Overview

Dataset statistics

Number of variables27
Number of observations238
Missing cells778
Missing cells (%)12.1%
Duplicate rows1
Duplicate rows (%)0.4%
Total size in memory50.3 KiB
Average record size in memory216.6 B

Variable types

Unsupported20
Categorical2
Text5

Dataset

Description서울특별시 노인의료복지시설 현황 자료로 노인요양시설, 노인요양공동생활가정의 기관명칭, 설립구분, 법인명, 지정일, 이용자 정원 및 현원 , 종사자 현원, 기관 전화번호, 주소 등을 포함하고 있습니다.
Author서울특별시
URLhttps://www.data.go.kr/data/15112128/fileData.do

Alerts

Unnamed: 26 has constant value ""Constant
Dataset has 1 (0.4%) duplicate rowsDuplicates
Unnamed: 2 has 3 (1.3%) missing valuesMissing
Unnamed: 5 has 137 (57.6%) missing valuesMissing
Unnamed: 6 has 216 (90.8%) missing valuesMissing
Unnamed: 11 has 3 (1.3%) missing valuesMissing
Unnamed: 15 has 17 (7.1%) missing valuesMissing
Unnamed: 16 has 62 (26.1%) missing valuesMissing
Unnamed: 20 has 29 (12.2%) missing valuesMissing
Unnamed: 22 has 28 (11.8%) missing valuesMissing
Unnamed: 23 has 20 (8.4%) missing valuesMissing
Unnamed: 26 has 237 (99.6%) missing valuesMissing
노인요양시설 현황(2022.12.31.기준) is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 23 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 24 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 12:34:11.545104
Analysis finished2023-12-12 12:34:12.133680
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노인요양시설 현황(2022.12.31.기준)
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 1
Categorical

Distinct28
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
도봉구
22 
강서구
21 
성북구
18 
은평구
16 
금천구
 
13
Other values (23)
148 

Length

Max length6
Median length3
Mean length3.0882353
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row관할 자치구
3rd row<NA>
4th row종로구
5th row종로구

Common Values

ValueCountFrequency (%)
도봉구 22
 
9.2%
강서구 21
 
8.8%
성북구 18
 
7.6%
은평구 16
 
6.7%
금천구 13
 
5.5%
양천구 13
 
5.5%
노원구 11
 
4.6%
구로구 10
 
4.2%
서대문구 10
 
4.2%
중랑구 10
 
4.2%
Other values (18) 94
39.5%

Length

2023-12-12T21:34:12.216685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도봉구 22
 
9.2%
강서구 21
 
8.8%
성북구 18
 
7.5%
은평구 16
 
6.7%
금천구 13
 
5.4%
양천구 13
 
5.4%
노원구 11
 
4.6%
구로구 10
 
4.2%
서대문구 10
 
4.2%
중랑구 10
 
4.2%
Other values (19) 95
39.7%

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)1.3%
Memory size2.0 KiB

Unnamed: 3
Text

Distinct234
Distinct (%)99.2%
Missing2
Missing (%)0.8%
Memory size2.0 KiB
2023-12-12T21:34:12.465618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length8.0084746
Min length3

Characters and Unicode

Total characters1890
Distinct characters264
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique232 ?
Unique (%)98.3%

Sample

1st row기관명칭
2nd row청운노인요양원
3rd row인자인케어센터
4th row평창동시니어센터
5th row아름다운뜰안에 요양원
ValueCountFrequency (%)
요양원 7
 
2.6%
한솔요양원 2
 
0.7%
kb골든라이프케어 2
 
0.7%
빌리지 2
 
0.7%
구립 2
 
0.7%
가족사랑요양원 2
 
0.7%
성암장수마을요양원 1
 
0.4%
구로푸른요양원 1
 
0.4%
수명산요양원 1
 
0.4%
시니어스 1
 
0.4%
Other values (248) 248
92.2%
2023-12-12T21:34:12.963541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 179
 
9.5%
요 176
 
9.3%
원 152
 
8.0%
노 61
 
3.2%
인 58
 
3.1%
터 54
 
2.9%
센 53
 
2.8%
42
 
2.2%
실 40
 
2.1%
어 40
 
2.1%
Other values (254) 1035
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1809
95.7%
Space Separator 42
 
2.2%
Uppercase Letter 11
 
0.6%
Lowercase Letter 8
 
0.4%
Open Punctuation 6
 
0.3%
Close Punctuation 6
 
0.3%
Decimal Number 4
 
0.2%
Math Symbol 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 179
 
9.9%
요 176
 
9.7%
원 152
 
8.4%
노 61
 
3.4%
인 58
 
3.2%
터 54
 
3.0%
센 53
 
2.9%
실 40
 
2.2%
어 40
 
2.2%
버 39
 
2.2%
Other values (235) 957
52.9%
Uppercase Letter
ValueCountFrequency (%)
A 4
36.4%
K 2
18.2%
B 2
18.2%
P 1
 
9.1%
O 1
 
9.1%
T 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
v 2
25.0%
p 1
12.5%
i 1
12.5%
l 1
12.5%
o 1
12.5%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1809
95.7%
Common 62
 
3.3%
Latin 19
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 179
 
9.9%
요 176
 
9.7%
원 152
 
8.4%
노 61
 
3.4%
인 58
 
3.2%
터 54
 
3.0%
센 53
 
2.9%
실 40
 
2.2%
어 40
 
2.2%
버 39
 
2.2%
Other values (235) 957
52.9%
Latin
ValueCountFrequency (%)
A 4
21.1%
K 2
10.5%
B 2
10.5%
e 2
10.5%
v 2
10.5%
P 1
 
5.3%
O 1
 
5.3%
T 1
 
5.3%
p 1
 
5.3%
i 1
 
5.3%
Other values (2) 2
10.5%
Common
ValueCountFrequency (%)
42
67.7%
( 6
 
9.7%
) 6
 
9.7%
+ 3
 
4.8%
1 2
 
3.2%
2 2
 
3.2%
- 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1809
95.7%
ASCII 81
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 179
 
9.9%
요 176
 
9.7%
원 152
 
8.4%
노 61
 
3.4%
인 58
 
3.2%
터 54
 
3.0%
센 53
 
2.9%
실 40
 
2.2%
어 40
 
2.2%
버 39
 
2.2%
Other values (235) 957
52.9%
ASCII
ValueCountFrequency (%)
42
51.9%
( 6
 
7.4%
) 6
 
7.4%
A 4
 
4.9%
+ 3
 
3.7%
K 2
 
2.5%
B 2
 
2.5%
1 2
 
2.5%
2 2
 
2.5%
e 2
 
2.5%
Other values (9) 10
 
12.3%

Unnamed: 4
Categorical

Distinct9
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
개인
141 
비영리법인
42 
구립
21 
영리법인
17 
시립
 
9
Other values (4)
 
8

Length

Max length6
Median length2
Mean length2.7478992
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row설립구분
3rd row<NA>
4th row비영리법인
5th row영리법인

Common Values

ValueCountFrequency (%)
개인 141
59.2%
비영리법인 42
 
17.6%
구립 21
 
8.8%
영리법인 17
 
7.1%
시립 9
 
3.8%
시립병설 4
 
1.7%
<NA> 2
 
0.8%
설립구분 1
 
0.4%
비영리법인 1
 
0.4%

Length

2023-12-12T21:34:13.154460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:34:13.312763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 141
59.2%
비영리법인 43
 
18.1%
구립 21
 
8.8%
영리법인 17
 
7.1%
시립 9
 
3.8%
시립병설 4
 
1.7%
na 2
 
0.8%
설립구분 1
 
0.4%

Unnamed: 5
Text

MISSING 

Distinct96
Distinct (%)95.0%
Missing137
Missing (%)57.6%
Memory size2.0 KiB
2023-12-12T21:34:13.628602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length9.8910891
Min length3

Characters and Unicode

Total characters999
Distinct characters176
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)90.1%

Sample

1st row법인명
2nd row사회복지법인청운양로원
3rd row주식회사 인자인
4th row학교법인 의담학회
5th row사회복지법인 연꽃마을
ValueCountFrequency (%)
사회복지법인 28
 
17.9%
굿피플우리복지재단 4
 
2.6%
주식회사 4
 
2.6%
유지재단 3
 
1.9%
재단법인 3
 
1.9%
사단법인 3
 
1.9%
㈜ 2
 
1.3%
기아대책 2
 
1.3%
다솔 2
 
1.3%
정원종합복지원 2
 
1.3%
Other values (98) 103
66.0%
2023-12-12T21:34:14.598099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 78
 
7.8%
복 74
 
7.4%
회 59
 
5.9%
54
 
5.4%
사 53
 
5.3%
인 53
 
5.3%
단 43
 
4.3%
법 42
 
4.2%
재 40
 
4.0%
원 23
 
2.3%
Other values (166) 480
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 928
92.9%
Space Separator 54
 
5.4%
Other Symbol 9
 
0.9%
Control 3
 
0.3%
Close Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 78
 
8.4%
복 74
 
8.0%
회 59
 
6.4%
사 53
 
5.7%
인 53
 
5.7%
단 43
 
4.6%
법 42
 
4.5%
재 40
 
4.3%
원 23
 
2.5%
한 14
 
1.5%
Other values (159) 449
48.4%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 937
93.8%
Common 60
 
6.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 78
 
8.3%
복 74
 
7.9%
회 59
 
6.3%
사 53
 
5.7%
인 53
 
5.7%
단 43
 
4.6%
법 42
 
4.5%
재 40
 
4.3%
원 23
 
2.5%
한 14
 
1.5%
Other values (160) 458
48.9%
Common
ValueCountFrequency (%)
54
90.0%
3
 
5.0%
) 2
 
3.3%
( 1
 
1.7%
Latin
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 928
92.9%
ASCII 62
 
6.2%
None 9
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 78
 
8.4%
복 74
 
8.0%
회 59
 
6.4%
사 53
 
5.7%
인 53
 
5.7%
단 43
 
4.6%
법 42
 
4.5%
재 40
 
4.3%
원 23
 
2.5%
한 14
 
1.5%
Other values (159) 449
48.4%
ASCII
ValueCountFrequency (%)
54
87.1%
3
 
4.8%
) 2
 
3.2%
K 1
 
1.6%
B 1
 
1.6%
( 1
 
1.6%
None
ValueCountFrequency (%)
㈜ 9
100.0%

Unnamed: 6
Text

MISSING 

Distinct19
Distinct (%)86.4%
Missing216
Missing (%)90.8%
Memory size2.0 KiB
2023-12-12T21:34:14.907802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length24.5
Mean length13.136364
Min length1

Characters and Unicode

Total characters289
Distinct characters92
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)81.8%

Sample

1st row병설시설일경우 母기관의 이름
2nd row구립중구노인요양센터
3rd row남산실버복지센터
4th row-
5th row포근한병원
ValueCountFrequency (%)
4
 
10.8%
병설시설이며 4
 
10.8%
모기관임 4
 
10.8%
효림데이케어센터랑 1
 
2.7%
중앙소규모요양시설(나형)이 1
 
2.7%
방문요양센터랑 1
 
2.7%
중앙소규모요양시설 1
 
2.7%
송파노인종합복지관 1
 
2.7%
국민건강보험공단 1
 
2.7%
관악노인종합복지관 1
 
2.7%
Other values (18) 18
48.6%
2023-12-12T21:34:15.406509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
5.2%
설 13
 
4.5%
관 12
 
4.2%
이 10
 
3.5%
시 10
 
3.5%
노 9
 
3.1%
센 9
 
3.1%
터 9
 
3.1%
인 8
 
2.8%
양 8
 
2.8%
Other values (82) 186
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
88.6%
Space Separator 15
 
5.2%
Other Punctuation 8
 
2.8%
Dash Punctuation 4
 
1.4%
Close Punctuation 3
 
1.0%
Open Punctuation 1
 
0.3%
Control 1
 
0.3%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 13
 
5.1%
관 12
 
4.7%
이 10
 
3.9%
시 10
 
3.9%
노 9
 
3.5%
센 9
 
3.5%
터 9
 
3.5%
인 8
 
3.1%
양 8
 
3.1%
복 7
 
2.7%
Other values (74) 161
62.9%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
, 4
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 256
88.6%
Common 32
 
11.1%
Han 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 13
 
5.1%
관 12
 
4.7%
이 10
 
3.9%
시 10
 
3.9%
노 9
 
3.5%
센 9
 
3.5%
터 9
 
3.5%
인 8
 
3.1%
양 8
 
3.1%
복 7
 
2.7%
Other values (74) 161
62.9%
Common
ValueCountFrequency (%)
15
46.9%
. 4
 
12.5%
, 4
 
12.5%
- 4
 
12.5%
) 3
 
9.4%
( 1
 
3.1%
1
 
3.1%
Han
ValueCountFrequency (%)
母 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 255
88.2%
ASCII 32
 
11.1%
CJK 1
 
0.3%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
46.9%
. 4
 
12.5%
, 4
 
12.5%
- 4
 
12.5%
) 3
 
9.4%
( 1
 
3.1%
1
 
3.1%
Hangul
ValueCountFrequency (%)
설 13
 
5.1%
관 12
 
4.7%
이 10
 
3.9%
시 10
 
3.9%
노 9
 
3.5%
센 9
 
3.5%
터 9
 
3.5%
인 8
 
3.1%
양 8
 
3.1%
복 7
 
2.7%
Other values (73) 160
62.7%
CJK
ValueCountFrequency (%)
母 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Unnamed: 7
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 8
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.4%
Memory size2.0 KiB

Unnamed: 9
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 10
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.4%
Memory size2.0 KiB

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)1.3%
Memory size2.0 KiB

Unnamed: 12
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 13
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.4%
Memory size2.0 KiB

Unnamed: 14
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing17
Missing (%)7.1%
Memory size2.0 KiB

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)26.1%
Memory size2.0 KiB

Unnamed: 17
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.4%
Memory size2.0 KiB

Unnamed: 18
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 19
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)12.2%
Memory size2.0 KiB

Unnamed: 21
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)11.8%
Memory size2.0 KiB

Unnamed: 23
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing20
Missing (%)8.4%
Memory size2.0 KiB

Unnamed: 24
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 25
Text

Distinct234
Distinct (%)99.2%
Missing2
Missing (%)0.8%
Memory size2.0 KiB
2023-12-12T21:34:15.858449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length21.766949
Min length10

Characters and Unicode

Total characters5137
Distinct characters266
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique232 ?
Unique (%)98.3%

Sample

1st row기관소재지 (새주소)
2nd row서울시 종로구 비봉길 76
3rd row서울시종로구평창17길26
4th row서울시 종로구 평창15길 10
5th row서울 종로구 평창21길 70
ValueCountFrequency (%)
서울시 139
 
12.8%
서울특별시 39
 
3.6%
서울 28
 
2.6%
도봉구 22
 
2.0%
강서구 20
 
1.8%
성북구 17
 
1.6%
은평구 13
 
1.2%
양천구 13
 
1.2%
금천구 11
 
1.0%
서대문구 10
 
0.9%
Other values (539) 776
71.3%
2023-12-12T21:34:16.485256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
872
 
17.0%
서 261
 
5.1%
구 243
 
4.7%
로 237
 
4.6%
울 212
 
4.1%
시 200
 
3.9%
1 193
 
3.8%
2 153
 
3.0%
길 128
 
2.5%
3 119
 
2.3%
Other values (256) 2519
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2974
57.9%
Decimal Number 1022
 
19.9%
Space Separator 872
 
17.0%
Close Punctuation 73
 
1.4%
Open Punctuation 73
 
1.4%
Other Punctuation 64
 
1.2%
Dash Punctuation 52
 
1.0%
Math Symbol 6
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 261
 
8.8%
구 243
 
8.2%
로 237
 
8.0%
울 212
 
7.1%
시 200
 
6.7%
길 128
 
4.3%
동 114
 
3.8%
층 61
 
2.1%
강 53
 
1.8%
도 48
 
1.6%
Other values (237) 1417
47.6%
Decimal Number
ValueCountFrequency (%)
1 193
18.9%
2 153
15.0%
3 119
11.6%
4 99
9.7%
5 92
9.0%
0 82
8.0%
6 81
7.9%
8 73
 
7.1%
7 72
 
7.0%
9 58
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 56
87.5%
. 7
 
10.9%
· 1
 
1.6%
Space Separator
ValueCountFrequency (%)
872
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2974
57.9%
Common 2163
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 261
 
8.8%
구 243
 
8.2%
로 237
 
8.0%
울 212
 
7.1%
시 200
 
6.7%
길 128
 
4.3%
동 114
 
3.8%
층 61
 
2.1%
강 53
 
1.8%
도 48
 
1.6%
Other values (237) 1417
47.6%
Common
ValueCountFrequency (%)
872
40.3%
1 193
 
8.9%
2 153
 
7.1%
3 119
 
5.5%
4 99
 
4.6%
5 92
 
4.3%
0 82
 
3.8%
6 81
 
3.7%
8 73
 
3.4%
) 73
 
3.4%
Other values (9) 326
 
15.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2974
57.9%
ASCII 2162
42.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
872
40.3%
1 193
 
8.9%
2 153
 
7.1%
3 119
 
5.5%
4 99
 
4.6%
5 92
 
4.3%
0 82
 
3.8%
6 81
 
3.7%
8 73
 
3.4%
) 73
 
3.4%
Other values (8) 325
 
15.0%
Hangul
ValueCountFrequency (%)
서 261
 
8.8%
구 243
 
8.2%
로 237
 
8.0%
울 212
 
7.1%
시 200
 
6.7%
길 128
 
4.3%
동 114
 
3.8%
층 61
 
2.1%
강 53
 
1.8%
도 48
 
1.6%
Other values (237) 1417
47.6%
None
ValueCountFrequency (%)
· 1
100.0%

Unnamed: 26
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing237
Missing (%)99.6%
Memory size2.0 KiB
2023-12-12T21:34:16.669083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters10
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

Unique1 ?
Unique (%)100.0%

Sample

1st row휴업시설 (미운영)
ValueCountFrequency (%)
휴업시설 1
50.0%
미운영 1
50.0%
2023-12-12T21:34:16.960950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
휴 1
10.0%
업 1
10.0%
시 1
10.0%
설 1
10.0%
1
10.0%
( 1
10.0%
미 1
10.0%
운 1
10.0%
영 1
10.0%
) 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
70.0%
Control 1
 
10.0%
Open Punctuation 1
 
10.0%
Close Punctuation 1
 
10.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 1
14.3%
업 1
14.3%
시 1
14.3%
설 1
14.3%
미 1
14.3%
운 1
14.3%
영 1
14.3%
Control
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
70.0%
Common 3
30.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 1
14.3%
업 1
14.3%
시 1
14.3%
설 1
14.3%
미 1
14.3%
운 1
14.3%
영 1
14.3%
Common
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
70.0%
ASCII 3
30.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
휴 1
14.3%
업 1
14.3%
시 1
14.3%
설 1
14.3%
미 1
14.3%
운 1
14.3%
영 1
14.3%
ASCII
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

Sample

노인요양시설 현황(2022.12.31.기준)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26
0NaN<NA>NaN<NA><NA><NA><NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA>
1연번관할 자치구장기요양기관기호기관명칭설립구분법인명병설시설일경우 母기관의 이름지정일이용자NaN이용현원 구성NaNNaN이용현원 구성NaNNaN대기인원종사자 현원NaNNaNNaNNaNNaNNaN전화기관소재지 (새주소)휴업시설 (미운영)
2NaN<NA>NaN<NA><NA><NA><NA>NaN정원현원계남여계치매비치매NaN현원 계사회복지사요양보호사의사간호요원조리원기타NaN<NA><NA>
31종로구11111000006청운노인요양원비영리법인사회복지법인청운양로원<NA>2008062545414104141383NaN26119020402-3217-0057서울시 종로구 비봉길 76<NA>
42종로구11111000056인자인케어센터영리법인주식회사 인자인<NA>20100701424242537424021029218032402-394-2234서울시종로구평창17길26<NA>
53종로구11111000060평창동시니어센터개인<NA><NA>201011256868681157684523NaN46133150602-391-7936서울시 종로구 평창15길 10<NA>
64종로구11111000068아름다운뜰안에 요양원개인<NA><NA>20110823383838533382711NaN24218020202-396-0461서울 종로구 평창21길 70<NA>
75종로구11111000076서울여자간호대학교 휴먼캐슬비영리법인학교법인 의담학회<NA>20130530383535035351124NaN28217122402-391-8464서울특별시 종로구 평창길318 (평창동)<NA>
86종로구11111000078세검정실버홈개인<NA><NA>2014020623181811718135NaN171101203070-4247-7936서울시 종로구 평창2길 5<NA>
97종로구11111000087해피움시니어스타워(종로점)개인<NA><NA>20150817776969244569960NaN54332146802-1877-5255서울 종로구 홍지문길 29<NA>
노인요양시설 현황(2022.12.31.기준)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26
228226강동구11174000261강일성모노인요양원비영리법인서울가톨릭사회복지회<NA>201512027873739647369457553232245802-426-9663서울특별시 강동구 고덕로476<NA>
229227강동구11174000208대한연세요양원비영리법인대한복지<NA>201302131321121122488112112NaNNaN723480551102-426-1000서울시 강동구 고덕로 421<NA>
230228강동구11174000191강동노인복지관 치매요양원시립병설사회복지법인 이랜드복지재단강동노인종합복지관201003102522223192222011015210111NaN02-426-2041서울시 강동구 동남로 71길 32-5<NA>
231229강동구11174000156성암장수마을요양원비영리법인사회복지법인 성암복지재단<NA>2011011310065651646533327551432144602-489-2081서울시 강동구 구천면로 68길<NA>
232230강동구11174000126그랜드너싱홈개인<NA><NA>201003012020206142020NaNNaN1228NaN1NaN102-472-0998서울시 강동구 양재대로 1465, 마루빌딩 301호<NA>
233231강동구11174000290마더노인요양센터개인<NA><NA>20161209292727522271512020113122102-473-6533서울 강동구 명일로 230 2층 (길동,삼보프리빌)<NA>
234232강동구11174000327강동힐링요양원개인<NA><NA>2022080129282812728199NaN17212111NaN02-485-4701서울시 강동구 천호대로 1240-9<NA>
235233강동구11174000376서울케어링하우스개인<NA><NA>202006267862621646624220NaN53333054802-6428-9088서울 강동구 올림픽로 831(암사동)<NA>
236234강동구11174000386벨포레스트영리법인종근당산업㈜벨포레스트<NA>202109028478782256786414336713431761102-429-1575서울시 강동구 고덕로 463<NA>
237235서울시11159000178서울시립영보노인요양원시립대한불교조계종사회복지재단<NA>20160213836565065655213NaN391232337031-323-5705~6경기도 용인시 처인구 이동읍 이원로483<NA>

Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 25Unnamed: 26# duplicates
0<NA><NA><NA><NA><NA><NA><NA>2