Overview

Dataset statistics

Number of variables8
Number of observations756
Missing cells204
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.1 KiB
Average record size in memory65.2 B

Variable types

Numeric1
Text6
DateTime1

Dataset

Description2023년 1월 19일 기준, 나주시 제조업 공장에 대한 정보를 제공합니다. 주요 제공항목은 업체명, 소재지 주소, 생산품, 전화번호 등입니다.
Author전라남도 나주시
URLhttps://www.data.go.kr/data/15035299/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
대표번호 has 54 (7.1%) missing valuesMissing
팩스번호 has 140 (18.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:17:16.161640
Analysis finished2023-12-12 14:17:17.450619
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct756
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378.5
Minimum1
Maximum756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-12T23:17:17.536999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile38.75
Q1189.75
median378.5
Q3567.25
95-th percentile718.25
Maximum756
Range755
Interquartile range (IQR)377.5

Descriptive statistics

Standard deviation218.38269
Coefficient of variation (CV)0.5769688
Kurtosis-1.2
Mean378.5
Median Absolute Deviation (MAD)189
Skewness0
Sum286146
Variance47691
MonotonicityStrictly increasing
2023-12-12T23:17:17.692190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
510 1
 
0.1%
501 1
 
0.1%
502 1
 
0.1%
503 1
 
0.1%
504 1
 
0.1%
505 1
 
0.1%
506 1
 
0.1%
507 1
 
0.1%
508 1
 
0.1%
Other values (746) 746
98.7%
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 (%)
756 1
0.1%
755 1
0.1%
754 1
0.1%
753 1
0.1%
752 1
0.1%
751 1
0.1%
750 1
0.1%
749 1
0.1%
748 1
0.1%
747 1
0.1%

회사명
Text

Distinct733
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2023-12-12T23:17:17.952802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length8.1190476
Min length2

Characters and Unicode

Total characters6138
Distinct characters392
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

Unique713 ?
Unique (%)94.3%

Sample

1st row(유)금호산기
2nd row(유)농업회사법인 자연과농부들
3rd row(유)다온시스
4th row(유)덕암산업
5th row(유)동원도정산업
ValueCountFrequency (%)
주식회사 83
 
9.4%
농업회사법인 17
 
1.9%
유한회사 7
 
0.8%
나주시농협쌀조합공동사업법인 4
 
0.5%
영농조합법인 4
 
0.5%
아이오티플러스 3
 
0.3%
나주공장 3
 
0.3%
농협경제지주(주 2
 
0.2%
주)에이치에스티 2
 
0.2%
주)위테크 2
 
0.2%
Other values (745) 760
85.7%
2023-12-12T23:17:18.390387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 596
 
9.7%
( 473
 
7.7%
) 473
 
7.7%
사 201
 
3.3%
회 171
 
2.8%
업 161
 
2.6%
이 159
 
2.6%
식 135
 
2.2%
131
 
2.1%
스 116
 
1.9%
Other values (382) 3522
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5014
81.7%
Open Punctuation 473
 
7.7%
Close Punctuation 473
 
7.7%
Space Separator 131
 
2.1%
Decimal Number 17
 
0.3%
Dash Punctuation 16
 
0.3%
Uppercase Letter 8
 
0.1%
Other Punctuation 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 596
 
11.9%
사 201
 
4.0%
회 171
 
3.4%
업 161
 
3.2%
이 159
 
3.2%
식 135
 
2.7%
스 116
 
2.3%
산 115
 
2.3%
인 100
 
2.0%
에 91
 
1.8%
Other values (363) 3169
63.2%
Uppercase Letter
ValueCountFrequency (%)
M 2
25.0%
G 2
25.0%
K 1
12.5%
B 1
12.5%
F 1
12.5%
U 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 9
52.9%
1 5
29.4%
3 2
 
11.8%
5 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
c 1
33.3%
o 1
33.3%
m 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 473
100.0%
Close Punctuation
ValueCountFrequency (%)
) 473
100.0%
Space Separator
ValueCountFrequency (%)
131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5014
81.7%
Common 1113
 
18.1%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 596
 
11.9%
사 201
 
4.0%
회 171
 
3.4%
업 161
 
3.2%
이 159
 
3.2%
식 135
 
2.7%
스 116
 
2.3%
산 115
 
2.3%
인 100
 
2.0%
에 91
 
1.8%
Other values (363) 3169
63.2%
Common
ValueCountFrequency (%)
( 473
42.5%
) 473
42.5%
131
 
11.8%
- 16
 
1.4%
2 9
 
0.8%
1 5
 
0.4%
3 2
 
0.2%
. 2
 
0.2%
5 1
 
0.1%
& 1
 
0.1%
Latin
ValueCountFrequency (%)
M 2
18.2%
G 2
18.2%
c 1
9.1%
o 1
9.1%
m 1
9.1%
K 1
9.1%
B 1
9.1%
F 1
9.1%
U 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5014
81.7%
ASCII 1124
 
18.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 596
 
11.9%
사 201
 
4.0%
회 171
 
3.4%
업 161
 
3.2%
이 159
 
3.2%
식 135
 
2.7%
스 116
 
2.3%
산 115
 
2.3%
인 100
 
2.0%
에 91
 
1.8%
Other values (363) 3169
63.2%
ASCII
ValueCountFrequency (%)
( 473
42.1%
) 473
42.1%
131
 
11.7%
- 16
 
1.4%
2 9
 
0.8%
1 5
 
0.4%
M 2
 
0.2%
G 2
 
0.2%
3 2
 
0.2%
. 2
 
0.2%
Other values (9) 9
 
0.8%

공장대표주소(도로명)
Text

Distinct679
Distinct (%)90.7%
Missing7
Missing (%)0.9%
Memory size6.0 KiB
2023-12-12T23:17:18.734916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length50
Mean length27.670227
Min length17

Characters and Unicode

Total characters20725
Distinct characters284
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

Unique632 ?
Unique (%)84.4%

Sample

1st row전라남도 나주시 노안면 노안로 455-21
2nd row전라남도 나주시 남평읍 평산앞들길 34 외 2필지
3rd row전라남도 나주시 왕곡면 혁신산단9길 64
4th row전라남도 나주시 세지면 동곡송정길 96
5th row전라남도 나주시 구진포로 281 (안창동, 동산정미소) 외 4필지
ValueCountFrequency (%)
나주시 750
 
17.3%
전라남도 749
 
17.3%
동수농공단지길 147
 
3.4%
외 138
 
3.2%
동수동 116
 
2.7%
왕곡면 106
 
2.4%
노안면 81
 
1.9%
1필지 80
 
1.8%
남평읍 74
 
1.7%
산포면 57
 
1.3%
Other values (963) 2038
47.0%
2023-12-12T23:17:19.216905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3588
 
17.3%
남 908
 
4.4%
주 820
 
4.0%
도 793
 
3.8%
나 783
 
3.8%
시 778
 
3.8%
전 762
 
3.7%
라 754
 
3.6%
동 691
 
3.3%
1 662
 
3.2%
Other values (274) 10186
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12576
60.7%
Space Separator 3588
 
17.3%
Decimal Number 3149
 
15.2%
Open Punctuation 420
 
2.0%
Close Punctuation 420
 
2.0%
Dash Punctuation 400
 
1.9%
Other Punctuation 135
 
0.7%
Uppercase Letter 34
 
0.2%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 908
 
7.2%
주 820
 
6.5%
도 793
 
6.3%
나 783
 
6.2%
시 778
 
6.2%
전 762
 
6.1%
라 754
 
6.0%
동 691
 
5.5%
길 433
 
3.4%
지 418
 
3.3%
Other values (247) 5436
43.2%
Decimal Number
ValueCountFrequency (%)
1 662
21.0%
3 410
13.0%
2 369
11.7%
5 343
10.9%
4 270
8.6%
0 258
 
8.2%
7 218
 
6.9%
9 218
 
6.9%
6 209
 
6.6%
8 192
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
D 16
47.1%
F 6
 
17.6%
B 3
 
8.8%
A 3
 
8.8%
G 2
 
5.9%
S 1
 
2.9%
R 1
 
2.9%
M 1
 
2.9%
E 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 134
99.3%
& 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
3588
100.0%
Open Punctuation
ValueCountFrequency (%)
( 420
100.0%
Close Punctuation
ValueCountFrequency (%)
) 420
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 400
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12576
60.7%
Common 8112
39.1%
Latin 37
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 908
 
7.2%
주 820
 
6.5%
도 793
 
6.3%
나 783
 
6.2%
시 778
 
6.2%
전 762
 
6.1%
라 754
 
6.0%
동 691
 
5.5%
길 433
 
3.4%
지 418
 
3.3%
Other values (247) 5436
43.2%
Common
ValueCountFrequency (%)
3588
44.2%
1 662
 
8.2%
( 420
 
5.2%
) 420
 
5.2%
3 410
 
5.1%
- 400
 
4.9%
2 369
 
4.5%
5 343
 
4.2%
4 270
 
3.3%
0 258
 
3.2%
Other values (6) 972
 
12.0%
Latin
ValueCountFrequency (%)
D 16
43.2%
F 6
 
16.2%
B 3
 
8.1%
A 3
 
8.1%
G 2
 
5.4%
c 2
 
5.4%
S 1
 
2.7%
k 1
 
2.7%
R 1
 
2.7%
M 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12576
60.7%
ASCII 8149
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3588
44.0%
1 662
 
8.1%
( 420
 
5.2%
) 420
 
5.2%
3 410
 
5.0%
- 400
 
4.9%
2 369
 
4.5%
5 343
 
4.2%
4 270
 
3.3%
0 258
 
3.2%
Other values (17) 1009
 
12.4%
Hangul
ValueCountFrequency (%)
남 908
 
7.2%
주 820
 
6.5%
도 793
 
6.3%
나 783
 
6.2%
시 778
 
6.2%
전 762
 
6.1%
라 754
 
6.0%
동 691
 
5.5%
길 433
 
3.4%
지 418
 
3.3%
Other values (247) 5436
43.2%

공장대표주소(지번)
Text

Distinct705
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2023-12-12T23:17:19.528616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length51
Mean length24.719577
Min length16

Characters and Unicode

Total characters18688
Distinct characters216
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

Unique669 ?
Unique (%)88.5%

Sample

1st row전라남도 나주시 노안면 장동리 597번지
2nd row전라남도 나주시 남평읍 평산리 525-1 번지 외 2필지
3rd row전라남도 나주시 왕곡면 덕산리 817-11
4th row전라남도 나주시 세지면 동곡리 47-4번지
5th row전라남도 나주시 안창동 508-9번지 동산정미소 외 4필지
ValueCountFrequency (%)
나주시 757
18.7%
전라남도 756
18.6%
외 138
 
3.4%
동수동 129
 
3.2%
왕곡면 107
 
2.6%
덕산리 96
 
2.4%
노안면 84
 
2.1%
1필지 80
 
2.0%
남평읍 71
 
1.7%
산포면 58
 
1.4%
Other values (911) 1782
43.9%
2023-12-12T23:17:20.012515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3322
 
17.8%
남 851
 
4.6%
도 786
 
4.2%
주 782
 
4.2%
전 768
 
4.1%
시 768
 
4.1%
나 765
 
4.1%
라 760
 
4.1%
지 753
 
4.0%
1 688
 
3.7%
Other values (206) 8445
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11372
60.9%
Space Separator 3322
 
17.8%
Decimal Number 3316
 
17.7%
Dash Punctuation 580
 
3.1%
Uppercase Letter 32
 
0.2%
Close Punctuation 29
 
0.2%
Open Punctuation 29
 
0.2%
Other Punctuation 5
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 851
 
7.5%
도 786
 
6.9%
주 782
 
6.9%
전 768
 
6.8%
시 768
 
6.8%
나 765
 
6.7%
라 760
 
6.7%
지 753
 
6.6%
동 582
 
5.1%
번 581
 
5.1%
Other values (182) 3976
35.0%
Decimal Number
ValueCountFrequency (%)
1 688
20.7%
3 432
13.0%
2 418
12.6%
5 330
10.0%
0 283
8.5%
4 271
 
8.2%
8 248
 
7.5%
6 234
 
7.1%
7 222
 
6.7%
9 190
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
D 16
50.0%
F 6
 
18.8%
A 3
 
9.4%
B 3
 
9.4%
G 2
 
6.2%
E 1
 
3.1%
M 1
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
3322
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 580
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11372
60.9%
Common 7281
39.0%
Latin 35
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 851
 
7.5%
도 786
 
6.9%
주 782
 
6.9%
전 768
 
6.8%
시 768
 
6.8%
나 765
 
6.7%
라 760
 
6.7%
지 753
 
6.6%
동 582
 
5.1%
번 581
 
5.1%
Other values (182) 3976
35.0%
Common
ValueCountFrequency (%)
3322
45.6%
1 688
 
9.4%
- 580
 
8.0%
3 432
 
5.9%
2 418
 
5.7%
5 330
 
4.5%
0 283
 
3.9%
4 271
 
3.7%
8 248
 
3.4%
6 234
 
3.2%
Other values (5) 475
 
6.5%
Latin
ValueCountFrequency (%)
D 16
45.7%
F 6
 
17.1%
A 3
 
8.6%
B 3
 
8.6%
c 2
 
5.7%
G 2
 
5.7%
k 1
 
2.9%
E 1
 
2.9%
M 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11372
60.9%
ASCII 7316
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3322
45.4%
1 688
 
9.4%
- 580
 
7.9%
3 432
 
5.9%
2 418
 
5.7%
5 330
 
4.5%
0 283
 
3.9%
4 271
 
3.7%
8 248
 
3.4%
6 234
 
3.2%
Other values (14) 510
 
7.0%
Hangul
ValueCountFrequency (%)
남 851
 
7.5%
도 786
 
6.9%
주 782
 
6.9%
전 768
 
6.8%
시 768
 
6.8%
나 765
 
6.7%
라 760
 
6.7%
지 753
 
6.6%
동 582
 
5.1%
번 581
 
5.1%
Other values (182) 3976
35.0%

생산품
Text

Distinct668
Distinct (%)88.7%
Missing3
Missing (%)0.4%
Memory size6.0 KiB
2023-12-12T23:17:20.340971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length55
Mean length12.435591
Min length1

Characters and Unicode

Total characters9364
Distinct characters528
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

Unique621 ?
Unique (%)82.5%

Sample

1st row수문권양기,제진기,벨트컨베이어 등
2nd row농산물가공품(나물류)
3rd row배전반
4th row퍼걸러, 조경시설물
5th row압맥, 정맥
ValueCountFrequency (%)
등 79
 
5.8%
및 37
 
2.7%
배전반 16
 
1.2%
변압기 12
 
0.9%
레미콘 9
 
0.7%
플라스틱 8
 
0.6%
자동제어반 7
 
0.5%
cctv 7
 
0.5%
유기질비료 7
 
0.5%
개폐기 6
 
0.4%
Other values (969) 1171
86.2%
2023-12-12T23:17:21.168509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 715
 
7.6%
696
 
7.4%
기 351
 
3.7%
전 222
 
2.4%
장 191
 
2.0%
제 177
 
1.9%
등 165
 
1.8%
스 127
 
1.4%
치 117
 
1.2%
조 115
 
1.2%
Other values (518) 6488
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7341
78.4%
Other Punctuation 750
 
8.0%
Space Separator 696
 
7.4%
Uppercase Letter 274
 
2.9%
Lowercase Letter 169
 
1.8%
Close Punctuation 54
 
0.6%
Open Punctuation 54
 
0.6%
Decimal Number 22
 
0.2%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 351
 
4.8%
전 222
 
3.0%
장 191
 
2.6%
제 177
 
2.4%
등 165
 
2.2%
스 127
 
1.7%
치 117
 
1.6%
조 115
 
1.6%
반 108
 
1.5%
수 106
 
1.4%
Other values (459) 5662
77.1%
Uppercase Letter
ValueCountFrequency (%)
C 40
14.6%
S 30
10.9%
E 28
10.2%
D 24
8.8%
L 21
 
7.7%
P 19
 
6.9%
M 16
 
5.8%
V 15
 
5.5%
T 15
 
5.5%
O 11
 
4.0%
Other values (12) 55
20.1%
Lowercase Letter
ValueCountFrequency (%)
e 23
13.6%
r 15
8.9%
a 15
8.9%
t 14
 
8.3%
p 13
 
7.7%
c 12
 
7.1%
o 11
 
6.5%
n 11
 
6.5%
l 11
 
6.5%
i 8
 
4.7%
Other values (9) 36
21.3%
Decimal Number
ValueCountFrequency (%)
2 6
27.3%
5 4
18.2%
7 4
18.2%
9 2
 
9.1%
1 2
 
9.1%
0 2
 
9.1%
3 1
 
4.5%
8 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 715
95.3%
. 24
 
3.2%
· 3
 
0.4%
? 3
 
0.4%
/ 3
 
0.4%
& 2
 
0.3%
Space Separator
ValueCountFrequency (%)
696
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7341
78.4%
Common 1580
 
16.9%
Latin 443
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 351
 
4.8%
전 222
 
3.0%
장 191
 
2.6%
제 177
 
2.4%
등 165
 
2.2%
스 127
 
1.7%
치 117
 
1.6%
조 115
 
1.6%
반 108
 
1.5%
수 106
 
1.4%
Other values (459) 5662
77.1%
Latin
ValueCountFrequency (%)
C 40
 
9.0%
S 30
 
6.8%
E 28
 
6.3%
D 24
 
5.4%
e 23
 
5.2%
L 21
 
4.7%
P 19
 
4.3%
M 16
 
3.6%
r 15
 
3.4%
a 15
 
3.4%
Other values (31) 212
47.9%
Common
ValueCountFrequency (%)
, 715
45.3%
696
44.1%
) 54
 
3.4%
( 54
 
3.4%
. 24
 
1.5%
2 6
 
0.4%
- 4
 
0.3%
5 4
 
0.3%
7 4
 
0.3%
· 3
 
0.2%
Other values (8) 16
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7341
78.4%
ASCII 2020
 
21.6%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 715
35.4%
696
34.5%
) 54
 
2.7%
( 54
 
2.7%
C 40
 
2.0%
S 30
 
1.5%
E 28
 
1.4%
D 24
 
1.2%
. 24
 
1.2%
e 23
 
1.1%
Other values (48) 332
16.4%
Hangul
ValueCountFrequency (%)
기 351
 
4.8%
전 222
 
3.0%
장 191
 
2.6%
제 177
 
2.4%
등 165
 
2.2%
스 127
 
1.7%
치 117
 
1.6%
조 115
 
1.6%
반 108
 
1.5%
수 106
 
1.4%
Other values (459) 5662
77.1%
None
ValueCountFrequency (%)
· 3
100.0%

대표번호
Text

MISSING 

Distinct646
Distinct (%)92.0%
Missing54
Missing (%)7.1%
Memory size6.0 KiB
2023-12-12T23:17:21.436348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.024217
Min length9

Characters and Unicode

Total characters8441
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

Unique595 ?
Unique (%)84.8%

Sample

1st row061-333-1772
2nd row061-331-4982
3rd row032-7100-714
4th row061-331-7998
5th row061-334-5171
ValueCountFrequency (%)
061-335-7535 4
 
0.6%
061-334-3700 3
 
0.4%
061-336-4456 3
 
0.4%
061-337-2250 3
 
0.4%
061-331-6071 2
 
0.3%
061-337-9080 2
 
0.3%
061-337-9070 2
 
0.3%
061-335-3070 2
 
0.3%
061-335-8000 2
 
0.3%
061-803-2000 2
 
0.3%
Other values (636) 677
96.4%
2023-12-12T23:17:21.873000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1476
17.5%
- 1401
16.6%
0 1289
15.3%
1 1064
12.6%
6 982
11.6%
5 420
 
5.0%
2 404
 
4.8%
8 397
 
4.7%
7 392
 
4.6%
4 339
 
4.0%
Other values (4) 277
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7034
83.3%
Dash Punctuation 1401
 
16.6%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1476
21.0%
0 1289
18.3%
1 1064
15.1%
6 982
14.0%
5 420
 
6.0%
2 404
 
5.7%
8 397
 
5.6%
7 392
 
5.6%
4 339
 
4.8%
9 271
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
R 2
33.3%
S 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1401
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8435
99.9%
Latin 6
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1476
17.5%
- 1401
16.6%
0 1289
15.3%
1 1064
12.6%
6 982
11.6%
5 420
 
5.0%
2 404
 
4.8%
8 397
 
4.7%
7 392
 
4.6%
4 339
 
4.0%
Latin
ValueCountFrequency (%)
A 2
33.3%
R 2
33.3%
S 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8441
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1476
17.5%
- 1401
16.6%
0 1289
15.3%
1 1064
12.6%
6 982
11.6%
5 420
 
5.0%
2 404
 
4.8%
8 397
 
4.7%
7 392
 
4.6%
4 339
 
4.0%
Other values (4) 277
 
3.3%

팩스번호
Text

MISSING 

Distinct557
Distinct (%)90.4%
Missing140
Missing (%)18.5%
Memory size6.0 KiB
2023-12-12T23:17:22.141908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.042208
Min length11

Characters and Unicode

Total characters7418
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

Unique507 ?
Unique (%)82.3%

Sample

1st row061-333-1772
2nd row061-333-5982
3rd row032-710-0714
4th row061-333-5171
5th row061-334-3701
ValueCountFrequency (%)
061-336-5714 4
 
0.6%
061-335-6154 4
 
0.6%
061-337-4270 3
 
0.5%
062-603-3391 3
 
0.5%
061-331-6073 3
 
0.5%
061-337-9935 3
 
0.5%
061-336-4459 3
 
0.5%
061-334-2332 2
 
0.3%
061-332-2552 2
 
0.3%
062-372-5851 2
 
0.3%
Other values (547) 587
95.3%
2023-12-12T23:17:22.502131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1270
17.1%
- 1232
16.6%
0 1004
13.5%
6 898
12.1%
1 891
12.0%
2 431
 
5.8%
5 383
 
5.2%
7 363
 
4.9%
8 363
 
4.9%
4 314
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6186
83.4%
Dash Punctuation 1232
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1270
20.5%
0 1004
16.2%
6 898
14.5%
1 891
14.4%
2 431
 
7.0%
5 383
 
6.2%
7 363
 
5.9%
8 363
 
5.9%
4 314
 
5.1%
9 269
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 1232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7418
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1270
17.1%
- 1232
16.6%
0 1004
13.5%
6 898
12.1%
1 891
12.0%
2 431
 
5.8%
5 383
 
5.2%
7 363
 
4.9%
8 363
 
4.9%
4 314
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1270
17.1%
- 1232
16.6%
0 1004
13.5%
6 898
12.1%
1 891
12.0%
2 431
 
5.8%
5 383
 
5.2%
7 363
 
4.9%
8 363
 
4.9%
4 314
 
4.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2023-01-19 00:00:00
Maximum2023-01-19 00:00:00
2023-12-12T23:17:22.624801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:22.753152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:17:16.997670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T23:17:17.140411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:17:17.273294image/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.
2023-12-12T23:17:17.389743image/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

연번회사명공장대표주소(도로명)공장대표주소(지번)생산품대표번호팩스번호데이터기준일자
01(유)금호산기전라남도 나주시 노안면 노안로 455-21전라남도 나주시 노안면 장동리 597번지수문권양기,제진기,벨트컨베이어 등061-333-1772061-333-17722023-01-19
12(유)농업회사법인 자연과농부들전라남도 나주시 남평읍 평산앞들길 34 외 2필지전라남도 나주시 남평읍 평산리 525-1 번지 외 2필지농산물가공품(나물류)061-331-4982061-333-59822023-01-19
23(유)다온시스전라남도 나주시 왕곡면 혁신산단9길 64전라남도 나주시 왕곡면 덕산리 817-11배전반032-7100-714032-710-07142023-01-19
34(유)덕암산업전라남도 나주시 세지면 동곡송정길 96전라남도 나주시 세지면 동곡리 47-4번지퍼걸러, 조경시설물061-331-7998<NA>2023-01-19
45(유)동원도정산업전라남도 나주시 구진포로 281 (안창동, 동산정미소) 외 4필지전라남도 나주시 안창동 508-9번지 동산정미소 외 4필지압맥, 정맥061-334-5171061-333-51712023-01-19
56(유)삼송이엔시전라남도 나주시 봉황면 봉황농공단지길 118-9전라남도 나주시 봉황면 와우리 1-45전신주 기초대061-334-3700061-334-37012023-01-19
67(유)신화로프전라남도 나주시 노안면 유곡로 280 외 1필지전라남도 나주시 노안면 금동리 37-6 외 1필지보행매트, 식생매트, 코아네트061-335-2301061-335-23022023-01-19
78(유)엠탑코리아전라남도 나주시 동수농공단지길 159-22 (오량동)전라남도 나주시 오량동 317번지시스템유무선원격장치062-531-7807062-531-78082023-01-19
89(유)영진산업전라남도 나주시 봉황면 봉황농공단지길 134-27 (영진산업)전라남도 나주시 봉황면 와우리 1-29번지유기질비료061-331-8824061-331-89952023-01-19
910(유)옵토피아전라남도 나주시 산포면 등수길 89전라남도 나주시 산포면 등수리 482-8번지교통통제용 전기장치061-337-5555061-337-66222023-01-19
연번회사명공장대표주소(도로명)공장대표주소(지번)생산품대표번호팩스번호데이터기준일자
746747현대컨테이너산업전라남도 나주시 건재로 247 (청동)전라남도 나주시 청동 383-1번지컨테이너061-331-0465061-332-04642023-01-19
747748현디자인전라남도 나주시 금천면 금영로 852-10전라남도 나주시 금천면 오강리 52-18번지책,리플렛,워크숍자료,보고서061-334-4561061-334-45642023-01-19
748749형제산업전라남도 나주시 동수농공단지길 99-17 (동수동)전라남도 나주시 동수동 76-22번지고무양동이,플라스틱삽061-335-3044<NA>2023-01-19
749750혜성특장전라남도 나주시 노안면 노안로 313 외 1필지전라남도 나주시 노안면 금동리 211-2 번지 외 1필지진공펌프,밸브061-335-5009<NA>2023-01-19
750751호남계기산업전라남도 나주시 남평읍 다남로 356-71전라남도 나주시 남평읍 상곡리 34번지전기식지시저울061-337-0702061-337-07392023-01-19
751752호일포장전라남도 나주시 동수농공단지길 137-33 (동수동)전라남도 나주시 동수동 340번지골판지상자(박스인쇄등)061-336-6606061-336-66072023-01-19
752753화탑영농조합법인전라남도 나주시 세지면 화탑길 61전라남도 나주시 세지면 송제리 772-21번지사료061-337-2800<NA>2023-01-19
753754황토산업전라남도 나주시 봉황면 황용리 238-32번지전라남도 나주시 봉황면 황용리 238-32번지황토벽돌(굷지않은)061-332-2206061-332-22072023-01-19
754755효원전기전라남도 나주시 동수농공단지길 99-21 (동수동)전라남도 나주시 동수동 76-25번지배전반 등061-336-9991061-336-99922023-01-19
755756효창철망(주)전라남도 나주시 동수농공단지길 160-14 (동수동)전라남도 나주시 동수동 316번지철망061-336-2115061-336-21172023-01-19