Overview

Dataset statistics

Number of variables33
Number of observations461
Missing cells4337
Missing cells (%)28.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory125.7 KiB
Average record size in memory279.3 B

Variable types

Categorical9
Numeric7
DateTime4
Unsupported5
Text8

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),환경업무구분명,업종구분명,종별명,주생산품명,배출시설조업시간,배출시설연간가동일수,방지시설조업시간,방지시설연간가동일수
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-19369/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (67.6%)Imbalance
인허가취소일자 has 461 (100.0%) missing valuesMissing
폐업일자 has 269 (58.4%) missing valuesMissing
휴업시작일자 has 461 (100.0%) missing valuesMissing
휴업종료일자 has 461 (100.0%) missing valuesMissing
재개업일자 has 461 (100.0%) missing valuesMissing
전화번호 has 147 (31.9%) missing valuesMissing
소재지면적 has 461 (100.0%) missing valuesMissing
도로명주소 has 11 (2.4%) missing valuesMissing
도로명우편번호 has 168 (36.4%) missing valuesMissing
업태구분명 has 200 (43.4%) missing valuesMissing
좌표정보(X) has 7 (1.5%) missing valuesMissing
좌표정보(Y) has 7 (1.5%) missing valuesMissing
업종구분명 has 294 (63.8%) missing valuesMissing
주생산품명 has 442 (95.9%) missing valuesMissing
배출시설조업시간 has 116 (25.2%) missing valuesMissing
배출시설연간가동일수 has 114 (24.7%) missing valuesMissing
방지시설조업시간 has 135 (29.3%) missing valuesMissing
방지시설연간가동일수 has 122 (26.5%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 has 75 (16.3%) zerosZeros
배출시설연간가동일수 has 91 (19.7%) zerosZeros
방지시설조업시간 has 99 (21.5%) zerosZeros
방지시설연간가동일수 has 101 (21.9%) zerosZeros

Reproduction

Analysis started2024-04-29 19:54:43.387795
Analysis finished2024-04-29 19:54:44.394733
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
3170000
461 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 461
100.0%

Length

2024-04-30T04:54:44.452891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:44.525134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 461
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct461
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1700002 × 1017
Minimum3.1700002 × 1017
Maximum3.1700002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-30T04:54:44.611963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1700002 × 1017
5-th percentile3.1700002 × 1017
Q13.1700002 × 1017
median3.1700002 × 1017
Q33.1700002 × 1017
95-th percentile3.1700002 × 1017
Maximum3.1700002 × 1017
Range2500001
Interquartile range (IQR)1199872

Descriptive statistics

Standard deviation726585.82
Coefficient of variation (CV)2.2920687 × 10-12
Kurtosis-0.77869782
Mean3.1700002 × 1017
Median Absolute Deviation (MAD)100224
Skewness0.77556371
Sum-1.4369428 × 1018
Variance5.2792695 × 1011
MonotonicityStrictly increasing
2024-04-30T04:54:44.723562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
317000021199900001 1
 
0.2%
317000021200900030 1
 
0.2%
317000021200900028 1
 
0.2%
317000021200900027 1
 
0.2%
317000021200900025 1
 
0.2%
317000021200900024 1
 
0.2%
317000021200900023 1
 
0.2%
317000021200900022 1
 
0.2%
317000021200900021 1
 
0.2%
317000021200900020 1
 
0.2%
Other values (451) 451
97.8%
ValueCountFrequency (%)
317000021199900001 1
0.2%
317000021199900002 1
0.2%
317000021199900012 1
0.2%
317000021199900013 1
0.2%
317000021199900014 1
0.2%
317000021199900015 1
0.2%
317000021199900016 1
0.2%
317000021199900017 1
0.2%
317000021199900018 1
0.2%
317000021199900019 1
0.2%
ValueCountFrequency (%)
317000021202400002 1
0.2%
317000021202400001 1
0.2%
317000021202300006 1
0.2%
317000021202300005 1
0.2%
317000021202300004 1
0.2%
317000021202300003 1
0.2%
317000021202300002 1
0.2%
317000021202300001 1
0.2%
317000021202200008 1
0.2%
317000021202200007 1
0.2%

인허가일자
Date

Distinct397
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum1974-11-15 00:00:00
Maximum2024-04-01 00:00:00
2024-04-30T04:54:44.839901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:54:44.961790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing461
Missing (%)100.0%
Memory size4.2 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
3
198 
1
149 
4
114 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row1
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 198
43.0%
1 149
32.3%
4 114
24.7%

Length

2024-04-30T04:54:45.067051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:45.144262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 198
43.0%
1 149
32.3%
4 114
24.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
폐업
198 
영업/정상
149 
취소/말소/만료/정지/중지
114 

Length

Max length14
Median length5
Mean length5.9370933
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row영업/정상
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 198
43.0%
영업/정상 149
32.3%
취소/말소/만료/정지/중지 114
24.7%

Length

2024-04-30T04:54:45.236321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:45.334642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 198
43.0%
영업/정상 149
32.3%
취소/말소/만료/정지/중지 114
24.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2
198 
11
149 
4
114 

Length

Max length2
Median length1
Mean length1.3232104
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row11
4th row4
5th row4

Common Values

ValueCountFrequency (%)
2 198
43.0%
11 149
32.3%
4 114
24.7%

Length

2024-04-30T04:54:45.427420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:45.507760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 198
43.0%
11 149
32.3%
4 114
24.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
폐업
198 
영업
149 
폐쇄
114 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐쇄
2nd row폐쇄
3rd row영업
4th row폐쇄
5th row폐쇄

Common Values

ValueCountFrequency (%)
폐업 198
43.0%
영업 149
32.3%
폐쇄 114
24.7%

Length

2024-04-30T04:54:45.597829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:45.673129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 198
43.0%
영업 149
32.3%
폐쇄 114
24.7%

폐업일자
Date

MISSING 

Distinct181
Distinct (%)94.3%
Missing269
Missing (%)58.4%
Memory size3.7 KiB
Minimum2001-02-05 00:00:00
Maximum2024-04-03 00:00:00
2024-04-30T04:54:45.759901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:54:45.868823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing461
Missing (%)100.0%
Memory size4.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing461
Missing (%)100.0%
Memory size4.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing461
Missing (%)100.0%
Memory size4.2 KiB

전화번호
Text

MISSING 

Distinct301
Distinct (%)95.9%
Missing147
Missing (%)31.9%
Memory size3.7 KiB
2024-04-30T04:54:46.087656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.5955414
Min length7

Characters and Unicode

Total characters3013
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

Unique288 ?
Unique (%)91.7%

Sample

1st row02 8909114
2nd row02 8040271
3rd row02 8059682
4th row02856 0366
5th row02 8081809
ValueCountFrequency (%)
02 100
 
23.6%
028039611 2
 
0.5%
02-6004-5033 2
 
0.5%
8556466 2
 
0.5%
8960493 2
 
0.5%
8543131 2
 
0.5%
850-5430 2
 
0.5%
02-6230-6110 2
 
0.5%
028622712 2
 
0.5%
8302375 2
 
0.5%
Other values (297) 305
72.1%
2024-04-30T04:54:46.436504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 558
18.5%
2 448
14.9%
8 393
13.0%
6 236
7.8%
5 229
7.6%
1 214
 
7.1%
3 203
 
6.7%
7 170
 
5.6%
- 152
 
5.0%
9 150
 
5.0%
Other values (2) 260
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2751
91.3%
Dash Punctuation 152
 
5.0%
Space Separator 110
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 558
20.3%
2 448
16.3%
8 393
14.3%
6 236
8.6%
5 229
8.3%
1 214
 
7.8%
3 203
 
7.4%
7 170
 
6.2%
9 150
 
5.5%
4 150
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%
Space Separator
ValueCountFrequency (%)
110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3013
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 558
18.5%
2 448
14.9%
8 393
13.0%
6 236
7.8%
5 229
7.6%
1 214
 
7.1%
3 203
 
6.7%
7 170
 
5.6%
- 152
 
5.0%
9 150
 
5.0%
Other values (2) 260
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3013
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 558
18.5%
2 448
14.9%
8 393
13.0%
6 236
7.8%
5 229
7.6%
1 214
 
7.1%
3 203
 
6.7%
7 170
 
5.6%
- 152
 
5.0%
9 150
 
5.0%
Other values (2) 260
8.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing461
Missing (%)100.0%
Memory size4.2 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct14
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
361 
153023
44 
153011
 
33
153010
 
8
153031
 
4
Other values (9)
 
11

Length

Max length6
Median length4
Mean length4.4338395
Min length4

Unique

Unique7 ?
Unique (%)1.5%

Sample

1st row153030
2nd row153011
3rd row<NA>
4th row153011
5th row153031

Common Values

ValueCountFrequency (%)
<NA> 361
78.3%
153023 44
 
9.5%
153011 33
 
7.2%
153010 8
 
1.7%
153031 4
 
0.9%
null 2
 
0.4%
153813 2
 
0.4%
153030 1
 
0.2%
153033 1
 
0.2%
153012 1
 
0.2%
Other values (4) 4
 
0.9%

Length

2024-04-30T04:54:46.564232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 361
78.3%
153023 44
 
9.5%
153011 33
 
7.2%
153010 8
 
1.7%
153031 4
 
0.9%
null 2
 
0.4%
153813 2
 
0.4%
153030 1
 
0.2%
153033 1
 
0.2%
153012 1
 
0.2%
Other values (4) 4
 
0.9%

지번주소
Text

Distinct396
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-30T04:54:46.765784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length42
Mean length23.167028
Min length18

Characters and Unicode

Total characters10680
Distinct characters153
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique346 ?
Unique (%)75.1%

Sample

1st row서울특별시 금천구 시흥동 996번지
2nd row서울특별시 금천구 독산동 1007번지
3rd row서울특별시 금천구 독산동 1001-10 , 3번지
4th row서울특별시 금천구 독산동 295-6번지
5th row서울특별시 금천구 시흥동 992-27번지
ValueCountFrequency (%)
서울특별시 461
23.4%
금천구 461
23.4%
독산동 262
13.3%
가산동 174
 
8.9%
시흥동 26
 
1.3%
2층 11
 
0.6%
3층 6
 
0.3%
319-15번지 5
 
0.3%
219-8번지 4
 
0.2%
998-2번지 4
 
0.2%
Other values (460) 552
28.1%
2024-04-30T04:54:47.093548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1859
17.4%
시 487
 
4.6%
동 474
 
4.4%
금 467
 
4.4%
천 464
 
4.3%
서 463
 
4.3%
구 463
 
4.3%
특 461
 
4.3%
별 461
 
4.3%
울 461
 
4.3%
Other values (143) 4620
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6071
56.8%
Decimal Number 2254
 
21.1%
Space Separator 1859
 
17.4%
Dash Punctuation 441
 
4.1%
Uppercase Letter 40
 
0.4%
Other Punctuation 8
 
0.1%
Math Symbol 3
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 487
 
8.0%
동 474
 
7.8%
금 467
 
7.7%
천 464
 
7.6%
서 463
 
7.6%
구 463
 
7.6%
특 461
 
7.6%
별 461
 
7.6%
울 461
 
7.6%
산 440
 
7.2%
Other values (109) 1430
23.6%
Uppercase Letter
ValueCountFrequency (%)
B 5
12.5%
I 4
10.0%
T 4
10.0%
H 4
10.0%
Y 4
10.0%
C 4
10.0%
A 3
7.5%
G 2
 
5.0%
S 2
 
5.0%
K 1
 
2.5%
Other values (7) 7
17.5%
Decimal Number
ValueCountFrequency (%)
3 427
18.9%
1 408
18.1%
2 264
11.7%
0 260
11.5%
9 245
10.9%
4 170
 
7.5%
5 166
 
7.4%
6 116
 
5.1%
7 104
 
4.6%
8 94
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
/ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1859
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 441
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6071
56.8%
Common 4569
42.8%
Latin 40
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 487
 
8.0%
동 474
 
7.8%
금 467
 
7.7%
천 464
 
7.6%
서 463
 
7.6%
구 463
 
7.6%
특 461
 
7.6%
별 461
 
7.6%
울 461
 
7.6%
산 440
 
7.2%
Other values (109) 1430
23.6%
Common
ValueCountFrequency (%)
1859
40.7%
- 441
 
9.7%
3 427
 
9.3%
1 408
 
8.9%
2 264
 
5.8%
0 260
 
5.7%
9 245
 
5.4%
4 170
 
3.7%
5 166
 
3.6%
6 116
 
2.5%
Other values (7) 213
 
4.7%
Latin
ValueCountFrequency (%)
B 5
12.5%
I 4
10.0%
T 4
10.0%
H 4
10.0%
Y 4
10.0%
C 4
10.0%
A 3
7.5%
G 2
 
5.0%
S 2
 
5.0%
K 1
 
2.5%
Other values (7) 7
17.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6071
56.8%
ASCII 4609
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1859
40.3%
- 441
 
9.6%
3 427
 
9.3%
1 408
 
8.9%
2 264
 
5.7%
0 260
 
5.6%
9 245
 
5.3%
4 170
 
3.7%
5 166
 
3.6%
6 116
 
2.5%
Other values (24) 253
 
5.5%
Hangul
ValueCountFrequency (%)
시 487
 
8.0%
동 474
 
7.8%
금 467
 
7.7%
천 464
 
7.6%
서 463
 
7.6%
구 463
 
7.6%
특 461
 
7.6%
별 461
 
7.6%
울 461
 
7.6%
산 440
 
7.2%
Other values (109) 1430
23.6%

도로명주소
Text

MISSING 

Distinct407
Distinct (%)90.4%
Missing11
Missing (%)2.4%
Memory size3.7 KiB
2024-04-30T04:54:47.333976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length50
Mean length28.142222
Min length21

Characters and Unicode

Total characters12664
Distinct characters204
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique371 ?
Unique (%)82.4%

Sample

1st row서울특별시 금천구 금하로 594 (시흥동)
2nd row서울특별시 금천구 범안로 1200 (독산동)
3rd row서울특별시 금천구 벚꽃로 132 (독산동)
4th row서울특별시 금천구 시흥대로123길 47 (독산동)
5th row서울특별시 금천구 시흥대로57길 19-43 (시흥동)
ValueCountFrequency (%)
서울특별시 450
18.5%
금천구 450
18.5%
독산동 255
 
10.5%
가산동 161
 
6.6%
가산디지털1로 68
 
2.8%
벚꽃로 32
 
1.3%
가산디지털2로 30
 
1.2%
두산로 28
 
1.2%
범안로11길 24
 
1.0%
시흥동 22
 
0.9%
Other values (388) 910
37.4%
2024-04-30T04:54:47.719561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2123
 
16.8%
산 657
 
5.2%
시 525
 
4.1%
1 511
 
4.0%
동 470
 
3.7%
서 467
 
3.7%
금 459
 
3.6%
( 458
 
3.6%
) 458
 
3.6%
천 456
 
3.6%
Other values (194) 6080
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7579
59.8%
Space Separator 2123
 
16.8%
Decimal Number 1786
 
14.1%
Open Punctuation 458
 
3.6%
Close Punctuation 458
 
3.6%
Other Punctuation 154
 
1.2%
Uppercase Letter 57
 
0.5%
Dash Punctuation 46
 
0.4%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 657
 
8.7%
시 525
 
6.9%
동 470
 
6.2%
서 467
 
6.2%
금 459
 
6.1%
천 456
 
6.0%
구 453
 
6.0%
울 452
 
6.0%
특 450
 
5.9%
별 450
 
5.9%
Other values (163) 2740
36.2%
Uppercase Letter
ValueCountFrequency (%)
B 8
14.0%
C 8
14.0%
I 7
12.3%
G 6
10.5%
Y 6
10.5%
H 6
10.5%
T 4
7.0%
A 3
 
5.3%
L 3
 
5.3%
K 2
 
3.5%
Other values (3) 4
7.0%
Decimal Number
ValueCountFrequency (%)
1 511
28.6%
2 225
12.6%
3 177
 
9.9%
5 157
 
8.8%
4 156
 
8.7%
6 122
 
6.8%
7 119
 
6.7%
0 117
 
6.6%
9 106
 
5.9%
8 96
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 152
98.7%
& 1
 
0.6%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
2123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 458
100.0%
Close Punctuation
ValueCountFrequency (%)
) 458
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7579
59.8%
Common 5028
39.7%
Latin 57
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 657
 
8.7%
시 525
 
6.9%
동 470
 
6.2%
서 467
 
6.2%
금 459
 
6.1%
천 456
 
6.0%
구 453
 
6.0%
울 452
 
6.0%
특 450
 
5.9%
별 450
 
5.9%
Other values (163) 2740
36.2%
Common
ValueCountFrequency (%)
2123
42.2%
1 511
 
10.2%
( 458
 
9.1%
) 458
 
9.1%
2 225
 
4.5%
3 177
 
3.5%
5 157
 
3.1%
4 156
 
3.1%
, 152
 
3.0%
6 122
 
2.4%
Other values (8) 489
 
9.7%
Latin
ValueCountFrequency (%)
B 8
14.0%
C 8
14.0%
I 7
12.3%
G 6
10.5%
Y 6
10.5%
H 6
10.5%
T 4
7.0%
A 3
 
5.3%
L 3
 
5.3%
K 2
 
3.5%
Other values (3) 4
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7579
59.8%
ASCII 5085
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2123
41.8%
1 511
 
10.0%
( 458
 
9.0%
) 458
 
9.0%
2 225
 
4.4%
3 177
 
3.5%
5 157
 
3.1%
4 156
 
3.1%
, 152
 
3.0%
6 122
 
2.4%
Other values (21) 546
 
10.7%
Hangul
ValueCountFrequency (%)
산 657
 
8.7%
시 525
 
6.9%
동 470
 
6.2%
서 467
 
6.2%
금 459
 
6.1%
천 456
 
6.0%
구 453
 
6.0%
울 452
 
6.0%
특 450
 
5.9%
별 450
 
5.9%
Other values (163) 2740
36.2%

도로명우편번호
Text

MISSING 

Distinct71
Distinct (%)24.2%
Missing168
Missing (%)36.4%
Memory size3.7 KiB
2024-04-30T04:54:47.943618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.7849829
Min length5

Characters and Unicode

Total characters1695
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)9.9%

Sample

1st row153011
2nd row153828
3rd row153813
4th row153814
5th row153801
ValueCountFrequency (%)
153813 36
 
12.3%
153814 25
 
8.5%
153828 20
 
6.8%
153829 18
 
6.1%
153802 14
 
4.8%
153801 13
 
4.4%
153803 13
 
4.4%
153806 11
 
3.8%
153011 10
 
3.4%
153023 8
 
2.7%
Other values (61) 125
42.7%
2024-04-30T04:54:48.286760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 340
20.1%
8 308
18.2%
5 293
17.3%
3 290
17.1%
0 196
11.6%
2 100
 
5.9%
6 46
 
2.7%
4 43
 
2.5%
9 36
 
2.1%
- 23
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1672
98.6%
Dash Punctuation 23
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 340
20.3%
8 308
18.4%
5 293
17.5%
3 290
17.3%
0 196
11.7%
2 100
 
6.0%
6 46
 
2.8%
4 43
 
2.6%
9 36
 
2.2%
7 20
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1695
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 340
20.1%
8 308
18.2%
5 293
17.3%
3 290
17.1%
0 196
11.6%
2 100
 
5.9%
6 46
 
2.7%
4 43
 
2.5%
9 36
 
2.1%
- 23
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1695
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 340
20.1%
8 308
18.2%
5 293
17.3%
3 290
17.1%
0 196
11.6%
2 100
 
5.9%
6 46
 
2.7%
4 43
 
2.5%
9 36
 
2.1%
- 23
 
1.4%

사업장명
Text

Distinct411
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-30T04:54:48.493757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length7.64859
Min length2

Characters and Unicode

Total characters3526
Distinct characters342
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

Unique368 ?
Unique (%)79.8%

Sample

1st row대한전선(주)시흥전기공장
2nd row(주)제일미술
3rd row(주)영일프레시젼
4th row주식회사 대양브레이크
5th row대동금속
ValueCountFrequency (%)
주식회사 8
 
1.6%
주)신영프레시젼 4
 
0.8%
주)나래플랜 3
 
0.6%
엠포인트디자인 3
 
0.6%
모델솔루션(주 3
 
0.6%
금천점 3
 
0.6%
대진기업 3
 
0.6%
오토대안자동차공업사 3
 
0.6%
금호덴탈제약(주 3
 
0.6%
한빛디자인 2
 
0.4%
Other values (428) 470
93.1%
2024-04-30T04:54:48.819596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 249
 
7.1%
( 239
 
6.8%
) 239
 
6.8%
스 91
 
2.6%
업 89
 
2.5%
자 87
 
2.5%
동 68
 
1.9%
공 66
 
1.9%
이 64
 
1.8%
사 58
 
1.6%
Other values (332) 2276
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2909
82.5%
Open Punctuation 240
 
6.8%
Close Punctuation 240
 
6.8%
Uppercase Letter 78
 
2.2%
Space Separator 44
 
1.2%
Other Punctuation 9
 
0.3%
Decimal Number 4
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 249
 
8.6%
스 91
 
3.1%
업 89
 
3.1%
자 87
 
3.0%
동 68
 
2.3%
공 66
 
2.3%
이 64
 
2.2%
사 58
 
2.0%
대 56
 
1.9%
산 55
 
1.9%
Other values (297) 2026
69.6%
Uppercase Letter
ValueCountFrequency (%)
S 9
 
11.5%
G 8
 
10.3%
B 6
 
7.7%
D 6
 
7.7%
I 6
 
7.7%
T 5
 
6.4%
P 4
 
5.1%
N 4
 
5.1%
L 4
 
5.1%
J 3
 
3.8%
Other values (12) 23
29.5%
Decimal Number
ValueCountFrequency (%)
3 1
25.0%
4 1
25.0%
1 1
25.0%
2 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 7
77.8%
& 1
 
11.1%
, 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 239
99.6%
[ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 239
99.6%
] 1
 
0.4%
Space Separator
ValueCountFrequency (%)
44
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2909
82.5%
Common 537
 
15.2%
Latin 80
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 249
 
8.6%
스 91
 
3.1%
업 89
 
3.1%
자 87
 
3.0%
동 68
 
2.3%
공 66
 
2.3%
이 64
 
2.2%
사 58
 
2.0%
대 56
 
1.9%
산 55
 
1.9%
Other values (297) 2026
69.6%
Latin
ValueCountFrequency (%)
S 9
 
11.2%
G 8
 
10.0%
B 6
 
7.5%
D 6
 
7.5%
I 6
 
7.5%
T 5
 
6.2%
P 4
 
5.0%
N 4
 
5.0%
L 4
 
5.0%
J 3
 
3.8%
Other values (13) 25
31.2%
Common
ValueCountFrequency (%)
( 239
44.5%
) 239
44.5%
44
 
8.2%
. 7
 
1.3%
3 1
 
0.2%
4 1
 
0.2%
1 1
 
0.2%
2 1
 
0.2%
] 1
 
0.2%
[ 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2909
82.5%
ASCII 617
 
17.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 249
 
8.6%
스 91
 
3.1%
업 89
 
3.1%
자 87
 
3.0%
동 68
 
2.3%
공 66
 
2.3%
이 64
 
2.2%
사 58
 
2.0%
대 56
 
1.9%
산 55
 
1.9%
Other values (297) 2026
69.6%
ASCII
ValueCountFrequency (%)
( 239
38.7%
) 239
38.7%
44
 
7.1%
S 9
 
1.5%
G 8
 
1.3%
. 7
 
1.1%
B 6
 
1.0%
D 6
 
1.0%
I 6
 
1.0%
T 5
 
0.8%
Other values (25) 48
 
7.8%

최종수정일자
Date

UNIQUE 

Distinct461
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2001-02-05 11:21:43
Maximum2024-04-15 16:29:33
2024-04-30T04:54:48.932032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:54:49.047425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
I
245 
U
216 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowU
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 245
53.1%
U 216
46.9%

Length

2024-04-30T04:54:49.161099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:49.232719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 245
53.1%
u 216
46.9%

데이터갱신일자
Date

Distinct144
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2018-10-04 11:12:49
Maximum2023-12-04 00:03:00
2024-04-30T04:54:49.316089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:54:49.608537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct77
Distinct (%)29.5%
Missing200
Missing (%)43.4%
Memory size3.7 KiB
2024-04-30T04:54:49.760521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length11.444444
Min length3

Characters and Unicode

Total characters2987
Distinct characters157
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)18.8%

Sample

1st row조립금속제품 제조업 기계 및 가구 제외
2nd row주형 및 금형 제조업
3rd row도금업
4th row도금업
5th row도금업
ValueCountFrequency (%)
제조업 127
15.2%
기타 69
 
8.2%
및 62
 
7.4%
자동차 57
 
6.8%
수리업 57
 
6.8%
종합 52
 
6.2%
교시용 38
 
4.5%
모형 38
 
4.5%
플라스틱 21
 
2.5%
도장 18
 
2.2%
Other values (121) 298
35.6%
2024-04-30T04:54:50.035208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
576
19.3%
업 259
 
8.7%
제 182
 
6.1%
조 141
 
4.7%
기 90
 
3.0%
리 84
 
2.8%
자 72
 
2.4%
타 70
 
2.3%
형 66
 
2.2%
품 64
 
2.1%
Other values (147) 1383
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2403
80.4%
Space Separator 576
 
19.3%
Other Punctuation 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 259
 
10.8%
제 182
 
7.6%
조 141
 
5.9%
기 90
 
3.7%
리 84
 
3.5%
자 72
 
3.0%
타 70
 
2.9%
형 66
 
2.7%
품 64
 
2.7%
및 63
 
2.6%
Other values (143) 1312
54.6%
Other Punctuation
ValueCountFrequency (%)
, 6
75.0%
? 1
 
12.5%
; 1
 
12.5%
Space Separator
ValueCountFrequency (%)
576
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2403
80.4%
Common 584
 
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 259
 
10.8%
제 182
 
7.6%
조 141
 
5.9%
기 90
 
3.7%
리 84
 
3.5%
자 72
 
3.0%
타 70
 
2.9%
형 66
 
2.7%
품 64
 
2.7%
및 63
 
2.6%
Other values (143) 1312
54.6%
Common
ValueCountFrequency (%)
576
98.6%
, 6
 
1.0%
? 1
 
0.2%
; 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2403
80.4%
ASCII 584
 
19.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
576
98.6%
, 6
 
1.0%
? 1
 
0.2%
; 1
 
0.2%
Hangul
ValueCountFrequency (%)
업 259
 
10.8%
제 182
 
7.6%
조 141
 
5.9%
기 90
 
3.7%
리 84
 
3.5%
자 72
 
3.0%
타 70
 
2.9%
형 66
 
2.7%
품 64
 
2.7%
및 63
 
2.6%
Other values (143) 1312
54.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct314
Distinct (%)69.2%
Missing7
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean190190.71
Minimum188869.73
Maximum191726.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-30T04:54:50.154788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188869.73
5-th percentile189292.65
Q1189867.05
median190233.39
Q3190538.96
95-th percentile190951.49
Maximum191726.6
Range2856.8722
Interquartile range (IQR)671.90419

Descriptive statistics

Standard deviation518.10406
Coefficient of variation (CV)0.0027241292
Kurtosis-0.095106386
Mean190190.71
Median Absolute Deviation (MAD)321.48257
Skewness-0.15548517
Sum86346580
Variance268431.82
MonotonicityNot monotonic
2024-04-30T04:54:50.272608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189745.272395843 7
 
1.5%
189972.552916449 4
 
0.9%
190027.533931872 4
 
0.9%
190254.018100138 4
 
0.9%
189292.647937606 4
 
0.9%
189637.456694404 4
 
0.9%
189089.927764903 4
 
0.9%
189812.421197411 4
 
0.9%
190258.040066012 4
 
0.9%
190043.545652351 4
 
0.9%
Other values (304) 411
89.2%
(Missing) 7
 
1.5%
ValueCountFrequency (%)
188869.728136486 1
 
0.2%
188903.803869684 1
 
0.2%
188965.473671835 1
 
0.2%
188968.189711073 2
0.4%
188979.225789508 1
 
0.2%
189021.226992181 1
 
0.2%
189089.927764903 4
0.9%
189092.729912585 1
 
0.2%
189121.484597 1
 
0.2%
189141.907556686 1
 
0.2%
ValueCountFrequency (%)
191726.600362916 1
0.2%
191586.220424326 1
0.2%
191380.168094934 1
0.2%
191348.450842471 1
0.2%
191339.788672364 1
0.2%
191339.430795302 1
0.2%
191307.004413889 1
0.2%
191302.848718226 1
0.2%
191265.800797098 1
0.2%
191256.13116601 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct314
Distinct (%)69.2%
Missing7
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean440953.62
Minimum437151.96
Maximum442585.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-30T04:54:50.416064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437151.96
5-th percentile439341.16
Q1440705.16
median440981.46
Q3441268.38
95-th percentile442033.04
Maximum442585.93
Range5433.9682
Interquartile range (IQR)563.22754

Descriptive statistics

Standard deviation779.95791
Coefficient of variation (CV)0.0017687981
Kurtosis4.9255094
Mean440953.62
Median Absolute Deviation (MAD)286.3853
Skewness-1.4746612
Sum2.0019294 × 108
Variance608334.33
MonotonicityNot monotonic
2024-04-30T04:54:50.560437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441023.782098135 7
 
1.5%
441080.376788547 4
 
0.9%
441257.758464531 4
 
0.9%
440981.458311257 4
 
0.9%
441963.693320681 4
 
0.9%
441016.253713253 4
 
0.9%
442569.300676147 4
 
0.9%
440866.434242768 4
 
0.9%
440325.083640135 4
 
0.9%
440893.417691507 4
 
0.9%
Other values (304) 411
89.2%
(Missing) 7
 
1.5%
ValueCountFrequency (%)
437151.964988874 1
0.2%
437190.641074911 1
0.2%
437658.296922182 1
0.2%
437686.335605306 1
0.2%
437932.555286742 1
0.2%
438132.261946483 1
0.2%
438307.423372216 1
0.2%
438572.467986249 1
0.2%
438600.67963528 1
0.2%
438615.20224063 1
0.2%
ValueCountFrequency (%)
442585.933234852 1
 
0.2%
442569.300676147 4
0.9%
442523.612553394 1
 
0.2%
442493.020182986 1
 
0.2%
442417.454889416 1
 
0.2%
442386.805689679 1
 
0.2%
442382.690694868 1
 
0.2%
442378.911132657 1
 
0.2%
442318.581783677 2
0.4%
442298.443620325 1
 
0.2%

환경업무구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
대기배출업소관리
363 
<NA>
98 

Length

Max length8
Median length8
Mean length7.1496746
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대기배출업소관리
2nd row대기배출업소관리
3rd row<NA>
4th row대기배출업소관리
5th row대기배출업소관리

Common Values

ValueCountFrequency (%)
대기배출업소관리 363
78.7%
<NA> 98
 
21.3%

Length

2024-04-30T04:54:50.705427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:50.799778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 363
78.7%
na 98
 
21.3%

업종구분명
Text

MISSING 

Distinct59
Distinct (%)35.3%
Missing294
Missing (%)63.8%
Memory size3.7 KiB
2024-04-30T04:54:51.007891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length12.275449
Min length3

Characters and Unicode

Total characters2050
Distinct characters145
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)23.4%

Sample

1st row조립금속제품 제조업 기계 및 가구 제외
2nd row도금업
3rd row도금업
4th row플라스틱 접착테이프 및 기타 표면도포제품 제조업
5th row기타 금속처리업
ValueCountFrequency (%)
제조업 91
16.0%
기타 52
 
9.2%
및 50
 
8.8%
자동차 27
 
4.8%
수리업 27
 
4.8%
교시용 24
 
4.2%
모형 24
 
4.2%
종합 23
 
4.1%
플라스틱 19
 
3.4%
도장 13
 
2.3%
Other values (94) 217
38.3%
2024-04-30T04:54:51.365214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
400
19.5%
업 167
 
8.1%
제 135
 
6.6%
조 102
 
5.0%
기 70
 
3.4%
타 52
 
2.5%
및 50
 
2.4%
품 48
 
2.3%
리 46
 
2.2%
형 43
 
2.1%
Other values (135) 937
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1643
80.1%
Space Separator 400
 
19.5%
Other Punctuation 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 167
 
10.2%
제 135
 
8.2%
조 102
 
6.2%
기 70
 
4.3%
타 52
 
3.2%
및 50
 
3.0%
품 48
 
2.9%
리 46
 
2.8%
형 43
 
2.6%
도 37
 
2.3%
Other values (132) 893
54.4%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
; 1
 
14.3%
Space Separator
ValueCountFrequency (%)
400
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1643
80.1%
Common 407
 
19.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 167
 
10.2%
제 135
 
8.2%
조 102
 
6.2%
기 70
 
4.3%
타 52
 
3.2%
및 50
 
3.0%
품 48
 
2.9%
리 46
 
2.8%
형 43
 
2.6%
도 37
 
2.3%
Other values (132) 893
54.4%
Common
ValueCountFrequency (%)
400
98.3%
, 6
 
1.5%
; 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1643
80.1%
ASCII 407
 
19.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
400
98.3%
, 6
 
1.5%
; 1
 
0.2%
Hangul
ValueCountFrequency (%)
업 167
 
10.2%
제 135
 
8.2%
조 102
 
6.2%
기 70
 
4.3%
타 52
 
3.2%
및 50
 
3.0%
품 48
 
2.9%
리 46
 
2.8%
형 43
 
2.6%
도 37
 
2.3%
Other values (132) 893
54.4%

종별명
Categorical

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
5종
298 
<NA>
122 
4종
38 
3종
 
2
1종
 
1

Length

Max length4
Median length2
Mean length2.5292842
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row5종
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
5종 298
64.6%
<NA> 122
26.5%
4종 38
 
8.2%
3종 2
 
0.4%
1종 1
 
0.2%

Length

2024-04-30T04:54:51.482779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:51.586335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 298
64.6%
na 122
26.5%
4종 38
 
8.2%
3종 2
 
0.4%
1종 1
 
0.2%

주생산품명
Text

MISSING 

Distinct17
Distinct (%)89.5%
Missing442
Missing (%)95.9%
Memory size3.7 KiB
2024-04-30T04:54:51.729534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length5.6842105
Min length2

Characters and Unicode

Total characters108
Distinct characters61
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)84.2%

Sample

1st row서적
2nd row두부
3rd row핸드폰케이스(500만개)
4th row참고서 등
5th row집단급식
ValueCountFrequency (%)
필름 3
 
13.6%
두부 1
 
4.5%
서적 1
 
4.5%
도자기 1
 
4.5%
전자부품 1
 
4.5%
휴대폰케이스 1
 
4.5%
외장품 1
 
4.5%
플라스틱 1
 
4.5%
산업디자인샘플제작 1
 
4.5%
전자제품모형 1
 
4.5%
Other values (10) 10
45.5%
2024-04-30T04:54:51.969032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 5
 
4.6%
자 5
 
4.6%
드 5
 
4.6%
핸 4
 
3.7%
폰 4
 
3.7%
품 4
 
3.7%
름 3
 
2.8%
모 3
 
2.8%
형 3
 
2.8%
필 3
 
2.8%
Other values (51) 69
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97
89.8%
Decimal Number 4
 
3.7%
Space Separator 3
 
2.8%
Other Punctuation 2
 
1.9%
Open Punctuation 1
 
0.9%
Close Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 5
 
5.2%
자 5
 
5.2%
드 5
 
5.2%
핸 4
 
4.1%
폰 4
 
4.1%
품 4
 
4.1%
름 3
 
3.1%
모 3
 
3.1%
형 3
 
3.1%
필 3
 
3.1%
Other values (44) 58
59.8%
Decimal Number
ValueCountFrequency (%)
5 2
50.0%
0 2
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97
89.8%
Common 11
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 5
 
5.2%
자 5
 
5.2%
드 5
 
5.2%
핸 4
 
4.1%
폰 4
 
4.1%
품 4
 
4.1%
름 3
 
3.1%
모 3
 
3.1%
형 3
 
3.1%
필 3
 
3.1%
Other values (44) 58
59.8%
Common
ValueCountFrequency (%)
3
27.3%
5 2
18.2%
0 2
18.2%
( 1
 
9.1%
) 1
 
9.1%
/ 1
 
9.1%
, 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97
89.8%
ASCII 11
 
10.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 5
 
5.2%
자 5
 
5.2%
드 5
 
5.2%
핸 4
 
4.1%
폰 4
 
4.1%
품 4
 
4.1%
름 3
 
3.1%
모 3
 
3.1%
형 3
 
3.1%
필 3
 
3.1%
Other values (44) 58
59.8%
ASCII
ValueCountFrequency (%)
3
27.3%
5 2
18.2%
0 2
18.2%
( 1
 
9.1%
) 1
 
9.1%
/ 1
 
9.1%
, 1
 
9.1%

배출시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)5.5%
Missing116
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean6.8717391
Minimum0
Maximum24
Zeros75
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-30T04:54:52.092188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median8
Q38
95-th percentile17.6
Maximum24
Range24
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.1846394
Coefficient of variation (CV)0.75448722
Kurtosis2.9135439
Mean6.8717391
Median Absolute Deviation (MAD)0
Skewness1.1300087
Sum2370.75
Variance26.880485
MonotonicityNot monotonic
2024-04-30T04:54:52.208862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
8.0 202
43.8%
0.0 75
 
16.3%
24.0 13
 
2.8%
4.0 9
 
2.0%
3.0 6
 
1.3%
6.0 5
 
1.1%
12.0 5
 
1.1%
5.0 4
 
0.9%
10.0 4
 
0.9%
20.0 4
 
0.9%
Other values (9) 18
 
3.9%
(Missing) 116
25.2%
ValueCountFrequency (%)
0.0 75
 
16.3%
1.0 1
 
0.2%
2.0 4
 
0.9%
3.0 6
 
1.3%
4.0 9
 
2.0%
5.0 4
 
0.9%
6.0 5
 
1.1%
7.0 3
 
0.7%
8.0 202
43.8%
9.0 3
 
0.7%
ValueCountFrequency (%)
24.0 13
2.8%
20.0 4
 
0.9%
18.0 1
 
0.2%
16.0 1
 
0.2%
15.0 2
 
0.4%
14.0 2
 
0.4%
12.0 5
 
1.1%
10.0 4
 
0.9%
9.75 1
 
0.2%
9.0 3
 
0.7%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)5.8%
Missing114
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean213.88473
Minimum0
Maximum360
Zeros91
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-30T04:54:52.315337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile300
Maximum360
Range360
Interquartile range (IQR)300

Descriptive statistics

Standard deviation132.50871
Coefficient of variation (CV)0.61953331
Kurtosis-1.0573913
Mean213.88473
Median Absolute Deviation (MAD)0
Skewness-0.93725885
Sum74218
Variance17558.559
MonotonicityNot monotonic
2024-04-30T04:54:52.425161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
300 224
48.6%
0 91
19.7%
240 5
 
1.1%
252 4
 
0.9%
90 4
 
0.9%
360 2
 
0.4%
84 2
 
0.4%
180 2
 
0.4%
260 2
 
0.4%
286 1
 
0.2%
Other values (10) 10
 
2.2%
(Missing) 114
24.7%
ValueCountFrequency (%)
0 91
19.7%
72 1
 
0.2%
84 2
 
0.4%
90 4
 
0.9%
120 1
 
0.2%
144 1
 
0.2%
180 2
 
0.4%
200 1
 
0.2%
240 5
 
1.1%
252 4
 
0.9%
ValueCountFrequency (%)
360 2
 
0.4%
340 1
 
0.2%
324 1
 
0.2%
320 1
 
0.2%
313 1
 
0.2%
300 224
48.6%
288 1
 
0.2%
286 1
 
0.2%
275 1
 
0.2%
260 2
 
0.4%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)6.1%
Missing135
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean9.1288344
Minimum0
Maximum300
Zeros99
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-30T04:54:52.532696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile19.5
Maximum300
Range300
Interquartile range (IQR)8

Descriptive statistics

Standard deviation29.556027
Coefficient of variation (CV)3.2376562
Kurtosis86.53741
Mean9.1288344
Median Absolute Deviation (MAD)0
Skewness9.1419015
Sum2976
Variance873.55874
MonotonicityNot monotonic
2024-04-30T04:54:52.623312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8 176
38.2%
0 99
21.5%
24 10
 
2.2%
4 8
 
1.7%
3 5
 
1.1%
20 3
 
0.7%
300 3
 
0.7%
5 3
 
0.7%
6 3
 
0.7%
7 2
 
0.4%
Other values (10) 14
 
3.0%
(Missing) 135
29.3%
ValueCountFrequency (%)
0 99
21.5%
1 1
 
0.2%
2 2
 
0.4%
3 5
 
1.1%
4 8
 
1.7%
5 3
 
0.7%
6 3
 
0.7%
7 2
 
0.4%
8 176
38.2%
9 2
 
0.4%
ValueCountFrequency (%)
300 3
 
0.7%
144 1
 
0.2%
24 10
2.2%
20 3
 
0.7%
18 1
 
0.2%
16 1
 
0.2%
15 1
 
0.2%
14 1
 
0.2%
12 2
 
0.4%
10 2
 
0.4%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)6.2%
Missing122
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean204.22419
Minimum0
Maximum365
Zeros101
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-30T04:54:52.713228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile300
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation137.64751
Coefficient of variation (CV)0.67400199
Kurtosis-1.3583558
Mean204.22419
Median Absolute Deviation (MAD)0
Skewness-0.7672448
Sum69232
Variance18946.837
MonotonicityNot monotonic
2024-04-30T04:54:52.808223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
300 209
45.3%
0 101
21.9%
240 4
 
0.9%
360 3
 
0.7%
252 3
 
0.7%
180 2
 
0.4%
84 2
 
0.4%
260 2
 
0.4%
288 1
 
0.2%
365 1
 
0.2%
Other values (11) 11
 
2.4%
(Missing) 122
26.5%
ValueCountFrequency (%)
0 101
21.9%
1 1
 
0.2%
72 1
 
0.2%
84 2
 
0.4%
90 1
 
0.2%
120 1
 
0.2%
144 1
 
0.2%
180 2
 
0.4%
200 1
 
0.2%
210 1
 
0.2%
ValueCountFrequency (%)
365 1
 
0.2%
360 3
 
0.7%
324 1
 
0.2%
313 1
 
0.2%
300 209
45.3%
288 1
 
0.2%
286 1
 
0.2%
275 1
 
0.2%
260 2
 
0.4%
252 3
 
0.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0317000031700002119990000119741204<NA>4취소/말소/만료/정지/중지4폐쇄20020607<NA><NA><NA>02 8909114<NA>153030서울특별시 금천구 시흥동 996번지서울특별시 금천구 금하로 594 (시흥동)<NA>대한전선(주)시흥전기공장2002-06-07 11:18:17I2018-10-04 11:12:49.0조립금속제품 제조업 기계 및 가구 제외190815.144999438902.703645대기배출업소관리조립금속제품 제조업 기계 및 가구 제외<NA><NA>0.0000
1317000031700002119990000219780621<NA>4취소/말소/만료/정지/중지4폐쇄20031106<NA><NA><NA>02 8040271<NA>153011서울특별시 금천구 독산동 1007번지서울특별시 금천구 범안로 1200 (독산동)<NA>(주)제일미술2003-11-12 14:44:28I2018-10-04 11:12:49.0<NA>190643.065183440469.535662대기배출업소관리<NA>5종<NA>0.0000
2317000031700002119990001219960619<NA>1영업/정상11영업<NA><NA><NA><NA>02 8059682<NA><NA>서울특별시 금천구 독산동 1001-10 , 3번지서울특별시 금천구 벚꽃로 132 (독산동)153011(주)영일프레시젼2022-05-10 13:16:24U2021-12-04 23:02:00.0주형 및 금형 제조업190164.420376440543.229882<NA><NA><NA><NA><NA><NA><NA><NA>
3317000031700002119990001319971008<NA>4취소/말소/만료/정지/중지4폐쇄20021226<NA><NA><NA>02856 0366<NA>153011서울특별시 금천구 독산동 295-6번지서울특별시 금천구 시흥대로123길 47 (독산동)<NA>주식회사 대양브레이크2002-12-26 10:14:26I2018-10-04 11:12:49.0<NA>190694.009295441028.822661대기배출업소관리<NA><NA><NA>0.0000
4317000031700002119990001419990721<NA>4취소/말소/만료/정지/중지4폐쇄20020830<NA><NA><NA>02 8081809<NA>153031서울특별시 금천구 시흥동 992-27번지서울특별시 금천구 시흥대로57길 19-43 (시흥동)<NA>대동금속2002-08-30 17:53:48I2018-10-04 11:12:49.0도금업191036.37127438944.09319대기배출업소관리도금업<NA><NA>0.0000
5317000031700002119990001520000224<NA>4취소/말소/만료/정지/중지4폐쇄20020830<NA><NA><NA>02 8581308<NA>153031서울특별시 금천구 시흥동 992-27번지서울특별시 금천구 시흥대로57길 19-43 (시흥동)<NA>영광공업사2002-08-30 17:55:45I2018-10-04 11:12:49.0도금업191036.37127438944.09319대기배출업소관리도금업<NA><NA>0.0000
6317000031700002119990001620020214<NA>4취소/말소/만료/정지/중지4폐쇄20020704<NA><NA><NA><NA><NA>153011서울특별시 금천구 독산동 143-21번지서울특별시 금천구 시흥대로153길 36 (독산동)<NA>(주)티비케이전자2002-07-04 12:21:36I2018-10-04 11:12:49.0<NA>190779.505381441692.539006대기배출업소관리<NA><NA><NA>0.0000
7317000031700002119990001720020826<NA>1영업/정상11영업<NA><NA><NA><NA>02 8581308<NA><NA>서울특별시 금천구 독산동 998-16서울특별시 금천구 벚꽃로 164 (독산동)153828한국특수금속2022-10-12 18:22:53U2021-10-30 23:04:00.0도금업190059.274498440854.309016<NA><NA><NA><NA><NA><NA><NA><NA>
8317000031700002119990001820020826<NA>3폐업2폐업20150506<NA><NA><NA>02 8981528<NA><NA>서울특별시 금천구 독산동 293-9번지서울특별시 금천구 범안로19길 26 (독산동)153813대동특수도금2018-03-13 14:24:37I2018-10-04 11:12:49.0<NA>190702.92629440624.758875대기배출업소관리<NA>5종<NA>8.03008300
9317000031700002119990001920020903<NA>3폐업2폐업<NA><NA><NA><NA>0226358845<NA><NA>서울특별시 금천구 독산동 332-8번지서울특별시 금천구 범안로15길 27-7 (독산동)153814대동 그라비아2012-03-08 14:16:40I2018-10-04 11:12:49.0<NA>190409.287329440611.425928대기배출업소관리<NA>4종<NA>8.03008300
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
451317000031700002120220000720220721<NA>1영업/정상11영업<NA><NA><NA><NA>02-6230-6110<NA><NA>서울특별시 금천구 가산동 219-5서울특별시 금천구 디지털로10길 78, 111,113호 (가산동)08517엠엔에스이엔지(주)지점2023-01-02 13:25:05U2022-12-01 00:04:00.0교시용 모형 제조업190185.054136441381.452927<NA><NA><NA><NA><NA><NA><NA><NA>
452317000031700002120220000820230102<NA>1영업/정상11영업<NA><NA><NA><NA>02-808-9660<NA><NA>서울특별시 금천구 독산동 1004-2 청학빌딩서울특별시 금천구 벚꽃로14길 14, 청학빌딩 4층 (독산동)08601블루디자인2023-01-05 15:00:21U2022-12-01 00:07:00.0교시용 모형 제조업190274.139136440363.090042<NA><NA><NA><NA><NA><NA><NA><NA>
45331700003170000212023000012023-01-05<NA>1영업/정상11영업<NA><NA><NA><NA>02-895-0635<NA><NA>서울특별시 금천구 독산동 336-10 캐리마서울특별시 금천구 가산로3길 129, 캐리마 제비동 (독산동)08526(주)엠오엠티2023-02-10 13:44:04U2022-12-01 23:02:00.0플라스틱제품 제조업190050.499085441065.917079<NA><NA><NA><NA><NA><NA><NA><NA>
45431700003170000212023000022023-02-10<NA>1영업/정상11영업<NA><NA><NA><NA>02-549-0131<NA><NA>서울특별시 금천구 독산동 999-17서울특별시 금천구 범안로11길 65 (독산동)08582(주)워시스왓2023-03-21 15:59:29U2022-12-02 22:03:00.0가정용 세탁업190228.411969440823.421769<NA><NA><NA><NA><NA><NA><NA><NA>
45531700003170000212023000032023-03-22<NA>1영업/정상11영업<NA><NA><NA><NA>02-422-0310<NA><NA>서울특별시 금천구 가산동 60-26<NA><NA>주식회사 하나자산신탁(현대지식산업센터 가산 퍼블릭)2023-07-31 17:03:23U2022-12-08 00:02:00.0비주거용 건물 개발 및 공급업189930.507904441616.46071<NA><NA><NA><NA><NA><NA><NA><NA>
45631700003170000212023000042023-09-18<NA>1영업/정상11영업<NA><NA><NA><NA>02-6004-5033<NA><NA>서울특별시 금천구 독산동 302-14 (주)글로다임서울특별시 금천구 두산로7길 12 (주)글로다임 (독산동)08525(주)글로다임2023-09-19 17:21:43I2022-12-08 22:01:00.0전자부품 제조업190371.487235440986.209754<NA><NA><NA><NA><NA><NA><NA><NA>
45731700003170000212023000052023-09-26<NA>1영업/정상11영업<NA><NA><NA><NA>02-3279-1700<NA><NA>서울특별시 금천구 가산동 371-17 BYC HIGHCITY B동 22층, 23층서울특별시 금천구 가산디지털1로 131, BYC HIGHCITY (가산동)08506헨켈코리아(유) 서울지점2024-04-08 15:14:03U2023-12-03 23:00:00.0그외 기타 제품 제조업189522.336722441654.010373<NA><NA><NA><NA><NA><NA><NA><NA>
45831700003170000212023000062023-11-17<NA>1영업/정상11영업<NA><NA><NA><NA>02-2098-9114<NA><NA>서울특별시 금천구 독산동 291-1 현대지식산업센터서울특별시 금천구 두산로 70, 현대지식산업센터 (독산동)08584현대지식산업센터2024-01-12 13:55:25U2023-11-30 23:04:00.0사업시설 유지관리 서비스업190694.880295440764.426278<NA><NA><NA><NA><NA><NA><NA><NA>
45931700003170000212024000012024-01-31<NA>1영업/정상11영업<NA><NA><NA><NA>02-453-2580<NA><NA>서울특별시 금천구 독산동 143-8서울특별시 금천구 남부순환로 1314-22, 1층 106호 (독산동)08530앵글나라(주)2024-02-02 14:58:18U2023-12-02 00:04:00.0금속가구 제조업190884.422911441725.0201<NA><NA><NA><NA><NA><NA><NA><NA>
46031700003170000212024000022024-04-01<NA>1영업/정상11영업<NA><NA><NA><NA>02-6340-6967<NA><NA>서울특별시 금천구 가산동 327-27 이앤씨드림타워8차서울특별시 금천구 가산디지털1로 45, 이앤씨드림타워8차 1302, 1501, 1502호 (가산동)08592(주)에스케이쎈서2024-04-01 17:29:07I2023-12-04 00:03:00.0그외 기타 전자부품 제조업189812.421197440866.434243<NA><NA><NA><NA><NA><NA><NA><NA>