 1
 
4.5%
송미원 1
 
4.5%
이제근 1
 
4.5%
안용석 1
 
4.5%
김숙희 1
 
4.5%
Other values (12) 12
54.5%
2023-12-13T07:33:00.794997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 8
 
12.1%
정 3
 
4.5%
숙 2
 
3.0%
근 2
 
3.0%
일 2
 
3.0%
호 2
 
3.0%
옥 2
 
3.0%
선 2
 
3.0%
이 2
 
3.0%
영 2
 
3.0%
Other values (38) 39
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
12.1%
정 3
 
4.5%
숙 2
 
3.0%
근 2
 
3.0%
일 2
 
3.0%
호 2
 
3.0%
옥 2
 
3.0%
선 2
 
3.0%
이 2
 
3.0%
영 2
 
3.0%
Other values (38) 39
59.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
12.1%
정 3
 
4.5%
숙 2
 
3.0%
근 2
 
3.0%
일 2
 
3.0%
호 2
 
3.0%
옥 2
 
3.0%
선 2
 
3.0%
이 2
 
3.0%
영 2
 
3.0%
Other values (38) 39
59.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 8
 
12.1%
정 3
 
4.5%
숙 2
 
3.0%
근 2
 
3.0%
일 2
 
3.0%
호 2
 
3.0%
옥 2
 
3.0%
선 2
 
3.0%
이 2
 
3.0%
영 2
 
3.0%
Other values (38) 39
59.1%

소재지
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T07:33:01.055098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.318182
Min length11

Characters and Unicode

Total characters381
Distinct characters86
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row안동시 북후면광평2길 106-25
2nd row의성군 의성읍 잔보들길 130
3rd row청도군 청도읍 월곡2길 15
4th row봉화군 봉화읍 내성천2길 93
5th row영양군 영양읍 동서대로 90
ValueCountFrequency (%)
포항시 4
 
4.9%
남구 3
 
3.7%
안동시 2
 
2.5%
청도군 2
 
2.5%
영주시 1
 
1.2%
10(야사동 1
 
1.2%
보목2길 1
 
1.2%
영천시 1
 
1.2%
25(휴천동 1
 
1.2%
원당로52번길 1
 
1.2%
Other values (64) 64
79.0%
2023-12-13T07:33:01.436174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
15.5%
1 21
 
5.5%
2 20
 
5.2%
시 15
 
3.9%
동 15
 
3.9%
길 14
 
3.7%
로 13
 
3.4%
( 10
 
2.6%
) 10
 
2.6%
5 9
 
2.4%
Other values (76) 195
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208
54.6%
Decimal Number 86
22.6%
Space Separator 59
 
15.5%
Open Punctuation 10
 
2.6%
Close Punctuation 10
 
2.6%
Dash Punctuation 8
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 15
 
7.2%
동 15
 
7.2%
길 14
 
6.7%
로 13
 
6.2%
군 8
 
3.8%
천 7
 
3.4%
읍 6
 
2.9%
청 5
 
2.4%
도 5
 
2.4%
경 5
 
2.4%
Other values (62) 115
55.3%
Decimal Number
ValueCountFrequency (%)
1 21
24.4%
2 20
23.3%
5 9
10.5%
0 8
 
9.3%
9 7
 
8.1%
3 6
 
7.0%
6 5
 
5.8%
4 5
 
5.8%
8 3
 
3.5%
7 2
 
2.3%
Space Separator
ValueCountFrequency (%)
59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
54.6%
Common 173
45.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 15
 
7.2%
동 15
 
7.2%
길 14
 
6.7%
로 13
 
6.2%
군 8
 
3.8%
천 7
 
3.4%
읍 6
 
2.9%
청 5
 
2.4%
도 5
 
2.4%
경 5
 
2.4%
Other values (62) 115
55.3%
Common
ValueCountFrequency (%)
59
34.1%
1 21
 
12.1%
2 20
 
11.6%
( 10
 
5.8%
) 10
 
5.8%
5 9
 
5.2%
0 8
 
4.6%
- 8
 
4.6%
9 7
 
4.0%
3 6
 
3.5%
Other values (4) 15
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208
54.6%
ASCII 173
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
34.1%
1 21
 
12.1%
2 20
 
11.6%
( 10
 
5.8%
) 10
 
5.8%
5 9
 
5.2%
0 8
 
4.6%
- 8
 
4.6%
9 7
 
4.0%
3 6
 
3.5%
Other values (4) 15
 
8.7%
Hangul
ValueCountFrequency (%)
시 15
 
7.2%
동 15
 
7.2%
길 14
 
6.7%
로 13
 
6.2%
군 8
 
3.8%
천 7
 
3.4%
읍 6
 
2.9%
청 5
 
2.4%
도 5
 
2.4%
경 5
 
2.4%
Other values (62) 115
55.3%

연락처
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T07:33:01.628975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
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

Unique22 ?
Unique (%)100.0%

Sample

1st row054-858-7283
2nd row054-833-1442
3rd row054-372-2082
4th row054-674-3311
5th row054-683-9501
ValueCountFrequency (%)
054-858-7283 1
 
4.5%
054-833-1442 1
 
4.5%
054-971-4646 1
 
4.5%
054-373-0058 1
 
4.5%
053-719-2340 1
 
4.5%
054-556-0042 1
 
4.5%
054-534-6933 1
 
4.5%
054-333-3535 1
 
4.5%
054-633-6415 1
 
4.5%
054-457-3172 1
 
4.5%
Other values (12) 12
54.5%
2023-12-13T07:33:01.946393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.7%
0 40
15.2%
5 38
14.4%
4 36
13.6%
3 27
10.2%
2 17
 
6.4%
7 16
 
6.1%
1 16
 
6.1%
8 12
 
4.5%
6 9
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
18.2%
5 38
17.3%
4 36
16.4%
3 27
12.3%
2 17
7.7%
7 16
 
7.3%
1 16
 
7.3%
8 12
 
5.5%
6 9
 
4.1%
9 9
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.7%
0 40
15.2%
5 38
14.4%
4 36
13.6%
3 27
10.2%
2 17
 
6.4%
7 16
 
6.1%
1 16
 
6.1%
8 12
 
4.5%
6 9
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.7%
0 40
15.2%
5 38
14.4%
4 36
13.6%
3 27
10.2%
2 17
 
6.4%
7 16
 
6.1%
1 16
 
6.1%
8 12
 
4.5%
6 9
 
3.4%

부지(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean5189.9524
Minimum32
Maximum21161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T07:33:02.085358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile42
Q11827
median4019
Q37488
95-th percentile11446
Maximum21161
Range21129
Interquartile range (IQR)5661

Descriptive statistics

Standard deviation5070.0243
Coefficient of variation (CV)0.97689226
Kurtosis3.7454129
Mean5189.9524
Median Absolute Deviation (MAD)3469
Skewness1.6255935
Sum108989
Variance25705147
MonotonicityNot monotonic
2023-12-13T07:33:02.206008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6285 1
 
4.5%
288 1
 
4.5%
4550 1
 
4.5%
11446 1
 
4.5%
1827 1
 
4.5%
21161 1
 
4.5%
7148 1
 
4.5%
4019 1
 
4.5%
2260 1
 
4.5%
8651 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
32 1
4.5%
42 1
4.5%
50 1
4.5%
288 1
4.5%
496 1
4.5%
1827 1
4.5%
2260 1
4.5%
2974 1
4.5%
3421 1
4.5%
3442 1
4.5%
ValueCountFrequency (%)
21161 1
4.5%
11446 1
4.5%
9961 1
4.5%
9150 1
4.5%
8651 1
4.5%
7488 1
4.5%
7148 1
4.5%
6285 1
4.5%
4550 1
4.5%
4298 1
4.5%

운영주체
Text

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T07:33:02.373835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length14.409091
Min length9

Characters and Unicode

Total characters317
Distinct characters48
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

Unique11 ?
Unique (%)50.0%

Sample

1st row사회복지법인 안동애명복지촌
2nd row사회복지법인 안동애명복지촌
3rd row사회복지법인 안동애명복지촌
4th row사회복지법인 안동애명복지촌
5th row사회복지법인 안동애명복지촌
ValueCountFrequency (%)
사회복지법인 12
26.7%
사단법인 6
13.3%
안동애명복지촌 6
13.3%
한국지체장애인협회 5
11.1%
사회복지재단 1
 
2.2%
기아대책 1
 
2.2%
안동교구사회복지회 1
 
2.2%
사회복지법인천주교 1
 
2.2%
조계종사회복지재단 1
 
2.2%
대한불교 1
 
2.2%
Other values (10) 10
22.2%
2023-12-13T07:33:02.701305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 30
 
9.5%
인 27
 
8.5%
회 27
 
8.5%
복 26
 
8.2%
사 24
 
7.6%
23
 
7.3%
법 20
 
6.3%
애 13
 
4.1%
단 12
 
3.8%
한 9
 
2.8%
Other values (38) 106
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 294
92.7%
Space Separator 23
 
7.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 30
 
10.2%
인 27
 
9.2%
회 27
 
9.2%
복 26
 
8.8%
사 24
 
8.2%
법 20
 
6.8%
애 13
 
4.4%
단 12
 
4.1%
한 9
 
3.1%
장 7
 
2.4%
Other values (37) 99
33.7%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 294
92.7%
Common 23
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 30
 
10.2%
인 27
 
9.2%
회 27
 
9.2%
복 26
 
8.8%
사 24
 
8.2%
법 20
 
6.8%
애 13
 
4.4%
단 12
 
4.1%
한 9
 
3.1%
장 7
 
2.4%
Other values (37) 99
33.7%
Common
ValueCountFrequency (%)
23
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 294
92.7%
ASCII 23
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 30
 
10.2%
인 27
 
9.2%
회 27
 
9.2%
복 26
 
8.8%
사 24
 
8.2%
법 20
 
6.8%
애 13
 
4.4%
단 12
 
4.1%
한 9
 
3.1%
장 7
 
2.4%
Other values (37) 99
33.7%
ASCII
ValueCountFrequency (%)
23
100.0%

종사자
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.363636
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T07:33:02.834196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q117.5
median22.5
Q324
95-th percentile28.95
Maximum35
Range32
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation9.1523895
Coefficient of variation (CV)0.47265861
Kurtosis-0.32980076
Mean19.363636
Median Absolute Deviation (MAD)2.5
Skewness-0.78244488
Sum426
Variance83.766234
MonotonicityNot monotonic
2023-12-13T07:33:02.941268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4 3
13.6%
24 3
13.6%
23 3
13.6%
25 2
9.1%
22 2
9.1%
21 2
9.1%
6 1
 
4.5%
3 1
 
4.5%
17 1
 
4.5%
29 1
 
4.5%
Other values (3) 3
13.6%
ValueCountFrequency (%)
3 1
 
4.5%
4 3
13.6%
6 1
 
4.5%
17 1
 
4.5%
19 1
 
4.5%
21 2
9.1%
22 2
9.1%
23 3
13.6%
24 3
13.6%
25 2
9.1%
ValueCountFrequency (%)
35 1
 
4.5%
29 1
 
4.5%
28 1
 
4.5%
25 2
9.1%
24 3
13.6%
23 3
13.6%
22 2
9.1%
21 2
9.1%
19 1
 
4.5%
17 1
 
4.5%

이용자(연인원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43492.909
Minimum1800
Maximum184784
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T07:33:03.090526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1800
5-th percentile2518.85
Q14172.75
median18813.5
Q359385.5
95-th percentile126060
Maximum184784
Range182984
Interquartile range (IQR)55212.75

Descriptive statistics

Standard deviation50756.017
Coefficient of variation (CV)1.1669952
Kurtosis1.430171
Mean43492.909
Median Absolute Deviation (MAD)16125
Skewness1.3921437
Sum956844
Variance2.5761733 × 109
MonotonicityNot monotonic
2023-12-13T07:33:03.222058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3539 1
 
4.5%
2877 1
 
4.5%
10596 1
 
4.5%
1800 1
 
4.5%
20797 1
 
4.5%
57542 1
 
4.5%
16830 1
 
4.5%
25260 1
 
4.5%
109897 1
 
4.5%
55875 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1800 1
4.5%
2500 1
4.5%
2877 1
4.5%
3118 1
4.5%
3539 1
4.5%
3941 1
4.5%
4868 1
4.5%
9522 1
4.5%
10596 1
4.5%
11901 1
4.5%
ValueCountFrequency (%)
184784 1
4.5%
126710 1
4.5%
113710 1
4.5%
109897 1
4.5%
73922 1
4.5%
60000 1
4.5%
57542 1
4.5%
56855 1
4.5%
55875 1
4.5%
25260 1
4.5%

Interactions

2023-12-13T07:32:58.917392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:32:58.269689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:32:58.599518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:32:59.021862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:32:58.356826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:32:58.699865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:32:59.133871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:32:58.473684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:32:58.807001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:33:03.350178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군별관장소재지연락처부지(제곱미터)운영주체종사자이용자(연인원)
시군별1.0001.0001.0001.0001.0001.0001.0001.000
관장1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.000
부지(제곱미터)1.0001.0001.0001.0001.0000.6800.3690.000
운영주체1.0001.0001.0001.0000.6801.0000.8870.886
종사자1.0001.0001.0001.0000.3690.8871.0000.862
이용자(연인원)1.0001.0001.0001.0000.0000.8860.8621.000
2023-12-13T07:33:03.502701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부지(제곱미터)종사자이용자(연인원)
부지(제곱미터)1.0000.6800.294
종사자0.6801.0000.615
이용자(연인원)0.2940.6151.000

Missing values

2023-12-13T07:32:59.275368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:32:59.761313image/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

시군별관장소재지연락처부지(제곱미터)운영주체종사자이용자(연인원)
0道 종합이경기안동시 북후면광평2길 106-25054-858-72836285사회복지법인 안동애명복지촌253539
1의성분관남민정의성군 의성읍 잔보들길 130054-833-1442288사회복지법인 안동애명복지촌44868
2영덕분관조영숙청도군 청도읍 월곡2길 15054-372-2082<NA>사회복지법인 안동애명복지촌42500
3봉화분관김선옥봉화군 봉화읍 내성천2길 93054-674-331150사회복지법인 안동애명복지촌69522
4영양분관김호엽영양군 영양읍 동서대로 90054-683-950132사회복지법인 안동애명복지촌43941
5울릉분관신정옥울릉군 울릉읍 저동1길 21-20054-791-300442사회복지법인 안동애명복지촌33118
6道 시각김일근포항시 남구 섬안로 175(대도동)054-253-59003421사단법인 경북시각장애인연합회2211901
7道 여성여승동포항시 남구 냉천로 252번길 5-10054-290-9203496재단법인 경북행복재단1756855
8포항시김지웅포항시 남구 형산 강북로 389(해도동)054-282-40097488사회복지법인 대구가톨릭사회복지회24113710
9포항시북부김홍수포항시 북구 새천년대로 1486외054-231-11179150사회복지법인 열린가람2373922
시군별관장소재지연락처부지(제곱미터)운영주체종사자이용자(연인원)
12안동시변만호안동시 옥동1길 21(옥동)054-855-78013442대한불교조계종 사회복지재단212877
13구미시김숙희구미시 공원로 340(형곡동)054-457-31729961한국교통장애인협회35126710
14영주시안용석영주시 원당로52번길 25(휴천동)054-633-64158651사회복지법인 대한불교 조계종사회복지재단2555875
15영천시이제근영천시 보목2길 10(야사동)054-333-35352260사단법인 한국지체장애인협회21109897
16상주시송미원상주시 만산8길 11(만산동)054-534-69334019사회복지법인천주교 안동교구사회복지회2425260
17문경시박종훈문경시 시청2길 34054-556-00427148사단법인 한국지체장애인협회2216830
18경산시장재섭경산시 경청로 222길 79(백천동)053-719-234021161사회복지법인 기아대책2457542
19청도군김광환청도군 새마을로 1102-12054-373-00581827사단법인 한국지체장애인협회2320797
20칠곡군김영식칠곡군 왜관읍 관문로 1길 24-5054-971-464611446사단법인 한국지체장애인협회231800
21울진군손정일울진군 울진북로 496-12054-781-81574550사회복지법인 고우이복지재단1910596