Overview

Dataset statistics

Number of variables4
Number of observations658
Missing cells0
Missing cells (%)0.0%
Duplicate rows17
Duplicate rows (%)2.6%
Total size in memory20.7 KiB
Average record size in memory32.2 B

Variable types

Text3
DateTime1

Dataset

Description대구광역시 북구 관내에서 운영 중인 지하수 현황(용도, 소재지지번주소, 도로명주소,기준일자 ) 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15006310/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 17 (2.6%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 06:03:44.956917
Analysis finished2023-12-12 06:03:45.464629
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

용도
Text

Distinct86
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-12T15:03:45.636415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length4
Mean length5.1215805
Min length3

Characters and Unicode

Total characters3370
Distinct characters81
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)6.8%

Sample

1st row농업용수
2nd row생활용수
3rd row생활용
4th row세차용수
5th row냉각용수
ValueCountFrequency (%)
생활용수 179
26.6%
농업용수 75
11.2%
생활용 71
 
10.6%
농업용 61
 
9.1%
생활용/학교용(지열냉난방시설 33
 
4.9%
청소용수 32
 
4.8%
공업용수 15
 
2.2%
생활용수(청소용 13
 
1.9%
공업용 11
 
1.6%
위생용수 10
 
1.5%
Other values (80) 172
25.6%
2023-12-12T15:03:46.059275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
769
22.8%
397
11.8%
351
10.4%
340
10.1%
203
 
6.0%
169
 
5.0%
) 104
 
3.1%
( 104
 
3.1%
65
 
1.9%
62
 
1.8%
Other values (71) 806
23.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3070
91.1%
Close Punctuation 118
 
3.5%
Open Punctuation 118
 
3.5%
Other Punctuation 48
 
1.4%
Space Separator 14
 
0.4%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
769
25.0%
397
12.9%
351
11.4%
340
11.1%
203
 
6.6%
169
 
5.5%
65
 
2.1%
62
 
2.0%
43
 
1.4%
42
 
1.4%
Other values (62) 629
20.5%
Close Punctuation
ValueCountFrequency (%)
) 104
88.1%
14
 
11.9%
Open Punctuation
ValueCountFrequency (%)
( 104
88.1%
14
 
11.9%
Other Punctuation
ValueCountFrequency (%)
/ 45
93.8%
· 3
 
6.2%
Space Separator
ValueCountFrequency (%)
14
100.0%
Math Symbol
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3070
91.1%
Common 300
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
769
25.0%
397
12.9%
351
11.4%
340
11.1%
203
 
6.6%
169
 
5.5%
65
 
2.1%
62
 
2.0%
43
 
1.4%
42
 
1.4%
Other values (62) 629
20.5%
Common
ValueCountFrequency (%)
) 104
34.7%
( 104
34.7%
/ 45
15.0%
14
 
4.7%
14
 
4.7%
14
 
4.7%
· 3
 
1.0%
1
 
0.3%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3070
91.1%
ASCII 268
 
8.0%
None 31
 
0.9%
Arrows 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
769
25.0%
397
12.9%
351
11.4%
340
11.1%
203
 
6.6%
169
 
5.5%
65
 
2.1%
62
 
2.0%
43
 
1.4%
42
 
1.4%
Other values (62) 629
20.5%
ASCII
ValueCountFrequency (%)
) 104
38.8%
( 104
38.8%
/ 45
16.8%
14
 
5.2%
- 1
 
0.4%
None
ValueCountFrequency (%)
14
45.2%
14
45.2%
· 3
 
9.7%
Arrows
ValueCountFrequency (%)
1
100.0%
Distinct580
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-12T15:03:46.401450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length20.018237
Min length16

Characters and Unicode

Total characters13172
Distinct characters61
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique550 ?
Unique (%)83.6%

Sample

1st row대구광역시 북구 조야동 124번지 1호
2nd row대구광역시 북구 학정동 91번지 1호
3rd row대구광역시 북구 산격동 734번지 1호
4th row대구광역시 북구 고성동3가 133번지 1호
5th row대구광역시 북구 노원동2가 18번지 1호
ValueCountFrequency (%)
대구광역시 658
21.9%
북구 658
21.9%
1호 109
 
3.6%
칠성동1가 77
 
2.6%
2호 65
 
2.2%
복현동 61
 
2.0%
서변동 54
 
1.8%
도남동 44
 
1.5%
국우동 44
 
1.5%
573번지 43
 
1.4%
Other values (485) 1185
39.5%
2023-12-12T15:03:46.828429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2340
17.8%
1343
 
10.2%
697
 
5.3%
666
 
5.1%
658
 
5.0%
658
 
5.0%
658
 
5.0%
658
 
5.0%
658
 
5.0%
658
 
5.0%
Other values (51) 4178
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8390
63.7%
Decimal Number 2442
 
18.5%
Space Separator 2340
 
17.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1343
16.0%
697
8.3%
666
7.9%
658
7.8%
658
7.8%
658
7.8%
658
7.8%
658
7.8%
658
7.8%
403
 
4.8%
Other values (40) 1333
15.9%
Decimal Number
ValueCountFrequency (%)
1 487
19.9%
3 294
12.0%
5 277
11.3%
2 276
11.3%
7 257
10.5%
4 223
9.1%
6 172
 
7.0%
0 157
 
6.4%
8 151
 
6.2%
9 148
 
6.1%
Space Separator
ValueCountFrequency (%)
2340
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8390
63.7%
Common 4782
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1343
16.0%
697
8.3%
666
7.9%
658
7.8%
658
7.8%
658
7.8%
658
7.8%
658
7.8%
658
7.8%
403
 
4.8%
Other values (40) 1333
15.9%
Common
ValueCountFrequency (%)
2340
48.9%
1 487
 
10.2%
3 294
 
6.1%
5 277
 
5.8%
2 276
 
5.8%
7 257
 
5.4%
4 223
 
4.7%
6 172
 
3.6%
0 157
 
3.3%
8 151
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8390
63.7%
ASCII 4782
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2340
48.9%
1 487
 
10.2%
3 294
 
6.1%
5 277
 
5.8%
2 276
 
5.8%
7 257
 
5.4%
4 223
 
4.7%
6 172
 
3.6%
0 157
 
3.3%
8 151
 
3.2%
Hangul
ValueCountFrequency (%)
1343
16.0%
697
8.3%
666
7.9%
658
7.8%
658
7.8%
658
7.8%
658
7.8%
658
7.8%
658
7.8%
403
 
4.8%
Other values (40) 1333
15.9%
Distinct417
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-12T15:03:47.195207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length49
Mean length23.194529
Min length3

Characters and Unicode

Total characters15262
Distinct characters310
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

Unique383 ?
Unique (%)58.2%

Sample

1st row대구광역시 북구 동북로 131101동 801호 (산격동산격양우내안애아파트)
2nd row대구광역시 북구 동변로 50 105동 501호 (동변동유니버시아드선수촌)
3rd row대구광역시 북구 연암로42길 2 (산격동)
4th row
5th row
ValueCountFrequency (%)
대구광역시 488
 
16.4%
북구 394
 
13.3%
산격동 63
 
2.1%
침산동 50
 
1.7%
대학로 45
 
1.5%
80 44
 
1.5%
옥산로 36
 
1.2%
65 35
 
1.2%
칠성동1가 33
 
1.1%
서변동 33
 
1.1%
Other values (932) 1748
58.9%
2023-12-12T15:03:47.760632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2873
18.8%
1062
 
7.0%
736
 
4.8%
672
 
4.4%
553
 
3.6%
1 546
 
3.6%
497
 
3.3%
493
 
3.2%
( 480
 
3.1%
) 480
 
3.1%
Other values (300) 6870
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8805
57.7%
Space Separator 2873
 
18.8%
Decimal Number 2491
 
16.3%
Open Punctuation 480
 
3.1%
Close Punctuation 480
 
3.1%
Dash Punctuation 106
 
0.7%
Uppercase Letter 22
 
0.1%
Lowercase Letter 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1062
 
12.1%
736
 
8.4%
672
 
7.6%
553
 
6.3%
497
 
5.6%
493
 
5.6%
451
 
5.1%
438
 
5.0%
251
 
2.9%
220
 
2.5%
Other values (271) 3432
39.0%
Uppercase Letter
ValueCountFrequency (%)
S 5
22.7%
K 4
18.2%
A 3
13.6%
O 2
 
9.1%
P 1
 
4.5%
T 1
 
4.5%
D 1
 
4.5%
B 1
 
4.5%
M 1
 
4.5%
Z 1
 
4.5%
Other values (2) 2
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 546
21.9%
0 384
15.4%
2 353
14.2%
5 225
9.0%
3 223
9.0%
4 200
 
8.0%
6 187
 
7.5%
8 147
 
5.9%
9 113
 
4.5%
7 113
 
4.5%
Other Punctuation
ValueCountFrequency (%)
@ 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
2873
100.0%
Open Punctuation
ValueCountFrequency (%)
( 480
100.0%
Close Punctuation
ValueCountFrequency (%)
) 480
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8805
57.7%
Common 6432
42.1%
Latin 25
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1062
 
12.1%
736
 
8.4%
672
 
7.6%
553
 
6.3%
497
 
5.6%
493
 
5.6%
451
 
5.1%
438
 
5.0%
251
 
2.9%
220
 
2.5%
Other values (271) 3432
39.0%
Common
ValueCountFrequency (%)
2873
44.7%
1 546
 
8.5%
( 480
 
7.5%
) 480
 
7.5%
0 384
 
6.0%
2 353
 
5.5%
5 225
 
3.5%
3 223
 
3.5%
4 200
 
3.1%
6 187
 
2.9%
Other values (6) 481
 
7.5%
Latin
ValueCountFrequency (%)
S 5
20.0%
K 4
16.0%
A 3
12.0%
e 3
12.0%
O 2
 
8.0%
P 1
 
4.0%
T 1
 
4.0%
D 1
 
4.0%
B 1
 
4.0%
M 1
 
4.0%
Other values (3) 3
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8805
57.7%
ASCII 6457
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2873
44.5%
1 546
 
8.5%
( 480
 
7.4%
) 480
 
7.4%
0 384
 
5.9%
2 353
 
5.5%
5 225
 
3.5%
3 223
 
3.5%
4 200
 
3.1%
6 187
 
2.9%
Other values (19) 506
 
7.8%
Hangul
ValueCountFrequency (%)
1062
 
12.1%
736
 
8.4%
672
 
7.6%
553
 
6.3%
497
 
5.6%
493
 
5.6%
451
 
5.1%
438
 
5.0%
251
 
2.9%
220
 
2.5%
Other values (271) 3432
39.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2023-08-16 00:00:00
Maximum2023-08-16 00:00:00
2023-12-12T15:03:47.880976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:03:47.978884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T15:03:45.323599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:03:45.429471image/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

용도소재지주소소재지도로명데이터기준일자
0농업용수대구광역시 북구 조야동 124번지 1호대구광역시 북구 동북로 131101동 801호 (산격동산격양우내안애아파트)2023-08-16
1생활용수대구광역시 북구 학정동 91번지 1호대구광역시 북구 동변로 50 105동 501호 (동변동유니버시아드선수촌)2023-08-16
2생활용대구광역시 북구 산격동 734번지 1호대구광역시 북구 연암로42길 2 (산격동)2023-08-16
3세차용수대구광역시 북구 고성동3가 133번지 1호2023-08-16
4냉각용수대구광역시 북구 노원동2가 18번지 1호2023-08-16
5생활용수대구광역시 북구 서변동 1724번지 1호대구광역시 북구 침산로 73 (고성동3가대구도시개발공사)2023-08-16
6세차용수대구광역시 북구 대현동 158번지 1호서울특별시 종로구 종로 26 SK빌딩 (서린동)2023-08-16
7생활용수대구광역시 북구 산격동 500번지 1호대구광역시 북구 산격동 500번지 1호 20통 4반 산격대우아파트 107동 1004호2023-08-16
8세차용수대구광역시 북구 태전동 835번지 1호대구광역시 북구 노원로 139-6 (노원동3가)2023-08-16
9생활용대구광역시 북구 산격동 1238번지 1호대구광역시 북구 동북로 156 (산격동)2023-08-16
용도소재지주소소재지도로명데이터기준일자
648생활용수대구광역시 북구 도남동 361번지2023-08-16
649생활용수대구광역시 북구 서변동 529번지2023-08-16
650농업용수대구광역시 북구 도남동 317번지대구광역시 북구 도남길 188-22 (도남동)2023-08-16
651농업용수(버섯재배)대구광역시 북구 국우동 655번지대구광역시 북구 도남길 45-14 (국우동)2023-08-16
652생활용대구광역시 북구 복현동 105번지대구광역시 북구 공항로15길 24 (복현동경상고등학교)2023-08-16
653생활용수대구광역시 북구 도남동 402번지2023-08-16
654생활용수대구광역시 북구 국우동 454번지대구광역시 북구 국우동 454번지 (323-6259)2023-08-16
655농업용대구광역시 북구 팔달동 340번지대구광역시 북구 침산로 153 104동 1006호 (침산동명성푸르지오)2023-08-16
656생활용수(청소용)대구광역시 북구 칠성동1가 17번지2023-08-16
657농업용대구광역시 북구 도남동 751번지대구광역시 북구 도남길 30 (국우동)2023-08-16

Duplicate rows

Most frequently occurring

용도소재지주소소재지도로명데이터기준일자# duplicates
6생활용/학교용(지열냉난방시설)대구광역시 북구 복현동 573번지대구광역시 북구 대학로 80 경북대학교 (산격동)2023-08-1618
5생활용/학교용(지열냉난방시설)대구광역시 북구 복현동 573번지대구광역시 북구 대학로 80 (산격동)2023-08-1615
13생활용수(지열용)대구광역시 북구 복현동 573번지대구광역시 북구 대학로 80 (산격동)2023-08-169
3생활용대구광역시 북구 구암동 786번지대구광역시 북구 구암서로 41 (구암동)2023-08-164
11생활용수대구광역시 북구 태전동 940번지대구광역시 북구 칠곡중앙대로 411 (태전동 우영펠리스)2023-08-163
0공업용대구광역시 북구 침산동 561번지대구광역시 북구 침산로 205 (침산동 무림에스피(주))2023-08-162
1농업용/콩나물 재배대구광역시 북구 도남동 13번지 2호대구광역시 북구 학정로110길 29 103동 901호 (학정동 학정청아람)2023-08-162
2생활용대구광역시 북구 구암동 772번지대구광역시 북구 구암서로 70 (구암동)2023-08-162
4생활용대구광역시 북구 칠성동1가 71번지 2호대구광역시 북구 칠성시장로3길 26-4 (칠성동1가)2023-08-162
7생활용수대구광역시 북구 구암동 769번지 3호대구광역시 서구 팔달로 158 (비산동)2023-08-162