Overview

Dataset statistics

Number of variables8
Number of observations551
Missing cells81
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.6 KiB
Average record size in memory64.2 B

Variable types

Categorical2
Text6

Dataset

Description전라북도 정읍시에 소재한 공장등록현황 중(유형, 업종, 업체명, 소재지도로명주소, 소재지지번주소, 생산품, 전화번호)등의 정보를 제공합니다.
Author전라북도 정읍시
URLhttps://www.data.go.kr/data/15005256/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소재지도로명주소 has 25 (4.5%) missing valuesMissing
전화번호 has 54 (9.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 15:49:51.038099
Analysis finished2023-12-12 15:49:52.451005
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유형
Categorical

Distinct16
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
개별
179 
정읍제2일반산업단지
74 
정읍제3일반산업단지
58 
정읍첨단과학일반산업단지
47 
정읍북면농공단지
43 
Other values (11)
150 

Length

Max length12
Median length10
Mean length7.199637
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개별 179
32.5%
정읍제2일반산업단지 74
13.4%
정읍제3일반산업단지 58
 
10.5%
정읍첨단과학일반산업단지 47
 
8.5%
정읍북면농공단지 43
 
7.8%
정읍태인농공단지 33
 
6.0%
정읍제2지방산업단지 27
 
4.9%
정읍제3지방산업단지 23
 
4.2%
정읍소성특화농공단지 17
 
3.1%
정읍고부농공단지 16
 
2.9%
Other values (6) 34
 
6.2%

Length

2023-12-13T00:49:52.556771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개별 179
32.5%
정읍제2일반산업단지 74
13.4%
정읍제3일반산업단지 58
 
10.5%
정읍첨단과학일반산업단지 47
 
8.5%
정읍북면농공단지 43
 
7.8%
정읍태인농공단지 33
 
6.0%
정읍제2지방산업단지 27
 
4.9%
정읍제3지방산업단지 23
 
4.2%
정읍소성특화농공단지 17
 
3.1%
정읍고부농공단지 16
 
2.9%
Other values (6) 34
 
6.2%

업종
Text

Distinct281
Distinct (%)51.1%
Missing1
Missing (%)0.2%
Memory size4.4 KiB
2023-12-13T00:49:53.063145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length17.152727
Min length5

Characters and Unicode

Total characters9434
Distinct characters243
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

Unique172 ?
Unique (%)31.3%

Sample

1st row기타 비알코올 음료 제조업
2nd row기타 비알코올 음료 제조업
3rd row골판지 제조업 외 1 종
4th row육류 도축업(가금류 제외) 외 2 종
5th row도장 및 기타 피막처리업 외 1 종
ValueCountFrequency (%)
제조업 453
 
14.7%
외 309
 
10.0%
종 258
 
8.3%
및 233
 
7.5%
1 151
 
4.9%
기타 136
 
4.4%
그 51
 
1.7%
금속 43
 
1.4%
플라스틱 41
 
1.3%
2 32
 
1.0%
Other values (339) 1383
44.8%
2023-12-13T00:49:53.884253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2540
26.9%
제 628
 
6.7%
업 582
 
6.2%
조 565
 
6.0%
외 318
 
3.4%
종 265
 
2.8%
및 234
 
2.5%
기 225
 
2.4%
품 182
 
1.9%
1 162
 
1.7%
Other values (233) 3733
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6560
69.5%
Space Separator 2540
 
26.9%
Decimal Number 268
 
2.8%
Other Punctuation 48
 
0.5%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 628
 
9.6%
업 582
 
8.9%
조 565
 
8.6%
외 318
 
4.8%
종 265
 
4.0%
및 234
 
3.6%
기 225
 
3.4%
품 182
 
2.8%
타 139
 
2.1%
용 138
 
2.1%
Other values (218) 3284
50.1%
Decimal Number
ValueCountFrequency (%)
1 162
60.4%
2 33
 
12.3%
3 29
 
10.8%
4 15
 
5.6%
5 11
 
4.1%
8 6
 
2.2%
7 5
 
1.9%
6 4
 
1.5%
9 2
 
0.7%
0 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 45
93.8%
. 3
 
6.2%
Space Separator
ValueCountFrequency (%)
2540
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6560
69.5%
Common 2874
30.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 628
 
9.6%
업 582
 
8.9%
조 565
 
8.6%
외 318
 
4.8%
종 265
 
4.0%
및 234
 
3.6%
기 225
 
3.4%
품 182
 
2.8%
타 139
 
2.1%
용 138
 
2.1%
Other values (218) 3284
50.1%
Common
ValueCountFrequency (%)
2540
88.4%
1 162
 
5.6%
, 45
 
1.6%
2 33
 
1.1%
3 29
 
1.0%
4 15
 
0.5%
5 11
 
0.4%
( 9
 
0.3%
) 9
 
0.3%
8 6
 
0.2%
Other values (5) 15
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6548
69.4%
ASCII 2874
30.5%
Compat Jamo 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2540
88.4%
1 162
 
5.6%
, 45
 
1.6%
2 33
 
1.1%
3 29
 
1.0%
4 15
 
0.5%
5 11
 
0.4%
( 9
 
0.3%
) 9
 
0.3%
8 6
 
0.2%
Other values (5) 15
 
0.5%
Hangul
ValueCountFrequency (%)
제 628
 
9.6%
업 582
 
8.9%
조 565
 
8.6%
외 318
 
4.9%
종 265
 
4.0%
및 234
 
3.6%
기 225
 
3.4%
품 182
 
2.8%
타 139
 
2.1%
용 138
 
2.1%
Other values (217) 3272
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 12
100.0%

업체명
Text

Distinct489
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-13T00:49:54.245247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.1833031
Min length2

Characters and Unicode

Total characters4509
Distinct characters369
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

Unique430 ?
Unique (%)78.0%

Sample

1st row(유)신우에스엔에프
2nd row(유)신우에스엔에프
3rd row(주)대림판지
4th row(주)삼호유황오리
5th row(주)웅지피엔지(P&G)
ValueCountFrequency (%)
주식회사 33
 
5.0%
농업회사법인 30
 
4.5%
유한회사 15
 
2.3%
주)에이스안전유리 5
 
0.8%
제2공장 4
 
0.6%
정읍지점 4
 
0.6%
2공장 4
 
0.6%
영농조합법인 4
 
0.6%
정읍공장 4
 
0.6%
세미기업(주 3
 
0.5%
Other values (490) 560
84.1%
2023-12-13T00:49:54.904626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 367
 
8.1%
( 366
 
8.1%
주 333
 
7.4%
이 121
 
2.7%
117
 
2.6%
사 114
 
2.5%
유 109
 
2.4%
업 107
 
2.4%
회 90
 
2.0%
스 89
 
2.0%
Other values (359) 2696
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3615
80.2%
Close Punctuation 367
 
8.1%
Open Punctuation 366
 
8.1%
Space Separator 117
 
2.6%
Uppercase Letter 21
 
0.5%
Decimal Number 18
 
0.4%
Lowercase Letter 3
 
0.1%
Other Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 333
 
9.2%
이 121
 
3.3%
사 114
 
3.2%
유 109
 
3.0%
업 107
 
3.0%
회 90
 
2.5%
스 89
 
2.5%
농 84
 
2.3%
인 82
 
2.3%
에 76
 
2.1%
Other values (336) 2410
66.7%
Uppercase Letter
ValueCountFrequency (%)
G 6
28.6%
E 3
14.3%
C 2
 
9.5%
M 2
 
9.5%
N 2
 
9.5%
S 2
 
9.5%
P 2
 
9.5%
J 1
 
4.8%
D 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 9
50.0%
1 4
22.2%
3 2
 
11.1%
5 1
 
5.6%
4 1
 
5.6%
9 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
c 1
33.3%
p 1
33.3%
s 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 367
100.0%
Open Punctuation
ValueCountFrequency (%)
( 366
100.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3616
80.2%
Common 869
 
19.3%
Latin 24
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 333
 
9.2%
이 121
 
3.3%
사 114
 
3.2%
유 109
 
3.0%
업 107
 
3.0%
회 90
 
2.5%
스 89
 
2.5%
농 84
 
2.3%
인 82
 
2.3%
에 76
 
2.1%
Other values (337) 2411
66.7%
Latin
ValueCountFrequency (%)
G 6
25.0%
E 3
12.5%
C 2
 
8.3%
M 2
 
8.3%
N 2
 
8.3%
S 2
 
8.3%
P 2
 
8.3%
J 1
 
4.2%
D 1
 
4.2%
c 1
 
4.2%
Other values (2) 2
 
8.3%
Common
ValueCountFrequency (%)
) 367
42.2%
( 366
42.1%
117
 
13.5%
2 9
 
1.0%
1 4
 
0.5%
3 2
 
0.2%
5 1
 
0.1%
4 1
 
0.1%
& 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3615
80.2%
ASCII 893
 
19.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 367
41.1%
( 366
41.0%
117
 
13.1%
2 9
 
1.0%
G 6
 
0.7%
1 4
 
0.4%
E 3
 
0.3%
C 2
 
0.2%
3 2
 
0.2%
M 2
 
0.2%
Other values (12) 15
 
1.7%
Hangul
ValueCountFrequency (%)
주 333
 
9.2%
이 121
 
3.3%
사 114
 
3.2%
유 109
 
3.0%
업 107
 
3.0%
회 90
 
2.5%
스 89
 
2.5%
농 84
 
2.3%
인 82
 
2.3%
에 76
 
2.1%
Other values (336) 2410
66.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct450
Distinct (%)85.6%
Missing25
Missing (%)4.5%
Memory size4.4 KiB
2023-12-13T00:49:55.352955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length26.347909
Min length6

Characters and Unicode

Total characters13859
Distinct characters286
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

Unique387 ?
Unique (%)73.6%

Sample

1st row전라북도 정읍시 고부면 고부농단길 12-19 (신우S&F)
2nd row전라북도 정읍시 고부면 고부농단길 30
3rd row전라북도 정읍시 고부면 고부농단길 20
4th row전라북도 정읍시 고부면 고부농단길 12-30
5th row전라북도 정읍시 고부면 고부농단길 11-6 (고부면)
ValueCountFrequency (%)
전라북도 525
 
17.5%
정읍시 525
 
17.5%
북면 149
 
5.0%
하북동 101
 
3.4%
외 89
 
3.0%
1필지 48
 
1.6%
태인면 44
 
1.5%
북면공단2길 40
 
1.3%
신정동 39
 
1.3%
고부면 26
 
0.9%
Other values (667) 1419
47.2%
2023-12-13T00:49:55.981906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2479
 
17.9%
북 848
 
6.1%
정 628
 
4.5%
읍 566
 
4.1%
도 550
 
4.0%
전 537
 
3.9%
라 531
 
3.8%
시 529
 
3.8%
1 451
 
3.3%
2 381
 
2.7%
Other values (276) 6359
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8359
60.3%
Space Separator 2479
 
17.9%
Decimal Number 2099
 
15.1%
Open Punctuation 295
 
2.1%
Close Punctuation 295
 
2.1%
Dash Punctuation 190
 
1.4%
Other Punctuation 79
 
0.6%
Other Symbol 50
 
0.4%
Uppercase Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 848
 
10.1%
정 628
 
7.5%
읍 566
 
6.8%
도 550
 
6.6%
전 537
 
6.4%
라 531
 
6.4%
시 529
 
6.3%
면 364
 
4.4%
길 334
 
4.0%
단 285
 
3.4%
Other values (246) 3187
38.1%
Uppercase Letter
ValueCountFrequency (%)
G 2
15.4%
F 1
7.7%
E 1
7.7%
I 1
7.7%
S 1
7.7%
N 1
7.7%
A 1
7.7%
R 1
7.7%
M 1
7.7%
K 1
7.7%
Other values (2) 2
15.4%
Decimal Number
ValueCountFrequency (%)
1 451
21.5%
2 381
18.2%
3 241
11.5%
4 196
9.3%
5 194
9.2%
7 143
 
6.8%
6 139
 
6.6%
8 133
 
6.3%
0 128
 
6.1%
9 93
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 77
97.5%
& 1
 
1.3%
/ 1
 
1.3%
Space Separator
ValueCountFrequency (%)
2479
100.0%
Open Punctuation
ValueCountFrequency (%)
( 295
100.0%
Close Punctuation
ValueCountFrequency (%)
) 295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8409
60.7%
Common 5437
39.2%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 848
 
10.1%
정 628
 
7.5%
읍 566
 
6.7%
도 550
 
6.5%
전 537
 
6.4%
라 531
 
6.3%
시 529
 
6.3%
면 364
 
4.3%
길 334
 
4.0%
단 285
 
3.4%
Other values (247) 3237
38.5%
Common
ValueCountFrequency (%)
2479
45.6%
1 451
 
8.3%
2 381
 
7.0%
( 295
 
5.4%
) 295
 
5.4%
3 241
 
4.4%
4 196
 
3.6%
5 194
 
3.6%
- 190
 
3.5%
7 143
 
2.6%
Other values (7) 572
 
10.5%
Latin
ValueCountFrequency (%)
G 2
15.4%
F 1
7.7%
E 1
7.7%
I 1
7.7%
S 1
7.7%
N 1
7.7%
A 1
7.7%
R 1
7.7%
M 1
7.7%
K 1
7.7%
Other values (2) 2
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8359
60.3%
ASCII 5450
39.3%
None 50
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2479
45.5%
1 451
 
8.3%
2 381
 
7.0%
( 295
 
5.4%
) 295
 
5.4%
3 241
 
4.4%
4 196
 
3.6%
5 194
 
3.6%
- 190
 
3.5%
7 143
 
2.6%
Other values (19) 585
 
10.7%
Hangul
ValueCountFrequency (%)
북 848
 
10.1%
정 628
 
7.5%
읍 566
 
6.8%
도 550
 
6.6%
전 537
 
6.4%
라 531
 
6.4%
시 529
 
6.3%
면 364
 
4.4%
길 334
 
4.0%
단 285
 
3.4%
Other values (246) 3187
38.1%
None
ValueCountFrequency (%)
㈜ 50
100.0%

소재지지번주소
Text

Distinct490
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-13T00:49:56.487496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length23.415608
Min length9

Characters and Unicode

Total characters12902
Distinct characters187
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

Unique436 ?
Unique (%)79.1%

Sample

1st row전라북도 정읍시 고부면 덕안리 946번지
2nd row전라북도 정읍시 고부면 덕안리 945 번지
3rd row전라북도 정읍시 고부면 덕안리 948번지
4th row전라북도 정읍시 고부면 덕안리 950-0
5th row전라북도 정읍시 고부면 덕안리 956번지
ValueCountFrequency (%)
전라북도 550
19.5%
정읍시 550
19.5%
북면 145
 
5.1%
하북동 106
 
3.8%
외 97
 
3.4%
태곡리 85
 
3.0%
신정동 52
 
1.8%
1필지 49
 
1.7%
한교리 47
 
1.7%
태인면 47
 
1.7%
Other values (620) 1092
38.7%
2023-12-13T00:49:57.264729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2286
17.7%
북 807
 
6.3%
정 621
 
4.8%
읍 573
 
4.4%
전 553
 
4.3%
시 552
 
4.3%
라 551
 
4.3%
도 551
 
4.3%
지 542
 
4.2%
번 425
 
3.3%
Other values (177) 5441
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7855
60.9%
Decimal Number 2319
 
18.0%
Space Separator 2286
 
17.7%
Dash Punctuation 401
 
3.1%
Open Punctuation 16
 
0.1%
Close Punctuation 16
 
0.1%
Other Symbol 4
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 807
 
10.3%
정 621
 
7.9%
읍 573
 
7.3%
전 553
 
7.0%
시 552
 
7.0%
라 551
 
7.0%
도 551
 
7.0%
지 542
 
6.9%
번 425
 
5.4%
리 345
 
4.4%
Other values (158) 2335
29.7%
Decimal Number
ValueCountFrequency (%)
1 417
18.0%
2 295
12.7%
3 257
11.1%
5 230
9.9%
4 217
9.4%
9 212
9.1%
8 204
8.8%
6 191
8.2%
0 153
 
6.6%
7 143
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
2286
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 401
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7859
60.9%
Common 5041
39.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 807
 
10.3%
정 621
 
7.9%
읍 573
 
7.3%
전 553
 
7.0%
시 552
 
7.0%
라 551
 
7.0%
도 551
 
7.0%
지 542
 
6.9%
번 425
 
5.4%
리 345
 
4.4%
Other values (159) 2339
29.8%
Common
ValueCountFrequency (%)
2286
45.3%
1 417
 
8.3%
- 401
 
8.0%
2 295
 
5.9%
3 257
 
5.1%
5 230
 
4.6%
4 217
 
4.3%
9 212
 
4.2%
8 204
 
4.0%
6 191
 
3.8%
Other values (6) 331
 
6.6%
Latin
ValueCountFrequency (%)
L 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7855
60.9%
ASCII 5043
39.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2286
45.3%
1 417
 
8.3%
- 401
 
8.0%
2 295
 
5.8%
3 257
 
5.1%
5 230
 
4.6%
4 217
 
4.3%
9 212
 
4.2%
8 204
 
4.0%
6 191
 
3.8%
Other values (8) 333
 
6.6%
Hangul
ValueCountFrequency (%)
북 807
 
10.3%
정 621
 
7.9%
읍 573
 
7.3%
전 553
 
7.0%
시 552
 
7.0%
라 551
 
7.0%
도 551
 
7.0%
지 542
 
6.9%
번 425
 
5.4%
리 345
 
4.4%
Other values (158) 2335
29.7%
None
ValueCountFrequency (%)
㈜ 4
100.0%

생산품
Text

Distinct470
Distinct (%)85.5%
Missing1
Missing (%)0.2%
Memory size4.4 KiB
2023-12-13T00:49:57.649659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length47
Mean length10.345455
Min length1

Characters and Unicode

Total characters5690
Distinct characters487
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique414 ?
Unique (%)75.3%

Sample

1st row청량음료,인삼음료
2nd row커피음료
3rd row박스(농· 공산품)
4th row도압, 오리 가공품
5th row자동차 전자부품(플라스틱 사출, 도장, 조립)
ValueCountFrequency (%)
및 21
 
1.9%
등 18
 
1.7%
단미사료 8
 
0.7%
면직물 8
 
0.7%
강화유리 7
 
0.6%
부품 7
 
0.6%
외 7
 
0.6%
자동차부품 7
 
0.6%
태양광 6
 
0.6%
자동차 6
 
0.6%
Other values (766) 984
91.2%
2023-12-13T00:49:58.331540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
541
 
9.5%
, 441
 
7.8%
기 125
 
2.2%
제 106
 
1.9%
장 101
 
1.8%
품 90
 
1.6%
스 82
 
1.4%
조 78
 
1.4%
자 69
 
1.2%
물 66
 
1.2%
Other values (477) 3991
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4345
76.4%
Space Separator 541
 
9.5%
Other Punctuation 445
 
7.8%
Uppercase Letter 205
 
3.6%
Lowercase Letter 61
 
1.1%
Open Punctuation 37
 
0.7%
Close Punctuation 37
 
0.7%
Decimal Number 15
 
0.3%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 125
 
2.9%
제 106
 
2.4%
장 101
 
2.3%
품 90
 
2.1%
스 82
 
1.9%
조 78
 
1.8%
자 69
 
1.6%
물 66
 
1.5%
료 66
 
1.5%
가 63
 
1.4%
Other values (419) 3499
80.5%
Uppercase Letter
ValueCountFrequency (%)
C 36
17.6%
E 28
13.7%
P 23
11.2%
D 19
9.3%
T 18
8.8%
V 16
7.8%
L 13
 
6.3%
A 7
 
3.4%
S 7
 
3.4%
R 6
 
2.9%
Other values (12) 32
15.6%
Lowercase Letter
ValueCountFrequency (%)
e 8
13.1%
p 7
11.5%
s 7
11.5%
d 5
 
8.2%
l 5
 
8.2%
c 4
 
6.6%
o 4
 
6.6%
r 3
 
4.9%
t 3
 
4.9%
h 2
 
3.3%
Other values (11) 13
21.3%
Decimal Number
ValueCountFrequency (%)
4 4
26.7%
1 3
20.0%
2 2
13.3%
3 2
13.3%
5 2
13.3%
9 1
 
6.7%
0 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 441
99.1%
· 2
 
0.4%
. 1
 
0.2%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
541
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4345
76.4%
Common 1079
 
19.0%
Latin 266
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 125
 
2.9%
제 106
 
2.4%
장 101
 
2.3%
품 90
 
2.1%
스 82
 
1.9%
조 78
 
1.8%
자 69
 
1.6%
물 66
 
1.5%
료 66
 
1.5%
가 63
 
1.4%
Other values (419) 3499
80.5%
Latin
ValueCountFrequency (%)
C 36
 
13.5%
E 28
 
10.5%
P 23
 
8.6%
D 19
 
7.1%
T 18
 
6.8%
V 16
 
6.0%
L 13
 
4.9%
e 8
 
3.0%
p 7
 
2.6%
s 7
 
2.6%
Other values (33) 91
34.2%
Common
ValueCountFrequency (%)
541
50.1%
, 441
40.9%
( 37
 
3.4%
) 37
 
3.4%
- 4
 
0.4%
4 4
 
0.4%
1 3
 
0.3%
2 2
 
0.2%
3 2
 
0.2%
5 2
 
0.2%
Other values (5) 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4344
76.3%
ASCII 1343
 
23.6%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
541
40.3%
, 441
32.8%
( 37
 
2.8%
) 37
 
2.8%
C 36
 
2.7%
E 28
 
2.1%
P 23
 
1.7%
D 19
 
1.4%
T 18
 
1.3%
V 16
 
1.2%
Other values (47) 147
 
10.9%
Hangul
ValueCountFrequency (%)
기 125
 
2.9%
제 106
 
2.4%
장 101
 
2.3%
품 90
 
2.1%
스 82
 
1.9%
조 78
 
1.8%
자 69
 
1.6%
물 66
 
1.5%
료 66
 
1.5%
가 63
 
1.5%
Other values (418) 3498
80.5%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%

전화번호
Text

MISSING 

Distinct411
Distinct (%)82.7%
Missing54
Missing (%)9.8%
Memory size4.4 KiB
2023-12-13T00:49:58.679814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016097
Min length9

Characters and Unicode

Total characters5972
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

Unique344 ?
Unique (%)69.2%

Sample

1st row063-535-3799
2nd row063-535-4441
3rd row063-535-3401
4th row063-532-8080
5th row063-536-1560
ValueCountFrequency (%)
063-538-7211 5
 
1.0%
063-538-6336 5
 
1.0%
063-531-3891 4
 
0.8%
063-532-2700 4
 
0.8%
063-532-8820 3
 
0.6%
063-534-6884 3
 
0.6%
063-534-4725 3
 
0.6%
063-536-2082 3
 
0.6%
063-538-2300 3
 
0.6%
063-537-1784 3
 
0.6%
Other values (401) 461
92.8%
2023-12-13T00:49:59.199801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1077
18.0%
- 992
16.6%
0 883
14.8%
6 726
12.2%
5 681
11.4%
1 384
 
6.4%
7 310
 
5.2%
2 275
 
4.6%
8 255
 
4.3%
4 249
 
4.2%
Other values (4) 140
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4977
83.3%
Dash Punctuation 992
 
16.6%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1077
21.6%
0 883
17.7%
6 726
14.6%
5 681
13.7%
1 384
 
7.7%
7 310
 
6.2%
2 275
 
5.5%
8 255
 
5.1%
4 249
 
5.0%
9 137
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
R 1
33.3%
S 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5969
99.9%
Latin 3
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1077
18.0%
- 992
16.6%
0 883
14.8%
6 726
12.2%
5 681
11.4%
1 384
 
6.4%
7 310
 
5.2%
2 275
 
4.6%
8 255
 
4.3%
4 249
 
4.2%
Latin
ValueCountFrequency (%)
A 1
33.3%
R 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5972
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1077
18.0%
- 992
16.6%
0 883
14.8%
6 726
12.2%
5 681
11.4%
1 384
 
6.4%
7 310
 
5.2%
2 275
 
4.6%
8 255
 
4.3%
4 249
 
4.2%
Other values (4) 140
 
2.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2022-12-12
551 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-12
2nd row2022-12-12
3rd row2022-12-12
4th row2022-12-12
5th row2022-12-12

Common Values

ValueCountFrequency (%)
2022-12-12 551
100.0%

Length

2023-12-13T00:49:59.400028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:49:59.509908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-12 551
100.0%

Missing values

2023-12-13T00:49:52.021829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:49:52.224478image/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.
2023-12-13T00:49:52.364931image/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

유형업종업체명소재지도로명주소소재지지번주소생산품전화번호데이터기준일자
0정읍고부농공단지기타 비알코올 음료 제조업(유)신우에스엔에프전라북도 정읍시 고부면 고부농단길 12-19 (신우S&F)전라북도 정읍시 고부면 덕안리 946번지청량음료,인삼음료063-535-37992022-12-12
1정읍고부농공단지기타 비알코올 음료 제조업(유)신우에스엔에프전라북도 정읍시 고부면 고부농단길 30전라북도 정읍시 고부면 덕안리 945 번지커피음료063-535-44412022-12-12
2정읍고부농공단지골판지 제조업 외 1 종(주)대림판지전라북도 정읍시 고부면 고부농단길 20전라북도 정읍시 고부면 덕안리 948번지박스(농· 공산품)063-535-34012022-12-12
3정읍고부농공단지육류 도축업(가금류 제외) 외 2 종(주)삼호유황오리전라북도 정읍시 고부면 고부농단길 12-30전라북도 정읍시 고부면 덕안리 950-0도압, 오리 가공품063-532-80802022-12-12
4정읍고부농공단지도장 및 기타 피막처리업 외 1 종(주)웅지피엔지(P&G)전라북도 정읍시 고부면 고부농단길 11-6 (고부면)전라북도 정읍시 고부면 덕안리 956번지자동차 전자부품(플라스틱 사출, 도장, 조립)063-536-15602022-12-12
5정읍고부농공단지그 외 기타 플라스틱 제품 제조업 외 2 종(주)웅지하이텍전라북도 정읍시 고부면 고부농단길 32-14 (웅지산업)전라북도 정읍시 고부면 덕안리 944번지PE망063-536-65952022-12-12
6정읍고부농공단지운송장비 조립용 플라스틱제품 제조업 외 4 종(주)카라전라북도 정읍시 고부면 고부농단길 11-5 (카라㈜)전라북도 정읍시 고부면 덕안리 957-1번지자동차부품063-536-34342022-12-12
7정읍고부농공단지설치용 및 위생용 플라스틱제품 제조업(주)한국강화프라스틱전라북도 정읍시 고부면 고부농단길 32-11 (㈜카몬드)전라북도 정읍시 고부면 덕안리 942번지사료저장탱크063-536-55072022-12-12
8정읍고부농공단지배합 사료 제조업 외 1 종농업회사법인 (주)주호전라북도 정읍시 고부면 고부농단길 11-14 (대성㈜) 외 1필지전라북도 정읍시 고부면 덕안리 958번지 외 1필지단미사료063-571-02582022-12-12
9정읍고부농공단지곡물 제분업농업회사법인 주식회사 고부전라북도 정읍시 고부면 고부농단길 11-9전라북도 정읍시 고부면 덕안리 957번지곡물제분063-537-75332022-12-12
유형업종업체명소재지도로명주소소재지지번주소생산품전화번호데이터기준일자
541정읍제3지방산업단지동 압연, 압출 및 연신제품 제조업케이씨에프테크놀로지스(주))전라북도 정읍시 북면 3산단2길 2전라북도 정읍시 북면 태곡리 938번지동박063-530-41142022-12-12
542정읍제2지방산업단지주방용 및 음식점용 목재가구 제조업코리아씽크전라북도 정읍시 2산단4길 1 (하북동, 코리아씽크공장)전라북도 정읍시 하북동 857-5번지싱크063-531-34442022-12-12
543정읍제3지방산업단지일반용 도료 및 관련제품 제조업코엔케미칼(주)전라북도 정읍시 북면 3산단4길 25전라북도 정읍시 북면 태곡리 939-7번지노면 구획용 페인트<NA>2022-12-12
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