Overview

Dataset statistics

Number of variables12
Number of observations246
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.9 KiB
Average record size in memory99.5 B

Variable types

Numeric3
Text7
Categorical2

Dataset

Description동해시 관내에 주소를 두고 있는 공장등록 현황입니다.(기업명, 사업자등록번호, 연락처, 생산품, 주소, 업종명)
Author강원특별자치도 동해시
URLhttps://www.data.go.kr/data/3077161/fileData.do

Alerts

기준일 has constant value ""Constant
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
입주산업단지명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:41:04.655951
Analysis finished2023-12-12 05:41:06.811710
Duration2.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct246
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.5
Minimum1
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T14:41:06.917101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.25
Q162.25
median123.5
Q3184.75
95-th percentile233.75
Maximum246
Range245
Interquartile range (IQR)122.5

Descriptive statistics

Standard deviation71.158274
Coefficient of variation (CV)0.57618036
Kurtosis-1.2
Mean123.5
Median Absolute Deviation (MAD)61.5
Skewness0
Sum30381
Variance5063.5
MonotonicityStrictly increasing
2023-12-12T14:41:07.086019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
156 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
Other values (236) 236
95.9%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%
237 1
0.4%
Distinct229
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T14:41:07.327080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length7.2845528
Min length2

Characters and Unicode

Total characters1792
Distinct characters254
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

Unique212 ?
Unique (%)86.2%

Sample

1st row(사)한국장애인농축산기술협회 스마트제어사업단
2nd row(주)국제산업철강
3rd row(주)대동
4th row(주)덕성목재
5th row(주)동양냉장
ValueCountFrequency (%)
주식회사 21
 
7.5%
시에라대창목재 2
 
0.7%
보광엔지니어링 2
 
0.7%
해신철강(주 2
 
0.7%
합자회사 2
 
0.7%
세원기계 2
 
0.7%
케이씨씨창호유리(주 2
 
0.7%
동우산업(주 2
 
0.7%
더한옥호텔앤리조트(주 2
 
0.7%
대진기계(주 2
 
0.7%
Other values (231) 240
86.0%
2023-12-12T14:41:07.679561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
 
7.5%
( 118
 
6.6%
) 118
 
6.6%
58
 
3.2%
50
 
2.8%
48
 
2.7%
40
 
2.2%
38
 
2.1%
36
 
2.0%
36
 
2.0%
Other values (244) 1115
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1470
82.0%
Open Punctuation 118
 
6.6%
Close Punctuation 118
 
6.6%
Uppercase Letter 45
 
2.5%
Space Separator 35
 
2.0%
Lowercase Letter 4
 
0.2%
Other Punctuation 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
135
 
9.2%
58
 
3.9%
50
 
3.4%
48
 
3.3%
40
 
2.7%
38
 
2.6%
36
 
2.4%
36
 
2.4%
33
 
2.2%
30
 
2.0%
Other values (219) 966
65.7%
Uppercase Letter
ValueCountFrequency (%)
E 6
13.3%
N 6
13.3%
M 4
 
8.9%
G 4
 
8.9%
R 3
 
6.7%
D 3
 
6.7%
B 3
 
6.7%
P 2
 
4.4%
F 2
 
4.4%
T 2
 
4.4%
Other values (6) 10
22.2%
Lowercase Letter
ValueCountFrequency (%)
l 1
25.0%
a 1
25.0%
t 1
25.0%
e 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 118
100.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1469
82.0%
Common 273
 
15.2%
Latin 49
 
2.7%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
135
 
9.2%
58
 
3.9%
50
 
3.4%
48
 
3.3%
40
 
2.7%
38
 
2.6%
36
 
2.5%
36
 
2.5%
33
 
2.2%
30
 
2.0%
Other values (218) 965
65.7%
Latin
ValueCountFrequency (%)
E 6
12.2%
N 6
12.2%
M 4
 
8.2%
G 4
 
8.2%
R 3
 
6.1%
D 3
 
6.1%
B 3
 
6.1%
P 2
 
4.1%
F 2
 
4.1%
T 2
 
4.1%
Other values (10) 14
28.6%
Common
ValueCountFrequency (%)
( 118
43.2%
) 118
43.2%
35
 
12.8%
& 1
 
0.4%
3 1
 
0.4%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1469
82.0%
ASCII 322
 
18.0%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
135
 
9.2%
58
 
3.9%
50
 
3.4%
48
 
3.3%
40
 
2.7%
38
 
2.6%
36
 
2.5%
36
 
2.5%
33
 
2.2%
30
 
2.0%
Other values (218) 965
65.7%
ASCII
ValueCountFrequency (%)
( 118
36.6%
) 118
36.6%
35
 
10.9%
E 6
 
1.9%
N 6
 
1.9%
M 4
 
1.2%
G 4
 
1.2%
R 3
 
0.9%
D 3
 
0.9%
B 3
 
0.9%
Other values (15) 22
 
6.8%
CJK
ValueCountFrequency (%)
1
100.0%

입주산업단지명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
동해북평지방산업단지
133 
<NA>
73 
북평국가산업단지
25 
동해자유무역지역
14 
동해송정일반산업단지
 
1

Length

Max length10
Median length10
Mean length7.902439
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
동해북평지방산업단지 133
54.1%
<NA> 73
29.7%
북평국가산업단지 25
 
10.2%
동해자유무역지역 14
 
5.7%
동해송정일반산업단지 1
 
0.4%

Length

2023-12-12T14:41:07.837908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:41:07.939936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동해북평지방산업단지 133
54.1%
na 73
29.7%
북평국가산업단지 25
 
10.2%
동해자유무역지역 14
 
5.7%
동해송정일반산업단지 1
 
0.4%
Distinct228
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T14:41:08.212120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2952
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

Unique210 ?
Unique (%)85.4%

Sample

1st row350-82-00463
2nd row222-81-17681
3rd row222-81-16998
4th row137-81-16915
5th row222-81-06490
ValueCountFrequency (%)
159-88-00014 2
 
0.8%
109-81-94110 2
 
0.8%
222-09-53338 2
 
0.8%
314-87-00268 2
 
0.8%
222-08-80105 2
 
0.8%
222-06-49212 2
 
0.8%
222-81-09798 2
 
0.8%
222-81-10349 2
 
0.8%
222-14-79536 2
 
0.8%
222-81-23387 2
 
0.8%
Other values (218) 226
91.9%
2023-12-12T14:41:08.632275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 625
21.2%
- 492
16.7%
0 324
11.0%
8 308
10.4%
1 304
10.3%
6 168
 
5.7%
3 163
 
5.5%
4 148
 
5.0%
5 141
 
4.8%
7 141
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2460
83.3%
Dash Punctuation 492
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 625
25.4%
0 324
13.2%
8 308
12.5%
1 304
12.4%
6 168
 
6.8%
3 163
 
6.6%
4 148
 
6.0%
5 141
 
5.7%
7 141
 
5.7%
9 138
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 492
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2952
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 625
21.2%
- 492
16.7%
0 324
11.0%
8 308
10.4%
1 304
10.3%
6 168
 
5.7%
3 163
 
5.5%
4 148
 
5.0%
5 141
 
4.8%
7 141
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 625
21.2%
- 492
16.7%
0 324
11.0%
8 308
10.4%
1 304
10.3%
6 168
 
5.7%
3 163
 
5.5%
4 148
 
5.0%
5 141
 
4.8%
7 141
 
4.8%
Distinct224
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T14:41:08.937469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.012195
Min length11

Characters and Unicode

Total characters2955
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

Unique203 ?
Unique (%)82.5%

Sample

1st row033-521-7080
2nd row033-522-1288
3rd row033-522-6512
4th row033-522-0980
5th row033-533-2310
ValueCountFrequency (%)
033-521-7880 3
 
1.2%
033-522-1669 2
 
0.8%
033-522-3191 2
 
0.8%
033-531-3289 2
 
0.8%
033-521-8400 2
 
0.8%
033-534-8655 2
 
0.8%
033-522-6651 2
 
0.8%
033-522-0786 2
 
0.8%
033-521-8247 2
 
0.8%
02-2168-7510 2
 
0.8%
Other values (214) 225
91.5%
2023-12-12T14:41:09.374503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 619
20.9%
- 492
16.6%
0 379
12.8%
2 372
12.6%
5 343
11.6%
1 249
8.4%
8 122
 
4.1%
7 113
 
3.8%
4 92
 
3.1%
6 91
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2463
83.4%
Dash Punctuation 492
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 619
25.1%
0 379
15.4%
2 372
15.1%
5 343
13.9%
1 249
10.1%
8 122
 
5.0%
7 113
 
4.6%
4 92
 
3.7%
6 91
 
3.7%
9 83
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 492
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2955
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 619
20.9%
- 492
16.6%
0 379
12.8%
2 372
12.6%
5 343
11.6%
1 249
8.4%
8 122
 
4.1%
7 113
 
3.8%
4 92
 
3.1%
6 91
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2955
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 619
20.9%
- 492
16.6%
0 379
12.8%
2 372
12.6%
5 343
11.6%
1 249
8.4%
8 122
 
4.1%
7 113
 
3.8%
4 92
 
3.1%
6 91
 
3.1%
Distinct223
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T14:41:09.625458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31
Mean length9
Min length1

Characters and Unicode

Total characters2214
Distinct characters341
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

Unique214 ?
Unique (%)87.0%

Sample

1st row수/배전반, 자동제어, CCTV, 수질계측기기
2nd row형강, 파이프
3rd row알루미늄샷시,플라스틱샷시
4th row각재
5th row건어물,젓갈,조미채
ValueCountFrequency (%)
레미콘 9
 
2.1%
9
 
2.1%
9
 
2.1%
8
 
1.8%
철구조물 7
 
1.6%
창호 5
 
1.2%
건설기계정비 5
 
1.2%
가구 5
 
1.2%
플라스틱 5
 
1.2%
가공 4
 
0.9%
Other values (317) 368
84.8%
2023-12-12T14:41:09.981182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
 
8.9%
, 167
 
7.5%
58
 
2.6%
41
 
1.9%
41
 
1.9%
41
 
1.9%
40
 
1.8%
33
 
1.5%
32
 
1.4%
30
 
1.4%
Other values (331) 1534
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1770
79.9%
Space Separator 197
 
8.9%
Other Punctuation 170
 
7.7%
Uppercase Letter 37
 
1.7%
Lowercase Letter 17
 
0.8%
Open Punctuation 11
 
0.5%
Close Punctuation 11
 
0.5%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
 
3.3%
41
 
2.3%
41
 
2.3%
41
 
2.3%
40
 
2.3%
33
 
1.9%
32
 
1.8%
30
 
1.7%
30
 
1.7%
29
 
1.6%
Other values (300) 1395
78.8%
Uppercase Letter
ValueCountFrequency (%)
C 10
27.0%
V 5
13.5%
T 5
13.5%
P 4
 
10.8%
D 3
 
8.1%
E 2
 
5.4%
M 1
 
2.7%
U 1
 
2.7%
A 1
 
2.7%
O 1
 
2.7%
Other values (4) 4
 
10.8%
Lowercase Letter
ValueCountFrequency (%)
o 5
29.4%
d 2
 
11.8%
r 2
 
11.8%
e 2
 
11.8%
l 1
 
5.9%
n 1
 
5.9%
a 1
 
5.9%
p 1
 
5.9%
c 1
 
5.9%
w 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 167
98.2%
/ 2
 
1.2%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
197
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1770
79.9%
Common 390
 
17.6%
Latin 54
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
 
3.3%
41
 
2.3%
41
 
2.3%
41
 
2.3%
40
 
2.3%
33
 
1.9%
32
 
1.8%
30
 
1.7%
30
 
1.7%
29
 
1.6%
Other values (300) 1395
78.8%
Latin
ValueCountFrequency (%)
C 10
18.5%
o 5
 
9.3%
V 5
 
9.3%
T 5
 
9.3%
P 4
 
7.4%
D 3
 
5.6%
d 2
 
3.7%
r 2
 
3.7%
e 2
 
3.7%
E 2
 
3.7%
Other values (14) 14
25.9%
Common
ValueCountFrequency (%)
197
50.5%
, 167
42.8%
( 11
 
2.8%
) 11
 
2.8%
/ 2
 
0.5%
- 1
 
0.3%
. 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1770
79.9%
ASCII 444
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
44.4%
, 167
37.6%
( 11
 
2.5%
) 11
 
2.5%
C 10
 
2.3%
o 5
 
1.1%
V 5
 
1.1%
T 5
 
1.1%
P 4
 
0.9%
D 3
 
0.7%
Other values (21) 26
 
5.9%
Hangul
ValueCountFrequency (%)
58
 
3.3%
41
 
2.3%
41
 
2.3%
41
 
2.3%
40
 
2.3%
33
 
1.9%
32
 
1.8%
30
 
1.7%
30
 
1.7%
29
 
1.6%
Other values (300) 1395
78.8%
Distinct218
Distinct (%)89.3%
Missing2
Missing (%)0.8%
Memory size2.1 KiB
2023-12-12T14:41:10.218103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length52
Mean length30.696721
Min length21

Characters and Unicode

Total characters7490
Distinct characters198
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

Unique195 ?
Unique (%)79.9%

Sample

1st row강원특별자치도 동해시 공단1로 37(구호동)
2nd row강원특별자치도 동해시 공단8로 22 (구호동)
3rd row강원특별자치도 동해시 공단2로 84 (구호동, (주)대동)
4th row강원특별자치도 동해시 공단4로 1 (구호동)
5th row강원특별자치도 동해시 일출로 161 (묵호진동, 동양냉동)
ValueCountFrequency (%)
강원특별자치도 244
17.0%
동해시 244
17.0%
구호동 163
 
11.4%
공단1로 34
 
2.4%
공단7로 32
 
2.2%
공단2로 27
 
1.9%
26
 
1.8%
공단6로 21
 
1.5%
공단3로 19
 
1.3%
1필지 16
 
1.1%
Other values (326) 606
42.3%
2023-12-12T14:41:10.602689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1188
 
15.9%
550
 
7.3%
272
 
3.6%
253
 
3.4%
253
 
3.4%
251
 
3.4%
( 249
 
3.3%
) 249
 
3.3%
249
 
3.3%
248
 
3.3%
Other values (188) 3728
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4661
62.2%
Space Separator 1188
 
15.9%
Decimal Number 956
 
12.8%
Open Punctuation 249
 
3.3%
Close Punctuation 249
 
3.3%
Other Punctuation 105
 
1.4%
Dash Punctuation 71
 
0.9%
Uppercase Letter 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
550
 
11.8%
272
 
5.8%
253
 
5.4%
253
 
5.4%
251
 
5.4%
249
 
5.3%
248
 
5.3%
245
 
5.3%
244
 
5.2%
244
 
5.2%
Other values (167) 1852
39.7%
Decimal Number
ValueCountFrequency (%)
1 195
20.4%
2 156
16.3%
3 121
12.7%
7 119
12.4%
6 76
 
7.9%
5 73
 
7.6%
0 63
 
6.6%
8 56
 
5.9%
4 53
 
5.5%
9 44
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
P 4
36.4%
L 3
27.3%
B 2
18.2%
D 1
 
9.1%
C 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 104
99.0%
. 1
 
1.0%
Space Separator
ValueCountFrequency (%)
1188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 249
100.0%
Close Punctuation
ValueCountFrequency (%)
) 249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4661
62.2%
Common 2818
37.6%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
550
 
11.8%
272
 
5.8%
253
 
5.4%
253
 
5.4%
251
 
5.4%
249
 
5.3%
248
 
5.3%
245
 
5.3%
244
 
5.2%
244
 
5.2%
Other values (167) 1852
39.7%
Common
ValueCountFrequency (%)
1188
42.2%
( 249
 
8.8%
) 249
 
8.8%
1 195
 
6.9%
2 156
 
5.5%
3 121
 
4.3%
7 119
 
4.2%
, 104
 
3.7%
6 76
 
2.7%
5 73
 
2.6%
Other values (6) 288
 
10.2%
Latin
ValueCountFrequency (%)
P 4
36.4%
L 3
27.3%
B 2
18.2%
D 1
 
9.1%
C 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4661
62.2%
ASCII 2829
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1188
42.0%
( 249
 
8.8%
) 249
 
8.8%
1 195
 
6.9%
2 156
 
5.5%
3 121
 
4.3%
7 119
 
4.2%
, 104
 
3.7%
6 76
 
2.7%
5 73
 
2.6%
Other values (11) 299
 
10.6%
Hangul
ValueCountFrequency (%)
550
 
11.8%
272
 
5.8%
253
 
5.4%
253
 
5.4%
251
 
5.4%
249
 
5.3%
248
 
5.3%
245
 
5.3%
244
 
5.2%
244
 
5.2%
Other values (167) 1852
39.7%
Distinct220
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T14:41:11.125158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length51
Mean length25.829268
Min length17

Characters and Unicode

Total characters6354
Distinct characters116
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

Unique200 ?
Unique (%)81.3%

Sample

1st row강원도동해시 구호동 243-23
2nd row강원특별자치도 동해시 구호동 235-3번지
3rd row강원특별자치도 동해시 구호동 236-15번지
4th row강원특별자치도 동해시 구호동 243-48번지
5th row강원특별자치도 동해시 묵호진동 2-1번지
ValueCountFrequency (%)
강원특별자치도 245
21.4%
동해시 245
21.4%
구호동 168
14.7%
26
 
2.3%
1필지 16
 
1.4%
송정동 13
 
1.1%
지흥동 13
 
1.1%
247번지 12
 
1.0%
11
 
1.0%
발한동 8
 
0.7%
Other values (276) 387
33.8%
2023-12-12T14:41:11.929547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
902
 
14.2%
516
 
8.1%
2 274
 
4.3%
265
 
4.2%
250
 
3.9%
250
 
3.9%
249
 
3.9%
249
 
3.9%
247
 
3.9%
247
 
3.9%
Other values (106) 2905
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4031
63.4%
Decimal Number 1186
 
18.7%
Space Separator 902
 
14.2%
Dash Punctuation 211
 
3.3%
Uppercase Letter 10
 
0.2%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
516
12.8%
265
 
6.6%
250
 
6.2%
250
 
6.2%
249
 
6.2%
249
 
6.2%
247
 
6.1%
247
 
6.1%
245
 
6.1%
245
 
6.1%
Other values (87) 1268
31.5%
Decimal Number
ValueCountFrequency (%)
2 274
23.1%
3 231
19.5%
1 187
15.8%
4 121
10.2%
6 81
 
6.8%
5 80
 
6.7%
0 64
 
5.4%
9 55
 
4.6%
8 55
 
4.6%
7 38
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
P 4
40.0%
L 3
30.0%
B 2
20.0%
S 1
 
10.0%
Space Separator
ValueCountFrequency (%)
902
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4031
63.4%
Common 2313
36.4%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
516
12.8%
265
 
6.6%
250
 
6.2%
250
 
6.2%
249
 
6.2%
249
 
6.2%
247
 
6.1%
247
 
6.1%
245
 
6.1%
245
 
6.1%
Other values (87) 1268
31.5%
Common
ValueCountFrequency (%)
902
39.0%
2 274
 
11.8%
3 231
 
10.0%
- 211
 
9.1%
1 187
 
8.1%
4 121
 
5.2%
6 81
 
3.5%
5 80
 
3.5%
0 64
 
2.8%
9 55
 
2.4%
Other values (5) 107
 
4.6%
Latin
ValueCountFrequency (%)
P 4
40.0%
L 3
30.0%
B 2
20.0%
S 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4031
63.4%
ASCII 2323
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
902
38.8%
2 274
 
11.8%
3 231
 
9.9%
- 211
 
9.1%
1 187
 
8.0%
4 121
 
5.2%
6 81
 
3.5%
5 80
 
3.4%
0 64
 
2.8%
9 55
 
2.4%
Other values (9) 117
 
5.0%
Hangul
ValueCountFrequency (%)
516
12.8%
265
 
6.6%
250
 
6.2%
250
 
6.2%
249
 
6.2%
249
 
6.2%
247
 
6.1%
247
 
6.1%
245
 
6.1%
245
 
6.1%
Other values (87) 1268
31.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct184
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.485929
Minimum37.467202
Maximum37.594285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T14:41:12.135982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.467202
5-th percentile37.472815
Q137.474853
median37.476889
Q337.483654
95-th percentile37.547495
Maximum37.594285
Range0.12708326
Interquartile range (IQR)0.00880077

Descriptive statistics

Standard deviation0.021923881
Coefficient of variation (CV)0.00058485628
Kurtosis6.8089295
Mean37.485929
Median Absolute Deviation (MAD)0.003357345
Skewness2.6220078
Sum9221.5385
Variance0.00048065656
MonotonicityNot monotonic
2023-12-12T14:41:12.331306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.48096443 12
 
4.9%
37.505432 10
 
4.1%
37.4728146 4
 
1.6%
37.47580466 4
 
1.6%
37.47489156 4
 
1.6%
37.47398175 4
 
1.6%
37.47568707 4
 
1.6%
37.47554058 3
 
1.2%
37.47727692 3
 
1.2%
37.47541154 3
 
1.2%
Other values (174) 195
79.3%
ValueCountFrequency (%)
37.4672019 1
0.4%
37.4685261 1
0.4%
37.469195 1
0.4%
37.46937303 1
0.4%
37.46951041 1
0.4%
37.47094768 1
0.4%
37.47223939 1
0.4%
37.4723326 1
0.4%
37.47236589 1
0.4%
37.47257 1
0.4%
ValueCountFrequency (%)
37.59428516 1
0.4%
37.58128184 1
0.4%
37.56701072 1
0.4%
37.56624392 1
0.4%
37.56029733 1
0.4%
37.55939885 1
0.4%
37.55724811 1
0.4%
37.55620951 1
0.4%
37.55317751 1
0.4%
37.55158884 1
0.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct184
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.13035
Minimum129.03489
Maximum129.15293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T14:41:12.811305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.03489
5-th percentile129.08818
Q1129.12552
median129.13847
Q3129.14176
95-th percentile129.15223
Maximum129.15293
Range0.118031
Interquartile range (IQR)0.01624085

Descriptive statistics

Standard deviation0.02175285
Coefficient of variation (CV)0.00016845652
Kurtosis5.1899337
Mean129.13035
Median Absolute Deviation (MAD)0.0042275
Skewness-2.1972821
Sum31766.066
Variance0.00047318646
MonotonicityNot monotonic
2023-12-12T14:41:12.976799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.1529258 12
 
4.9%
129.088179 10
 
4.1%
129.1441179 4
 
1.6%
129.1396073 4
 
1.6%
129.1380559 4
 
1.6%
129.1417616 4
 
1.6%
129.1331047 4
 
1.6%
129.1426898 3
 
1.2%
129.1401724 3
 
1.2%
129.1392622 3
 
1.2%
Other values (174) 195
79.3%
ValueCountFrequency (%)
129.0348948 2
 
0.8%
129.0428208 1
 
0.4%
129.0460805 1
 
0.4%
129.0506634 1
 
0.4%
129.056433 1
 
0.4%
129.0639221 1
 
0.4%
129.0660886 1
 
0.4%
129.0860885 1
 
0.4%
129.0866471 1
 
0.4%
129.088179 10
4.1%
ValueCountFrequency (%)
129.1529258 12
4.9%
129.1524083 1
 
0.4%
129.151709 1
 
0.4%
129.1514796 1
 
0.4%
129.150521 1
 
0.4%
129.1451213 2
 
0.8%
129.1446153 2
 
0.8%
129.1444973 1
 
0.4%
129.144264 1
 
0.4%
129.1441179 4
 
1.6%
Distinct148
Distinct (%)60.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T14:41:13.271789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length16.739837
Min length6

Characters and Unicode

Total characters4118
Distinct characters201
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

Unique106 ?
Unique (%)43.1%

Sample

1st row배전반 및 전기 자동제어반 제조업 외 2 종
2nd row그 외 기타 1차 철강 제조업
3rd row플라스틱 창호 제조업 외 1 종
4th row일반 제재업
5th row수산동물 훈제, 조리 및 유사 조제식품 제조업 외 2 종
ValueCountFrequency (%)
제조업 207
 
15.4%
132
 
9.9%
108
 
8.1%
98
 
7.3%
1 55
 
4.1%
기타 54
 
4.0%
금속 34
 
2.5%
수산동물 29
 
2.2%
24
 
1.8%
2 22
 
1.6%
Other values (205) 577
43.1%
2023-12-12T14:41:13.705308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1094
26.6%
296
 
7.2%
268
 
6.5%
256
 
6.2%
134
 
3.3%
113
 
2.7%
98
 
2.4%
96
 
2.3%
90
 
2.2%
1 63
 
1.5%
Other values (191) 1610
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2878
69.9%
Space Separator 1094
 
26.6%
Decimal Number 116
 
2.8%
Other Punctuation 26
 
0.6%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
296
 
10.3%
268
 
9.3%
256
 
8.9%
134
 
4.7%
113
 
3.9%
98
 
3.4%
96
 
3.3%
90
 
3.1%
61
 
2.1%
60
 
2.1%
Other values (177) 1406
48.9%
Decimal Number
ValueCountFrequency (%)
1 63
54.3%
2 23
 
19.8%
3 16
 
13.8%
4 4
 
3.4%
5 3
 
2.6%
7 2
 
1.7%
6 2
 
1.7%
9 2
 
1.7%
8 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 25
96.2%
. 1
 
3.8%
Space Separator
ValueCountFrequency (%)
1094
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2878
69.9%
Common 1240
30.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
296
 
10.3%
268
 
9.3%
256
 
8.9%
134
 
4.7%
113
 
3.9%
98
 
3.4%
96
 
3.3%
90
 
3.1%
61
 
2.1%
60
 
2.1%
Other values (177) 1406
48.9%
Common
ValueCountFrequency (%)
1094
88.2%
1 63
 
5.1%
, 25
 
2.0%
2 23
 
1.9%
3 16
 
1.3%
4 4
 
0.3%
5 3
 
0.2%
7 2
 
0.2%
6 2
 
0.2%
9 2
 
0.2%
Other values (4) 6
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2878
69.9%
ASCII 1240
30.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1094
88.2%
1 63
 
5.1%
, 25
 
2.0%
2 23
 
1.9%
3 16
 
1.3%
4 4
 
0.3%
5 3
 
0.2%
7 2
 
0.2%
6 2
 
0.2%
9 2
 
0.2%
Other values (4) 6
 
0.5%
Hangul
ValueCountFrequency (%)
296
 
10.3%
268
 
9.3%
256
 
8.9%
134
 
4.7%
113
 
3.9%
98
 
3.4%
96
 
3.3%
90
 
3.1%
61
 
2.1%
60
 
2.1%
Other values (177) 1406
48.9%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-06
246 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-06
2nd row2023-12-06
3rd row2023-12-06
4th row2023-12-06
5th row2023-12-06

Common Values

ValueCountFrequency (%)
2023-12-06 246
100.0%

Length

2023-12-12T14:41:13.869026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:41:13.984303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-06 246
100.0%

Interactions

2023-12-12T14:41:06.135121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:41:05.425212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:41:05.802147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:41:06.228869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:41:05.521613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:41:05.919968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:41:06.348588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:41:05.682246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:41:06.035632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:41:14.055749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번입주산업단지명위도경도
순번1.0000.2760.3210.278
입주산업단지명0.2761.0000.9830.710
위도0.3210.9831.0000.789
경도0.2780.7100.7891.000
2023-12-12T14:41:14.191383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도입주산업단지명
순번1.0000.007-0.0760.168
위도0.0071.000-0.5120.877
경도-0.076-0.5121.0000.747
입주산업단지명0.1680.8770.7471.000

Missing values

2023-12-12T14:41:06.543532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:41:06.733410image/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

순번회사명입주산업단지명사업자번호전화번호생산품도로명주소지번주소위도경도업종명기준일
01(사)한국장애인농축산기술협회 스마트제어사업단동해북평지방산업단지350-82-00463033-521-7080수/배전반, 자동제어, CCTV, 수질계측기기강원특별자치도 동해시 공단1로 37(구호동)강원도동해시 구호동 243-2337.472815129.144118배전반 및 전기 자동제어반 제조업 외 2 종2023-12-06
12(주)국제산업철강동해북평지방산업단지222-81-17681033-522-1288형강, 파이프강원특별자치도 동해시 공단8로 22 (구호동)강원특별자치도 동해시 구호동 235-3번지37.476274129.134855그 외 기타 1차 철강 제조업2023-12-06
23(주)대동동해북평지방산업단지222-81-16998033-522-6512알루미늄샷시,플라스틱샷시강원특별자치도 동해시 공단2로 84 (구호동, (주)대동)강원특별자치도 동해시 구호동 236-15번지37.476788129.136671플라스틱 창호 제조업 외 1 종2023-12-06
34(주)덕성목재동해북평지방산업단지137-81-16915033-522-0980각재강원특별자치도 동해시 공단4로 1 (구호동)강원특별자치도 동해시 구호동 243-48번지37.47485129.145121일반 제재업2023-12-06
45(주)동양냉장<NA>222-81-06490033-533-2310건어물,젓갈,조미채강원특별자치도 동해시 일출로 161 (묵호진동, 동양냉동)강원특별자치도 동해시 묵호진동 2-1번지37.557248129.120973수산동물 훈제, 조리 및 유사 조제식품 제조업 외 2 종2023-12-06
56(주)동진건설동해북평지방산업단지328-86-00732033-522-3980금속천장재, 폴리우레아강원특별자치도 동해시 공단2로 74-1 (구호동)강원특별자치도 동해시 구호동 236-25번지37.476362129.137886구조용 금속 판제품 및 공작물 제조업 외 1 종2023-12-06
67(주)동해삼테크<NA>222-81-10354033-531-4118유수관리시스템, CCTV강원특별자치도 동해시 중앙로 173 (천곡동)강원특별자치도 동해시 천곡동 1000-6번지37.516503129.11715방송장비 제조업 외 1 종2023-12-06
78(주)동해삼테크동해북평지방산업단지222-81-10354033-531-4118영상감시장치,CCTV, 컴퓨터서버, 워크스테이션강원특별자치도 동해시 공단3로 47, 가동일부분 (구호동)강원특별자치도 동해시 구호동 243-16번지 가동일부분37.475805129.139607방송장비 제조업 외 1 종2023-12-06
89(주)동해샘물<NA>222-81-13365033-534-3066생수강원특별자치도 동해시 석두골길 151 (망상동, 동해생수공장)강원특별자치도 동해시 망상동 459-5번지37.594285129.066089생수 생산업2023-12-06
910(주)동해정밀동해북평지방산업단지582-86-00753033-521-1160기어, 샤프트강원특별자치도 동해시 공단3로 46 (구호동)강원특별자치도 동해시 구호동 243-13번지37.476002129.141612기어 및 동력전달장치 제조업 외 1 종2023-12-06
순번회사명입주산업단지명사업자번호전화번호생산품도로명주소지번주소위도경도업종명기준일
236237허니스토리<NA>250-34-00560033-522-3088벌꿀소분강원특별자치도 동해시 지양길 200 (지흥동) 동해시창업보육센터 9209호강원특별자치도 동해시 지흥동 산 119-0 동해시창업보육센터 9209호37.505432129.088179기타 식품 첨가물 제조업2023-12-06
237238혁승산업(주)동해북평지방산업단지222-81-24810033-521-2422소둔선, 결속선, 철못, 와이어메쉬강원특별자치도 동해시 공단6로 66 (구호동)강원특별자치도 동해시 구호동 235-16번지37.475551129.136042철강선 제조업 외 3 종2023-12-06
238239혁승산업(주)동해북평지방산업단지222-81-24810033-521-2422프레타이강원특별자치도 동해시 공단6로 56 (구호동)강원특별자치도 동해시 구호동 235-14번지37.474924129.136564자동차용 금속 압형제품 제조업 외 1 종2023-12-06
239240현대산업차량 강원 동부판매동해북평지방산업단지836-85-01220033-521-8830산업용지게차 전용부품, 지게차포크 자동화장치, 기계장비 수리강원특별자치도 동해시 공단2로 78-2 (구호동)강원특별자치도 동해시 구호동 236-34번지37.477166129.137683산업용 트럭 및 적재기 제조업 외 1 종2023-12-06
240241현대스틸 주식회사동해북평지방산업단지504-88-00795033-521-5107철골구조물,안전난간대,안전작업대강원특별자치도 동해시 공단7로 55(구호동, 세진산업)강원특별자치도 동해시 구호동 236-10 세진산업37.477277129.140172일반철물 제조업2023-12-06
241242현디자인동해북평지방산업단지222-01-46767033-535-5840광고판, 안내판, 전시대, 현수막 등강원특별자치도 동해시 공단7로 25 (구호동) 강진전설강원특별자치도 동해시 구호동 235-9 강진전설37.474892129.138056간판 및 광고물 제조업2023-12-06
242243현진레미콘(주)<NA>258-88-00058033-521-1991레미콘강원특별자치도 동해시 쉬눔길 55 (추암동) 외 3필지강원특별자치도 동해시 추암동 34-9번지 외 3필지37.470948129.151709레미콘 제조업2023-12-06
243244형제기계동해북평지방산업단지222-07-89996033-522-6739기계부품강원특별자치도 동해시 공단7로 32 (구호동, 국제유압정비공장)강원특별자치도 동해시 구호동 243-31번지37.475412129.139262건설 및 채광용 기계장비 제조업2023-12-06
244245회전공업사<NA>222-04-73417033-521-0049건설기계정비강원특별자치도 동해시 효자로 592 (쇄운동)강원특별자치도 동해시 쇄운동 173-32번지37.48922129.099838건설 및 채광용 기계장비 제조업2023-12-06
245246현주산업동해북평지방산업단지224-10-77399033-521-7028맨홀, 프레타이강원특별자치도 동해시 공단9로 103-5강원특별자치도 동해시 구호동 229-13번지37.481864129.14158토목자재 제조업2023-12-06