Overview

Dataset statistics

Number of variables7
Number of observations1867
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory105.9 KiB
Average record size in memory58.1 B

Variable types

Numeric2
Categorical1
Text4

Dataset

Description인천광역시_서구_산업단지내 업체 명단(회사명, 단지명, 공장대표주소, 대표업종번호, 업종번호, 업종명 등)현황 입니다.
URLhttps://www.data.go.kr/data/15042810/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:33:43.301792
Analysis finished2023-12-12 02:33:44.879866
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1867
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean934
Minimum1
Maximum1867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2023-12-12T11:33:44.972869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile94.3
Q1467.5
median934
Q31400.5
95-th percentile1773.7
Maximum1867
Range1866
Interquartile range (IQR)933

Descriptive statistics

Standard deviation539.10079
Coefficient of variation (CV)0.57719571
Kurtosis-1.2
Mean934
Median Absolute Deviation (MAD)467
Skewness0
Sum1743778
Variance290629.67
MonotonicityStrictly increasing
2023-12-12T11:33:45.153336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1242 1
 
0.1%
1254 1
 
0.1%
1253 1
 
0.1%
1252 1
 
0.1%
1251 1
 
0.1%
1250 1
 
0.1%
1249 1
 
0.1%
1248 1
 
0.1%
1247 1
 
0.1%
Other values (1857) 1857
99.5%
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 (%)
1867 1
0.1%
1866 1
0.1%
1865 1
0.1%
1864 1
0.1%
1863 1
0.1%
1862 1
0.1%
1861 1
0.1%
1860 1
0.1%
1859 1
0.1%
1858 1
0.1%

단지명
Categorical

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
뷰티풀파크
780 
한국수출산업(주안)국가산업단지
316 
인천서부일반산업단지
259 
인천일반산업단지
231 
IHP도시첨단산업단지
143 
Other values (3)
138 

Length

Max length17
Median length16
Mean length9.081414
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천일반산업단지
2nd row한국수출산업(주안)국가산업단지
3rd row한국수출산업(주안)국가산업단지
4th row뷰티풀파크
5th rowI-Food Park일반산업단지

Common Values

ValueCountFrequency (%)
뷰티풀파크 780
41.8%
한국수출산업(주안)국가산업단지 316
16.9%
인천서부일반산업단지 259
 
13.9%
인천일반산업단지 231
 
12.4%
IHP도시첨단산업단지 143
 
7.7%
I-Food Park일반산업단지 51
 
2.7%
인천기계일반산업단지 51
 
2.7%
인천청라1지구일반산업단지 36
 
1.9%

Length

2023-12-12T11:33:45.317548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:33:45.453391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
뷰티풀파크 780
40.7%
한국수출산업(주안)국가산업단지 316
16.5%
인천서부일반산업단지 259
 
13.5%
인천일반산업단지 231
 
12.0%
ihp도시첨단산업단지 143
 
7.5%
i-food 51
 
2.7%
park일반산업단지 51
 
2.7%
인천기계일반산업단지 51
 
2.7%
인천청라1지구일반산업단지 36
 
1.9%

회사명
Text

Distinct1816
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
2023-12-12T11:33:45.701447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length6.8318157
Min length2

Characters and Unicode

Total characters12755
Distinct characters543
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1770 ?
Unique (%)94.8%

Sample

1st row(유)프리티스킨인터내셔널
2nd row(주)TPC메카트로닉스
3rd row(주)가람테크
4th row(주)가림목재
5th row(주)가림씨푸드
ValueCountFrequency (%)
주식회사 51
 
2.6%
인천공장 9
 
0.5%
대명금속 5
 
0.3%
인천지점 4
 
0.2%
농업회사법인 4
 
0.2%
주)신한메탈 3
 
0.2%
유한회사 3
 
0.2%
알비코리아(주 3
 
0.2%
그린페이퍼 3
 
0.2%
린나이코리아(주 2
 
0.1%
Other values (1843) 1897
95.6%
2023-12-12T11:33:46.091471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1129
 
8.9%
) 1071
 
8.4%
( 1071
 
8.4%
이 446
 
3.5%
스 400
 
3.1%
에 238
 
1.9%
업 191
 
1.5%
크 190
 
1.5%
성 167
 
1.3%
테 165
 
1.3%
Other values (533) 7687
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10189
79.9%
Close Punctuation 1071
 
8.4%
Open Punctuation 1071
 
8.4%
Uppercase Letter 206
 
1.6%
Space Separator 130
 
1.0%
Lowercase Letter 25
 
0.2%
Other Punctuation 24
 
0.2%
Decimal Number 24
 
0.2%
Other Symbol 8
 
0.1%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1129
 
11.1%
이 446
 
4.4%
스 400
 
3.9%
에 238
 
2.3%
업 191
 
1.9%
크 190
 
1.9%
성 167
 
1.6%
테 165
 
1.6%
아 160
 
1.6%
지 135
 
1.3%
Other values (480) 6968
68.4%
Uppercase Letter
ValueCountFrequency (%)
E 28
13.6%
C 22
 
10.7%
T 20
 
9.7%
S 15
 
7.3%
N 15
 
7.3%
G 13
 
6.3%
H 12
 
5.8%
K 11
 
5.3%
J 8
 
3.9%
P 7
 
3.4%
Other values (14) 55
26.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
16.0%
a 3
12.0%
o 3
12.0%
r 3
12.0%
i 2
 
8.0%
l 1
 
4.0%
w 1
 
4.0%
c 1
 
4.0%
v 1
 
4.0%
m 1
 
4.0%
Other values (5) 5
20.0%
Decimal Number
ValueCountFrequency (%)
2 10
41.7%
1 6
25.0%
3 3
 
12.5%
4 2
 
8.3%
7 1
 
4.2%
9 1
 
4.2%
6 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 15
62.5%
& 9
37.5%
Close Punctuation
ValueCountFrequency (%)
) 1071
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1071
100.0%
Space Separator
ValueCountFrequency (%)
130
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10197
79.9%
Common 2327
 
18.2%
Latin 231
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1129
 
11.1%
이 446
 
4.4%
스 400
 
3.9%
에 238
 
2.3%
업 191
 
1.9%
크 190
 
1.9%
성 167
 
1.6%
테 165
 
1.6%
아 160
 
1.6%
지 135
 
1.3%
Other values (481) 6976
68.4%
Latin
ValueCountFrequency (%)
E 28
 
12.1%
C 22
 
9.5%
T 20
 
8.7%
S 15
 
6.5%
N 15
 
6.5%
G 13
 
5.6%
H 12
 
5.2%
K 11
 
4.8%
J 8
 
3.5%
P 7
 
3.0%
Other values (29) 80
34.6%
Common
ValueCountFrequency (%)
) 1071
46.0%
( 1071
46.0%
130
 
5.6%
. 15
 
0.6%
2 10
 
0.4%
& 9
 
0.4%
- 7
 
0.3%
1 6
 
0.3%
3 3
 
0.1%
4 2
 
0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10189
79.9%
ASCII 2558
 
20.1%
None 8
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1129
 
11.1%
이 446
 
4.4%
스 400
 
3.9%
에 238
 
2.3%
업 191
 
1.9%
크 190
 
1.9%
성 167
 
1.6%
테 165
 
1.6%
아 160
 
1.6%
지 135
 
1.3%
Other values (480) 6968
68.4%
ASCII
ValueCountFrequency (%)
) 1071
41.9%
( 1071
41.9%
130
 
5.1%
E 28
 
1.1%
C 22
 
0.9%
T 20
 
0.8%
. 15
 
0.6%
S 15
 
0.6%
N 15
 
0.6%
G 13
 
0.5%
Other values (42) 158
 
6.2%
None
ValueCountFrequency (%)
㈜ 8
100.0%

대표업종번호
Real number (ℝ)

Distinct280
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25673.86
Minimum10121
Maximum68112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2023-12-12T11:33:46.290976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10121
5-th percentile10759
Q124191
median25992
Q329171
95-th percentile32029
Maximum68112
Range57991
Interquartile range (IQR)4980

Descriptive statistics

Standard deviation6964.4426
Coefficient of variation (CV)0.27126589
Kurtosis13.600149
Mean25673.86
Median Absolute Deviation (MAD)3150
Skewness1.7032765
Sum47933097
Variance48503461
MonotonicityNot monotonic
2023-12-12T11:33:46.738212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25922 112
 
6.0%
25929 58
 
3.1%
29294 57
 
3.1%
25924 48
 
2.6%
26299 39
 
2.1%
20423 38
 
2.0%
28123 38
 
2.0%
29299 35
 
1.9%
29133 28
 
1.5%
32029 27
 
1.4%
Other values (270) 1387
74.3%
ValueCountFrequency (%)
10121 3
 
0.2%
10122 4
 
0.2%
10129 16
0.9%
10211 3
 
0.2%
10212 5
 
0.3%
10213 1
 
0.1%
10219 7
0.4%
10220 2
 
0.1%
10301 1
 
0.1%
10309 6
 
0.3%
ValueCountFrequency (%)
68112 20
1.1%
38322 1
 
0.1%
38321 2
 
0.1%
38311 2
 
0.1%
34019 2
 
0.1%
33999 13
0.7%
33993 2
 
0.1%
33992 1
 
0.1%
33932 4
 
0.2%
33931 2
 
0.1%

업종번호
Text

Distinct687
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
2023-12-12T11:33:47.150895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length5
Mean length9.6304231
Min length5

Characters and Unicode

Total characters17980
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

Unique448 ?
Unique (%)24.0%

Sample

1st row20423
2nd row29172
3rd row22292
4th row16101
5th row10212
ValueCountFrequency (%)
25929 140
 
4.5%
25922 115
 
3.7%
29294 71
 
2.3%
25924 54
 
1.7%
28123 53
 
1.7%
29299 51
 
1.6%
25999 45
 
1.5%
26299 44
 
1.4%
20423 40
 
1.3%
32029 34
 
1.1%
Other values (337) 2455
79.1%
2023-12-12T11:33:47.729977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5089
28.3%
9 2896
16.1%
1 2432
13.5%
3 1332
 
7.4%
, 1235
 
6.9%
1235
 
6.9%
5 964
 
5.4%
0 871
 
4.8%
4 771
 
4.3%
6 449
 
2.5%
Other values (2) 706
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15510
86.3%
Other Punctuation 1235
 
6.9%
Space Separator 1235
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5089
32.8%
9 2896
18.7%
1 2432
15.7%
3 1332
 
8.6%
5 964
 
6.2%
0 871
 
5.6%
4 771
 
5.0%
6 449
 
2.9%
7 385
 
2.5%
8 321
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 1235
100.0%
Space Separator
ValueCountFrequency (%)
1235
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17980
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5089
28.3%
9 2896
16.1%
1 2432
13.5%
3 1332
 
7.4%
, 1235
 
6.9%
1235
 
6.9%
5 964
 
5.4%
0 871
 
4.8%
4 771
 
4.3%
6 449
 
2.5%
Other values (2) 706
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5089
28.3%
9 2896
16.1%
1 2432
13.5%
3 1332
 
7.4%
, 1235
 
6.9%
1235
 
6.9%
5 964
 
5.4%
0 871
 
4.8%
4 771
 
4.3%
6 449
 
2.5%
Other values (2) 706
 
3.9%

업종명
Text

Distinct565
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
2023-12-12T11:33:48.101344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length16.307981
Min length3

Characters and Unicode

Total characters30447
Distinct characters313
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

Unique285 ?
Unique (%)15.3%

Sample

1st row화장품 제조업
2nd row공기 조화장치 제조업
3rd row플라스틱 적층, 도포 및 기타 표면처리 제품 제조업
4th row일반 제재업
5th row수산동물 건조 및 염장품 제조업
ValueCountFrequency (%)
제조업 1482
 
15.1%
외 980
 
10.0%
및 686
 
7.0%
종 670
 
6.8%
기타 549
 
5.6%
1 427
 
4.4%
그 310
 
3.2%
금속 173
 
1.8%
도금업 112
 
1.1%
2 107
 
1.1%
Other values (500) 4295
43.9%
2023-12-12T11:33:48.665871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7924
26.0%
업 1927
 
6.3%
제 1918
 
6.3%
조 1701
 
5.6%
기 1323
 
4.3%
외 1001
 
3.3%
및 686
 
2.3%
종 681
 
2.2%
타 554
 
1.8%
용 520
 
1.7%
Other values (303) 12212
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21584
70.9%
Space Separator 7924
 
26.0%
Decimal Number 687
 
2.3%
Other Punctuation 212
 
0.7%
Close Punctuation 20
 
0.1%
Open Punctuation 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1927
 
8.9%
제 1918
 
8.9%
조 1701
 
7.9%
기 1323
 
6.1%
외 1001
 
4.6%
및 686
 
3.2%
종 681
 
3.2%
타 554
 
2.6%
용 520
 
2.4%
품 518
 
2.4%
Other values (289) 10755
49.8%
Decimal Number
ValueCountFrequency (%)
1 445
64.8%
2 108
 
15.7%
3 59
 
8.6%
4 32
 
4.7%
5 17
 
2.5%
6 16
 
2.3%
7 6
 
0.9%
8 3
 
0.4%
9 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 198
93.4%
. 14
 
6.6%
Space Separator
ValueCountFrequency (%)
7924
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21584
70.9%
Common 8863
29.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1927
 
8.9%
제 1918
 
8.9%
조 1701
 
7.9%
기 1323
 
6.1%
외 1001
 
4.6%
및 686
 
3.2%
종 681
 
3.2%
타 554
 
2.6%
용 520
 
2.4%
품 518
 
2.4%
Other values (289) 10755
49.8%
Common
ValueCountFrequency (%)
7924
89.4%
1 445
 
5.0%
, 198
 
2.2%
2 108
 
1.2%
3 59
 
0.7%
4 32
 
0.4%
) 20
 
0.2%
( 20
 
0.2%
5 17
 
0.2%
6 16
 
0.2%
Other values (4) 24
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21574
70.9%
ASCII 8863
29.1%
Compat Jamo 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7924
89.4%
1 445
 
5.0%
, 198
 
2.2%
2 108
 
1.2%
3 59
 
0.7%
4 32
 
0.4%
) 20
 
0.2%
( 20
 
0.2%
5 17
 
0.2%
6 16
 
0.2%
Other values (4) 24
 
0.3%
Hangul
ValueCountFrequency (%)
업 1927
 
8.9%
제 1918
 
8.9%
조 1701
 
7.9%
기 1323
 
6.1%
외 1001
 
4.6%
및 686
 
3.2%
종 681
 
3.2%
타 554
 
2.6%
용 520
 
2.4%
품 518
 
2.4%
Other values (288) 10745
49.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 10
100.0%

공장대표주소(도로명)
Text

Distinct1649
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
2023-12-12T11:33:49.044915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length55
Mean length30.145688
Min length14

Characters and Unicode

Total characters56282
Distinct characters252
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1498 ?
Unique (%)80.2%

Sample

1st row인천광역시 서구 가정로38번길 18, 1동 2층 20호 (가좌동, 영창테크노타운)
2nd row인천광역시 서구 백범로603번길 24 (가좌동, A동)
3rd row인천광역시 서구 백범로701번길 7 (가좌동)
4th row인천광역시 서구 오류동 0 번지 검단일반산업단지 5-2
5th row인천광역시 서구 소담로 55(금곡동)
ValueCountFrequency (%)
서구 1868
 
16.2%
인천광역시 1867
 
16.2%
오류동 648
 
5.6%
가좌동 530
 
4.6%
경서동 208
 
1.8%
보듬로 204
 
1.8%
1동 182
 
1.6%
158 172
 
1.5%
블루텍 164
 
1.4%
14 157
 
1.4%
Other values (1259) 5523
47.9%
2023-12-12T11:33:49.570477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9657
 
17.2%
동 2307
 
4.1%
1 2251
 
4.0%
서 2131
 
3.8%
천 2000
 
3.6%
인 1978
 
3.5%
구 1873
 
3.3%
시 1869
 
3.3%
광 1869
 
3.3%
역 1868
 
3.3%
Other values (242) 28479
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32297
57.4%
Space Separator 9657
 
17.2%
Decimal Number 9153
 
16.3%
Close Punctuation 1864
 
3.3%
Open Punctuation 1864
 
3.3%
Other Punctuation 1037
 
1.8%
Dash Punctuation 206
 
0.4%
Uppercase Letter 180
 
0.3%
Math Symbol 18
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2307
 
7.1%
서 2131
 
6.6%
천 2000
 
6.2%
인 1978
 
6.1%
구 1873
 
5.8%
시 1869
 
5.8%
광 1869
 
5.8%
역 1868
 
5.8%
로 1849
 
5.7%
가 1086
 
3.4%
Other values (205) 13467
41.7%
Uppercase Letter
ValueCountFrequency (%)
B 84
46.7%
A 39
21.7%
C 17
 
9.4%
T 12
 
6.7%
I 7
 
3.9%
R 5
 
2.8%
E 5
 
2.8%
D 3
 
1.7%
P 2
 
1.1%
K 2
 
1.1%
Other values (3) 4
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 2251
24.6%
2 1210
13.2%
4 1008
11.0%
5 883
 
9.6%
3 806
 
8.8%
8 693
 
7.6%
0 688
 
7.5%
6 643
 
7.0%
9 545
 
6.0%
7 426
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
o 2
33.3%
d 1
16.7%
a 1
16.7%
r 1
16.7%
k 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 1020
98.4%
& 9
 
0.9%
. 6
 
0.6%
/ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
9657
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1864
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1864
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 206
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32297
57.4%
Common 23799
42.3%
Latin 186
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2307
 
7.1%
서 2131
 
6.6%
천 2000
 
6.2%
인 1978
 
6.1%
구 1873
 
5.8%
시 1869
 
5.8%
광 1869
 
5.8%
역 1868
 
5.8%
로 1849
 
5.7%
가 1086
 
3.4%
Other values (205) 13467
41.7%
Common
ValueCountFrequency (%)
9657
40.6%
1 2251
 
9.5%
) 1864
 
7.8%
( 1864
 
7.8%
2 1210
 
5.1%
, 1020
 
4.3%
4 1008
 
4.2%
5 883
 
3.7%
3 806
 
3.4%
8 693
 
2.9%
Other values (9) 2543
 
10.7%
Latin
ValueCountFrequency (%)
B 84
45.2%
A 39
21.0%
C 17
 
9.1%
T 12
 
6.5%
I 7
 
3.8%
R 5
 
2.7%
E 5
 
2.7%
D 3
 
1.6%
P 2
 
1.1%
o 2
 
1.1%
Other values (8) 10
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32297
57.4%
ASCII 23985
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9657
40.3%
1 2251
 
9.4%
) 1864
 
7.8%
( 1864
 
7.8%
2 1210
 
5.0%
, 1020
 
4.3%
4 1008
 
4.2%
5 883
 
3.7%
3 806
 
3.4%
8 693
 
2.9%
Other values (27) 2729
 
11.4%
Hangul
ValueCountFrequency (%)
동 2307
 
7.1%
서 2131
 
6.6%
천 2000
 
6.2%
인 1978
 
6.1%
구 1873
 
5.8%
시 1869
 
5.8%
광 1869
 
5.8%
역 1868
 
5.8%
로 1849
 
5.7%
가 1086
 
3.4%
Other values (205) 13467
41.7%

Interactions

2023-12-12T11:33:44.363722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:33:44.107316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:33:44.491170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:33:44.236043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:33:49.660642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번단지명대표업종번호
순번1.0000.1520.123
단지명0.1521.0000.449
대표업종번호0.1230.4491.000
2023-12-12T11:33:49.745968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번대표업종번호단지명
순번1.0000.0600.073
대표업종번호0.0601.0000.271
단지명0.0730.2711.000

Missing values

2023-12-12T11:33:44.650090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:33:44.823587image/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

순번단지명회사명대표업종번호업종번호업종명공장대표주소(도로명)
01인천일반산업단지(유)프리티스킨인터내셔널2042320423화장품 제조업인천광역시 서구 가정로38번길 18, 1동 2층 20호 (가좌동, 영창테크노타운)
12한국수출산업(주안)국가산업단지(주)TPC메카트로닉스2917229172공기 조화장치 제조업인천광역시 서구 백범로603번길 24 (가좌동, A동)
23한국수출산업(주안)국가산업단지(주)가람테크2229222292플라스틱 적층, 도포 및 기타 표면처리 제품 제조업인천광역시 서구 백범로701번길 7 (가좌동)
34뷰티풀파크(주)가림목재1610116101일반 제재업인천광역시 서구 오류동 0 번지 검단일반산업단지 5-2
45I-Food Park일반산업단지(주)가림씨푸드1021210212수산동물 건조 및 염장품 제조업인천광역시 서구 소담로 55(금곡동)
56뷰티풀파크(주)가야2332223322, 23324, 23325, 23991레미콘 제조업 외 3 종인천광역시 서구 가람로 33 (오류동)
67인천기계일반산업단지(주)가온2622226221, 26222, 26223경성 인쇄회로기판 제조업 외 2 종인천광역시 서구 장고개로126번길 17-7 (가좌동)
78뷰티풀파크(주)가온세정2592225922, 25929도금업 외 1 종인천광역시 서구 가람로 14, 1층 인천표면처리센터 코아텍 109호 (오류동)
89인천서부일반산업단지(주)가온프라텍2229922299그 외 기타 플라스틱 제품 제조업인천광역시 서구 원전로 5 (경서동)
910뷰티풀파크(주)거경3399931991, 33999그 외 기타 달리 분류되지 않은 제품 제조업 외 1 종인천광역시 서구 보듬로 158, 7층 검단지식산업센터 블루텍 734호 (오류동)
순번단지명회사명대표업종번호업종번호업종명공장대표주소(도로명)
18571858한국수출산업(주안)국가산업단지화성2공장3031030310자동차 엔진용 신품 부품 제조업인천광역시 서구 가재울로 45 (가좌동)
18581859인천일반산업단지화신프레스2592425924, 35114절삭가공 및 유사처리업 외 1 종인천광역시 서구 건지로250번길 105, 1동 및 2동 (가좌동)
18591860한국수출산업(주안)국가산업단지화인화학(주)2020220202합성수지 및 기타 플라스틱 물질 제조업인천광역시 서구 가좌로12번길 35 (가좌동, 5동) 외 1필지
18601861인천서부일반산업단지환금주공2431124311선철주물 주조업인천광역시 서구 사렴로21번길 7 (경서동)
18611862인천기계일반산업단지효림열처리2592125921, 25929금속 열처리업 외 1 종인천광역시 서구 가좌동 507-3번지
18621863인천서부일반산업단지효성산업2592925929그 외 기타 금속가공업인천광역시 서구 사렴로9번길 24 (경서동)
18631864한국수출산업(주안)국가산업단지훈필레이저시스템2929429294주형 및 금형 제조업인천광역시 서구 가좌로29번길 14 (가좌동) 1동 1층 106호
18641865한국수출산업(주안)국가산업단지휴먼시스템2812328123배전반 및 전기 자동제어반 제조업인천광역시 서구 가좌로 54, 3층 303호 (가좌동)
18651866IHP도시첨단산업단지휴미텍코리아(주)2917129171, 29172, 29173, 29174, 29175산업용 냉장 및 냉동 장비 제조업 외 4 종인천광역시 서구 파랑로466번길 76 (청라동)
18661867IHP도시첨단산업단지휴코스메딕2042320423화장품 제조업인천광역시 서구 파랑로 495, 1동 501호(청라동) 외 1필지