Overview

Dataset statistics

Number of variables5
Number of observations260
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory41.5 B

Variable types

Categorical1
Text3
Numeric1

Dataset

Description대구광역시_노인요양시설_2017.9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15006977&dataSetDetailId=150069771be197124e4ce&provdMethod=FILE

Reproduction

Analysis started2024-04-21 02:43:06.436715
Analysis finished2024-04-21 02:43:07.293887
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct8
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
북구
52 
동구
46 
달서구
40 
서구
38 
달성
29 
Other values (3)
55 

Length

Max length3
Median length2
Mean length2.2346154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 52
20.0%
동구 46
17.7%
달서구 40
15.4%
서구 38
14.6%
달성 29
11.2%
남구 28
10.8%
수성구 21
8.1%
중구 6
 
2.3%

Length

2024-04-21T11:43:07.403844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:43:07.604650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 52
20.0%
동구 46
17.7%
달서구 40
15.4%
서구 38
14.6%
달성 29
11.2%
남구 28
10.8%
수성구 21
8.1%
중구 6
 
2.3%

시 설 명
Text

Distinct255
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-21T11:43:08.351451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length7.6576923
Min length3

Characters and Unicode

Total characters1991
Distinct characters227
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

Unique250 ?
Unique (%)96.2%

Sample

1st row닥터김노인요양센터
2nd row동산요양원(2017.1.24 휴업)
3rd row보람요양원
4th row남산요양원
5th row문성요양복지센터
ValueCountFrequency (%)
삼성요양원1 2
 
0.7%
선우요양복지센터 2
 
0.7%
삼성요양원2 2
 
0.7%
선우실버홈 2
 
0.7%
온사랑요양원 2
 
0.7%
드림실버요양복지센터 2
 
0.7%
팔공어르신요양원 2
 
0.7%
동대구요양원 1
 
0.4%
마야소규모노인종합센터 1
 
0.4%
성림노인요양원 1
 
0.4%
Other values (251) 251
93.7%
2024-04-21T11:43:09.644546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
요 164
 
8.2%
양 164
 
8.2%
원 102
 
5.1%
센 89
 
4.5%
터 88
 
4.4%
인 73
 
3.7%
노 69
 
3.5%
실 49
 
2.5%
버 48
 
2.4%
복 45
 
2.3%
Other values (217) 1100
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1884
94.6%
Decimal Number 74
 
3.7%
Space Separator 8
 
0.4%
Open Punctuation 7
 
0.4%
Close Punctuation 7
 
0.4%
Uppercase Letter 5
 
0.3%
Dash Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 164
 
8.7%
양 164
 
8.7%
원 102
 
5.4%
센 89
 
4.7%
터 88
 
4.7%
인 73
 
3.9%
노 69
 
3.7%
실 49
 
2.6%
버 48
 
2.5%
복 45
 
2.4%
Other values (201) 993
52.7%
Decimal Number
ValueCountFrequency (%)
2 34
45.9%
1 25
33.8%
3 9
 
12.2%
4 4
 
5.4%
7 1
 
1.4%
0 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
B 1
20.0%
A 1
20.0%
O 1
20.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1884
94.6%
Common 100
 
5.0%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 164
 
8.7%
양 164
 
8.7%
원 102
 
5.4%
센 89
 
4.7%
터 88
 
4.7%
인 73
 
3.9%
노 69
 
3.7%
실 49
 
2.6%
버 48
 
2.5%
복 45
 
2.4%
Other values (201) 993
52.7%
Common
ValueCountFrequency (%)
2 34
34.0%
1 25
25.0%
3 9
 
9.0%
8
 
8.0%
( 7
 
7.0%
) 7
 
7.0%
4 4
 
4.0%
- 2
 
2.0%
. 2
 
2.0%
7 1
 
1.0%
Latin
ValueCountFrequency (%)
e 2
28.6%
S 2
28.6%
B 1
14.3%
A 1
14.3%
O 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1884
94.6%
ASCII 107
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
요 164
 
8.7%
양 164
 
8.7%
원 102
 
5.4%
센 89
 
4.7%
터 88
 
4.7%
인 73
 
3.9%
노 69
 
3.7%
실 49
 
2.6%
버 48
 
2.5%
복 45
 
2.4%
Other values (201) 993
52.7%
ASCII
ValueCountFrequency (%)
2 34
31.8%
1 25
23.4%
3 9
 
8.4%
8
 
7.5%
( 7
 
6.5%
) 7
 
6.5%
4 4
 
3.7%
- 2
 
1.9%
. 2
 
1.9%
e 2
 
1.9%
Other values (6) 7
 
6.5%

입소정원
Real number (ℝ)

Distinct60
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.288462
Minimum5
Maximum332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-21T11:43:10.046161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q19
median9
Q328
95-th percentile100.05
Maximum332
Range327
Interquartile range (IQR)19

Descriptive statistics

Standard deviation42.275953
Coefficient of variation (CV)1.4434337
Kurtosis13.540788
Mean29.288462
Median Absolute Deviation (MAD)0
Skewness3.1992372
Sum7615
Variance1787.2562
MonotonicityNot monotonic
2024-04-21T11:43:10.480178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 149
57.3%
18 6
 
2.3%
29 6
 
2.3%
20 6
 
2.3%
28 5
 
1.9%
17 4
 
1.5%
49 4
 
1.5%
8 4
 
1.5%
98 3
 
1.2%
86 3
 
1.2%
Other values (50) 70
26.9%
ValueCountFrequency (%)
5 1
 
0.4%
6 3
 
1.2%
7 3
 
1.2%
8 4
 
1.5%
9 149
57.3%
10 1
 
0.4%
15 2
 
0.8%
16 3
 
1.2%
17 4
 
1.5%
18 6
 
2.3%
ValueCountFrequency (%)
332 1
0.4%
206 1
0.4%
200 1
0.4%
199 1
0.4%
198 1
0.4%
160 1
0.4%
152 1
0.4%
147 1
0.4%
146 1
0.4%
134 1
0.4%

시설 소재지
Text

Distinct232
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-21T11:43:11.689764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length28
Mean length17.430769
Min length5

Characters and Unicode

Total characters4532
Distinct characters175
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)80.0%

Sample

1st row중구, 태평로 304
2nd row중구,달성로 83
3rd row중구,명덕로 125
4th row중구 남산로7길 44
5th row중구,명덕로 217
ValueCountFrequency (%)
북구 52
 
5.2%
대구시 51
 
5.1%
동구 46
 
4.6%
달서구 23
 
2.3%
달성군 22
 
2.2%
수성구 19
 
1.9%
4층 19
 
1.9%
2층 19
 
1.9%
5층 18
 
1.8%
3층 18
 
1.8%
Other values (393) 712
71.3%
2024-04-21T11:43:13.344980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
763
 
16.8%
로 251
 
5.5%
구 244
 
5.4%
동 211
 
4.7%
2 184
 
4.1%
1 161
 
3.6%
) 136
 
3.0%
( 136
 
3.0%
, 130
 
2.9%
대 120
 
2.6%
Other values (165) 2196
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2335
51.5%
Decimal Number 981
21.6%
Space Separator 763
 
16.8%
Close Punctuation 136
 
3.0%
Open Punctuation 136
 
3.0%
Other Punctuation 134
 
3.0%
Dash Punctuation 47
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 251
 
10.7%
구 244
 
10.4%
동 211
 
9.0%
대 120
 
5.1%
길 98
 
4.2%
층 95
 
4.1%
달 75
 
3.2%
성 74
 
3.2%
북 61
 
2.6%
시 53
 
2.3%
Other values (147) 1053
45.1%
Decimal Number
ValueCountFrequency (%)
2 184
18.8%
1 161
16.4%
4 109
11.1%
5 105
10.7%
3 97
9.9%
6 89
9.1%
0 76
7.7%
7 70
 
7.1%
8 49
 
5.0%
9 41
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 130
97.0%
/ 2
 
1.5%
? 1
 
0.7%
. 1
 
0.7%
Space Separator
ValueCountFrequency (%)
763
100.0%
Close Punctuation
ValueCountFrequency (%)
) 136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2335
51.5%
Common 2197
48.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 251
 
10.7%
구 244
 
10.4%
동 211
 
9.0%
대 120
 
5.1%
길 98
 
4.2%
층 95
 
4.1%
달 75
 
3.2%
성 74
 
3.2%
북 61
 
2.6%
시 53
 
2.3%
Other values (147) 1053
45.1%
Common
ValueCountFrequency (%)
763
34.7%
2 184
 
8.4%
1 161
 
7.3%
) 136
 
6.2%
( 136
 
6.2%
, 130
 
5.9%
4 109
 
5.0%
5 105
 
4.8%
3 97
 
4.4%
6 89
 
4.1%
Other values (8) 287
 
13.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2335
51.5%
ASCII 2197
48.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
763
34.7%
2 184
 
8.4%
1 161
 
7.3%
) 136
 
6.2%
( 136
 
6.2%
, 130
 
5.9%
4 109
 
5.0%
5 105
 
4.8%
3 97
 
4.4%
6 89
 
4.1%
Other values (8) 287
 
13.1%
Hangul
ValueCountFrequency (%)
로 251
 
10.7%
구 244
 
10.4%
동 211
 
9.0%
대 120
 
5.1%
길 98
 
4.2%
층 95
 
4.1%
달 75
 
3.2%
성 74
 
3.2%
북 61
 
2.6%
시 53
 
2.3%
Other values (147) 1053
45.1%

전화번호
Text

Distinct241
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-21T11:43:14.165270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.015385
Min length9

Characters and Unicode

Total characters3124
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

Unique226 ?
Unique (%)86.9%

Sample

1st row053-428-8808
2nd row053-256-4020
3rd row053-257-8001
4th row053-255-6567
5th row053-521-6162
ValueCountFrequency (%)
053-958-5400 4
 
1.5%
053-623-5133 3
 
1.2%
053-621-9797 3
 
1.2%
053-641-4033 2
 
0.8%
053-985-9978 2
 
0.8%
053-321-5804 2
 
0.8%
053-591-6668 2
 
0.8%
053-651-5352 2
 
0.8%
053-961-9800 2
 
0.8%
053-314-0006 2
 
0.8%
Other values (231) 236
90.8%
2024-04-21T11:43:15.547014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 519
16.6%
5 481
15.4%
0 462
14.8%
3 439
14.1%
6 209
6.7%
1 198
 
6.3%
9 188
 
6.0%
8 179
 
5.7%
7 170
 
5.4%
2 165
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2605
83.4%
Dash Punctuation 519
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 481
18.5%
0 462
17.7%
3 439
16.9%
6 209
8.0%
1 198
7.6%
9 188
 
7.2%
8 179
 
6.9%
7 170
 
6.5%
2 165
 
6.3%
4 114
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 519
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3124
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 519
16.6%
5 481
15.4%
0 462
14.8%
3 439
14.1%
6 209
6.7%
1 198
 
6.3%
9 188
 
6.0%
8 179
 
5.7%
7 170
 
5.4%
2 165
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 519
16.6%
5 481
15.4%
0 462
14.8%
3 439
14.1%
6 209
6.7%
1 198
 
6.3%
9 188
 
6.0%
8 179
 
5.7%
7 170
 
5.4%
2 165
 
5.3%

Interactions

2024-04-21T11:43:06.870100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:43:15.808748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분입소정원
구분1.0000.101
입소정원0.1011.000
2024-04-21T11:43:16.032216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입소정원구분
입소정원1.0000.032
구분0.0321.000

Missing values

2024-04-21T11:43:07.064427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:43:07.229731image/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

구분시 설 명입소정원시설 소재지전화번호
0중구닥터김노인요양센터120중구, 태평로 304053-428-8808
1중구동산요양원(2017.1.24 휴업)20중구,달성로 83053-256-4020
2중구보람요양원19중구,명덕로 125053-257-8001
3중구남산요양원9중구 남산로7길 44053-255-6567
4중구문성요양복지센터9중구,명덕로 217053-521-6162
5중구현대복지센터9중구,명덕로59053-626-7822
6동구SOS프란치스카의집95대구시 동구 방촌로1길 17 (검사동)053-986-2077
7동구갓바위치매센타98대구시 동구 갓바위로 75 (진인동)053-986-7700
8동구동구소규모노인종합센터10대구시 동구 공항로31길 9-6 (불로동)053-983-9011
9동구동화사 자비원80대구시 동구 팔공산로254길 27 (도학동)053-985-2115
구분시 설 명입소정원시설 소재지전화번호
250달성나오미행복한집9달성군, 하빈면 달구벌대로 35길 26-5053-591-2803
251달성효자실버타운A9달성군,화원읍 사문진로 447053-638-0062
252달성효자실버타운B9달성군,화원읍 사문진로 447053-639-0061
253달성다사효실버타운8달성군 다사읍 달구벌대로92길 18053-588-2166
254달성하빈천사의집5달성군 하빈면 하빈로52길20-25053-582-0501
255달성마음다해실버타운29달성군, 논공읍 금강로10길 6-8053-617-0900
256달성다사랑요양원48달성군, 가창면 가창로 1049053-767-2619
257달성성심힐링노인요양원49달성군 다사읍 세천로10길 36-5053-583-1155
258달성서재요양원28달성군 다사읍 서재로31길 6053-587-4241
259달성더나은요양원29달성군 가창면 가창로10길 10053-767-7100