Overview

Dataset statistics

Number of variables8
Number of observations413
Missing cells55
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.7 KiB
Average record size in memory66.3 B

Variable types

Numeric2
Text4
Categorical2

Dataset

Description충청북도 제천시의 공장등록현황입니다. (등록일시 기준 375개 업체)- 공장의 종류(제조, 임대, 발전 등 상세사항)- 업체의 이름과 주소, 연락처와 근무하는 근로자 수- 위치한 산업단지 분류
Author충청북도 제천시
URLhttps://www.data.go.kr/data/15034262/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 단지High correlation
단지 is highly overall correlated with 순번High correlation
주소 has 6 (1.5%) missing valuesMissing
전화번호 has 49 (11.9%) missing valuesMissing
순번 has unique valuesUnique
근로자수 has 10 (2.4%) zerosZeros

Reproduction

Analysis started2024-03-15 01:55:11.925211
Analysis finished2024-03-15 01:55:14.751066
Duration2.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct413
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207
Minimum1
Maximum413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-03-15T10:55:14.979749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.6
Q1104
median207
Q3310
95-th percentile392.4
Maximum413
Range412
Interquartile range (IQR)206

Descriptive statistics

Standard deviation119.36708
Coefficient of variation (CV)0.57665256
Kurtosis-1.2
Mean207
Median Absolute Deviation (MAD)103
Skewness0
Sum85491
Variance14248.5
MonotonicityStrictly increasing
2024-03-15T10:55:15.495884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
273 1
 
0.2%
283 1
 
0.2%
282 1
 
0.2%
281 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
276 1
 
0.2%
Other values (403) 403
97.6%
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 (%)
413 1
0.2%
412 1
0.2%
411 1
0.2%
410 1
0.2%
409 1
0.2%
408 1
0.2%
407 1
0.2%
406 1
0.2%
405 1
0.2%
404 1
0.2%

업종명
Text

Distinct238
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-15T10:55:16.713129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length18.075061
Min length6

Characters and Unicode

Total characters7465
Distinct characters239
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

Unique169 ?
Unique (%)40.9%

Sample

1st row산업용 그 외 비경화 고무제품 제조업 외 1 종
2nd row일반 제재업 외 5 종
3rd row전동기 및 발전기 제조업
4th row연탄 및 기타 석탄 가공품 제조업
5th row육류 도축업(가금류 제외) 외 2 종
ValueCountFrequency (%)
제조업 343
 
14.0%
외 253
 
10.4%
종 194
 
7.9%
및 177
 
7.2%
기타 122
 
5.0%
1 99
 
4.1%
그 59
 
2.4%
자동차용 32
 
1.3%
신품 31
 
1.3%
5 29
 
1.2%
Other values (292) 1105
45.2%
2024-03-15T10:55:18.315008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2031
27.2%
제 464
 
6.2%
업 425
 
5.7%
조 396
 
5.3%
외 266
 
3.6%
기 233
 
3.1%
종 200
 
2.7%
품 192
 
2.6%
및 177
 
2.4%
타 127
 
1.7%
Other values (229) 2954
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5163
69.2%
Space Separator 2031
 
27.2%
Decimal Number 205
 
2.7%
Other Punctuation 42
 
0.6%
Open Punctuation 12
 
0.2%
Close Punctuation 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 464
 
9.0%
업 425
 
8.2%
조 396
 
7.7%
외 266
 
5.2%
기 233
 
4.5%
종 200
 
3.9%
품 192
 
3.7%
및 177
 
3.4%
타 127
 
2.5%
용 118
 
2.3%
Other values (215) 2565
49.7%
Decimal Number
ValueCountFrequency (%)
1 109
53.2%
2 32
 
15.6%
5 30
 
14.6%
3 18
 
8.8%
6 7
 
3.4%
4 5
 
2.4%
9 2
 
1.0%
8 1
 
0.5%
0 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 41
97.6%
. 1
 
2.4%
Space Separator
ValueCountFrequency (%)
2031
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5163
69.2%
Common 2302
30.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 464
 
9.0%
업 425
 
8.2%
조 396
 
7.7%
외 266
 
5.2%
기 233
 
4.5%
종 200
 
3.9%
품 192
 
3.7%
및 177
 
3.4%
타 127
 
2.5%
용 118
 
2.3%
Other values (215) 2565
49.7%
Common
ValueCountFrequency (%)
2031
88.2%
1 109
 
4.7%
, 41
 
1.8%
2 32
 
1.4%
5 30
 
1.3%
3 18
 
0.8%
( 12
 
0.5%
) 12
 
0.5%
6 7
 
0.3%
4 5
 
0.2%
Other values (4) 5
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5154
69.0%
ASCII 2302
30.8%
Compat Jamo 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2031
88.2%
1 109
 
4.7%
, 41
 
1.8%
2 32
 
1.4%
5 30
 
1.3%
3 18
 
0.8%
( 12
 
0.5%
) 12
 
0.5%
6 7
 
0.3%
4 5
 
0.2%
Other values (4) 5
 
0.2%
Hangul
ValueCountFrequency (%)
제 464
 
9.0%
업 425
 
8.2%
조 396
 
7.7%
외 266
 
5.2%
기 233
 
4.5%
종 200
 
3.9%
품 192
 
3.7%
및 177
 
3.4%
타 127
 
2.5%
용 118
 
2.3%
Other values (214) 2556
49.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
100.0%

업체명
Text

Distinct407
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-15T10:55:19.161695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.9733656
Min length2

Characters and Unicode

Total characters3293
Distinct characters343
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)97.3%

Sample

1st row(자)삼원기업
2nd row(자)영창목재상사
3rd row(주)건주
4th row(주)경동개발
5th row(주)금보식품
ValueCountFrequency (%)
주식회사 50
 
10.2%
농업회사법인 5
 
1.0%
제2공장 5
 
1.0%
제천공장 4
 
0.8%
주)위매스 3
 
0.6%
대림비앤코(주 3
 
0.6%
주)원일바이오 3
 
0.6%
제천광역친환경영농조합법인 2
 
0.4%
주)한일아스콘 2
 
0.4%
주)혜성 2
 
0.4%
Other values (405) 413
83.9%
2024-03-15T10:55:20.495374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 301
 
9.1%
( 251
 
7.6%
) 251
 
7.6%
이 87
 
2.6%
사 81
 
2.5%
79
 
2.4%
스 73
 
2.2%
회 70
 
2.1%
식 66
 
2.0%
업 63
 
1.9%
Other values (333) 1971
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2671
81.1%
Open Punctuation 251
 
7.6%
Close Punctuation 251
 
7.6%
Space Separator 79
 
2.4%
Uppercase Letter 19
 
0.6%
Decimal Number 16
 
0.5%
Lowercase Letter 3
 
0.1%
Other Punctuation 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 301
 
11.3%
이 87
 
3.3%
사 81
 
3.0%
스 73
 
2.7%
회 70
 
2.6%
식 66
 
2.5%
업 63
 
2.4%
제 55
 
2.1%
공 45
 
1.7%
인 43
 
1.6%
Other values (310) 1787
66.9%
Uppercase Letter
ValueCountFrequency (%)
T 2
10.5%
S 2
10.5%
G 2
10.5%
F 2
10.5%
H 2
10.5%
E 2
10.5%
N 2
10.5%
B 1
5.3%
M 1
5.3%
V 1
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
2 11
68.8%
3 2
 
12.5%
1 2
 
12.5%
4 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
i 2
66.7%
a 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 251
100.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2672
81.1%
Common 599
 
18.2%
Latin 22
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 301
 
11.3%
이 87
 
3.3%
사 81
 
3.0%
스 73
 
2.7%
회 70
 
2.6%
식 66
 
2.5%
업 63
 
2.4%
제 55
 
2.1%
공 45
 
1.7%
인 43
 
1.6%
Other values (311) 1788
66.9%
Latin
ValueCountFrequency (%)
T 2
9.1%
i 2
9.1%
S 2
9.1%
G 2
9.1%
F 2
9.1%
H 2
9.1%
E 2
9.1%
N 2
9.1%
B 1
 
4.5%
M 1
 
4.5%
Other values (4) 4
18.2%
Common
ValueCountFrequency (%)
( 251
41.9%
) 251
41.9%
79
 
13.2%
2 11
 
1.8%
3 2
 
0.3%
1 2
 
0.3%
& 2
 
0.3%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2671
81.1%
ASCII 621
 
18.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 301
 
11.3%
이 87
 
3.3%
사 81
 
3.0%
스 73
 
2.7%
회 70
 
2.6%
식 66
 
2.5%
업 63
 
2.4%
제 55
 
2.1%
공 45
 
1.7%
인 43
 
1.6%
Other values (310) 1787
66.9%
ASCII
ValueCountFrequency (%)
( 251
40.4%
) 251
40.4%
79
 
12.7%
2 11
 
1.8%
T 2
 
0.3%
i 2
 
0.3%
S 2
 
0.3%
3 2
 
0.3%
1 2
 
0.3%
& 2
 
0.3%
Other values (12) 17
 
2.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주소
Text

MISSING 

Distinct342
Distinct (%)84.0%
Missing6
Missing (%)1.5%
Memory size3.4 KiB
2024-03-15T10:55:21.706431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length50
Mean length25.402948
Min length8

Characters and Unicode

Total characters10339
Distinct characters194
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

Unique319 ?
Unique (%)78.4%

Sample

1st row충청북도 제천시 송학면 송학산로 120
2nd row충청북도 제천시 단양로 3015 (대랑동) 외 1필지
3rd row충청북도 제천시 용두대로 209 (하소동) 외 4필지
4th row충청북도 제천시 내토로 912 (장락동, (주)경동개발)
5th row충청북도 제천시 청풍호로19안길 65 (산곡동) (총 4 필지) 외 3필지
ValueCountFrequency (%)
제천시 407
18.7%
충청북도 406
18.7%
왕암동 123
 
5.7%
외 55
 
2.5%
금성면 51
 
2.3%
송학면 38
 
1.7%
봉양읍 37
 
1.7%
바이오밸리1로 29
 
1.3%
강제동 28
 
1.3%
한방엑스포로 24
 
1.1%
Other values (438) 978
44.9%
2024-03-15T10:55:23.706747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1770
 
17.1%
제 495
 
4.8%
천 439
 
4.2%
청 435
 
4.2%
북 426
 
4.1%
도 416
 
4.0%
시 413
 
4.0%
충 410
 
4.0%
로 372
 
3.6%
1 312
 
3.0%
Other values (184) 4851
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6431
62.2%
Space Separator 1770
 
17.1%
Decimal Number 1422
 
13.8%
Close Punctuation 282
 
2.7%
Open Punctuation 282
 
2.7%
Other Punctuation 75
 
0.7%
Dash Punctuation 59
 
0.6%
Uppercase Letter 18
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 495
 
7.7%
천 439
 
6.8%
청 435
 
6.8%
북 426
 
6.6%
도 416
 
6.5%
시 413
 
6.4%
충 410
 
6.4%
로 372
 
5.8%
동 269
 
4.2%
암 169
 
2.6%
Other values (163) 2587
40.2%
Decimal Number
ValueCountFrequency (%)
1 312
21.9%
2 244
17.2%
4 168
11.8%
3 135
9.5%
5 119
 
8.4%
6 117
 
8.2%
0 108
 
7.6%
8 83
 
5.8%
7 70
 
4.9%
9 66
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
G 12
66.7%
A 2
 
11.1%
B 1
 
5.6%
V 1
 
5.6%
C 1
 
5.6%
D 1
 
5.6%
Space Separator
ValueCountFrequency (%)
1770
100.0%
Close Punctuation
ValueCountFrequency (%)
) 282
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Other Punctuation
ValueCountFrequency (%)
, 75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6431
62.2%
Common 3890
37.6%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 495
 
7.7%
천 439
 
6.8%
청 435
 
6.8%
북 426
 
6.6%
도 416
 
6.5%
시 413
 
6.4%
충 410
 
6.4%
로 372
 
5.8%
동 269
 
4.2%
암 169
 
2.6%
Other values (163) 2587
40.2%
Common
ValueCountFrequency (%)
1770
45.5%
1 312
 
8.0%
) 282
 
7.2%
( 282
 
7.2%
2 244
 
6.3%
4 168
 
4.3%
3 135
 
3.5%
5 119
 
3.1%
6 117
 
3.0%
0 108
 
2.8%
Other values (5) 353
 
9.1%
Latin
ValueCountFrequency (%)
G 12
66.7%
A 2
 
11.1%
B 1
 
5.6%
V 1
 
5.6%
C 1
 
5.6%
D 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6431
62.2%
ASCII 3908
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1770
45.3%
1 312
 
8.0%
) 282
 
7.2%
( 282
 
7.2%
2 244
 
6.2%
4 168
 
4.3%
3 135
 
3.5%
5 119
 
3.0%
6 117
 
3.0%
0 108
 
2.8%
Other values (11) 371
 
9.5%
Hangul
ValueCountFrequency (%)
제 495
 
7.7%
천 439
 
6.8%
청 435
 
6.8%
북 426
 
6.6%
도 416
 
6.5%
시 413
 
6.4%
충 410
 
6.4%
로 372
 
5.8%
동 269
 
4.2%
암 169
 
2.6%
Other values (163) 2587
40.2%

근로자수
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.968523
Minimum0
Maximum840
Zeros10
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-03-15T10:55:24.037329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q320
95-th percentile76.4
Maximum840
Range840
Interquartile range (IQR)16

Descriptive statistics

Standard deviation56.871013
Coefficient of variation (CV)2.4760414
Kurtosis110.51024
Mean22.968523
Median Absolute Deviation (MAD)5
Skewness8.9558374
Sum9486
Variance3234.3121
MonotonicityNot monotonic
2024-03-15T10:55:24.293734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 46
 
11.1%
2 28
 
6.8%
4 26
 
6.3%
6 26
 
6.3%
3 24
 
5.8%
8 21
 
5.1%
10 20
 
4.8%
1 18
 
4.4%
11 14
 
3.4%
9 14
 
3.4%
Other values (65) 176
42.6%
ValueCountFrequency (%)
0 10
 
2.4%
1 18
 
4.4%
2 28
6.8%
3 24
5.8%
4 26
6.3%
5 46
11.1%
6 26
6.3%
7 13
 
3.1%
8 21
5.1%
9 14
 
3.4%
ValueCountFrequency (%)
840 1
0.2%
380 1
0.2%
353 1
0.2%
243 1
0.2%
200 2
0.5%
194 2
0.5%
187 1
0.2%
184 1
0.2%
183 1
0.2%
126 1
0.2%

전화번호
Text

MISSING 

Distinct340
Distinct (%)93.4%
Missing49
Missing (%)11.9%
Memory size3.4 KiB
2024-03-15T10:55:25.167891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.052198
Min length11

Characters and Unicode

Total characters4387
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)88.5%

Sample

1st row043-648-4900
2nd row043-647-2280
3rd row043-646-5533
4th row043-644-2770
5th row043-645-1712
ValueCountFrequency (%)
043-652-8711 4
 
1.1%
043-653-9181 3
 
0.8%
043-653-9700 3
 
0.8%
043-648-8878 3
 
0.8%
043-648-2620 3
 
0.8%
043-642-2151 2
 
0.5%
043-643-7500 2
 
0.5%
043-647-8851 2
 
0.5%
043-651-1015 2
 
0.5%
043-652-3558 2
 
0.5%
Other values (330) 338
92.9%
2024-03-15T10:55:26.416147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 728
16.6%
4 665
15.2%
0 649
14.8%
3 533
12.1%
6 444
10.1%
5 322
7.3%
2 247
 
5.6%
1 244
 
5.6%
7 227
 
5.2%
8 205
 
4.7%
Other values (4) 123
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3653
83.3%
Dash Punctuation 728
 
16.6%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 665
18.2%
0 649
17.8%
3 533
14.6%
6 444
12.2%
5 322
8.8%
2 247
 
6.8%
1 244
 
6.7%
7 227
 
6.2%
8 205
 
5.6%
9 117
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
R 2
33.3%
S 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 728
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4381
99.9%
Latin 6
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 728
16.6%
4 665
15.2%
0 649
14.8%
3 533
12.2%
6 444
10.1%
5 322
7.3%
2 247
 
5.6%
1 244
 
5.6%
7 227
 
5.2%
8 205
 
4.7%
Latin
ValueCountFrequency (%)
A 2
33.3%
R 2
33.3%
S 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4387
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 728
16.6%
4 665
15.2%
0 649
14.8%
3 533
12.1%
6 444
10.1%
5 322
7.3%
2 247
 
5.6%
1 244
 
5.6%
7 227
 
5.2%
8 205
 
4.7%
Other values (4) 123
 
2.8%

단지
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
172 
제천왕암일반산업단지
111 
제천강저농공단지
23 
제천고암농공단지
23 
제천금성농공단지
21 
Other values (6)
63 

Length

Max length10
Median length8
Mean length6.8716707
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
41.6%
제천왕암일반산업단지 111
26.9%
제천강저농공단지 23
 
5.6%
제천고암농공단지 23
 
5.6%
제천금성농공단지 21
 
5.1%
제천양화농공단지 16
 
3.9%
제천일반산업단지 16
 
3.9%
제천제2산업단지 10
 
2.4%
제천제3산업단지 10
 
2.4%
제천송학농공단지 7
 
1.7%

Length

2024-03-15T10:55:26.849329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 172
41.6%
제천왕암일반산업단지 111
26.9%
제천강저농공단지 23
 
5.6%
제천고암농공단지 23
 
5.6%
제천금성농공단지 21
 
5.1%
제천양화농공단지 16
 
3.9%
제천일반산업단지 16
 
3.9%
제천제2산업단지 10
 
2.4%
제천제3산업단지 10
 
2.4%
제천송학농공단지 7
 
1.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-01-02
413 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-02
2nd row2024-01-02
3rd row2024-01-02
4th row2024-01-02
5th row2024-01-02

Common Values

ValueCountFrequency (%)
2024-01-02 413
100.0%

Length

2024-03-15T10:55:27.174581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:55:27.489614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-02 413
100.0%

Interactions

2024-03-15T10:55:13.279827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:55:12.732453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:55:13.521035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:55:13.043281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:55:27.683462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번근로자수단지
순번1.0000.1990.889
근로자수0.1991.0000.000
단지0.8890.0001.000
2024-03-15T10:55:27.929239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번근로자수단지
순번1.0000.3100.728
근로자수0.3101.0000.000
단지0.7280.0001.000

Missing values

2024-03-15T10:55:13.855069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:55:14.298755image/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.
2024-03-15T10:55:14.609348image/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

순번업종명업체명주소근로자수전화번호단지데이터기준일자
01산업용 그 외 비경화 고무제품 제조업 외 1 종(자)삼원기업충청북도 제천시 송학면 송학산로 1208043-648-4900<NA>2024-01-02
12일반 제재업 외 5 종(자)영창목재상사충청북도 제천시 단양로 3015 (대랑동) 외 1필지9043-647-2280<NA>2024-01-02
23전동기 및 발전기 제조업(주)건주충청북도 제천시 용두대로 209 (하소동) 외 4필지4043-646-5533<NA>2024-01-02
34연탄 및 기타 석탄 가공품 제조업(주)경동개발충청북도 제천시 내토로 912 (장락동, (주)경동개발)12043-644-2770<NA>2024-01-02
45육류 도축업(가금류 제외) 외 2 종(주)금보식품충청북도 제천시 청풍호로19안길 65 (산곡동) (총 4 필지) 외 3필지52043-645-1712<NA>2024-01-02
56육상 금속 골조 구조재 제조업 외 2 종(주)길교이앤씨충청북도 제천시 송학면 무도리 478-15번지4202-6121-6700<NA>2024-01-02
67전기회로 개폐, 보호장치 제조업 외 2 종(주)대경충청북도 제천시 송학주천로 79 (고암동)5043-642-6610<NA>2024-01-02
78기타 구조용 금속제품 제조업(주)대성유로폼종합건설건재충청북도 제천시 봉양읍 원박길 99-235043-644-1620<NA>2024-01-02
89아스팔트 콘크리트 및 혼합제품 제조업(주)대신아스콘충청북도 제천시 송학면 송학주천로9길 3 외 1필지4043-645-7551<NA>2024-01-02
910연탄 및 기타 석탄 가공품 제조업(주)동원산업충청북도 제천시 내토로 894 (장락동)9043-643-2535<NA>2024-01-02
순번업종명업체명주소근로자수전화번호단지데이터기준일자
403404치약, 비누 및 기타 세제 제조업(주)버블코리아충청북도 제천시 제3산단로 284 (왕암동)5031-534-7056제천제3산업단지2024-01-02
404405그 외 기타 의료용 기기 제조업(주)아인스메드충청북도 제천시 제3산단2로 78 (왕암동)20031-608-5241제천제3산업단지2024-01-02
405406접착제 및 젤라틴 제조업 외 1 종(주)엠티시충청북도 제천시 제3산단2로 60 (왕암동)20043-920-5555제천제3산업단지2024-01-02
406407그 외 자동차용 신품 부품 제조업(주)인팩충청북도 제천시 제3산단로 233(왕암동)200070-4127-4900제천제3산업단지2024-01-02
407408기타 곡물 가공품 제조업 외 2 종(주)지구인컴퍼니 제천공장충청북도 제천시 제3산단2로 34(왕암동)12602-3463-8283제천제3산업단지2024-01-02
408409건강기능식품 제조업주식회사 웰레스트<NA>6002-6949-0761제천제3산업단지2024-01-02
409410그 외 기타 분류 안된 금속 가공 제품 제조업주식회사 이에스시스템충청북도 제천시 제3산단로 252(왕암동)15043-644-3450제천제3산업단지2024-01-02
410411플라스틱 적층, 도포 및 기타 표면처리 제품 제조업 외 1 종주식회사 제이앤씨머트리얼즈충청북도 제천시 제3산단2로 24 (왕암동)100031-765-6714제천제3산업단지2024-01-02
411412자동차용 신품 조향장치 및 현가 장치 제조업 외 5 종주식회사 태은산업<NA>45<NA>제천제3산업단지2024-01-02
412413축전지 제조업한국메탈실리콘(주)충청북도 제천시 제3산단로 277(왕암동)15043-645-4164제천제3산업단지2024-01-02