Overview

Dataset statistics

Number of variables7
Number of observations2059
Missing cells95
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory116.8 KiB
Average record size in memory58.1 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description충청북도 청주시에 소재한 전문건설업 현황 데이터로 업체명, 대표자, 업종, 소재지, 전화번호에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15083662/fileData.do

Alerts

전화번호 has 91 (4.4%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:50:01.544967
Analysis finished2023-12-12 16:50:03.002997
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2059
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1030
Minimum1
Maximum2059
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-13T01:50:03.078808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile103.9
Q1515.5
median1030
Q31544.5
95-th percentile1956.1
Maximum2059
Range2058
Interquartile range (IQR)1029

Descriptive statistics

Standard deviation594.52642
Coefficient of variation (CV)0.57721012
Kurtosis-1.2
Mean1030
Median Absolute Deviation (MAD)515
Skewness0
Sum2120770
Variance353461.67
MonotonicityStrictly increasing
2023-12-13T01:50:03.250370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1417 1
 
< 0.1%
1383 1
 
< 0.1%
1382 1
 
< 0.1%
1381 1
 
< 0.1%
1380 1
 
< 0.1%
1379 1
 
< 0.1%
1378 1
 
< 0.1%
1377 1
 
< 0.1%
1376 1
 
< 0.1%
Other values (2049) 2049
99.5%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2059 1
< 0.1%
2058 1
< 0.1%
2057 1
< 0.1%
2056 1
< 0.1%
2055 1
< 0.1%
2054 1
< 0.1%
2053 1
< 0.1%
2052 1
< 0.1%
2051 1
< 0.1%
2050 1
< 0.1%

업체명
Text

Distinct1484
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
2023-12-13T01:50:03.497800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length7.4108791
Min length3

Characters and Unicode

Total characters15259
Distinct characters392
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1097 ?
Unique (%)53.3%

Sample

1st row(유)녹색산림개발
2nd row(유)로드원씨엔씨
3rd row(유)명지건설
4th row(유)성우종합개발
5th row(유)세인공영
ValueCountFrequency (%)
주)한울종합건설 8
 
0.4%
지엘선주식회사 7
 
0.3%
대신개발(주 6
 
0.3%
주)다산산업개발 6
 
0.3%
대동건설(주 6
 
0.3%
인성개발(주 6
 
0.3%
덕주건설(주 5
 
0.2%
철인산업개발(주 5
 
0.2%
주)정초 5
 
0.2%
금관건설주식회사 5
 
0.2%
Other values (1474) 2000
97.1%
2023-12-13T01:50:03.962535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1809
 
11.9%
( 1694
 
11.1%
) 1694
 
11.1%
건 748
 
4.9%
설 740
 
4.8%
이 364
 
2.4%
업 326
 
2.1%
산 285
 
1.9%
스 231
 
1.5%
엔 217
 
1.4%
Other values (382) 7151
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11792
77.3%
Open Punctuation 1694
 
11.1%
Close Punctuation 1694
 
11.1%
Uppercase Letter 62
 
0.4%
Other Punctuation 11
 
0.1%
Other Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1809
 
15.3%
건 748
 
6.3%
설 740
 
6.3%
이 364
 
3.1%
업 326
 
2.8%
산 285
 
2.4%
스 231
 
2.0%
엔 217
 
1.8%
지 214
 
1.8%
경 189
 
1.6%
Other values (359) 6669
56.6%
Uppercase Letter
ValueCountFrequency (%)
E 16
25.8%
N 14
22.6%
G 13
21.0%
C 4
 
6.5%
S 3
 
4.8%
K 2
 
3.2%
P 1
 
1.6%
T 1
 
1.6%
I 1
 
1.6%
O 1
 
1.6%
Other values (6) 6
 
9.7%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
/ 2
 
18.2%
& 1
 
9.1%
＆ 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 1694
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1694
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11798
77.3%
Common 3399
 
22.3%
Latin 62
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1809
 
15.3%
건 748
 
6.3%
설 740
 
6.3%
이 364
 
3.1%
업 326
 
2.8%
산 285
 
2.4%
스 231
 
2.0%
엔 217
 
1.8%
지 214
 
1.8%
경 189
 
1.6%
Other values (360) 6675
56.6%
Latin
ValueCountFrequency (%)
E 16
25.8%
N 14
22.6%
G 13
21.0%
C 4
 
6.5%
S 3
 
4.8%
K 2
 
3.2%
P 1
 
1.6%
T 1
 
1.6%
I 1
 
1.6%
O 1
 
1.6%
Other values (6) 6
 
9.7%
Common
ValueCountFrequency (%)
( 1694
49.8%
) 1694
49.8%
. 7
 
0.2%
/ 2
 
0.1%
& 1
 
< 0.1%
＆ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11792
77.3%
ASCII 3460
 
22.7%
None 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1809
 
15.3%
건 748
 
6.3%
설 740
 
6.3%
이 364
 
3.1%
업 326
 
2.8%
산 285
 
2.4%
스 231
 
2.0%
엔 217
 
1.8%
지 214
 
1.8%
경 189
 
1.6%
Other values (359) 6669
56.6%
ASCII
ValueCountFrequency (%)
( 1694
49.0%
) 1694
49.0%
E 16
 
0.5%
N 14
 
0.4%
G 13
 
0.4%
. 7
 
0.2%
C 4
 
0.1%
S 3
 
0.1%
K 2
 
0.1%
/ 2
 
0.1%
Other values (11) 11
 
0.3%
None
ValueCountFrequency (%)
㈜ 6
85.7%
＆ 1
 
14.3%

대표자
Text

Distinct1426
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
2023-12-13T01:50:04.328323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.1316173
Min length2

Characters and Unicode

Total characters6448
Distinct characters209
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1025 ?
Unique (%)49.8%

Sample

1st row성재인
2nd row김미예
3rd row전혁수
4th row김상호
5th row연제운
ValueCountFrequency (%)
이은주 8
 
0.4%
김미경 8
 
0.4%
박평권 7
 
0.3%
김영미 7
 
0.3%
이상훈 6
 
0.3%
장희숙 6
 
0.3%
윤동수 6
 
0.3%
박광운 6
 
0.3%
서관원 6
 
0.3%
김강분 6
 
0.3%
Other values (1416) 1993
96.8%
2023-12-13T01:50:05.054625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 452
 
7.0%
이 352
 
5.5%
영 210
 
3.3%
박 199
 
3.1%
정 192
 
3.0%
성 127
 
2.0%
수 119
 
1.8%
희 116
 
1.8%
상 112
 
1.7%
재 110
 
1.7%
Other values (199) 4459
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6379
98.9%
Other Punctuation 69
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 452
 
7.1%
이 352
 
5.5%
영 210
 
3.3%
박 199
 
3.1%
정 192
 
3.0%
성 127
 
2.0%
수 119
 
1.9%
희 116
 
1.8%
상 112
 
1.8%
재 110
 
1.7%
Other values (197) 4390
68.8%
Other Punctuation
ValueCountFrequency (%)
, 67
97.1%
， 2
 
2.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6379
98.9%
Common 69
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 452
 
7.1%
이 352
 
5.5%
영 210
 
3.3%
박 199
 
3.1%
정 192
 
3.0%
성 127
 
2.0%
수 119
 
1.9%
희 116
 
1.8%
상 112
 
1.8%
재 110
 
1.7%
Other values (197) 4390
68.8%
Common
ValueCountFrequency (%)
, 67
97.1%
， 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6379
98.9%
ASCII 67
 
1.0%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 452
 
7.1%
이 352
 
5.5%
영 210
 
3.3%
박 199
 
3.1%
정 192
 
3.0%
성 127
 
2.0%
수 119
 
1.9%
희 116
 
1.8%
상 112
 
1.8%
재 110
 
1.7%
Other values (197) 4390
68.8%
ASCII
ValueCountFrequency (%)
, 67
100.0%
None
ValueCountFrequency (%)
， 2
100.0%

업종
Categorical

Distinct14
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
가스난방공사업
263 
지반조성ㆍ포장공사업
257 
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업
248 
기계가스설비공사업
242 
시설물유지관리업
187 
Other values (9)
862 

Length

Max length17
Median length11
Mean length10.243808
Min length7

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row조경식재ㆍ시설물공사업
2nd row조경식재ㆍ시설물공사업
3rd row금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업
4th row시설물유지관리업
5th row기계가스설비공사업

Common Values

ValueCountFrequency (%)
가스난방공사업 263
12.8%
지반조성ㆍ포장공사업 257
12.5%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 248
12.0%
기계가스설비공사업 242
11.8%
시설물유지관리업 187
9.1%
조경식재ㆍ시설물공사업 183
8.9%
실내건축공사업 169
8.2%
도장ㆍ습식ㆍ방수ㆍ석공사업 158
7.7%
철근ㆍ콘크리트공사업 151
7.3%
상ㆍ하수도설비공사업 123
6.0%
Other values (4) 78
 
3.8%

Length

2023-12-13T01:50:05.198173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가스난방공사업 263
12.8%
지반조성ㆍ포장공사업 257
12.5%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 248
12.0%
기계가스설비공사업 242
11.8%
시설물유지관리업 187
9.1%
조경식재ㆍ시설물공사업 183
8.9%
실내건축공사업 169
8.2%
도장ㆍ습식ㆍ방수ㆍ석공사업 158
7.7%
철근ㆍ콘크리트공사업 151
7.3%
상ㆍ하수도설비공사업 123
6.0%
Other values (4) 78
 
3.8%

우편번호
Real number (ℝ)

Distinct403
Distinct (%)19.6%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean28400.69
Minimum28101
Maximum28808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-13T01:50:05.340870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28101
5-th percentile28119
Q128184
median28359
Q328576
95-th percentile28798
Maximum28808
Range707
Interquartile range (IQR)392

Descriptive statistics

Standard deviation222.47174
Coefficient of variation (CV)0.0078333218
Kurtosis-1.1558759
Mean28400.69
Median Absolute Deviation (MAD)182
Skewness0.36326302
Sum58363417
Variance49493.675
MonotonicityNot monotonic
2023-12-13T01:50:05.512954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28805 48
 
2.3%
28187 39
 
1.9%
28219 30
 
1.5%
28307 29
 
1.4%
28181 27
 
1.3%
28353 27
 
1.3%
28359 25
 
1.2%
28803 24
 
1.2%
28190 23
 
1.1%
28385 22
 
1.1%
Other values (393) 1761
85.5%
ValueCountFrequency (%)
28101 5
 
0.2%
28104 2
 
0.1%
28105 13
0.6%
28107 9
0.4%
28108 3
 
0.1%
28110 14
0.7%
28111 14
0.7%
28112 1
 
< 0.1%
28113 4
 
0.2%
28114 6
0.3%
ValueCountFrequency (%)
28808 2
 
0.1%
28806 2
 
0.1%
28805 48
2.3%
28804 6
 
0.3%
28803 24
1.2%
28802 20
1.0%
28798 2
 
0.1%
28786 3
 
0.1%
28784 10
 
0.5%
28783 9
 
0.4%

도로명주소
Text

Distinct1406
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
2023-12-13T01:50:05.921909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length49
Mean length30.864497
Min length19

Characters and Unicode

Total characters63550
Distinct characters298
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

Unique998 ?
Unique (%)48.5%

Sample

1st row충청북도 청주시 청원구 상당로232번길 6 , 5층 507호 (우암동)
2nd row충청북도 청주시 청원구 오창읍 양청택지1길 17-12 , 101호
3rd row충청북도 청주시 흥덕구 강내면 태성탑연로 261
4th row충청북도 청주시 상당구 용암북로68번길 5-5 , 2층 (용암동)
5th row충청북도 청주시 서원구 남이면 양촌2길 57
ValueCountFrequency (%)
청주시 2059
 
14.7%
충청북도 2048
 
14.6%
흥덕구 625
 
4.5%
청원구 556
 
4.0%
456
 
3.3%
서원구 448
 
3.2%
상당구 430
 
3.1%
2층 159
 
1.1%
남이면 153
 
1.1%
오창읍 142
 
1.0%
Other values (1833) 6906
49.4%
2023-12-13T01:50:06.439795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11923
 
18.8%
청 4771
 
7.5%
1 2260
 
3.6%
북 2218
 
3.5%
주 2157
 
3.4%
충 2123
 
3.3%
구 2103
 
3.3%
시 2100
 
3.3%
도 2074
 
3.3%
로 1724
 
2.7%
Other values (288) 30097
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37676
59.3%
Space Separator 11923
 
18.8%
Decimal Number 9671
 
15.2%
Close Punctuation 1367
 
2.2%
Open Punctuation 1367
 
2.2%
Other Punctuation 851
 
1.3%
Dash Punctuation 690
 
1.1%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 4771
 
12.7%
북 2218
 
5.9%
주 2157
 
5.7%
충 2123
 
5.6%
구 2103
 
5.6%
시 2100
 
5.6%
도 2074
 
5.5%
로 1724
 
4.6%
동 1512
 
4.0%
원 1098
 
2.9%
Other values (266) 15796
41.9%
Decimal Number
ValueCountFrequency (%)
1 2260
23.4%
2 1498
15.5%
3 1118
11.6%
0 882
 
9.1%
4 846
 
8.7%
5 745
 
7.7%
6 706
 
7.3%
8 569
 
5.9%
7 552
 
5.7%
9 495
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
D 1
20.0%
E 1
20.0%
B 1
20.0%
F 1
20.0%
A 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 724
85.1%
， 126
 
14.8%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
11923
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1367
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1367
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 690
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37676
59.3%
Common 25869
40.7%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 4771
 
12.7%
북 2218
 
5.9%
주 2157
 
5.7%
충 2123
 
5.6%
구 2103
 
5.6%
시 2100
 
5.6%
도 2074
 
5.5%
로 1724
 
4.6%
동 1512
 
4.0%
원 1098
 
2.9%
Other values (266) 15796
41.9%
Common
ValueCountFrequency (%)
11923
46.1%
1 2260
 
8.7%
2 1498
 
5.8%
) 1367
 
5.3%
( 1367
 
5.3%
3 1118
 
4.3%
0 882
 
3.4%
4 846
 
3.3%
5 745
 
2.9%
, 724
 
2.8%
Other values (7) 3139
 
12.1%
Latin
ValueCountFrequency (%)
D 1
20.0%
E 1
20.0%
B 1
20.0%
F 1
20.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37676
59.3%
ASCII 25748
40.5%
None 126
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11923
46.3%
1 2260
 
8.8%
2 1498
 
5.8%
) 1367
 
5.3%
( 1367
 
5.3%
3 1118
 
4.3%
0 882
 
3.4%
4 846
 
3.3%
5 745
 
2.9%
, 724
 
2.8%
Other values (11) 3018
 
11.7%
Hangul
ValueCountFrequency (%)
청 4771
 
12.7%
북 2218
 
5.9%
주 2157
 
5.7%
충 2123
 
5.6%
구 2103
 
5.6%
시 2100
 
5.6%
도 2074
 
5.5%
로 1724
 
4.6%
동 1512
 
4.0%
원 1098
 
2.9%
Other values (266) 15796
41.9%
None
ValueCountFrequency (%)
， 126
100.0%

전화번호
Text

MISSING 

Distinct1368
Distinct (%)69.5%
Missing91
Missing (%)4.4%
Memory size16.2 KiB
2023-12-13T01:50:06.753969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.019309
Min length9

Characters and Unicode

Total characters23654
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

Unique976 ?
Unique (%)49.6%

Sample

1st row043-906-2268
2nd row043-272-1618
3rd row043-232-0577
4th row043-296-7758
5th row044-862-2345
ValueCountFrequency (%)
043-284-9277 10
 
0.5%
043-287-0485 8
 
0.4%
043-250-9750 7
 
0.4%
043-213-0707 6
 
0.3%
043-215-0310 6
 
0.3%
043-296-6225 6
 
0.3%
043-286-9304 6
 
0.3%
043-297-3294 6
 
0.3%
043-216-6800 5
 
0.3%
043-297-2612 5
 
0.3%
Other values (1358) 1903
96.7%
2023-12-13T01:50:07.345768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3935
16.6%
0 3382
14.3%
3 3213
13.6%
4 2941
12.4%
2 2941
12.4%
1 1485
 
6.3%
7 1332
 
5.6%
6 1159
 
4.9%
5 1147
 
4.8%
8 1146
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19719
83.4%
Dash Punctuation 3935
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3382
17.2%
3 3213
16.3%
4 2941
14.9%
2 2941
14.9%
1 1485
7.5%
7 1332
 
6.8%
6 1159
 
5.9%
5 1147
 
5.8%
8 1146
 
5.8%
9 973
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 3935
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23654
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3935
16.6%
0 3382
14.3%
3 3213
13.6%
4 2941
12.4%
2 2941
12.4%
1 1485
 
6.3%
7 1332
 
5.6%
6 1159
 
4.9%
5 1147
 
4.8%
8 1146
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23654
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3935
16.6%
0 3382
14.3%
3 3213
13.6%
4 2941
12.4%
2 2941
12.4%
1 1485
 
6.3%
7 1332
 
5.6%
6 1159
 
4.9%
5 1147
 
4.8%
8 1146
 
4.8%

Interactions

2023-12-13T01:50:02.493230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:50:02.264329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:50:02.590666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:50:02.386664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:50:07.465246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종우편번호
번호1.0000.2530.218
업종0.2531.0000.197
우편번호0.2180.1971.000
2023-12-13T01:50:07.577354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호업종
번호1.0000.0380.104
우편번호0.0381.0000.080
업종0.1040.0801.000

Missing values

2023-12-13T01:50:02.723990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:50:02.842227image/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.
2023-12-13T01:50:02.947495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호업체명대표자업종우편번호도로명주소전화번호
01(유)녹색산림개발성재인조경식재ㆍ시설물공사업28505충청북도 청주시 청원구 상당로232번길 6 , 5층 507호 (우암동)043-906-2268
12(유)로드원씨엔씨김미예조경식재ㆍ시설물공사업28115충청북도 청주시 청원구 오창읍 양청택지1길 17-12 , 101호043-272-1618
23(유)명지건설전혁수금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업28173충청북도 청주시 흥덕구 강내면 태성탑연로 261043-232-0577
34(유)성우종합개발김상호시설물유지관리업28766충청북도 청주시 상당구 용암북로68번길 5-5 , 2층 (용암동)043-296-7758
45(유)세인공영연제운기계가스설비공사업28219충청북도 청주시 서원구 남이면 양촌2길 57044-862-2345
56(유)연합토건김규형시설물유지관리업28786충청북도 청주시 상당구 동남로 43 ,705호 (방서동)043-292-4032
67(유)유림산업개발박성훈조경식재ㆍ시설물공사업28119충청북도 청주시 청원구 오창읍 중심상업로 20 , 4층 404호 (거묵빌딩)043-715-7527
78(유)유림산업개발박성훈상ㆍ하수도설비공사업28119충청북도 청주시 청원구 오창읍 중심상업로 20 , 4층 404호 (거묵빌딩)043-715-7527
89(유)유림산업개발박성훈지반조성ㆍ포장공사업28119충청북도 청주시 청원구 오창읍 중심상업로 20 , 4층 404호 (거묵빌딩)043-715-7527
910(주)가온기술단이정환지반조성ㆍ포장공사업28329충청북도 청주시 청원구 율봉로159번길 73-1 , 109비호 (율량동, 스톰비오피스센터)070-7702-7884
번호업체명대표자업종우편번호도로명주소전화번호
20492050환희종합건설(주)권호택시설물유지관리업28172충청북도 청주시 흥덕구 강내면 다락탑연길 304043-215-1775
20502051효성산업개발(주)최태석시설물유지관리업28292충청북도 청주시 흥덕구 송화로166번길 4 , 201호 (송절동)043-215-4727
20512052효성산업개발(주)최태석지반조성ㆍ포장공사업28292충청북도 청주시 흥덕구 송화로166번길 4 , 201호 (송절동)043-215-4727
20522053효성산업개발(주)최태석기계가스설비공사업28292충청북도 청주시 흥덕구 송화로166번길 4 , 201호 (송절동)043-215-4727
20532054효성산업개발(주)최태석실내건축공사업28292충청북도 청주시 흥덕구 송화로166번길 4 , 201호 (송절동)043-215-4727
20542055효성산업개발(주)최태석철근ㆍ콘크리트공사업28292충청북도 청주시 흥덕구 송화로166번길 4 , 201호 (송절동)043-215-4727
20552056흥아설비공사남상흥가스난방공사업28707충청북도 청주시 서원구 수영로59번길 19-1 , 1층 2호 (수곡동)043-266-3164
20562057희광건설(주)최선해실내건축공사업28761충청북도 청주시 상당구 용암북로200번길 6 (용암동)043-294-0035
20572058희광건설(주)최선해지반조성ㆍ포장공사업28761충청북도 청주시 상당구 용암북로200번길 6 (용암동)043-294-0035
20582059희광건설(주)최선해시설물유지관리업28761충청북도 청주시 상당구 용암북로200번길 6 (용암동)043-294-0035