Overview

Dataset statistics

Number of variables7
Number of observations1127
Missing cells29
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory62.9 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Dataset

Description인천광역시 서구 폐수 배출시설 설치사업장 현황 (수질, 사업장명, 소재지(지번), 소재지(도로명), 업종 등) 에 관한 데이터를 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15068807&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
수질 is highly imbalanced (82.5%)Imbalance
소재지(도로명) has 29 (2.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:03:37.474497
Analysis finished2024-03-18 02:03:38.668845
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean564
Minimum1
Maximum1127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-03-18T11:03:38.736109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile57.3
Q1282.5
median564
Q3845.5
95-th percentile1070.7
Maximum1127
Range1126
Interquartile range (IQR)563

Descriptive statistics

Standard deviation325.48118
Coefficient of variation (CV)0.57709429
Kurtosis-1.2
Mean564
Median Absolute Deviation (MAD)282
Skewness0
Sum635628
Variance105938
MonotonicityStrictly increasing
2024-03-18T11:03:38.858356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
750 1
 
0.1%
756 1
 
0.1%
755 1
 
0.1%
754 1
 
0.1%
753 1
 
0.1%
752 1
 
0.1%
751 1
 
0.1%
749 1
 
0.1%
758 1
 
0.1%
Other values (1117) 1117
99.1%
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 (%)
1127 1
0.1%
1126 1
0.1%
1125 1
0.1%
1124 1
0.1%
1123 1
0.1%
1122 1
0.1%
1121 1
0.1%
1120 1
0.1%
1119 1
0.1%
1118 1
0.1%

수질
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
5
1039 
4
 
57
3
 
16
1
 
4
2
 
4
Other values (3)
 
7

Length

Max length7
Median length1
Mean length1.0372671
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
5 1039
92.2%
4 57
 
5.1%
3 16
 
1.4%
1 4
 
0.4%
2 4
 
0.4%
통합허가(2) 4
 
0.4%
통합허가(5) 2
 
0.2%
통합허가(3) 1
 
0.1%

Length

2024-03-18T11:03:38.984408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:03:39.094856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 1039
92.2%
4 57
 
5.1%
3 16
 
1.4%
1 4
 
0.4%
2 4
 
0.4%
통합허가(2 4
 
0.4%
통합허가(5 2
 
0.2%
통합허가(3 1
 
0.1%

사업장명
Text

Distinct1104
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-03-18T11:03:39.309181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length65
Mean length9.6415262
Min length2

Characters and Unicode

Total characters10866
Distinct characters467
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1084 ?
Unique (%)96.2%

Sample

1st row서울프레스(주)(멸실)
2nd row신진택시(주)
3rd row(주)세화금속
4th row경일산업사(멸실)
5th row(주)대도기업
ValueCountFrequency (%)
28
 
2.1%
주식회사 12
 
0.9%
멸실확인 4
 
0.3%
2공장 4
 
0.3%
주)금상화학 3
 
0.2%
주)진흥써키트 3
 
0.2%
우원개발(주 3
 
0.2%
주)범양이엔씨 3
 
0.2%
주)성진로지스 3
 
0.2%
2023.02.21 3
 
0.2%
Other values (1243) 1288
95.1%
2024-03-18T11:03:39.704805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 761
 
7.0%
) 757
 
7.0%
주 593
 
5.5%
. 361
 
3.3%
2 359
 
3.3%
0 291
 
2.7%
237
 
2.2%
업 226
 
2.1%
1 214
 
2.0%
이 178
 
1.6%
Other values (457) 6889
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7215
66.4%
Decimal Number 1188
 
10.9%
Open Punctuation 766
 
7.0%
Close Punctuation 762
 
7.0%
Other Punctuation 447
 
4.1%
Space Separator 237
 
2.2%
Uppercase Letter 154
 
1.4%
Math Symbol 65
 
0.6%
Dash Punctuation 19
 
0.2%
Lowercase Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 593
 
8.2%
업 226
 
3.1%
이 178
 
2.5%
스 160
 
2.2%
실 151
 
2.1%
멸 143
 
2.0%
대 126
 
1.7%
금 122
 
1.7%
자 118
 
1.6%
크 114
 
1.6%
Other values (402) 5284
73.2%
Uppercase Letter
ValueCountFrequency (%)
C 14
 
9.1%
T 14
 
9.1%
S 14
 
9.1%
K 13
 
8.4%
E 11
 
7.1%
P 10
 
6.5%
A 10
 
6.5%
I 9
 
5.8%
M 9
 
5.8%
H 7
 
4.5%
Other values (13) 43
27.9%
Decimal Number
ValueCountFrequency (%)
2 359
30.2%
0 291
24.5%
1 214
18.0%
3 77
 
6.5%
8 52
 
4.4%
6 46
 
3.9%
5 46
 
3.9%
7 43
 
3.6%
4 36
 
3.0%
9 24
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
c 2
15.4%
s 2
15.4%
o 1
 
7.7%
g 1
 
7.7%
i 1
 
7.7%
h 1
 
7.7%
l 1
 
7.7%
t 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 361
80.8%
: 59
 
13.2%
, 19
 
4.3%
/ 4
 
0.9%
& 3
 
0.7%
? 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 761
99.3%
[ 5
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 757
99.3%
] 5
 
0.7%
Space Separator
ValueCountFrequency (%)
237
100.0%
Math Symbol
ValueCountFrequency (%)
~ 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7214
66.4%
Common 3484
32.1%
Latin 167
 
1.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 593
 
8.2%
업 226
 
3.1%
이 178
 
2.5%
스 160
 
2.2%
실 151
 
2.1%
멸 143
 
2.0%
대 126
 
1.7%
금 122
 
1.7%
자 118
 
1.6%
크 114
 
1.6%
Other values (401) 5283
73.2%
Latin
ValueCountFrequency (%)
C 14
 
8.4%
T 14
 
8.4%
S 14
 
8.4%
K 13
 
7.8%
E 11
 
6.6%
P 10
 
6.0%
A 10
 
6.0%
I 9
 
5.4%
M 9
 
5.4%
H 7
 
4.2%
Other values (22) 56
33.5%
Common
ValueCountFrequency (%)
( 761
21.8%
) 757
21.7%
. 361
10.4%
2 359
10.3%
0 291
 
8.4%
237
 
6.8%
1 214
 
6.1%
3 77
 
2.2%
~ 65
 
1.9%
: 59
 
1.7%
Other values (13) 303
 
8.7%
Han
ValueCountFrequency (%)
孝 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7214
66.4%
ASCII 3651
33.6%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 761
20.8%
) 757
20.7%
. 361
9.9%
2 359
9.8%
0 291
 
8.0%
237
 
6.5%
1 214
 
5.9%
3 77
 
2.1%
~ 65
 
1.8%
: 59
 
1.6%
Other values (45) 470
12.9%
Hangul
ValueCountFrequency (%)
주 593
 
8.2%
업 226
 
3.1%
이 178
 
2.5%
스 160
 
2.2%
실 151
 
2.1%
멸 143
 
2.0%
대 126
 
1.7%
금 122
 
1.7%
자 118
 
1.6%
크 114
 
1.6%
Other values (401) 5283
73.2%
CJK
ValueCountFrequency (%)
孝 1
100.0%

소재지(지번)
Text

Distinct1021
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-03-18T11:03:40.162234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length59
Mean length21.100266
Min length14

Characters and Unicode

Total characters23780
Distinct characters149
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

Unique958 ?
Unique (%)85.0%

Sample

1st row인천광역시 서구 가좌동 173-106
2nd row인천광역시 서구 가좌동 260-20
3rd row인천광역시 서구 가좌동 480-7
4th row인천광역시 서구 가좌동 173-66
5th row인천광역시 서구 가좌동 272-15
ValueCountFrequency (%)
인천광역시 1127
23.9%
서구 1127
23.9%
가좌동 425
 
9.0%
석남동 304
 
6.4%
원창동 115
 
2.4%
오류동 59
 
1.2%
왕길동 31
 
0.7%
경서동 22
 
0.5%
심곡동 19
 
0.4%
2층 17
 
0.4%
Other values (1129) 1474
31.2%
2024-03-18T11:03:40.486811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3638
 
15.3%
2 1214
 
5.1%
동 1166
 
4.9%
서 1151
 
4.8%
구 1143
 
4.8%
- 1142
 
4.8%
광 1132
 
4.8%
천 1130
 
4.8%
인 1130
 
4.8%
시 1129
 
4.7%
Other values (139) 9805
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11959
50.3%
Decimal Number 6515
27.4%
Space Separator 3638
 
15.3%
Dash Punctuation 1142
 
4.8%
Close Punctuation 160
 
0.7%
Open Punctuation 159
 
0.7%
Other Punctuation 139
 
0.6%
Uppercase Letter 67
 
0.3%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1166
9.7%
서 1151
9.6%
구 1143
9.6%
광 1132
9.5%
천 1130
9.4%
인 1130
9.4%
시 1129
9.4%
역 1127
9.4%
가 467
 
3.9%
좌 451
 
3.8%
Other values (109) 1933
16.2%
Decimal Number
ValueCountFrequency (%)
2 1214
18.6%
1 1022
15.7%
3 967
14.8%
5 575
8.8%
0 556
8.5%
4 515
7.9%
6 511
7.8%
7 489
7.5%
8 409
 
6.3%
9 257
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 30
44.8%
B 25
37.3%
L 4
 
6.0%
E 3
 
4.5%
T 1
 
1.5%
G 1
 
1.5%
S 1
 
1.5%
C 1
 
1.5%
D 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 127
91.4%
/ 6
 
4.3%
. 4
 
2.9%
: 2
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 155
96.9%
] 5
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 154
96.9%
[ 5
 
3.1%
Space Separator
ValueCountFrequency (%)
3638
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1142
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11959
50.3%
Common 11754
49.4%
Latin 67
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1166
9.7%
서 1151
9.6%
구 1143
9.6%
광 1132
9.5%
천 1130
9.4%
인 1130
9.4%
시 1129
9.4%
역 1127
9.4%
가 467
 
3.9%
좌 451
 
3.8%
Other values (109) 1933
16.2%
Common
ValueCountFrequency (%)
3638
31.0%
2 1214
 
10.3%
- 1142
 
9.7%
1 1022
 
8.7%
3 967
 
8.2%
5 575
 
4.9%
0 556
 
4.7%
4 515
 
4.4%
6 511
 
4.3%
7 489
 
4.2%
Other values (11) 1125
 
9.6%
Latin
ValueCountFrequency (%)
A 30
44.8%
B 25
37.3%
L 4
 
6.0%
E 3
 
4.5%
T 1
 
1.5%
G 1
 
1.5%
S 1
 
1.5%
C 1
 
1.5%
D 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11959
50.3%
ASCII 11820
49.7%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3638
30.8%
2 1214
 
10.3%
- 1142
 
9.7%
1 1022
 
8.6%
3 967
 
8.2%
5 575
 
4.9%
0 556
 
4.7%
4 515
 
4.4%
6 511
 
4.3%
7 489
 
4.1%
Other values (19) 1191
 
10.1%
Hangul
ValueCountFrequency (%)
동 1166
9.7%
서 1151
9.6%
구 1143
9.6%
광 1132
9.5%
천 1130
9.4%
인 1130
9.4%
시 1129
9.4%
역 1127
9.4%
가 467
 
3.9%
좌 451
 
3.8%
Other values (109) 1933
16.2%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

소재지(도로명)
Text

MISSING 

Distinct1013
Distinct (%)92.3%
Missing29
Missing (%)2.6%
Memory size8.9 KiB
2024-03-18T11:03:40.675843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length25.938069
Min length11

Characters and Unicode

Total characters28480
Distinct characters171
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique964 ?
Unique (%)87.8%

Sample

1st row인천광역시 서구 건지로 142(가좌동)
2nd row인천광역시 서구 신진말로28번길 21(가좌동)
3rd row인천광역시 서구 가좌로96번길 43(가좌동)
4th row인천광역시 서구 염곡로 75(가좌동)
5th row인천광역시 서구 원적로17번길 16(가좌동)
ValueCountFrequency (%)
서구 1099
22.7%
인천광역시 1098
22.7%
건지로 55
 
1.1%
중봉대로198번길 55
 
1.1%
봉수대로 51
 
1.1%
건지로97번길 47
 
1.0%
건지로153번길 41
 
0.8%
33 40
 
0.8%
염곡로 36
 
0.7%
중봉대로240번길 30
 
0.6%
Other values (1090) 2290
47.3%
2024-03-18T11:03:41.036384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3795
 
13.3%
동 1149
 
4.0%
서 1145
 
4.0%
천 1113
 
3.9%
로 1108
 
3.9%
인 1105
 
3.9%
광 1105
 
3.9%
시 1101
 
3.9%
구 1099
 
3.9%
역 1098
 
3.9%
Other values (161) 14662
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16610
58.3%
Decimal Number 5252
 
18.4%
Space Separator 3795
 
13.3%
Open Punctuation 1067
 
3.7%
Close Punctuation 1067
 
3.7%
Other Punctuation 342
 
1.2%
Dash Punctuation 271
 
1.0%
Uppercase Letter 76
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1149
 
6.9%
서 1145
 
6.9%
천 1113
 
6.7%
로 1108
 
6.7%
인 1105
 
6.7%
광 1105
 
6.7%
시 1101
 
6.6%
구 1099
 
6.6%
역 1098
 
6.6%
길 745
 
4.5%
Other values (137) 5842
35.2%
Decimal Number
ValueCountFrequency (%)
1 1039
19.8%
2 696
13.3%
3 688
13.1%
0 513
9.8%
4 506
9.6%
9 408
 
7.8%
5 381
 
7.3%
7 371
 
7.1%
6 337
 
6.4%
8 313
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A 38
50.0%
B 29
38.2%
C 4
 
5.3%
E 3
 
3.9%
M 1
 
1.3%
D 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 339
99.1%
· 1
 
0.3%
/ 1
 
0.3%
? 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3795
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1067
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1067
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 271
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16610
58.3%
Common 11794
41.4%
Latin 76
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1149
 
6.9%
서 1145
 
6.9%
천 1113
 
6.7%
로 1108
 
6.7%
인 1105
 
6.7%
광 1105
 
6.7%
시 1101
 
6.6%
구 1099
 
6.6%
역 1098
 
6.6%
길 745
 
4.5%
Other values (137) 5842
35.2%
Common
ValueCountFrequency (%)
3795
32.2%
( 1067
 
9.0%
) 1067
 
9.0%
1 1039
 
8.8%
2 696
 
5.9%
3 688
 
5.8%
0 513
 
4.3%
4 506
 
4.3%
9 408
 
3.5%
5 381
 
3.2%
Other values (8) 1634
13.9%
Latin
ValueCountFrequency (%)
A 38
50.0%
B 29
38.2%
C 4
 
5.3%
E 3
 
3.9%
M 1
 
1.3%
D 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16610
58.3%
ASCII 11869
41.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3795
32.0%
( 1067
 
9.0%
) 1067
 
9.0%
1 1039
 
8.8%
2 696
 
5.9%
3 688
 
5.8%
0 513
 
4.3%
4 506
 
4.3%
9 408
 
3.4%
5 381
 
3.2%
Other values (13) 1709
14.4%
Hangul
ValueCountFrequency (%)
동 1149
 
6.9%
서 1145
 
6.9%
천 1113
 
6.7%
로 1108
 
6.7%
인 1105
 
6.7%
광 1105
 
6.7%
시 1101
 
6.6%
구 1099
 
6.6%
역 1098
 
6.6%
길 745
 
4.5%
Other values (137) 5842
35.2%
None
ValueCountFrequency (%)
· 1
100.0%

업종
Text

Distinct444
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-03-18T11:03:41.275910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length47
Mean length11.035492
Min length2

Characters and Unicode

Total characters12437
Distinct characters263
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

Unique346 ?
Unique (%)30.7%

Sample

1st row가공금속
2nd row세차시설
3rd row가공금속(알류미눔판제조)
4th row가공금속
5th row운수
ValueCountFrequency (%)
도금업 182
 
10.5%
인쇄회로기판제조업(26221 121
 
7.0%
및 115
 
6.7%
세차시설 47
 
2.7%
외 31
 
1.8%
자동차세차업 29
 
1.7%
자동차세차업(95213 27
 
1.6%
기타 24
 
1.4%
그 21
 
1.2%
가공금속 19
 
1.1%
Other values (592) 1110
64.3%
2024-03-18T11:03:41.651259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 893
 
7.2%
2 832
 
6.7%
609
 
4.9%
제 534
 
4.3%
조 450
 
3.6%
( 412
 
3.3%
) 411
 
3.3%
기 394
 
3.2%
1 382
 
3.1%
차 292
 
2.3%
Other values (253) 7228
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8813
70.9%
Decimal Number 2101
 
16.9%
Space Separator 609
 
4.9%
Open Punctuation 412
 
3.3%
Close Punctuation 411
 
3.3%
Other Punctuation 87
 
0.7%
Uppercase Letter 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 893
 
10.1%
제 534
 
6.1%
조 450
 
5.1%
기 394
 
4.5%
차 292
 
3.3%
금 291
 
3.3%
도 258
 
2.9%
및 232
 
2.6%
세 215
 
2.4%
리 170
 
1.9%
Other values (233) 5084
57.7%
Decimal Number
ValueCountFrequency (%)
2 832
39.6%
1 382
18.2%
9 217
 
10.3%
6 181
 
8.6%
3 156
 
7.4%
0 101
 
4.8%
5 92
 
4.4%
4 81
 
3.9%
7 36
 
1.7%
8 23
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 81
93.1%
? 4
 
4.6%
. 2
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
G 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
609
100.0%
Open Punctuation
ValueCountFrequency (%)
( 412
100.0%
Close Punctuation
ValueCountFrequency (%)
) 411
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8813
70.9%
Common 3621
29.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 893
 
10.1%
제 534
 
6.1%
조 450
 
5.1%
기 394
 
4.5%
차 292
 
3.3%
금 291
 
3.3%
도 258
 
2.9%
및 232
 
2.6%
세 215
 
2.4%
리 170
 
1.9%
Other values (233) 5084
57.7%
Common
ValueCountFrequency (%)
2 832
23.0%
609
16.8%
( 412
11.4%
) 411
11.4%
1 382
10.5%
9 217
 
6.0%
6 181
 
5.0%
3 156
 
4.3%
0 101
 
2.8%
5 92
 
2.5%
Other values (7) 228
 
6.3%
Latin
ValueCountFrequency (%)
L 1
33.3%
G 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8813
70.9%
ASCII 3624
29.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 893
 
10.1%
제 534
 
6.1%
조 450
 
5.1%
기 394
 
4.5%
차 292
 
3.3%
금 291
 
3.3%
도 258
 
2.9%
및 232
 
2.6%
세 215
 
2.4%
리 170
 
1.9%
Other values (233) 5084
57.7%
ASCII
ValueCountFrequency (%)
2 832
23.0%
609
16.8%
( 412
11.4%
) 411
11.3%
1 382
10.5%
9 217
 
6.0%
6 181
 
5.0%
3 156
 
4.3%
0 101
 
2.8%
5 92
 
2.5%
Other values (10) 231
 
6.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum2022-08-31 00:00:00
Maximum2022-08-31 00:00:00
2024-03-18T11:03:41.740597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:03:41.808664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T11:03:38.335594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T11:03:41.858261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수질
연번1.0000.108
수질0.1081.000
2024-03-18T11:03:41.920004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수질
연번1.0000.052
수질0.0521.000

Missing values

2024-03-18T11:03:38.452796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:03:38.594785image/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

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015서울프레스(주)(멸실)인천광역시 서구 가좌동 173-106인천광역시 서구 건지로 142(가좌동)가공금속2022-08-31
125신진택시(주)인천광역시 서구 가좌동 260-20인천광역시 서구 신진말로28번길 21(가좌동)세차시설2022-08-31
235(주)세화금속인천광역시 서구 가좌동 480-7인천광역시 서구 가좌로96번길 43(가좌동)가공금속(알류미눔판제조)2022-08-31
345경일산업사(멸실)인천광역시 서구 가좌동 173-66인천광역시 서구 염곡로 75(가좌동)가공금속2022-08-31
455(주)대도기업인천광역시 서구 가좌동 272-15인천광역시 서구 원적로17번길 16(가좌동)운수2022-08-31
565세진산업(2022.03.22. 멸실확인)인천광역시 서구 가좌동 173-99인천광역시 서구 건지로 122(가좌동)가공금속2022-08-31
675유창금속인천광역시 서구 가좌동 602-36(A-101)인천광역시 서구 중봉대로198번길 33, A-101(가좌동)도금업2022-08-31
785유성금속인천광역시 서구 가좌동 602-36(A-102)인천광역시 서구 중봉대로198번길 33, A-102(가좌동)도금업2022-08-31
895유성금속인천광역시 서구 가좌동 602-36(A-103)인천광역시 서구 중봉대로198번길 33, A-103(가좌동)도금업2022-08-31
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