Overview

Dataset statistics

Number of variables3
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory28.4 B

Variable types

Numeric1
Text2

Dataset

Description대구광역시_수성구_대기오염물질배출시설 설치 사업장 정보_20191125
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15053535&dataSetDetailId=150535352b9538b3c7cbe&provdMethod=FILE

Alerts

번호 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:28:50.355443
Analysis finished2023-12-10 17:28:51.516869
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-11T02:28:51.688360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2023-12-11T02:28:52.034455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
30 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
39 1
2.6%
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%
Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-11T02:28:52.710775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length9.4871795
Min length4

Characters and Unicode

Total characters370
Distinct characters127
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st row(주)대왕레미콘
2nd row(주)남부목재
3rd row남부자동차정비(주)
4th row(주)백산아스콘
5th row(주)삼우 대구공장
ValueCountFrequency (%)
수성정비센타 2
 
3.9%
주식회사 2
 
3.9%
한국교직원공제회 1
 
2.0%
주)황금자동차검사정비 1
 
2.0%
여양산업(주 1
 
2.0%
대구미술관 1
 
2.0%
천주성삼병원 1
 
2.0%
주)한라개발 1
 
2.0%
한라스포랜드 1
 
2.0%
주)호텔라온제나 1
 
2.0%
Other values (39) 39
76.5%
2023-12-11T02:28:53.753167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
5.9%
( 21
 
5.7%
) 21
 
5.7%
13
 
3.5%
12
 
3.2%
12
 
3.2%
11
 
3.0%
8
 
2.2%
7
 
1.9%
7
 
1.9%
Other values (117) 236
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 314
84.9%
Open Punctuation 21
 
5.7%
Close Punctuation 21
 
5.7%
Space Separator 12
 
3.2%
Other Symbol 1
 
0.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
7.0%
13
 
4.1%
12
 
3.8%
11
 
3.5%
8
 
2.5%
7
 
2.2%
7
 
2.2%
7
 
2.2%
7
 
2.2%
7
 
2.2%
Other values (112) 213
67.8%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
85.1%
Common 55
 
14.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
7.0%
13
 
4.1%
12
 
3.8%
11
 
3.5%
8
 
2.5%
7
 
2.2%
7
 
2.2%
7
 
2.2%
7
 
2.2%
7
 
2.2%
Other values (113) 214
67.9%
Common
ValueCountFrequency (%)
( 21
38.2%
) 21
38.2%
12
21.8%
2 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
84.9%
ASCII 55
 
14.9%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
22
 
7.0%
13
 
4.1%
12
 
3.8%
11
 
3.5%
8
 
2.5%
7
 
2.2%
7
 
2.2%
7
 
2.2%
7
 
2.2%
7
 
2.2%
Other values (112) 213
67.8%
ASCII
ValueCountFrequency (%)
( 21
38.2%
) 21
38.2%
12
21.8%
2 1
 
1.8%
None
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-11T02:28:54.521858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length28.102564
Min length19

Characters and Unicode

Total characters1096
Distinct characters112
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

Unique39 ?
Unique (%)100.0%

Sample

1st row대구광역시 수성구 욱수천로 54 (욱수동)
2nd row대구광역시 수성구 달구벌대로656길 24 (신매동)
3rd row대구광역시 수성구 욱수천로 90-17 (신매동)
4th row대구광역시 수성구 욱수천로 54-10 (욱수동)
5th row대구광역시 수성구 사월동 447번지
ValueCountFrequency (%)
대구광역시 39
18.3%
수성구 39
18.3%
범어동 10
 
4.7%
동대구로 6
 
2.8%
욱수동 5
 
2.3%
달구벌대로 4
 
1.9%
두산동 4
 
1.9%
지산동 3
 
1.4%
상동 3
 
1.4%
욱수천로 3
 
1.4%
Other values (87) 97
45.5%
2023-12-11T02:28:55.651369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
18.0%
97
 
8.9%
60
 
5.5%
53
 
4.8%
49
 
4.5%
45
 
4.1%
41
 
3.7%
41
 
3.7%
39
 
3.6%
) 35
 
3.2%
Other values (102) 439
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 689
62.9%
Space Separator 197
 
18.0%
Decimal Number 131
 
12.0%
Close Punctuation 35
 
3.2%
Open Punctuation 35
 
3.2%
Dash Punctuation 7
 
0.6%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
97
14.1%
60
 
8.7%
53
 
7.7%
49
 
7.1%
45
 
6.5%
41
 
6.0%
41
 
6.0%
39
 
5.7%
33
 
4.8%
14
 
2.0%
Other values (86) 217
31.5%
Decimal Number
ValueCountFrequency (%)
4 18
13.7%
2 17
13.0%
1 16
12.2%
6 15
11.5%
3 15
11.5%
5 13
9.9%
0 11
8.4%
9 11
8.4%
7 10
7.6%
8 5
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 689
62.9%
Common 405
37.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
97
14.1%
60
 
8.7%
53
 
7.7%
49
 
7.1%
45
 
6.5%
41
 
6.0%
41
 
6.0%
39
 
5.7%
33
 
4.8%
14
 
2.0%
Other values (86) 217
31.5%
Common
ValueCountFrequency (%)
197
48.6%
) 35
 
8.6%
( 35
 
8.6%
4 18
 
4.4%
2 17
 
4.2%
1 16
 
4.0%
6 15
 
3.7%
3 15
 
3.7%
5 13
 
3.2%
0 11
 
2.7%
Other values (4) 33
 
8.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 689
62.9%
ASCII 407
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
48.4%
) 35
 
8.6%
( 35
 
8.6%
4 18
 
4.4%
2 17
 
4.2%
1 16
 
3.9%
6 15
 
3.7%
3 15
 
3.7%
5 13
 
3.2%
0 11
 
2.7%
Other values (6) 35
 
8.6%
Hangul
ValueCountFrequency (%)
97
14.1%
60
 
8.7%
53
 
7.7%
49
 
7.1%
45
 
6.5%
41
 
6.0%
41
 
6.0%
39
 
5.7%
33
 
4.8%
14
 
2.0%
Other values (86) 217
31.5%

Interactions

2023-12-11T02:28:50.819824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:28:55.886859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업소명도로명주소
번호1.0000.9331.000
업소명0.9331.0001.000
도로명주소1.0001.0001.000

Missing values

2023-12-11T02:28:51.190076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:28:51.426600image/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

번호업소명도로명주소
01(주)대왕레미콘대구광역시 수성구 욱수천로 54 (욱수동)
12(주)남부목재대구광역시 수성구 달구벌대로656길 24 (신매동)
23남부자동차정비(주)대구광역시 수성구 욱수천로 90-17 (신매동)
34(주)백산아스콘대구광역시 수성구 욱수천로 54-10 (욱수동)
45(주)삼우 대구공장대구광역시 수성구 사월동 447번지
56삼성택시자동차(주)대구광역시 수성구 청수로26길 84 (두산동)
67수성정비센타대구광역시 수성구 유니버시아드로 350 (욱수동)
78(주)경동기업 자가2급정비공장대구광역시 수성구 청수로 92 (두산동)
89두산자동차종합정비대구광역시 수성구 신천동로 31 (상동 (639 639-7 641))
910대구광역시 시설관리공단 명복공원대구광역시 수성구 달구벌대로541길 541-47 (고모동)
번호업소명도로명주소
2930여양산업(주)대구광역시 수성구 화랑로 46 (만촌동 성원넥서스)
3031대구고등검찰청대구광역시 수성구 동대구로 364 (범어동 대구고등검찰청)
3132대구지방경찰청대구광역시 수성구 무학로 227 (지산동 대구지방경찰청)
3233주식회사 즐거운세상 인터불고 호텔지점대구광역시 수성구 팔현길 212 (만촌동 호텔인터불고)
3334수성경찰서대구광역시 수성구 달구벌대로 2460 (범어동 대구수성경찰서)
3435㈜와이제이그룹(짐매니아)대구광역시 수성구 달구벌대로 2382-1
3536생활자원회수센터(대구수성구)대구광역시 수성구 범물동 105-7번지
3637(주)황금자동차검사정비대구광역시 수성구 신천동로 25 (상동)
3738(주)지산자동차검사정비대구광역시 수성구 청호로 91 (지산동)
3839수성정비센타대구광역시 수성구 욱수동 94번지