Overview

Dataset statistics

Number of variables5
Number of observations258
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 현황_20170413
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15069499&dataSetDetailId=150694991c1dd44d3c90c&provdMethod=FILE

Reproduction

Analysis started2024-04-20 22:38:56.977007
Analysis finished2024-04-20 22:38:58.401267
Duration1.42 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
51 
동구
45 
서구
39 
달서구
39 
남구
31 
Other values (3)
53 

Length

Max length3
Median length2
Mean length2.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 51
19.8%
동구 45
17.4%
서구 39
15.1%
달서구 39
15.1%
남구 31
12.0%
달성군 28
10.9%
수성구 19
 
7.4%
중구 6
 
2.3%

Length

2024-04-21T07:38:58.580280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:38:58.840741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 51
19.8%
동구 45
17.4%
서구 39
15.1%
달서구 39
15.1%
남구 31
12.0%
달성군 28
10.9%
수성구 19
 
7.4%
중구 6
 
2.3%

시 설 명
Text

Distinct253
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-21T07:38:59.562618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.6434109
Min length3

Characters and Unicode

Total characters1972
Distinct characters220
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

Unique248 ?
Unique (%)96.1%

Sample

1st row닥터김노인요양센터
2nd row동산요양원
3rd row보람요양원
4th row남산요양원
5th row문성요양복지센터
ValueCountFrequency (%)
선우요양복지센터 2
 
0.8%
요양원 2
 
0.8%
내부모요양복지센터 2
 
0.8%
선우실버홈 2
 
0.8%
팔공어르신요양원 2
 
0.8%
삼성요양원1 2
 
0.8%
온사랑요양원 2
 
0.8%
삼성요양원2 2
 
0.8%
한아름노인복지센터 1
 
0.4%
나비복현요양센터 1
 
0.4%
Other values (246) 246
93.2%
2024-04-21T07:39:00.486025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
요 163
 
8.3%
양 163
 
8.3%
원 99
 
5.0%
센 92
 
4.7%
터 91
 
4.6%
인 72
 
3.7%
노 68
 
3.4%
복 48
 
2.4%
실 45
 
2.3%
버 44
 
2.2%
Other values (210) 1087
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1863
94.5%
Decimal Number 77
 
3.9%
Close Punctuation 7
 
0.4%
Open Punctuation 7
 
0.4%
Space Separator 6
 
0.3%
Uppercase Letter 6
 
0.3%
Lowercase Letter 2
 
0.1%
Dash Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 163
 
8.7%
양 163
 
8.7%
원 99
 
5.3%
센 92
 
4.9%
터 91
 
4.9%
인 72
 
3.9%
노 68
 
3.7%
복 48
 
2.6%
실 45
 
2.4%
버 44
 
2.4%
Other values (195) 978
52.5%
Decimal Number
ValueCountFrequency (%)
2 35
45.5%
1 29
37.7%
3 9
 
11.7%
4 3
 
3.9%
6 1
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
B 2
33.3%
O 1
16.7%
A 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1863
94.5%
Common 101
 
5.1%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 163
 
8.7%
양 163
 
8.7%
원 99
 
5.3%
센 92
 
4.9%
터 91
 
4.9%
인 72
 
3.9%
노 68
 
3.7%
복 48
 
2.6%
실 45
 
2.4%
버 44
 
2.4%
Other values (195) 978
52.5%
Common
ValueCountFrequency (%)
2 35
34.7%
1 29
28.7%
3 9
 
8.9%
) 7
 
6.9%
( 7
 
6.9%
6
 
5.9%
4 3
 
3.0%
- 2
 
2.0%
. 2
 
2.0%
6 1
 
1.0%
Latin
ValueCountFrequency (%)
e 2
25.0%
S 2
25.0%
B 2
25.0%
O 1
12.5%
A 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1863
94.5%
ASCII 109
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
요 163
 
8.7%
양 163
 
8.7%
원 99
 
5.3%
센 92
 
4.9%
터 91
 
4.9%
인 72
 
3.9%
노 68
 
3.7%
복 48
 
2.6%
실 45
 
2.4%
버 44
 
2.4%
Other values (195) 978
52.5%
ASCII
ValueCountFrequency (%)
2 35
32.1%
1 29
26.6%
3 9
 
8.3%
) 7
 
6.4%
( 7
 
6.4%
6
 
5.5%
4 3
 
2.8%
e 2
 
1.8%
S 2
 
1.8%
- 2
 
1.8%
Other values (5) 7
 
6.4%

입소정원
Real number (ℝ)

Distinct62
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.627907
Minimum0
Maximum332
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-21T07:39:00.722257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q19
median9
Q325.75
95-th percentile99.15
Maximum332
Range332
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation40.284411
Coefficient of variation (CV)1.4581058
Kurtosis16.378732
Mean27.627907
Median Absolute Deviation (MAD)0
Skewness3.4645699
Sum7128
Variance1622.8338
MonotonicityNot monotonic
2024-04-21T07:39:00.970374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 153
59.3%
20 5
 
1.9%
16 5
 
1.9%
29 5
 
1.9%
8 4
 
1.6%
17 4
 
1.6%
25 4
 
1.6%
60 4
 
1.6%
7 4
 
1.6%
28 3
 
1.2%
Other values (52) 67
26.0%
ValueCountFrequency (%)
0 1
 
0.4%
6 3
 
1.2%
7 4
 
1.6%
8 4
 
1.6%
9 153
59.3%
10 1
 
0.4%
15 2
 
0.8%
16 5
 
1.9%
17 4
 
1.6%
18 2
 
0.8%
ValueCountFrequency (%)
332 1
0.4%
206 1
0.4%
200 1
0.4%
199 1
0.4%
160 1
0.4%
152 1
0.4%
147 1
0.4%
146 1
0.4%
134 1
0.4%
120 1
0.4%

시설 소재지
Text

Distinct226
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-21T07:39:02.087194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length27
Mean length17.705426
Min length6

Characters and Unicode

Total characters4568
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

Unique201 ?
Unique (%)77.9%

Sample

1st row중구, 태평로 304
2nd row중구,달성로 83
3rd row중구,명덕로 125
4th row중구 남산로7길 44
5th row중구,명덕로217
ValueCountFrequency (%)
북구 51
 
5.3%
대구시 46
 
4.8%
동구 45
 
4.7%
달성군 21
 
2.2%
수성구 18
 
1.9%
2층 16
 
1.7%
3층 15
 
1.6%
평리동 14
 
1.5%
4층 13
 
1.4%
5층 13
 
1.4%
Other values (389) 702
73.6%
2024-04-21T07:39:03.694956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
767
 
16.8%
로 249
 
5.5%
구 230
 
5.0%
동 225
 
4.9%
2 178
 
3.9%
1 162
 
3.5%
, 159
 
3.5%
) 151
 
3.3%
( 151
 
3.3%
대 105
 
2.3%
Other values (165) 2191
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2329
51.0%
Decimal Number 957
21.0%
Space Separator 767
 
16.8%
Other Punctuation 166
 
3.6%
Close Punctuation 151
 
3.3%
Open Punctuation 151
 
3.3%
Dash Punctuation 47
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 249
 
10.7%
구 230
 
9.9%
동 225
 
9.7%
대 105
 
4.5%
길 92
 
4.0%
층 88
 
3.8%
달 80
 
3.4%
성 68
 
2.9%
북 60
 
2.6%
서 55
 
2.4%
Other values (147) 1077
46.2%
Decimal Number
ValueCountFrequency (%)
2 178
18.6%
1 162
16.9%
5 102
10.7%
4 102
10.7%
3 96
10.0%
6 87
9.1%
0 70
 
7.3%
7 69
 
7.2%
8 50
 
5.2%
9 41
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 159
95.8%
. 4
 
2.4%
/ 2
 
1.2%
? 1
 
0.6%
Space Separator
ValueCountFrequency (%)
767
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2329
51.0%
Common 2239
49.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 249
 
10.7%
구 230
 
9.9%
동 225
 
9.7%
대 105
 
4.5%
길 92
 
4.0%
층 88
 
3.8%
달 80
 
3.4%
성 68
 
2.9%
북 60
 
2.6%
서 55
 
2.4%
Other values (147) 1077
46.2%
Common
ValueCountFrequency (%)
767
34.3%
2 178
 
7.9%
1 162
 
7.2%
, 159
 
7.1%
) 151
 
6.7%
( 151
 
6.7%
5 102
 
4.6%
4 102
 
4.6%
3 96
 
4.3%
6 87
 
3.9%
Other values (8) 284
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2329
51.0%
ASCII 2239
49.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
767
34.3%
2 178
 
7.9%
1 162
 
7.2%
, 159
 
7.1%
) 151
 
6.7%
( 151
 
6.7%
5 102
 
4.6%
4 102
 
4.6%
3 96
 
4.3%
6 87
 
3.9%
Other values (8) 284
 
12.7%
Hangul
ValueCountFrequency (%)
로 249
 
10.7%
구 230
 
9.9%
동 225
 
9.7%
대 105
 
4.5%
길 92
 
4.0%
층 88
 
3.8%
달 80
 
3.4%
성 68
 
2.9%
북 60
 
2.6%
서 55
 
2.4%
Other values (147) 1077
46.2%

전화번호(FAX)
Text

Distinct246
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-21T07:39:04.511591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length18
Mean length18.5
Min length8

Characters and Unicode

Total characters4773
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)91.1%

Sample

1st row428-8808(431-9981)
2nd row256-4020(257-4020)
3rd row257-8001(257-8004)
4th row255-6567(255-6568)
5th row521-6162(521-2009)
ValueCountFrequency (%)
621-9797(621-9798 3
 
1.1%
958-5400(939-2828 2
 
0.7%
794-7800(794-7803 2
 
0.7%
355-3365 2
 
0.7%
939-4567939-4568 2
 
0.7%
632-5136(623-5135 2
 
0.7%
985-9978(985-9976 2
 
0.7%
314-0006(314-0090 2
 
0.7%
341-9321(341-9324 2
 
0.7%
961-9801 2
 
0.7%
Other values (253) 257
92.4%
2024-04-21T07:39:05.771986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 529
11.1%
5 457
9.6%
6 434
9.1%
1 384
8.0%
2 374
7.8%
9 371
7.8%
0 370
7.8%
3 362
7.6%
8 337
7.1%
7 316
 
6.6%
Other values (5) 839
17.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3648
76.4%
Dash Punctuation 529
 
11.1%
Open Punctuation 245
 
5.1%
Close Punctuation 244
 
5.1%
Space Separator 106
 
2.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 457
12.5%
6 434
11.9%
1 384
10.5%
2 374
10.3%
9 371
10.2%
0 370
10.1%
3 362
9.9%
8 337
9.2%
7 316
8.7%
4 243
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 529
100.0%
Open Punctuation
ValueCountFrequency (%)
( 245
100.0%
Close Punctuation
ValueCountFrequency (%)
) 244
100.0%
Space Separator
ValueCountFrequency (%)
106
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4773
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 529
11.1%
5 457
9.6%
6 434
9.1%
1 384
8.0%
2 374
7.8%
9 371
7.8%
0 370
7.8%
3 362
7.6%
8 337
7.1%
7 316
 
6.6%
Other values (5) 839
17.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4773
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 529
11.1%
5 457
9.6%
6 434
9.1%
1 384
8.0%
2 374
7.8%
9 371
7.8%
0 370
7.8%
3 362
7.6%
8 337
7.1%
7 316
 
6.6%
Other values (5) 839
17.6%

Interactions

2024-04-21T07:38:57.415346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T07:39:06.036587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분입소정원
구분1.0000.000
입소정원0.0001.000
2024-04-21T07:39:06.255672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입소정원구분
입소정원1.0000.000
구분0.0001.000

Missing values

2024-04-21T07:38:57.741747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T07:38:58.278950image/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(FAX)
0중구닥터김노인요양센터120중구, 태평로 304428-8808(431-9981)
1중구동산요양원20중구,달성로 83256-4020(257-4020)
2중구보람요양원19중구,명덕로 125257-8001(257-8004)
3중구남산요양원9중구 남산로7길 44255-6567(255-6568)
4중구문성요양복지센터9중구,명덕로217521-6162(521-2009)
5중구현대복지센터9중구,명덕로59626-7822(256-7822)
6동구신안사랑마을60대구시 동구 용천로77길 50 (신무동)985-9937 (985-9931)
7동구갓바위치매센타98대구시 동구 갓바위로 75 (진인동)986-7700(986-7702)
8동구동구소규모노인종합센터10대구시 동구 공항로31길 9-6 (불로동)983-9011(983-9237)
9동구마이홈노인전문요양원101대구시 동구 공항로31길 9 (불로동)983-0755 (983-0775)
구분시 설 명입소정원시설 소재지전화번호(FAX)
248달성군대한실버타운19달성군, 다사읍 달구벌대로 864591-6668(586-0665)
249달성군대한실버타운29달성군, 다사읍 달구벌대로 864591-6668(586-0665)
250달성군나오미행복한집9달성군, 하빈면 달구벌대로 35길 26-5591-2803(581-2803)
251달성군효자실버타운A9달성군,화원읍 사문진로 447638-0062
252달성군효자실버타운B9달성군,화원읍 사문진로 447639-0061
253달성군다사효실버타운8달성군, 논공읍 금강로10길 6-8617-0900(617-0123)
254달성군마음다해실버타운29달성군, 가창면 가창로 1049767-2619(768-2619)
255달성군다사랑요양원48달성군 다사읍 세천로10길 36-5583-1155(583-1153)
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