Overview

Dataset statistics

Number of variables6
Number of observations360
Missing cells106
Missing cells (%)4.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.7 KiB
Average record size in memory50.4 B

Variable types

Numeric2
Categorical1
Text3

Dataset

Description예천군 노인복지시설(경로당) 현황 제공 (주소, 연락처 등)
Author경상북도 예천군
URLhttps://www.data.go.kr/data/15040044/fileData.do

Alerts

연번 is highly overall correlated with 읍면동High correlation
읍면동 is highly overall correlated with 연번High correlation
연락처 has 106 (29.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:19:04.722497
Analysis finished2023-12-12 11:19:06.322531
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct360
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.5
Minimum1
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T20:19:06.434926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.95
Q190.75
median180.5
Q3270.25
95-th percentile342.05
Maximum360
Range359
Interquartile range (IQR)179.5

Descriptive statistics

Standard deviation104.06729
Coefficient of variation (CV)0.57655006
Kurtosis-1.2
Mean180.5
Median Absolute Deviation (MAD)90
Skewness0
Sum64980
Variance10830
MonotonicityStrictly increasing
2023-12-12T20:19:06.684924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
249 1
 
0.3%
247 1
 
0.3%
246 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
Other values (350) 350
97.2%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
360 1
0.3%
359 1
0.3%
358 1
0.3%
357 1
0.3%
356 1
0.3%
355 1
0.3%
354 1
0.3%
353 1
0.3%
352 1
0.3%
351 1
0.3%

읍면동
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
예천읍
43 
호명면
39 
풍양면
39 
지보면
37 
감천면
33 
Other values (7)
169 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
예천읍 43
11.9%
호명면 39
10.8%
풍양면 39
10.8%
지보면 37
10.3%
감천면 33
9.2%
유천면 33
9.2%
용문면 31
8.6%
보문면 28
7.8%
은풍면 24
6.7%
용궁면 21
5.8%
Other values (2) 32
8.9%

Length

2023-12-12T20:19:06.944831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
예천읍 43
11.9%
호명면 39
10.8%
풍양면 39
10.8%
지보면 37
10.3%
감천면 33
9.2%
유천면 33
9.2%
용문면 31
8.6%
보문면 28
7.8%
은풍면 24
6.7%
용궁면 21
5.8%
Other values (2) 32
8.9%

경로당 명칭
Text

Distinct359
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T20:19:07.317197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length8.2277778
Min length5

Characters and Unicode

Total characters2962
Distinct characters224
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique358 ?
Unique (%)99.4%

Sample

1st row노상리 경로당
2nd row노하리 경로당
3rd row백전1(남) 경로당
4th row백전1(여) 경로당
5th row백전2리 경로당
ValueCountFrequency (%)
경로당 262
39.5%
우곡1리 3
 
0.5%
경북도청 3
 
0.5%
장산2리 3
 
0.5%
생천리 3
 
0.5%
신음 3
 
0.5%
신풍1리 2
 
0.3%
죽림리 2
 
0.3%
신풍2리 2
 
0.3%
장송 2
 
0.3%
Other values (370) 379
57.1%
2023-12-12T20:19:07.944601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 366
 
12.4%
경 365
 
12.3%
로 357
 
12.1%
336
 
11.3%
리 250
 
8.4%
2 87
 
2.9%
1 84
 
2.8%
) 42
 
1.4%
( 42
 
1.4%
산 34
 
1.1%
Other values (214) 999
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2359
79.6%
Space Separator 336
 
11.3%
Decimal Number 181
 
6.1%
Close Punctuation 42
 
1.4%
Open Punctuation 42
 
1.4%
Other Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 366
15.5%
경 365
15.5%
로 357
15.1%
리 250
 
10.6%
산 34
 
1.4%
신 30
 
1.3%
곡 27
 
1.1%
마 21
 
0.9%
지 18
 
0.8%
청 17
 
0.7%
Other values (206) 874
37.0%
Decimal Number
ValueCountFrequency (%)
2 87
48.1%
1 84
46.4%
3 10
 
5.5%
Space Separator
ValueCountFrequency (%)
336
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2359
79.6%
Common 602
 
20.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 366
15.5%
경 365
15.5%
로 357
15.1%
리 250
 
10.6%
산 34
 
1.4%
신 30
 
1.3%
곡 27
 
1.1%
마 21
 
0.9%
지 18
 
0.8%
청 17
 
0.7%
Other values (206) 874
37.0%
Common
ValueCountFrequency (%)
336
55.8%
2 87
 
14.5%
1 84
 
14.0%
) 42
 
7.0%
( 42
 
7.0%
3 10
 
1.7%
@ 1
 
0.2%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2359
79.6%
ASCII 603
 
20.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 366
15.5%
경 365
15.5%
로 357
15.1%
리 250
 
10.6%
산 34
 
1.4%
신 30
 
1.3%
곡 27
 
1.1%
마 21
 
0.9%
지 18
 
0.8%
청 17
 
0.7%
Other values (206) 874
37.0%
ASCII
ValueCountFrequency (%)
336
55.7%
2 87
 
14.4%
1 84
 
13.9%
) 42
 
7.0%
( 42
 
7.0%
3 10
 
1.7%
@ 1
 
0.2%
A 1
 
0.2%

회원수
Real number (ℝ)

Distinct83
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.191667
Minimum10
Maximum379
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T20:19:08.194893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile14.95
Q124
median33.5
Q346
95-th percentile90
Maximum379
Range369
Interquartile range (IQR)22

Descriptive statistics

Standard deviation37.414928
Coefficient of variation (CV)0.88678478
Kurtosis30.658362
Mean42.191667
Median Absolute Deviation (MAD)11.5
Skewness4.7375927
Sum15189
Variance1399.8768
MonotonicityNot monotonic
2023-12-12T20:19:08.437423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 15
 
4.2%
22 13
 
3.6%
29 13
 
3.6%
38 12
 
3.3%
30 12
 
3.3%
33 11
 
3.1%
21 11
 
3.1%
27 11
 
3.1%
45 10
 
2.8%
20 10
 
2.8%
Other values (73) 242
67.2%
ValueCountFrequency (%)
10 7
1.9%
11 2
 
0.6%
12 3
 
0.8%
13 2
 
0.6%
14 4
 
1.1%
15 6
1.7%
16 7
1.9%
18 6
1.7%
19 7
1.9%
20 10
2.8%
ValueCountFrequency (%)
379 1
0.3%
293 1
0.3%
279 1
0.3%
218 1
0.3%
216 1
0.3%
212 1
0.3%
153 1
0.3%
150 1
0.3%
135 1
0.3%
123 1
0.3%

주 소
Text

Distinct358
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T20:19:09.020302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length42
Mean length20.655556
Min length18

Characters and Unicode

Total characters7436
Distinct characters214
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

Unique356 ?
Unique (%)98.9%

Sample

1st row경상북도 예천군 예천읍 중앙로 6
2nd row경상북도 예천군 예천읍 맛고을길 61
3rd row경상북도 예천군 예천읍 군청길 74
4th row경상북도 예천군 예천읍 군청길 74
5th row경상북도 예천군 예천읍 밤나무골길 22
ValueCountFrequency (%)
경상북도 360
19.9%
예천군 360
19.9%
예천읍 43
 
2.4%
호명면 39
 
2.2%
지보면 37
 
2.0%
풍양면 37
 
2.0%
유천면 34
 
1.9%
감천면 33
 
1.8%
용문면 31
 
1.7%
보문면 28
 
1.6%
Other values (552) 803
44.5%
2023-12-12T20:19:09.806125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1446
19.4%
천 484
 
6.5%
예 407
 
5.5%
상 373
 
5.0%
도 371
 
5.0%
경 365
 
4.9%
군 363
 
4.9%
북 361
 
4.9%
면 318
 
4.3%
길 299
 
4.0%
Other values (204) 2649
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4824
64.9%
Space Separator 1446
 
19.4%
Decimal Number 1060
 
14.3%
Dash Punctuation 106
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 484
 
10.0%
예 407
 
8.4%
상 373
 
7.7%
도 371
 
7.7%
경 365
 
7.6%
군 363
 
7.5%
북 361
 
7.5%
면 318
 
6.6%
길 299
 
6.2%
풍 85
 
1.8%
Other values (192) 1398
29.0%
Decimal Number
ValueCountFrequency (%)
1 238
22.5%
2 147
13.9%
3 114
10.8%
4 110
10.4%
7 89
 
8.4%
6 89
 
8.4%
5 82
 
7.7%
9 72
 
6.8%
8 67
 
6.3%
0 52
 
4.9%
Space Separator
ValueCountFrequency (%)
1446
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4824
64.9%
Common 2612
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 484
 
10.0%
예 407
 
8.4%
상 373
 
7.7%
도 371
 
7.7%
경 365
 
7.6%
군 363
 
7.5%
북 361
 
7.5%
면 318
 
6.6%
길 299
 
6.2%
풍 85
 
1.8%
Other values (192) 1398
29.0%
Common
ValueCountFrequency (%)
1446
55.4%
1 238
 
9.1%
2 147
 
5.6%
3 114
 
4.4%
4 110
 
4.2%
- 106
 
4.1%
7 89
 
3.4%
6 89
 
3.4%
5 82
 
3.1%
9 72
 
2.8%
Other values (2) 119
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4824
64.9%
ASCII 2612
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1446
55.4%
1 238
 
9.1%
2 147
 
5.6%
3 114
 
4.4%
4 110
 
4.2%
- 106
 
4.1%
7 89
 
3.4%
6 89
 
3.4%
5 82
 
3.1%
9 72
 
2.8%
Other values (2) 119
 
4.6%
Hangul
ValueCountFrequency (%)
천 484
 
10.0%
예 407
 
8.4%
상 373
 
7.7%
도 371
 
7.7%
경 365
 
7.6%
군 363
 
7.5%
북 361
 
7.5%
면 318
 
6.6%
길 299
 
6.2%
풍 85
 
1.8%
Other values (192) 1398
29.0%

연락처
Text

MISSING 

Distinct253
Distinct (%)99.6%
Missing106
Missing (%)29.4%
Memory size2.9 KiB
2023-12-12T20:19:10.216431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.019685
Min length8

Characters and Unicode

Total characters2037
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

Unique252 ?
Unique (%)99.2%

Sample

1st row654-3572
2nd row653-4840
3rd row654-8825
4th row652-5600
5th row653-5953
ValueCountFrequency (%)
652-2381 2
 
0.8%
655-2117 1
 
0.4%
655-1209 1
 
0.4%
653-1125 1
 
0.4%
652-1337 1
 
0.4%
652-9149 1
 
0.4%
652-4668 1
 
0.4%
652-4445 1
 
0.4%
655-3350 1
 
0.4%
653-6240 1
 
0.4%
Other values (243) 243
95.7%
2023-12-12T20:19:10.944165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 437
21.5%
6 333
16.3%
- 255
12.5%
3 189
9.3%
2 186
9.1%
4 136
 
6.7%
0 116
 
5.7%
8 112
 
5.5%
1 107
 
5.3%
9 84
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1782
87.5%
Dash Punctuation 255
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 437
24.5%
6 333
18.7%
3 189
10.6%
2 186
10.4%
4 136
 
7.6%
0 116
 
6.5%
8 112
 
6.3%
1 107
 
6.0%
9 84
 
4.7%
7 82
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2037
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 437
21.5%
6 333
16.3%
- 255
12.5%
3 189
9.3%
2 186
9.1%
4 136
 
6.7%
0 116
 
5.7%
8 112
 
5.5%
1 107
 
5.3%
9 84
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2037
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 437
21.5%
6 333
16.3%
- 255
12.5%
3 189
9.3%
2 186
9.1%
4 136
 
6.7%
0 116
 
5.7%
8 112
 
5.5%
1 107
 
5.3%
9 84
 
4.1%

Interactions

2023-12-12T20:19:05.638904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:19:05.238248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:19:05.827269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:19:05.435425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:19:11.132216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동회원수
연번1.0000.9720.310
읍면동0.9721.0000.310
회원수0.3100.3101.000
2023-12-12T20:19:11.275617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회원수읍면동
연번1.000-0.0670.883
회원수-0.0671.0000.154
읍면동0.8830.1541.000

Missing values

2023-12-12T20:19:06.068199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:19:06.247758image/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

연번읍면동경로당 명칭회원수주 소연락처
01예천읍노상리 경로당90경상북도 예천군 예천읍 중앙로 6654-3572
12예천읍노하리 경로당112경상북도 예천군 예천읍 맛고을길 61<NA>
23예천읍백전1(남) 경로당38경상북도 예천군 예천읍 군청길 74653-4840
34예천읍백전1(여) 경로당40경상북도 예천군 예천읍 군청길 74654-8825
45예천읍백전2리 경로당83경상북도 예천군 예천읍 밤나무골길 22652-5600
56예천읍동본1리 경로당103경상북도 예천군 예천읍 상설시장 2길 19-1653-5953
67예천읍동본2리 경로당50경상북도 예천군 예천읍 보문로 42-7653-9868
78예천읍남본1리 경로당216경상북도 예천군 예천읍 맛고을길 14<NA>
89예천읍남본2리 경로당110경상북도 예천군 예천읍 남부초등길 8-2<NA>
910예천읍남산 경로당83경상북도 예천군 예천읍 남산공원길 9-3<NA>
연번읍면동경로당 명칭회원수주 소연락처
350351풍양면공덕3리(봉림)경로당36경상북도 예천군 풍양면 삼강로 226655-0338
351352풍양면낙상1리(삼탄)경로당38경상북도 예천군 풍양면 삼탄길 141<NA>
352353풍양면낙상2리(공암)경로당279경상북도 예천군 풍양면 낙상1길 49-9653-8847
353354풍양면낙상2리 할머니경로당10경상북도 예천군 풍양면 낙상2길 49653-9865
354355풍양면낙상3리(새터)경로당33경상북도 예천군 풍양면 상풍로 1348-4<NA>
355356풍양면낙상3리(들마)경로당30경상북도 예천군 풍양면 상풍로 1234-8<NA>
356357풍양면와룡1리(모라물)경로당90경상북도 예천군 풍양면 영풍로 172-19653-8857
357358풍양면와룡2리(서동)경로당46경상북도 예천군 풍양면 와룡길 63-6<NA>
358359풍양면효갈1리(갈밭)경로당32경상북도 예천군 풍양면 덕암로 1118-10653-0233
359360풍양면효갈2리(효제)경로당48경상북도 예천군 풍양면 덕암로 1269<NA>