Overview

Dataset statistics

Number of variables5
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory43.1 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description인천광역시 부평구 요양원 현황 데이터는 부평구 내의 요양원에 대한 시설명, 주소, 전화번호 등의 데이터를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15118838/fileData.do

Alerts

시설유형 has constant value ""Constant
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:20:49.993041
Analysis finished2023-12-12 03:20:51.044753
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T12:20:51.172201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.15
Q116.75
median32.5
Q348.25
95-th percentile60.85
Maximum64
Range63
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation18.618987
Coefficient of variation (CV)0.5728919
Kurtosis-1.2
Mean32.5
Median Absolute Deviation (MAD)16
Skewness0
Sum2080
Variance346.66667
MonotonicityStrictly increasing
2023-12-12T12:20:51.389448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
34 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
43 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
64 1
1.6%
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%

시설유형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
노인의료복지시설
64 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인의료복지시설 64
100.0%

Length

2023-12-12T12:20:51.612522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:20:51.761495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인의료복지시설 64
100.0%

시설명
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T12:20:52.037884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10.5
Mean length7.109375
Min length5

Characters and Unicode

Total characters455
Distinct characters130
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st row100세 효 요양원
2nd row가족사랑 삼산요양원
3rd row가족요양원
4th row간호박사요양원
5th row고은손 요양원
ValueCountFrequency (%)
요양원 5
 
6.5%
효사랑요양원 2
 
2.6%
100세 1
 
1.3%
연세노인전문요양원 1
 
1.3%
은혜공동생활가정 1
 
1.3%
은빛요양원 1
 
1.3%
오셀복지요양원 1
 
1.3%
실버벨요양원 1
 
1.3%
숲속 1
 
1.3%
열우물 1
 
1.3%
Other values (62) 62
80.5%
2023-12-12T12:20:52.603193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
요 60
 
13.2%
양 60
 
13.2%
원 60
 
13.2%
13
 
2.9%
사 11
 
2.4%
랑 10
 
2.2%
인 8
 
1.8%
부 8
 
1.8%
은 7
 
1.5%
평 7
 
1.5%
Other values (120) 211
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
95.2%
Space Separator 13
 
2.9%
Decimal Number 7
 
1.5%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 60
 
13.9%
양 60
 
13.9%
원 60
 
13.9%
사 11
 
2.5%
랑 10
 
2.3%
인 8
 
1.8%
부 8
 
1.8%
은 7
 
1.6%
평 7
 
1.6%
노 6
 
1.4%
Other values (113) 196
45.3%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
0 2
28.6%
3 1
 
14.3%
2 1
 
14.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 432
94.9%
Common 22
 
4.8%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 60
 
13.9%
양 60
 
13.9%
원 60
 
13.9%
사 11
 
2.5%
랑 10
 
2.3%
인 8
 
1.9%
부 8
 
1.9%
은 7
 
1.6%
평 7
 
1.6%
노 6
 
1.4%
Other values (112) 195
45.1%
Common
ValueCountFrequency (%)
13
59.1%
1 3
 
13.6%
0 2
 
9.1%
3 1
 
4.5%
) 1
 
4.5%
( 1
 
4.5%
2 1
 
4.5%
Han
ValueCountFrequency (%)
休 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 432
94.9%
ASCII 22
 
4.8%
CJK 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
요 60
 
13.9%
양 60
 
13.9%
원 60
 
13.9%
사 11
 
2.5%
랑 10
 
2.3%
인 8
 
1.9%
부 8
 
1.9%
은 7
 
1.6%
평 7
 
1.6%
노 6
 
1.4%
Other values (112) 195
45.1%
ASCII
ValueCountFrequency (%)
13
59.1%
1 3
 
13.6%
0 2
 
9.1%
3 1
 
4.5%
) 1
 
4.5%
( 1
 
4.5%
2 1
 
4.5%
CJK
ValueCountFrequency (%)
休 1
100.0%

주소
Text

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T12:20:53.033415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length38
Mean length31.46875
Min length21

Characters and Unicode

Total characters2014
Distinct characters108
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)96.9%

Sample

1st row인천광역시 부평구 충선로209번길 41, 5, 6층 (삼산동)
2nd row인천광역시 부평구 체육관로 38, 901, 1002호 (삼산동, 세원빌딩)
3rd row인천광역시 부평구 마장로 256, 301호 (산곡동, 산곡프라자)
4th row인천광역시 부평구 체육관로 40, 10 (삼산동, 신영프라자)
5th row인천광역시 부평구 주부토로 261, 6층 (갈산동, 신협빌딩)
ValueCountFrequency (%)
인천광역시 64
 
16.3%
부평구 64
 
16.3%
삼산동 18
 
4.6%
부평동 17
 
4.3%
장제로 9
 
2.3%
체육관로 8
 
2.0%
갈산동 6
 
1.5%
십정동 5
 
1.3%
산곡동 5
 
1.3%
부개동 4
 
1.0%
Other values (137) 192
49.0%
2023-12-12T12:20:53.695217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
328
 
16.3%
부 100
 
5.0%
평 89
 
4.4%
, 83
 
4.1%
1 78
 
3.9%
천 74
 
3.7%
동 67
 
3.3%
로 65
 
3.2%
인 65
 
3.2%
시 64
 
3.2%
Other values (98) 1001
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1127
56.0%
Decimal Number 338
 
16.8%
Space Separator 328
 
16.3%
Other Punctuation 84
 
4.2%
Close Punctuation 64
 
3.2%
Open Punctuation 64
 
3.2%
Dash Punctuation 7
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 100
 
8.9%
평 89
 
7.9%
천 74
 
6.6%
동 67
 
5.9%
로 65
 
5.8%
인 65
 
5.8%
시 64
 
5.7%
역 64
 
5.7%
구 64
 
5.7%
광 64
 
5.7%
Other values (81) 411
36.5%
Decimal Number
ValueCountFrequency (%)
1 78
23.1%
0 47
13.9%
2 40
11.8%
3 40
11.8%
4 34
10.1%
6 30
 
8.9%
5 27
 
8.0%
7 18
 
5.3%
8 12
 
3.6%
9 12
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 83
98.8%
· 1
 
1.2%
Space Separator
ValueCountFrequency (%)
328
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1127
56.0%
Common 887
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 100
 
8.9%
평 89
 
7.9%
천 74
 
6.6%
동 67
 
5.9%
로 65
 
5.8%
인 65
 
5.8%
시 64
 
5.7%
역 64
 
5.7%
구 64
 
5.7%
광 64
 
5.7%
Other values (81) 411
36.5%
Common
ValueCountFrequency (%)
328
37.0%
, 83
 
9.4%
1 78
 
8.8%
) 64
 
7.2%
( 64
 
7.2%
0 47
 
5.3%
2 40
 
4.5%
3 40
 
4.5%
4 34
 
3.8%
6 30
 
3.4%
Other values (7) 79
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1127
56.0%
ASCII 886
44.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
328
37.0%
, 83
 
9.4%
1 78
 
8.8%
) 64
 
7.2%
( 64
 
7.2%
0 47
 
5.3%
2 40
 
4.5%
3 40
 
4.5%
4 34
 
3.8%
6 30
 
3.4%
Other values (6) 78
 
8.8%
Hangul
ValueCountFrequency (%)
부 100
 
8.9%
평 89
 
7.9%
천 74
 
6.6%
동 67
 
5.9%
로 65
 
5.8%
인 65
 
5.8%
시 64
 
5.7%
역 64
 
5.7%
구 64
 
5.7%
광 64
 
5.7%
Other values (81) 411
36.5%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T12:20:54.084732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.015625
Min length12

Characters and Unicode

Total characters769
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

Unique62 ?
Unique (%)96.9%

Sample

1st row032-724-9191
2nd row032-275-7500
3rd row032-361-8495
4th row032-511-6078
5th row032-517-2211
ValueCountFrequency (%)
032-330-3373 2
 
3.1%
032-502-7400 1
 
1.6%
032-508-9876 1
 
1.6%
032-265-3927 1
 
1.6%
032-529-0085 1
 
1.6%
032-330-0696 1
 
1.6%
032-506-3944 1
 
1.6%
032-519-3288 1
 
1.6%
032-504-1002 1
 
1.6%
032-721-4114 1
 
1.6%
Other values (53) 53
82.8%
2023-12-12T12:20:54.632239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 135
17.6%
- 128
16.6%
3 114
14.8%
2 114
14.8%
5 77
10.0%
1 62
8.1%
4 30
 
3.9%
7 29
 
3.8%
8 29
 
3.8%
9 26
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 641
83.4%
Dash Punctuation 128
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 135
21.1%
3 114
17.8%
2 114
17.8%
5 77
12.0%
1 62
9.7%
4 30
 
4.7%
7 29
 
4.5%
8 29
 
4.5%
9 26
 
4.1%
6 25
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 769
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 135
17.6%
- 128
16.6%
3 114
14.8%
2 114
14.8%
5 77
10.0%
1 62
8.1%
4 30
 
3.9%
7 29
 
3.8%
8 29
 
3.8%
9 26
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 769
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 135
17.6%
- 128
16.6%
3 114
14.8%
2 114
14.8%
5 77
10.0%
1 62
8.1%
4 30
 
3.9%
7 29
 
3.8%
8 29
 
3.8%
9 26
 
3.4%

Interactions

2023-12-12T12:20:50.678014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:20:54.789348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명주소전화번호
연번1.0001.0001.0001.000
시설명1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-12T12:20:50.841071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:20:50.981719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번시설유형시설명주소전화번호
01노인의료복지시설100세 효 요양원인천광역시 부평구 충선로209번길 41, 5, 6층 (삼산동)032-724-9191
12노인의료복지시설가족사랑 삼산요양원인천광역시 부평구 체육관로 38, 901, 1002호 (삼산동, 세원빌딩)032-275-7500
23노인의료복지시설가족요양원인천광역시 부평구 마장로 256, 301호 (산곡동, 산곡프라자)032-361-8495
34노인의료복지시설간호박사요양원인천광역시 부평구 체육관로 40, 10 (삼산동, 신영프라자)032-511-6078
45노인의료복지시설고은손 요양원인천광역시 부평구 주부토로 261, 6층 (갈산동, 신협빌딩)032-517-2211
56노인의료복지시설굿힐링요양원인천광역시 부평구 주부토로 223, 601호 (갈산동, 금강프라자)032-505-9700
67노인의료복지시설그라시아의집노인전문요양원인천광역시 부평구 경원대로 1286, 6층 (부평동, 부평메디아나센터)032-524-1006
78노인의료복지시설글로리 요양원인천광역시 부평구 장제로 153, 3층 (부평동)032-525-1255
89노인의료복지시설기쁨노인전문요양원인천광역시 부평구 충선로203번길 40, 7층 (삼산동, 씨앤씨로데오1)032-348-1505
910노인의료복지시설나누리요양원인천광역시 부평구 장제로 170, 2,3층 201,301호 (부평동)032-330-8024
연번시설유형시설명주소전화번호
5455노인의료복지시설하나실버케어인천광역시 부평구 길주로 639 (삼산동,현대아이프라자 6층,7층)032-328-1852
5556노인의료복지시설하선노인전문요양원인천광역시 부평구 세월천로 34, 401호 (청천동, 대우프라자)032-503-2060
5657노인의료복지시설한사랑요양원1호인천광역시 부평구 동수천로 132, 6층 (부개동, 부개빌딩)032-502-5361
5758노인의료복지시설행복노인전문요양원인천광역시 부평구 화랑로 14 (산곡동,3층,4층)032-265-5084
5859노인의료복지시설행복한요양원인천광역시 부평구 여우재로26번길 39-1 (십정동)032-422-3677
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