Overview

Dataset statistics

Number of variables9
Number of observations835
Missing cells136
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory59.7 KiB
Average record size in memory73.2 B

Variable types

Categorical4
Text4
Numeric1

Dataset

Description충청북도 충주시 공장등록 현황에 대한 데이터 제공(자치단체명, 회사명, 산업단지명, 전화번호, 종웝원수, 공장대표주소, 업종명, 담당부서, 부서전화번호)
URLhttps://www.data.go.kr/data/15034286/fileData.do

Alerts

자치단체명 has constant value ""Constant
담당부서 has constant value ""Constant
부서전화 is highly overall correlated with 단지명High correlation
단지명 is highly overall correlated with 부서전화High correlation
전화번호 has 136 (16.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:19:40.986234
Analysis finished2023-12-12 06:19:41.935819
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치단체명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
충청북도 충주시
835 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청북도 충주시
2nd row충청북도 충주시
3rd row충청북도 충주시
4th row충청북도 충주시
5th row충청북도 충주시

Common Values

ValueCountFrequency (%)
충청북도 충주시 835
100.0%

Length

2023-12-12T15:19:42.000821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:19:42.104141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청북도 835
50.0%
충주시 835
50.0%

회사명
Text

Distinct818
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-12T15:19:42.373947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.4407186
Min length2

Characters and Unicode

Total characters7048
Distinct characters442
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique802 ?
Unique (%)96.0%

Sample

1st row(유)이조황토방
2nd row(주) W
3rd row(주) 신평주철
4th row(주) 중원 지.엘.비
5th row(주) 티와이
ValueCountFrequency (%)
주식회사 169
 
15.3%
농업회사법인 21
 
1.9%
제2공장 15
 
1.4%
충주공장 15
 
1.4%
주 4
 
0.4%
유한회사 4
 
0.4%
주)보원케미칼 3
 
0.3%
제3공장 3
 
0.3%
충주2공장 3
 
0.3%
제1공장 3
 
0.3%
Other values (820) 864
78.3%
2023-12-12T15:19:42.886706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 693
 
9.8%
( 455
 
6.5%
) 455
 
6.5%
274
 
3.9%
사 269
 
3.8%
회 232
 
3.3%
이 216
 
3.1%
식 204
 
2.9%
업 146
 
2.1%
스 135
 
1.9%
Other values (432) 3969
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5761
81.7%
Open Punctuation 455
 
6.5%
Close Punctuation 455
 
6.5%
Space Separator 274
 
3.9%
Decimal Number 52
 
0.7%
Uppercase Letter 42
 
0.6%
Other Punctuation 8
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 693
 
12.0%
사 269
 
4.7%
회 232
 
4.0%
이 216
 
3.7%
식 204
 
3.5%
업 146
 
2.5%
스 135
 
2.3%
공 120
 
2.1%
에 112
 
1.9%
장 96
 
1.7%
Other values (403) 3538
61.4%
Uppercase Letter
ValueCountFrequency (%)
S 7
16.7%
N 5
11.9%
T 4
9.5%
H 3
 
7.1%
E 3
 
7.1%
P 3
 
7.1%
A 2
 
4.8%
M 2
 
4.8%
J 2
 
4.8%
W 2
 
4.8%
Other values (8) 9
21.4%
Decimal Number
ValueCountFrequency (%)
2 39
75.0%
1 7
 
13.5%
3 4
 
7.7%
5 1
 
1.9%
8 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
& 2
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 455
100.0%
Close Punctuation
ValueCountFrequency (%)
) 455
100.0%
Space Separator
ValueCountFrequency (%)
274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5759
81.7%
Common 1245
 
17.7%
Latin 42
 
0.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 693
 
12.0%
사 269
 
4.7%
회 232
 
4.0%
이 216
 
3.8%
식 204
 
3.5%
업 146
 
2.5%
스 135
 
2.3%
공 120
 
2.1%
에 112
 
1.9%
장 96
 
1.7%
Other values (401) 3536
61.4%
Latin
ValueCountFrequency (%)
S 7
16.7%
N 5
11.9%
T 4
9.5%
H 3
 
7.1%
E 3
 
7.1%
P 3
 
7.1%
A 2
 
4.8%
M 2
 
4.8%
J 2
 
4.8%
W 2
 
4.8%
Other values (8) 9
21.4%
Common
ValueCountFrequency (%)
( 455
36.5%
) 455
36.5%
274
22.0%
2 39
 
3.1%
1 7
 
0.6%
. 6
 
0.5%
3 4
 
0.3%
& 2
 
0.2%
5 1
 
0.1%
8 1
 
0.1%
Han
ValueCountFrequency (%)
焄 1
50.0%
新 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5759
81.7%
ASCII 1287
 
18.3%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 693
 
12.0%
사 269
 
4.7%
회 232
 
4.0%
이 216
 
3.8%
식 204
 
3.5%
업 146
 
2.5%
스 135
 
2.3%
공 120
 
2.1%
에 112
 
1.9%
장 96
 
1.7%
Other values (401) 3536
61.4%
ASCII
ValueCountFrequency (%)
( 455
35.4%
) 455
35.4%
274
21.3%
2 39
 
3.0%
S 7
 
0.5%
1 7
 
0.5%
. 6
 
0.5%
N 5
 
0.4%
T 4
 
0.3%
3 4
 
0.3%
Other values (19) 31
 
2.4%
CJK
ValueCountFrequency (%)
焄 1
50.0%
新 1
50.0%

단지명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
518 
충주제2지방산업단지
67 
충주첨단일반산업단지
55 
충주메가폴리스일반산업단지
 
42
충주제1일반산업단지
 
38
Other values (13)
115 

Length

Max length13
Median length4
Mean length6.2838323
Min length4

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row충주용탄농공단지
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 518
62.0%
충주제2지방산업단지 67
 
8.0%
충주첨단일반산업단지 55
 
6.6%
충주메가폴리스일반산업단지 42
 
5.0%
충주제1일반산업단지 38
 
4.6%
충주중원일반산업단지 29
 
3.5%
충주용탄농공단지 23
 
2.8%
충주가주농공단지 16
 
1.9%
충주주덕농공단지 15
 
1.8%
충주중앙탑농공단지 9
 
1.1%
Other values (8) 23
 
2.8%

Length

2023-12-12T15:19:43.367393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 518
62.0%
충주제2지방산업단지 67
 
8.0%
충주첨단일반산업단지 55
 
6.6%
충주메가폴리스일반산업단지 42
 
5.0%
충주제1일반산업단지 38
 
4.6%
충주중원일반산업단지 29
 
3.5%
충주용탄농공단지 23
 
2.8%
충주가주농공단지 16
 
1.9%
충주주덕농공단지 15
 
1.8%
충주중앙탑농공단지 9
 
1.1%
Other values (8) 23
 
2.8%

전화번호
Text

MISSING 

Distinct634
Distinct (%)90.7%
Missing136
Missing (%)16.3%
Memory size6.7 KiB
2023-12-12T15:19:43.638145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.010014
Min length9

Characters and Unicode

Total characters8395
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

Unique578 ?
Unique (%)82.7%

Sample

1st row043-842-2570
2nd row043-851-7763
3rd row043-856-2297
4th row043-844-1100
5th row043-848-0992
ValueCountFrequency (%)
043-844-1100 4
 
0.6%
043-853-8801 3
 
0.4%
043-724-2917 3
 
0.4%
043-857-9755 3
 
0.4%
043-855-2796 3
 
0.4%
043-845-0555 3
 
0.4%
043-857-0311 3
 
0.4%
043-857-9893 3
 
0.4%
043-857-0008 2
 
0.3%
043-853-7207 2
 
0.3%
Other values (624) 670
95.9%
2023-12-12T15:19:44.114654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1397
16.6%
0 1272
15.2%
4 1110
13.2%
3 1040
12.4%
8 857
10.2%
5 711
8.5%
1 517
 
6.2%
2 502
 
6.0%
7 413
 
4.9%
6 329
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6998
83.4%
Dash Punctuation 1397
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1272
18.2%
4 1110
15.9%
3 1040
14.9%
8 857
12.2%
5 711
10.2%
1 517
7.4%
2 502
 
7.2%
7 413
 
5.9%
6 329
 
4.7%
9 247
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 1397
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8395
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1397
16.6%
0 1272
15.2%
4 1110
13.2%
3 1040
12.4%
8 857
10.2%
5 711
8.5%
1 517
 
6.2%
2 502
 
6.0%
7 413
 
4.9%
6 329
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8395
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1397
16.6%
0 1272
15.2%
4 1110
13.2%
3 1040
12.4%
8 857
10.2%
5 711
8.5%
1 517
 
6.2%
2 502
 
6.0%
7 413
 
4.9%
6 329
 
3.9%

종업원수
Real number (ℝ)

Distinct122
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.883832
Minimum0
Maximum1469
Zeros6
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-12T15:19:44.368199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median10
Q324.5
95-th percentile110.6
Maximum1469
Range1469
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation73.385171
Coefficient of variation (CV)2.5407006
Kurtosis188.40148
Mean28.883832
Median Absolute Deviation (MAD)6
Skewness11.224334
Sum24118
Variance5385.3834
MonotonicityNot monotonic
2023-12-12T15:19:44.601106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 77
 
9.2%
6 56
 
6.7%
10 55
 
6.6%
2 45
 
5.4%
4 44
 
5.3%
3 38
 
4.6%
15 36
 
4.3%
7 34
 
4.1%
8 33
 
4.0%
20 28
 
3.4%
Other values (112) 389
46.6%
ValueCountFrequency (%)
0 6
 
0.7%
1 13
 
1.6%
2 45
5.4%
3 38
4.6%
4 44
5.3%
5 77
9.2%
6 56
6.7%
7 34
4.1%
8 33
4.0%
9 27
 
3.2%
ValueCountFrequency (%)
1469 1
0.1%
570 1
0.1%
560 1
0.1%
476 1
0.1%
455 1
0.1%
387 1
0.1%
320 1
0.1%
311 1
0.1%
298 1
0.1%
293 1
0.1%

공장대표주소
Text

Distinct800
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-12T15:19:44.969306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length23.311377
Min length16

Characters and Unicode

Total characters19465
Distinct characters204
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

Unique771 ?
Unique (%)92.3%

Sample

1st row충청북도 충주시 동량면 대전리 1698-1번지
2nd row충청북도 충주시 성서동 250-1번지 동서빌딩 3층
3rd row충청북도 충주시 가주동 531-6번지
4th row충청북도 충주시 용탄동 168-12번지
5th row충청북도 충주시 주덕읍 당우리 886-2
ValueCountFrequency (%)
충청북도 835
20.3%
충주시 835
20.3%
대소원면 154
 
3.7%
주덕읍 121
 
2.9%
용탄동 118
 
2.9%
영평리 62
 
1.5%
신니면 54
 
1.3%
당우리 46
 
1.1%
중앙탑면 38
 
0.9%
목행동 37
 
0.9%
Other values (935) 1821
44.2%
2023-12-12T15:19:45.551451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3325
17.1%
충 1690
 
8.7%
주 1006
 
5.2%
청 871
 
4.5%
도 842
 
4.3%
시 838
 
4.3%
북 835
 
4.3%
지 669
 
3.4%
1 657
 
3.4%
번 604
 
3.1%
Other values (194) 8128
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12156
62.5%
Space Separator 3325
 
17.1%
Decimal Number 3253
 
16.7%
Dash Punctuation 496
 
2.5%
Open Punctuation 105
 
0.5%
Close Punctuation 105
 
0.5%
Uppercase Letter 20
 
0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 1690
13.9%
주 1006
 
8.3%
청 871
 
7.2%
도 842
 
6.9%
시 838
 
6.9%
북 835
 
6.9%
지 669
 
5.5%
번 604
 
5.0%
리 603
 
5.0%
면 464
 
3.8%
Other values (166) 3734
30.7%
Uppercase Letter
ValueCountFrequency (%)
H 3
15.0%
I 3
15.0%
B 3
15.0%
T 2
10.0%
D 2
10.0%
E 2
10.0%
G 1
 
5.0%
A 1
 
5.0%
C 1
 
5.0%
S 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 657
20.2%
2 404
12.4%
3 344
10.6%
4 315
9.7%
6 300
9.2%
5 299
9.2%
8 264
8.1%
0 250
 
7.7%
7 250
 
7.7%
9 170
 
5.2%
Open Punctuation
ValueCountFrequency (%)
( 101
96.2%
[ 4
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 101
96.2%
] 4
 
3.8%
Space Separator
ValueCountFrequency (%)
3325
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 496
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12156
62.5%
Common 7289
37.4%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 1690
13.9%
주 1006
 
8.3%
청 871
 
7.2%
도 842
 
6.9%
시 838
 
6.9%
북 835
 
6.9%
지 669
 
5.5%
번 604
 
5.0%
리 603
 
5.0%
면 464
 
3.8%
Other values (166) 3734
30.7%
Common
ValueCountFrequency (%)
3325
45.6%
1 657
 
9.0%
- 496
 
6.8%
2 404
 
5.5%
3 344
 
4.7%
4 315
 
4.3%
6 300
 
4.1%
5 299
 
4.1%
8 264
 
3.6%
0 250
 
3.4%
Other values (7) 635
 
8.7%
Latin
ValueCountFrequency (%)
H 3
15.0%
I 3
15.0%
B 3
15.0%
T 2
10.0%
D 2
10.0%
E 2
10.0%
G 1
 
5.0%
A 1
 
5.0%
C 1
 
5.0%
S 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12156
62.5%
ASCII 7309
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3325
45.5%
1 657
 
9.0%
- 496
 
6.8%
2 404
 
5.5%
3 344
 
4.7%
4 315
 
4.3%
6 300
 
4.1%
5 299
 
4.1%
8 264
 
3.6%
0 250
 
3.4%
Other values (18) 655
 
9.0%
Hangul
ValueCountFrequency (%)
충 1690
13.9%
주 1006
 
8.3%
청 871
 
7.2%
도 842
 
6.9%
시 838
 
6.9%
북 835
 
6.9%
지 669
 
5.5%
번 604
 
5.0%
리 603
 
5.0%
면 464
 
3.8%
Other values (166) 3734
30.7%

업종명
Text

Distinct431
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-12T15:19:46.056515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length18.045509
Min length3

Characters and Unicode

Total characters15068
Distinct characters282
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

Unique284 ?
Unique (%)34.0%

Sample

1st row가정용 전기 난방기기 제조업
2nd row그 외 기타 플라스틱 제품 제조업
3rd row선철주물 주조업 외 3 종
4th row플라스틱 접착처리 제품 제조업 외 6 종
5th row가금류 가공 및 저장 처리업
ValueCountFrequency (%)
제조업 705
 
14.3%
외 473
 
9.6%
및 393
 
8.0%
종 384
 
7.8%
기타 236
 
4.8%
1 196
 
4.0%
그 89
 
1.8%
2 82
 
1.7%
플라스틱 68
 
1.4%
금속 67
 
1.4%
Other values (443) 2235
45.4%
2023-12-12T15:19:46.729762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4093
27.2%
제 997
 
6.6%
조 872
 
5.8%
업 860
 
5.7%
외 495
 
3.3%
기 407
 
2.7%
종 400
 
2.7%
및 393
 
2.6%
품 294
 
2.0%
타 248
 
1.6%
Other values (272) 6009
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10441
69.3%
Space Separator 4093
 
27.2%
Decimal Number 392
 
2.6%
Other Punctuation 104
 
0.7%
Close Punctuation 19
 
0.1%
Open Punctuation 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 997
 
9.5%
조 872
 
8.4%
업 860
 
8.2%
외 495
 
4.7%
기 407
 
3.9%
종 400
 
3.8%
및 393
 
3.8%
품 294
 
2.8%
타 248
 
2.4%
용 219
 
2.1%
Other values (257) 5256
50.3%
Decimal Number
ValueCountFrequency (%)
1 203
51.8%
2 84
21.4%
3 46
 
11.7%
4 23
 
5.9%
5 14
 
3.6%
7 9
 
2.3%
6 8
 
2.0%
8 3
 
0.8%
9 1
 
0.3%
0 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 90
86.5%
. 14
 
13.5%
Space Separator
ValueCountFrequency (%)
4093
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10441
69.3%
Common 4627
30.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 997
 
9.5%
조 872
 
8.4%
업 860
 
8.2%
외 495
 
4.7%
기 407
 
3.9%
종 400
 
3.8%
및 393
 
3.8%
품 294
 
2.8%
타 248
 
2.4%
용 219
 
2.1%
Other values (257) 5256
50.3%
Common
ValueCountFrequency (%)
4093
88.5%
1 203
 
4.4%
, 90
 
1.9%
2 84
 
1.8%
3 46
 
1.0%
4 23
 
0.5%
) 19
 
0.4%
( 19
 
0.4%
5 14
 
0.3%
. 14
 
0.3%
Other values (5) 22
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10419
69.1%
ASCII 4627
30.7%
Compat Jamo 22
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4093
88.5%
1 203
 
4.4%
, 90
 
1.9%
2 84
 
1.8%
3 46
 
1.0%
4 23
 
0.5%
) 19
 
0.4%
( 19
 
0.4%
5 14
 
0.3%
. 14
 
0.3%
Other values (5) 22
 
0.5%
Hangul
ValueCountFrequency (%)
제 997
 
9.6%
조 872
 
8.4%
업 860
 
8.3%
외 495
 
4.8%
기 407
 
3.9%
종 400
 
3.8%
및 393
 
3.8%
품 294
 
2.8%
타 248
 
2.4%
용 219
 
2.1%
Other values (256) 5234
50.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 22
100.0%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
충주시청 허가민원과
835 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충주시청 허가민원과
2nd row충주시청 허가민원과
3rd row충주시청 허가민원과
4th row충주시청 허가민원과
5th row충주시청 허가민원과

Common Values

ValueCountFrequency (%)
충주시청 허가민원과 835
100.0%

Length

2023-12-12T15:19:46.901859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:19:47.038474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충주시청 835
50.0%
허가민원과 835
50.0%

부서전화
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
043-850-1712
714 
043-843-7045
121 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row043-850-1712
2nd row043-850-1712
3rd row043-850-1712
4th row043-850-1712
5th row043-850-1712

Common Values

ValueCountFrequency (%)
043-850-1712 714
85.5%
043-843-7045 121
 
14.5%

Length

2023-12-12T15:19:47.173460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:19:47.293338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
043-850-1712 714
85.5%
043-843-7045 121
 
14.5%

Interactions

2023-12-12T15:19:41.593482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:19:47.383514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명종업원수부서전화
단지명1.0000.0001.000
종업원수0.0001.0000.120
부서전화1.0000.1201.000
2023-12-12T15:19:47.499990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부서전화단지명
부서전화1.0000.976
단지명0.9761.000
2023-12-12T15:19:47.614374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수단지명부서전화
종업원수1.0000.0000.147
단지명0.0001.0000.976
부서전화0.1470.9761.000

Missing values

2023-12-12T15:19:41.746907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:19:41.883771image/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

자치단체명회사명단지명전화번호종업원수공장대표주소업종명담당부서부서전화
0충청북도 충주시(유)이조황토방<NA>043-842-257011충청북도 충주시 동량면 대전리 1698-1번지가정용 전기 난방기기 제조업충주시청 허가민원과043-850-1712
1충청북도 충주시(주) W<NA>043-851-77633충청북도 충주시 성서동 250-1번지 동서빌딩 3층그 외 기타 플라스틱 제품 제조업충주시청 허가민원과043-850-1712
2충청북도 충주시(주) 신평주철<NA>043-856-22976충청북도 충주시 가주동 531-6번지선철주물 주조업 외 3 종충주시청 허가민원과043-850-1712
3충청북도 충주시(주) 중원 지.엘.비충주용탄농공단지043-844-110027충청북도 충주시 용탄동 168-12번지플라스틱 접착처리 제품 제조업 외 6 종충주시청 허가민원과043-850-1712
4충청북도 충주시(주) 티와이<NA>043-848-099224충청북도 충주시 주덕읍 당우리 886-2가금류 가공 및 저장 처리업충주시청 허가민원과043-850-1712
5충청북도 충주시(주)TNP제2공장충주주덕농공단지043-844-133118충청북도 충주시 주덕읍 삼청리 248-20번지비주거용 건물 임대업충주시청 허가민원과043-850-1712
6충청북도 충주시(주)가람에스티<NA>043-843-83009충청북도 충주시 소태면 양촌리 428-0번지절삭가공 및 유사처리업충주시청 허가민원과043-850-1712
7충청북도 충주시(주)가희신니공장<NA>043-856-901198충청북도 충주시 신니면 견학리 3번지면 방적업충주시청 허가민원과043-850-1712
8충청북도 충주시(주)경동에버런<NA>043-850-300075충청북도 충주시 앙성면 돈산리 233번지가정용 비전기식 조리 및 난방 기구 제조업충주시청 허가민원과043-850-1712
9충청북도 충주시(주)경우단열<NA><NA>2충청북도 충주시 앙성면 본평리 684-1번지비내화 모르타르 제조업충주시청 허가민원과043-850-1712
자치단체명회사명단지명전화번호종업원수공장대표주소업종명담당부서부서전화
825충청북도 충주시한국아사히프리텍(주)충주제1일반산업단지043-723-253420충청북도 충주시 용탄동 1131-2번지기타 비철금속 제련, 정련 및 합금 제조업충주시청 허가민원과043-843-7045
826충청북도 충주시한국에이버리데니슨(유)충주제1일반산업단지043-849-031077충청북도 충주시 용탄동 710-2번지 (제1산업단지)적층, 합성 및 특수표면처리 종이 제조업충주시청 허가민원과043-843-7045
827충청북도 충주시한국트랜스(주)충주제1일반산업단지043-853-174225충청북도 충주시 금릉동 187-8번지 (제1산업단지)변압기 제조업충주시청 허가민원과043-843-7045
828충청북도 충주시한국필터(주)충주제2지방산업단지043-855-207025충청북도 충주시 용탄동 643-10번지액체 여과기 제조업충주시청 허가민원과043-843-7045
829충청북도 충주시한일식품(주)충주제5일반산업단지031-638-228515충청북도 충주시 용탄동 1229면류, 마카로니 및 유사식품 제조업 외 2 종충주시청 허가민원과043-843-7045
830충청북도 충주시합동산업충주제1일반산업단지043-853-42564충청북도 충주시 목행동 526-34번지건설 및 채광용 기계장비 제조업충주시청 허가민원과043-843-7045
831충청북도 충주시현대성우캐스팅(주)1공장충주제2지방산업단지043-850-0114254충청북도 충주시 용탄동 626-1번지그외 기타 자동차 부품 제조업충주시청 허가민원과043-843-7045
832충청북도 충주시현대성우캐스팅(주)2공장충주제2지방산업단지043-850-0114311충청북도 충주시 용탄동 946-10번지그 외 자동차용 신품 부품 제조업충주시청 허가민원과043-843-7045
833충청북도 충주시현대엘리베이터(주)충주제5일반산업단지043-722-1000560충청북도 충주시 용탄동 1157 현대엘리베어터승강기 제조업충주시청 허가민원과043-843-7045
834충청북도 충주시흥남기업사충주제2지방산업단지031-499-181920충청북도 충주시 용탄동 921-4번지 (제2산업단지)볼트 및 너트류 제조업 외 2 종충주시청 허가민원과043-843-7045