Overview

Dataset statistics

Number of variables33
Number of observations21
Missing cells227
Missing cells (%)32.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory291.3 B

Variable types

Categorical14
Numeric5
Unsupported7
Text6
DateTime1

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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-19342/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
도로명주소 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
환경업무구분명 has constant value ""Constant
영업상태코드 is highly imbalanced (54.4%)Imbalance
영업상태명 is highly imbalanced (54.4%)Imbalance
상세영업상태코드 is highly imbalanced (54.4%)Imbalance
상세영업상태명 is highly imbalanced (54.4%)Imbalance
폐업일자 is highly imbalanced (65.4%)Imbalance
휴업시작일자 is highly imbalanced (72.4%)Imbalance
휴업종료일자 is highly imbalanced (72.4%)Imbalance
도로명우편번호 is highly imbalanced (72.4%)Imbalance
데이터갱신일자 is highly imbalanced (72.4%)Imbalance
배출시설연간가동일수 is highly imbalanced (72.4%)Imbalance
방지시설연간가동일수 is highly imbalanced (72.4%)Imbalance
인허가취소일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 17 (81.0%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
소재지우편번호 has 1 (4.8%) missing valuesMissing
도로명주소 has 20 (95.2%) missing valuesMissing
업태구분명 has 10 (47.6%) missing valuesMissing
좌표정보(X) has 11 (52.4%) missing valuesMissing
좌표정보(Y) has 11 (52.4%) missing valuesMissing
업종구분명 has 10 (47.6%) missing valuesMissing
종별명 has 21 (100.0%) missing valuesMissing
주생산품명 has 21 (100.0%) missing valuesMissing
배출시설조업시간 has 21 (100.0%) missing valuesMissing
방지시설조업시간 has 21 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
종별명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주생산품명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방지시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:53:57.079950
Analysis finished2024-04-29 19:53:57.689879
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3150000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 21
100.0%

Length

2024-04-30T04:53:57.747725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:57.817310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 21
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1500005 × 1017
Minimum3.1500005 × 1017
Maximum3.1500005 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T04:53:57.912821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1500005 × 1017
5-th percentile3.1500005 × 1017
Q13.1500005 × 1017
median3.1500005 × 1017
Q33.1500005 × 1017
95-th percentile3.1500005 × 1017
Maximum3.1500005 × 1017
Range2.021 × 108
Interquartile range (IQR)2 × 108

Descriptive statistics

Standard deviation1.024808 × 108
Coefficient of variation (CV)3.253358 × 10-10
Kurtosis-2.2103614
Mean3.1500005 × 1017
Median Absolute Deviation (MAD)3600000
Skewness-0.10272051
Sum6.6150011 × 1018
Variance1.0502313 × 1016
MonotonicityStrictly increasing
2024-04-30T04:53:58.033046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
315000054000000001 1
 
4.8%
315000054000000002 1
 
4.8%
315000054202100001 1
 
4.8%
315000054201000002 1
 
4.8%
315000054200900002 1
 
4.8%
315000054200100002 1
 
4.8%
315000054200100001 1
 
4.8%
315000054200000005 1
 
4.8%
315000054200000004 1
 
4.8%
315000054200000003 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
315000054000000001 1
4.8%
315000054000000002 1
4.8%
315000054000000009 1
4.8%
315000054000000010 1
4.8%
315000054000000013 1
4.8%
315000054000000014 1
4.8%
315000054000000015 1
4.8%
315000054000000017 1
4.8%
315000054000000018 1
4.8%
315000054000000019 1
4.8%
ValueCountFrequency (%)
315000054202100001 1
4.8%
315000054201000002 1
4.8%
315000054200900002 1
4.8%
315000054200100002 1
4.8%
315000054200100001 1
4.8%
315000054200000005 1
4.8%
315000054200000004 1
4.8%
315000054200000003 1
4.8%
315000054200000002 1
4.8%
315000054200000001 1
4.8%

인허가일자
Real number (ℝ)

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20017417
Minimum19851028
Maximum20211129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T04:53:58.144637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19851028
5-th percentile19950607
Q120001009
median20010414
Q320020819
95-th percentile20101201
Maximum20211129
Range360101
Interquartile range (IQR)19810

Descriptive statistics

Standard deviation65285.157
Coefficient of variation (CV)0.0032614176
Kurtosis4.9513756
Mean20017417
Median Absolute Deviation (MAD)9914
Skewness0.65145034
Sum4.2036576 × 108
Variance4.2621518 × 109
MonotonicityNot monotonic
2024-04-30T04:53:58.248948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20001007 2
 
9.5%
20020819 2
 
9.5%
20001009 1
 
4.8%
20211129 1
 
4.8%
20101201 1
 
4.8%
20091023 1
 
4.8%
20010522 1
 
4.8%
20010309 1
 
4.8%
20020124 1
 
4.8%
20001107 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
19851028 1
4.8%
19950607 1
4.8%
19980525 1
4.8%
20001007 2
9.5%
20001009 1
4.8%
20001028 1
4.8%
20001107 1
4.8%
20010309 1
4.8%
20010406 1
4.8%
20010414 1
4.8%
ValueCountFrequency (%)
20211129 1
4.8%
20101201 1
4.8%
20091023 1
4.8%
20031022 1
4.8%
20020819 2
9.5%
20020329 1
4.8%
20020328 1
4.8%
20020124 1
4.8%
20010522 1
4.8%
20010414 1
4.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
18 
3
2 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 18
85.7%
3 2
 
9.5%
2 1
 
4.8%

Length

2024-04-30T04:53:58.353713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:58.431512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
85.7%
3 2
 
9.5%
2 1
 
4.8%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
18 
폐업
2 
휴업
 
1

Length

Max length5
Median length5
Mean length4.5714286
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 18
85.7%
폐업 2
 
9.5%
휴업 1
 
4.8%

Length

2024-04-30T04:53:58.533952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:58.629750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 18
85.7%
폐업 2
 
9.5%
휴업 1
 
4.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
11
18 
2
2 
1
 
1

Length

Max length2
Median length2
Mean length1.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
11 18
85.7%
2 2
 
9.5%
1 1
 
4.8%

Length

2024-04-30T04:53:58.724494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:58.813192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 18
85.7%
2 2
 
9.5%
1 1
 
4.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업
18 
폐업
2 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업 18
85.7%
폐업 2
 
9.5%
휴업 1
 
4.8%

Length

2024-04-30T04:53:58.896353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:58.987526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 18
85.7%
폐업 2
 
9.5%
휴업 1
 
4.8%

폐업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
19 
20110428
 
1
20150225
 
1

Length

Max length8
Median length4
Mean length4.3809524
Min length4

Unique

Unique2 ?
Unique (%)9.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
90.5%
20110428 1
 
4.8%
20150225 1
 
4.8%

Length

2024-04-30T04:53:59.084015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:59.173586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
90.5%
20110428 1
 
4.8%
20150225 1
 
4.8%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
20100730
 
1

Length

Max length8
Median length4
Mean length4.1904762
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
20100730 1
 
4.8%

Length

2024-04-30T04:53:59.270015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:59.359598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
20100730 1
 
4.8%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
20110201
 
1

Length

Max length8
Median length4
Mean length4.1904762
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
20110201 1
 
4.8%

Length

2024-04-30T04:53:59.462330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:59.556963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
20110201 1
 
4.8%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

전화번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing17
Missing (%)81.0%
Memory size300.0 B
2024-04-30T04:53:59.665283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9
Min length8

Characters and Unicode

Total characters36
Distinct characters11
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

Unique4 ?
Unique (%)100.0%

Sample

1st row26617540
2nd row02 659 9535
3rd row26902376
4th row2692-0196
ValueCountFrequency (%)
26617540 1
16.7%
02 1
16.7%
659 1
16.7%
9535 1
16.7%
26902376 1
16.7%
2692-0196 1
16.7%
2024-04-30T04:53:59.903329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 7
19.4%
2 6
16.7%
9 5
13.9%
5 4
11.1%
0 4
11.1%
1 2
 
5.6%
7 2
 
5.6%
2
 
5.6%
3 2
 
5.6%
4 1
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33
91.7%
Space Separator 2
 
5.6%
Dash Punctuation 1
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 7
21.2%
2 6
18.2%
9 5
15.2%
5 4
12.1%
0 4
12.1%
1 2
 
6.1%
7 2
 
6.1%
3 2
 
6.1%
4 1
 
3.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 7
19.4%
2 6
16.7%
9 5
13.9%
5 4
11.1%
0 4
11.1%
1 2
 
5.6%
7 2
 
5.6%
2
 
5.6%
3 2
 
5.6%
4 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 7
19.4%
2 6
16.7%
9 5
13.9%
5 4
11.1%
0 4
11.1%
1 2
 
5.6%
7 2
 
5.6%
2
 
5.6%
3 2
 
5.6%
4 1
 
2.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)60.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean170000.5
Minimum157010
Maximum413010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T04:54:00.014952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157010
5-th percentile157010
Q1157030
median157201
Q3157290
95-th percentile170669.75
Maximum413010
Range256000
Interquartile range (IQR)260

Descriptive statistics

Standard deviation57199.058
Coefficient of variation (CV)0.33646406
Kurtosis19.999091
Mean170000.5
Median Absolute Deviation (MAD)168
Skewness4.471991
Sum3400010
Variance3.2717322 × 109
MonotonicityNot monotonic
2024-04-30T04:54:00.109848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
157290 4
19.0%
157033 3
14.3%
157201 2
9.5%
157010 2
9.5%
157030 2
9.5%
157011 1
 
4.8%
157815 1
 
4.8%
157016 1
 
4.8%
413010 1
 
4.8%
157282 1
 
4.8%
Other values (2) 2
9.5%
ValueCountFrequency (%)
157010 2
9.5%
157011 1
 
4.8%
157016 1
 
4.8%
157030 2
9.5%
157033 3
14.3%
157201 2
9.5%
157220 1
 
4.8%
157282 1
 
4.8%
157290 4
19.0%
157815 1
 
4.8%
ValueCountFrequency (%)
413010 1
 
4.8%
157915 1
 
4.8%
157815 1
 
4.8%
157290 4
19.0%
157282 1
 
4.8%
157220 1
 
4.8%
157201 2
9.5%
157033 3
14.3%
157030 2
9.5%
157016 1
 
4.8%

지번주소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-30T04:54:00.269063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length36
Mean length25.904762
Min length19

Characters and Unicode

Total characters544
Distinct characters71
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row서울특별시 강서구 가양동 52-1
2nd row서울특별시 강서구 화곡동 1068-22
3rd row서울특별시 강서구 등촌동 673-6
4th row서울특별시 강서구 등촌동 696 세신그린코아 514호
5th row서울특별시 강서구 등촌동 647-26 서울창업보육센타 B동 201호
ValueCountFrequency (%)
서울특별시 20
19.8%
강서구 20
19.8%
화곡동 6
 
5.9%
등촌동 5
 
5.0%
외발산동 4
 
4.0%
424 3
 
3.0%
647-26 2
 
2.0%
76호 2
 
2.0%
가양동 2
 
2.0%
수협공판장내 2
 
2.0%
Other values (35) 35
34.7%
2024-04-30T04:54:00.590355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
21.7%
서 42
 
7.7%
울 22
 
4.0%
동 22
 
4.0%
시 21
 
3.9%
별 20
 
3.7%
강 20
 
3.7%
구 20
 
3.7%
특 20
 
3.7%
- 17
 
3.1%
Other values (61) 222
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
54.6%
Space Separator 118
 
21.7%
Decimal Number 110
 
20.2%
Dash Punctuation 17
 
3.1%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 42
14.1%
울 22
 
7.4%
동 22
 
7.4%
시 21
 
7.1%
별 20
 
6.7%
강 20
 
6.7%
구 20
 
6.7%
특 20
 
6.7%
화 9
 
3.0%
호 7
 
2.4%
Other values (47) 94
31.6%
Decimal Number
ValueCountFrequency (%)
2 17
15.5%
4 16
14.5%
1 16
14.5%
6 16
14.5%
7 14
12.7%
5 8
7.3%
0 7
6.4%
3 7
6.4%
9 5
 
4.5%
8 4
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
54.6%
Common 245
45.0%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 42
14.1%
울 22
 
7.4%
동 22
 
7.4%
시 21
 
7.1%
별 20
 
6.7%
강 20
 
6.7%
구 20
 
6.7%
특 20
 
6.7%
화 9
 
3.0%
호 7
 
2.4%
Other values (47) 94
31.6%
Common
ValueCountFrequency (%)
118
48.2%
- 17
 
6.9%
2 17
 
6.9%
4 16
 
6.5%
1 16
 
6.5%
6 16
 
6.5%
7 14
 
5.7%
5 8
 
3.3%
0 7
 
2.9%
3 7
 
2.9%
Other values (2) 9
 
3.7%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
54.6%
ASCII 247
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
47.8%
- 17
 
6.9%
2 17
 
6.9%
4 16
 
6.5%
1 16
 
6.5%
6 16
 
6.5%
7 14
 
5.7%
5 8
 
3.2%
0 7
 
2.8%
3 7
 
2.8%
Other values (4) 11
 
4.5%
Hangul
ValueCountFrequency (%)
서 42
14.1%
울 22
 
7.4%
동 22
 
7.4%
시 21
 
7.1%
별 20
 
6.7%
강 20
 
6.7%
구 20
 
6.7%
특 20
 
6.7%
화 9
 
3.0%
호 7
 
2.4%
Other values (47) 94
31.6%

도로명주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing20
Missing (%)95.2%
Memory size300.0 B
2024-04-30T04:54:00.731223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length27
Mean length27
Min length27

Characters and Unicode

Total characters27
Distinct characters20
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

Unique1 ?
Unique (%)100.0%

Sample

1st row서울특별시 강서구 화곡로14길 27-1 (화곡동)
ValueCountFrequency (%)
서울특별시 1
20.0%
강서구 1
20.0%
화곡로14길 1
20.0%
27-1 1
20.0%
화곡동 1
20.0%
2024-04-30T04:54:00.988950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
 
14.8%
서 2
 
7.4%
화 2
 
7.4%
곡 2
 
7.4%
1 2
 
7.4%
4 1
 
3.7%
동 1
 
3.7%
( 1
 
3.7%
- 1
 
3.7%
7 1
 
3.7%
Other values (10) 10
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15
55.6%
Decimal Number 5
 
18.5%
Space Separator 4
 
14.8%
Open Punctuation 1
 
3.7%
Dash Punctuation 1
 
3.7%
Close Punctuation 1
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2
13.3%
화 2
13.3%
곡 2
13.3%
동 1
6.7%
길 1
6.7%
로 1
6.7%
울 1
6.7%
구 1
6.7%
강 1
6.7%
시 1
6.7%
Other values (2) 2
13.3%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
4 1
20.0%
7 1
20.0%
2 1
20.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15
55.6%
Common 12
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2
13.3%
화 2
13.3%
곡 2
13.3%
동 1
6.7%
길 1
6.7%
로 1
6.7%
울 1
6.7%
구 1
6.7%
강 1
6.7%
시 1
6.7%
Other values (2) 2
13.3%
Common
ValueCountFrequency (%)
4
33.3%
1 2
16.7%
4 1
 
8.3%
( 1
 
8.3%
- 1
 
8.3%
7 1
 
8.3%
2 1
 
8.3%
) 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15
55.6%
ASCII 12
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
33.3%
1 2
16.7%
4 1
 
8.3%
( 1
 
8.3%
- 1
 
8.3%
7 1
 
8.3%
2 1
 
8.3%
) 1
 
8.3%
Hangul
ValueCountFrequency (%)
서 2
13.3%
화 2
13.3%
곡 2
13.3%
동 1
6.7%
길 1
6.7%
로 1
6.7%
울 1
6.7%
구 1
6.7%
강 1
6.7%
시 1
6.7%
Other values (2) 2
13.3%

도로명우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
7718
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
7718 1
 
4.8%

Length

2024-04-30T04:54:01.088310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:01.165932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
7718 1
 
4.8%

사업장명
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-30T04:54:01.302356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.3809524
Min length4

Characters and Unicode

Total characters155
Distinct characters54
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)81.0%

Sample

1st row대상(주)
2nd row(주)세화환경
3rd row성원산업개발(주)
4th row(주)유진공영
5th row(주)제오텍
ValueCountFrequency (%)
수림환경 2
 
8.3%
수림환경(주 2
 
8.3%
대상(주 1
 
4.2%
주)닉시안 1
 
4.2%
성원그린(주 1
 
4.2%
아주종합건설(주 1
 
4.2%
주)스와테크 1
 
4.2%
주)프렌비 1
 
4.2%
주)상원이엔씨 1
 
4.2%
주)비엔엘환경 1
 
4.2%
Other values (12) 12
50.0%
2024-04-30T04:54:01.575850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 21
 
13.5%
( 19
 
12.3%
) 19
 
12.3%
환 10
 
6.5%
경 10
 
6.5%
수 4
 
2.6%
림 4
 
2.6%
설 3
 
1.9%
원 3
 
1.9%
3
 
1.9%
Other values (44) 59
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
73.5%
Open Punctuation 19
 
12.3%
Close Punctuation 19
 
12.3%
Space Separator 3
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 21
 
18.4%
환 10
 
8.8%
경 10
 
8.8%
수 4
 
3.5%
림 4
 
3.5%
설 3
 
2.6%
원 3
 
2.6%
영 2
 
1.8%
엔 2
 
1.8%
종 2
 
1.8%
Other values (41) 53
46.5%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
73.5%
Common 41
 
26.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 21
 
18.4%
환 10
 
8.8%
경 10
 
8.8%
수 4
 
3.5%
림 4
 
3.5%
설 3
 
2.6%
원 3
 
2.6%
영 2
 
1.8%
엔 2
 
1.8%
종 2
 
1.8%
Other values (41) 53
46.5%
Common
ValueCountFrequency (%)
( 19
46.3%
) 19
46.3%
3
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114
73.5%
ASCII 41
 
26.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 21
 
18.4%
환 10
 
8.8%
경 10
 
8.8%
수 4
 
3.5%
림 4
 
3.5%
설 3
 
2.6%
원 3
 
2.6%
영 2
 
1.8%
엔 2
 
1.8%
종 2
 
1.8%
Other values (41) 53
46.5%
ASCII
ValueCountFrequency (%)
( 19
46.3%
) 19
46.3%
3
 
7.3%

최종수정일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2000-10-07 11:06:17
Maximum2021-11-29 10:26:21
2024-04-30T04:54:01.671727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:54:01.773811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 21
100.0%

Length

2024-04-30T04:54:01.870208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:01.942841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 21
100.0%

데이터갱신일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2018-08-31 23:59:59.0
20 
2021-12-01 00:22:43.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 20
95.2%
2021-12-01 00:22:43.0 1
 
4.8%

Length

2024-04-30T04:54:02.028046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:02.114712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 20
47.6%
23:59:59.0 20
47.6%
2021-12-01 1
 
2.4%
00:22:43.0 1
 
2.4%

업태구분명
Text

MISSING 

Distinct6
Distinct (%)54.5%
Missing10
Missing (%)47.6%
Memory size300.0 B
2024-04-30T04:54:02.242447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length10.454545
Min length2

Characters and Unicode

Total characters115
Distinct characters27
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

Unique4 ?
Unique (%)36.4%

Sample

1st row분뇨 및 축산폐기물 처리업
2nd row하수, 분뇨 및 축산폐기물 처리업
3rd row분뇨 및 축산폐기물 처리업
4th row분뇨 및 축산폐기물 처리업
5th row농업
ValueCountFrequency (%)
분뇨 8
24.2%
처리업 8
24.2%
및 5
15.2%
축산폐기물 4
12.1%
하수 1
 
3.0%
농업 1
 
3.0%
하수처리 1
 
3.0%
폐기물처리 1
 
3.0%
청소관련 1
 
3.0%
서비스업 1
 
3.0%
Other values (2) 2
 
6.1%
2024-04-30T04:54:02.491740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
19.1%
업 11
9.6%
처 10
 
8.7%
리 10
 
8.7%
분 8
 
7.0%
뇨 8
 
7.0%
및 5
 
4.3%
폐 5
 
4.3%
기 5
 
4.3%
물 5
 
4.3%
Other values (17) 26
22.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91
79.1%
Space Separator 22
 
19.1%
Other Punctuation 2
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 11
12.1%
처 10
11.0%
리 10
11.0%
분 8
 
8.8%
뇨 8
 
8.8%
및 5
 
5.5%
폐 5
 
5.5%
기 5
 
5.5%
물 5
 
5.5%
축 4
 
4.4%
Other values (15) 20
22.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91
79.1%
Common 24
 
20.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 11
12.1%
처 10
11.0%
리 10
11.0%
분 8
 
8.8%
뇨 8
 
8.8%
및 5
 
5.5%
폐 5
 
5.5%
기 5
 
5.5%
물 5
 
5.5%
축 4
 
4.4%
Other values (15) 20
22.0%
Common
ValueCountFrequency (%)
22
91.7%
, 2
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91
79.1%
ASCII 24
 
20.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
91.7%
, 2
 
8.3%
Hangul
ValueCountFrequency (%)
업 11
12.1%
처 10
11.0%
리 10
11.0%
분 8
 
8.8%
뇨 8
 
8.8%
및 5
 
5.5%
폐 5
 
5.5%
기 5
 
5.5%
물 5
 
5.5%
축 4
 
4.4%
Other values (15) 20
22.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)80.0%
Missing11
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean185451.78
Minimum183914.94
Maximum188023.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T04:54:02.607777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183914.94
5-th percentile183914.94
Q1183993.64
median185641.46
Q3186313.37
95-th percentile187390.92
Maximum188023.6
Range4108.6618
Interquartile range (IQR)2319.7354

Descriptive statistics

Standard deviation1423.8152
Coefficient of variation (CV)0.0076775495
Kurtosis-0.85068356
Mean185451.78
Median Absolute Deviation (MAD)1193.9568
Skewness0.34846119
Sum1854517.8
Variance2027249.8
MonotonicityNot monotonic
2024-04-30T04:54:02.698913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
183914.938310002 3
 
14.3%
186301.875540288 1
 
4.8%
188023.60012538 1
 
4.8%
185914.514475763 1
 
4.8%
186617.653704143 1
 
4.8%
184229.740132067 1
 
4.8%
186317.207037672 1
 
4.8%
185368.413894206 1
 
4.8%
(Missing) 11
52.4%
ValueCountFrequency (%)
183914.938310002 3
14.3%
184229.740132067 1
 
4.8%
185368.413894206 1
 
4.8%
185914.514475763 1
 
4.8%
186301.875540288 1
 
4.8%
186317.207037672 1
 
4.8%
186617.653704143 1
 
4.8%
188023.60012538 1
 
4.8%
ValueCountFrequency (%)
188023.60012538 1
 
4.8%
186617.653704143 1
 
4.8%
186317.207037672 1
 
4.8%
186301.875540288 1
 
4.8%
185914.514475763 1
 
4.8%
185368.413894206 1
 
4.8%
184229.740132067 1
 
4.8%
183914.938310002 3
14.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)80.0%
Missing11
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean449868.95
Minimum448373.1
Maximum451462.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T04:54:02.784677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448373.1
5-th percentile448493.04
Q1449435.12
median450066.37
Q3450085.01
95-th percentile451207.94
Maximum451462.35
Range3089.2527
Interquartile range (IQR)649.8919

Descriptive statistics

Standard deviation932.13417
Coefficient of variation (CV)0.0020720127
Kurtosis-0.02329721
Mean449868.95
Median Absolute Deviation (MAD)559.04167
Skewness-0.030303352
Sum4498689.5
Variance868874.11
MonotonicityNot monotonic
2024-04-30T04:54:02.880471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
450085.01457343 3
 
14.3%
450896.992532972 1
 
4.8%
450047.730772546 1
 
4.8%
448639.627629597 1
 
4.8%
449651.747644142 1
 
4.8%
449362.914352826 1
 
4.8%
451462.350090067 1
 
4.8%
448373.097413347 1
 
4.8%
(Missing) 11
52.4%
ValueCountFrequency (%)
448373.097413347 1
 
4.8%
448639.627629597 1
 
4.8%
449362.914352826 1
 
4.8%
449651.747644142 1
 
4.8%
450047.730772546 1
 
4.8%
450085.01457343 3
14.3%
450896.992532972 1
 
4.8%
451462.350090067 1
 
4.8%
ValueCountFrequency (%)
451462.350090067 1
 
4.8%
450896.992532972 1
 
4.8%
450085.01457343 3
14.3%
450047.730772546 1
 
4.8%
449651.747644142 1
 
4.8%
449362.914352826 1
 
4.8%
448639.627629597 1
 
4.8%
448373.097413347 1
 
4.8%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
분뇨등설계시공업관리
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분뇨등설계시공업관리 21
100.0%

Length

2024-04-30T04:54:02.987623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:03.255286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨등설계시공업관리 21
100.0%

업종구분명
Text

MISSING 

Distinct6
Distinct (%)54.5%
Missing10
Missing (%)47.6%
Memory size300.0 B
2024-04-30T04:54:03.374814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length10.454545
Min length2

Characters and Unicode

Total characters115
Distinct characters27
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

Unique4 ?
Unique (%)36.4%

Sample

1st row분뇨 및 축산폐기물 처리업
2nd row하수, 분뇨 및 축산폐기물 처리업
3rd row분뇨 및 축산폐기물 처리업
4th row분뇨 및 축산폐기물 처리업
5th row농업
ValueCountFrequency (%)
분뇨 8
24.2%
처리업 8
24.2%
및 5
15.2%
축산폐기물 4
12.1%
하수 1
 
3.0%
농업 1
 
3.0%
하수처리 1
 
3.0%
폐기물처리 1
 
3.0%
청소관련 1
 
3.0%
서비스업 1
 
3.0%
Other values (2) 2
 
6.1%
2024-04-30T04:54:03.627438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
19.1%
업 11
9.6%
처 10
 
8.7%
리 10
 
8.7%
분 8
 
7.0%
뇨 8
 
7.0%
및 5
 
4.3%
폐 5
 
4.3%
기 5
 
4.3%
물 5
 
4.3%
Other values (17) 26
22.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91
79.1%
Space Separator 22
 
19.1%
Other Punctuation 2
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 11
12.1%
처 10
11.0%
리 10
11.0%
분 8
 
8.8%
뇨 8
 
8.8%
및 5
 
5.5%
폐 5
 
5.5%
기 5
 
5.5%
물 5
 
5.5%
축 4
 
4.4%
Other values (15) 20
22.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91
79.1%
Common 24
 
20.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 11
12.1%
처 10
11.0%
리 10
11.0%
분 8
 
8.8%
뇨 8
 
8.8%
및 5
 
5.5%
폐 5
 
5.5%
기 5
 
5.5%
물 5
 
5.5%
축 4
 
4.4%
Other values (15) 20
22.0%
Common
ValueCountFrequency (%)
22
91.7%
, 2
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91
79.1%
ASCII 24
 
20.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
91.7%
, 2
 
8.3%
Hangul
ValueCountFrequency (%)
업 11
12.1%
처 10
11.0%
리 10
11.0%
분 8
 
8.8%
뇨 8
 
8.8%
및 5
 
5.5%
폐 5
 
5.5%
기 5
 
5.5%
물 5
 
5.5%
축 4
 
4.4%
Other values (15) 20
22.0%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

배출시설연간가동일수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-04-30T04:54:03.741923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:03.833440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

방지시설연간가동일수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-04-30T04:54:03.938356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:04.042460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0315000031500005400000000120001028<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157201서울특별시 강서구 가양동 52-1<NA><NA>대상(주)2000-10-30 10:22:28I2018-08-31 23:59:59.0분뇨 및 축산폐기물 처리업<NA><NA>분뇨등설계시공업관리분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
1315000031500005400000000219950607<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157010서울특별시 강서구 화곡동 1068-22<NA><NA>(주)세화환경2001-01-30 09:33:19I2018-08-31 23:59:59.0하수, 분뇨 및 축산폐기물 처리업<NA><NA>분뇨등설계시공업관리하수, 분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
2315000031500005400000000919980525<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157033서울특별시 강서구 등촌동 673-6<NA><NA>성원산업개발(주)2000-12-04 09:54:54I2018-08-31 23:59:59.0분뇨 및 축산폐기물 처리업<NA><NA>분뇨등설계시공업관리분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
3315000031500005400000001020010414<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157033서울특별시 강서구 등촌동 696 세신그린코아 514호<NA><NA>(주)유진공영2001-04-16 09:37:28I2018-08-31 23:59:59.0분뇨 및 축산폐기물 처리업186301.87554450896.992533분뇨등설계시공업관리분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
4315000031500005400000001320010406<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157030서울특별시 강서구 등촌동 647-26 서울창업보육센타 B동 201호<NA><NA>(주)제오텍2001-04-06 17:24:15I2018-08-31 23:59:59.0농업188023.600125450047.730773분뇨등설계시공업관리농업<NA><NA><NA><NA><NA><NA>
5315000031500005400000001420020328<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157290서울특별시 강서구 외발산동 424 수협공판장내 76호<NA><NA>수림환경2002-03-28 10:43:51I2018-08-31 23:59:59.0<NA>183914.93831450085.014573분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
6315000031500005400000001520020329<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157010서울특별시 강서구 화곡동 401-1<NA><NA>등영 산업 개발(주)2002-03-29 15:41:39I2018-08-31 23:59:59.0<NA>185914.514476448639.62763분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
7315000031500005400000001720020819<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157011서울특별시 강서구 화곡동 372-15<NA><NA>아주환경(주)2002-08-19 13:22:41I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
8315000031500005400000001820020819<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157815서울특별시 강서구 공항동 281 김포국제공항 국제화물청사314호<NA><NA>(주)씨케이 환경2007-11-13 09:00:52I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
9315000031500005400000001920031022<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157290서울특별시 강서구 외발산동 424<NA><NA>수림환경2003-10-22 11:33:25I2018-08-31 23:59:59.0<NA>183914.93831450085.014573분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
11315000031500005420000000120001007<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157033서울특별시 강서구 등촌동 664-8<NA><NA>(주)닉시안2000-10-07 11:31:59I2018-08-31 23:59:59.0분뇨 처리업<NA><NA>분뇨등설계시공업관리분뇨 처리업<NA><NA><NA><NA><NA><NA>
12315000031500005420000000220001007<NA>2휴업1휴업<NA>2010073020110201<NA>26617540<NA>157290서울특별시 강서구 외발산동 217-13<NA><NA>(주)비엔엘환경2010-11-03 10:53:22I2018-08-31 23:59:59.0<NA>184229.740132449362.914353분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
13315000031500005420000000320001009<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>413010경기도 파주시 금촌동 945-27<NA><NA>(주)상원이엔씨2000-10-09 09:33:00I2018-08-31 23:59:59.0분뇨 처리업<NA><NA>분뇨등설계시공업관리분뇨 처리업<NA><NA><NA><NA><NA><NA>
14315000031500005420000000420001107<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157282서울특별시 강서구 내발산동 647-1 우청화빌딩 비-302호<NA><NA>수림환경(주)2000-11-08 09:45:30I2018-08-31 23:59:59.0분뇨 처리업<NA><NA>분뇨등설계시공업관리분뇨 처리업<NA><NA><NA><NA><NA><NA>
15315000031500005420000000520020124<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157290서울특별시 강서구 외발산동 424 수협공판장내 76호<NA><NA>수림환경(주)2002-01-24 15:53:25I2018-08-31 23:59:59.0<NA>183914.93831450085.014573분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
16315000031500005420010000120010309<NA>1영업/정상11영업<NA><NA><NA><NA>02 659 9535<NA>157030서울특별시 강서구 등촌동 647-26 서울창업센타 A-210<NA><NA>(주)프렌비2001-03-09 10:44:13I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
17315000031500005420010000220010522<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>157220서울특별시 강서구 방화동 598-120<NA><NA>(주)스와테크2001-05-22 17:51:44I2018-08-31 23:59:59.0하수처리, 폐기물처리 및 청소관련 서비스업<NA><NA>분뇨등설계시공업관리하수처리, 폐기물처리 및 청소관련 서비스업<NA><NA><NA><NA><NA><NA>
18315000031500005420090000220091023<NA>3폐업2폐업20110428<NA><NA><NA><NA><NA>157201서울특별시 강서구 가양동 54-6<NA><NA>아주종합건설(주)2011-05-02 09:42:03I2018-08-31 23:59:59.0종합 건설업186317.207038451462.35009분뇨등설계시공업관리종합 건설업<NA><NA><NA><NA><NA><NA>
19315000031500005420100000220101201<NA>3폐업2폐업20150225<NA><NA><NA>26902376<NA>157915서울특별시 강서구 화곡동 976 7통세실빌딩 401호<NA><NA>성원그린(주)2015-02-25 17:05:42I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
20315000031500005420210000120211129<NA>1영업/정상11영업<NA><NA><NA><NA>2692-0196<NA><NA>서울특별시 강서구 화곡동 377-52서울특별시 강서구 화곡로14길 27-1 (화곡동)7718(주)한국종합환경컨설팅2021-11-29 10:26:21I2021-12-01 00:22:43.0<NA>185368.413894448373.097413분뇨등설계시공업관리<NA><NA><NA><NA>0<NA>0