Overview

Dataset statistics

Number of variables10
Number of observations49
Missing cells4
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory87.7 B

Variable types

Numeric5
Categorical1
Text3
DateTime1

Dataset

Description광주광역시 광산구 내 장애인복지관 등 장애인 복지시설 현황 (시설명, 도로명주소, 운영주체, 종사자, 인원 등)에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3082278/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
종사자 is highly overall correlated with 인원(이용자) and 2 other fieldsHigh correlation
인원(이용자) is highly overall correlated with 종사자 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
인원(이용자) has 4 (8.2%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:50:15.888361
Analysis finished2023-12-12 11:50:19.132758
Duration3.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T20:50:19.219805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-12T20:50:19.405963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
지역사회재활시설
14 
공동생활가정
12 
직업재활시설
12 
거주시설
10 
장애인생상품판매시설
 
1

Length

Max length10
Median length8
Mean length6.244898
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
지역사회재활시설 14
28.6%
공동생활가정 12
24.5%
직업재활시설 12
24.5%
거주시설 10
20.4%
장애인생상품판매시설 1
 
2.0%

Length

2023-12-12T20:50:19.577528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:50:19.720242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역사회재활시설 14
28.6%
공동생활가정 12
24.5%
직업재활시설 12
24.5%
거주시설 10
20.4%
장애인생상품판매시설 1
 
2.0%

시설명
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T20:50:19.940334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length9.244898
Min length3

Characters and Unicode

Total characters453
Distinct characters124
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row백선바오로의 집
2nd row로렌시아의 집
3rd row보람의집
4th row소화성가정
5th row로뎀나무아래
ValueCountFrequency (%)
집 2
 
3.8%
금옥보호작업장 1
 
1.9%
엠마우스보호작업장 1
 
1.9%
바오로일터(보호작업장 1
 
1.9%
광산구장애인보호작업장 1
 
1.9%
풍경복지센터보호작업장 1
 
1.9%
시온장애인보호작업장 1
 
1.9%
좋은직업재활센터(구 1
 
1.9%
천샘일터 1
 
1.9%
다솜장애인보호작업장 1
 
1.9%
Other values (41) 41
78.8%
2023-12-12T20:50:20.418699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 27
 
6.0%
보 21
 
4.6%
호 20
 
4.4%
애 20
 
4.4%
인 19
 
4.2%
터 19
 
4.2%
센 16
 
3.5%
주 14
 
3.1%
활 14
 
3.1%
가 13
 
2.9%
Other values (114) 270
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
97.6%
Open Punctuation 4
 
0.9%
Close Punctuation 4
 
0.9%
Space Separator 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 27
 
6.1%
보 21
 
4.8%
호 20
 
4.5%
애 20
 
4.5%
인 19
 
4.3%
터 19
 
4.3%
센 16
 
3.6%
주 14
 
3.2%
활 14
 
3.2%
가 13
 
2.9%
Other values (111) 259
58.6%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
97.6%
Common 11
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 27
 
6.1%
보 21
 
4.8%
호 20
 
4.5%
애 20
 
4.5%
인 19
 
4.3%
터 19
 
4.3%
센 16
 
3.6%
주 14
 
3.2%
활 14
 
3.2%
가 13
 
2.9%
Other values (111) 259
58.6%
Common
ValueCountFrequency (%)
( 4
36.4%
) 4
36.4%
3
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
97.6%
ASCII 11
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 27
 
6.1%
보 21
 
4.8%
호 20
 
4.5%
애 20
 
4.5%
인 19
 
4.3%
터 19
 
4.3%
센 16
 
3.6%
주 14
 
3.2%
활 14
 
3.2%
가 13
 
2.9%
Other values (111) 259
58.6%
ASCII
ValueCountFrequency (%)
( 4
36.4%
) 4
36.4%
3
27.3%

주소
Text

Distinct45
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T20:50:20.778408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length21.836735
Min length15

Characters and Unicode

Total characters1070
Distinct characters85
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

Unique41 ?
Unique (%)83.7%

Sample

1st row광주광역시 광산구 노안삼도로 1311-1
2nd row광주광역시 광산구 금동학동길 10-144
3rd row광주광역시 광산구 본동로 165-65
4th row광주광역시 광산구 노안삼도로 1373
5th row광주광역시 광산구 탑동길123
ValueCountFrequency (%)
광주광역시 49
22.6%
광산구 49
22.6%
사암로 5
 
2.3%
송도로 4
 
1.8%
노안삼도로 4
 
1.8%
금동학동길 3
 
1.4%
3층 3
 
1.4%
55 2
 
0.9%
303호 2
 
0.9%
1층 2
 
0.9%
Other values (84) 94
43.3%
2023-12-12T20:50:21.302784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
15.7%
광 150
14.0%
산 56
 
5.2%
1 53
 
5.0%
역 49
 
4.6%
시 49
 
4.6%
구 49
 
4.6%
주 49
 
4.6%
2 44
 
4.1%
로 40
 
3.7%
Other values (75) 363
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 637
59.5%
Decimal Number 235
 
22.0%
Space Separator 168
 
15.7%
Dash Punctuation 16
 
1.5%
Other Punctuation 11
 
1.0%
Open Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 150
23.5%
산 56
 
8.8%
역 49
 
7.7%
시 49
 
7.7%
구 49
 
7.7%
주 49
 
7.7%
로 40
 
6.3%
길 30
 
4.7%
번 18
 
2.8%
동 17
 
2.7%
Other values (59) 130
20.4%
Decimal Number
ValueCountFrequency (%)
1 53
22.6%
2 44
18.7%
3 34
14.5%
0 25
10.6%
5 17
 
7.2%
6 17
 
7.2%
4 14
 
6.0%
7 12
 
5.1%
8 11
 
4.7%
9 8
 
3.4%
Space Separator
ValueCountFrequency (%)
168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 637
59.5%
Common 432
40.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 150
23.5%
산 56
 
8.8%
역 49
 
7.7%
시 49
 
7.7%
구 49
 
7.7%
주 49
 
7.7%
로 40
 
6.3%
길 30
 
4.7%
번 18
 
2.8%
동 17
 
2.7%
Other values (59) 130
20.4%
Common
ValueCountFrequency (%)
168
38.9%
1 53
 
12.3%
2 44
 
10.2%
3 34
 
7.9%
0 25
 
5.8%
5 17
 
3.9%
6 17
 
3.9%
- 16
 
3.7%
4 14
 
3.2%
7 12
 
2.8%
Other values (5) 32
 
7.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 637
59.5%
ASCII 433
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
38.8%
1 53
 
12.2%
2 44
 
10.2%
3 34
 
7.9%
0 25
 
5.8%
5 17
 
3.9%
6 17
 
3.9%
- 16
 
3.7%
4 14
 
3.2%
7 12
 
2.8%
Other values (6) 33
 
7.6%
Hangul
ValueCountFrequency (%)
광 150
23.5%
산 56
 
8.8%
역 49
 
7.7%
시 49
 
7.7%
구 49
 
7.7%
주 49
 
7.7%
로 40
 
6.3%
길 30
 
4.7%
번 18
 
2.8%
동 17
 
2.7%
Other values (59) 130
20.4%

운영주체
Text

Distinct29
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T20:50:21.580731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.7755102
Min length1

Characters and Unicode

Total characters430
Distinct characters85
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

Unique25 ?
Unique (%)51.0%

Sample

1st row(사복) 백선사회봉사원
2nd row(사복) 금옥재단
3rd row(사복) 사누스
4th row(사복) 소화자매원
5th row(사복) 아름다운복지재단
ValueCountFrequency (%)
개인운영시설 17
25.0%
사복 15
22.1%
백선사회봉사원 3
 
4.4%
사누스 2
 
2.9%
가톨릭광주사회복지회 2
 
2.9%
금옥재단 2
 
2.9%
무지개공동회 2
 
2.9%
사)빛고운재활공동체 1
 
1.5%
사)한국장애인직업 1
 
1.5%
재활시설협회 1
 
1.5%
Other values (22) 22
32.4%
2023-12-12T20:50:22.001284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 40
 
9.3%
) 29
 
6.7%
복 24
 
5.6%
인 23
 
5.3%
22
 
5.1%
운 20
 
4.7%
개 19
 
4.4%
영 18
 
4.2%
시 18
 
4.2%
설 18
 
4.2%
Other values (75) 199
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 363
84.4%
Close Punctuation 29
 
6.7%
Space Separator 22
 
5.1%
Open Punctuation 15
 
3.5%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 40
 
11.0%
복 24
 
6.6%
인 23
 
6.3%
운 20
 
5.5%
개 19
 
5.2%
영 18
 
5.0%
시 18
 
5.0%
설 18
 
5.0%
회 17
 
4.7%
지 15
 
4.1%
Other values (71) 151
41.6%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Lowercase Letter
ValueCountFrequency (%)
d 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 363
84.4%
Common 66
 
15.3%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 40
 
11.0%
복 24
 
6.6%
인 23
 
6.3%
운 20
 
5.5%
개 19
 
5.2%
영 18
 
5.0%
시 18
 
5.0%
설 18
 
5.0%
회 17
 
4.7%
지 15
 
4.1%
Other values (71) 151
41.6%
Common
ValueCountFrequency (%)
) 29
43.9%
22
33.3%
( 15
22.7%
Latin
ValueCountFrequency (%)
d 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 363
84.4%
ASCII 67
 
15.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 40
 
11.0%
복 24
 
6.6%
인 23
 
6.3%
운 20
 
5.5%
개 19
 
5.2%
영 18
 
5.0%
시 18
 
5.0%
설 18
 
5.0%
회 17
 
4.7%
지 15
 
4.1%
Other values (71) 151
41.6%
ASCII
ValueCountFrequency (%)
) 29
43.3%
22
32.8%
( 15
22.4%
d 1
 
1.5%

종사자
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3673469
Minimum2
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T20:50:22.133463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median6
Q311
95-th percentile26.6
Maximum31
Range29
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.7266209
Coefficient of variation (CV)0.93160005
Kurtosis0.30906492
Mean9.3673469
Median Absolute Deviation (MAD)3
Skewness1.288589
Sum459
Variance76.153912
MonotonicityNot monotonic
2023-12-12T20:50:22.273827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 9
18.4%
7 6
12.2%
3 5
10.2%
4 5
10.2%
5 5
10.2%
26 2
 
4.1%
6 2
 
4.1%
25 2
 
4.1%
9 2
 
4.1%
15 2
 
4.1%
Other values (9) 9
18.4%
ValueCountFrequency (%)
2 9
18.4%
3 5
10.2%
4 5
10.2%
5 5
10.2%
6 2
 
4.1%
7 6
12.2%
8 1
 
2.0%
9 2
 
4.1%
10 1
 
2.0%
11 1
 
2.0%
ValueCountFrequency (%)
31 1
2.0%
30 1
2.0%
27 1
2.0%
26 2
4.1%
25 2
4.1%
23 1
2.0%
19 1
2.0%
18 1
2.0%
15 2
4.1%
11 1
2.0%

인원(이용자)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct20
Distinct (%)44.4%
Missing4
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean18.933333
Minimum3
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T20:50:22.412910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14
median16
Q330
95-th percentile37.6
Maximum41
Range38
Interquartile range (IQR)26

Descriptive statistics

Standard deviation12.78209
Coefficient of variation (CV)0.67511037
Kurtosis-1.4862232
Mean18.933333
Median Absolute Deviation (MAD)12
Skewness0.066907825
Sum852
Variance163.38182
MonotonicityNot monotonic
2023-12-12T20:50:22.551721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4 8
16.3%
3 6
12.2%
30 4
 
8.2%
28 4
 
8.2%
14 4
 
8.2%
16 3
 
6.1%
19 2
 
4.1%
36 2
 
4.1%
29 1
 
2.0%
24 1
 
2.0%
Other values (10) 10
20.4%
(Missing) 4
 
8.2%
ValueCountFrequency (%)
3 6
12.2%
4 8
16.3%
12 1
 
2.0%
13 1
 
2.0%
14 4
8.2%
16 3
 
6.1%
19 2
 
4.1%
24 1
 
2.0%
27 1
 
2.0%
28 4
8.2%
ValueCountFrequency (%)
41 1
 
2.0%
39 1
 
2.0%
38 1
 
2.0%
36 2
4.1%
35 1
 
2.0%
34 1
 
2.0%
33 1
 
2.0%
31 1
 
2.0%
30 4
8.2%
29 1
 
2.0%

위도
Real number (ℝ)

Distinct44
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.163401
Minimum35.092176
Maximum35.221533
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T20:50:22.704010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.092176
5-th percentile35.131351
Q135.141512
median35.154562
Q335.184991
95-th percentile35.215889
Maximum35.221533
Range0.12935618
Interquartile range (IQR)0.04347858

Descriptive statistics

Standard deviation0.028778234
Coefficient of variation (CV)0.00081841441
Kurtosis-0.21832568
Mean35.163401
Median Absolute Deviation (MAD)0.017454258
Skewness0.34881959
Sum1723.0067
Variance0.00082818675
MonotonicityNot monotonic
2023-12-12T20:50:22.914012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
35.1328905089381 2
 
4.1%
35.1720166540511 2
 
4.1%
35.141512207067 2
 
4.1%
35.1384117157074 2
 
4.1%
35.1687463606696 2
 
4.1%
35.15356394138 1
 
2.0%
35.1422886891458 1
 
2.0%
35.1666526138237 1
 
2.0%
35.2190656942956 1
 
2.0%
35.0921764186163 1
 
2.0%
Other values (34) 34
69.4%
ValueCountFrequency (%)
35.0921764186163 1
2.0%
35.1301005526004 1
2.0%
35.1303242439764 1
2.0%
35.1328905089381 2
4.1%
35.1345433852263 1
2.0%
35.1381331316838 1
2.0%
35.1384117157074 2
4.1%
35.1402622561846 1
2.0%
35.1402985822967 1
2.0%
35.1408523825228 1
2.0%
ValueCountFrequency (%)
35.2215326011543 1
2.0%
35.2190656942956 1
2.0%
35.2163014452425 1
2.0%
35.2152713632093 1
2.0%
35.214602896388 1
2.0%
35.2138557974932 1
2.0%
35.1939580863971 1
2.0%
35.1897425702018 1
2.0%
35.1882026388958 1
2.0%
35.18790525484 1
2.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct44
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.77786
Minimum126.66031
Maximum126.85239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T20:50:23.105350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.66031
5-th percentile126.6651
Q1126.76398
median126.79838
Q3126.80847
95-th percentile126.84688
Maximum126.85239
Range0.19207752
Interquartile range (IQR)0.044482633

Descriptive statistics

Standard deviation0.059573547
Coefficient of variation (CV)0.00046990496
Kurtosis-0.263958
Mean126.77786
Median Absolute Deviation (MAD)0.010840694
Skewness-1.0276023
Sum6212.1153
Variance0.0035490075
MonotonicityNot monotonic
2023-12-12T20:50:23.292049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
126.797297795064 2
 
4.1%
126.68000790737 2
 
4.1%
126.763984661952 2
 
4.1%
126.802433100357 2
 
4.1%
126.808467294501 2
 
4.1%
126.671318985711 1
 
2.0%
126.801960987373 1
 
2.0%
126.793974199561 1
 
2.0%
126.847659559859 1
 
2.0%
126.773859648529 1
 
2.0%
Other values (34) 34
69.4%
ValueCountFrequency (%)
126.660313950037 1
2.0%
126.661751710516 1
2.0%
126.661908745703 1
2.0%
126.669894814863 1
2.0%
126.670735378189 1
2.0%
126.671318985711 1
2.0%
126.671430069862 1
2.0%
126.672328562589 1
2.0%
126.68000790737 2
4.1%
126.731511518435 1
2.0%
ValueCountFrequency (%)
126.85239146838 1
2.0%
126.847800649671 1
2.0%
126.847659559859 1
2.0%
126.845711375363 1
2.0%
126.845251805705 1
2.0%
126.844392486385 1
2.0%
126.840830069251 1
2.0%
126.83205238107 1
2.0%
126.810615005971 1
2.0%
126.809396979099 1
2.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T20:50:23.460052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:23.602512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T20:50:18.365181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:16.322171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:16.769700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:17.238181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:17.898537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:18.458367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:16.396786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:16.856172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:17.557909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:17.978181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:18.547538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:16.473605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:16.933272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:17.636964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:18.065410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:18.650124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:16.559973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:17.030219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:17.729589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:18.156748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:18.744747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:16.654377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:17.127270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:17.811828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:18.249477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:50:23.707876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분시설명주소운영주체종사자인원(이용자)위도경도
연번1.0000.9861.0000.8940.4510.7860.7670.1890.422
구분0.9861.0001.0000.9930.9090.7370.8830.1670.580
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
주소0.8940.9931.0001.0000.9910.7890.9481.0001.000
운영주체0.4510.9091.0000.9911.0000.9490.9450.7050.868
종사자0.7860.7371.0000.7890.9491.0000.8820.6490.653
인원(이용자)0.7670.8831.0000.9480.9450.8821.0000.0000.675
위도0.1890.1671.0001.0000.7050.6490.0001.0000.825
경도0.4220.5801.0001.0000.8680.6530.6750.8251.000
2023-12-12T20:50:23.848372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종사자인원(이용자)위도경도구분
연번1.000-0.237-0.1280.0110.5380.773
종사자-0.2371.0000.7890.122-0.6060.515
인원(이용자)-0.1280.7891.0000.236-0.4690.741
위도0.0110.1220.2361.0000.3290.081
경도0.538-0.606-0.4690.3291.0000.388
구분0.7730.5150.7410.0810.3881.000

Missing values

2023-12-12T20:50:18.920425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:50:19.075545image/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

연번구분시설명주소운영주체종사자인원(이용자)위도경도데이터기준일자
01거주시설백선바오로의 집광주광역시 광산구 노안삼도로 1311-1(사복) 백선사회봉사원273035.153564126.6713192022-12-31
12거주시설로렌시아의 집광주광역시 광산구 금동학동길 10-144(사복) 금옥재단313935.184337126.6617522022-12-31
23거주시설보람의집광주광역시 광산구 본동로 165-65(사복) 사누스262735.172017126.6800082022-12-31
34거주시설소화성가정광주광역시 광산구 노안삼도로 1373(사복) 소화자매원303335.159235126.6698952022-12-31
45거주시설로뎀나무아래광주광역시 광산구 탑동길123(사복) 아름다운복지재단192435.187905126.7315122022-12-31
56거주시설애일의집광주광역시 광산구 금동학동길 198사단)애일의집182835.189743126.6707352022-12-31
67거주시설어등재활원광주광역시 광산구 본동로 165-65(사복) 사누스232935.172017126.6800082022-12-31
78거주시설후암원광주광역시 광산구 대산로 257(사복) 금정252835.146368126.6603142022-12-31
89거주시설바오로빌광주광역시 광산구 노안삼도로 1311-2(사복) 백선사회봉사원252835.153723126.671432022-12-31
910거주시설투게더장애인단기보호센터광주광역시 광산구 신흥신기길38-12사단)투게더가족복지회101935.145978126.8030342022-12-31
연번구분시설명주소운영주체종사자인원(이용자)위도경도데이터기준일자
3940지역사회재활시설하람장애인주간보호센터광주광역시 광산구 첨단중앙로124번길 54 수형빌딩4층사)스스로나눔복지51635.216301126.8452522022-12-31
4041지역사회재활시설은가비장애인주간보호센터광주광역시 광산구 송정공원로 17개인운영시설41435.145133126.7987772022-12-31
4142지역사회재활시설나눔장애인주간보호센터광주광역시 광산구 하남울로공원 1길9, 3층d41435.184185126.8029752022-12-31
4243지역사회재활시설담터장애인주간보호센터광주광역시 광산구 월계로 203개인운영시설41235.213856126.8478012022-12-31
4344지역사회재활시설참조은장애인주간보호센터광주광역시 광산구 수등로 211개인운영시설41435.185381126.8320522022-12-31
4445지역사회재활시설한울장애인주간보호센터광주광역시 광산구 앰코로 35 3층, 315호개인운영시설31335.221533126.8523912022-12-31
4546지역사회재활시설행복장애인주간보호센터광주광역시 광산구 신가매결길 76개인운영시설3335.188203126.840832022-12-31
4647지역사회재활시설발달코칭협동조합꿈을그리다광주광역시 광산구 광산로67번길 32협)꿈을그리다7<NA>35.142003126.7973852022-12-31
4748지역사회재활시설공감심리상담발달센터광주광역시 광산구 상도산길 43, 1층개인운영시설6<NA>35.134543126.7943312022-12-31
4849지역사회재활시설광산구장애인복지관광주광역시 광산구 무진대로 276(우산동)직영26<NA>35.160898126.8106152022-12-31