Overview

Dataset statistics

Number of variables12
Number of observations789
Missing cells1831
Missing cells (%)19.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory79.5 KiB
Average record size in memory103.2 B

Variable types

Categorical2
Text3
Numeric7

Dataset

Description재가 노인 복지시설 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=603PT24OQ6T6IM5OK6441192048&infSeq=1

Alerts

소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
영업상태명 is highly imbalanced (87.9%)Imbalance
입소정원(명) has 102 (12.9%) missing valuesMissing
자격소유인원수(명) has 204 (25.9%) missing valuesMissing
총인원수(명) has 203 (25.7%) missing valuesMissing
소재지도로명주소 has 371 (47.0%) missing valuesMissing
소재지우편번호 has 297 (37.6%) missing valuesMissing
WGS84위도 has 327 (41.4%) missing valuesMissing
WGS84경도 has 327 (41.4%) missing valuesMissing
입소정원(명) has 135 (17.1%) zerosZeros
자격소유인원수(명) has 67 (8.5%) zerosZeros
총인원수(명) has 38 (4.8%) zerosZeros

Reproduction

Analysis started2023-12-10 22:48:19.580770
Analysis finished2023-12-10 22:48:26.314762
Duration6.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
남양주시
91 
안산시
83 
화성시
56 
평택시
 
45
성남시
 
43
Other values (26)
471 

Length

Max length4
Median length3
Mean length3.1837769
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
남양주시 91
 
11.5%
안산시 83
 
10.5%
화성시 56
 
7.1%
평택시 45
 
5.7%
성남시 43
 
5.4%
고양시 39
 
4.9%
부천시 33
 
4.2%
구리시 32
 
4.1%
의정부시 32
 
4.1%
김포시 28
 
3.5%
Other values (21) 307
38.9%

Length

2023-12-11T07:48:26.395123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남양주시 91
 
11.5%
안산시 83
 
10.5%
화성시 56
 
7.1%
평택시 45
 
5.7%
성남시 43
 
5.4%
고양시 39
 
4.9%
부천시 33
 
4.2%
구리시 32
 
4.1%
의정부시 32
 
4.1%
김포시 28
 
3.5%
Other values (21) 307
38.9%

사업장명
Text

Distinct762
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-11T07:48:26.639636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length11.17237
Min length2

Characters and Unicode

Total characters8815
Distinct characters376
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique737 ?
Unique (%)93.4%

Sample

1st row상면 다솜재가서비스센터
2nd row한마음가정봉사원파견센터
3rd row가평군노인복지관 재가서비스센터
4th row가평군노인복지관 재가노인복지센터
5th row청평면재가노인복지센터
ValueCountFrequency (%)
주간보호센터 28
 
2.7%
은빛사랑채 19
 
1.9%
부설 14
 
1.4%
노인복지센터 11
 
1.1%
주야간보호센터 10
 
1.0%
재가노인복지센터 8
 
0.8%
단기보호센터 8
 
0.8%
노인주간보호센터 7
 
0.7%
병설 5
 
0.5%
행복한현대요양원 4
 
0.4%
Other values (849) 913
88.9%
2023-12-11T07:48:27.098331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 658
 
7.5%
터 646
 
7.3%
인 372
 
4.2%
노 362
 
4.1%
지 336
 
3.8%
보 333
 
3.8%
호 332
 
3.8%
복 330
 
3.7%
주 315
 
3.6%
간 280
 
3.2%
Other values (366) 4851
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8360
94.8%
Space Separator 238
 
2.7%
Close Punctuation 57
 
0.6%
Open Punctuation 57
 
0.6%
Uppercase Letter 38
 
0.4%
Other Punctuation 28
 
0.3%
Decimal Number 20
 
0.2%
Math Symbol 11
 
0.1%
Lowercase Letter 5
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 658
 
7.9%
터 646
 
7.7%
인 372
 
4.4%
노 362
 
4.3%
지 336
 
4.0%
보 333
 
4.0%
호 332
 
4.0%
복 330
 
3.9%
주 315
 
3.8%
간 280
 
3.3%
Other values (330) 4396
52.6%
Uppercase Letter
ValueCountFrequency (%)
A 17
44.7%
C 4
 
10.5%
Y 4
 
10.5%
W 3
 
7.9%
M 2
 
5.3%
S 1
 
2.6%
H 1
 
2.6%
O 1
 
2.6%
G 1
 
2.6%
N 1
 
2.6%
Other values (3) 3
 
7.9%
Other Punctuation
ValueCountFrequency (%)
" 10
35.7%
. 10
35.7%
, 2
 
7.1%
？ 2
 
7.1%
' 2
 
7.1%
/ 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 7
35.0%
1 6
30.0%
3 4
20.0%
5 1
 
5.0%
6 1
 
5.0%
0 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
n 2
40.0%
e 1
20.0%
l 1
20.0%
y 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 56
98.2%
」 1
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 56
98.2%
「 1
 
1.8%
Space Separator
ValueCountFrequency (%)
238
100.0%
Math Symbol
ValueCountFrequency (%)
+ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8358
94.8%
Common 412
 
4.7%
Latin 43
 
0.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 658
 
7.9%
터 646
 
7.7%
인 372
 
4.5%
노 362
 
4.3%
지 336
 
4.0%
보 333
 
4.0%
호 332
 
4.0%
복 330
 
3.9%
주 315
 
3.8%
간 280
 
3.4%
Other values (328) 4394
52.6%
Common
ValueCountFrequency (%)
238
57.8%
) 56
 
13.6%
( 56
 
13.6%
+ 11
 
2.7%
" 10
 
2.4%
. 10
 
2.4%
2 7
 
1.7%
1 6
 
1.5%
3 4
 
1.0%
, 2
 
0.5%
Other values (9) 12
 
2.9%
Latin
ValueCountFrequency (%)
A 17
39.5%
C 4
 
9.3%
Y 4
 
9.3%
W 3
 
7.0%
n 2
 
4.7%
M 2
 
4.7%
S 1
 
2.3%
H 1
 
2.3%
O 1
 
2.3%
G 1
 
2.3%
Other values (7) 7
16.3%
Han
ValueCountFrequency (%)
孝 1
50.0%
美 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8355
94.8%
ASCII 451
 
5.1%
None 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 658
 
7.9%
터 646
 
7.7%
인 372
 
4.5%
노 362
 
4.3%
지 336
 
4.0%
보 333
 
4.0%
호 332
 
4.0%
복 330
 
3.9%
주 315
 
3.8%
간 280
 
3.4%
Other values (327) 4391
52.6%
ASCII
ValueCountFrequency (%)
238
52.8%
) 56
 
12.4%
( 56
 
12.4%
A 17
 
3.8%
+ 11
 
2.4%
" 10
 
2.2%
. 10
 
2.2%
2 7
 
1.6%
1 6
 
1.3%
C 4
 
0.9%
Other values (23) 36
 
8.0%
Compat Jamo
ValueCountFrequency (%)
ㅈ 3
100.0%
None
ValueCountFrequency (%)
？ 2
50.0%
」 1
25.0%
「 1
25.0%
CJK
ValueCountFrequency (%)
孝 1
50.0%
美 1
50.0%

인허가일자
Real number (ℝ)

Distinct655
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20102906
Minimum19941024
Maximum20180905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2023-12-11T07:48:27.263474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19941024
5-th percentile20030225
Q120070830
median20091230
Q320141103
95-th percentile20180304
Maximum20180905
Range239881
Interquartile range (IQR)70273

Descriptive statistics

Standard deviation47630.366
Coefficient of variation (CV)0.0023693274
Kurtosis-0.12652573
Mean20102906
Median Absolute Deviation (MAD)30305
Skewness-0.23299695
Sum1.5861193 × 1010
Variance2.2686517 × 109
MonotonicityNot monotonic
2023-12-11T07:48:27.436948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20091230 5
 
0.6%
20160601 4
 
0.5%
20120702 3
 
0.4%
20071121 3
 
0.4%
20071217 3
 
0.4%
20111212 3
 
0.4%
20170627 3
 
0.4%
20141103 3
 
0.4%
20170926 3
 
0.4%
20071008 3
 
0.4%
Other values (645) 756
95.8%
ValueCountFrequency (%)
19941024 3
0.4%
19950727 1
 
0.1%
19950828 1
 
0.1%
19960601 1
 
0.1%
19970502 1
 
0.1%
19980429 1
 
0.1%
19990415 1
 
0.1%
19990722 1
 
0.1%
19991103 1
 
0.1%
20000106 1
 
0.1%
ValueCountFrequency (%)
20180905 2
0.3%
20180901 1
0.1%
20180817 1
0.1%
20180816 1
0.1%
20180813 2
0.3%
20180810 2
0.3%
20180802 1
0.1%
20180801 1
0.1%
20180727 1
0.1%
20180726 1
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
운영중
776 
휴업 등
 
13

Length

Max length4
Median length3
Mean length3.0164766
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 776
98.4%
휴업 등 13
 
1.6%

Length

2023-12-11T07:48:27.579649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:48:27.686692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 776
96.8%
휴업 13
 
1.6%
등 13
 
1.6%

입소정원(명)
Real number (ℝ)

MISSING  ZEROS 

Distinct67
Distinct (%)9.8%
Missing102
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean25.289665
Minimum0
Maximum250
Zeros135
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2023-12-11T07:48:27.830640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median16
Q330
95-th percentile80
Maximum250
Range250
Interquartile range (IQR)23

Descriptive statistics

Standard deviation29.613727
Coefficient of variation (CV)1.1709814
Kurtosis7.0875915
Mean25.289665
Median Absolute Deviation (MAD)12
Skewness2.1547349
Sum17374
Variance876.97282
MonotonicityNot monotonic
2023-12-11T07:48:27.984382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 135
17.1%
80 78
 
9.9%
9 69
 
8.7%
20 37
 
4.7%
15 33
 
4.2%
21 27
 
3.4%
24 22
 
2.8%
14 17
 
2.2%
17 17
 
2.2%
7 17
 
2.2%
Other values (57) 235
29.8%
(Missing) 102
12.9%
ValueCountFrequency (%)
0 135
17.1%
3 4
 
0.5%
4 5
 
0.6%
5 15
 
1.9%
6 8
 
1.0%
7 17
 
2.2%
8 16
 
2.0%
9 69
8.7%
10 9
 
1.1%
11 6
 
0.8%
ValueCountFrequency (%)
250 1
 
0.1%
160 3
0.4%
150 2
0.3%
130 1
 
0.1%
120 2
0.3%
110 1
 
0.1%
108 1
 
0.1%
100 1
 
0.1%
96 1
 
0.1%
94 1
 
0.1%

자격소유인원수(명)
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)4.4%
Missing204
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean3.7384615
Minimum0
Maximum50
Zeros67
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2023-12-11T07:48:28.132576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile12.8
Maximum50
Range50
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.6025203
Coefficient of variation (CV)1.2311268
Kurtosis25.039396
Mean3.7384615
Median Absolute Deviation (MAD)2
Skewness4.0127194
Sum2187
Variance21.183193
MonotonicityNot monotonic
2023-12-11T07:48:28.285921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2 108
13.7%
1 102
12.9%
3 96
12.2%
4 72
 
9.1%
0 67
 
8.5%
5 48
 
6.1%
7 24
 
3.0%
6 16
 
2.0%
8 9
 
1.1%
16 7
 
0.9%
Other values (16) 36
 
4.6%
(Missing) 204
25.9%
ValueCountFrequency (%)
0 67
8.5%
1 102
12.9%
2 108
13.7%
3 96
12.2%
4 72
9.1%
5 48
6.1%
6 16
 
2.0%
7 24
 
3.0%
8 9
 
1.1%
9 6
 
0.8%
ValueCountFrequency (%)
50 1
 
0.1%
32 1
 
0.1%
30 1
 
0.1%
27 2
 
0.3%
23 2
 
0.3%
22 1
 
0.1%
19 2
 
0.3%
18 1
 
0.1%
17 6
0.8%
16 7
0.9%

총인원수(명)
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)5.6%
Missing203
Missing (%)25.7%
Infinite0
Infinite (%)0.0%
Mean6.059727
Minimum0
Maximum100
Zeros38
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2023-12-11T07:48:28.431489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q37
95-th percentile15
Maximum100
Range100
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.336469
Coefficient of variation (CV)1.210693
Kurtosis66.848759
Mean6.059727
Median Absolute Deviation (MAD)1.5
Skewness6.5819839
Sum3551
Variance53.823777
MonotonicityNot monotonic
2023-12-11T07:48:28.552166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
4 153
19.4%
3 76
 
9.6%
5 64
 
8.1%
7 50
 
6.3%
0 38
 
4.8%
2 35
 
4.4%
6 28
 
3.5%
1 27
 
3.4%
8 23
 
2.9%
15 21
 
2.7%
Other values (23) 71
 
9.0%
(Missing) 203
25.7%
ValueCountFrequency (%)
0 38
 
4.8%
1 27
 
3.4%
2 35
 
4.4%
3 76
9.6%
4 153
19.4%
5 64
8.1%
6 28
 
3.5%
7 50
 
6.3%
8 23
 
2.9%
9 11
 
1.4%
ValueCountFrequency (%)
100 1
0.1%
80 1
0.1%
50 1
0.1%
47 1
0.1%
34 1
0.1%
33 1
0.1%
30 1
0.1%
29 1
0.1%
27 1
0.1%
24 1
0.1%

소재지도로명주소
Text

MISSING 

Distinct355
Distinct (%)84.9%
Missing371
Missing (%)47.0%
Memory size6.3 KiB
2023-12-11T07:48:28.804701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length19.263158
Min length13

Characters and Unicode

Total characters8052
Distinct characters231
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

Unique308 ?
Unique (%)73.7%

Sample

1st row경기도 가평군 상면 물골길 441-129
2nd row경기도 가평군 가평읍 가화로 161
3rd row경기도 가평군 조종면 현창로38번길 16
4th row경기도 가평군 조종면 운악청계로491번길 106
5th row경기도 가평군 조종면 세곡로 5-15
ValueCountFrequency (%)
경기도 418
 
22.0%
안산시 69
 
3.6%
남양주시 44
 
2.3%
단원구 39
 
2.1%
화성시 31
 
1.6%
상록구 30
 
1.6%
성남시 26
 
1.4%
고양시 22
 
1.2%
의정부시 22
 
1.2%
부천시 21
 
1.1%
Other values (628) 1180
62.0%
2023-12-11T07:48:29.184336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1484
18.4%
경 433
 
5.4%
도 433
 
5.4%
기 426
 
5.3%
시 421
 
5.2%
로 371
 
4.6%
1 332
 
4.1%
2 187
 
2.3%
길 180
 
2.2%
3 170
 
2.1%
Other values (221) 3615
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4974
61.8%
Decimal Number 1506
 
18.7%
Space Separator 1484
 
18.4%
Dash Punctuation 88
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 433
 
8.7%
도 433
 
8.7%
기 426
 
8.6%
시 421
 
8.5%
로 371
 
7.5%
길 180
 
3.6%
구 149
 
3.0%
번 129
 
2.6%
양 128
 
2.6%
안 112
 
2.3%
Other values (209) 2192
44.1%
Decimal Number
ValueCountFrequency (%)
1 332
22.0%
2 187
12.4%
3 170
11.3%
4 150
10.0%
6 142
9.4%
8 116
 
7.7%
0 111
 
7.4%
5 100
 
6.6%
7 100
 
6.6%
9 98
 
6.5%
Space Separator
ValueCountFrequency (%)
1484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4974
61.8%
Common 3078
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 433
 
8.7%
도 433
 
8.7%
기 426
 
8.6%
시 421
 
8.5%
로 371
 
7.5%
길 180
 
3.6%
구 149
 
3.0%
번 129
 
2.6%
양 128
 
2.6%
안 112
 
2.3%
Other values (209) 2192
44.1%
Common
ValueCountFrequency (%)
1484
48.2%
1 332
 
10.8%
2 187
 
6.1%
3 170
 
5.5%
4 150
 
4.9%
6 142
 
4.6%
8 116
 
3.8%
0 111
 
3.6%
5 100
 
3.2%
7 100
 
3.2%
Other values (2) 186
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4974
61.8%
ASCII 3078
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1484
48.2%
1 332
 
10.8%
2 187
 
6.1%
3 170
 
5.5%
4 150
 
4.9%
6 142
 
4.6%
8 116
 
3.8%
0 111
 
3.6%
5 100
 
3.2%
7 100
 
3.2%
Other values (2) 186
 
6.0%
Hangul
ValueCountFrequency (%)
경 433
 
8.7%
도 433
 
8.7%
기 426
 
8.6%
시 421
 
8.5%
로 371
 
7.5%
길 180
 
3.6%
구 149
 
3.0%
번 129
 
2.6%
양 128
 
2.6%
안 112
 
2.3%
Other values (209) 2192
44.1%

소재지지번주소
Text

Distinct684
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-11T07:48:29.453810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length20.330798
Min length10

Characters and Unicode

Total characters16041
Distinct characters308
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

Unique607 ?
Unique (%)76.9%

Sample

1st row경기도 가평군 상면 연하리 171-1번지
2nd row경기도 가평군 상면 봉수리 123-4번지
3rd row경기도 가평군 가평읍 읍내리 625-8번지
4th row경기도 가평군 가평읍 읍내리
5th row경기도 가평군 청평면 청평리
ValueCountFrequency (%)
경기도 789
 
21.8%
남양주시 91
 
2.5%
안산시 83
 
2.3%
화성시 56
 
1.5%
평택시 45
 
1.2%
성남시 43
 
1.2%
단원구 42
 
1.2%
상록구 41
 
1.1%
고양시 39
 
1.1%
부천시 33
 
0.9%
Other values (1102) 2363
65.2%
2023-12-11T07:48:29.863251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2840
 
17.7%
도 819
 
5.1%
기 803
 
5.0%
경 796
 
5.0%
시 779
 
4.9%
동 645
 
4.0%
지 470
 
2.9%
1 412
 
2.6%
번 409
 
2.5%
0 312
 
1.9%
Other values (298) 7756
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10492
65.4%
Space Separator 2840
 
17.7%
Decimal Number 2341
 
14.6%
Dash Punctuation 293
 
1.8%
Other Punctuation 44
 
0.3%
Uppercase Letter 16
 
0.1%
Math Symbol 10
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 819
 
7.8%
기 803
 
7.7%
경 796
 
7.6%
시 779
 
7.4%
동 645
 
6.1%
지 470
 
4.5%
번 409
 
3.9%
양 262
 
2.5%
구 243
 
2.3%
리 242
 
2.3%
Other values (267) 5024
47.9%
Uppercase Letter
ValueCountFrequency (%)
B 5
31.2%
D 1
 
6.2%
W 1
 
6.2%
S 1
 
6.2%
G 1
 
6.2%
R 1
 
6.2%
E 1
 
6.2%
O 1
 
6.2%
T 1
 
6.2%
Y 1
 
6.2%
Other values (2) 2
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 412
17.6%
0 312
13.3%
2 287
12.3%
3 275
11.7%
5 225
9.6%
4 219
9.4%
6 191
8.2%
7 179
7.6%
8 140
 
6.0%
9 101
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 42
95.5%
@ 1
 
2.3%
. 1
 
2.3%
Space Separator
ValueCountFrequency (%)
2840
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 293
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10492
65.4%
Common 5532
34.5%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 819
 
7.8%
기 803
 
7.7%
경 796
 
7.6%
시 779
 
7.4%
동 645
 
6.1%
지 470
 
4.5%
번 409
 
3.9%
양 262
 
2.5%
구 243
 
2.3%
리 242
 
2.3%
Other values (267) 5024
47.9%
Common
ValueCountFrequency (%)
2840
51.3%
1 412
 
7.4%
0 312
 
5.6%
- 293
 
5.3%
2 287
 
5.2%
3 275
 
5.0%
5 225
 
4.1%
4 219
 
4.0%
6 191
 
3.5%
7 179
 
3.2%
Other values (8) 299
 
5.4%
Latin
ValueCountFrequency (%)
B 5
29.4%
D 1
 
5.9%
Ⅰ 1
 
5.9%
W 1
 
5.9%
S 1
 
5.9%
G 1
 
5.9%
R 1
 
5.9%
E 1
 
5.9%
O 1
 
5.9%
T 1
 
5.9%
Other values (3) 3
17.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10492
65.4%
ASCII 5548
34.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2840
51.2%
1 412
 
7.4%
0 312
 
5.6%
- 293
 
5.3%
2 287
 
5.2%
3 275
 
5.0%
5 225
 
4.1%
4 219
 
3.9%
6 191
 
3.4%
7 179
 
3.2%
Other values (20) 315
 
5.7%
Hangul
ValueCountFrequency (%)
도 819
 
7.8%
기 803
 
7.7%
경 796
 
7.6%
시 779
 
7.4%
동 645
 
6.1%
지 470
 
4.5%
번 409
 
3.9%
양 262
 
2.5%
구 243
 
2.3%
리 242
 
2.3%
Other values (267) 5024
47.9%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct374
Distinct (%)76.0%
Missing297
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean13943.11
Minimum10013
Maximum18625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2023-12-11T07:48:29.997916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10013
5-th percentile10367.55
Q111941.75
median13426
Q315481.25
95-th percentile18369.2
Maximum18625
Range8612
Interquartile range (IQR)3539.5

Descriptive statistics

Standard deviation2508.4271
Coefficient of variation (CV)0.17990442
Kurtosis-1.0301509
Mean13943.11
Median Absolute Deviation (MAD)1885
Skewness0.35796866
Sum6860010
Variance6292206.6
MonotonicityNot monotonic
2023-12-11T07:48:30.122530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15445 6
 
0.8%
15455 6
 
0.8%
15495 5
 
0.6%
15477 5
 
0.6%
12036 5
 
0.6%
12223 5
 
0.6%
10265 4
 
0.5%
12984 4
 
0.5%
15291 4
 
0.5%
15462 4
 
0.5%
Other values (364) 444
56.3%
(Missing) 297
37.6%
ValueCountFrequency (%)
10013 1
0.1%
10024 1
0.1%
10026 1
0.1%
10029 1
0.1%
10045 1
0.1%
10059 1
0.1%
10083 1
0.1%
10097 1
0.1%
10101 1
0.1%
10110 1
0.1%
ValueCountFrequency (%)
18625 2
0.3%
18593 1
0.1%
18577 2
0.3%
18566 1
0.1%
18562 1
0.1%
18556 1
0.1%
18555 2
0.3%
18537 1
0.1%
18516 1
0.1%
18458 2
0.3%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct394
Distinct (%)85.3%
Missing327
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean37.472497
Minimum36.957772
Maximum38.158137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2023-12-11T07:48:30.242954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.957772
5-th percentile37.083482
Q137.308853
median37.448682
Q337.659726
95-th percentile37.869336
Maximum38.158137
Range1.2003644
Interquartile range (IQR)0.35087352

Descriptive statistics

Standard deviation0.23615193
Coefficient of variation (CV)0.0063020066
Kurtosis-0.55468907
Mean37.472497
Median Absolute Deviation (MAD)0.17872619
Skewness0.048407654
Sum17312.294
Variance0.055767732
MonotonicityNot monotonic
2023-12-11T07:48:30.398740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3146391178 4
 
0.5%
37.712891742 4
 
0.5%
37.4400172636 3
 
0.4%
37.2347090572 3
 
0.4%
37.3262125923 3
 
0.4%
37.6597264793 3
 
0.4%
37.4456659599 3
 
0.4%
37.5464866327 3
 
0.4%
37.3070838716 3
 
0.4%
37.3070232179 3
 
0.4%
Other values (384) 430
54.5%
(Missing) 327
41.4%
ValueCountFrequency (%)
36.9577722927 1
0.1%
36.9624819774 1
0.1%
36.9765492396 1
0.1%
36.9855717088 1
0.1%
36.9878840863 1
0.1%
36.9883440203 1
0.1%
36.9910415011 1
0.1%
36.9929723172 1
0.1%
36.9934162346 1
0.1%
36.9956290806 1
0.1%
ValueCountFrequency (%)
38.1581367057 1
0.1%
38.1035057227 1
0.1%
38.0609177862 1
0.1%
38.0443737368 1
0.1%
37.934486393 1
0.1%
37.9092819445 1
0.1%
37.9081162039 1
0.1%
37.9075050576 2
0.3%
37.9066500233 1
0.1%
37.9056175118 1
0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct394
Distinct (%)85.3%
Missing327
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean127.01788
Minimum126.53595
Maximum127.69419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2023-12-11T07:48:30.775440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53595
5-th percentile126.74382
Q1126.83318
median127.0359
Q3127.15172
95-th percentile127.4432
Maximum127.69419
Range1.1582428
Interquartile range (IQR)0.31854276

Descriptive statistics

Standard deviation0.21906083
Coefficient of variation (CV)0.0017246457
Kurtosis0.082720129
Mean127.01788
Median Absolute Deviation (MAD)0.17019519
Skewness0.59145435
Sum58682.26
Variance0.047987649
MonotonicityNot monotonic
2023-12-11T07:48:30.914725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8326271927 4
 
0.5%
126.8738410766 4
 
0.5%
127.1662253043 3
 
0.4%
127.0614307796 3
 
0.4%
126.8059548544 3
 
0.4%
127.2476121031 3
 
0.4%
126.7990420597 3
 
0.4%
127.1860487552 3
 
0.4%
126.8501395332 3
 
0.4%
126.8473076919 3
 
0.4%
Other values (384) 430
54.5%
(Missing) 327
41.4%
ValueCountFrequency (%)
126.535947134 1
0.1%
126.5428857821 1
0.1%
126.5701530685 1
0.1%
126.5834935652 1
0.1%
126.6004983785 1
0.1%
126.605329528 1
0.1%
126.6228753128 1
0.1%
126.6622651338 1
0.1%
126.6683606272 1
0.1%
126.7044811028 1
0.1%
ValueCountFrequency (%)
127.6941899605 1
0.1%
127.6592664357 1
0.1%
127.6329799045 1
0.1%
127.6206891061 1
0.1%
127.6205240208 1
0.1%
127.6182045695 1
0.1%
127.6125654228 1
0.1%
127.6003537635 1
0.1%
127.5607544941 1
0.1%
127.5595337932 1
0.1%

Interactions

2023-12-11T07:48:24.914015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:20.435082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:21.116189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:21.831341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:22.555015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:23.261179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:23.952115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:25.045726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:20.517289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:21.212604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:21.932918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:22.645144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:23.366339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:24.297687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:25.162726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:20.616299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:21.310479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:22.048434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:22.754755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:23.464370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:24.386791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:25.298822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:20.709581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:21.412404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:22.139217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:22.843790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:23.566923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:24.495462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:25.412711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:20.792388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:21.546232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:22.224524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:22.933640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:23.678682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:24.591872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:25.525203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:20.901796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:21.635378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:22.323949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:23.035392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:23.764284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:24.680440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:25.641569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:21.024976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:21.725360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:22.436292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:23.141829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:23.866075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:24.783155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:48:31.022492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명인허가일자영업상태명입소정원(명)자격소유인원수(명)총인원수(명)소재지우편번호WGS84위도WGS84경도
시군명1.0000.6520.1980.4280.2240.0000.9970.9730.948
인허가일자0.6521.0000.1250.3600.3050.0000.4360.3660.179
영업상태명0.1980.1251.0000.0000.0000.0000.0000.0000.110
입소정원(명)0.4280.3600.0001.0000.4700.2710.2040.0000.000
자격소유인원수(명)0.2240.3050.0000.4701.0000.6830.0000.0870.173
총인원수(명)0.0000.0000.0000.2710.6831.0000.0000.3940.000
소재지우편번호0.9970.4360.0000.2040.0000.0001.0000.9060.846
WGS84위도0.9730.3660.0000.0000.0870.3940.9061.0000.635
WGS84경도0.9480.1790.1100.0000.1730.0000.8460.6351.000
2023-12-11T07:48:31.129654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태명시군명
영업상태명1.0000.165
시군명0.1651.000
2023-12-11T07:48:31.209446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자입소정원(명)자격소유인원수(명)총인원수(명)소재지우편번호WGS84위도WGS84경도시군명영업상태명
인허가일자1.000-0.0930.211-0.116-0.0140.058-0.0400.2640.096
입소정원(명)-0.0931.0000.0700.0550.056-0.0440.0290.1790.000
자격소유인원수(명)0.2110.0701.0000.389-0.0700.0770.1680.1090.000
총인원수(명)-0.1160.0550.3891.000-0.1190.1460.1390.0000.000
소재지우편번호-0.0140.056-0.070-0.1191.000-0.916-0.0720.8900.000
WGS84위도0.058-0.0440.0770.146-0.9161.0000.1000.7310.000
WGS84경도-0.0400.0290.1680.139-0.0720.1001.0000.6460.083
시군명0.2640.1790.1090.0000.8900.7310.6461.0000.165
영업상태명0.0960.0000.0000.0000.0000.0000.0830.1651.000

Missing values

2023-12-11T07:48:25.811108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:48:25.995105image/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.
2023-12-11T07:48:26.205264image/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

시군명사업장명인허가일자영업상태명입소정원(명)자격소유인원수(명)총인원수(명)소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0가평군상면 다솜재가서비스센터20081015운영중1544<NA>경기도 가평군 상면 연하리 171-1번지1244437.805007127.357672
1가평군한마음가정봉사원파견센터20091230운영중56012경기도 가평군 상면 물골길 441-129경기도 가평군 상면 봉수리 123-4번지1244037.852536127.287969
2가평군가평군노인복지관 재가서비스센터20061221운영중2027경기도 가평군 가평읍 가화로 161경기도 가평군 가평읍 읍내리 625-8번지1241337.833628127.511205
3가평군가평군노인복지관 재가노인복지센터20120119운영중206<NA><NA>경기도 가평군 가평읍 읍내리<NA><NA><NA>
4가평군청평면재가노인복지센터20120119운영중155<NA><NA>경기도 가평군 청평면 청평리<NA><NA><NA>
5가평군청평면다솜재가서비스센터20061221운영중1534<NA>경기도 가평군 청평면 청평리 432-15번지1245237.73863127.421244
6가평군봄날노인복지센터20100202운영중<NA>5<NA>경기도 가평군 조종면 현창로38번길 16경기도 가평군 하면 현리 262-49번지1243737.819589127.349271
7가평군상면재가노인복지센터20120119운영중1523<NA>경기도 가평군 상면 연하리<NA><NA><NA>
8가평군가평가정봉사원파견센터20091230운영중801718경기도 가평군 조종면 운악청계로491번길 106경기도 가평군 하면 신상리 518-5번지1243437.854079127.346961
9가평군신애원 노인복지센터20080618운영중044경기도 가평군 조종면 세곡로 5-15경기도 가평군 하면 현리 120-5번지1243537.829326127.344808
시군명사업장명인허가일자영업상태명입소정원(명)자격소유인원수(명)총인원수(명)소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
779화성시노인복지센터 에벤에셀20121005운영중<NA>99<NA>경기도 화성시 봉담읍<NA><NA><NA>
780화성시화성시남부노인복지관 주간보호센터20081118운영중0<NA>2<NA>경기도 화성시 향남읍 행정리 산 11번지<NA>37.12814126.9366
781화성시복있는사람노인재가복지센터20110715운영중0<NA>6<NA>경기도 화성시 비봉면<NA><NA><NA>
782화성시동탄노인복지센터20100816운영중3013경기도 화성시 10용사로 661-69경기도 화성시 반송동 236번지1845837.189896127.082635
783화성시봉담 노인주간재활센터20100223운영중9<NA>4경기도 화성시 봉담읍 동화새터길 109경기도 화성시 봉담읍 동화리 614번지1830137.21706126.96112
784화성시미리내 재가복지센터20091224운영중8055경기도 화성시 서신면 매화2길 2경기도 화성시 서신면 매화리 365-1번지1855537.168787126.704481
785화성시해피하우스 주.야간보호센터20091228운영중912경기도 화성시 영통로61번길 11경기도 화성시 반월동 869-4번지1837837.234709127.061431
786화성시소망의동산 부설재가노인복지센터20150924운영중15<NA><NA><NA>경기도 화성시 봉담읍 분천리<NA><NA><NA>
787화성시美선노인복지센터20151221운영중35<NA><NA><NA>경기도 화성시 봉담읍<NA><NA><NA>
788화성시정남노인복지센타20090406운영중2900경기도 화성시 정남면 만년로 565-7경기도 화성시 정남면 괘랑리 917-11번지1851637.171483126.982722