Overview

Dataset statistics

Number of variables7
Number of observations1278
Missing cells22
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory71.3 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Dataset

Description인천광역시 서구 대기 배출시설 설치사업장 현황 (종, 사업장명, 소재지(지번), 소재지(도로명) 업종) 에 관한 데이터입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15068793&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
대기 is highly imbalanced (63.6%)Imbalance
소재지 (도로명주소) has 22 (1.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 10:23:31.689348
Analysis finished2024-01-28 10:23:32.479908
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1278
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean639.5
Minimum1
Maximum1278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-01-28T19:23:32.535446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile64.85
Q1320.25
median639.5
Q3958.75
95-th percentile1214.15
Maximum1278
Range1277
Interquartile range (IQR)638.5

Descriptive statistics

Standard deviation369.07113
Coefficient of variation (CV)0.57712452
Kurtosis-1.2
Mean639.5
Median Absolute Deviation (MAD)319.5
Skewness0
Sum817281
Variance136213.5
MonotonicityStrictly increasing
2024-01-28T19:23:32.646615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
851 1
 
0.1%
858 1
 
0.1%
857 1
 
0.1%
856 1
 
0.1%
855 1
 
0.1%
854 1
 
0.1%
853 1
 
0.1%
852 1
 
0.1%
850 1
 
0.1%
Other values (1268) 1268
99.2%
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 (%)
1278 1
0.1%
1277 1
0.1%
1276 1
0.1%
1275 1
0.1%
1274 1
0.1%
1273 1
0.1%
1272 1
0.1%
1271 1
0.1%
1270 1
0.1%
1269 1
0.1%

대기
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
5
786 
4
450 
3
 
11
1
 
9
2
 
9
Other values (5)
 
13

Length

Max length7
Median length1
Mean length1.0547731
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row4
2nd row4
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
5 786
61.5%
4 450
35.2%
3 11
 
0.9%
1 9
 
0.7%
2 9
 
0.7%
통합허가(1) 7
 
0.5%
환경청(5) 2
 
0.2%
환경청(4) 2
 
0.2%
통합허가 1
 
0.1%
환경청(1) 1
 
0.1%

Length

2024-01-28T19:23:32.755350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T19:23:32.846292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 786
61.5%
4 450
35.2%
3 11
 
0.9%
1 9
 
0.7%
2 9
 
0.7%
통합허가(1 7
 
0.5%
환경청(5 2
 
0.2%
환경청(4 2
 
0.2%
통합허가 1
 
0.1%
환경청(1 1
 
0.1%

사업장명
Text

Distinct1250
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
2024-01-28T19:23:33.052088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length66
Mean length9.4984351
Min length2

Characters and Unicode

Total characters12139
Distinct characters451
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

Unique1223 ?
Unique (%)95.7%

Sample

1st row서울프레스(주)(멸실)
2nd row두산종합목재(주)(2017.5.25.멸실확인)
3rd row(주)세화금속
4th row세진산업(2022.03.22. 멸실확인)
5th row유창금속
ValueCountFrequency (%)
24
 
1.6%
주식회사 17
 
1.1%
멸실확인 13
 
0.9%
2공장 5
 
0.3%
멸실 4
 
0.3%
한국가스공사 4
 
0.3%
주)진흥써키트 3
 
0.2%
인천지역본부 3
 
0.2%
주)성진로지스 3
 
0.2%
주)금상화학 3
 
0.2%
Other values (1363) 1414
94.7%
2024-01-28T19:23:33.582820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 924
 
7.6%
) 922
 
7.6%
주 686
 
5.7%
. 402
 
3.3%
2 372
 
3.1%
업 309
 
2.5%
0 298
 
2.5%
1 266
 
2.2%
233
 
1.9%
스 211
 
1.7%
Other values (441) 7516
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8142
67.1%
Decimal Number 1249
 
10.3%
Open Punctuation 934
 
7.7%
Close Punctuation 932
 
7.7%
Other Punctuation 473
 
3.9%
Space Separator 233
 
1.9%
Uppercase Letter 103
 
0.8%
Math Symbol 57
 
0.5%
Dash Punctuation 13
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 686
 
8.4%
업 309
 
3.8%
스 211
 
2.6%
실 197
 
2.4%
이 194
 
2.4%
멸 184
 
2.3%
인 151
 
1.9%
성 141
 
1.7%
산 138
 
1.7%
사 132
 
1.6%
Other values (395) 5799
71.2%
Uppercase Letter
ValueCountFrequency (%)
K 12
11.7%
S 10
9.7%
M 9
 
8.7%
C 9
 
8.7%
P 7
 
6.8%
H 7
 
6.8%
E 7
 
6.8%
J 7
 
6.8%
I 6
 
5.8%
T 5
 
4.9%
Other values (10) 24
23.3%
Decimal Number
ValueCountFrequency (%)
2 372
29.8%
0 298
23.9%
1 266
21.3%
3 67
 
5.4%
7 63
 
5.0%
6 43
 
3.4%
8 40
 
3.2%
5 38
 
3.0%
9 31
 
2.5%
4 31
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 402
85.0%
: 51
 
10.8%
, 14
 
3.0%
& 3
 
0.6%
/ 2
 
0.4%
; 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
r 1
33.3%
e 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 924
98.9%
[ 10
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 922
98.9%
] 10
 
1.1%
Space Separator
ValueCountFrequency (%)
233
100.0%
Math Symbol
ValueCountFrequency (%)
~ 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8142
67.1%
Common 3891
32.1%
Latin 106
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 686
 
8.4%
업 309
 
3.8%
스 211
 
2.6%
실 197
 
2.4%
이 194
 
2.4%
멸 184
 
2.3%
인 151
 
1.9%
성 141
 
1.7%
산 138
 
1.7%
사 132
 
1.6%
Other values (395) 5799
71.2%
Common
ValueCountFrequency (%)
( 924
23.7%
) 922
23.7%
. 402
10.3%
2 372
9.6%
0 298
 
7.7%
1 266
 
6.8%
233
 
6.0%
3 67
 
1.7%
7 63
 
1.6%
~ 57
 
1.5%
Other values (13) 287
 
7.4%
Latin
ValueCountFrequency (%)
K 12
11.3%
S 10
 
9.4%
M 9
 
8.5%
C 9
 
8.5%
P 7
 
6.6%
H 7
 
6.6%
E 7
 
6.6%
J 7
 
6.6%
I 6
 
5.7%
T 5
 
4.7%
Other values (13) 27
25.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8142
67.1%
ASCII 3997
32.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 924
23.1%
) 922
23.1%
. 402
10.1%
2 372
9.3%
0 298
 
7.5%
1 266
 
6.7%
233
 
5.8%
3 67
 
1.7%
7 63
 
1.6%
~ 57
 
1.4%
Other values (36) 393
9.8%
Hangul
ValueCountFrequency (%)
주 686
 
8.4%
업 309
 
3.8%
스 211
 
2.6%
실 197
 
2.4%
이 194
 
2.4%
멸 184
 
2.3%
인 151
 
1.9%
성 141
 
1.7%
산 138
 
1.7%
사 132
 
1.6%
Other values (395) 5799
71.2%

소재지 (지번)
Text

Distinct1155
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
2024-01-28T19:23:33.757183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length59
Mean length20.71205
Min length14

Characters and Unicode

Total characters26470
Distinct characters132
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1061 ?
Unique (%)83.0%

Sample

1st row인천광역시 서구 가좌동 173-106
2nd row인천광역시 서구 석남동 223-234
3rd row인천광역시 서구 가좌동 480-7
4th row인천광역시 서구 가좌동 173-99
5th row인천광역시 서구 가좌동 602-36(A-101)
ValueCountFrequency (%)
인천광역시 1278
24.3%
서구 1278
24.3%
가좌동 456
 
8.7%
석남동 331
 
6.3%
원창동 178
 
3.4%
오류동 112
 
2.1%
왕길동 45
 
0.9%
금곡동 20
 
0.4%
경서동 13
 
0.2%
백석동 12
 
0.2%
Other values (1240) 1532
29.2%
2024-01-28T19:23:34.050896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4035
 
15.2%
동 1320
 
5.0%
- 1309
 
4.9%
2 1297
 
4.9%
서 1293
 
4.9%
구 1283
 
4.8%
인 1282
 
4.8%
천 1281
 
4.8%
시 1280
 
4.8%
광 1279
 
4.8%
Other values (122) 10811
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13263
50.1%
Decimal Number 7351
27.8%
Space Separator 4035
 
15.2%
Dash Punctuation 1309
 
4.9%
Close Punctuation 150
 
0.6%
Open Punctuation 149
 
0.6%
Other Punctuation 149
 
0.6%
Uppercase Letter 64
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1320
10.0%
서 1293
9.7%
구 1283
9.7%
인 1282
9.7%
천 1281
9.7%
시 1280
9.7%
광 1279
9.6%
역 1278
9.6%
가 499
 
3.8%
좌 481
 
3.6%
Other values (97) 1987
15.0%
Decimal Number
ValueCountFrequency (%)
2 1297
17.6%
1 1137
15.5%
3 1130
15.4%
4 698
9.5%
5 634
8.6%
6 580
7.9%
0 568
7.7%
7 519
7.1%
8 477
 
6.5%
9 311
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
A 30
46.9%
B 24
37.5%
E 3
 
4.7%
C 2
 
3.1%
D 2
 
3.1%
L 2
 
3.1%
T 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 138
92.6%
. 7
 
4.7%
/ 2
 
1.3%
: 2
 
1.3%
Space Separator
ValueCountFrequency (%)
4035
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1309
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13263
50.1%
Common 13143
49.7%
Latin 64
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1320
10.0%
서 1293
9.7%
구 1283
9.7%
인 1282
9.7%
천 1281
9.7%
시 1280
9.7%
광 1279
9.6%
역 1278
9.6%
가 499
 
3.8%
좌 481
 
3.6%
Other values (97) 1987
15.0%
Common
ValueCountFrequency (%)
4035
30.7%
- 1309
 
10.0%
2 1297
 
9.9%
1 1137
 
8.7%
3 1130
 
8.6%
4 698
 
5.3%
5 634
 
4.8%
6 580
 
4.4%
0 568
 
4.3%
7 519
 
3.9%
Other values (8) 1236
 
9.4%
Latin
ValueCountFrequency (%)
A 30
46.9%
B 24
37.5%
E 3
 
4.7%
C 2
 
3.1%
D 2
 
3.1%
L 2
 
3.1%
T 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13263
50.1%
ASCII 13207
49.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4035
30.6%
- 1309
 
9.9%
2 1297
 
9.8%
1 1137
 
8.6%
3 1130
 
8.6%
4 698
 
5.3%
5 634
 
4.8%
6 580
 
4.4%
0 568
 
4.3%
7 519
 
3.9%
Other values (15) 1300
 
9.8%
Hangul
ValueCountFrequency (%)
동 1320
10.0%
서 1293
9.7%
구 1283
9.7%
인 1282
9.7%
천 1281
9.7%
시 1280
9.7%
광 1279
9.6%
역 1278
9.6%
가 499
 
3.8%
좌 481
 
3.6%
Other values (97) 1987
15.0%

소재지 (도로명주소)
Text

MISSING 

Distinct1152
Distinct (%)91.7%
Missing22
Missing (%)1.7%
Memory size10.1 KiB
2024-01-28T19:23:34.301785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length44
Mean length25.876592
Min length11

Characters and Unicode

Total characters32501
Distinct characters168
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

Unique1070 ?
Unique (%)85.2%

Sample

1st row인천광역시 서구 건지로 142(가좌동)
2nd row인천광역시 서구 건지로97번길 33-26(석남동)
3rd row인천광역시 서구 가좌로96번길 43(가좌동)
4th row인천광역시 서구 건지로 122(가좌동)
5th row인천광역시 서구 중봉대로198번길 33, A-101(가좌동)
ValueCountFrequency (%)
서구 1259
23.0%
인천광역시 1256
23.0%
건지로 69
 
1.3%
건지로97번길 57
 
1.0%
중봉대로198번길 53
 
1.0%
건지로153번길 42
 
0.8%
봉수대로 40
 
0.7%
33 39
 
0.7%
북항로 37
 
0.7%
중봉대로240번길 35
 
0.6%
Other values (1179) 2579
47.2%
2024-01-28T19:23:34.667351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4269
 
13.1%
동 1313
 
4.0%
서 1289
 
4.0%
천 1269
 
3.9%
인 1262
 
3.9%
로 1262
 
3.9%
구 1260
 
3.9%
1 1258
 
3.9%
시 1258
 
3.9%
광 1257
 
3.9%
Other values (158) 16804
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18942
58.3%
Decimal Number 6082
 
18.7%
Space Separator 4269
 
13.1%
Open Punctuation 1219
 
3.8%
Close Punctuation 1218
 
3.7%
Dash Punctuation 355
 
1.1%
Other Punctuation 330
 
1.0%
Uppercase Letter 85
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1313
 
6.9%
서 1289
 
6.8%
천 1269
 
6.7%
인 1262
 
6.7%
로 1262
 
6.7%
구 1260
 
6.7%
시 1258
 
6.6%
광 1257
 
6.6%
역 1256
 
6.6%
길 933
 
4.9%
Other values (129) 6583
34.8%
Decimal Number
ValueCountFrequency (%)
1 1258
20.7%
2 798
13.1%
3 780
12.8%
4 566
9.3%
0 539
8.9%
5 471
 
7.7%
9 467
 
7.7%
6 413
 
6.8%
7 408
 
6.7%
8 382
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
A 38
44.7%
B 32
37.6%
C 5
 
5.9%
E 4
 
4.7%
D 3
 
3.5%
M 1
 
1.2%
L 1
 
1.2%
U 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 324
98.2%
? 4
 
1.2%
· 1
 
0.3%
/ 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 1218
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1217
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4269
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 355
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18942
58.3%
Common 13474
41.5%
Latin 85
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1313
 
6.9%
서 1289
 
6.8%
천 1269
 
6.7%
인 1262
 
6.7%
로 1262
 
6.7%
구 1260
 
6.7%
시 1258
 
6.6%
광 1257
 
6.6%
역 1256
 
6.6%
길 933
 
4.9%
Other values (129) 6583
34.8%
Common
ValueCountFrequency (%)
4269
31.7%
1 1258
 
9.3%
( 1218
 
9.0%
) 1217
 
9.0%
2 798
 
5.9%
3 780
 
5.8%
4 566
 
4.2%
0 539
 
4.0%
5 471
 
3.5%
9 467
 
3.5%
Other values (11) 1891
14.0%
Latin
ValueCountFrequency (%)
A 38
44.7%
B 32
37.6%
C 5
 
5.9%
E 4
 
4.7%
D 3
 
3.5%
M 1
 
1.2%
L 1
 
1.2%
U 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18942
58.3%
ASCII 13558
41.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4269
31.5%
1 1258
 
9.3%
( 1218
 
9.0%
) 1217
 
9.0%
2 798
 
5.9%
3 780
 
5.8%
4 566
 
4.2%
0 539
 
4.0%
5 471
 
3.5%
9 467
 
3.4%
Other values (18) 1975
14.6%
Hangul
ValueCountFrequency (%)
동 1313
 
6.9%
서 1289
 
6.8%
천 1269
 
6.7%
인 1262
 
6.7%
로 1262
 
6.7%
구 1260
 
6.7%
시 1258
 
6.6%
광 1257
 
6.6%
역 1256
 
6.6%
길 933
 
4.9%
Other values (129) 6583
34.8%
None
ValueCountFrequency (%)
· 1
100.0%

업종
Text

Distinct520
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
2024-01-28T19:23:34.891603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length46
Mean length11.817684
Min length2

Characters and Unicode

Total characters15103
Distinct characters270
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique400 ?
Unique (%)31.3%

Sample

1st row가공금속
2nd row목재가공
3rd row가공금속(알류미눔판제조)
4th row가공금속
5th row도금업
ValueCountFrequency (%)
도금업 181
 
8.7%
및 142
 
6.8%
인쇄회로기판제조업(26221 100
 
4.8%
기타 53
 
2.5%
외 50
 
2.4%
자동차종합수리업 40
 
1.9%
제조업 32
 
1.5%
도장 31
 
1.5%
일반제재업 28
 
1.3%
그 26
 
1.2%
Other values (693) 1406
67.3%
2024-01-28T19:23:35.241277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 1113
 
7.4%
2 863
 
5.7%
834
 
5.5%
제 767
 
5.1%
1 592
 
3.9%
조 564
 
3.7%
기 502
 
3.3%
( 472
 
3.1%
) 472
 
3.1%
재 338
 
2.2%
Other values (260) 8586
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10697
70.8%
Decimal Number 2516
 
16.7%
Space Separator 834
 
5.5%
Open Punctuation 472
 
3.1%
Close Punctuation 472
 
3.1%
Other Punctuation 110
 
0.7%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1113
 
10.4%
제 767
 
7.2%
조 564
 
5.3%
기 502
 
4.7%
재 338
 
3.2%
금 336
 
3.1%
도 277
 
2.6%
리 253
 
2.4%
및 245
 
2.3%
자 202
 
1.9%
Other values (244) 6100
57.0%
Decimal Number
ValueCountFrequency (%)
2 863
34.3%
1 592
23.5%
9 255
 
10.1%
6 228
 
9.1%
3 183
 
7.3%
0 183
 
7.3%
5 100
 
4.0%
4 47
 
1.9%
8 40
 
1.6%
7 25
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 106
96.4%
? 4
 
3.6%
Space Separator
ValueCountFrequency (%)
834
100.0%
Open Punctuation
ValueCountFrequency (%)
( 472
100.0%
Close Punctuation
ValueCountFrequency (%)
) 472
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10697
70.8%
Common 4406
29.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1113
 
10.4%
제 767
 
7.2%
조 564
 
5.3%
기 502
 
4.7%
재 338
 
3.2%
금 336
 
3.1%
도 277
 
2.6%
리 253
 
2.4%
및 245
 
2.3%
자 202
 
1.9%
Other values (244) 6100
57.0%
Common
ValueCountFrequency (%)
2 863
19.6%
834
18.9%
1 592
13.4%
( 472
10.7%
) 472
10.7%
9 255
 
5.8%
6 228
 
5.2%
3 183
 
4.2%
0 183
 
4.2%
, 106
 
2.4%
Other values (6) 218
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10697
70.8%
ASCII 4406
29.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 1113
 
10.4%
제 767
 
7.2%
조 564
 
5.3%
기 502
 
4.7%
재 338
 
3.2%
금 336
 
3.1%
도 277
 
2.6%
리 253
 
2.4%
및 245
 
2.3%
자 202
 
1.9%
Other values (244) 6100
57.0%
ASCII
ValueCountFrequency (%)
2 863
19.6%
834
18.9%
1 592
13.4%
( 472
10.7%
) 472
10.7%
9 255
 
5.8%
6 228
 
5.2%
3 183
 
4.2%
0 183
 
4.2%
, 106
 
2.4%
Other values (6) 218
 
4.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
Minimum2022-08-31 00:00:00
Maximum2022-08-31 00:00:00
2024-01-28T19:23:35.334697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:23:35.407854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T19:23:32.264380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T19:23:35.457588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대기
연번1.0000.217
대기0.2171.000
2024-01-28T19:23:35.523722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대기
연번1.0000.068
대기0.0681.000

Missing values

2024-01-28T19:23:32.359339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T19:23:32.445659image/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

연번대기사업장명소재지 (지번)소재지 (도로명주소)업종데이터기준일자
014서울프레스(주)(멸실)인천광역시 서구 가좌동 173-106인천광역시 서구 건지로 142(가좌동)가공금속2022-08-31
124두산종합목재(주)(2017.5.25.멸실확인)인천광역시 서구 석남동 223-234인천광역시 서구 건지로97번길 33-26(석남동)목재가공2022-08-31
234(주)세화금속인천광역시 서구 가좌동 480-7인천광역시 서구 가좌로96번길 43(가좌동)가공금속(알류미눔판제조)2022-08-31
345세진산업(2022.03.22. 멸실확인)인천광역시 서구 가좌동 173-99인천광역시 서구 건지로 122(가좌동)가공금속2022-08-31
454유창금속인천광역시 서구 가좌동 602-36(A-101)인천광역시 서구 중봉대로198번길 33, A-101(가좌동)도금업2022-08-31
565유성금속인천광역시 서구 가좌동 602-36(A-102)인천광역시 서구 중봉대로198번길 33, A-102(가좌동)도금업2022-08-31
675유성금속인천광역시 서구 가좌동 602-36(A-103)인천광역시 서구 중봉대로198번길 33, A-103(가좌동)도금업2022-08-31
785(주)대림금속인천광역시 서구 가좌동 602-36(A-104)인천광역시 서구 중봉대로198번길 33, A-104(가좌동)도금업2022-08-31
895세기산업인천광역시 서구 가좌동 602-36(A-105)인천광역시 서구 중봉대로198번길 33, A-105(가좌동)도금업2022-08-31
9105금산전자인천광역시 서구 가좌동 602-36(A-201)인천광역시 서구 중봉대로198번길 33, A-201(가좌동)도금업2022-08-31
연번대기사업장명소재지 (지번)소재지 (도로명주소)업종데이터기준일자
126812694미조흠인천광역시 서구 가좌동 167-5인천광역시 서구 건지로250번길 102(가좌동)플라스틱 적층, 도포 및 기타표면처리 제품 제조업(22292)2022-08-31
126912704한국은행 인재개발원인천광역시 서구 심곡동 205-6인천광역시 서구 심곡로100번길 10(심곡동)직원 훈련기관(85650)2022-08-31
127012715(주)종우실업인천광역시 서구 원창동 394-27인천광역시 서구 북항로245번길 30(원창동)그 외 플라스틱 제품 제조업(22299)2022-08-31
127112724원당문화체육센터인천광역시 서구 원당동 825-1<NA>서비스업2022-08-31
127212734(주)우딘(도어공장)인천광역시 서구 원창동 435-7인천광역시 서구 북항배후로 30목재 문 및 관련제품제조업(16221)2022-08-31
127312745피티코리아(주)인천광역시 서구 가좌동 585-18인천광역시 서구 백범로810번길 27-11층일반용 도료 및관련제품 제조업(20411)2022-08-31
127412754(주)미래리싸이클링(금곡동지점)인천광역시 서구 금곡동 336-11인천광역시 서구 봉수대로1581번길 5-9비금속류 원료재생업(38322)2022-08-31
127512765에이텍인천광역시 서구 석남동 223-271인천광역시 서구 건지로109번길 47, 2층 203호경성 인쇄회로기판제조업(26222)2022-08-31
127612774주식회사 나무와나무인천광역시 서구 원창동 435-6인천광역시 서구 북항배후로 12일반제재업 외2종(16101, 25112,28422)2022-08-31
127712785휠라운지인천광역시 서구 석남동 642-80인천광역시 서구 건지로 45-26, 3동 1층 일부자동차 중고 부품 및 내장품 판매업(45220) 외 1종(25923)2022-08-31