Overview

Dataset statistics

Number of variables13
Number of observations61
Missing cells34
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory111.2 B

Variable types

Text3
Categorical4
Numeric5
DateTime1

Dataset

Description경상남도 양산시 사회복지 시설 현황에 대한 데이터로 시설명, 종류, 목적, 정원, 현원, 종사자, 소재지, 전화번호, 설립일자 등의 항목을 제공합니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15074075

Alerts

출처 has constant value ""Constant
정원 is highly overall correlated with 현원 and 2 other fieldsHigh correlation
현원 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
종사자 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
종류 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
목적 is highly overall correlated with 종류High correlation
정원 has 22 (36.1%) missing valuesMissing
현원 has 10 (16.4%) missing valuesMissing
종사자 has 2 (3.3%) missing valuesMissing
시설명 has unique valuesUnique
현원 has 6 (9.8%) zerosZeros

Reproduction

Analysis started2023-12-11 00:00:26.107266
Analysis finished2023-12-11 00:00:30.250136
Duration4.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T09:00:30.451080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.4590164
Min length2

Characters and Unicode

Total characters516
Distinct characters136
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

Unique61 ?
Unique (%)100.0%

Sample

1st row무궁애학원
2nd row가온들찬빛
3rd row새힘
4th row예은의집
5th row늘푸른집
ValueCountFrequency (%)
시니어클럽 2
 
2.9%
무궁애학원 1
 
1.5%
드림케어 1
 
1.5%
따스한노인주간 1
 
1.5%
성심장기요양통합센터 1
 
1.5%
굿모닝노인복지센터 1
 
1.5%
일등재가복지센터 1
 
1.5%
증산효사랑재활주간복지센터 1
 
1.5%
착한재가복지센터 1
 
1.5%
양산재가노인복지센터 1
 
1.5%
Other values (57) 57
83.8%
2023-12-11T09:00:30.905613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 28
 
5.4%
센 27
 
5.2%
양 25
 
4.8%
지 18
 
3.5%
복 17
 
3.3%
원 16
 
3.1%
재 16
 
3.1%
인 15
 
2.9%
시 14
 
2.7%
산 13
 
2.5%
Other values (126) 327
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 509
98.6%
Space Separator 7
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 28
 
5.5%
센 27
 
5.3%
양 25
 
4.9%
지 18
 
3.5%
복 17
 
3.3%
원 16
 
3.1%
재 16
 
3.1%
인 15
 
2.9%
시 14
 
2.8%
산 13
 
2.6%
Other values (125) 320
62.9%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 509
98.6%
Common 7
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 28
 
5.5%
센 27
 
5.3%
양 25
 
4.9%
지 18
 
3.5%
복 17
 
3.3%
원 16
 
3.1%
재 16
 
3.1%
인 15
 
2.9%
시 14
 
2.8%
산 13
 
2.6%
Other values (125) 320
62.9%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 509
98.6%
ASCII 7
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 28
 
5.5%
센 27
 
5.3%
양 25
 
4.9%
지 18
 
3.5%
복 17
 
3.3%
원 16
 
3.1%
재 16
 
3.1%
인 15
 
2.9%
시 14
 
2.8%
산 13
 
2.6%
Other values (125) 320
62.9%
ASCII
ValueCountFrequency (%)
7
100.0%

종류
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
재가노인복지시설
21 
장애인지역사회재활시설
10 
노인의료복지시설
10 
장애인직업재활시설(장애인보호작업장)
5 
장애인거주시설
3 
Other values (7)
12 

Length

Max length19
Median length8
Mean length9.1967213
Min length5

Unique

Unique3 ?
Unique (%)4.9%

Sample

1st row장애인거주시설
2nd row장애인거주시설
3rd row장애인단기거주시설
4th row장애인공동생활가정
5th row장애인거주시설

Common Values

ValueCountFrequency (%)
재가노인복지시설 21
34.4%
장애인지역사회재활시설 10
16.4%
노인의료복지시설 10
16.4%
장애인직업재활시설(장애인보호작업장) 5
 
8.2%
장애인거주시설 3
 
4.9%
노인주거복지시설 3
 
4.9%
사회복지관 2
 
3.3%
노인복지관 2
 
3.3%
노인일자리지원기관 2
 
3.3%
장애인단기거주시설 1
 
1.6%
Other values (2) 2
 
3.3%

Length

2023-12-11T09:00:31.094932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재가노인복지시설 21
34.4%
장애인지역사회재활시설 10
16.4%
노인의료복지시설 10
16.4%
장애인직업재활시설(장애인보호작업장 5
 
8.2%
장애인거주시설 3
 
4.9%
노인주거복지시설 3
 
4.9%
사회복지관 2
 
3.3%
노인복지관 2
 
3.3%
노인일자리지원기관 2
 
3.3%
장애인단기거주시설 1
 
1.6%
Other values (2) 2
 
3.3%

목적
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
이용시설
39 
생활시설
17 
생활시설(부산시법인)
 
2
방문요양
 
2
이용시설(부산시법인)
 
1

Length

Max length11
Median length4
Mean length4.3442623
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row생활시설
2nd row생활시설(부산시법인)
3rd row생활시설
4th row생활시설
5th row생활시설

Common Values

ValueCountFrequency (%)
이용시설 39
63.9%
생활시설 17
27.9%
생활시설(부산시법인) 2
 
3.3%
방문요양 2
 
3.3%
이용시설(부산시법인) 1
 
1.6%

Length

2023-12-11T09:00:31.255996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:00:31.419074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이용시설 39
63.9%
생활시설 17
27.9%
생활시설(부산시법인 2
 
3.3%
방문요양 2
 
3.3%
이용시설(부산시법인 1
 
1.6%

정원
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct32
Distinct (%)82.1%
Missing22
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean58.564103
Minimum1
Maximum583
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T09:00:31.563224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.8
Q112
median30
Q350
95-th percentile130.1
Maximum583
Range582
Interquartile range (IQR)38

Descriptive statistics

Standard deviation106.72266
Coefficient of variation (CV)1.8223221
Kurtosis17.678524
Mean58.564103
Median Absolute Deviation (MAD)20
Skewness4.0985853
Sum2284
Variance11389.726
MonotonicityNot monotonic
2023-12-11T09:00:31.707362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
9 4
 
6.6%
10 2
 
3.3%
25 2
 
3.3%
30 2
 
3.3%
50 2
 
3.3%
8 1
 
1.6%
29 1
 
1.6%
49 1
 
1.6%
99 1
 
1.6%
6 1
 
1.6%
Other values (22) 22
36.1%
(Missing) 22
36.1%
ValueCountFrequency (%)
1 1
 
1.6%
4 1
 
1.6%
6 1
 
1.6%
8 1
 
1.6%
9 4
6.6%
10 2
3.3%
14 1
 
1.6%
15 1
 
1.6%
16 1
 
1.6%
20 1
 
1.6%
ValueCountFrequency (%)
583 1
1.6%
392 1
1.6%
101 1
1.6%
99 1
1.6%
85 1
1.6%
80 1
1.6%
74 1
1.6%
72 1
1.6%
52 1
1.6%
50 2
3.3%

현원
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct34
Distinct (%)66.7%
Missing10
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean223.27451
Minimum0
Maximum5127
Zeros6
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T09:00:31.855182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.5
median18
Q341.5
95-th percentile379
Maximum5127
Range5127
Interquartile range (IQR)34

Descriptive statistics

Standard deviation927.25554
Coefficient of variation (CV)4.1529843
Kurtosis23.205997
Mean223.27451
Median Absolute Deviation (MAD)15
Skewness4.8902259
Sum11387
Variance859802.84
MonotonicityNot monotonic
2023-12-11T09:00:31.988239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 6
 
9.8%
5 3
 
4.9%
8 3
 
4.9%
22 3
 
4.9%
18 3
 
4.9%
33 2
 
3.3%
4 2
 
3.3%
11 2
 
3.3%
16 2
 
3.3%
51 1
 
1.6%
Other values (24) 24
39.3%
(Missing) 10
16.4%
ValueCountFrequency (%)
0 6
9.8%
3 1
 
1.6%
4 2
 
3.3%
5 3
4.9%
7 1
 
1.6%
8 3
4.9%
9 1
 
1.6%
10 1
 
1.6%
11 2
 
3.3%
15 1
 
1.6%
ValueCountFrequency (%)
5127 1
1.6%
4339 1
1.6%
573 1
1.6%
185 1
1.6%
101 1
1.6%
84 1
1.6%
80 1
1.6%
71 1
1.6%
70 1
1.6%
51 1
1.6%

종사자
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct26
Distinct (%)44.1%
Missing2
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean17.389831
Minimum2
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T09:00:32.132468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14.5
median8
Q318
95-th percentile45.1
Maximum240
Range238
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation32.401052
Coefficient of variation (CV)1.8632184
Kurtosis39.556235
Mean17.389831
Median Absolute Deviation (MAD)5
Skewness5.8413473
Sum1026
Variance1049.8282
MonotonicityNot monotonic
2023-12-11T09:00:32.283172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
6 7
 
11.5%
3 6
 
9.8%
4 5
 
8.2%
2 4
 
6.6%
5 4
 
6.6%
12 3
 
4.9%
8 3
 
4.9%
7 3
 
4.9%
21 2
 
3.3%
16 2
 
3.3%
Other values (16) 20
32.8%
ValueCountFrequency (%)
2 4
6.6%
3 6
9.8%
4 5
8.2%
5 4
6.6%
6 7
11.5%
7 3
4.9%
8 3
4.9%
9 1
 
1.6%
10 1
 
1.6%
11 2
 
3.3%
ValueCountFrequency (%)
240 1
1.6%
59 1
1.6%
46 1
1.6%
45 2
3.3%
44 1
1.6%
38 1
1.6%
33 1
1.6%
28 2
3.3%
27 1
1.6%
23 1
1.6%

소재지
Text

Distinct54
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T09:00:32.571932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length18.852459
Min length15

Characters and Unicode

Total characters1150
Distinct characters74
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

Unique50 ?
Unique (%)82.0%

Sample

1st row경상남도 양산시 물금읍 청룡로 69
2nd row경상남도 양산시 신명3길 125
3rd row경상남도 양산시 물금읍 화산1길 6
4th row경상남도 양산시 신명로 73
5th row경상남도 양산시 상북면 수서로 349-94
ValueCountFrequency (%)
경상남도 61
22.0%
양산시 61
22.0%
물금읍 10
 
3.6%
하북면 8
 
2.9%
북안남5길 6
 
2.2%
15 5
 
1.8%
동면 5
 
1.8%
월평1길 4
 
1.4%
덕계7길 3
 
1.1%
26 3
 
1.1%
Other values (90) 111
40.1%
2023-12-11T09:00:33.100981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
223
19.4%
남 70
 
6.1%
산 70
 
6.1%
상 67
 
5.8%
양 66
 
5.7%
경 61
 
5.3%
도 61
 
5.3%
시 61
 
5.3%
1 40
 
3.5%
길 39
 
3.4%
Other values (64) 392
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 716
62.3%
Space Separator 223
 
19.4%
Decimal Number 196
 
17.0%
Dash Punctuation 9
 
0.8%
Other Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 70
 
9.8%
산 70
 
9.8%
상 67
 
9.4%
양 66
 
9.2%
경 61
 
8.5%
도 61
 
8.5%
시 61
 
8.5%
길 39
 
5.4%
북 23
 
3.2%
로 22
 
3.1%
Other values (51) 176
24.6%
Decimal Number
ValueCountFrequency (%)
1 40
20.4%
2 30
15.3%
5 24
12.2%
3 19
9.7%
7 17
8.7%
6 15
 
7.7%
0 14
 
7.1%
8 14
 
7.1%
4 13
 
6.6%
9 10
 
5.1%
Space Separator
ValueCountFrequency (%)
223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 716
62.3%
Common 434
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 70
 
9.8%
산 70
 
9.8%
상 67
 
9.4%
양 66
 
9.2%
경 61
 
8.5%
도 61
 
8.5%
시 61
 
8.5%
길 39
 
5.4%
북 23
 
3.2%
로 22
 
3.1%
Other values (51) 176
24.6%
Common
ValueCountFrequency (%)
223
51.4%
1 40
 
9.2%
2 30
 
6.9%
5 24
 
5.5%
3 19
 
4.4%
7 17
 
3.9%
6 15
 
3.5%
0 14
 
3.2%
8 14
 
3.2%
4 13
 
3.0%
Other values (3) 25
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 716
62.3%
ASCII 434
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
223
51.4%
1 40
 
9.2%
2 30
 
6.9%
5 24
 
5.5%
3 19
 
4.4%
7 17
 
3.9%
6 15
 
3.5%
0 14
 
3.2%
8 14
 
3.2%
4 13
 
3.0%
Other values (3) 25
 
5.8%
Hangul
ValueCountFrequency (%)
남 70
 
9.8%
산 70
 
9.8%
상 67
 
9.4%
양 66
 
9.2%
경 61
 
8.5%
도 61
 
8.5%
시 61
 
8.5%
길 39
 
5.4%
북 23
 
3.2%
로 22
 
3.1%
Other values (51) 176
24.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.373847
Minimum35.310925
Maximum35.496022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T09:00:33.276347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.310925
5-th percentile35.320151
Q135.335837
median35.349527
Q335.389188
95-th percentile35.495344
Maximum35.496022
Range0.185097
Interquartile range (IQR)0.053351

Descriptive statistics

Standard deviation0.051189694
Coefficient of variation (CV)0.0014471056
Kurtosis0.37626102
Mean35.373847
Median Absolute Deviation (MAD)0.021294
Skewness1.1565978
Sum2157.8047
Variance0.0026203848
MonotonicityNot monotonic
2023-12-11T09:00:33.455430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.345788 5
 
8.2%
35.374642 3
 
4.9%
35.328796 2
 
3.3%
35.349527 2
 
3.3%
35.335837 2
 
3.3%
35.496022 2
 
3.3%
35.347359 1
 
1.6%
35.32734425 1
 
1.6%
35.31423069 1
 
1.6%
35.32015092 1
 
1.6%
Other values (41) 41
67.2%
ValueCountFrequency (%)
35.310925 1
1.6%
35.31423069 1
1.6%
35.31443887 1
1.6%
35.32015092 1
1.6%
35.327188 1
1.6%
35.32734425 1
1.6%
35.32832 1
1.6%
35.328796 2
3.3%
35.33044804 1
1.6%
35.331604 1
1.6%
ValueCountFrequency (%)
35.496022 2
3.3%
35.495779 1
1.6%
35.495344 1
1.6%
35.484262 1
1.6%
35.46028936 1
1.6%
35.45437 1
1.6%
35.453566 1
1.6%
35.440818 1
1.6%
35.43059 1
1.6%
35.425548 1
1.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06418
Minimum128.98557
Maximum129.17469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T09:00:33.638959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.98557
5-th percentile128.9951
Q1129.03437
median129.04031
Q3129.08958
95-th percentile129.17144
Maximum129.17469
Range0.189118
Interquartile range (IQR)0.0552059

Descriptive statistics

Standard deviation0.05485241
Coefficient of variation (CV)0.00042500103
Kurtosis-0.68491754
Mean129.06418
Median Absolute Deviation (MAD)0.032615
Skewness0.70119494
Sum7872.915
Variance0.0030087869
MonotonicityNot monotonic
2023-12-11T09:00:33.809630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.040314 5
 
8.2%
129.149029 3
 
4.9%
128.994938 2
 
3.3%
129.037076 2
 
3.3%
129.003267 2
 
3.3%
129.089578 2
 
3.3%
129.037469 1
 
1.6%
129.0343721 1
 
1.6%
129.0226398 1
 
1.6%
128.9951005 1
 
1.6%
Other values (41) 41
67.2%
ValueCountFrequency (%)
128.985571 1
1.6%
128.994938 2
3.3%
128.9951005 1
1.6%
128.996984 1
1.6%
128.997409 1
1.6%
129.000732 1
1.6%
129.003267 2
3.3%
129.004605 1
1.6%
129.007699 1
1.6%
129.0226398 1
1.6%
ValueCountFrequency (%)
129.174689 1
 
1.6%
129.173304 1
 
1.6%
129.172006 1
 
1.6%
129.171441 1
 
1.6%
129.1502152 1
 
1.6%
129.149029 3
4.9%
129.147711 1
 
1.6%
129.146143 1
 
1.6%
129.1456 1
 
1.6%
129.139522 1
 
1.6%

전화번호
Text

Distinct58
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T09:00:34.094690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters732
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

Unique55 ?
Unique (%)90.2%

Sample

1st row055-382-9896
2nd row055-365-2818
3rd row055-383-6698
4th row055-362-2342
5th row055-374-6126
ValueCountFrequency (%)
055-365-2818 2
 
3.3%
055-367-7612 2
 
3.3%
055-365-9544 2
 
3.3%
055-785-6080 1
 
1.6%
055-367-5215 1
 
1.6%
055-362-8855 1
 
1.6%
055-381-5501 1
 
1.6%
055-381-9117 1
 
1.6%
055-374-3630 1
 
1.6%
055-375-5560 1
 
1.6%
Other values (48) 48
78.7%
2023-12-11T09:00:34.511596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 167
22.8%
- 122
16.7%
0 87
11.9%
3 73
10.0%
8 63
 
8.6%
6 45
 
6.1%
7 43
 
5.9%
1 40
 
5.5%
2 36
 
4.9%
9 35
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 610
83.3%
Dash Punctuation 122
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 167
27.4%
0 87
14.3%
3 73
12.0%
8 63
 
10.3%
6 45
 
7.4%
7 43
 
7.0%
1 40
 
6.6%
2 36
 
5.9%
9 35
 
5.7%
4 21
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 732
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 167
22.8%
- 122
16.7%
0 87
11.9%
3 73
10.0%
8 63
 
8.6%
6 45
 
6.1%
7 43
 
5.9%
1 40
 
5.5%
2 36
 
4.9%
9 35
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 167
22.8%
- 122
16.7%
0 87
11.9%
3 73
10.0%
8 63
 
8.6%
6 45
 
6.1%
7 43
 
5.9%
1 40
 
5.5%
2 36
 
4.9%
9 35
 
4.8%

설립일자
Date

Distinct56
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum1982-08-30 00:00:00
Maximum2021-06-03 00:00:00
2023-12-11T09:00:34.703649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:34.881716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
기본현황
61 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기본현황 61
100.0%

Length

2023-12-11T09:00:35.003575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:00:35.095487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본현황 61
100.0%

데이터기준일자
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
2021-08-04
52 
2020-06-30
9 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-04
2nd row2020-06-30
3rd row2021-08-04
4th row2021-08-04
5th row2021-08-04

Common Values

ValueCountFrequency (%)
2021-08-04 52
85.2%
2020-06-30 9
 
14.8%

Length

2023-12-11T09:00:35.223502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:00:35.334900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-04 52
85.2%
2020-06-30 9
 
14.8%

Interactions

2023-12-11T09:00:29.027676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:26.984593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:27.521210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:28.051240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:28.548466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:29.122452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:27.085054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:27.620564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:28.144784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:28.634329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:29.236325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:27.187306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:27.718567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:28.241221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:28.731953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:29.322191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:27.286513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:27.813586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:28.347170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:28.838320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:29.416334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:27.404859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:27.936518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:28.451604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:00:28.932816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:00:35.403843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명종류목적정원현원종사자소재지위도경도전화번호설립일자데이터기준일자
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
종류1.0001.0000.7860.7610.7110.5230.9150.6040.2750.0000.9750.504
목적1.0000.7861.0000.2730.0000.2130.9950.7140.3690.0001.0000.294
정원1.0000.7610.2731.000NaN0.4240.0000.0000.0000.0001.0000.000
현원1.0000.7110.000NaN1.0000.0000.0000.0000.0001.0000.0000.412
종사자1.0000.5230.2130.4240.0001.0000.0000.0000.0000.9721.0000.000
소재지1.0000.9150.9950.0000.0000.0001.0001.0001.0000.9970.9290.000
위도1.0000.6040.7140.0000.0000.0001.0001.0000.8151.0000.9460.114
경도1.0000.2750.3690.0000.0000.0001.0000.8151.0001.0000.8900.409
전화번호1.0000.0000.0000.0001.0000.9720.9971.0001.0001.0000.9480.000
설립일자1.0000.9751.0001.0000.0001.0000.9290.9460.8900.9481.0000.427
데이터기준일자1.0000.5040.2940.0000.4120.0000.0000.1140.4090.0000.4271.000
2023-12-11T09:00:35.536257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
데이터기준일자종류목적
데이터기준일자1.0000.3540.349
종류0.3541.0000.548
목적0.3490.5481.000
2023-12-11T09:00:35.626825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원현원종사자위도경도종류목적데이터기준일자
정원1.0000.9600.8280.148-0.0800.5170.2160.000
현원0.9601.0000.7010.2630.0940.4780.0000.269
종사자0.8280.7011.0000.143-0.1070.2380.1700.000
위도0.1480.2630.1431.0000.7710.2940.3550.064
경도-0.0800.094-0.1070.7711.0000.0960.2060.377
종류0.5170.4780.2380.2940.0961.0000.5480.354
목적0.2160.0000.1700.3550.2060.5481.0000.349
데이터기준일자0.0000.2690.0000.0640.3770.3540.3491.000

Missing values

2023-12-11T09:00:29.556288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:00:29.759303image/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.
2023-12-11T09:00:30.176423image/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

시설명종류목적정원현원종사자소재지위도경도전화번호설립일자출처데이터기준일자
0무궁애학원장애인거주시설생활시설858459경상남도 양산시 물금읍 청룡로 6935.328796128.994938055-382-98961982-08-30기본현황2021-08-04
1가온들찬빛장애인거주시설생활시설(부산시법인)808046경상남도 양산시 신명3길 12535.389187129.139522055-365-28181986-06-25기본현황2020-06-30
2새힘장애인단기거주시설생활시설1085경상남도 양산시 물금읍 화산1길 635.310925128.985571055-383-66982016-10-11기본현황2021-08-04
3예은의집장애인공동생활가정생활시설433경상남도 양산시 신명로 7335.385499129.1456055-362-23422005-08-16기본현황2021-08-04
4늘푸른집장애인거주시설생활시설474533경상남도 양산시 상북면 수서로 349-9435.440818129.034441055-374-61261994-10-11기본현황2021-08-04
5미래직업재활원장애인직업재활시설(장애인보호작업장)이용시설45417경상남도 양산시 물금읍 청룡로 6935.328796128.994938055-388-23602000-06-30기본현황2020-06-30
6희망나라장애인직업재활시설(장애인보호작업장)이용시설25225경상남도 양산시 매곡4길 835.368045129.173304055-365-80552011-01-17기본현황2021-08-04
7두배일터장애인직업재활시설(장애인보호작업장)이용시설(부산시법인)30305경상남도 양산시 신명3길 13135.389188129.139521055-365-28182000-09-26기본현황2020-06-30
8양산행복한직업재활시설장애인직업재활시설(장애인보호작업장)이용시설30186경상남도 양산시 서창동5길 335.417878129.174689055-781-29512018-10-18기본현황2021-08-04
9마중물직업재활센터장애인직업재활시설(장애인보호작업장)이용시설20114경상남도 양산시 북안북2길 22-835.349898129.039322055-912-01622019-09-18기본현황2021-08-04
시설명종류목적정원현원종사자소재지위도경도전화번호설립일자출처데이터기준일자
51사랑재가복지센터재가노인복지시설이용시설<NA>1128경상남도 양산시 양주로 94, 207호35.334228129.033041055-382-91882021-01-25기본현황2021-08-04
52원케어재가노인복지시설이용시설<NA>03경상남도 양산시 동면 금오12길 30-6, 102호35.314439129.023105070-097-02482021-02-15기본현황2021-08-04
53카네이션 재가방문 간호센터재가노인복지시설이용시설<NA>52경상남도 양산시 북정로 98, 302호35.359949129.049628055-383-30082021-03-12기본현황2021-08-04
54드림재가복지센터재가노인복지시설이용시설<NA>0<NA>경상남도 양산시 북정로 104, 상가6동 203호35.361353129.05071055-366-62942021-06-03기본현황2021-08-04
55이룸재가통합요양센터재가노인복지시설이용시설<NA>0<NA>경상남도 양산시 옥곡8길 1, 2층35.33438129.035945055-364-02642021-06-03기본현황2021-08-04
56양산 시니어클럽노인일자리지원기관이용시설<NA><NA>6경상남도 양산시 남부13길 1135.340931129.038321055-372-13212008-04-04기본현황2021-08-04
57웅상 시니어클럽노인일자리지원기관이용시설<NA><NA>6경상남도 양산시 평산로 4335.381486129.150215055-785-60802020-01-01기본현황2021-08-04
58구구팔팔어르신재가복지센터재가노인복지시설방문요양<NA>427경상남도 양산시 대운5길 735.402736129.171441055-388-38882020-02-20기본현황2021-08-04
59덕계효성의집재가노인복지시설이용시설987경상남도 양산시 덕계서로 175-235.370941129.146143055-362-88552020-04-09기본현황2020-06-30
60중앙재가복지센터재가노인복지시설방문요양1<NA>2경상남도 양산시 신명로 8235.34673129.040066055-385-54782020-04-21기본현황2021-08-04