Overview

Dataset statistics

Number of variables8
Number of observations447
Missing cells25
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.9 KiB
Average record size in memory66.3 B

Variable types

Text5
Numeric2
Categorical1

Dataset

Description충청북도 충주시 전문건설업 현황(업체명, 업종, 주력사업, 전화번호, 도로명주소,위도, 경도, 데이터 기준일)입니다
Author충청북도 충주시
URLhttps://www.data.go.kr/data/15126630/fileData.do

Alerts

데이터 기준일 has constant value ""Constant
전화번호 has 25 (5.6%) missing valuesMissing

Reproduction

Analysis started2024-03-15 00:01:28.592988
Analysis finished2024-03-15 00:01:30.563157
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct446
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-15T09:01:31.279447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length7.3355705
Min length4

Characters and Unicode

Total characters3279
Distinct characters260
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

Unique445 ?
Unique (%)99.6%

Sample

1st row(유)대원개발
2nd row(유)상원개발
3rd row(자)예창건설
4th row(주)가나안수도
5th row(주)강남실내건축
ValueCountFrequency (%)
대성eng 2
 
0.4%
에이치에스디아이 1
 
0.2%
영진건축설비 1
 
0.2%
영지건설(주 1
 
0.2%
영주건축설비 1
 
0.2%
영은건설(주 1
 
0.2%
영신건설(주 1
 
0.2%
영성건설(주 1
 
0.2%
열냉서비스센타 1
 
0.2%
연재이엔지주식회사 1
 
0.2%
Other values (436) 436
97.5%
2024-03-15T09:01:32.398545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 370
 
11.3%
( 284
 
8.7%
) 284
 
8.7%
설 175
 
5.3%
건 174
 
5.3%
사 94
 
2.9%
식 71
 
2.2%
회 70
 
2.1%
이 65
 
2.0%
지 57
 
1.7%
Other values (250) 1635
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2680
81.7%
Open Punctuation 284
 
8.7%
Close Punctuation 284
 
8.7%
Uppercase Letter 20
 
0.6%
Other Punctuation 8
 
0.2%
Decimal Number 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 370
 
13.8%
설 175
 
6.5%
건 174
 
6.5%
사 94
 
3.5%
식 71
 
2.6%
회 70
 
2.6%
이 65
 
2.4%
지 57
 
2.1%
대 48
 
1.8%
성 47
 
1.8%
Other values (234) 1509
56.3%
Uppercase Letter
ValueCountFrequency (%)
E 5
25.0%
N 4
20.0%
G 3
15.0%
C 3
15.0%
H 2
 
10.0%
S 2
 
10.0%
I 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
& 3
37.5%
. 3
37.5%
, 1
 
12.5%
， 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 284
100.0%
Close Punctuation
ValueCountFrequency (%)
) 284
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2681
81.8%
Common 578
 
17.6%
Latin 20
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 370
 
13.8%
설 175
 
6.5%
건 174
 
6.5%
사 94
 
3.5%
식 71
 
2.6%
회 70
 
2.6%
이 65
 
2.4%
지 57
 
2.1%
대 48
 
1.8%
성 47
 
1.8%
Other values (235) 1510
56.3%
Common
ValueCountFrequency (%)
( 284
49.1%
) 284
49.1%
& 3
 
0.5%
. 3
 
0.5%
, 1
 
0.2%
1 1
 
0.2%
2 1
 
0.2%
， 1
 
0.2%
Latin
ValueCountFrequency (%)
E 5
25.0%
N 4
20.0%
G 3
15.0%
C 3
15.0%
H 2
 
10.0%
S 2
 
10.0%
I 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2680
81.7%
ASCII 597
 
18.2%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 370
 
13.8%
설 175
 
6.5%
건 174
 
6.5%
사 94
 
3.5%
식 71
 
2.6%
회 70
 
2.6%
이 65
 
2.4%
지 57
 
2.1%
대 48
 
1.8%
성 47
 
1.8%
Other values (234) 1509
56.3%
ASCII
ValueCountFrequency (%)
( 284
47.6%
) 284
47.6%
E 5
 
0.8%
N 4
 
0.7%
G 3
 
0.5%
C 3
 
0.5%
& 3
 
0.5%
. 3
 
0.5%
H 2
 
0.3%
S 2
 
0.3%
Other values (4) 4
 
0.7%
None
ValueCountFrequency (%)
㈜ 1
50.0%
， 1
50.0%

업종
Text

Distinct207
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-15T09:01:33.379765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length314
Median length142
Mean length49.467562
Min length7

Characters and Unicode

Total characters22112
Distinct characters90
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

Unique163 ?
Unique (%)36.5%

Sample

1st row도장ㆍ습식ㆍ방수ㆍ석공사업 +조경식재ㆍ시설물공사업 +조경시설물설치공사업(등록말소) +조경식재공사업(대업종전환) +조경시설물설치공사업(대업종전환) +석공사업(대업종전환)
2nd row지반조성ㆍ포장공사업 +도장ㆍ습식ㆍ방수ㆍ석공사업 +철근ㆍ콘크리트공사업 +철근ㆍ콘크리트공사업(대업종전환) +포장공사업(대업종전환)
3rd row상ㆍ하수도설비공사업 +철근ㆍ콘크리트공사업 +난방시공업 제1종(자진반납) +철근ㆍ콘크리트공사업(대업종전환) +상ㆍ하수도설비공사업(대업종전환)
4th row상ㆍ하수도설비공사업 +상ㆍ하수도설비공사업(대업종전환)
5th row실내건축공사업 +실내건축공사업(대업종전환)
ValueCountFrequency (%)
철근ㆍ콘크리트공사업 140
 
8.5%
철근ㆍ콘크리트공사업(대업종전환 133
 
8.1%
지반조성ㆍ포장공사업 94
 
5.7%
가스ㆍ난방공사업 92
 
5.6%
제2종(대업종전환 83
 
5.1%
가스시설시공업 83
 
5.1%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 73
 
4.5%
상ㆍ하수도설비공사업 71
 
4.3%
상ㆍ하수도설비공사업(대업종전환 69
 
4.2%
도장ㆍ습식ㆍ방수ㆍ석공사업 65
 
4.0%
Other values (63) 736
44.9%
2024-03-15T09:01:34.806280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 2258
 
10.2%
공 1478
 
6.7%
ㆍ 1364
 
6.2%
사 1340
 
6.1%
1192
 
5.4%
+ 1054
 
4.8%
) 824
 
3.7%
( 824
 
3.7%
종 802
 
3.6%
대 664
 
3.0%
Other values (80) 10312
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18080
81.8%
Space Separator 1192
 
5.4%
Math Symbol 1054
 
4.8%
Close Punctuation 824
 
3.7%
Open Punctuation 824
 
3.7%
Decimal Number 138
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 2258
 
12.5%
공 1478
 
8.2%
ㆍ 1364
 
7.5%
사 1340
 
7.4%
종 802
 
4.4%
대 664
 
3.7%
환 664
 
3.7%
전 664
 
3.7%
설 421
 
2.3%
조 416
 
2.3%
Other values (73) 8009
44.3%
Decimal Number
ValueCountFrequency (%)
2 91
65.9%
3 30
 
21.7%
1 17
 
12.3%
Space Separator
ValueCountFrequency (%)
1192
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1054
100.0%
Close Punctuation
ValueCountFrequency (%)
) 824
100.0%
Open Punctuation
ValueCountFrequency (%)
( 824
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18080
81.8%
Common 4032
 
18.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 2258
 
12.5%
공 1478
 
8.2%
ㆍ 1364
 
7.5%
사 1340
 
7.4%
종 802
 
4.4%
대 664
 
3.7%
환 664
 
3.7%
전 664
 
3.7%
설 421
 
2.3%
조 416
 
2.3%
Other values (73) 8009
44.3%
Common
ValueCountFrequency (%)
1192
29.6%
+ 1054
26.1%
) 824
20.4%
( 824
20.4%
2 91
 
2.3%
3 30
 
0.7%
1 17
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16716
75.6%
ASCII 4032
 
18.2%
Compat Jamo 1364
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 2258
 
13.5%
공 1478
 
8.8%
사 1340
 
8.0%
종 802
 
4.8%
대 664
 
4.0%
환 664
 
4.0%
전 664
 
4.0%
설 421
 
2.5%
조 416
 
2.5%
물 321
 
1.9%
Other values (72) 7688
46.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1364
100.0%
ASCII
ValueCountFrequency (%)
1192
29.6%
+ 1054
26.1%
) 824
20.4%
( 824
20.4%
2 91
 
2.3%
3 30
 
0.7%
1 17
 
0.4%

주력사업
Text

Distinct445
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-15T09:01:35.600580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length233
Median length122
Mean length37.744966
Min length15

Characters and Unicode

Total characters16872
Distinct characters75
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

Unique443 ?
Unique (%)99.1%

Sample

1st row석공사(2021.03.30)+조경식재공사(1994.12.15)+조경시설물설치공사(2012.02.01)
2nd row포장공사(2017.06.19)+석공사(2023.07.28)+철근ㆍ콘크리트공사(2017.06.19)
3rd row상ㆍ하수도설비공사(1992.08.31)+철근ㆍ콘크리트공사(1999.01.14)
4th row상ㆍ하수도설비공사(1996.12.16)
5th row실내건축공사(2021.06.14)
ValueCountFrequency (%)
난방공사(제2종)(2023.07.14 2
 
0.4%
상ㆍ하수도설비공사(1994.12.15 2
 
0.4%
가스시설공사(제2종)(2002.04.30)+난방공사(제2종)(2009.06.25 1
 
0.2%
철근ㆍ콘크리트공사(2023.12.29)+철강구조물공사(2015.09.23)+금속구조물ㆍ창호ㆍ온실공사(2023.12.29)+지붕판금ㆍ건축물조립공사(2023.12.29 1
 
0.2%
난방공사(제2종)(2005.05.16 1
 
0.2%
철근ㆍ콘크리트공사(2016.02.18)+토공사(2021.03.10)+포장공사(2022.02.14 1
 
0.2%
포장공사(2017.08.08)+도장공사(2022.02.15)+석공사(2022.02.15)+철근ㆍ콘크리트공사(2003.08.21)+조경식재공사(2015.03.09)+조경시설물설치공사(2023.01.05 1
 
0.2%
철근ㆍ콘크리트공사(1999.02.01)+토공사(2020.09.16 1
 
0.2%
난방공사(제2종)(2003.03.27 1
 
0.2%
조경식재공사(2020.08.21)+조경시설물설치공사(2022.11.21)+상ㆍ하수도설비공사(2020.08.21 1
 
0.2%
Other values (435) 435
97.3%
2024-03-15T09:01:36.851505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2005
 
11.9%
2 1827
 
10.8%
. 1670
 
9.9%
1 1076
 
6.4%
( 963
 
5.7%
) 963
 
5.7%
공 835
 
4.9%
사 835
 
4.9%
9 446
 
2.6%
ㆍ 410
 
2.4%
Other values (65) 5842
34.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6808
40.4%
Other Letter 6080
36.0%
Other Punctuation 1670
 
9.9%
Open Punctuation 963
 
5.7%
Close Punctuation 963
 
5.7%
Math Symbol 388
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 835
 
13.7%
사 835
 
13.7%
ㆍ 410
 
6.7%
설 262
 
4.3%
조 207
 
3.4%
물 153
 
2.5%
철 147
 
2.4%
트 140
 
2.3%
리 140
 
2.3%
콘 140
 
2.3%
Other values (51) 2811
46.2%
Decimal Number
ValueCountFrequency (%)
0 2005
29.5%
2 1827
26.8%
1 1076
15.8%
9 446
 
6.6%
3 389
 
5.7%
7 253
 
3.7%
5 218
 
3.2%
4 216
 
3.2%
8 201
 
3.0%
6 177
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 1670
100.0%
Open Punctuation
ValueCountFrequency (%)
( 963
100.0%
Close Punctuation
ValueCountFrequency (%)
) 963
100.0%
Math Symbol
ValueCountFrequency (%)
+ 388
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10792
64.0%
Hangul 6080
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 835
 
13.7%
사 835
 
13.7%
ㆍ 410
 
6.7%
설 262
 
4.3%
조 207
 
3.4%
물 153
 
2.5%
철 147
 
2.4%
트 140
 
2.3%
리 140
 
2.3%
콘 140
 
2.3%
Other values (51) 2811
46.2%
Common
ValueCountFrequency (%)
0 2005
18.6%
2 1827
16.9%
. 1670
15.5%
1 1076
10.0%
( 963
8.9%
) 963
8.9%
9 446
 
4.1%
3 389
 
3.6%
+ 388
 
3.6%
7 253
 
2.3%
Other values (4) 812
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10792
64.0%
Hangul 5670
33.6%
Compat Jamo 410
 
2.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2005
18.6%
2 1827
16.9%
. 1670
15.5%
1 1076
10.0%
( 963
8.9%
) 963
8.9%
9 446
 
4.1%
3 389
 
3.6%
+ 388
 
3.6%
7 253
 
2.3%
Other values (4) 812
7.5%
Hangul
ValueCountFrequency (%)
공 835
 
14.7%
사 835
 
14.7%
설 262
 
4.6%
조 207
 
3.7%
물 153
 
2.7%
철 147
 
2.6%
트 140
 
2.5%
리 140
 
2.5%
콘 140
 
2.5%
크 140
 
2.5%
Other values (50) 2671
47.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 410
100.0%

전화번호
Text

MISSING 

Distinct396
Distinct (%)93.8%
Missing25
Missing (%)5.6%
Memory size3.6 KiB
2024-03-15T09:01:37.587056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.026066
Min length12

Characters and Unicode

Total characters5075
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

Unique372 ?
Unique (%)88.2%

Sample

1st row043-855-7741
2nd row043-852-6297
3rd row043-846-3739
4th row043-845-3691
5th row043-852-8833
ValueCountFrequency (%)
043-852-5654 3
 
0.7%
043-855-7741 3
 
0.7%
043-841-0500 2
 
0.5%
043-855-3639 2
 
0.5%
043-856-6808 2
 
0.5%
043-853-6000 2
 
0.5%
043-855-9870 2
 
0.5%
043-853-0369 2
 
0.5%
043-851-3155 2
 
0.5%
043-854-5885 2
 
0.5%
Other values (386) 400
94.8%
2024-03-15T09:01:38.780316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 844
16.6%
4 754
14.9%
0 707
13.9%
3 611
12.0%
8 588
11.6%
5 486
9.6%
7 241
 
4.7%
1 237
 
4.7%
2 233
 
4.6%
6 227
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4231
83.4%
Dash Punctuation 844
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 754
17.8%
0 707
16.7%
3 611
14.4%
8 588
13.9%
5 486
11.5%
7 241
 
5.7%
1 237
 
5.6%
2 233
 
5.5%
6 227
 
5.4%
9 147
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 844
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5075
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 844
16.6%
4 754
14.9%
0 707
13.9%
3 611
12.0%
8 588
11.6%
5 486
9.6%
7 241
 
4.7%
1 237
 
4.7%
2 233
 
4.6%
6 227
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 844
16.6%
4 754
14.9%
0 707
13.9%
3 611
12.0%
8 588
11.6%
5 486
9.6%
7 241
 
4.7%
1 237
 
4.7%
2 233
 
4.6%
6 227
 
4.5%

도로명 주소
Text

Distinct415
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-15T09:01:39.798584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length24.01566
Min length16

Characters and Unicode

Total characters10735
Distinct characters216
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique387 ?
Unique (%)86.6%

Sample

1st row충청북도 충주시 충원대로 749 (금릉동)
2nd row충청북도 충주시 행정10길 21 (목행동)
3rd row충청북도 충주시 칠지3길 12 (칠금동)
4th row충청북도 충주시 직동길 120-10 1층 (직동)
5th row충청북도 충주시 칠지7길 23(칠금동)
ValueCountFrequency (%)
충청북도 447
 
18.5%
충주시 447
 
18.5%
봉방동 46
 
1.9%
연수동 43
 
1.8%
교현동 41
 
1.7%
36
 
1.5%
칠금동 35
 
1.4%
1층 33
 
1.4%
2층 30
 
1.2%
금릉동 23
 
1.0%
Other values (562) 1239
51.2%
2024-03-15T09:01:41.289994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1973
18.4%
충 905
 
8.4%
주 482
 
4.5%
북 450
 
4.2%
도 450
 
4.2%
시 449
 
4.2%
청 449
 
4.2%
1 438
 
4.1%
동 389
 
3.6%
) 338
 
3.1%
Other values (206) 4412
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6344
59.1%
Space Separator 1973
 
18.4%
Decimal Number 1575
 
14.7%
Close Punctuation 338
 
3.1%
Open Punctuation 338
 
3.1%
Dash Punctuation 100
 
0.9%
Other Punctuation 67
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 905
14.3%
주 482
 
7.6%
북 450
 
7.1%
도 450
 
7.1%
시 449
 
7.1%
청 449
 
7.1%
동 389
 
6.1%
길 263
 
4.1%
로 188
 
3.0%
금 133
 
2.1%
Other values (189) 2186
34.5%
Decimal Number
ValueCountFrequency (%)
1 438
27.8%
2 253
16.1%
3 177
11.2%
4 133
 
8.4%
7 123
 
7.8%
5 105
 
6.7%
0 103
 
6.5%
6 92
 
5.8%
9 80
 
5.1%
8 71
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 54
80.6%
， 12
 
17.9%
? 1
 
1.5%
Space Separator
ValueCountFrequency (%)
1973
100.0%
Close Punctuation
ValueCountFrequency (%)
) 338
100.0%
Open Punctuation
ValueCountFrequency (%)
( 338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6344
59.1%
Common 4391
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 905
14.3%
주 482
 
7.6%
북 450
 
7.1%
도 450
 
7.1%
시 449
 
7.1%
청 449
 
7.1%
동 389
 
6.1%
길 263
 
4.1%
로 188
 
3.0%
금 133
 
2.1%
Other values (189) 2186
34.5%
Common
ValueCountFrequency (%)
1973
44.9%
1 438
 
10.0%
) 338
 
7.7%
( 338
 
7.7%
2 253
 
5.8%
3 177
 
4.0%
4 133
 
3.0%
7 123
 
2.8%
5 105
 
2.4%
0 103
 
2.3%
Other values (7) 410
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6344
59.1%
ASCII 4379
40.8%
None 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1973
45.1%
1 438
 
10.0%
) 338
 
7.7%
( 338
 
7.7%
2 253
 
5.8%
3 177
 
4.0%
4 133
 
3.0%
7 123
 
2.8%
5 105
 
2.4%
0 103
 
2.4%
Other values (6) 398
 
9.1%
Hangul
ValueCountFrequency (%)
충 905
14.3%
주 482
 
7.6%
북 450
 
7.1%
도 450
 
7.1%
시 449
 
7.1%
청 449
 
7.1%
동 389
 
6.1%
길 263
 
4.1%
로 188
 
3.0%
금 133
 
2.1%
Other values (189) 2186
34.5%
None
ValueCountFrequency (%)
， 12
100.0%

위도
Real number (ℝ)

Distinct388
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.986474
Minimum36.84609
Maximum37.110358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-03-15T09:01:41.554520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.84609
5-th percentile36.944532
Q136.969673
median36.979201
Q336.993117
95-th percentile37.053933
Maximum37.110358
Range0.2642673
Interquartile range (IQR)0.023443055

Descriptive statistics

Standard deviation0.035077752
Coefficient of variation (CV)0.00094839406
Kurtosis3.6597872
Mean36.986474
Median Absolute Deviation (MAD)0.01147186
Skewness0.9776946
Sum16532.954
Variance0.0012304487
MonotonicityNot monotonic
2024-03-15T09:01:41.961923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.01348117 4
 
0.9%
36.94499298 3
 
0.7%
37.0152497 3
 
0.7%
36.98321454 3
 
0.7%
36.97300788 3
 
0.7%
36.97302241 3
 
0.7%
37.03321095 3
 
0.7%
36.98670466 3
 
0.7%
37.01545652 3
 
0.7%
36.98208884 3
 
0.7%
Other values (378) 416
93.1%
ValueCountFrequency (%)
36.84609032 1
0.2%
36.84726159 1
0.2%
36.87948829 1
0.2%
36.89489829 1
0.2%
36.89541218 1
0.2%
36.91328986 1
0.2%
36.91332587 2
0.4%
36.93133676 1
0.2%
36.93227585 2
0.4%
36.93365148 1
0.2%
ValueCountFrequency (%)
37.11035762 1
0.2%
37.10828626 1
0.2%
37.10806994 1
0.2%
37.10794265 1
0.2%
37.10619733 1
0.2%
37.10555616 1
0.2%
37.10538806 1
0.2%
37.10368616 1
0.2%
37.09585511 1
0.2%
37.09447995 1
0.2%

경도
Real number (ℝ)

Distinct387
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.91029
Minimum127.70343
Maximum128.00709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-03-15T09:01:42.384095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.70343
5-th percentile127.79536
Q1127.91015
median127.92291
Q3127.93449
95-th percentile127.95588
Maximum128.00709
Range0.3036582
Interquartile range (IQR)0.0243376

Descriptive statistics

Standard deviation0.04736764
Coefficient of variation (CV)0.00037031922
Kurtosis4.2792103
Mean127.91029
Median Absolute Deviation (MAD)0.0118482
Skewness-2.0427689
Sum57175.901
Variance0.0022436933
MonotonicityNot monotonic
2024-03-15T09:01:42.841406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.9283773 4
 
0.9%
127.9034367 3
 
0.7%
127.9322864 3
 
0.7%
127.9346507 3
 
0.7%
127.9118929 3
 
0.7%
127.9198111 3
 
0.7%
127.8388405 3
 
0.7%
127.9236838 3
 
0.7%
127.9314996 3
 
0.7%
127.920824 3
 
0.7%
Other values (377) 416
93.1%
ValueCountFrequency (%)
127.7034307 1
0.2%
127.7248443 1
0.2%
127.7311174 1
0.2%
127.7357442 1
0.2%
127.7367791 1
0.2%
127.7388715 1
0.2%
127.7467227 1
0.2%
127.7537354 1
0.2%
127.7542863 1
0.2%
127.7543081 1
0.2%
ValueCountFrequency (%)
128.0070889 1
0.2%
127.9964364 1
0.2%
127.9955605 1
0.2%
127.9948193 1
0.2%
127.9724219 1
0.2%
127.9708188 1
0.2%
127.9692943 1
0.2%
127.9692501 1
0.2%
127.9676462 1
0.2%
127.965828 1
0.2%

데이터 기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-01-31
447 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-31
2nd row2024-01-31
3rd row2024-01-31
4th row2024-01-31
5th row2024-01-31

Common Values

ValueCountFrequency (%)
2024-01-31 447
100.0%

Length

2024-03-15T09:01:43.297831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:01:43.679914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-31 447
100.0%

Interactions

2024-03-15T09:01:29.614054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:01:29.296565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:01:29.780635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:01:29.451134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:01:43.787886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.815
경도0.8151.000
2024-03-15T09:01:43.926976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.056
경도-0.0561.000

Missing values

2024-03-15T09:01:30.000069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:01:30.396508image/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

업체명업종주력사업전화번호도로명 주소위도경도데이터 기준일
0(유)대원개발도장ㆍ습식ㆍ방수ㆍ석공사업 +조경식재ㆍ시설물공사업 +조경시설물설치공사업(등록말소) +조경식재공사업(대업종전환) +조경시설물설치공사업(대업종전환) +석공사업(대업종전환)석공사(2021.03.30)+조경식재공사(1994.12.15)+조경시설물설치공사(2012.02.01)043-855-7741충청북도 충주시 충원대로 749 (금릉동)36.992972127.9167912024-01-31
1(유)상원개발지반조성ㆍ포장공사업 +도장ㆍ습식ㆍ방수ㆍ석공사업 +철근ㆍ콘크리트공사업 +철근ㆍ콘크리트공사업(대업종전환) +포장공사업(대업종전환)포장공사(2017.06.19)+석공사(2023.07.28)+철근ㆍ콘크리트공사(2017.06.19)043-852-6297충청북도 충주시 행정10길 21 (목행동)37.014025127.918332024-01-31
2(자)예창건설상ㆍ하수도설비공사업 +철근ㆍ콘크리트공사업 +난방시공업 제1종(자진반납) +철근ㆍ콘크리트공사업(대업종전환) +상ㆍ하수도설비공사업(대업종전환)상ㆍ하수도설비공사(1992.08.31)+철근ㆍ콘크리트공사(1999.01.14)043-846-3739충청북도 충주시 칠지3길 12 (칠금동)36.985189127.9079252024-01-31
3(주)가나안수도상ㆍ하수도설비공사업 +상ㆍ하수도설비공사업(대업종전환)상ㆍ하수도설비공사(1996.12.16)043-845-3691충청북도 충주시 직동길 120-10 1층 (직동)36.945535127.9494132024-01-31
4(주)강남실내건축실내건축공사업 +실내건축공사업(대업종전환)실내건축공사(2021.06.14)043-852-8833충청북도 충주시 칠지7길 23(칠금동)36.987191127.9105622024-01-31
5(주)강산개발건설철근ㆍ콘크리트공사업 +지반조성ㆍ포장공사업 +구조물해체ㆍ비계공사업 +석공사업(폐업) +상ㆍ하수도설비공사업(폐업) +비계ㆍ구조물해체공사업(대업종전환) +철근ㆍ콘크리트공사업(대업종전환) +토공사업(대업종전환)철근ㆍ콘크리트공사(1994.12.24)+토공사(1994.12.24)+포장공사(2022.06.17)+구조물해체ㆍ비계공사(2004.05.14)043-855-4546충청북도 충주시 금봉대로 337 (교현동)36.964954127.9467162024-01-31
6(주)강연건설철근ㆍ콘크리트공사업 +철근ㆍ콘크리트공사업(대업종전환)철근ㆍ콘크리트공사(2010.03.12)031-958-8016충청북도 충주시 신니면 덕고개로 41237.029792127.7357442024-01-31
7(주)거성에너지가스ㆍ난방공사업 +가스시설시공업 제2종(대업종전환)가스시설공사(제2종)(2015.06.02)043-847-9593충청북도 충주시 서흥1길 22 (목행동)37.013481127.9283772024-01-31
8(주)거암건설지반조성ㆍ포장공사업 +철근ㆍ콘크리트공사업 +상ㆍ하수도설비공사업 +철근ㆍ콘크리트공사업(대업종전환) +상ㆍ하수도설비공사업(대업종전환) +토공사업(대업종전환) +포장공사업(대업종전환)토공사(2002.03.16)+포장공사(2021.10.19)+철근ㆍ콘크리트공사(2002.03.16)+상ㆍ하수도설비공사(2021.10.19)043-851-6590충청북도 충주시 대소원면 산정독정길 143-136.953237127.8640482024-01-31
9(주)고남건설지반조성ㆍ포장공사업 +보링ㆍ그라우팅공사업(대업종전환)보링ㆍ그라우팅ㆍ파일공사(2015.05.04)043-855-3810충청북도 충주시 주덕읍 장터뒷길 4336.975299127.8007282024-01-31
업체명업종주력사업전화번호도로명 주소위도경도데이터 기준일
437현대엘리베이터(주)기계설비ㆍ가스공사업 +금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 +승강기ㆍ삭도공사업 +승강기설치공사업(대업종전환) +기계설비공사업(대업종전환) +금속구조물ㆍ창호ㆍ온실공사업(대업종전환)기계설비공사(2017.09.29)+금속구조물ㆍ창호ㆍ온실공사(2008.08.20)+승강기설치공사(1994.12.24)031-644-4904충청북도 충주시 충주산단1로 128 현대엘리베이터 (용탄동)37.008732127.9467092024-01-31
438현진환경(주)구조물해체ㆍ비계공사업 +비계ㆍ구조물해체공사업(대업종전환)구조물해체ㆍ비계공사(2010.03.03)043-848-1187충청북도 충주시 행정10길 21 (목행동)37.014025127.918332024-01-31
439협성건설(주)철근ㆍ콘크리트공사업 +금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 +실내건축공사업 +도장ㆍ습식ㆍ방수ㆍ석공사업(폐업) +석공사업(대업종전환) +금속구조물ㆍ창호ㆍ온실공사업(대업종전환) +철근ㆍ콘크리트공사업(대업종전환)철근ㆍ콘크리트공사(2012.06.12)+금속구조물ㆍ창호ㆍ온실공사(2020.03.12)+실내건축공사(2023.02.21)043-843-7906충청북도 충주시 금제9길 40-1 (금릉동)36.989366127.9278382024-01-31
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