Overview

Dataset statistics

Number of variables5
Number of observations468
Missing cells46
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.9 KiB
Average record size in memory41.3 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 부평구 전문건설업 등록현황 데이터는 전문건설업체명, 업종, 업체소재지(도로명), 전화번호에 대한 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102660&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 46 (9.8%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:58:22.015787
Analysis finished2024-03-18 04:58:22.834416
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct468
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.5
Minimum1
Maximum468
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-03-18T13:58:22.900485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.35
Q1117.75
median234.5
Q3351.25
95-th percentile444.65
Maximum468
Range467
Interquartile range (IQR)233.5

Descriptive statistics

Standard deviation135.24422
Coefficient of variation (CV)0.57673443
Kurtosis-1.2
Mean234.5
Median Absolute Deviation (MAD)117
Skewness0
Sum109746
Variance18291
MonotonicityStrictly increasing
2024-03-18T13:58:23.043359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
310 1
 
0.2%
322 1
 
0.2%
321 1
 
0.2%
320 1
 
0.2%
319 1
 
0.2%
318 1
 
0.2%
317 1
 
0.2%
316 1
 
0.2%
315 1
 
0.2%
Other values (458) 458
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
468 1
0.2%
467 1
0.2%
466 1
0.2%
465 1
0.2%
464 1
0.2%
463 1
0.2%
462 1
0.2%
461 1
0.2%
460 1
0.2%
459 1
0.2%

업체명
Text

Distinct373
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-03-18T13:58:23.272226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.2200855
Min length2

Characters and Unicode

Total characters3379
Distinct characters255
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

Unique307 ?
Unique (%)65.6%

Sample

1st row(유)애드게이트
2nd row(주)가온이앤아이
3rd row(주)강현이엔씨
4th row(주)결실건축디자인
5th row(주)경원
ValueCountFrequency (%)
주)진영공영 5
 
1.1%
주)엔에스플랜 4
 
0.9%
선강건설(주 4
 
0.9%
수호토건(주 4
 
0.9%
일흥건설(주 4
 
0.9%
주)해송씨엔에스 4
 
0.9%
주)대맥이엔씨 3
 
0.6%
주식회사유현건설 3
 
0.6%
주)엘에스폼웍 3
 
0.6%
주)일월에스엔씨 3
 
0.6%
Other values (363) 431
92.1%
2024-03-18T13:58:23.699411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 309
 
9.1%
( 283
 
8.4%
) 283
 
8.4%
설 173
 
5.1%
건 149
 
4.4%
이 89
 
2.6%
비 73
 
2.2%
스 66
 
2.0%
엔 59
 
1.7%
에 54
 
1.6%
Other values (245) 1841
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2771
82.0%
Open Punctuation 283
 
8.4%
Close Punctuation 283
 
8.4%
Other Symbol 23
 
0.7%
Uppercase Letter 11
 
0.3%
Decimal Number 6
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 309
 
11.2%
설 173
 
6.2%
건 149
 
5.4%
이 89
 
3.2%
비 73
 
2.6%
스 66
 
2.4%
엔 59
 
2.1%
에 54
 
1.9%
지 44
 
1.6%
씨 41
 
1.5%
Other values (231) 1714
61.9%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
9 1
16.7%
5 1
16.7%
6 1
16.7%
3 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
G 4
36.4%
N 3
27.3%
E 3
27.3%
L 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
y 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 283
100.0%
Close Punctuation
ValueCountFrequency (%)
) 283
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2794
82.7%
Common 572
 
16.9%
Latin 13
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 309
 
11.1%
설 173
 
6.2%
건 149
 
5.3%
이 89
 
3.2%
비 73
 
2.6%
스 66
 
2.4%
엔 59
 
2.1%
에 54
 
1.9%
지 44
 
1.6%
씨 41
 
1.5%
Other values (232) 1737
62.2%
Common
ValueCountFrequency (%)
( 283
49.5%
) 283
49.5%
1 2
 
0.3%
9 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
3 1
 
0.2%
Latin
ValueCountFrequency (%)
G 4
30.8%
N 3
23.1%
E 3
23.1%
o 1
 
7.7%
y 1
 
7.7%
L 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2771
82.0%
ASCII 585
 
17.3%
None 23
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 309
 
11.2%
설 173
 
6.2%
건 149
 
5.4%
이 89
 
3.2%
비 73
 
2.6%
스 66
 
2.4%
엔 59
 
2.1%
에 54
 
1.9%
지 44
 
1.6%
씨 41
 
1.5%
Other values (231) 1714
61.9%
ASCII
ValueCountFrequency (%)
( 283
48.4%
) 283
48.4%
G 4
 
0.7%
N 3
 
0.5%
E 3
 
0.5%
1 2
 
0.3%
o 1
 
0.2%
y 1
 
0.2%
L 1
 
0.2%
9 1
 
0.2%
Other values (3) 3
 
0.5%
None
ValueCountFrequency (%)
㈜ 23
100.0%

업종
Categorical

Distinct12
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
가스난방공사업
122 
실내건축공사업
60 
기계가스설비공사업
54 
도장ㆍ습식ㆍ방수ㆍ석공사업
42 
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업
40 
Other values (7)
150 

Length

Max length17
Median length13
Mean length9.5470085
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row실내건축공사업
2nd row기계가스설비공사업
3rd row기계가스설비공사업
4th row실내건축공사업
5th row가스난방공사업

Common Values

ValueCountFrequency (%)
가스난방공사업 122
26.1%
실내건축공사업 60
12.8%
기계가스설비공사업 54
11.5%
도장ㆍ습식ㆍ방수ㆍ석공사업 42
 
9.0%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 40
 
8.5%
철근ㆍ콘크리트공사업 32
 
6.8%
상ㆍ하수도설비공사업 31
 
6.6%
지반조성ㆍ포장공사업 30
 
6.4%
시설물유지관리업 19
 
4.1%
조경식재ㆍ시설물공사업 18
 
3.8%
Other values (2) 20
 
4.3%

Length

2024-03-18T13:58:23.806690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가스난방공사업 122
26.1%
실내건축공사업 60
12.8%
기계가스설비공사업 54
11.5%
도장ㆍ습식ㆍ방수ㆍ석공사업 42
 
9.0%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 40
 
8.5%
철근ㆍ콘크리트공사업 32
 
6.8%
상ㆍ하수도설비공사업 31
 
6.6%
지반조성ㆍ포장공사업 30
 
6.4%
시설물유지관리업 19
 
4.1%
조경식재ㆍ시설물공사업 18
 
3.8%
Other values (2) 20
 
4.3%

도로명주소
Text

Distinct372
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-03-18T13:58:24.051073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length30.594017
Min length21

Characters and Unicode

Total characters14318
Distinct characters193
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique307 ?
Unique (%)65.6%

Sample

1st row인천광역시 부평구 충선로 102 3층 (부개동)
2nd row인천광역시 부평구 길주로 659 5층 507호 (삼산동)
3rd row인천광역시 부평구 길주로 623 101동 1505-2호 (삼산동)
4th row인천광역시 부평구 평천로 290 603호 (갈산동)
5th row인천광역시 부평구 장제로373번길 37-8 (갈산동)
ValueCountFrequency (%)
부평구 468
 
16.2%
인천광역시 463
 
16.1%
부평동 92
 
3.2%
청천동 68
 
2.4%
십정동 66
 
2.3%
1층 65
 
2.3%
삼산동 58
 
2.0%
부개동 53
 
1.8%
갈산동 46
 
1.6%
2층 45
 
1.6%
Other values (575) 1456
50.6%
2024-03-18T13:58:24.451940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2412
 
16.8%
부 751
 
5.2%
평 659
 
4.6%
천 569
 
4.0%
동 547
 
3.8%
1 539
 
3.8%
인 516
 
3.6%
( 476
 
3.3%
) 475
 
3.3%
시 473
 
3.3%
Other values (183) 6901
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8107
56.6%
Decimal Number 2618
 
18.3%
Space Separator 2412
 
16.8%
Open Punctuation 476
 
3.3%
Close Punctuation 475
 
3.3%
Other Punctuation 102
 
0.7%
Dash Punctuation 87
 
0.6%
Uppercase Letter 41
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 751
 
9.3%
평 659
 
8.1%
천 569
 
7.0%
동 547
 
6.7%
인 516
 
6.4%
시 473
 
5.8%
로 473
 
5.8%
구 471
 
5.8%
광 466
 
5.7%
역 463
 
5.7%
Other values (154) 2719
33.5%
Uppercase Letter
ValueCountFrequency (%)
B 12
29.3%
C 4
 
9.8%
A 3
 
7.3%
E 3
 
7.3%
N 3
 
7.3%
O 3
 
7.3%
Z 3
 
7.3%
I 3
 
7.3%
H 3
 
7.3%
D 2
 
4.9%
Other values (2) 2
 
4.9%
Decimal Number
ValueCountFrequency (%)
1 539
20.6%
2 408
15.6%
0 341
13.0%
3 320
12.2%
4 260
9.9%
5 171
 
6.5%
6 168
 
6.4%
9 140
 
5.3%
8 136
 
5.2%
7 135
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 67
65.7%
， 33
32.4%
/ 2
 
2.0%
Space Separator
ValueCountFrequency (%)
2412
100.0%
Open Punctuation
ValueCountFrequency (%)
( 476
100.0%
Close Punctuation
ValueCountFrequency (%)
) 475
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8107
56.6%
Common 6170
43.1%
Latin 41
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 751
 
9.3%
평 659
 
8.1%
천 569
 
7.0%
동 547
 
6.7%
인 516
 
6.4%
시 473
 
5.8%
로 473
 
5.8%
구 471
 
5.8%
광 466
 
5.7%
역 463
 
5.7%
Other values (154) 2719
33.5%
Common
ValueCountFrequency (%)
2412
39.1%
1 539
 
8.7%
( 476
 
7.7%
) 475
 
7.7%
2 408
 
6.6%
0 341
 
5.5%
3 320
 
5.2%
4 260
 
4.2%
5 171
 
2.8%
6 168
 
2.7%
Other values (7) 600
 
9.7%
Latin
ValueCountFrequency (%)
B 12
29.3%
C 4
 
9.8%
A 3
 
7.3%
E 3
 
7.3%
N 3
 
7.3%
O 3
 
7.3%
Z 3
 
7.3%
I 3
 
7.3%
H 3
 
7.3%
D 2
 
4.9%
Other values (2) 2
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8107
56.6%
ASCII 6178
43.1%
None 33
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2412
39.0%
1 539
 
8.7%
( 476
 
7.7%
) 475
 
7.7%
2 408
 
6.6%
0 341
 
5.5%
3 320
 
5.2%
4 260
 
4.2%
5 171
 
2.8%
6 168
 
2.7%
Other values (18) 608
 
9.8%
Hangul
ValueCountFrequency (%)
부 751
 
9.3%
평 659
 
8.1%
천 569
 
7.0%
동 547
 
6.7%
인 516
 
6.4%
시 473
 
5.8%
로 473
 
5.8%
구 471
 
5.8%
광 466
 
5.7%
역 463
 
5.7%
Other values (154) 2719
33.5%
None
ValueCountFrequency (%)
， 33
100.0%

전화번호
Text

MISSING 

Distinct326
Distinct (%)77.3%
Missing46
Missing (%)9.8%
Memory size3.8 KiB
2024-03-18T13:58:24.667385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030806
Min length11

Characters and Unicode

Total characters5077
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique263 ?
Unique (%)62.3%

Sample

1st row032-522-3960
2nd row032-517-1191
3rd row032-323-1616
4th row02-565-2070
5th row032-543-9004
ValueCountFrequency (%)
032-466-9995 6
 
1.4%
032-516-6863 5
 
1.2%
032-433-8133 5
 
1.2%
032-522-9994 4
 
0.9%
032-508-1017 4
 
0.9%
032-541-1013 4
 
0.9%
032-529-8100 4
 
0.9%
032-505-9788 4
 
0.9%
032-330-1640 3
 
0.7%
032-523-3337 3
 
0.7%
Other values (316) 380
90.0%
2024-03-18T13:58:25.008526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 846
16.7%
- 844
16.6%
2 720
14.2%
3 710
14.0%
5 448
8.8%
1 365
7.2%
4 278
 
5.5%
6 242
 
4.8%
7 240
 
4.7%
9 194
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4233
83.4%
Dash Punctuation 844
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 846
20.0%
2 720
17.0%
3 710
16.8%
5 448
10.6%
1 365
8.6%
4 278
 
6.6%
6 242
 
5.7%
7 240
 
5.7%
9 194
 
4.6%
8 190
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 844
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5077
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 846
16.7%
- 844
16.6%
2 720
14.2%
3 710
14.0%
5 448
8.8%
1 365
7.2%
4 278
 
5.5%
6 242
 
4.8%
7 240
 
4.7%
9 194
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5077
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 846
16.7%
- 844
16.6%
2 720
14.2%
3 710
14.0%
5 448
8.8%
1 365
7.2%
4 278
 
5.5%
6 242
 
4.8%
7 240
 
4.7%
9 194
 
3.8%

Interactions

2024-03-18T13:58:22.625366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:58:25.091737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종
순번1.0000.353
업종0.3531.000
2024-03-18T13:58:25.162263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종
순번1.0000.155
업종0.1551.000

Missing values

2024-03-18T13:58:22.724057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:58:22.803436image/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

순번업체명업종도로명주소전화번호
01(유)애드게이트실내건축공사업인천광역시 부평구 충선로 102 3층 (부개동)032-522-3960
12(주)가온이앤아이기계가스설비공사업인천광역시 부평구 길주로 659 5층 507호 (삼산동)032-517-1191
23(주)강현이엔씨기계가스설비공사업인천광역시 부평구 길주로 623 101동 1505-2호 (삼산동)032-323-1616
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