Overview

Dataset statistics

Number of variables5
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory42.9 B

Variable types

Numeric1
Categorical1
Text2
DateTime1

Dataset

Description인천광역시 서구 관내에 위치한 계량기업 현황(업종, 상호명, 소재지)등을 포함한 데이터가 입력되어 있는 파일입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15039950&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 15:26:06.248700
Analysis finished2024-01-28 15:26:06.683717
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-01-29T00:26:06.740144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q118.5
median36
Q353.5
95-th percentile67.5
Maximum71
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.639767
Coefficient of variation (CV)0.57332687
Kurtosis-1.2
Mean36
Median Absolute Deviation (MAD)18
Skewness0
Sum2556
Variance426
MonotonicityStrictly increasing
2024-01-29T00:26:06.845316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
2 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%

업종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size700.0 B
계량증명업
48 
계량기제조업
15 
계량기수리업
8 

Length

Max length6
Median length5
Mean length5.3239437
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row계량기제조업
2nd row계량기제조업
3rd row계량기제조업
4th row계량기제조업
5th row계량기제조업

Common Values

ValueCountFrequency (%)
계량증명업 48
67.6%
계량기제조업 15
 
21.1%
계량기수리업 8
 
11.3%

Length

2024-01-29T00:26:06.953344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:26:07.035644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계량증명업 48
67.6%
계량기제조업 15
 
21.1%
계량기수리업 8
 
11.3%

상호명
Text

Distinct67
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-01-29T00:26:07.242285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.0140845
Min length2

Characters and Unicode

Total characters569
Distinct characters126
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)88.7%

Sample

1st row(주)삼원미터텍
2nd row삼영전기
3rd row신진계전㈜
4th row㈜티에이치정밀
5th row주식회사 동양계기
ValueCountFrequency (%)
주식회사 6
 
6.9%
계량증명업소 5
 
5.7%
스케일테크주식회사 2
 
2.3%
동양계기 2
 
2.3%
㈜디아이피 2
 
2.3%
㈜티에이치정밀 2
 
2.3%
계량시스템 2
 
2.3%
㈜제이에코사이클 1
 
1.1%
장안가설 1
 
1.1%
씨제이대한통운㈜ 1
 
1.1%
Other values (63) 63
72.4%
2024-01-29T00:26:07.591314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
계 35
 
6.2%
업 31
 
5.4%
량 30
 
5.3%
소 29
 
5.1%
㈜ 27
 
4.7%
명 24
 
4.2%
증 24
 
4.2%
주 16
 
2.8%
16
 
2.8%
인 12
 
2.1%
Other values (116) 325
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 513
90.2%
Other Symbol 27
 
4.7%
Space Separator 16
 
2.8%
Close Punctuation 5
 
0.9%
Open Punctuation 5
 
0.9%
Uppercase Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 35
 
6.8%
업 31
 
6.0%
량 30
 
5.8%
소 29
 
5.7%
명 24
 
4.7%
증 24
 
4.7%
주 16
 
3.1%
인 12
 
2.3%
사 12
 
2.3%
이 10
 
1.9%
Other values (109) 290
56.5%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 27
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 540
94.9%
Common 27
 
4.7%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 35
 
6.5%
업 31
 
5.7%
량 30
 
5.6%
소 29
 
5.4%
㈜ 27
 
5.0%
명 24
 
4.4%
증 24
 
4.4%
주 16
 
3.0%
인 12
 
2.2%
사 12
 
2.2%
Other values (110) 300
55.6%
Common
ValueCountFrequency (%)
16
59.3%
) 5
 
18.5%
( 5
 
18.5%
. 1
 
3.7%
Latin
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 513
90.2%
ASCII 29
 
5.1%
None 27
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
계 35
 
6.8%
업 31
 
6.0%
량 30
 
5.8%
소 29
 
5.7%
명 24
 
4.7%
증 24
 
4.7%
주 16
 
3.1%
인 12
 
2.3%
사 12
 
2.3%
이 10
 
1.9%
Other values (109) 290
56.5%
None
ValueCountFrequency (%)
㈜ 27
100.0%
ASCII
ValueCountFrequency (%)
16
55.2%
) 5
 
17.2%
( 5
 
17.2%
I 1
 
3.4%
. 1
 
3.4%
C 1
 
3.4%

소재지
Text

Distinct65
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-01-29T00:26:07.819336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length24.43662
Min length20

Characters and Unicode

Total characters1735
Distinct characters108
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

Unique59 ?
Unique (%)83.1%

Sample

1st row인천광역시 서구 사렴로65번길 29 (경서동)
2nd row인천광역시 서구 중봉대로376번길 10 (원창동)
3rd row인천광역시 서구 원창로64번길 43 (원창동)
4th row인천광역시 서구 가정로57번길 16 (가좌동)
5th row인천광역시 서구 석남로 24 (석남동)
ValueCountFrequency (%)
인천광역시 71
19.9%
서구 71
19.9%
가좌동 15
 
4.2%
오류동 13
 
3.7%
경서동 10
 
2.8%
원창동 9
 
2.5%
석남동 6
 
1.7%
백석동 4
 
1.1%
원당대로 3
 
0.8%
북항로 3
 
0.8%
Other values (121) 151
42.4%
2024-01-29T00:26:08.153797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
285
 
16.4%
서 82
 
4.7%
인 72
 
4.1%
천 72
 
4.1%
광 71
 
4.1%
역 71
 
4.1%
시 71
 
4.1%
구 71
 
4.1%
동 71
 
4.1%
로 68
 
3.9%
Other values (98) 801
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1049
60.5%
Space Separator 285
 
16.4%
Decimal Number 254
 
14.6%
Close Punctuation 66
 
3.8%
Open Punctuation 66
 
3.8%
Dash Punctuation 9
 
0.5%
Other Punctuation 4
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 82
 
7.8%
인 72
 
6.9%
천 72
 
6.9%
광 71
 
6.8%
역 71
 
6.8%
시 71
 
6.8%
구 71
 
6.8%
동 71
 
6.8%
로 68
 
6.5%
번 29
 
2.8%
Other values (81) 371
35.4%
Decimal Number
ValueCountFrequency (%)
1 48
18.9%
2 43
16.9%
3 23
9.1%
5 23
9.1%
6 22
8.7%
4 22
8.7%
7 20
7.9%
9 19
 
7.5%
8 18
 
7.1%
0 16
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1049
60.5%
Common 684
39.4%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 82
 
7.8%
인 72
 
6.9%
천 72
 
6.9%
광 71
 
6.8%
역 71
 
6.8%
시 71
 
6.8%
구 71
 
6.8%
동 71
 
6.8%
로 68
 
6.5%
번 29
 
2.8%
Other values (81) 371
35.4%
Common
ValueCountFrequency (%)
285
41.7%
) 66
 
9.6%
( 66
 
9.6%
1 48
 
7.0%
2 43
 
6.3%
3 23
 
3.4%
5 23
 
3.4%
6 22
 
3.2%
4 22
 
3.2%
7 20
 
2.9%
Other values (5) 66
 
9.6%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1049
60.5%
ASCII 686
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
285
41.5%
) 66
 
9.6%
( 66
 
9.6%
1 48
 
7.0%
2 43
 
6.3%
3 23
 
3.4%
5 23
 
3.4%
6 22
 
3.2%
4 22
 
3.2%
7 20
 
2.9%
Other values (7) 68
 
9.9%
Hangul
ValueCountFrequency (%)
서 82
 
7.8%
인 72
 
6.9%
천 72
 
6.9%
광 71
 
6.8%
역 71
 
6.8%
시 71
 
6.8%
구 71
 
6.8%
동 71
 
6.8%
로 68
 
6.5%
번 29
 
2.8%
Other values (81) 371
35.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2024-01-29T00:26:08.239175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:26:08.307666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-29T00:26:06.481882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T00:26:08.369083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종상호명소재지
연번1.0000.9190.6970.490
업종0.9191.0000.0000.000
상호명0.6970.0001.0001.000
소재지0.4900.0001.0001.000
2024-01-29T00:26:08.444790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.913
업종0.9131.000

Missing values

2024-01-29T00:26:06.587367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:26:06.655985image/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

연번업종상호명소재지데이터기준일자
01계량기제조업(주)삼원미터텍인천광역시 서구 사렴로65번길 29 (경서동)2023-08-01
12계량기제조업삼영전기인천광역시 서구 중봉대로376번길 10 (원창동)2023-08-01
23계량기제조업신진계전㈜인천광역시 서구 원창로64번길 43 (원창동)2023-08-01
34계량기제조업㈜티에이치정밀인천광역시 서구 가정로57번길 16 (가좌동)2023-08-01
45계량기제조업주식회사 동양계기인천광역시 서구 석남로 24 (석남동)2023-08-01
56계량기제조업㈜디아이피인천광역시 서구 로봇랜드로249번길 62-28 (경서동)2023-08-01
67계량기제조업(주)수 계량시스템인천광역시 서구 보도진로 38 (가좌동)2023-08-01
78계량기제조업영동금속㈜인천광역시 서구 사렴로10번길 22 (경서동)2023-08-01
89계량기제조업(주)애플망고인천광역시 서구 보듬로 158 (오류동)2023-08-01
910계량기제조업(주)토즈테크인천광역시 서구 장고개로117번길 50 (가좌동)2023-08-01
연번업종상호명소재지데이터기준일자
6162계량증명업에스엠상선경인터미널㈜인천광역시 서구 거첨로 295 (오류동, 한진해운경인터미널)2023-08-01
6263계량증명업주식회사 평안철강인천광역시 서구 북항로 156 (원창동)2023-08-01
6364계량증명업인천서부지방산업단지관리공단인천광역시 서구 호두산로 92 (경서동)2023-08-01
6465계량증명업㈜일도에너지인천광역시 서구 경명대로 284 (경서동)2023-08-01
6566계량증명업대광철재인천광역시 서구 중봉대로 1597 (금곡동)2023-08-01
6667계량증명업경인케미컬인천광역시 서구 사월로 2 (백석동)2023-08-01
6768계량증명업성보공업㈜인천광역시 서구 장고개로 138 (가좌동)2023-08-01
6869계량증명업㈜아시아에코인천광역시 서구 두루물로8번길 35 (오류동)2023-08-01
6970계량증명업진성공인계량소인천광역시 서구 원당대로246번길 1-1(오류동)2023-08-01
7071계량증명업㈜코리아에너지인천광역시 서구 두루물로96번길 25(오류동)2023-08-01