Overview

Dataset statistics

Number of variables10
Number of observations703
Missing cells326
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory57.1 KiB
Average record size in memory83.2 B

Variable types

Numeric3
Categorical1
Text5
DateTime1

Dataset

Description강원특별자치도 춘천시에서 운영중인 업체별 단지명, 회사명, 사업자등록번호, 전화번호, 종업원수, 생산품, 공장대표주소, 업종명, 기준일자에 대한 자료
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15042339/fileData.do

Alerts

기준일자 has constant value ""Constant
연번 is highly overall correlated with 단지명High correlation
단지명 is highly overall correlated with 연번High correlation
사업자등록번호 has 52 (7.4%) missing valuesMissing
전화번호 has 270 (38.4%) missing valuesMissing
연번 has unique valuesUnique
종업원수 has 117 (16.6%) zerosZeros

Reproduction

Analysis started2024-03-14 23:54:00.650717
Analysis finished2024-03-14 23:54:06.679885
Duration6.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct703
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean352
Minimum1
Maximum703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-03-15T08:54:06.919203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36.1
Q1176.5
median352
Q3527.5
95-th percentile667.9
Maximum703
Range702
Interquartile range (IQR)351

Descriptive statistics

Standard deviation203.08291
Coefficient of variation (CV)0.57694007
Kurtosis-1.2
Mean352
Median Absolute Deviation (MAD)176
Skewness0
Sum247456
Variance41242.667
MonotonicityStrictly increasing
2024-03-15T08:54:07.403041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
2 1
 
0.1%
465 1
 
0.1%
466 1
 
0.1%
467 1
 
0.1%
468 1
 
0.1%
469 1
 
0.1%
470 1
 
0.1%
471 1
 
0.1%
472 1
 
0.1%
Other values (693) 693
98.6%
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 (%)
703 1
0.1%
702 1
0.1%
701 1
0.1%
700 1
0.1%
699 1
0.1%
698 1
0.1%
697 1
0.1%
696 1
0.1%
695 1
0.1%
694 1
0.1%

단지명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
춘천후평일반산업단지
366 
춘천퇴계농공단지
169 
퇴계제2농공단지
 
35
춘천거두농공단지
 
27
춘천창촌농공단지
 
26
Other values (8)
80 

Length

Max length17
Median length10
Mean length9.4110953
Min length8

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row남춘천일반산업단지
2nd row남춘천일반산업단지
3rd row남춘천일반산업단지
4th row남춘천일반산업단지
5th row남춘천일반산업단지

Common Values

ValueCountFrequency (%)
춘천후평일반산업단지 366
52.1%
춘천퇴계농공단지 169
24.0%
퇴계제2농공단지 35
 
5.0%
춘천거두농공단지 27
 
3.8%
춘천창촌농공단지 26
 
3.7%
춘천동춘천일반산업단지 25
 
3.6%
남춘천일반산업단지 22
 
3.1%
춘천전력IT문화복합일반산업단지 14
 
2.0%
춘천도시첨단문화산업단지 10
 
1.4%
춘천수동농공단지 6
 
0.9%
Other values (3) 3
 
0.4%

Length

2024-03-15T08:54:07.699092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
춘천후평일반산업단지 366
52.1%
춘천퇴계농공단지 169
24.0%
퇴계제2농공단지 35
 
5.0%
춘천거두농공단지 27
 
3.8%
춘천창촌농공단지 26
 
3.7%
춘천동춘천일반산업단지 25
 
3.6%
남춘천일반산업단지 22
 
3.1%
춘천전력it문화복합일반산업단지 14
 
2.0%
춘천도시첨단문화산업단지 10
 
1.4%
춘천수동농공단지 6
 
0.9%
Other values (3) 3
 
0.4%

회사명
Text

Distinct683
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-03-15T08:54:08.484437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length7.5462304
Min length2

Characters and Unicode

Total characters5305
Distinct characters450
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique665 ?
Unique (%)94.6%

Sample

1st row(주)리제론
2nd row(주)메디언스
3rd row(주)애드바이오텍
4th row(주)애드크로스
5th row(주)에스티알바이오텍
ValueCountFrequency (%)
주식회사 144
 
15.8%
농업회사법인 5
 
0.5%
합자회사 4
 
0.4%
제2공장 4
 
0.4%
춘천그린식품 3
 
0.3%
에프엠지 3
 
0.3%
주)레메디 3
 
0.3%
바디텍메드(주 3
 
0.3%
유한회사 3
 
0.3%
바이오 3
 
0.3%
Other values (707) 736
80.8%
2024-03-15T08:54:09.731883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 391
 
7.4%
( 233
 
4.4%
) 232
 
4.4%
사 223
 
4.2%
210
 
4.0%
식 199
 
3.8%
이 197
 
3.7%
회 195
 
3.7%
스 132
 
2.5%
에 83
 
1.6%
Other values (440) 3210
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4534
85.5%
Open Punctuation 233
 
4.4%
Close Punctuation 232
 
4.4%
Space Separator 210
 
4.0%
Uppercase Letter 45
 
0.8%
Decimal Number 23
 
0.4%
Lowercase Letter 16
 
0.3%
Other Punctuation 5
 
0.1%
Dash Punctuation 3
 
0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 391
 
8.6%
사 223
 
4.9%
식 199
 
4.4%
이 197
 
4.3%
회 195
 
4.3%
스 132
 
2.9%
에 83
 
1.8%
지 66
 
1.5%
디 60
 
1.3%
인 58
 
1.3%
Other values (398) 2930
64.6%
Uppercase Letter
ValueCountFrequency (%)
E 7
15.6%
O 6
13.3%
S 6
13.3%
A 5
11.1%
C 4
8.9%
B 4
8.9%
D 3
6.7%
N 2
 
4.4%
U 2
 
4.4%
H 1
 
2.2%
Other values (5) 5
11.1%
Lowercase Letter
ValueCountFrequency (%)
i 4
25.0%
g 2
12.5%
y 1
 
6.2%
u 1
 
6.2%
k 1
 
6.2%
d 1
 
6.2%
v 1
 
6.2%
t 1
 
6.2%
h 1
 
6.2%
n 1
 
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
2 9
39.1%
5 3
 
13.0%
3 3
 
13.0%
6 3
 
13.0%
1 3
 
13.0%
8 1
 
4.3%
4 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
· 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 233
100.0%
Close Punctuation
ValueCountFrequency (%)
) 232
100.0%
Space Separator
ValueCountFrequency (%)
210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4536
85.5%
Common 708
 
13.3%
Latin 61
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 391
 
8.6%
사 223
 
4.9%
식 199
 
4.4%
이 197
 
4.3%
회 195
 
4.3%
스 132
 
2.9%
에 83
 
1.8%
지 66
 
1.5%
디 60
 
1.3%
인 58
 
1.3%
Other values (399) 2932
64.6%
Latin
ValueCountFrequency (%)
E 7
 
11.5%
O 6
 
9.8%
S 6
 
9.8%
A 5
 
8.2%
i 4
 
6.6%
C 4
 
6.6%
B 4
 
6.6%
D 3
 
4.9%
N 2
 
3.3%
U 2
 
3.3%
Other values (17) 18
29.5%
Common
ValueCountFrequency (%)
( 233
32.9%
) 232
32.8%
210
29.7%
2 9
 
1.3%
& 4
 
0.6%
5 3
 
0.4%
3 3
 
0.4%
6 3
 
0.4%
- 3
 
0.4%
1 3
 
0.4%
Other values (4) 5
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4534
85.5%
ASCII 768
 
14.5%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 391
 
8.6%
사 223
 
4.9%
식 199
 
4.4%
이 197
 
4.3%
회 195
 
4.3%
스 132
 
2.9%
에 83
 
1.8%
지 66
 
1.5%
디 60
 
1.3%
인 58
 
1.3%
Other values (398) 2930
64.6%
ASCII
ValueCountFrequency (%)
( 233
30.3%
) 232
30.2%
210
27.3%
2 9
 
1.2%
E 7
 
0.9%
O 6
 
0.8%
S 6
 
0.8%
A 5
 
0.7%
& 4
 
0.5%
i 4
 
0.5%
Other values (30) 52
 
6.8%
None
ValueCountFrequency (%)
㈜ 2
66.7%
· 1
33.3%

사업자등록번호
Real number (ℝ)

MISSING 

Distinct609
Distinct (%)93.5%
Missing52
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean3.6960522 × 109
Minimum1.0202082 × 109
Maximum8.9987019 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-03-15T08:54:10.091273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0202082 × 109
5-th percentile1.2199088 × 109
Q12.2110487 × 109
median2.2181478 × 109
Q35.5291011 × 109
95-th percentile8.3692023 × 109
Maximum8.9987019 × 109
Range7.9784937 × 109
Interquartile range (IQR)3.3180524 × 109

Descriptive statistics

Standard deviation2.3831464 × 109
Coefficient of variation (CV)0.64478158
Kurtosis-0.64546916
Mean3.6960522 × 109
Median Absolute Deviation (MAD)7.9934678 × 108
Skewness0.91452238
Sum2.40613 × 1012
Variance5.6793867 × 1018
MonotonicityNot monotonic
2024-03-15T08:54:10.463582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2218141043 4
 
0.6%
2218121329 3
 
0.4%
2218209813 3
 
0.4%
2211080099 3
 
0.4%
2218119973 3
 
0.4%
2218100310 2
 
0.3%
8348800401 2
 
0.3%
2218142789 2
 
0.3%
8748701527 2
 
0.3%
8118701716 2
 
0.3%
Other values (599) 625
88.9%
(Missing) 52
 
7.4%
ValueCountFrequency (%)
1020208210 1
0.1%
1028123012 1
0.1%
1028141121 1
0.1%
1058681001 1
0.1%
1058745773 1
0.1%
1078132520 1
0.1%
1078171028 1
0.1%
1078635992 1
0.1%
1078807919 1
0.1%
1078830220 2
0.3%
ValueCountFrequency (%)
8998701899 1
0.1%
8981201826 1
0.1%
8970900974 1
0.1%
8964500815 1
0.1%
8961301619 1
0.1%
8948602256 1
0.1%
8932201612 1
0.1%
8900901536 1
0.1%
8863501064 1
0.1%
8847600031 1
0.1%

전화번호
Text

MISSING 

Distinct394
Distinct (%)91.0%
Missing270
Missing (%)38.4%
Memory size5.6 KiB
2024-03-15T08:54:11.512805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.04388
Min length11

Characters and Unicode

Total characters5215
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

Unique359 ?
Unique (%)82.9%

Sample

1st row033-2586-263
2nd row033-258-6258
3rd row033-258-6321
4th row033-258-6400
5th row033-818-9399
ValueCountFrequency (%)
033-243-1400 3
 
0.7%
033-255-5321 3
 
0.7%
02-420-4126 3
 
0.7%
033-245-8024 3
 
0.7%
033-250-1119 2
 
0.5%
033-254-4321 2
 
0.5%
033-255-9961 2
 
0.5%
033-815-2010 2
 
0.5%
033-242-8514 2
 
0.5%
033-261-7790 2
 
0.5%
Other values (384) 409
94.5%
2024-03-15T08:54:12.789238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1013
19.4%
- 866
16.6%
0 759
14.6%
2 646
12.4%
6 378
 
7.2%
5 351
 
6.7%
1 298
 
5.7%
4 292
 
5.6%
8 231
 
4.4%
7 213
 
4.1%
Other values (4) 168
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4343
83.3%
Dash Punctuation 866
 
16.6%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1013
23.3%
0 759
17.5%
2 646
14.9%
6 378
 
8.7%
5 351
 
8.1%
1 298
 
6.9%
4 292
 
6.7%
8 231
 
5.3%
7 213
 
4.9%
9 162
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
R 2
33.3%
S 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 866
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5209
99.9%
Latin 6
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1013
19.4%
- 866
16.6%
0 759
14.6%
2 646
12.4%
6 378
 
7.3%
5 351
 
6.7%
1 298
 
5.7%
4 292
 
5.6%
8 231
 
4.4%
7 213
 
4.1%
Latin
ValueCountFrequency (%)
A 2
33.3%
R 2
33.3%
S 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1013
19.4%
- 866
16.6%
0 759
14.6%
2 646
12.4%
6 378
 
7.2%
5 351
 
6.7%
1 298
 
5.7%
4 292
 
5.6%
8 231
 
4.4%
7 213
 
4.1%
Other values (4) 168
 
3.2%

종업원수
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.889047
Minimum0
Maximum290
Zeros117
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-03-15T08:54:13.100783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q39
95-th percentile50
Maximum290
Range290
Interquartile range (IQR)8

Descriptive statistics

Standard deviation29.776742
Coefficient of variation (CV)2.5045524
Kurtosis39.827247
Mean11.889047
Median Absolute Deviation (MAD)3
Skewness5.8023232
Sum8358
Variance886.65434
MonotonicityNot monotonic
2024-03-15T08:54:13.488860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 117
16.6%
1 110
15.6%
3 69
 
9.8%
2 50
 
7.1%
5 41
 
5.8%
6 37
 
5.3%
4 36
 
5.1%
7 27
 
3.8%
8 25
 
3.6%
9 18
 
2.6%
Other values (57) 173
24.6%
ValueCountFrequency (%)
0 117
16.6%
1 110
15.6%
2 50
7.1%
3 69
9.8%
4 36
 
5.1%
5 41
 
5.8%
6 37
 
5.3%
7 27
 
3.8%
8 25
 
3.6%
9 18
 
2.6%
ValueCountFrequency (%)
290 1
0.1%
280 1
0.1%
248 1
0.1%
217 2
0.3%
212 1
0.1%
198 1
0.1%
187 1
0.1%
165 1
0.1%
163 1
0.1%
130 1
0.1%

생산품
Text

Distinct588
Distinct (%)83.9%
Missing2
Missing (%)0.3%
Memory size5.6 KiB
2024-03-15T08:54:14.438763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length34
Mean length10.306705
Min length2

Characters and Unicode

Total characters7225
Distinct characters488
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique543 ?
Unique (%)77.5%

Sample

1st row화장품, 화장품원료, 의약품원료, 건강식품
2nd row폴리우레탄커버, 건강식품, 식품소재, 식품첨가물
3rd row동물의약품, 단미사료, 보조사료
4th row비제조업
5th row화장품, 천연물발효기능성소재
ValueCountFrequency (%)
및 71
 
4.6%
등 43
 
2.8%
컨설팅 24
 
1.6%
화장품 23
 
1.5%
디자인 19
 
1.2%
소프트웨어 17
 
1.1%
비제조업 14
 
0.9%
인테리어 13
 
0.8%
창고 12
 
0.8%
임대 11
 
0.7%
Other values (938) 1291
83.9%
2024-03-15T08:54:15.856171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
844
 
11.7%
, 400
 
5.5%
기 182
 
2.5%
제 134
 
1.9%
장 121
 
1.7%
품 110
 
1.5%
비 94
 
1.3%
전 89
 
1.2%
물 88
 
1.2%
자 86
 
1.2%
Other values (478) 5077
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5635
78.0%
Space Separator 844
 
11.7%
Other Punctuation 414
 
5.7%
Uppercase Letter 179
 
2.5%
Lowercase Letter 54
 
0.7%
Close Punctuation 40
 
0.6%
Open Punctuation 40
 
0.6%
Decimal Number 11
 
0.2%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 182
 
3.2%
제 134
 
2.4%
장 121
 
2.1%
품 110
 
2.0%
비 94
 
1.7%
전 89
 
1.6%
물 88
 
1.6%
자 86
 
1.5%
스 84
 
1.5%
조 83
 
1.5%
Other values (427) 4564
81.0%
Uppercase Letter
ValueCountFrequency (%)
C 27
15.1%
D 22
12.3%
E 19
10.6%
L 17
9.5%
S 13
 
7.3%
T 12
 
6.7%
P 12
 
6.7%
V 10
 
5.6%
M 7
 
3.9%
G 7
 
3.9%
Other values (11) 33
18.4%
Lowercase Letter
ValueCountFrequency (%)
e 9
16.7%
r 8
14.8%
p 5
9.3%
t 5
9.3%
s 5
9.3%
a 4
7.4%
i 4
7.4%
l 3
 
5.6%
o 2
 
3.7%
d 2
 
3.7%
Other values (6) 7
13.0%
Decimal Number
ValueCountFrequency (%)
4 3
27.3%
3 2
18.2%
9 2
18.2%
0 2
18.2%
1 1
 
9.1%
5 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 400
96.6%
. 8
 
1.9%
/ 4
 
1.0%
& 2
 
0.5%
Space Separator
ValueCountFrequency (%)
844
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5635
78.0%
Common 1357
 
18.8%
Latin 233
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 182
 
3.2%
제 134
 
2.4%
장 121
 
2.1%
품 110
 
2.0%
비 94
 
1.7%
전 89
 
1.6%
물 88
 
1.6%
자 86
 
1.5%
스 84
 
1.5%
조 83
 
1.5%
Other values (427) 4564
81.0%
Latin
ValueCountFrequency (%)
C 27
 
11.6%
D 22
 
9.4%
E 19
 
8.2%
L 17
 
7.3%
S 13
 
5.6%
T 12
 
5.2%
P 12
 
5.2%
V 10
 
4.3%
e 9
 
3.9%
r 8
 
3.4%
Other values (27) 84
36.1%
Common
ValueCountFrequency (%)
844
62.2%
, 400
29.5%
) 40
 
2.9%
( 40
 
2.9%
. 8
 
0.6%
- 8
 
0.6%
/ 4
 
0.3%
4 3
 
0.2%
3 2
 
0.1%
9 2
 
0.1%
Other values (4) 6
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5635
78.0%
ASCII 1590
 
22.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
844
53.1%
, 400
25.2%
) 40
 
2.5%
( 40
 
2.5%
C 27
 
1.7%
D 22
 
1.4%
E 19
 
1.2%
L 17
 
1.1%
S 13
 
0.8%
T 12
 
0.8%
Other values (41) 156
 
9.8%
Hangul
ValueCountFrequency (%)
기 182
 
3.2%
제 134
 
2.4%
장 121
 
2.1%
품 110
 
2.0%
비 94
 
1.7%
전 89
 
1.6%
물 88
 
1.6%
자 86
 
1.5%
스 84
 
1.5%
조 83
 
1.5%
Other values (427) 4564
81.0%

공장대표주소
Text

Distinct602
Distinct (%)85.9%
Missing2
Missing (%)0.3%
Memory size5.6 KiB
2024-03-15T08:54:16.871916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length50
Mean length28.713267
Min length19

Characters and Unicode

Total characters20128
Distinct characters195
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique545 ?
Unique (%)77.7%

Sample

1st row강원특별자치도 춘천시 남산면 광판리 산 143-2
2nd row강원특별자치도 춘천시 동산면 군자리 1386
3rd row강원특별자치도 춘천시 남산면 광판리 산 143
4th row강원특별자치도 춘천시 남산면 광판리 143-2 산업 4-1
5th row강원특별자치도 춘천시 남산면 광판리 산 143 산업시설 5-2
ValueCountFrequency (%)
강원특별자치도 700
17.4%
춘천시 700
17.4%
후평동 366
 
9.1%
1동 286
 
7.1%
퇴계동 203
 
5.0%
558-1 202
 
5.0%
623-4 76
 
1.9%
남산면 56
 
1.4%
4층 51
 
1.3%
3층 50
 
1.2%
Other values (626) 1337
33.2%
2024-03-15T08:54:18.465882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3337
 
16.6%
1 976
 
4.8%
동 955
 
4.7%
5 732
 
3.6%
천 719
 
3.6%
춘 719
 
3.6%
자 713
 
3.5%
원 713
 
3.5%
강 706
 
3.5%
시 706
 
3.5%
Other values (185) 9852
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11557
57.4%
Decimal Number 4511
 
22.4%
Space Separator 3337
 
16.6%
Dash Punctuation 612
 
3.0%
Open Punctuation 45
 
0.2%
Close Punctuation 45
 
0.2%
Uppercase Letter 10
 
< 0.1%
Other Punctuation 7
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 955
 
8.3%
천 719
 
6.2%
춘 719
 
6.2%
자 713
 
6.2%
원 713
 
6.2%
강 706
 
6.1%
시 706
 
6.1%
도 702
 
6.1%
치 700
 
6.1%
별 700
 
6.1%
Other values (160) 4224
36.5%
Decimal Number
ValueCountFrequency (%)
1 976
21.6%
5 732
16.2%
8 539
11.9%
2 436
9.7%
3 432
9.6%
6 400
8.9%
4 377
 
8.4%
0 305
 
6.8%
7 185
 
4.1%
9 129
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 4
40.0%
B 2
20.0%
E 2
20.0%
I 1
 
10.0%
D 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
/ 2
28.6%
& 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 44
97.8%
[ 1
 
2.2%
Close Punctuation
ValueCountFrequency (%)
) 44
97.8%
] 1
 
2.2%
Space Separator
ValueCountFrequency (%)
3337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 612
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11557
57.4%
Common 8561
42.5%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 955
 
8.3%
천 719
 
6.2%
춘 719
 
6.2%
자 713
 
6.2%
원 713
 
6.2%
강 706
 
6.1%
시 706
 
6.1%
도 702
 
6.1%
치 700
 
6.1%
별 700
 
6.1%
Other values (160) 4224
36.5%
Common
ValueCountFrequency (%)
3337
39.0%
1 976
 
11.4%
5 732
 
8.6%
- 612
 
7.1%
8 539
 
6.3%
2 436
 
5.1%
3 432
 
5.0%
6 400
 
4.7%
4 377
 
4.4%
0 305
 
3.6%
Other values (10) 415
 
4.8%
Latin
ValueCountFrequency (%)
A 4
40.0%
B 2
20.0%
E 2
20.0%
I 1
 
10.0%
D 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11557
57.4%
ASCII 8571
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3337
38.9%
1 976
 
11.4%
5 732
 
8.5%
- 612
 
7.1%
8 539
 
6.3%
2 436
 
5.1%
3 432
 
5.0%
6 400
 
4.7%
4 377
 
4.4%
0 305
 
3.6%
Other values (15) 425
 
5.0%
Hangul
ValueCountFrequency (%)
동 955
 
8.3%
천 719
 
6.2%
춘 719
 
6.2%
자 713
 
6.2%
원 713
 
6.2%
강 706
 
6.1%
시 706
 
6.1%
도 702
 
6.1%
치 700
 
6.1%
별 700
 
6.1%
Other values (160) 4224
36.5%

업종명
Text

Distinct357
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-03-15T08:54:19.910578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length15.561878
Min length3

Characters and Unicode

Total characters10940
Distinct characters272
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

Unique248 ?
Unique (%)35.3%

Sample

1st row화장품 제조업 외 2 종
2nd row건강기능식품 제조업 외 1 종
3rd row단미 사료 및 기타 사료 제조업
4th row일반 창고업
5th row화장품 제조업 외 1 종
ValueCountFrequency (%)
제조업 391
 
11.1%
및 310
 
8.8%
외 308
 
8.8%
종 261
 
7.4%
기타 153
 
4.4%
1 120
 
3.4%
그 47
 
1.3%
2 45
 
1.3%
서비스업 44
 
1.3%
경영 37
 
1.1%
Other values (407) 1801
51.2%
2024-03-15T08:54:21.806837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2814
25.7%
업 711
 
6.5%
제 581
 
5.3%
조 454
 
4.1%
외 315
 
2.9%
및 310
 
2.8%
기 284
 
2.6%
종 261
 
2.4%
품 170
 
1.6%
타 153
 
1.4%
Other values (262) 4887
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7785
71.2%
Space Separator 2814
 
25.7%
Decimal Number 275
 
2.5%
Other Punctuation 54
 
0.5%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 711
 
9.1%
제 581
 
7.5%
조 454
 
5.8%
외 315
 
4.0%
및 310
 
4.0%
기 284
 
3.6%
종 261
 
3.4%
품 170
 
2.2%
타 153
 
2.0%
용 128
 
1.6%
Other values (247) 4418
56.8%
Decimal Number
ValueCountFrequency (%)
1 136
49.5%
2 46
 
16.7%
3 34
 
12.4%
4 24
 
8.7%
5 12
 
4.4%
6 10
 
3.6%
9 5
 
1.8%
7 3
 
1.1%
0 3
 
1.1%
8 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 52
96.3%
. 2
 
3.7%
Space Separator
ValueCountFrequency (%)
2814
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7785
71.2%
Common 3155
28.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 711
 
9.1%
제 581
 
7.5%
조 454
 
5.8%
외 315
 
4.0%
및 310
 
4.0%
기 284
 
3.6%
종 261
 
3.4%
품 170
 
2.2%
타 153
 
2.0%
용 128
 
1.6%
Other values (247) 4418
56.8%
Common
ValueCountFrequency (%)
2814
89.2%
1 136
 
4.3%
, 52
 
1.6%
2 46
 
1.5%
3 34
 
1.1%
4 24
 
0.8%
5 12
 
0.4%
6 10
 
0.3%
( 6
 
0.2%
) 6
 
0.2%
Other values (5) 15
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7779
71.1%
ASCII 3155
28.8%
Compat Jamo 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2814
89.2%
1 136
 
4.3%
, 52
 
1.6%
2 46
 
1.5%
3 34
 
1.1%
4 24
 
0.8%
5 12
 
0.4%
6 10
 
0.3%
( 6
 
0.2%
) 6
 
0.2%
Other values (5) 15
 
0.5%
Hangul
ValueCountFrequency (%)
업 711
 
9.1%
제 581
 
7.5%
조 454
 
5.8%
외 315
 
4.0%
및 310
 
4.0%
기 284
 
3.7%
종 261
 
3.4%
품 170
 
2.2%
타 153
 
2.0%
용 128
 
1.6%
Other values (246) 4412
56.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum2024-01-29 00:00:00
Maximum2024-01-29 00:00:00
2024-03-15T08:54:22.155776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:54:22.465603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T08:54:04.288658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:54:02.128309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:54:03.057614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:54:04.685423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:54:02.458632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:54:03.480927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:54:04.963556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:54:02.774458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:54:03.944195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:54:22.677812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단지명사업자등록번호종업원수
연번1.0000.8470.3800.437
단지명0.8471.0000.2500.664
사업자등록번호0.3800.2501.0000.000
종업원수0.4370.6640.0001.000
2024-03-15T08:54:22.940715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업자등록번호종업원수단지명
연번1.0000.237-0.3810.566
사업자등록번호0.2371.000-0.2760.104
종업원수-0.381-0.2761.0000.347
단지명0.5660.1040.3471.000

Missing values

2024-03-15T08:54:05.351047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:54:06.134436image/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.
2024-03-15T08:54:06.495224image/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

연번단지명회사명사업자등록번호전화번호종업원수생산품공장대표주소업종명기준일자
01남춘천일반산업단지(주)리제론2218116748033-2586-2637화장품, 화장품원료, 의약품원료, 건강식품강원특별자치도 춘천시 남산면 광판리 산 143-2화장품 제조업 외 2 종2024-01-29
12남춘천일반산업단지(주)메디언스2218142493033-258-625813폴리우레탄커버, 건강식품, 식품소재, 식품첨가물강원특별자치도 춘천시 동산면 군자리 1386건강기능식품 제조업 외 1 종2024-01-29
23남춘천일반산업단지(주)애드바이오텍2158193416<NA>0동물의약품, 단미사료, 보조사료강원특별자치도 춘천시 남산면 광판리 산 143단미 사료 및 기타 사료 제조업2024-01-29
34남춘천일반산업단지(주)애드크로스2938700637<NA>0비제조업강원특별자치도 춘천시 남산면 광판리 143-2 산업 4-1일반 창고업2024-01-29
45남춘천일반산업단지(주)에스티알바이오텍2218115996033-258-632132화장품, 천연물발효기능성소재강원특별자치도 춘천시 남산면 광판리 산 143 산업시설 5-2화장품 제조업 외 1 종2024-01-29
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