Overview

Dataset statistics

Number of variables13
Number of observations10000
Missing cells1444
Missing cells (%)1.1%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory1.1 MiB
Average record size in memory115.0 B

Variable types

Numeric3
Categorical2
Text7
DateTime1

Dataset

Description인천광역시에 등록된 공장의 단지명, 회사명, 최초등록일, 전화번호, 종업원수, 업종번호, 업종명, 생산품 등을 볼 수 있습니다
Author인천광역시
URLhttps://www.data.go.kr/data/3045185/fileData.do

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
단지명 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
시군구 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
순번 is highly overall correlated with 단지명 and 1 other fieldsHigh correlation
전화번호 has 1331 (13.3%) missing valuesMissing
종업원수 has 204 (2.0%) zerosZeros

Reproduction

Analysis started2024-03-30 08:08:23.584259
Analysis finished2024-03-30 08:08:45.801121
Duration22.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION 

Distinct9994
Distinct (%)100.0%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean6933.1305
Minimum3
Maximum13824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-30T08:08:46.091736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile683.65
Q13521.25
median6942.5
Q310381.75
95-th percentile13118.35
Maximum13824
Range13821
Interquartile range (IQR)6860.5

Descriptive statistics

Standard deviation3986.3407
Coefficient of variation (CV)0.57496981
Kurtosis-1.1965188
Mean6933.1305
Median Absolute Deviation (MAD)3431
Skewness-0.0087234978
Sum69289706
Variance15890912
MonotonicityNot monotonic
2024-03-30T08:08:46.690169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
563 1
 
< 0.1%
7973 1
 
< 0.1%
10834 1
 
< 0.1%
11551 1
 
< 0.1%
9419 1
 
< 0.1%
4124 1
 
< 0.1%
11962 1
 
< 0.1%
13516 1
 
< 0.1%
917 1
 
< 0.1%
10925 1
 
< 0.1%
Other values (9984) 9984
99.8%
(Missing) 6
 
0.1%
ValueCountFrequency (%)
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
ValueCountFrequency (%)
13824 1
< 0.1%
13823 1
< 0.1%
13821 1
< 0.1%
13819 1
< 0.1%
13818 1
< 0.1%
13817 1
< 0.1%
13815 1
< 0.1%
13814 1
< 0.1%
13813 1
< 0.1%
13812 1
< 0.1%

단지명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남동국가산업단지
3563 
<NA>
3316 
한국수출산업(부평)국가산업단지
735 
뷰티풀파크
605 
한국수출산업(주안)국가산업단지
595 
Other values (13)
1186 

Length

Max length39
Median length17
Mean length7.7925
Min length4

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row남동국가산업단지
3rd row한국수출산업(주안)국가산업단지
4th row남동국가산업단지
5th row한국수출산업(부평)국가산업단지

Common Values

ValueCountFrequency (%)
남동국가산업단지 3563
35.6%
<NA> 3316
33.2%
한국수출산업(부평)국가산업단지 735
 
7.3%
뷰티풀파크 605
 
6.0%
한국수출산업(주안)국가산업단지 595
 
5.9%
인천일반산업단지 374
 
3.7%
인천서부일반산업단지 178
 
1.8%
인천서운일반산업단지 177
 
1.8%
IHP도시첨단산업단지 168
 
1.7%
인천기계일반산업단지 115
 
1.1%
Other values (8) 174
 
1.7%

Length

2024-03-30T08:08:47.769075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남동국가산업단지 3563
35.5%
na 3316
33.0%
한국수출산업(부평)국가산업단지 735
 
7.3%
뷰티풀파크 605
 
6.0%
한국수출산업(주안)국가산업단지 595
 
5.9%
인천일반산업단지 374
 
3.7%
인천서부일반산업단지 178
 
1.8%
인천서운일반산업단지 177
 
1.8%
ihp도시첨단산업단지 168
 
1.7%
인천기계일반산업단지 115
 
1.1%
Other values (16) 221
 
2.2%

회사명
Text

Distinct9415
Distinct (%)94.2%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-30T08:08:48.680923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length6.9027514
Min length1

Characters and Unicode

Total characters68993
Distinct characters795
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8927 ?
Unique (%)89.3%

Sample

1st row(주)리더팜
2nd row삼라엔지니어링
3rd row에스에이케이랩스
4th row신유메탈
5th rowHS산업
ValueCountFrequency (%)
주식회사 460
 
4.2%
농업회사법인 25
 
0.2%
제2공장 22
 
0.2%
2공장 18
 
0.2%
tech 16
 
0.1%
인천지점 15
 
0.1%
유한회사 13
 
0.1%
인천공장 9
 
0.1%
ltd 7
 
0.1%
co 7
 
0.1%
Other values (9527) 10251
94.5%
2024-03-30T08:08:50.215099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5917
 
8.6%
) 5414
 
7.8%
( 5413
 
7.8%
이 2536
 
3.7%
스 2065
 
3.0%
에 1274
 
1.8%
크 1081
 
1.6%
업 1021
 
1.5%
테 965
 
1.4%
아 890
 
1.3%
Other values (785) 42417
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55405
80.3%
Close Punctuation 5414
 
7.8%
Open Punctuation 5413
 
7.8%
Uppercase Letter 1268
 
1.8%
Space Separator 874
 
1.3%
Lowercase Letter 181
 
0.3%
Decimal Number 158
 
0.2%
Other Punctuation 138
 
0.2%
Other Symbol 114
 
0.2%
Dash Punctuation 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5917
 
10.7%
이 2536
 
4.6%
스 2065
 
3.7%
에 1274
 
2.3%
크 1081
 
2.0%
업 1021
 
1.8%
테 965
 
1.7%
아 890
 
1.6%
지 815
 
1.5%
사 802
 
1.4%
Other values (715) 38039
68.7%
Uppercase Letter
ValueCountFrequency (%)
E 133
 
10.5%
C 113
 
8.9%
T 107
 
8.4%
S 104
 
8.2%
N 92
 
7.3%
M 77
 
6.1%
G 73
 
5.8%
H 58
 
4.6%
D 56
 
4.4%
I 46
 
3.6%
Other values (16) 409
32.3%
Lowercase Letter
ValueCountFrequency (%)
e 28
15.5%
o 20
11.0%
c 18
9.9%
t 14
 
7.7%
a 12
 
6.6%
n 11
 
6.1%
i 10
 
5.5%
h 10
 
5.5%
s 8
 
4.4%
l 8
 
4.4%
Other values (13) 42
23.2%
Decimal Number
ValueCountFrequency (%)
2 80
50.6%
1 31
 
19.6%
3 16
 
10.1%
0 8
 
5.1%
6 5
 
3.2%
8 5
 
3.2%
7 5
 
3.2%
5 4
 
2.5%
4 3
 
1.9%
9 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 90
65.2%
& 36
 
26.1%
, 10
 
7.2%
/ 1
 
0.7%
' 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 5414
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5413
100.0%
Space Separator
ValueCountFrequency (%)
874
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55517
80.5%
Common 12025
 
17.4%
Latin 1449
 
2.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5917
 
10.7%
이 2536
 
4.6%
스 2065
 
3.7%
에 1274
 
2.3%
크 1081
 
1.9%
업 1021
 
1.8%
테 965
 
1.7%
아 890
 
1.6%
지 815
 
1.5%
사 802
 
1.4%
Other values (714) 38151
68.7%
Latin
ValueCountFrequency (%)
E 133
 
9.2%
C 113
 
7.8%
T 107
 
7.4%
S 104
 
7.2%
N 92
 
6.3%
M 77
 
5.3%
G 73
 
5.0%
H 58
 
4.0%
D 56
 
3.9%
I 46
 
3.2%
Other values (39) 590
40.7%
Common
ValueCountFrequency (%)
) 5414
45.0%
( 5413
45.0%
874
 
7.3%
. 90
 
0.7%
2 80
 
0.7%
& 36
 
0.3%
1 31
 
0.3%
- 27
 
0.2%
3 16
 
0.1%
, 10
 
0.1%
Other values (10) 34
 
0.3%
Han
ValueCountFrequency (%)
李 1
50.0%
建 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55403
80.3%
ASCII 13474
 
19.5%
None 114
 
0.2%
CJK Compat Ideographs 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5917
 
10.7%
이 2536
 
4.6%
스 2065
 
3.7%
에 1274
 
2.3%
크 1081
 
2.0%
업 1021
 
1.8%
테 965
 
1.7%
아 890
 
1.6%
지 815
 
1.5%
사 802
 
1.4%
Other values (713) 38037
68.7%
ASCII
ValueCountFrequency (%)
) 5414
40.2%
( 5413
40.2%
874
 
6.5%
E 133
 
1.0%
C 113
 
0.8%
T 107
 
0.8%
S 104
 
0.8%
N 92
 
0.7%
. 90
 
0.7%
2 80
 
0.6%
Other values (59) 1054
 
7.8%
None
ValueCountFrequency (%)
㈜ 114
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
CJK
ValueCountFrequency (%)
建 1
100.0%

시군구
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남동구
3934 
서구
2971 
부평구
1202 
미추홀구
749 
계양구
441 
Other values (7)
703 

Length

Max length10
Median length3
Mean length2.7535
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row부평구
2nd row남동구
3rd row서구
4th row남동구
5th row부평구

Common Values

ValueCountFrequency (%)
남동구 3934
39.3%
서구 2971
29.7%
부평구 1202
 
12.0%
미추홀구 749
 
7.5%
계양구 441
 
4.4%
연수구 247
 
2.5%
강화군 175
 
1.8%
동구 165
 
1.7%
중구 90
 
0.9%
옹진군 20
 
0.2%
Other values (2) 6
 
0.1%

Length

2024-03-30T08:08:50.859759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남동구 3934
39.3%
서구 2971
29.7%
부평구 1202
 
12.0%
미추홀구 749
 
7.5%
계양구 441
 
4.4%
연수구 247
 
2.5%
강화군 175
 
1.8%
동구 165
 
1.7%
중구 90
 
0.9%
옹진군 20
 
0.2%
Other values (2) 6
 
0.1%

공장대표주소(도로명)
Text

Distinct9127
Distinct (%)91.5%
Missing27
Missing (%)0.3%
Memory size156.2 KiB
2024-03-30T08:08:51.779679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length67
Mean length33.486514
Min length5

Characters and Unicode

Total characters333961
Distinct characters512
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8500 ?
Unique (%)85.2%

Sample

1st row인천광역시 부평구 백범로577번길 15-17 (십정동) 3층
2nd row인천광역시 남동구 남동대로36번길 49(고잔동)
3rd row인천광역시 서구 가재울로 109 (가좌동) -동 -층 508호
4th row인천광역시 남동구 남동대로 284, 44블럭 10로트 라동 204호 (논현동)
5th row인천광역시 부평구 부평대로 283, C동 3층 310C (청천동, 부평 우림라이온스밸리)
ValueCountFrequency (%)
인천광역시 9972
 
15.7%
남동구 3929
 
6.2%
서구 2964
 
4.7%
고잔동 2416
 
3.8%
부평구 1201
 
1.9%
가좌동 867
 
1.4%
미추홀구 742
 
1.2%
청천동 684
 
1.1%
외 583
 
0.9%
오류동 564
 
0.9%
Other values (6653) 39637
62.4%
2024-03-30T08:08:53.005406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53677
 
16.1%
동 17391
 
5.2%
1 13071
 
3.9%
로 11715
 
3.5%
천 11337
 
3.4%
구 10471
 
3.1%
인 10300
 
3.1%
) 10204
 
3.1%
( 10203
 
3.1%
광 10116
 
3.0%
Other values (502) 175476
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188231
56.4%
Decimal Number 60558
 
18.1%
Space Separator 53677
 
16.1%
Close Punctuation 10278
 
3.1%
Open Punctuation 10278
 
3.1%
Other Punctuation 7533
 
2.3%
Dash Punctuation 1767
 
0.5%
Uppercase Letter 1502
 
0.4%
Lowercase Letter 65
 
< 0.1%
Math Symbol 60
 
< 0.1%
Other values (2) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 17391
 
9.2%
로 11715
 
6.2%
천 11337
 
6.0%
구 10471
 
5.6%
인 10300
 
5.5%
광 10116
 
5.4%
시 10044
 
5.3%
역 9976
 
5.3%
남 6338
 
3.4%
길 4870
 
2.6%
Other values (438) 85673
45.5%
Uppercase Letter
ValueCountFrequency (%)
B 593
39.5%
C 211
 
14.0%
A 179
 
11.9%
D 75
 
5.0%
L 68
 
4.5%
I 67
 
4.5%
N 42
 
2.8%
E 37
 
2.5%
R 36
 
2.4%
T 34
 
2.3%
Other values (14) 160
 
10.7%
Lowercase Letter
ValueCountFrequency (%)
c 14
21.5%
e 10
15.4%
o 8
12.3%
b 7
10.8%
r 7
10.8%
w 6
9.2%
h 3
 
4.6%
n 2
 
3.1%
i 2
 
3.1%
l 1
 
1.5%
Other values (5) 5
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 13071
21.6%
2 7764
12.8%
3 7621
12.6%
4 5739
9.5%
0 5272
8.7%
5 5180
 
8.6%
6 4234
 
7.0%
7 4097
 
6.8%
8 3960
 
6.5%
9 3620
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 7481
99.3%
. 18
 
0.2%
& 12
 
0.2%
: 10
 
0.1%
/ 9
 
0.1%
· 3
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 10204
99.3%
] 74
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 10203
99.3%
[ 75
 
0.7%
Space Separator
ValueCountFrequency (%)
53677
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1767
100.0%
Math Symbol
ValueCountFrequency (%)
~ 60
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188239
56.4%
Common 144151
43.2%
Latin 1571
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 17391
 
9.2%
로 11715
 
6.2%
천 11337
 
6.0%
구 10471
 
5.6%
인 10300
 
5.5%
광 10116
 
5.4%
시 10044
 
5.3%
역 9976
 
5.3%
남 6338
 
3.4%
길 4870
 
2.6%
Other values (439) 85681
45.5%
Latin
ValueCountFrequency (%)
B 593
37.7%
C 211
 
13.4%
A 179
 
11.4%
D 75
 
4.8%
L 68
 
4.3%
I 67
 
4.3%
N 42
 
2.7%
E 37
 
2.4%
R 36
 
2.3%
T 34
 
2.2%
Other values (30) 229
 
14.6%
Common
ValueCountFrequency (%)
53677
37.2%
1 13071
 
9.1%
) 10204
 
7.1%
( 10203
 
7.1%
2 7764
 
5.4%
3 7621
 
5.3%
, 7481
 
5.2%
4 5739
 
4.0%
0 5272
 
3.7%
5 5180
 
3.6%
Other values (13) 17939
 
12.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188231
56.4%
ASCII 145715
43.6%
None 11
 
< 0.1%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53677
36.8%
1 13071
 
9.0%
) 10204
 
7.0%
( 10203
 
7.0%
2 7764
 
5.3%
3 7621
 
5.2%
, 7481
 
5.1%
4 5739
 
3.9%
0 5272
 
3.6%
5 5180
 
3.6%
Other values (51) 19503
 
13.4%
Hangul
ValueCountFrequency (%)
동 17391
 
9.2%
로 11715
 
6.2%
천 11337
 
6.0%
구 10471
 
5.6%
인 10300
 
5.5%
광 10116
 
5.4%
시 10044
 
5.3%
역 9976
 
5.3%
남 6338
 
3.4%
길 4870
 
2.6%
Other values (438) 85673
45.5%
None
ValueCountFrequency (%)
㈜ 8
72.7%
· 3
 
27.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%

공장대표주소(지번)
Text

Distinct8792
Distinct (%)88.0%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2024-03-30T08:08:53.644025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length67
Mean length26.225158
Min length5

Characters and Unicode

Total characters262068
Distinct characters446
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8092 ?
Unique (%)81.0%

Sample

1st row인천광역시 부평구 십정동 557-37
2nd row인천광역시 남동구 고잔동 715-11
3rd row인천광역시 서구 가좌동 524-8
4th row인천광역시 남동구 논현동 434-10번지 44블럭 10로트 라동 204호
5th row인천광역시 부평구 청천동 425번지 부평 우림라이온스밸리 C동 3층 310C
ValueCountFrequency (%)
인천광역시 9981
 
19.5%
남동구 3929
 
7.7%
서구 2969
 
5.8%
고잔동 2774
 
5.4%
부평구 1201
 
2.4%
가좌동 961
 
1.9%
청천동 901
 
1.8%
오류동 732
 
1.4%
미추홀구 728
 
1.4%
논현동 535
 
1.0%
Other values (8193) 26388
51.6%
2024-03-30T08:08:54.776268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41358
 
15.8%
동 15269
 
5.8%
1 11561
 
4.4%
천 11078
 
4.2%
인 10218
 
3.9%
광 10093
 
3.9%
시 10065
 
3.8%
역 9987
 
3.8%
구 9894
 
3.8%
- 9325
 
3.6%
Other values (436) 123220
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148368
56.6%
Decimal Number 59986
22.9%
Space Separator 41358
 
15.8%
Dash Punctuation 9325
 
3.6%
Uppercase Letter 1249
 
0.5%
Other Punctuation 698
 
0.3%
Open Punctuation 489
 
0.2%
Close Punctuation 488
 
0.2%
Lowercase Letter 52
 
< 0.1%
Math Symbol 49
 
< 0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 15269
 
10.3%
천 11078
 
7.5%
인 10218
 
6.9%
광 10093
 
6.8%
시 10065
 
6.8%
역 9987
 
6.7%
구 9894
 
6.7%
지 7631
 
5.1%
번 7035
 
4.7%
남 4924
 
3.3%
Other values (373) 52174
35.2%
Uppercase Letter
ValueCountFrequency (%)
B 493
39.5%
C 173
 
13.9%
A 142
 
11.4%
I 64
 
5.1%
D 62
 
5.0%
L 57
 
4.6%
N 41
 
3.3%
R 33
 
2.6%
T 30
 
2.4%
J 25
 
2.0%
Other values (14) 129
 
10.3%
Lowercase Letter
ValueCountFrequency (%)
c 11
21.2%
e 8
15.4%
o 7
13.5%
r 6
11.5%
w 6
11.5%
b 5
9.6%
n 2
 
3.8%
l 1
 
1.9%
a 1
 
1.9%
i 1
 
1.9%
Other values (4) 4
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 11561
19.3%
2 8152
13.6%
6 6985
11.6%
4 6362
10.6%
3 6152
10.3%
5 4950
8.3%
0 4849
8.1%
7 4702
7.8%
8 3488
 
5.8%
9 2785
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 663
95.0%
. 12
 
1.7%
& 9
 
1.3%
/ 7
 
1.0%
: 4
 
0.6%
· 3
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 436
89.2%
[ 53
 
10.8%
Close Punctuation
ValueCountFrequency (%)
) 436
89.3%
] 52
 
10.7%
Space Separator
ValueCountFrequency (%)
41358
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9325
100.0%
Math Symbol
ValueCountFrequency (%)
~ 49
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148369
56.6%
Common 112393
42.9%
Latin 1306
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 15269
 
10.3%
천 11078
 
7.5%
인 10218
 
6.9%
광 10093
 
6.8%
시 10065
 
6.8%
역 9987
 
6.7%
구 9894
 
6.7%
지 7631
 
5.1%
번 7035
 
4.7%
남 4924
 
3.3%
Other values (374) 52175
35.2%
Latin
ValueCountFrequency (%)
B 493
37.7%
C 173
 
13.2%
A 142
 
10.9%
I 64
 
4.9%
D 62
 
4.7%
L 57
 
4.4%
N 41
 
3.1%
R 33
 
2.5%
T 30
 
2.3%
J 25
 
1.9%
Other values (29) 186
 
14.2%
Common
ValueCountFrequency (%)
41358
36.8%
1 11561
 
10.3%
- 9325
 
8.3%
2 8152
 
7.3%
6 6985
 
6.2%
4 6362
 
5.7%
3 6152
 
5.5%
5 4950
 
4.4%
0 4849
 
4.3%
7 4702
 
4.2%
Other values (13) 7997
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148368
56.6%
ASCII 113691
43.4%
Number Forms 5
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41358
36.4%
1 11561
 
10.2%
- 9325
 
8.2%
2 8152
 
7.2%
6 6985
 
6.1%
4 6362
 
5.6%
3 6152
 
5.4%
5 4950
 
4.4%
0 4849
 
4.3%
7 4702
 
4.1%
Other values (50) 9295
 
8.2%
Hangul
ValueCountFrequency (%)
동 15269
 
10.3%
천 11078
 
7.5%
인 10218
 
6.9%
광 10093
 
6.8%
시 10065
 
6.8%
역 9987
 
6.7%
구 9894
 
6.7%
지 7631
 
5.1%
번 7035
 
4.7%
남 4924
 
3.3%
Other values (373) 52174
35.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
100.0%
None
ValueCountFrequency (%)
· 3
75.0%
㈜ 1
 
25.0%

전화번호
Text

MISSING 

Distinct8131
Distinct (%)93.8%
Missing1331
Missing (%)13.3%
Memory size156.2 KiB
2024-03-30T08:08:55.277671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.03253
Min length2

Characters and Unicode

Total characters104310
Distinct characters22
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7650 ?
Unique (%)88.2%

Sample

1st row032-576-2588
2nd row032-812-8837
3rd row032-811-2651
4th row032-623-5236
5th row031-433-8673
ValueCountFrequency (%)
032-814-2327 5
 
0.1%
032-814-3104 4
 
< 0.1%
032-563-2700 4
 
< 0.1%
032-438-5072 4
 
< 0.1%
032-810-0000 4
 
< 0.1%
032-822-2290 4
 
< 0.1%
032-812-3061 4
 
< 0.1%
032-770-3022 3
 
< 0.1%
032-566-8980 3
 
< 0.1%
032-811-8393 3
 
< 0.1%
Other values (8122) 8632
99.6%
2024-03-30T08:08:56.665935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 17284
16.6%
0 14870
14.3%
2 14055
13.5%
3 12949
12.4%
1 8262
7.9%
5 7909
7.6%
8 7679
7.4%
7 6741
 
6.5%
6 5718
 
5.5%
4 5239
 
5.0%
Other values (12) 3604
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 86940
83.3%
Dash Punctuation 17284
 
16.6%
Uppercase Letter 78
 
0.1%
Other Letter 6
 
< 0.1%
Space Separator 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14870
17.1%
2 14055
16.2%
3 12949
14.9%
1 8262
9.5%
5 7909
9.1%
8 7679
8.8%
7 6741
7.8%
6 5718
 
6.6%
4 5239
 
6.0%
9 3518
 
4.0%
Other Letter
ValueCountFrequency (%)
변 1
16.7%
압 1
16.7%
기 1
16.7%
제 1
16.7%
조 1
16.7%
업 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
S 26
33.3%
A 26
33.3%
R 26
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 17284
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 104226
99.9%
Latin 78
 
0.1%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 17284
16.6%
0 14870
14.3%
2 14055
13.5%
3 12949
12.4%
1 8262
7.9%
5 7909
7.6%
8 7679
7.4%
7 6741
 
6.5%
6 5718
 
5.5%
4 5239
 
5.0%
Other values (3) 3520
 
3.4%
Hangul
ValueCountFrequency (%)
변 1
16.7%
압 1
16.7%
기 1
16.7%
제 1
16.7%
조 1
16.7%
업 1
16.7%
Latin
ValueCountFrequency (%)
S 26
33.3%
A 26
33.3%
R 26
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 104304
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 17284
16.6%
0 14870
14.3%
2 14055
13.5%
3 12949
12.4%
1 8262
7.9%
5 7909
7.6%
8 7679
7.4%
7 6741
 
6.5%
6 5718
 
5.5%
4 5239
 
5.0%
Other values (6) 3598
 
3.4%
Hangul
ValueCountFrequency (%)
변 1
16.7%
압 1
16.7%
기 1
16.7%
제 1
16.7%
조 1
16.7%
업 1
16.7%

종업원수
Real number (ℝ)

ZEROS 

Distinct209
Distinct (%)2.1%
Missing7
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean15.17072
Minimum0
Maximum1840
Zeros204
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-30T08:08:57.239459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q314
95-th percentile48
Maximum1840
Range1840
Interquartile range (IQR)11

Descriptive statistics

Standard deviation46.375202
Coefficient of variation (CV)3.0568888
Kurtosis573.8809
Mean15.17072
Median Absolute Deviation (MAD)4
Skewness19.647772
Sum151601
Variance2150.6594
MonotonicityNot monotonic
2024-03-30T08:08:57.993042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 991
 
9.9%
3 924
 
9.2%
4 862
 
8.6%
1 860
 
8.6%
5 713
 
7.1%
6 543
 
5.4%
8 464
 
4.6%
7 424
 
4.2%
10 416
 
4.2%
9 307
 
3.1%
Other values (199) 3489
34.9%
ValueCountFrequency (%)
0 204
 
2.0%
1 860
8.6%
2 991
9.9%
3 924
9.2%
4 862
8.6%
5 713
7.1%
6 543
5.4%
7 424
4.2%
8 464
4.6%
9 307
 
3.1%
ValueCountFrequency (%)
1840 1
< 0.1%
1670 1
< 0.1%
1293 1
< 0.1%
1123 1
< 0.1%
1005 1
< 0.1%
992 1
< 0.1%
840 1
< 0.1%
830 1
< 0.1%
688 1
< 0.1%
648 1
< 0.1%

최초등록일
Date

Distinct4534
Distinct (%)45.4%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
Minimum1954-07-07 00:00:00
Maximum2024-02-29 00:00:00
2024-03-30T08:08:58.778050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:08:59.816018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대표업종번호
Real number (ℝ)

Distinct433
Distinct (%)4.3%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean25433.404
Minimum10112
Maximum75994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-30T08:09:00.261637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10112
5-th percentile13221
Q124121
median26222
Q329162
95-th percentile32021
Maximum75994
Range65882
Interquartile range (IQR)5041

Descriptive statistics

Standard deviation5787.65
Coefficient of variation (CV)0.22756096
Kurtosis8.4381991
Mean25433.404
Median Absolute Deviation (MAD)2920
Skewness0.097961736
Sum2.5405428 × 108
Variance33496893
MonotonicityNot monotonic
2024-03-30T08:09:00.921972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25924 449
 
4.5%
29294 409
 
4.1%
25922 291
 
2.9%
28123 270
 
2.7%
26299 216
 
2.2%
25929 211
 
2.1%
20423 194
 
1.9%
28422 170
 
1.7%
29299 133
 
1.3%
30399 132
 
1.3%
Other values (423) 7514
75.1%
ValueCountFrequency (%)
10112 1
 
< 0.1%
10121 13
 
0.1%
10122 18
 
0.2%
10129 48
0.5%
10211 9
 
0.1%
10212 12
 
0.1%
10213 13
 
0.1%
10219 22
0.2%
10220 11
 
0.1%
10301 23
0.2%
ValueCountFrequency (%)
75994 1
 
< 0.1%
70129 1
 
< 0.1%
68119 1
 
< 0.1%
68112 22
0.2%
58222 2
 
< 0.1%
58219 1
 
< 0.1%
58190 1
 
< 0.1%
58121 1
 
< 0.1%
52109 1
 
< 0.1%
42312 1
 
< 0.1%

업종번호
Text

Distinct2570
Distinct (%)25.7%
Missing11
Missing (%)0.1%
Memory size156.2 KiB
2024-03-30T08:09:01.897989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length299
Median length5
Mean length10.646811
Min length5

Characters and Unicode

Total characters106351
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1908 ?
Unique (%)19.1%

Sample

1st row10122
2nd row29150, 29299
3rd row20499
4th row25922
5th row28121, 28122
ValueCountFrequency (%)
29294 511
 
2.8%
25924 501
 
2.8%
28123 363
 
2.0%
25922 318
 
1.8%
25929 314
 
1.7%
26299 291
 
1.6%
28422 262
 
1.5%
25999 236
 
1.3%
29299 226
 
1.3%
30399 205
 
1.1%
Other values (490) 14820
82.1%
2024-03-30T08:09:03.679284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 28761
27.0%
1 15312
14.4%
9 15288
14.4%
, 8058
 
7.6%
8058
 
7.6%
3 7888
 
7.4%
0 5444
 
5.1%
4 5435
 
5.1%
5 4758
 
4.5%
6 2872
 
2.7%
Other values (2) 4477
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90235
84.8%
Other Punctuation 8058
 
7.6%
Space Separator 8058
 
7.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 28761
31.9%
1 15312
17.0%
9 15288
16.9%
3 7888
 
8.7%
0 5444
 
6.0%
4 5435
 
6.0%
5 4758
 
5.3%
6 2872
 
3.2%
8 2524
 
2.8%
7 1953
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 8058
100.0%
Space Separator
ValueCountFrequency (%)
8058
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106351
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 28761
27.0%
1 15312
14.4%
9 15288
14.4%
, 8058
 
7.6%
8058
 
7.6%
3 7888
 
7.4%
0 5444
 
5.1%
4 5435
 
5.1%
5 4758
 
4.5%
6 2872
 
2.7%
Other values (2) 4477
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106351
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 28761
27.0%
1 15312
14.4%
9 15288
14.4%
, 8058
 
7.6%
8058
 
7.6%
3 7888
 
7.4%
0 5444
 
5.1%
4 5435
 
5.1%
5 4758
 
4.5%
6 2872
 
2.7%
Other values (2) 4477
 
4.2%

업종명
Text

Distinct1422
Distinct (%)14.2%
Missing11
Missing (%)0.1%
Memory size156.2 KiB
2024-03-30T08:09:04.214912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length16.264491
Min length3

Characters and Unicode

Total characters162466
Distinct characters351
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

Unique608 ?
Unique (%)6.1%

Sample

1st row육류 포장육 및 냉동육 가공업 (가금류 제외)
2nd row산업용 오븐, 노 및 노용 버너 제조업 외 1 종
3rd row그 외 기타 분류 안된 화학제품 제조업
4th row도금업
5th row전기회로 개폐, 보호장치 제조업 외 1 종
ValueCountFrequency (%)
제조업 8345
 
16.0%
외 5057
 
9.7%
및 3975
 
7.6%
종 3603
 
6.9%
기타 2678
 
5.1%
1 2049
 
3.9%
그 1454
 
2.8%
금속 791
 
1.5%
2 672
 
1.3%
전기 534
 
1.0%
Other values (741) 23067
44.2%
2024-03-30T08:09:05.278425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42240
26.0%
제 10707
 
6.6%
업 10327
 
6.4%
조 9468
 
5.8%
기 6825
 
4.2%
외 5137
 
3.2%
및 3975
 
2.4%
종 3678
 
2.3%
용 2758
 
1.7%
품 2726
 
1.7%
Other values (341) 64625
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115321
71.0%
Space Separator 42240
 
26.0%
Decimal Number 3741
 
2.3%
Other Punctuation 1032
 
0.6%
Open Punctuation 66
 
< 0.1%
Close Punctuation 66
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 10707
 
9.3%
업 10327
 
9.0%
조 9468
 
8.2%
기 6825
 
5.9%
외 5137
 
4.5%
및 3975
 
3.4%
종 3678
 
3.2%
용 2758
 
2.4%
품 2726
 
2.4%
타 2691
 
2.3%
Other values (326) 57029
49.5%
Decimal Number
ValueCountFrequency (%)
1 2186
58.4%
2 700
 
18.7%
3 364
 
9.7%
4 171
 
4.6%
5 127
 
3.4%
6 85
 
2.3%
7 41
 
1.1%
9 28
 
0.7%
8 27
 
0.7%
0 12
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 981
95.1%
. 51
 
4.9%
Space Separator
ValueCountFrequency (%)
42240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115321
71.0%
Common 47145
29.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 10707
 
9.3%
업 10327
 
9.0%
조 9468
 
8.2%
기 6825
 
5.9%
외 5137
 
4.5%
및 3975
 
3.4%
종 3678
 
3.2%
용 2758
 
2.4%
품 2726
 
2.4%
타 2691
 
2.3%
Other values (326) 57029
49.5%
Common
ValueCountFrequency (%)
42240
89.6%
1 2186
 
4.6%
, 981
 
2.1%
2 700
 
1.5%
3 364
 
0.8%
4 171
 
0.4%
5 127
 
0.3%
6 85
 
0.2%
( 66
 
0.1%
) 66
 
0.1%
Other values (5) 159
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115293
71.0%
ASCII 47145
29.0%
Compat Jamo 28
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42240
89.6%
1 2186
 
4.6%
, 981
 
2.1%
2 700
 
1.5%
3 364
 
0.8%
4 171
 
0.4%
5 127
 
0.3%
6 85
 
0.2%
( 66
 
0.1%
) 66
 
0.1%
Other values (5) 159
 
0.3%
Hangul
ValueCountFrequency (%)
제 10707
 
9.3%
업 10327
 
9.0%
조 9468
 
8.2%
기 6825
 
5.9%
외 5137
 
4.5%
및 3975
 
3.4%
종 3678
 
3.2%
용 2758
 
2.4%
품 2726
 
2.4%
타 2691
 
2.3%
Other values (325) 57001
49.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 28
100.0%

생산품
Text

Distinct7580
Distinct (%)76.0%
Missing21
Missing (%)0.2%
Memory size156.2 KiB
2024-03-30T08:09:05.925412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length66
Mean length8.9599158
Min length1

Characters and Unicode

Total characters89411
Distinct characters882
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6901 ?
Unique (%)69.2%

Sample

1st row축산물
2nd row산업용 로 등
3rd row코팅액
4th row통신부품
5th row전기회로
ValueCountFrequency (%)
등 560
 
2.9%
및 466
 
2.4%
부품 354
 
1.9%
금형 271
 
1.4%
외 244
 
1.3%
자동차부품 172
 
0.9%
전자부품 157
 
0.8%
자동차 147
 
0.8%
화장품 143
 
0.8%
플라스틱 133
 
0.7%
Other values (8191) 16394
86.1%
2024-03-30T08:09:07.184251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9159
 
10.2%
, 4330
 
4.8%
기 4029
 
4.5%
품 2695
 
3.0%
부 1795
 
2.0%
자 1600
 
1.8%
장 1496
 
1.7%
스 1470
 
1.6%
전 1370
 
1.5%
용 1364
 
1.5%
Other values (872) 60103
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69891
78.2%
Space Separator 9159
 
10.2%
Other Punctuation 4466
 
5.0%
Uppercase Letter 3343
 
3.7%
Lowercase Letter 1341
 
1.5%
Open Punctuation 549
 
0.6%
Close Punctuation 548
 
0.6%
Decimal Number 86
 
0.1%
Dash Punctuation 23
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4029
 
5.8%
품 2695
 
3.9%
부 1795
 
2.6%
자 1600
 
2.3%
장 1496
 
2.1%
스 1470
 
2.1%
전 1370
 
2.0%
용 1364
 
2.0%
제 1270
 
1.8%
금 1121
 
1.6%
Other values (795) 51681
73.9%
Uppercase Letter
ValueCountFrequency (%)
C 443
13.3%
E 367
11.0%
D 347
10.4%
L 339
10.1%
P 257
 
7.7%
T 194
 
5.8%
S 170
 
5.1%
A 164
 
4.9%
B 155
 
4.6%
V 146
 
4.4%
Other values (16) 761
22.8%
Lowercase Letter
ValueCountFrequency (%)
e 176
13.1%
a 103
 
7.7%
t 101
 
7.5%
r 101
 
7.5%
o 100
 
7.5%
l 94
 
7.0%
n 87
 
6.5%
i 87
 
6.5%
s 83
 
6.2%
c 71
 
5.3%
Other values (14) 338
25.2%
Decimal Number
ValueCountFrequency (%)
3 21
24.4%
1 15
17.4%
2 14
16.3%
0 10
11.6%
9 7
 
8.1%
5 6
 
7.0%
4 6
 
7.0%
6 5
 
5.8%
7 1
 
1.2%
8 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 4330
97.0%
. 58
 
1.3%
/ 55
 
1.2%
& 8
 
0.2%
' 8
 
0.2%
· 3
 
0.1%
% 2
 
< 0.1%
？ 1
 
< 0.1%
: 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
> 1
33.3%
< 1
33.3%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
9159
100.0%
Open Punctuation
ValueCountFrequency (%)
( 549
100.0%
Close Punctuation
ValueCountFrequency (%)
) 548
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69888
78.2%
Common 14836
 
16.6%
Latin 4684
 
5.2%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4029
 
5.8%
품 2695
 
3.9%
부 1795
 
2.6%
자 1600
 
2.3%
장 1496
 
2.1%
스 1470
 
2.1%
전 1370
 
2.0%
용 1364
 
2.0%
제 1270
 
1.8%
금 1121
 
1.6%
Other values (793) 51678
73.9%
Latin
ValueCountFrequency (%)
C 443
 
9.5%
E 367
 
7.8%
D 347
 
7.4%
L 339
 
7.2%
P 257
 
5.5%
T 194
 
4.1%
e 176
 
3.8%
S 170
 
3.6%
A 164
 
3.5%
B 155
 
3.3%
Other values (40) 2072
44.2%
Common
ValueCountFrequency (%)
9159
61.7%
, 4330
29.2%
( 549
 
3.7%
) 548
 
3.7%
. 58
 
0.4%
/ 55
 
0.4%
- 23
 
0.2%
3 21
 
0.1%
1 15
 
0.1%
2 14
 
0.1%
Other values (17) 64
 
0.4%
Han
ValueCountFrequency (%)
外 2
66.7%
茶 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69887
78.2%
ASCII 19516
 
21.8%
None 4
 
< 0.1%
CJK 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9159
46.9%
, 4330
22.2%
( 549
 
2.8%
) 548
 
2.8%
C 443
 
2.3%
E 367
 
1.9%
D 347
 
1.8%
L 339
 
1.7%
P 257
 
1.3%
T 194
 
1.0%
Other values (65) 2983
 
15.3%
Hangul
ValueCountFrequency (%)
기 4029
 
5.8%
품 2695
 
3.9%
부 1795
 
2.6%
자 1600
 
2.3%
장 1496
 
2.1%
스 1470
 
2.1%
전 1370
 
2.0%
용 1364
 
2.0%
제 1270
 
1.8%
금 1121
 
1.6%
Other values (792) 51677
73.9%
None
ValueCountFrequency (%)
· 3
75.0%
？ 1
 
25.0%
CJK
ValueCountFrequency (%)
外 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%

Interactions

2024-03-30T08:08:41.878626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:08:39.850088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:08:40.839117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:08:42.294814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:08:40.173454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:08:41.153780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:08:42.688123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:08:40.514470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:08:41.565903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-30T08:09:07.525233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번단지명시군구종업원수대표업종번호
순번1.0000.8910.9300.0360.139
단지명0.8911.0000.9870.1620.268
시군구0.9300.9871.0000.1470.168
종업원수0.0360.1620.1471.0000.000
대표업종번호0.1390.2680.1680.0001.000
2024-03-30T08:09:07.816257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명시군구
단지명1.0000.945
시군구0.9451.000
2024-03-30T08:09:08.066992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수대표업종번호단지명시군구
순번1.0000.003-0.0050.6380.566
종업원수0.0031.000-0.0650.0800.067
대표업종번호-0.005-0.0651.0000.1160.077
단지명0.6380.0800.1161.0000.945
시군구0.5660.0670.0770.9451.000

Missing values

2024-03-30T08:08:43.286968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T08:08:44.412098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-30T08:08:45.245059image/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

순번단지명회사명시군구공장대표주소(도로명)공장대표주소(지번)전화번호종업원수최초등록일대표업종번호업종번호업종명생산품
87538748<NA>(주)리더팜부평구인천광역시 부평구 백범로577번길 15-17 (십정동) 3층인천광역시 부평구 십정동 557-37032-576-258862021-02-051012210122육류 포장육 및 냉동육 가공업 (가금류 제외)축산물
38293830남동국가산업단지삼라엔지니어링남동구인천광역시 남동구 남동대로36번길 49(고잔동)인천광역시 남동구 고잔동 715-11032-812-883712009-11-112915029150, 29299산업용 오븐, 노 및 노용 버너 제조업 외 1 종산업용 로 등
1116311155한국수출산업(주안)국가산업단지에스에이케이랩스서구인천광역시 서구 가재울로 109 (가좌동) -동 -층 508호인천광역시 서구 가좌동 524-8<NA>12020-09-162049920499그 외 기타 분류 안된 화학제품 제조업코팅액
42154216남동국가산업단지신유메탈남동구인천광역시 남동구 남동대로 284, 44블럭 10로트 라동 204호 (논현동)인천광역시 남동구 논현동 434-10번지 44블럭 10로트 라동 204호032-811-265152010-03-312592225922도금업통신부품
80048000한국수출산업(부평)국가산업단지HS산업부평구인천광역시 부평구 부평대로 283, C동 3층 310C (청천동, 부평 우림라이온스밸리)인천광역시 부평구 청천동 425번지 부평 우림라이온스밸리 C동 3층 310C032-623-5236102015-07-092812128121, 28122전기회로 개폐, 보호장치 제조업 외 1 종전기회로
98999891뷰티풀파크(주)형제제판서구인천광역시 서구 도담2로 7 (오류동)인천광역시 서구 오류동 1626-7번지031-433-8673422016-12-122592925929그 외 기타 금속가공업제판롤
70147012한국수출산업(주안)국가산업단지(주)제이에스이앤씨미추홀구인천광역시 미추홀구 방축로 312, 주안제이타워2차 626호 (주안동)인천광역시 미추홀구 주안동 1385-10번지 주안제이타워2차 626호032-876-610052019-05-302812328123배전반 및 전기 자동제어반 제조업배전반
1005610048뷰티풀파크보화방화문서구인천광역시 서구 도담로 38(오류동)인천광역시 서구 오류동 1621-5032-562-344872011-03-152511125111금속 문, 창, 셔터 및 관련제품 제조업방화문
932933남동국가산업단지(주)그린푸드남동구인천광역시 남동구 은봉로105번길 44-30, 48블록 6로트 (논현동)인천광역시 남동구 논현동 438-5번지 48블록 6로트032-814-0277402019-07-051075910759기타 식사용 가공처리 조리식품 제조업식재료 가공
1279712789<NA>영진툴링(주)서구인천광역시 서구 길주로 22 (석남동)인천광역시 서구 석남동 222-76번지032-579-7511152018-08-222593425934톱 및 호환성 공구 제조업앤드밀,드릴,버니싱공구
순번단지명회사명시군구공장대표주소(도로명)공장대표주소(지번)전화번호종업원수최초등록일대표업종번호업종번호업종명생산품
90439035<NA>맥슨산업(주)부평구인천광역시 부평구 안남로433번길 33 (청천동)인천광역시 부평구 청천2동 396-2번지032-501-567461987-07-242890917901, 18111, 18113, 18119, 18129, 28909그 외 기타 전기장비 제조업 외 5 종자성승차권
96549646뷰티풀파크(주)삼보그린필터서구인천광역시 서구 마중로 176 (오류동)인천광역시 서구 오류동 1645-8번지032-564-259442015-10-052917329173산업용 송풍기 및 배기장치 제조업필터후레임
62826280<NA>태응전자남동구인천광역시 남동구 구월남로327번길 40 (만수동)인천광역시 남동구 만수동 919-21번지032-462-9141102005-02-032812128121, 28122전기회로 개폐, 보호장치 제조업 외 1 종자동차부품
1292812920<NA>장안가설서구인천광역시 서구 봉수대로 1336-14 (왕길동)인천광역시 서구 왕길동 164-7번지032-567-8903162013-03-222511325113, 25114육상 금속 골조 구조재 제조업 외 1 종강관파이프 서포트
462463인천서운일반산업단지지노앤지계양구인천광역시 계양구 서운산단로1길 19, 3층 10호(서운동)인천광역시 계양구 서운동 222 3층 10호032-555-962132022-03-111811118111, 73202경 인쇄업 외 1 종인쇄물
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순번단지명회사명시군구공장대표주소(도로명)공장대표주소(지번)전화번호종업원수최초등록일대표업종번호업종번호업종명생산품# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3