Overview

Dataset statistics

Number of variables5
Number of observations170
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory41.8 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description서울특별시 종로구 관내 공장 현황에 대한 데이터로 회사명, 주소, 업종명(생산품) 등의 공공데이터 항목을 제공합니다.
Author서울특별시 종로구
URLhttps://www.data.go.kr/data/3077469/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:15:41.755027
Analysis finished2023-12-12 23:15:42.391244
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.5
Minimum1
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:15:42.491405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.45
Q143.25
median85.5
Q3127.75
95-th percentile161.55
Maximum170
Range169
Interquartile range (IQR)84.5

Descriptive statistics

Standard deviation49.218899
Coefficient of variation (CV)0.57565964
Kurtosis-1.2
Mean85.5
Median Absolute Deviation (MAD)42.5
Skewness0
Sum14535
Variance2422.5
MonotonicityStrictly increasing
2023-12-13T08:15:42.648569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
118 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
Other values (160) 160
94.1%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%

회사명
Text

Distinct167
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T08:15:42.882948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length6.9941176
Min length2

Characters and Unicode

Total characters1189
Distinct characters266
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)97.1%

Sample

1st row(유)종로과학상사
2nd row(주)계문사
3rd row(주)골드팡
4th row(주)광원어패럴
5th row(주)그레이포인트
ValueCountFrequency (%)
주식회사 11
 
5.8%
주)우리전열 3
 
1.6%
파츠파츠 2
 
1.0%
신풍상사 1
 
0.5%
싸강 1
 
0.5%
엘카 1
 
0.5%
엘투산업 1
 
0.5%
엠알리무대의상 1
 
0.5%
영창사 1
 
0.5%
오주기획 1
 
0.5%
Other values (168) 168
88.0%
2023-12-13T08:15:43.323471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 101
 
8.5%
) 85
 
7.1%
( 82
 
6.9%
사 38
 
3.2%
이 35
 
2.9%
21
 
1.8%
리 18
 
1.5%
스 18
 
1.5%
인 17
 
1.4%
아 15
 
1.3%
Other values (256) 759
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 997
83.9%
Close Punctuation 85
 
7.1%
Open Punctuation 82
 
6.9%
Space Separator 21
 
1.8%
Other Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 101
 
10.1%
사 38
 
3.8%
이 35
 
3.5%
리 18
 
1.8%
스 18
 
1.8%
인 17
 
1.7%
아 15
 
1.5%
회 14
 
1.4%
명 14
 
1.4%
식 14
 
1.4%
Other values (250) 713
71.5%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
D 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 997
83.9%
Common 190
 
16.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 101
 
10.1%
사 38
 
3.8%
이 35
 
3.5%
리 18
 
1.8%
스 18
 
1.8%
인 17
 
1.7%
아 15
 
1.5%
회 14
 
1.4%
명 14
 
1.4%
식 14
 
1.4%
Other values (250) 713
71.5%
Common
ValueCountFrequency (%)
) 85
44.7%
( 82
43.2%
21
 
11.1%
. 2
 
1.1%
Latin
ValueCountFrequency (%)
P 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 997
83.9%
ASCII 192
 
16.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 101
 
10.1%
사 38
 
3.8%
이 35
 
3.5%
리 18
 
1.8%
스 18
 
1.8%
인 17
 
1.7%
아 15
 
1.5%
회 14
 
1.4%
명 14
 
1.4%
식 14
 
1.4%
Other values (250) 713
71.5%
ASCII
ValueCountFrequency (%)
) 85
44.3%
( 82
42.7%
21
 
10.9%
. 2
 
1.0%
P 1
 
0.5%
D 1
 
0.5%

도로명주소
Text

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T08:15:43.711430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length37
Mean length30.070588
Min length17

Characters and Unicode

Total characters5112
Distinct characters175
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

Unique170 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 지봉로14길 8-6 (숭인동)
2nd row서울특별시 종로구 자하문로1길 41 (필운동)
3rd row서울특별시 종로구 돈화문로5가길 1 (돈의동) 피카디리플러스 7층 제7-2호
4th row서울특별시 종로구 창경궁로 230 (명륜4가)
5th row서울특별시 종로구 명륜길 4, 2층 (명륜1가)
ValueCountFrequency (%)
서울특별시 170
 
16.9%
종로구 170
 
16.9%
원남동 22
 
2.2%
2층 13
 
1.3%
청계천로 12
 
1.2%
종로5가 11
 
1.1%
숭인동 11
 
1.1%
4층 10
 
1.0%
3층 9
 
0.9%
관수동 8
 
0.8%
Other values (366) 572
56.7%
2023-12-13T08:15:44.223170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
838
 
16.4%
로 326
 
6.4%
종 215
 
4.2%
서 179
 
3.5%
구 173
 
3.4%
울 173
 
3.4%
시 171
 
3.3%
1 171
 
3.3%
특 170
 
3.3%
별 170
 
3.3%
Other values (165) 2526
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2951
57.7%
Space Separator 838
 
16.4%
Decimal Number 787
 
15.4%
Open Punctuation 165
 
3.2%
Close Punctuation 165
 
3.2%
Other Punctuation 141
 
2.8%
Dash Punctuation 57
 
1.1%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 326
 
11.0%
종 215
 
7.3%
서 179
 
6.1%
구 173
 
5.9%
울 173
 
5.9%
시 171
 
5.8%
특 170
 
5.8%
별 170
 
5.8%
동 170
 
5.8%
길 107
 
3.6%
Other values (144) 1097
37.2%
Decimal Number
ValueCountFrequency (%)
1 171
21.7%
2 143
18.2%
3 84
10.7%
5 74
9.4%
0 69
8.8%
6 67
 
8.5%
4 60
 
7.6%
8 46
 
5.8%
7 41
 
5.2%
9 32
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
37.5%
C 1
 
12.5%
M 1
 
12.5%
Y 1
 
12.5%
L 1
 
12.5%
A 1
 
12.5%
Space Separator
ValueCountFrequency (%)
838
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Other Punctuation
ValueCountFrequency (%)
, 141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2951
57.7%
Common 2153
42.1%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 326
 
11.0%
종 215
 
7.3%
서 179
 
6.1%
구 173
 
5.9%
울 173
 
5.9%
시 171
 
5.8%
특 170
 
5.8%
별 170
 
5.8%
동 170
 
5.8%
길 107
 
3.6%
Other values (144) 1097
37.2%
Common
ValueCountFrequency (%)
838
38.9%
1 171
 
7.9%
( 165
 
7.7%
) 165
 
7.7%
2 143
 
6.6%
, 141
 
6.5%
3 84
 
3.9%
5 74
 
3.4%
0 69
 
3.2%
6 67
 
3.1%
Other values (5) 236
 
11.0%
Latin
ValueCountFrequency (%)
B 3
37.5%
C 1
 
12.5%
M 1
 
12.5%
Y 1
 
12.5%
L 1
 
12.5%
A 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2951
57.7%
ASCII 2161
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
838
38.8%
1 171
 
7.9%
( 165
 
7.6%
) 165
 
7.6%
2 143
 
6.6%
, 141
 
6.5%
3 84
 
3.9%
5 74
 
3.4%
0 69
 
3.2%
6 67
 
3.1%
Other values (11) 244
 
11.3%
Hangul
ValueCountFrequency (%)
로 326
 
11.0%
종 215
 
7.3%
서 179
 
6.1%
구 173
 
5.9%
울 173
 
5.9%
시 171
 
5.8%
특 170
 
5.8%
별 170
 
5.8%
동 170
 
5.8%
길 107
 
3.6%
Other values (144) 1097
37.2%

업종명(생산품)
Text

Distinct90
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T08:15:44.576295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length15.611765
Min length5

Characters and Unicode

Total characters2654
Distinct characters156
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

Unique68 ?
Unique (%)40.0%

Sample

1st row전자기 측정, 시험 및 분석기구 제조업 외 2 종
2nd row기타 인쇄업 외 2 종
3rd row귀금속 및 관련제품 제조업
4th row그 외 기타 의복액세서리 제조업
5th row전시용 모형 제조업
ValueCountFrequency (%)
제조업 145
16.7%
외 86
 
9.9%
및 74
 
8.5%
종 73
 
8.4%
기타 39
 
4.5%
관련제품 34
 
3.9%
귀금속 30
 
3.5%
1 28
 
3.2%
전기 20
 
2.3%
인쇄업 20
 
2.3%
Other values (120) 320
36.8%
2023-12-13T08:15:45.061531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
699
26.3%
제 195
 
7.3%
업 185
 
7.0%
조 166
 
6.3%
기 99
 
3.7%
외 88
 
3.3%
및 74
 
2.8%
종 73
 
2.8%
용 55
 
2.1%
복 46
 
1.7%
Other values (146) 974
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1861
70.1%
Space Separator 699
 
26.3%
Decimal Number 76
 
2.9%
Other Punctuation 18
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 195
 
10.5%
업 185
 
9.9%
조 166
 
8.9%
기 99
 
5.3%
외 88
 
4.7%
및 74
 
4.0%
종 73
 
3.9%
용 55
 
3.0%
복 46
 
2.5%
품 44
 
2.4%
Other values (136) 836
44.9%
Decimal Number
ValueCountFrequency (%)
1 29
38.2%
2 18
23.7%
3 11
 
14.5%
4 7
 
9.2%
5 6
 
7.9%
7 2
 
2.6%
6 2
 
2.6%
9 1
 
1.3%
Space Separator
ValueCountFrequency (%)
699
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1861
70.1%
Common 793
29.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 195
 
10.5%
업 185
 
9.9%
조 166
 
8.9%
기 99
 
5.3%
외 88
 
4.7%
및 74
 
4.0%
종 73
 
3.9%
용 55
 
3.0%
복 46
 
2.5%
품 44
 
2.4%
Other values (136) 836
44.9%
Common
ValueCountFrequency (%)
699
88.1%
1 29
 
3.7%
, 18
 
2.3%
2 18
 
2.3%
3 11
 
1.4%
4 7
 
0.9%
5 6
 
0.8%
7 2
 
0.3%
6 2
 
0.3%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1861
70.1%
ASCII 793
29.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
699
88.1%
1 29
 
3.7%
, 18
 
2.3%
2 18
 
2.3%
3 11
 
1.4%
4 7
 
0.9%
5 6
 
0.8%
7 2
 
0.3%
6 2
 
0.3%
9 1
 
0.1%
Hangul
ValueCountFrequency (%)
제 195
 
10.5%
업 185
 
9.9%
조 166
 
8.9%
기 99
 
5.3%
외 88
 
4.7%
및 74
 
4.0%
종 73
 
3.9%
용 55
 
3.0%
복 46
 
2.5%
품 44
 
2.4%
Other values (136) 836
44.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2022-02-28 00:00:00
Maximum2022-02-28 00:00:00
2023-12-13T08:15:45.218482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:45.337929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T08:15:42.107406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:15:45.407673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종명(생산품)
순번1.0000.491
업종명(생산품)0.4911.000

Missing values

2023-12-13T08:15:42.226037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:15:42.323107image/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

순번회사명도로명주소업종명(생산품)데이터기준일자
01(유)종로과학상사서울특별시 종로구 지봉로14길 8-6 (숭인동)전자기 측정, 시험 및 분석기구 제조업 외 2 종2022-02-28
12(주)계문사서울특별시 종로구 자하문로1길 41 (필운동)기타 인쇄업 외 2 종2022-02-28
23(주)골드팡서울특별시 종로구 돈화문로5가길 1 (돈의동) 피카디리플러스 7층 제7-2호귀금속 및 관련제품 제조업2022-02-28
34(주)광원어패럴서울특별시 종로구 창경궁로 230 (명륜4가)그 외 기타 의복액세서리 제조업2022-02-28
45(주)그레이포인트서울특별시 종로구 명륜길 4, 2층 (명륜1가)전시용 모형 제조업2022-02-28
56(주)금부치아서울특별시 종로구 창경궁로16가길 14, 감자빌딩 4층 (연지동)귀금속 및 관련제품 제조업2022-02-28
67(주)나눔과 행복서울특별시 종로구 율곡로29길 16, 4층 (종로6가)근무복, 작업복 및 유사의복 제조업 외 26 종2022-02-28
78(주)나이벡서울특별시 종로구 대학로 101, 404호 (연건동)의료용품 및 기타 의약 관련제품 제조업2022-02-28
89(주)넥슨정보통신서울특별시 종로구 청계천로 147, 3,4,5층 (장사동)유선 통신장비 제조업2022-02-28
910(주)뉴비젼이엔지서울특별시 종로구 창경궁로21길 17-6, 110호 (원남동)방송장비 제조업 외 3 종2022-02-28
순번회사명도로명주소업종명(생산품)데이터기준일자
160161한국소방공사서울특별시 종로구 청계천로 113-1, 1동 2층 (관수동)전시용 모형 제조업2022-02-28
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