Overview

Dataset statistics

Number of variables6
Number of observations256
Missing cells23
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.4 KiB
Average record size in memory49.5 B

Variable types

Categorical1
Text4
Numeric1

Dataset

Description대구광역시_노인요양시설 현황_20200630
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15069499&dataSetDetailId=150694991901b9127ae9f&provdMethod=FILE

Alerts

FAX has 23 (9.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 20:08:12.625973
Analysis finished2023-12-10 20:08:14.597226
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct8
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
북구
60 
동구
43 
달서구
38 
서구
36 
달성군
31 
Other values (3)
48 

Length

Max length3
Median length2
Mean length2.328125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 60
23.4%
동구 43
16.8%
달서구 38
14.8%
서구 36
14.1%
달성군 31
12.1%
남구 26
10.2%
수성구 15
 
5.9%
중구 7
 
2.7%

Length

2023-12-11T05:08:14.709848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:14.898638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 60
23.4%
동구 43
16.8%
달서구 38
14.8%
서구 36
14.1%
달성군 31
12.1%
남구 26
10.2%
수성구 15
 
5.9%
중구 7
 
2.7%

시설명
Text

Distinct252
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T05:08:15.312240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7.5117188
Min length3

Characters and Unicode

Total characters1923
Distinct characters225
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

Unique248 ?
Unique (%)96.9%

Sample

1st row남산요양원
2nd row문성요양복지센터
3rd row현대복지센터
4th row청춘주간보호센터
5th row닥터김노인요양센터
ValueCountFrequency (%)
주식회사 4
 
1.5%
청춘주간보호센터 2
 
0.7%
삼성요양원1 2
 
0.7%
팔공어르신요양원 2
 
0.7%
삼성요양원2 2
 
0.7%
예람요양원 2
 
0.7%
천유원실버타운 1
 
0.4%
그린종합복지센터 1
 
0.4%
굿모닝효노인공동생활가정 1
 
0.4%
남산요양원 1
 
0.4%
Other values (250) 250
93.3%
2023-12-11T05:08:15.983489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 159
 
8.3%
요 159
 
8.3%
원 118
 
6.1%
센 74
 
3.8%
터 74
 
3.8%
인 65
 
3.4%
노 61
 
3.2%
실 51
 
2.7%
버 50
 
2.6%
운 41
 
2.1%
Other values (215) 1071
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1832
95.3%
Decimal Number 57
 
3.0%
Space Separator 12
 
0.6%
Close Punctuation 7
 
0.4%
Open Punctuation 7
 
0.4%
Uppercase Letter 4
 
0.2%
Dash Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 159
 
8.7%
요 159
 
8.7%
원 118
 
6.4%
센 74
 
4.0%
터 74
 
4.0%
인 65
 
3.5%
노 61
 
3.3%
실 51
 
2.8%
버 50
 
2.7%
운 41
 
2.2%
Other values (203) 980
53.5%
Decimal Number
ValueCountFrequency (%)
2 27
47.4%
1 20
35.1%
3 7
 
12.3%
4 3
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
A 1
25.0%
O 1
25.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1832
95.3%
Common 85
 
4.4%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 159
 
8.7%
요 159
 
8.7%
원 118
 
6.4%
센 74
 
4.0%
터 74
 
4.0%
인 65
 
3.5%
노 61
 
3.3%
실 51
 
2.8%
버 50
 
2.7%
운 41
 
2.2%
Other values (203) 980
53.5%
Common
ValueCountFrequency (%)
2 27
31.8%
1 20
23.5%
12
14.1%
) 7
 
8.2%
3 7
 
8.2%
( 7
 
8.2%
4 3
 
3.5%
- 2
 
2.4%
Latin
ValueCountFrequency (%)
e 2
33.3%
S 2
33.3%
A 1
16.7%
O 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1832
95.3%
ASCII 91
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 159
 
8.7%
요 159
 
8.7%
원 118
 
6.4%
센 74
 
4.0%
터 74
 
4.0%
인 65
 
3.5%
노 61
 
3.3%
실 51
 
2.8%
버 50
 
2.7%
운 41
 
2.2%
Other values (203) 980
53.5%
ASCII
ValueCountFrequency (%)
2 27
29.7%
1 20
22.0%
12
13.2%
) 7
 
7.7%
3 7
 
7.7%
( 7
 
7.7%
4 3
 
3.3%
- 2
 
2.2%
e 2
 
2.2%
S 2
 
2.2%
Other values (2) 2
 
2.2%

입소정원
Real number (ℝ)

Distinct61
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.945312
Minimum0
Maximum332
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T05:08:16.251241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q19
median9
Q330.75
95-th percentile105.75
Maximum332
Range332
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation42.474686
Coefficient of variation (CV)1.3296062
Kurtosis12.304275
Mean31.945312
Median Absolute Deviation (MAD)0
Skewness2.9933679
Sum8178
Variance1804.099
MonotonicityNot monotonic
2023-12-11T05:08:16.819486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 134
52.3%
29 15
 
5.9%
20 5
 
2.0%
28 5
 
2.0%
22 4
 
1.6%
49 4
 
1.6%
18 4
 
1.6%
25 4
 
1.6%
86 3
 
1.2%
81 3
 
1.2%
Other values (51) 75
29.3%
ValueCountFrequency (%)
0 1
 
0.4%
7 2
 
0.8%
8 1
 
0.4%
9 134
52.3%
10 2
 
0.8%
11 1
 
0.4%
15 1
 
0.4%
16 2
 
0.8%
17 3
 
1.2%
18 4
 
1.6%
ValueCountFrequency (%)
332 1
0.4%
200 1
0.4%
199 1
0.4%
198 1
0.4%
178 1
0.4%
160 1
0.4%
150 1
0.4%
147 1
0.4%
146 1
0.4%
140 1
0.4%

시설 소재지
Text

Distinct236
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T05:08:17.367537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length32
Mean length22.496094
Min length14

Characters and Unicode

Total characters5759
Distinct characters182
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

Unique218 ?
Unique (%)85.2%

Sample

1st row대구광역시 중구 남산로7길 44
2nd row대구광역시 중구 명덕로 217
3rd row대구광역시 중구 명덕로 59
4th row대구광역시 중구 달성로 83
5th row대구광역시 중구 태평로 304
ValueCountFrequency (%)
대구광역시 256
 
20.3%
북구 60
 
4.8%
동구 43
 
3.4%
달서구 36
 
2.9%
서구 35
 
2.8%
달성군 31
 
2.5%
남구 27
 
2.1%
5층 22
 
1.7%
4층 16
 
1.3%
3층 15
 
1.2%
Other values (407) 718
57.0%
2023-12-11T05:08:18.179659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1005
17.5%
구 495
 
8.6%
대 307
 
5.3%
광 256
 
4.4%
역 256
 
4.4%
시 256
 
4.4%
로 241
 
4.2%
2 180
 
3.1%
동 170
 
3.0%
1 165
 
2.9%
Other values (172) 2428
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3457
60.0%
Space Separator 1005
 
17.5%
Decimal Number 956
 
16.6%
Close Punctuation 100
 
1.7%
Open Punctuation 100
 
1.7%
Other Punctuation 93
 
1.6%
Dash Punctuation 46
 
0.8%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 495
14.3%
대 307
 
8.9%
광 256
 
7.4%
역 256
 
7.4%
시 256
 
7.4%
로 241
 
7.0%
동 170
 
4.9%
길 100
 
2.9%
서 87
 
2.5%
층 79
 
2.3%
Other values (153) 1210
35.0%
Decimal Number
ValueCountFrequency (%)
2 180
18.8%
1 165
17.3%
5 102
10.7%
4 96
10.0%
3 92
9.6%
6 81
8.5%
0 79
8.3%
7 74
7.7%
8 46
 
4.8%
9 41
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 91
97.8%
/ 1
 
1.1%
. 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
1005
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3457
60.0%
Common 2300
39.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 495
14.3%
대 307
 
8.9%
광 256
 
7.4%
역 256
 
7.4%
시 256
 
7.4%
로 241
 
7.0%
동 170
 
4.9%
길 100
 
2.9%
서 87
 
2.5%
층 79
 
2.3%
Other values (153) 1210
35.0%
Common
ValueCountFrequency (%)
1005
43.7%
2 180
 
7.8%
1 165
 
7.2%
5 102
 
4.4%
) 100
 
4.3%
( 100
 
4.3%
4 96
 
4.2%
3 92
 
4.0%
, 91
 
4.0%
6 81
 
3.5%
Other values (7) 288
 
12.5%
Latin
ValueCountFrequency (%)
A 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3457
60.0%
ASCII 2302
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1005
43.7%
2 180
 
7.8%
1 165
 
7.2%
5 102
 
4.4%
) 100
 
4.3%
( 100
 
4.3%
4 96
 
4.2%
3 92
 
4.0%
, 91
 
4.0%
6 81
 
3.5%
Other values (9) 290
 
12.6%
Hangul
ValueCountFrequency (%)
구 495
14.3%
대 307
 
8.9%
광 256
 
7.4%
역 256
 
7.4%
시 256
 
7.4%
로 241
 
7.0%
동 170
 
4.9%
길 100
 
2.9%
서 87
 
2.5%
층 79
 
2.3%
Other values (153) 1210
35.0%

전화번호
Text

Distinct243
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T05:08:18.647101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.023438
Min length12

Characters and Unicode

Total characters3078
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

Unique233 ?
Unique (%)91.0%

Sample

1st row053-255-6567
2nd row053-521-6162
3rd row053-626-7822
4th row053-571-6800
5th row053-428-8808
ValueCountFrequency (%)
053-958-5400 4
 
1.6%
053-623-5133 3
 
1.2%
053-314-0006 2
 
0.8%
053-621-9798 2
 
0.8%
053-985-9978 2
 
0.8%
053-794-7800 2
 
0.8%
053-982-4470 2
 
0.8%
053-321-5804 2
 
0.8%
053-939-4567 2
 
0.8%
053-566-8575 2
 
0.8%
Other values (233) 233
91.0%
2023-12-11T05:08:19.303883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 512
16.6%
5 479
15.6%
0 453
14.7%
3 438
14.2%
8 199
 
6.5%
6 198
 
6.4%
9 178
 
5.8%
1 177
 
5.8%
2 173
 
5.6%
7 161
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2566
83.4%
Dash Punctuation 512
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 479
18.7%
0 453
17.7%
3 438
17.1%
8 199
7.8%
6 198
7.7%
9 178
 
6.9%
1 177
 
6.9%
2 173
 
6.7%
7 161
 
6.3%
4 110
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 512
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3078
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 512
16.6%
5 479
15.6%
0 453
14.7%
3 438
14.2%
8 199
 
6.5%
6 198
 
6.4%
9 178
 
5.8%
1 177
 
5.8%
2 173
 
5.6%
7 161
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3078
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 512
16.6%
5 479
15.6%
0 453
14.7%
3 438
14.2%
8 199
 
6.5%
6 198
 
6.4%
9 178
 
5.8%
1 177
 
5.8%
2 173
 
5.6%
7 161
 
5.2%

FAX
Text

MISSING 

Distinct215
Distinct (%)92.3%
Missing23
Missing (%)9.0%
Memory size2.1 KiB
2023-12-11T05:08:19.734251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.004292
Min length12

Characters and Unicode

Total characters2797
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

Unique200 ?
Unique (%)85.8%

Sample

1st row053-255-6568
2nd row053-521-2009
3rd row053-256-7822
4th row053-571-6801
5th row053-431-9981
ValueCountFrequency (%)
053-655-7101 4
 
1.7%
053-623-5135 3
 
1.3%
053-352-0362 2
 
0.9%
053-311-5810 2
 
0.9%
053-794-7803 2
 
0.9%
053-264-0053 2
 
0.9%
053-939-2828 2
 
0.9%
053-241-3119 2
 
0.9%
053-985-9976 2
 
0.9%
053-566-8574 2
 
0.9%
Other values (205) 210
90.1%
2023-12-11T05:08:20.428801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 466
16.7%
5 449
16.1%
3 417
14.9%
0 377
13.5%
6 188
6.7%
2 171
 
6.1%
1 167
 
6.0%
9 161
 
5.8%
8 150
 
5.4%
7 144
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2331
83.3%
Dash Punctuation 466
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 449
19.3%
3 417
17.9%
0 377
16.2%
6 188
8.1%
2 171
 
7.3%
1 167
 
7.2%
9 161
 
6.9%
8 150
 
6.4%
7 144
 
6.2%
4 107
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 466
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2797
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 466
16.7%
5 449
16.1%
3 417
14.9%
0 377
13.5%
6 188
6.7%
2 171
 
6.1%
1 167
 
6.0%
9 161
 
5.8%
8 150
 
5.4%
7 144
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2797
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 466
16.7%
5 449
16.1%
3 417
14.9%
0 377
13.5%
6 188
6.7%
2 171
 
6.1%
1 167
 
6.0%
9 161
 
5.8%
8 150
 
5.4%
7 144
 
5.1%

Interactions

2023-12-11T05:08:14.078249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T05:08:20.586771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분입소정원
구분1.0000.000
입소정원0.0001.000
2023-12-11T05:08:20.725395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입소정원구분
입소정원1.0000.000
구분0.0001.000

Missing values

2023-12-11T05:08:14.312508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T05:08:14.504597image/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

구분시설명입소정원시설 소재지전화번호FAX
0중구남산요양원9대구광역시 중구 남산로7길 44053-255-6567053-255-6568
1중구문성요양복지센터9대구광역시 중구 명덕로 217053-521-6162053-521-2009
2중구현대복지센터9대구광역시 중구 명덕로 59053-626-7822053-256-7822
3중구청춘주간보호센터9대구광역시 중구 달성로 83053-571-6800053-571-6801
4중구닥터김노인요양센터120대구광역시 중구 태평로 304053-428-8808053-431-9981
5중구보람요양원29대구광역시 중구 명덕로 125053-257-8001053-257-8004
6중구우리요양원15대구광역시 중구 동덕로 38길 21070-4451-1762053-256-5799
7동구가람요양원9대구광역시 동구 안심로 442 2층053-965-3990053-965-3994
8동구뉴도울노인요양센터19대구광역시 동구 화랑로 105053-286-0001053-743-1565
9동구뉴도울노인요양센터 29대구광역시 동구 화랑로 105 영나빌딩 2층053-653-1222053-742-1226
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246달성군행복한효경27대구광역시 달성군 현풍읍 현풍동로27길 25053-611-3778053-611-3770
247달성군대구보훈요양원200대구광역시 달성군 하빈면 하산길 123-23053-606-3000053-593-2523
248달성군마음다해실버타운29대구광역시 달성군 논공읍 금강로10길 6-8053-617-0900053-617-0123
249달성군다사랑요양원67대구광역시 달성군 가창면 가창로 1049053-767-2619053-768-2619
250달성군성심힐링노인요양원49대구광역시 달성군 다사읍 세천로10길 36-5053-583-1155053-583-1153
251달성군서재요양원29대구광역시 달성군 다사읍 서재로31길 6053-587-4241053-587-4240
252달성군더나은요양원29대구광역시 달성군 가창면 가창로10길 10053-767-7100053-767-7102
253달성군화원요양원49대구광역시 달성군 화원읍 명천로 192053-632-8811053-635-3690
254달성군다사실버타운20대구광역시 달성군 다사읍 죽곡1길 16-8053-588-5644053-588-5645
255달성군가족사랑요양원26대구광역시 달성군 옥포읍 돌미상업로1길 16 6층(세진플라자)053-616-9090053-617-9090