Overview

Dataset statistics

Number of variables11
Number of observations296
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.9 KiB
Average record size in memory89.4 B

Variable types

Categorical4
Text6
Numeric1

Dataset

Description강원도 원주시에 입주한 업체들의 대한 데이터로 사업체명, 전화번호, 업종구분, 도로명주소와 지번주소등 다양한 정보를 제공합니다.
Author강원도 원주시
URLhttps://www.data.go.kr/data/3044401/fileData.do

Alerts

관리기관 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
종업원수 has 4 (1.4%) zerosZeros

Reproduction

Analysis started2023-12-12 23:50:13.413716
Analysis finished2023-12-12 23:50:14.265604
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단지명
Categorical

Distinct7
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
원주태장농공단지
131 
원주동화농공단지
46 
원주문막농공단지
41 
원주문막지방산업단지
26 
원주우산일반산업단지
23 
Other values (2)
29 

Length

Max length13
Median length8
Mean length8.5878378
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원주태장농공단지
2nd row원주문막지방산업단지
3rd row원주동화농공단지
4th row원주태장농공단지
5th row원주태장농공단지

Common Values

ValueCountFrequency (%)
원주태장농공단지 131
44.3%
원주동화농공단지 46
 
15.5%
원주문막농공단지 41
 
13.9%
원주문막지방산업단지 26
 
8.8%
원주우산일반산업단지 23
 
7.8%
원주동화일반산업단지 23
 
7.8%
원주자동차부품일반산업단지 6
 
2.0%

Length

2023-12-13T08:50:14.337986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:50:14.488706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원주태장농공단지 131
44.3%
원주동화농공단지 46
 
15.5%
원주문막농공단지 41
 
13.9%
원주문막지방산업단지 26
 
8.8%
원주우산일반산업단지 23
 
7.8%
원주동화일반산업단지 23
 
7.8%
원주자동차부품일반산업단지 6
 
2.0%
Distinct295
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T08:50:14.761216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.5439189
Min length2

Characters and Unicode

Total characters2233
Distinct characters279
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

Unique294 ?
Unique (%)99.3%

Sample

1st row(주)이지메디텍
2nd row(주)8당
3rd row(주)가인들세정
4th row(주)가포생활건강
5th row(주)갈렙
ValueCountFrequency (%)
주식회사 21
 
6.3%
제2공장 6
 
1.8%
한국유니온제약(주 3
 
0.9%
주)만도 2
 
0.6%
보성엔티 2
 
0.6%
주)뉴보텍 2
 
0.6%
주)태진 2
 
0.6%
주)동일수지 2
 
0.6%
원주공장 2
 
0.6%
사회복지법인 1
 
0.3%
Other values (289) 289
87.0%
2023-12-13T08:50:15.495238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
255
 
11.4%
( 227
 
10.2%
) 227
 
10.2%
68
 
3.0%
54
 
2.4%
37
 
1.7%
35
 
1.6%
34
 
1.5%
32
 
1.4%
32
 
1.4%
Other values (269) 1232
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1717
76.9%
Open Punctuation 227
 
10.2%
Close Punctuation 227
 
10.2%
Space Separator 37
 
1.7%
Decimal Number 13
 
0.6%
Uppercase Letter 9
 
0.4%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
255
 
14.9%
68
 
4.0%
54
 
3.1%
35
 
2.0%
34
 
2.0%
32
 
1.9%
32
 
1.9%
31
 
1.8%
30
 
1.7%
28
 
1.6%
Other values (253) 1118
65.1%
Uppercase Letter
ValueCountFrequency (%)
P 2
22.2%
G 2
22.2%
N 2
22.2%
C 1
11.1%
E 1
11.1%
M 1
11.1%
Decimal Number
ValueCountFrequency (%)
2 7
53.8%
3 2
 
15.4%
1 2
 
15.4%
5 1
 
7.7%
8 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 227
100.0%
Close Punctuation
ValueCountFrequency (%)
) 227
100.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1717
76.9%
Common 507
 
22.7%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
255
 
14.9%
68
 
4.0%
54
 
3.1%
35
 
2.0%
34
 
2.0%
32
 
1.9%
32
 
1.9%
31
 
1.8%
30
 
1.7%
28
 
1.6%
Other values (253) 1118
65.1%
Common
ValueCountFrequency (%)
( 227
44.8%
) 227
44.8%
37
 
7.3%
2 7
 
1.4%
. 2
 
0.4%
3 2
 
0.4%
1 2
 
0.4%
- 1
 
0.2%
5 1
 
0.2%
8 1
 
0.2%
Latin
ValueCountFrequency (%)
P 2
22.2%
G 2
22.2%
N 2
22.2%
C 1
11.1%
E 1
11.1%
M 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1717
76.9%
ASCII 516
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
255
 
14.9%
68
 
4.0%
54
 
3.1%
35
 
2.0%
34
 
2.0%
32
 
1.9%
32
 
1.9%
31
 
1.8%
30
 
1.7%
28
 
1.6%
Other values (253) 1118
65.1%
ASCII
ValueCountFrequency (%)
( 227
44.0%
) 227
44.0%
37
 
7.2%
2 7
 
1.4%
. 2
 
0.4%
P 2
 
0.4%
G 2
 
0.4%
N 2
 
0.4%
3 2
 
0.4%
1 2
 
0.4%
Other values (6) 6
 
1.2%
Distinct274
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T08:50:15.820004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.003378
Min length9

Characters and Unicode

Total characters3553
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

Unique264 ?
Unique (%)89.2%

Sample

1st row033-000-0000
2nd row033-901-8181
3rd row033-900-2037
4th row033-747-8267
5th row033-748-0433
ValueCountFrequency (%)
033-000-0000 12
 
4.1%
033-731-2804 3
 
1.0%
033-734-6001 3
 
1.0%
033-732-8155 2
 
0.7%
033-732-2632 2
 
0.7%
033-730-6012 2
 
0.7%
033-764-8234 2
 
0.7%
033-900-2037 2
 
0.7%
033-747-6116 2
 
0.7%
033-734-7200 2
 
0.7%
Other values (264) 264
89.2%
2023-12-13T08:50:16.241719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 798
22.5%
0 611
17.2%
- 590
16.6%
7 401
11.3%
4 261
 
7.3%
1 188
 
5.3%
2 181
 
5.1%
8 150
 
4.2%
6 139
 
3.9%
5 131
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2963
83.4%
Dash Punctuation 590
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 798
26.9%
0 611
20.6%
7 401
13.5%
4 261
 
8.8%
1 188
 
6.3%
2 181
 
6.1%
8 150
 
5.1%
6 139
 
4.7%
5 131
 
4.4%
9 103
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 590
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3553
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 798
22.5%
0 611
17.2%
- 590
16.6%
7 401
11.3%
4 261
 
7.3%
1 188
 
5.3%
2 181
 
5.1%
8 150
 
4.2%
6 139
 
3.9%
5 131
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3553
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 798
22.5%
0 611
17.2%
- 590
16.6%
7 401
11.3%
4 261
 
7.3%
1 188
 
5.3%
2 181
 
5.1%
8 150
 
4.2%
6 139
 
3.9%
5 131
 
3.7%

종업원수
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.510135
Minimum0
Maximum1217
Zeros4
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T08:50:16.395982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.75
Q14
median10
Q330
95-th percentile102.25
Maximum1217
Range1217
Interquartile range (IQR)26

Descriptive statistics

Standard deviation98.657187
Coefficient of variation (CV)2.9440999
Kurtosis91.061547
Mean33.510135
Median Absolute Deviation (MAD)7
Skewness8.69755
Sum9919
Variance9733.2406
MonotonicityNot monotonic
2023-12-13T08:50:16.524403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 26
 
8.8%
3 23
 
7.8%
2 21
 
7.1%
6 20
 
6.8%
4 18
 
6.1%
9 11
 
3.7%
1 11
 
3.7%
10 9
 
3.0%
11 9
 
3.0%
16 8
 
2.7%
Other values (63) 140
47.3%
ValueCountFrequency (%)
0 4
 
1.4%
1 11
3.7%
2 21
7.1%
3 23
7.8%
4 18
6.1%
5 26
8.8%
6 20
6.8%
7 6
 
2.0%
8 6
 
2.0%
9 11
3.7%
ValueCountFrequency (%)
1217 1
0.3%
907 1
0.3%
335 1
0.3%
309 1
0.3%
297 1
0.3%
296 1
0.3%
293 1
0.3%
271 1
0.3%
191 1
0.3%
148 1
0.3%
Distinct279
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T08:50:16.726939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length36
Mean length12.273649
Min length1

Characters and Unicode

Total characters3633
Distinct characters414
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique267 ?
Unique (%)90.2%

Sample

1st row렌즈소독기
2nd row보건용마스크
3rd row마스크
4th row사지압박순환장치+전기마사지기
5th row의료용 세정기
ValueCountFrequency (%)
13
 
3.0%
11
 
2.5%
자동차부품 4
 
0.9%
조향장치 4
 
0.9%
오일필터 4
 
0.9%
자동차조향장치 3
 
0.7%
led 3
 
0.7%
의료용 3
 
0.7%
부품 3
 
0.7%
3
 
0.7%
Other values (366) 381
88.2%
2023-12-13T08:50:17.101228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 291
 
8.0%
156
 
4.3%
137
 
3.8%
82
 
2.3%
74
 
2.0%
72
 
2.0%
70
 
1.9%
64
 
1.8%
61
 
1.7%
60
 
1.7%
Other values (404) 2566
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2914
80.2%
Math Symbol 291
 
8.0%
Uppercase Letter 176
 
4.8%
Space Separator 137
 
3.8%
Lowercase Letter 77
 
2.1%
Close Punctuation 14
 
0.4%
Open Punctuation 14
 
0.4%
Other Punctuation 5
 
0.1%
Decimal Number 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
156
 
5.4%
82
 
2.8%
74
 
2.5%
72
 
2.5%
70
 
2.4%
64
 
2.2%
61
 
2.1%
60
 
2.1%
58
 
2.0%
46
 
1.6%
Other values (349) 2171
74.5%
Uppercase Letter
ValueCountFrequency (%)
E 29
16.5%
D 26
14.8%
L 24
13.6%
C 17
9.7%
P 13
7.4%
V 10
 
5.7%
A 9
 
5.1%
T 9
 
5.1%
R 6
 
3.4%
I 5
 
2.8%
Other values (12) 28
15.9%
Lowercase Letter
ValueCountFrequency (%)
a 8
 
10.4%
s 8
 
10.4%
e 6
 
7.8%
t 6
 
7.8%
l 6
 
7.8%
i 5
 
6.5%
c 5
 
6.5%
g 4
 
5.2%
v 4
 
5.2%
r 4
 
5.2%
Other values (11) 21
27.3%
Other Punctuation
ValueCountFrequency (%)
/ 2
40.0%
. 1
20.0%
' 1
20.0%
& 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 1
25.0%
7 1
25.0%
Math Symbol
ValueCountFrequency (%)
+ 291
100.0%
Space Separator
ValueCountFrequency (%)
137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2914
80.2%
Common 466
 
12.8%
Latin 253
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
156
 
5.4%
82
 
2.8%
74
 
2.5%
72
 
2.5%
70
 
2.4%
64
 
2.2%
61
 
2.1%
60
 
2.1%
58
 
2.0%
46
 
1.6%
Other values (349) 2171
74.5%
Latin
ValueCountFrequency (%)
E 29
 
11.5%
D 26
 
10.3%
L 24
 
9.5%
C 17
 
6.7%
P 13
 
5.1%
V 10
 
4.0%
A 9
 
3.6%
T 9
 
3.6%
a 8
 
3.2%
s 8
 
3.2%
Other values (33) 100
39.5%
Common
ValueCountFrequency (%)
+ 291
62.4%
137
29.4%
) 14
 
3.0%
( 14
 
3.0%
2 2
 
0.4%
/ 2
 
0.4%
. 1
 
0.2%
- 1
 
0.2%
' 1
 
0.2%
1 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2914
80.2%
ASCII 719
 
19.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 291
40.5%
137
19.1%
E 29
 
4.0%
D 26
 
3.6%
L 24
 
3.3%
C 17
 
2.4%
) 14
 
1.9%
( 14
 
1.9%
P 13
 
1.8%
V 10
 
1.4%
Other values (45) 144
20.0%
Hangul
ValueCountFrequency (%)
156
 
5.4%
82
 
2.8%
74
 
2.5%
72
 
2.5%
70
 
2.4%
64
 
2.2%
61
 
2.1%
60
 
2.1%
58
 
2.0%
46
 
1.6%
Other values (349) 2171
74.5%
Distinct256
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T08:50:17.325616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length61
Mean length28.753378
Min length19

Characters and Unicode

Total characters8511
Distinct characters148
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique232 ?
Unique (%)78.4%

Sample

1st row강원도 원주시 태장공단길 42-10, 1동 201호 (태장동, 원주의료기기센터)
2nd row강원도 원주시 문막읍 문막공단길 188
3rd row강원도 원주시 문막읍 동화공단로 107-1, F동
4th row강원도 원주시 태장공단길 42-10, 1동 114, 125호 (태장동, 원주의료기기센터)
5th row강원도 원주시 태장공단길 42-10 (태장동) 원주의료기기산업기술단지 3동 202호, 203호, 1동 121호
ValueCountFrequency (%)
강원도 296
17.0%
원주시 296
17.0%
문막읍 147
 
8.4%
태장공단길 128
 
7.3%
태장동 94
 
5.4%
동화공단로 68
 
3.9%
문막공단길 67
 
3.8%
42-10 24
 
1.4%
51 20
 
1.1%
원주창업보육센터 18
 
1.0%
Other values (304) 586
33.6%
2023-12-13T08:50:17.665988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1450
 
17.0%
638
 
7.5%
360
 
4.2%
1 320
 
3.8%
299
 
3.5%
299
 
3.5%
299
 
3.5%
297
 
3.5%
295
 
3.5%
287
 
3.4%
Other values (138) 3967
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5039
59.2%
Space Separator 1450
 
17.0%
Decimal Number 1222
 
14.4%
Close Punctuation 208
 
2.4%
Open Punctuation 208
 
2.4%
Other Punctuation 183
 
2.2%
Dash Punctuation 148
 
1.7%
Uppercase Letter 40
 
0.5%
Other Symbol 12
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
638
 
12.7%
360
 
7.1%
299
 
5.9%
299
 
5.9%
299
 
5.9%
297
 
5.9%
295
 
5.9%
287
 
5.7%
283
 
5.6%
260
 
5.2%
Other values (113) 1722
34.2%
Decimal Number
ValueCountFrequency (%)
1 320
26.2%
2 206
16.9%
0 165
13.5%
4 138
11.3%
5 112
 
9.2%
3 81
 
6.6%
7 62
 
5.1%
8 61
 
5.0%
6 45
 
3.7%
9 32
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
A 14
35.0%
C 7
17.5%
D 6
15.0%
B 6
15.0%
L 2
 
5.0%
K 2
 
5.0%
F 2
 
5.0%
J 1
 
2.5%
Space Separator
ValueCountFrequency (%)
1450
100.0%
Close Punctuation
ValueCountFrequency (%)
) 208
100.0%
Open Punctuation
ValueCountFrequency (%)
( 208
100.0%
Other Punctuation
ValueCountFrequency (%)
, 183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%
Other Symbol
ValueCountFrequency (%)
12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5051
59.3%
Common 3420
40.2%
Latin 40
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
638
 
12.6%
360
 
7.1%
299
 
5.9%
299
 
5.9%
299
 
5.9%
297
 
5.9%
295
 
5.8%
287
 
5.7%
283
 
5.6%
260
 
5.1%
Other values (114) 1734
34.3%
Common
ValueCountFrequency (%)
1450
42.4%
1 320
 
9.4%
) 208
 
6.1%
( 208
 
6.1%
2 206
 
6.0%
, 183
 
5.4%
0 165
 
4.8%
- 148
 
4.3%
4 138
 
4.0%
5 112
 
3.3%
Other values (6) 282
 
8.2%
Latin
ValueCountFrequency (%)
A 14
35.0%
C 7
17.5%
D 6
15.0%
B 6
15.0%
L 2
 
5.0%
K 2
 
5.0%
F 2
 
5.0%
J 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5039
59.2%
ASCII 3460
40.7%
None 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1450
41.9%
1 320
 
9.2%
) 208
 
6.0%
( 208
 
6.0%
2 206
 
6.0%
, 183
 
5.3%
0 165
 
4.8%
- 148
 
4.3%
4 138
 
4.0%
5 112
 
3.2%
Other values (14) 322
 
9.3%
Hangul
ValueCountFrequency (%)
638
 
12.7%
360
 
7.1%
299
 
5.9%
299
 
5.9%
299
 
5.9%
297
 
5.9%
295
 
5.9%
287
 
5.7%
283
 
5.6%
260
 
5.2%
Other values (113) 1722
34.2%
None
ValueCountFrequency (%)
12
100.0%
Distinct154
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T08:50:17.856485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length20.054054
Min length17

Characters and Unicode

Total characters5936
Distinct characters53
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)35.5%

Sample

1st row강원도 원주시 태장동 1720-26
2nd row강원도 원주시 문막읍 반계리 2231
3rd row강원도 원주시 문막읍 동화리 1667-1
4th row강원도 원주시 태장동 1720-26
5th row강원도 원주시 태장동 1720-26
ValueCountFrequency (%)
강원도 296
22.0%
원주시 296
22.0%
문막읍 142
10.6%
태장동 131
9.7%
동화리 72
 
5.4%
반계리 61
 
4.5%
1720-26 24
 
1.8%
우산동 23
 
1.7%
1720-38 19
 
1.4%
1720-60 17
 
1.3%
Other values (162) 263
19.6%
2023-12-13T08:50:18.156642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1048
17.7%
593
 
10.0%
1 317
 
5.3%
297
 
5.0%
296
 
5.0%
296
 
5.0%
296
 
5.0%
2 276
 
4.6%
- 257
 
4.3%
228
 
3.8%
Other values (43) 2032
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3152
53.1%
Decimal Number 1473
24.8%
Space Separator 1048
 
17.7%
Dash Punctuation 257
 
4.3%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
593
18.8%
297
9.4%
296
9.4%
296
9.4%
296
9.4%
228
 
7.2%
148
 
4.7%
148
 
4.7%
142
 
4.5%
133
 
4.2%
Other values (27) 575
18.2%
Decimal Number
ValueCountFrequency (%)
1 317
21.5%
2 276
18.7%
0 187
12.7%
7 179
12.2%
6 160
10.9%
3 115
 
7.8%
5 82
 
5.6%
4 78
 
5.3%
8 51
 
3.5%
9 28
 
1.9%
Space Separator
ValueCountFrequency (%)
1048
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 257
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3153
53.1%
Common 2783
46.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
593
18.8%
297
9.4%
296
9.4%
296
9.4%
296
9.4%
228
 
7.2%
148
 
4.7%
148
 
4.7%
142
 
4.5%
133
 
4.2%
Other values (28) 576
18.3%
Common
ValueCountFrequency (%)
1048
37.7%
1 317
 
11.4%
2 276
 
9.9%
- 257
 
9.2%
0 187
 
6.7%
7 179
 
6.4%
6 160
 
5.7%
3 115
 
4.1%
5 82
 
2.9%
4 78
 
2.8%
Other values (5) 84
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3152
53.1%
ASCII 2783
46.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1048
37.7%
1 317
 
11.4%
2 276
 
9.9%
- 257
 
9.2%
0 187
 
6.7%
7 179
 
6.4%
6 160
 
5.7%
3 115
 
4.1%
5 82
 
2.9%
4 78
 
2.8%
Other values (5) 84
 
3.0%
Hangul
ValueCountFrequency (%)
593
18.8%
297
9.4%
296
9.4%
296
9.4%
296
9.4%
228
 
7.2%
148
 
4.7%
148
 
4.7%
142
 
4.5%
133
 
4.2%
Other values (27) 575
18.2%
None
ValueCountFrequency (%)
1
100.0%
Distinct178
Distinct (%)60.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T08:50:18.424270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length18.962838
Min length6

Characters and Unicode

Total characters5613
Distinct characters215
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)46.3%

Sample

1st row그 외 기타 의료용 기기 제조업
2nd row기타 직물제품 제조업
3rd row그 외 기타 의료용 기기 제조업
4th row그 외 기타 의료용 기기 제조업 외 1 종
5th row그 외 기타 의료용 기기 제조업
ValueCountFrequency (%)
제조업 287
 
14.9%
248
 
12.9%
168
 
8.7%
112
 
5.8%
기타 88
 
4.6%
80
 
4.2%
기기 56
 
2.9%
1 55
 
2.9%
의료용 46
 
2.4%
신품 30
 
1.6%
Other values (220) 752
39.1%
2023-12-13T08:50:18.812245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1626
29.0%
361
 
6.4%
338
 
6.0%
300
 
5.3%
279
 
5.0%
253
 
4.5%
171
 
3.0%
144
 
2.6%
133
 
2.4%
112
 
2.0%
Other values (205) 1896
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3783
67.4%
Space Separator 1626
29.0%
Decimal Number 180
 
3.2%
Other Punctuation 22
 
0.4%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
361
 
9.5%
338
 
8.9%
300
 
7.9%
279
 
7.4%
253
 
6.7%
171
 
4.5%
144
 
3.8%
133
 
3.5%
112
 
3.0%
88
 
2.3%
Other values (190) 1604
42.4%
Decimal Number
ValueCountFrequency (%)
1 67
37.2%
3 35
19.4%
2 31
17.2%
5 11
 
6.1%
4 9
 
5.0%
8 8
 
4.4%
6 7
 
3.9%
7 7
 
3.9%
9 3
 
1.7%
0 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 21
95.5%
. 1
 
4.5%
Space Separator
ValueCountFrequency (%)
1626
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3783
67.4%
Common 1830
32.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
361
 
9.5%
338
 
8.9%
300
 
7.9%
279
 
7.4%
253
 
6.7%
171
 
4.5%
144
 
3.8%
133
 
3.5%
112
 
3.0%
88
 
2.3%
Other values (190) 1604
42.4%
Common
ValueCountFrequency (%)
1626
88.9%
1 67
 
3.7%
3 35
 
1.9%
2 31
 
1.7%
, 21
 
1.1%
5 11
 
0.6%
4 9
 
0.5%
8 8
 
0.4%
6 7
 
0.4%
7 7
 
0.4%
Other values (5) 8
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3783
67.4%
ASCII 1830
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1626
88.9%
1 67
 
3.7%
3 35
 
1.9%
2 31
 
1.7%
, 21
 
1.1%
5 11
 
0.6%
4 9
 
0.5%
8 8
 
0.4%
6 7
 
0.4%
7 7
 
0.4%
Other values (5) 8
 
0.4%
Hangul
ValueCountFrequency (%)
361
 
9.5%
338
 
8.9%
300
 
7.9%
279
 
7.4%
253
 
6.7%
171
 
4.5%
144
 
3.8%
133
 
3.5%
112
 
3.0%
88
 
2.3%
Other values (190) 1604
42.4%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
강원도 원주시청
296 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원도 원주시청
2nd row강원도 원주시청
3rd row강원도 원주시청
4th row강원도 원주시청
5th row강원도 원주시청

Common Values

ValueCountFrequency (%)
강원도 원주시청 296
100.0%

Length

2023-12-13T08:50:18.921471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:50:19.000633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 296
50.0%
원주시청 296
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
033-737-3956
296 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-737-3956
2nd row033-737-3956
3rd row033-737-3956
4th row033-737-3956
5th row033-737-3956

Common Values

ValueCountFrequency (%)
033-737-3956 296
100.0%

Length

2023-12-13T08:50:19.080603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:50:19.160607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-737-3956 296
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2022-11-30
296 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-30
2nd row2022-11-30
3rd row2022-11-30
4th row2022-11-30
5th row2022-11-30

Common Values

ValueCountFrequency (%)
2022-11-30 296
100.0%

Length

2023-12-13T08:50:19.241389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:50:19.315619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-30 296
100.0%

Interactions

2023-12-13T08:50:13.958171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:50:19.361012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명종업원수
단지명1.0000.181
종업원수0.1811.000
2023-12-13T08:50:19.426905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수단지명
종업원수1.0000.116
단지명0.1161.000

Missing values

2023-12-13T08:50:14.078528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:50:14.213408image/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

단지명업체명전화번호종업원수생산품공장대표주소(도로명)공장대표주소(지번)업종명관리기관관리기관전화번호데이터기준일자
0원주태장농공단지(주)이지메디텍033-000-00002렌즈소독기강원도 원주시 태장공단길 42-10, 1동 201호 (태장동, 원주의료기기센터)강원도 원주시 태장동 1720-26그 외 기타 의료용 기기 제조업강원도 원주시청033-737-39562022-11-30
1원주문막지방산업단지(주)8당033-901-818140보건용마스크강원도 원주시 문막읍 문막공단길 188강원도 원주시 문막읍 반계리 2231기타 직물제품 제조업강원도 원주시청033-737-39562022-11-30
2원주동화농공단지(주)가인들세정033-900-20372마스크강원도 원주시 문막읍 동화공단로 107-1, F동강원도 원주시 문막읍 동화리 1667-1그 외 기타 의료용 기기 제조업강원도 원주시청033-737-39562022-11-30
3원주태장농공단지(주)가포생활건강033-747-826735사지압박순환장치+전기마사지기강원도 원주시 태장공단길 42-10, 1동 114, 125호 (태장동, 원주의료기기센터)강원도 원주시 태장동 1720-26그 외 기타 의료용 기기 제조업 외 1 종강원도 원주시청033-737-39562022-11-30
4원주태장농공단지(주)갈렙033-748-04336의료용 세정기강원도 원주시 태장공단길 42-10 (태장동) 원주의료기기산업기술단지 3동 202호, 203호, 1동 121호강원도 원주시 태장동 1720-26그 외 기타 의료용 기기 제조업강원도 원주시청033-737-39562022-11-30
5원주태장농공단지(주)경원이엔지033-744-42402수위조절기+염소투입기+지하수보호공+소형정수장치강원도 원주시 태장공단길 42-1, 205호 (태장동)강원도 원주시 태장동 1720-60배전반 및 전기 자동제어반 제조업 외 7 종강원도 원주시청033-737-39562022-11-30
6원주문막지방산업단지(주)광덕에이앤티033-731-0280145조향장치용 플라스틱 부품강원도 원주시 문막읍 문막공단길 176강원도 원주시 문막읍 반계리 2234그 외 자동차용 신품 부품 제조업 외 3 종강원도 원주시청033-737-39562022-11-30
7원주문막농공단지(주)광영033-764-44144보안용카메라+영상감시장치+교통신호장치+LED경관조명기구강원도 원주시 문막읍 문막공단길 71강원도 원주시 문막읍 반계리 2184방송장비 제조업 외 2 종강원도 원주시청033-737-39562022-11-30
8원주동화농공단지(주)굿플1644-586671저주파자극기+의료용진동기+레이저조사기강원도 원주시 문막읍 동화공단로 107강원도 원주시 문막읍 동화리 1660-2그 외 기타 의료용 기기 제조업 외 1 종강원도 원주시청033-737-39562022-11-30
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단지명업체명전화번호종업원수생산품공장대표주소(도로명)공장대표주소(지번)업종명관리기관관리기관전화번호데이터기준일자
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287원주태장농공단지한신콤프레샤033-748-52306공기압축기강원도 원주시 태장공단길 54-13 (태장동, 하나계전)강원도 원주시 태장동 1720-55기체 펌프 및 압축기 제조업강원도 원주시청033-737-39562022-11-30
288원주우산일반산업단지한일전기(주)033-742-5181293환풍기+믹서+선풍기.가스스토브강원도 원주시 우산공단길 10 (우산동, 한일전기㈜)강원도 원주시 우산동 411-6공기 조화장치 제조업 외 11 종강원도 원주시청033-737-39562022-11-30
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291원주문막지방산업단지해태가루비(주)033-732-9996103감자스넥강원도 원주시 문막읍 문막공단길 154강원도 원주시 문막읍 반계리 2235과자류 및 코코아 제품 제조업강원도 원주시청033-737-39562022-11-30
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293원주태장농공단지효성이엔티033-742-86585액체여과기+크레인강원도 원주시 태장공단길 54-8, C동, A동 일부(태장동)강원도 원주시 태장동 1720-58액체 여과기 제조업 외 1 종강원도 원주시청033-737-39562022-11-30
294원주문막농공단지후성정공(주)033-731-748179밸브류(PLUG+DIAPHRAGM VALVE)+PFA PACKING & PEEK강원도 원주시 문막읍 문막공단길 51 (후성정공공장)강원도 원주시 문막읍 반계리 5-17그 외 기타 플라스틱 제품 제조업 외 1 종강원도 원주시청033-737-39562022-11-30
295원주동화농공단지휴린트033-747-625011의료용전극강원도 원주시 문막읍 동화공단로 130강원도 원주시 문막읍 동화리 1647-4전기식 진단 및 요법 기기 제조업강원도 원주시청033-737-39562022-11-30