Overview

Dataset statistics

Number of variables3
Number of observations1523
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.3 KiB
Average record size in memory25.1 B

Variable types

Numeric1
Text2

Dataset

Description대구광역시_경로당 현황_20200831
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15069498&dataSetDetailId=150694981a3f559e147cb&provdMethod=FILE

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:02:47.978260
Analysis finished2024-04-21 02:02:49.189511
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1523
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean762
Minimum1
Maximum1523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-21T11:02:49.400857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile77.1
Q1381.5
median762
Q31142.5
95-th percentile1446.9
Maximum1523
Range1522
Interquartile range (IQR)761

Descriptive statistics

Standard deviation439.79654
Coefficient of variation (CV)0.57716082
Kurtosis-1.2
Mean762
Median Absolute Deviation (MAD)381
Skewness0
Sum1160526
Variance193421
MonotonicityStrictly increasing
2024-04-21T11:02:49.844114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1014 1
 
0.1%
1023 1
 
0.1%
1022 1
 
0.1%
1021 1
 
0.1%
1020 1
 
0.1%
1019 1
 
0.1%
1018 1
 
0.1%
1017 1
 
0.1%
1016 1
 
0.1%
Other values (1513) 1513
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1523 1
0.1%
1522 1
0.1%
1521 1
0.1%
1520 1
0.1%
1519 1
0.1%
1518 1
0.1%
1517 1
0.1%
1516 1
0.1%
1515 1
0.1%
1514 1
0.1%

경로당명
Text

Distinct1475
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-04-21T11:02:50.937500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length4.9054498
Min length2

Characters and Unicode

Total characters7471
Distinct characters366
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

Unique1437 ?
Unique (%)94.4%

Sample

1st row대4리
2nd row만촌3차화성파크드림
3rd row황금힐스테이트
4th row롯데캐슬더퍼스트2단지
5th row황금태왕아너스
ValueCountFrequency (%)
현대아파트 5
 
0.3%
청구아파트 4
 
0.3%
새마을 4
 
0.3%
제2 4
 
0.3%
화성파크드림 4
 
0.3%
신천3동 3
 
0.2%
태왕아너스 3
 
0.2%
우방아파트 3
 
0.2%
동화타운 3
 
0.2%
검단동 2
 
0.1%
Other values (1471) 1510
97.7%
2024-04-21T11:02:52.476681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 378
 
5.1%
성 234
 
3.1%
1 234
 
3.1%
동 220
 
2.9%
2 218
 
2.9%
아 173
 
2.3%
지 170
 
2.3%
파 143
 
1.9%
트 136
 
1.8%
산 129
 
1.7%
Other values (356) 5436
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6602
88.4%
Decimal Number 708
 
9.5%
Uppercase Letter 86
 
1.2%
Space Separator 22
 
0.3%
Lowercase Letter 16
 
0.2%
Open Punctuation 12
 
0.2%
Close Punctuation 12
 
0.2%
Other Punctuation 8
 
0.1%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 378
 
5.7%
성 234
 
3.5%
동 220
 
3.3%
아 173
 
2.6%
지 170
 
2.6%
파 143
 
2.2%
트 136
 
2.1%
산 129
 
2.0%
대 109
 
1.7%
서 107
 
1.6%
Other values (329) 4803
72.8%
Decimal Number
ValueCountFrequency (%)
1 234
33.1%
2 218
30.8%
3 96
13.6%
4 44
 
6.2%
5 33
 
4.7%
6 26
 
3.7%
7 23
 
3.2%
8 13
 
1.8%
9 11
 
1.6%
0 10
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
A 62
72.1%
H 8
 
9.3%
L 8
 
9.3%
S 2
 
2.3%
K 2
 
2.3%
C 2
 
2.3%
M 1
 
1.2%
D 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 12
75.0%
k 2
 
12.5%
s 2
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 5
62.5%
, 3
37.5%
Space Separator
ValueCountFrequency (%)
22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6602
88.4%
Common 767
 
10.3%
Latin 102
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 378
 
5.7%
성 234
 
3.5%
동 220
 
3.3%
아 173
 
2.6%
지 170
 
2.6%
파 143
 
2.2%
트 136
 
2.1%
산 129
 
2.0%
대 109
 
1.7%
서 107
 
1.6%
Other values (329) 4803
72.8%
Common
ValueCountFrequency (%)
1 234
30.5%
2 218
28.4%
3 96
12.5%
4 44
 
5.7%
5 33
 
4.3%
6 26
 
3.4%
7 23
 
3.0%
22
 
2.9%
8 13
 
1.7%
( 12
 
1.6%
Other values (6) 46
 
6.0%
Latin
ValueCountFrequency (%)
A 62
60.8%
e 12
 
11.8%
H 8
 
7.8%
L 8
 
7.8%
k 2
 
2.0%
s 2
 
2.0%
S 2
 
2.0%
K 2
 
2.0%
C 2
 
2.0%
M 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6602
88.4%
ASCII 869
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 378
 
5.7%
성 234
 
3.5%
동 220
 
3.3%
아 173
 
2.6%
지 170
 
2.6%
파 143
 
2.2%
트 136
 
2.1%
산 129
 
2.0%
대 109
 
1.7%
서 107
 
1.6%
Other values (329) 4803
72.8%
ASCII
ValueCountFrequency (%)
1 234
26.9%
2 218
25.1%
3 96
11.0%
A 62
 
7.1%
4 44
 
5.1%
5 33
 
3.8%
6 26
 
3.0%
7 23
 
2.6%
22
 
2.5%
8 13
 
1.5%
Other values (17) 98
11.3%

주소
Text

Distinct1501
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-04-21T11:02:53.999479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length65
Mean length13.947472
Min length7

Characters and Unicode

Total characters21242
Distinct characters301
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1480 ?
Unique (%)97.2%

Sample

1st row대구광역시 달성군 현풍읍 국가산단대로70길 41 (국가산단 서한이다음 아파트)
2nd row대구광역시 수성구 교학로 13 (만촌동, 만촌3차 화성파크드림)
3rd row대구광역시 수성구 청수로 274 (황금동, 힐스테이트 황금동)
4th row대구광역시 수성구 수성로69길 65 (수성동1가, 수성롯데캐슬더퍼스트2단지)
5th row대구광역시 수성구 청호로 345 (황금동, 태왕아너스아파트)
ValueCountFrequency (%)
달성군 305
 
6.5%
북구 275
 
5.8%
달서구 274
 
5.8%
수성구 250
 
5.3%
동구 215
 
4.5%
대구광역시 106
 
2.2%
서구 77
 
1.6%
남구 64
 
1.4%
달구벌대로 56
 
1.2%
중구 48
 
1.0%
Other values (1746) 3057
64.7%
2024-04-21T11:02:56.057578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3205
 
15.1%
구 1498
 
7.1%
로 1400
 
6.6%
1 1077
 
5.1%
길 906
 
4.3%
2 758
 
3.6%
달 681
 
3.2%
성 670
 
3.2%
3 655
 
3.1%
5 539
 
2.5%
Other values (291) 9853
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12008
56.5%
Decimal Number 5360
25.2%
Space Separator 3205
 
15.1%
Dash Punctuation 302
 
1.4%
Close Punctuation 139
 
0.7%
Open Punctuation 133
 
0.6%
Other Punctuation 84
 
0.4%
Uppercase Letter 8
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1498
 
12.5%
로 1400
 
11.7%
길 906
 
7.5%
달 681
 
5.7%
성 670
 
5.6%
동 502
 
4.2%
서 476
 
4.0%
대 369
 
3.1%
북 339
 
2.8%
수 309
 
2.6%
Other values (268) 4858
40.5%
Decimal Number
ValueCountFrequency (%)
1 1077
20.1%
2 758
14.1%
3 655
12.2%
5 539
10.1%
4 504
9.4%
6 436
8.1%
0 428
 
8.0%
7 391
 
7.3%
8 290
 
5.4%
9 282
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 61
72.6%
. 17
 
20.2%
/ 5
 
6.0%
· 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
L 4
50.0%
H 3
37.5%
B 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
h 1
33.3%
Space Separator
ValueCountFrequency (%)
3205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 302
100.0%
Close Punctuation
ValueCountFrequency (%)
) 139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12008
56.5%
Common 9223
43.4%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1498
 
12.5%
로 1400
 
11.7%
길 906
 
7.5%
달 681
 
5.7%
성 670
 
5.6%
동 502
 
4.2%
서 476
 
4.0%
대 369
 
3.1%
북 339
 
2.8%
수 309
 
2.6%
Other values (268) 4858
40.5%
Common
ValueCountFrequency (%)
3205
34.8%
1 1077
 
11.7%
2 758
 
8.2%
3 655
 
7.1%
5 539
 
5.8%
4 504
 
5.5%
6 436
 
4.7%
0 428
 
4.6%
7 391
 
4.2%
- 302
 
3.3%
Other values (8) 928
 
10.1%
Latin
ValueCountFrequency (%)
L 4
36.4%
H 3
27.3%
e 2
18.2%
B 1
 
9.1%
h 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12008
56.5%
ASCII 9233
43.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3205
34.7%
1 1077
 
11.7%
2 758
 
8.2%
3 655
 
7.1%
5 539
 
5.8%
4 504
 
5.5%
6 436
 
4.7%
0 428
 
4.6%
7 391
 
4.2%
- 302
 
3.3%
Other values (12) 938
 
10.2%
Hangul
ValueCountFrequency (%)
구 1498
 
12.5%
로 1400
 
11.7%
길 906
 
7.5%
달 681
 
5.7%
성 670
 
5.6%
동 502
 
4.2%
서 476
 
4.0%
대 369
 
3.1%
북 339
 
2.8%
수 309
 
2.6%
Other values (268) 4858
40.5%
None
ValueCountFrequency (%)
· 1
100.0%

Interactions

2024-04-21T11:02:48.502497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-21T11:02:48.848716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:02:49.090940image/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

연번경로당명주소
01대4리대구광역시 달성군 현풍읍 국가산단대로70길 41 (국가산단 서한이다음 아파트)
12만촌3차화성파크드림대구광역시 수성구 교학로 13 (만촌동, 만촌3차 화성파크드림)
23황금힐스테이트대구광역시 수성구 청수로 274 (황금동, 힐스테이트 황금동)
34롯데캐슬더퍼스트2단지대구광역시 수성구 수성로69길 65 (수성동1가, 수성롯데캐슬더퍼스트2단지)
45황금태왕아너스대구광역시 수성구 청호로 345 (황금동, 태왕아너스아파트)
56거성경로당대구광역시 수성구 용학로48길 25-1 거성경로당 (지산동)
67화성파크드림대구광역시 남구 대봉로14길 30 화성파크드림경로당 (봉덕동, 봉덕화성파크드림)
78남산역 화성파크드림대구광역시 중구 남산로7길 7 (남산동, 남산역 화성파크드림)
89수성2차우방타운대구광역시 수성구 청호로 330 수성2차우방타운 (황금동, 수성지구2차우방타운)
910교항7리대구광역시 달성군 옥포읍 금계길 12 (대구옥포르상트레빌)
연번경로당명주소
15131514라이프태평아파트중구 태평로177(태평로1가)
15141515봉산동중구 봉산문화길 1-4(봉산동)
15151516삼덕청아람중구 달구벌대로 447길77
15161517삼덕1.2가중구 공평로4길25(삼덕동2가)
15171518삼덕3가중구 달구벌대로 443길 44-40(삼덕동3가)
15181519동인삼정그린중구 동덕로30길 53
15191520동인3가중구 동덕로 38길85(동인동3가)
15201521동인시티중구 국채보상로 131길55(동인동1가,동인시티타운)
15211522동인4가중구 국채보상로 142길 33-41(동인동4가)
15221523동인1.2가중구 국채보상로679-13