Overview

Dataset statistics

Number of variables16
Number of observations4980
Missing cells63961
Missing cells (%)80.3%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory661.5 KiB
Average record size in memory136.0 B

Variable types

Categorical3
Text5
Unsupported8

Dataset

Description부천시 관내 노인(요양)복지시설에 대한 데이터로 시설 유형, 시설 종류, 시설명, 전화번호, 시설소재지(도로명), 전화번호, 운영 주체(개인,법인) 등의 자료를 제공합니다.
Author경기도 부천시
URLhttps://www.data.go.kr/data/15051022/fileData.do

Alerts

Unnamed: 6 has constant value ""Constant
Unnamed: 15 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
시설유형 is highly overall correlated with 시설종류High correlation
시설종류 is highly overall correlated with 시설유형High correlation
시설유형 is highly imbalanced (82.6%)Imbalance
시설종류 is highly imbalanced (83.9%)Imbalance
운영주체 is highly imbalanced (84.0%)Imbalance
시설명 has 4721 (94.8%) missing valuesMissing
전화번호 has 4721 (94.8%) missing valuesMissing
시설소재지 주소 has 4721 (94.8%) missing valuesMissing
Unnamed: 6 has 4979 (> 99.9%) missing valuesMissing
Unnamed: 7 has 4980 (100.0%) missing valuesMissing
Unnamed: 8 has 4980 (100.0%) missing valuesMissing
Unnamed: 9 has 4980 (100.0%) missing valuesMissing
Unnamed: 10 has 4980 (100.0%) missing valuesMissing
Unnamed: 11 has 4980 (100.0%) missing valuesMissing
Unnamed: 12 has 4980 (100.0%) missing valuesMissing
Unnamed: 13 has 4980 (100.0%) missing valuesMissing
Unnamed: 14 has 4980 (100.0%) missing valuesMissing
Unnamed: 15 has 4979 (> 99.9%) missing valuesMissing
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 15:13:23.701174
Analysis finished2023-12-12 15:13:24.944885
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.0 KiB
<NA>
4721 
노인의료복지시설
 
137
재가노인복지시설
 
121
노인주거복지시설
 
1

Length

Max length8
Median length4
Mean length4.2080321
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row노인주거복지시설
2nd row노인의료복지시설
3rd row노인의료복지시설
4th row노인의료복지시설
5th row노인의료복지시설

Common Values

ValueCountFrequency (%)
<NA> 4721
94.8%
노인의료복지시설 137
 
2.8%
재가노인복지시설 121
 
2.4%
노인주거복지시설 1
 
< 0.1%

Length

2023-12-13T00:13:25.024889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:25.182510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4721
94.8%
노인의료복지시설 137
 
2.8%
재가노인복지시설 121
 
2.4%
노인주거복지시설 1
 
< 0.1%

시설종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.0 KiB
<NA>
4721 
재가급여제공 장기요양기관
 
121
노인요양시설
 
93
노인요양공동생활가정
 
44
노인공동생활가정
 
1

Length

Max length13
Median length4
Mean length4.3098394
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row노인공동생활가정
2nd row노인요양시설
3rd row노인요양시설
4th row노인요양시설
5th row노인요양시설

Common Values

ValueCountFrequency (%)
<NA> 4721
94.8%
재가급여제공 장기요양기관 121
 
2.4%
노인요양시설 93
 
1.9%
노인요양공동생활가정 44
 
0.9%
노인공동생활가정 1
 
< 0.1%

Length

2023-12-13T00:13:25.294018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:25.415201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4721
92.6%
재가급여제공 121
 
2.4%
장기요양기관 121
 
2.4%
노인요양시설 93
 
1.8%
노인요양공동생활가정 44
 
0.9%
노인공동생활가정 1
 
< 0.1%

시설명
Text

MISSING 

Distinct259
Distinct (%)100.0%
Missing4721
Missing (%)94.8%
Memory size39.0 KiB
2023-12-13T00:13:25.647152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.5057915
Min length4

Characters and Unicode

Total characters2203
Distinct characters260
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

Unique259 ?
Unique (%)100.0%

Sample

1st row엠마우스커뮤니티홈
2nd row그린휴요양원
3rd row소나무노인전문요양원
4th row가은요양원
5th row부모섬김
ValueCountFrequency (%)
요양원 5
 
1.6%
중동점 3
 
1.0%
부천 3
 
1.0%
노인요양공동생활가정 3
 
1.0%
재가복지센터 3
 
1.0%
까치울요양원 3
 
1.0%
가족애요양원 2
 
0.7%
차오름 2
 
0.7%
주야간보호센터 2
 
0.7%
부천요양원 2
 
0.7%
Other values (274) 277
90.8%
2023-12-13T00:13:26.100295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
요 146
 
6.6%
양 146
 
6.6%
원 126
 
5.7%
터 117
 
5.3%
센 116
 
5.3%
가 79
 
3.6%
복 70
 
3.2%
재 59
 
2.7%
지 58
 
2.6%
호 53
 
2.4%
Other values (250) 1233
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2103
95.5%
Space Separator 46
 
2.1%
Decimal Number 35
 
1.6%
Uppercase Letter 7
 
0.3%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 146
 
6.9%
양 146
 
6.9%
원 126
 
6.0%
터 117
 
5.6%
센 116
 
5.5%
가 79
 
3.8%
복 70
 
3.3%
재 59
 
2.8%
지 58
 
2.8%
호 53
 
2.5%
Other values (232) 1133
53.9%
Decimal Number
ValueCountFrequency (%)
2 11
31.4%
1 10
28.6%
3 5
14.3%
0 4
 
11.4%
6 2
 
5.7%
5 2
 
5.7%
4 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
J 1
14.3%
Y 1
14.3%
P 1
14.3%
I 1
14.3%
V 1
14.3%
Space Separator
ValueCountFrequency (%)
46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2103
95.5%
Common 93
 
4.2%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 146
 
6.9%
양 146
 
6.9%
원 126
 
6.0%
터 117
 
5.6%
센 116
 
5.5%
가 79
 
3.8%
복 70
 
3.3%
재 59
 
2.8%
지 58
 
2.8%
호 53
 
2.5%
Other values (232) 1133
53.9%
Common
ValueCountFrequency (%)
46
49.5%
2 11
 
11.8%
1 10
 
10.8%
( 5
 
5.4%
) 5
 
5.4%
3 5
 
5.4%
0 4
 
4.3%
6 2
 
2.2%
5 2
 
2.2%
. 1
 
1.1%
Other values (2) 2
 
2.2%
Latin
ValueCountFrequency (%)
A 2
28.6%
J 1
14.3%
Y 1
14.3%
P 1
14.3%
I 1
14.3%
V 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2103
95.5%
ASCII 100
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
요 146
 
6.9%
양 146
 
6.9%
원 126
 
6.0%
터 117
 
5.6%
센 116
 
5.5%
가 79
 
3.8%
복 70
 
3.3%
재 59
 
2.8%
지 58
 
2.8%
호 53
 
2.5%
Other values (232) 1133
53.9%
ASCII
ValueCountFrequency (%)
46
46.0%
2 11
 
11.0%
1 10
 
10.0%
( 5
 
5.0%
) 5
 
5.0%
3 5
 
5.0%
0 4
 
4.0%
6 2
 
2.0%
5 2
 
2.0%
A 2
 
2.0%
Other values (8) 8
 
8.0%

전화번호
Text

MISSING 

Distinct246
Distinct (%)95.0%
Missing4721
Missing (%)94.8%
Memory size39.0 KiB
2023-12-13T00:13:26.383685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.03861
Min length12

Characters and Unicode

Total characters3118
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

Unique234 ?
Unique (%)90.3%

Sample

1st row032-614-5200
2nd row032-324-5245
3rd row032-326-6110
4th row032-329-5577
5th row032-679-0116
ValueCountFrequency (%)
032-721-4003 3
 
1.2%
032-328-4582 2
 
0.8%
032-663-3993 2
 
0.8%
032-322-3235 2
 
0.8%
032-324-1100 2
 
0.8%
032-663-4450 2
 
0.8%
032-673-8535 2
 
0.8%
032-346-1616 2
 
0.8%
032-323-7276 2
 
0.8%
032-328-2211 2
 
0.8%
Other values (236) 238
91.9%
2023-12-13T00:13:26.841891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 518
16.6%
3 503
16.1%
2 489
15.7%
0 439
14.1%
6 252
8.1%
1 195
 
6.3%
7 185
 
5.9%
5 179
 
5.7%
4 140
 
4.5%
8 119
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2600
83.4%
Dash Punctuation 518
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 503
19.3%
2 489
18.8%
0 439
16.9%
6 252
9.7%
1 195
 
7.5%
7 185
 
7.1%
5 179
 
6.9%
4 140
 
5.4%
8 119
 
4.6%
9 99
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 518
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3118
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 518
16.6%
3 503
16.1%
2 489
15.7%
0 439
14.1%
6 252
8.1%
1 195
 
6.3%
7 185
 
5.9%
5 179
 
5.7%
4 140
 
4.5%
8 119
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3118
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 518
16.6%
3 503
16.1%
2 489
15.7%
0 439
14.1%
6 252
8.1%
1 195
 
6.3%
7 185
 
5.9%
5 179
 
5.7%
4 140
 
4.5%
8 119
 
3.8%

시설소재지 주소
Text

MISSING 

Distinct247
Distinct (%)95.4%
Missing4721
Missing (%)94.8%
Memory size39.0 KiB
2023-12-13T00:13:27.187700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length31.710425
Min length19

Characters and Unicode

Total characters8213
Distinct characters204
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)91.1%

Sample

1st row경기도 부천시 부천로80번길 45 (심곡동. 엠마우스커뮤니티홈)
2nd row경기도 부천시 길주로 315. 2동 6층 601호 (중동. 뉴월드타운)
3rd row경기도 부천시 소향로13번길 20. 2.3층 (상동)
4th row경기도 부천시 부일로 123. 2.3.4.5층 (상동. 그린프라자3)
5th row경기도 부천시 수도로 71-1 (삼정동)
ValueCountFrequency (%)
부천시 261
 
15.2%
경기도 260
 
15.1%
상동 54
 
3.1%
중동 32
 
1.9%
2층 31
 
1.8%
1층 27
 
1.6%
심곡동 26
 
1.5%
괴안동 25
 
1.5%
5층 24
 
1.4%
4층 20
 
1.2%
Other values (474) 960
55.8%
2023-12-13T00:13:27.682075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1462
 
17.8%
. 411
 
5.0%
부 328
 
4.0%
동 301
 
3.7%
천 291
 
3.5%
경 281
 
3.4%
도 272
 
3.3%
1 269
 
3.3%
로 264
 
3.2%
시 263
 
3.2%
Other values (194) 4071
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4263
51.9%
Decimal Number 1505
 
18.3%
Space Separator 1462
 
17.8%
Other Punctuation 411
 
5.0%
Open Punctuation 261
 
3.2%
Close Punctuation 261
 
3.2%
Dash Punctuation 35
 
0.4%
Uppercase Letter 8
 
0.1%
Math Symbol 5
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 328
 
7.7%
동 301
 
7.1%
천 291
 
6.8%
경 281
 
6.6%
도 272
 
6.4%
로 264
 
6.2%
시 263
 
6.2%
기 260
 
6.1%
층 178
 
4.2%
길 130
 
3.0%
Other values (172) 1695
39.8%
Decimal Number
ValueCountFrequency (%)
1 269
17.9%
3 208
13.8%
2 208
13.8%
0 186
12.4%
4 140
9.3%
5 136
9.0%
7 122
8.1%
6 102
 
6.8%
8 73
 
4.9%
9 61
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
37.5%
C 2
25.0%
Y 1
 
12.5%
R 1
 
12.5%
A 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1462
100.0%
Other Punctuation
ValueCountFrequency (%)
. 411
100.0%
Open Punctuation
ValueCountFrequency (%)
( 261
100.0%
Close Punctuation
ValueCountFrequency (%)
) 261
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4263
51.9%
Common 3940
48.0%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 328
 
7.7%
동 301
 
7.1%
천 291
 
6.8%
경 281
 
6.6%
도 272
 
6.4%
로 264
 
6.2%
시 263
 
6.2%
기 260
 
6.1%
층 178
 
4.2%
길 130
 
3.0%
Other values (172) 1695
39.8%
Common
ValueCountFrequency (%)
1462
37.1%
. 411
 
10.4%
1 269
 
6.8%
( 261
 
6.6%
) 261
 
6.6%
3 208
 
5.3%
2 208
 
5.3%
0 186
 
4.7%
4 140
 
3.6%
5 136
 
3.5%
Other values (6) 398
 
10.1%
Latin
ValueCountFrequency (%)
B 3
30.0%
c 2
20.0%
C 2
20.0%
Y 1
 
10.0%
R 1
 
10.0%
A 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4263
51.9%
ASCII 3950
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1462
37.0%
. 411
 
10.4%
1 269
 
6.8%
( 261
 
6.6%
) 261
 
6.6%
3 208
 
5.3%
2 208
 
5.3%
0 186
 
4.7%
4 140
 
3.5%
5 136
 
3.4%
Other values (12) 408
 
10.3%
Hangul
ValueCountFrequency (%)
부 328
 
7.7%
동 301
 
7.1%
천 291
 
6.8%
경 281
 
6.6%
도 272
 
6.4%
로 264
 
6.2%
시 263
 
6.2%
기 260
 
6.1%
층 178
 
4.2%
길 130
 
3.0%
Other values (172) 1695
39.8%

운영주체
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.0 KiB
<NA>
4721 
개인
 
234
법인
 
23
지방자치단체
 
2

Length

Max length6
Median length4
Mean length3.8975904
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row개인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
<NA> 4721
94.8%
개인 234
 
4.7%
법인 23
 
0.5%
지방자치단체 2
 
< 0.1%

Length

2023-12-13T00:13:27.854285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:27.985414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4721
94.8%
개인 234
 
4.7%
법인 23
 
0.5%
지방자치단체 2
 
< 0.1%

Unnamed: 6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing4979
Missing (%)> 99.9%
Memory size39.0 KiB
2023-12-13T00:13:28.115250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
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

Unique1 ?
Unique (%)100.0%

Sample

1st row종사자
ValueCountFrequency (%)
종사자 1
100.0%
2023-12-13T00:13:28.361449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
종 1
33.3%
사 1
33.3%
자 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 1
33.3%
사 1
33.3%
자 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 1
33.3%
사 1
33.3%
자 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
종 1
33.3%
사 1
33.3%
자 1
33.3%

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4980
Missing (%)100.0%
Memory size43.9 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4980
Missing (%)100.0%
Memory size43.9 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4980
Missing (%)100.0%
Memory size43.9 KiB

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4980
Missing (%)100.0%
Memory size43.9 KiB

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4980
Missing (%)100.0%
Memory size43.9 KiB

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4980
Missing (%)100.0%
Memory size43.9 KiB

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4980
Missing (%)100.0%
Memory size43.9 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4980
Missing (%)100.0%
Memory size43.9 KiB

Unnamed: 15
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing4979
Missing (%)> 99.9%
Memory size39.0 KiB
2023-12-13T00:13:28.520229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters8
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

Unique1 ?
Unique (%)100.0%

Sample

1st row팍스로비드 처방
ValueCountFrequency (%)
팍스로비드 1
50.0%
처방 1
50.0%
2023-12-13T00:13:28.821575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
팍 1
12.5%
스 1
12.5%
로 1
12.5%
비 1
12.5%
드 1
12.5%
1
12.5%
처 1
12.5%
방 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
87.5%
Space Separator 1
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
팍 1
14.3%
스 1
14.3%
로 1
14.3%
비 1
14.3%
드 1
14.3%
처 1
14.3%
방 1
14.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
87.5%
Common 1
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
팍 1
14.3%
스 1
14.3%
로 1
14.3%
비 1
14.3%
드 1
14.3%
처 1
14.3%
방 1
14.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
87.5%
ASCII 1
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
팍 1
14.3%
스 1
14.3%
로 1
14.3%
비 1
14.3%
드 1
14.3%
처 1
14.3%
방 1
14.3%
ASCII
ValueCountFrequency (%)
1
100.0%

Correlations

2023-12-13T00:13:28.903768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형시설종류운영주체
시설유형1.0001.0000.393
시설종류1.0001.0000.156
운영주체0.3930.1561.000
2023-12-13T00:13:28.985246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영주체시설유형시설종류
운영주체1.0000.1430.147
시설유형0.1431.0000.998
시설종류0.1470.9981.000
2023-12-13T00:13:29.067501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형시설종류운영주체
시설유형1.0000.9980.143
시설종류0.9981.0000.147
운영주체0.1430.1471.000

Missing values

2023-12-13T00:13:24.386506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:13:24.656701image/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.
2023-12-13T00:13:24.844015image/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

시설유형시설종류시설명전화번호시설소재지 주소운영주체Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15
0노인주거복지시설노인공동생활가정엠마우스커뮤니티홈032-614-5200경기도 부천시 부천로80번길 45 (심곡동. 엠마우스커뮤니티홈)법인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1노인의료복지시설노인요양시설그린휴요양원032-324-5245경기도 부천시 길주로 315. 2동 6층 601호 (중동. 뉴월드타운)개인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2노인의료복지시설노인요양시설소나무노인전문요양원032-326-6110경기도 부천시 소향로13번길 20. 2.3층 (상동)개인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3노인의료복지시설노인요양시설가은요양원032-329-5577경기도 부천시 부일로 123. 2.3.4.5층 (상동. 그린프라자3)개인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4노인의료복지시설노인요양시설부모섬김032-679-0116경기도 부천시 수도로 71-1 (삼정동)개인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5노인의료복지시설노인요양시설사랑채요양원032-677-0492경기도 부천시 고리울로51번길 34 (고강동. 고강빌딩 301.302.402호)개인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6노인의료복지시설노인요양시설다정요양원032-652-8500경기도 부천시 부일로 376 (중동)개인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7노인의료복지시설노인요양시설가족실버타운032-675-8879경기도 부천시 길주로363번길 24 (춘의동)개인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8노인의료복지시설노인요양시설현대요양원032-328-1057경기도 부천시 석천로177번길 39. 8층 (중동. 미라클타워)개인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9노인의료복지시설노인요양시설효드림요양원032-345-3545경기도 부천시 양지로40번길 17. 5층 (괴안동)개인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시설유형시설종류시설명전화번호시설소재지 주소운영주체Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15
4970<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4971<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4972<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4973<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4974<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4975<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4977<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4978<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4979<NA><NA><NA><NA><NA><NA>종사자<NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시설유형시설종류시설명전화번호시설소재지 주소운영주체Unnamed: 6Unnamed: 15# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA>4719