Overview

Dataset statistics

Number of variables3
Number of observations173
Missing cells2
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory25.7 B

Variable types

Text2
Numeric1

Dataset

Description2017년 6월 대구동구이용업 현황
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3075342&dataSetDetailId=30753422c13187ff5432_201809191833&provdMethod=FILE

Alerts

업소소재지(도로명) has 2 (1.2%) missing valuesMissing

Reproduction

Analysis started2024-04-20 16:47:55.596384
Analysis finished2024-04-20 16:47:56.518217
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct157
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-21T01:47:57.203757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length4.8381503
Min length2

Characters and Unicode

Total characters837
Distinct characters162
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

Unique146 ?
Unique (%)84.4%

Sample

1st row둔산
2nd row방촌
3rd row정이용소
4th row경주
5th row절재이용소
ValueCountFrequency (%)
천연머리염색방 5
 
2.8%
새마을이용소 3
 
1.7%
팔공이용소 3
 
1.7%
대동이용소 2
 
1.1%
행복이용소 2
 
1.1%
명광이용소 2
 
1.1%
아성이용소 2
 
1.1%
신진이용소 2
 
1.1%
강촌이용소 2
 
1.1%
태후사랑 2
 
1.1%
Other values (150) 151
85.8%
2024-04-21T01:47:58.501446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 125
 
14.9%
용 125
 
14.9%
소 116
 
13.9%
동 19
 
2.3%
성 18
 
2.2%
대 14
 
1.7%
신 13
 
1.6%
천 12
 
1.4%
진 10
 
1.2%
영 8
 
1.0%
Other values (152) 377
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 832
99.4%
Space Separator 3
 
0.4%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 125
 
15.0%
용 125
 
15.0%
소 116
 
13.9%
동 19
 
2.3%
성 18
 
2.2%
대 14
 
1.7%
신 13
 
1.6%
천 12
 
1.4%
진 10
 
1.2%
영 8
 
1.0%
Other values (149) 372
44.7%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 832
99.4%
Common 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 125
 
15.0%
용 125
 
15.0%
소 116
 
13.9%
동 19
 
2.3%
성 18
 
2.2%
대 14
 
1.7%
신 13
 
1.6%
천 12
 
1.4%
진 10
 
1.2%
영 8
 
1.0%
Other values (149) 372
44.7%
Common
ValueCountFrequency (%)
3
60.0%
1 1
 
20.0%
2 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 832
99.4%
ASCII 5
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 125
 
15.0%
용 125
 
15.0%
소 116
 
13.9%
동 19
 
2.3%
성 18
 
2.2%
대 14
 
1.7%
신 13
 
1.6%
천 12
 
1.4%
진 10
 
1.2%
영 8
 
1.0%
Other values (149) 372
44.7%
ASCII
ValueCountFrequency (%)
3
60.0%
1 1
 
20.0%
2 1
 
20.0%

업소소재지(도로명)
Text

MISSING 

Distinct171
Distinct (%)100.0%
Missing2
Missing (%)1.2%
Memory size1.5 KiB
2024-04-21T01:47:59.515982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length25.707602
Min length20

Characters and Unicode

Total characters4396
Distinct characters136
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

Unique171 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 둔산로51길 41 (둔산동)
2nd row대구광역시 동구 아양로46길 67-4 (효목동)
3rd row대구광역시 동구 동촌로 145-9 (검사동)
4th row대구광역시 동구 동북로79길 24 (신암동)
5th row대구광역시 동구 아양로8길 12-1 (신암동)
ValueCountFrequency (%)
대구광역시 171
 
18.5%
동구 171
 
18.5%
신암동 40
 
4.3%
효목동 18
 
2.0%
신천동 17
 
1.8%
방촌동 14
 
1.5%
1층 14
 
1.5%
율하동 10
 
1.1%
아양로 10
 
1.1%
2층 8
 
0.9%
Other values (290) 449
48.7%
2024-04-21T01:48:00.972538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
751
17.1%
동 418
 
9.5%
구 344
 
7.8%
대 177
 
4.0%
로 174
 
4.0%
1 173
 
3.9%
시 172
 
3.9%
광 171
 
3.9%
역 171
 
3.9%
) 171
 
3.9%
Other values (126) 1674
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2527
57.5%
Space Separator 751
 
17.1%
Decimal Number 675
 
15.4%
Close Punctuation 171
 
3.9%
Open Punctuation 171
 
3.9%
Other Punctuation 68
 
1.5%
Dash Punctuation 29
 
0.7%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 418
16.5%
구 344
13.6%
대 177
 
7.0%
로 174
 
6.9%
시 172
 
6.8%
광 171
 
6.8%
역 171
 
6.8%
길 94
 
3.7%
신 92
 
3.6%
암 52
 
2.1%
Other values (106) 662
26.2%
Decimal Number
ValueCountFrequency (%)
1 173
25.6%
2 89
13.2%
3 78
11.6%
4 61
 
9.0%
0 57
 
8.4%
5 49
 
7.3%
9 48
 
7.1%
6 48
 
7.1%
8 37
 
5.5%
7 35
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 66
97.1%
. 1
 
1.5%
/ 1
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
T 1
25.0%
P 1
25.0%
Space Separator
ValueCountFrequency (%)
751
100.0%
Close Punctuation
ValueCountFrequency (%)
) 171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 171
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2527
57.5%
Common 1865
42.4%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 418
16.5%
구 344
13.6%
대 177
 
7.0%
로 174
 
6.9%
시 172
 
6.8%
광 171
 
6.8%
역 171
 
6.8%
길 94
 
3.7%
신 92
 
3.6%
암 52
 
2.1%
Other values (106) 662
26.2%
Common
ValueCountFrequency (%)
751
40.3%
1 173
 
9.3%
) 171
 
9.2%
( 171
 
9.2%
2 89
 
4.8%
3 78
 
4.2%
, 66
 
3.5%
4 61
 
3.3%
0 57
 
3.1%
5 49
 
2.6%
Other values (7) 199
 
10.7%
Latin
ValueCountFrequency (%)
A 2
50.0%
T 1
25.0%
P 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2527
57.5%
ASCII 1869
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
751
40.2%
1 173
 
9.3%
) 171
 
9.1%
( 171
 
9.1%
2 89
 
4.8%
3 78
 
4.2%
, 66
 
3.5%
4 61
 
3.3%
0 57
 
3.0%
5 49
 
2.6%
Other values (10) 203
 
10.9%
Hangul
ValueCountFrequency (%)
동 418
16.5%
구 344
13.6%
대 177
 
7.0%
로 174
 
6.9%
시 172
 
6.8%
광 171
 
6.8%
역 171
 
6.8%
길 94
 
3.7%
신 92
 
3.6%
암 52
 
2.1%
Other values (106) 662
26.2%

소재지면적
Real number (ℝ)

Distinct124
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.286358
Minimum3.2
Maximum219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T01:48:01.383416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile9.9
Q119.35
median26.4
Q340.2
95-th percentile130.716
Maximum219
Range215.8
Interquartile range (IQR)20.85

Descriptive statistics

Standard deviation37.111838
Coefficient of variation (CV)0.92120111
Kurtosis4.4869947
Mean40.286358
Median Absolute Deviation (MAD)9.9
Skewness2.099908
Sum6969.54
Variance1377.2885
MonotonicityNot monotonic
2024-04-21T01:48:01.804609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.5 15
 
8.7%
33.0 9
 
5.2%
23.1 8
 
4.6%
19.8 7
 
4.0%
9.9 3
 
1.7%
6.6 3
 
1.7%
29.7 3
 
1.7%
26.4 3
 
1.7%
23.0 2
 
1.2%
21.21 2
 
1.2%
Other values (114) 118
68.2%
ValueCountFrequency (%)
3.2 1
 
0.6%
5.51 1
 
0.6%
6.0 1
 
0.6%
6.24 1
 
0.6%
6.6 3
1.7%
7.5 1
 
0.6%
9.9 3
1.7%
10.1 1
 
0.6%
10.35 1
 
0.6%
11.5 1
 
0.6%
ValueCountFrequency (%)
219.0 1
0.6%
165.83 1
0.6%
158.0 1
0.6%
150.66 1
0.6%
141.91 1
0.6%
141.03 1
0.6%
139.07 1
0.6%
138.37 1
0.6%
131.04 1
0.6%
130.5 1
0.6%

Interactions

2024-04-21T01:47:55.880682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-21T01:47:56.178806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T01:47:56.422567image/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

업소명업소소재지(도로명)소재지면적
0둔산대구광역시 동구 둔산로51길 41 (둔산동)14.0
1방촌<NA>19.35
2정이용소대구광역시 동구 아양로46길 67-4 (효목동)19.8
3경주대구광역시 동구 동촌로 145-9 (검사동)18.9
4절재이용소대구광역시 동구 동북로79길 24 (신암동)29.47
5황금이용소대구광역시 동구 아양로8길 12-1 (신암동)15.12
6신도이용소대구광역시 동구 송라로 141 (신암동)24.35
7봉명대구광역시 동구 평화로 33 (신암동)16.5
8동화대구광역시 동구 송라로11길 2 (신천동)26.79
9한진이용소대구광역시 동구 동부로30길 39 (신천동)46.78
업소명업소소재지(도로명)소재지면적
163힐링사우나이용소대구광역시 동구 안심로22길 14, 301호 (율하동, 효원빌딩)13.2
164그린대구광역시 동구 장등로 34, 3층 (신천동)9.9
165천연머리염색방대구광역시 동구 동호로 89, 10호 (신서동, 동화해오름타운 101동)29.7
166팔공이용소대구광역시 동구 팔공산로 1676 (백안동)33.0
167동호휴랜드대구광역시 동구 안심로51길 97 (동호동)11.88
168천연머리염색방대구광역시 동구 율하동로26길 1, 1층 (신기동)42.9
169팔공산심천랜드남탕이용소대구광역시 동구 서촌로 145, 2층 (송정동)6.6
170팔공탕내이용소대구광역시 동구 팔공로101길 67, 3층 (지묘동)16.5
171청향이용소대구광역시 동구 신암북로7길 60-19 (신암동)23.1
172이화이용원대구광역시 동구 동부로 183, 지하1층 (효목동)138.37