Overview

Dataset statistics

Number of variables36
Number of observations5147
Missing cells48305
Missing cells (%)26.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory308.0 B

Variable types

Numeric13
Categorical9
Unsupported5
Text8
DateTime1

Dataset

Description6270000_대구광역시_09_30_08_P_대기오염물질배출시설설치사업장_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091673&dataSetDetailId=DDI_0000091709&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
환경업무구분명 has constant value ""Constant
인허가일자 has 140 (2.7%) missing valuesMissing
인허가취소일자 has 5147 (100.0%) missing valuesMissing
폐업일자 has 2591 (50.3%) missing valuesMissing
휴업시작일자 has 5147 (100.0%) missing valuesMissing
휴업종료일자 has 5147 (100.0%) missing valuesMissing
재개업일자 has 5147 (100.0%) missing valuesMissing
소재지전화 has 731 (14.2%) missing valuesMissing
소재지면적 has 5147 (100.0%) missing valuesMissing
소재지우편번호 has 3832 (74.5%) missing valuesMissing
소재지전체주소 has 118 (2.3%) missing valuesMissing
도로명전체주소 has 1320 (25.6%) missing valuesMissing
도로명우편번호 has 3315 (64.4%) missing valuesMissing
업태구분명 has 1745 (33.9%) missing valuesMissing
좌표정보(X) has 1192 (23.2%) missing valuesMissing
좌표정보(Y) has 1192 (23.2%) missing valuesMissing
업종구분명 has 1745 (33.9%) missing valuesMissing
주생산품명 has 3666 (71.2%) missing valuesMissing
배출시설조업시간 has 63 (1.2%) missing valuesMissing
배출시설연간가동일수 has 66 (1.3%) missing valuesMissing
방지시설조업시간 has 453 (8.8%) missing valuesMissing
방지시설연간가동일수 has 401 (7.8%) missing valuesMissing
폐업일자 is highly skewed (γ1 = -49.00677156)Skewed
배출시설조업시간 is highly skewed (γ1 = 45.05111782)Skewed
번호 has unique valuesUnique
관리번호 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 1661 (32.3%) zerosZeros
배출시설연간가동일수 has 1677 (32.6%) zerosZeros
방지시설조업시간 has 1694 (32.9%) zerosZeros
방지시설연간가동일수 has 1716 (33.3%) zerosZeros

Reproduction

Analysis started2024-04-21 01:54:14.604177
Analysis finished2024-04-21 01:54:17.095527
Duration2.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2574
Minimum1
Maximum5147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-21T10:54:17.225527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile258.3
Q11287.5
median2574
Q33860.5
95-th percentile4889.7
Maximum5147
Range5146
Interquartile range (IQR)2573

Descriptive statistics

Standard deviation1485.9552
Coefficient of variation (CV)0.57729419
Kurtosis-1.2
Mean2574
Median Absolute Deviation (MAD)1287
Skewness0
Sum13248378
Variance2208063
MonotonicityStrictly increasing
2024-04-21T10:54:17.479164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3380 1
 
< 0.1%
3438 1
 
< 0.1%
3437 1
 
< 0.1%
3436 1
 
< 0.1%
3435 1
 
< 0.1%
3434 1
 
< 0.1%
3433 1
 
< 0.1%
3432 1
 
< 0.1%
3431 1
 
< 0.1%
Other values (5137) 5137
99.8%
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 (%)
5147 1
< 0.1%
5146 1
< 0.1%
5145 1
< 0.1%
5144 1
< 0.1%
5143 1
< 0.1%
5142 1
< 0.1%
5141 1
< 0.1%
5140 1
< 0.1%
5139 1
< 0.1%
5138 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
대기오염물질배출시설설치사업장
5147 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대기오염물질배출시설설치사업장 5147
100.0%

Length

2024-04-21T10:54:17.704737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:54:17.935797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 5147
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
09_30_08_P
5147 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_08_P
2nd row09_30_08_P
3rd row09_30_08_P
4th row09_30_08_P
5th row09_30_08_P

Common Values

ValueCountFrequency (%)
09_30_08_P 5147
100.0%

Length

2024-04-21T10:54:18.098551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:54:18.256769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 5147
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3455434.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-21T10:54:18.397039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3430000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation18898.467
Coefficient of variation (CV)0.0054692018
Kurtosis-1.1354464
Mean3455434.2
Median Absolute Deviation (MAD)20000
Skewness-0.38317266
Sum1.778512 × 1010
Variance3.5715206 × 108
MonotonicityIncreasing
2024-04-21T10:54:18.594137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1692
32.9%
3450000 1308
25.4%
3430000 1092
21.2%
3480000 724
14.1%
3420000 172
 
3.3%
3460000 104
 
2.0%
3410000 36
 
0.7%
3440000 19
 
0.4%
ValueCountFrequency (%)
3410000 36
 
0.7%
3420000 172
 
3.3%
3430000 1092
21.2%
3440000 19
 
0.4%
3450000 1308
25.4%
3460000 104
 
2.0%
3470000 1692
32.9%
3480000 724
14.1%
ValueCountFrequency (%)
3480000 724
14.1%
3470000 1692
32.9%
3460000 104
 
2.0%
3450000 1308
25.4%
3440000 19
 
0.4%
3430000 1092
21.2%
3420000 172
 
3.3%
3410000 36
 
0.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4554344 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-21T10:54:18.829591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4100002 × 1017
5-th percentile3.4300002 × 1017
Q13.4300002 × 1017
median3.4500002 × 1017
Q33.4700002 × 1017
95-th percentile3.4800002 × 1017
Maximum3.4800002 × 1017
Range7 × 1015
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation1.8898467 × 1015
Coefficient of variation (CV)0.0054692014
Kurtosis-1.1354464
Mean3.4554344 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.38317266
Sum7.624678 × 1018
Variance3.5715206 × 1030
MonotonicityNot monotonic
2024-04-21T10:54:19.108048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021202000001 1
 
< 0.1%
347000021190100039 1
 
< 0.1%
347000021200300004 1
 
< 0.1%
347000021200300003 1
 
< 0.1%
347000021201700036 1
 
< 0.1%
347000021201700032 1
 
< 0.1%
347000021201700017 1
 
< 0.1%
347000021200000028 1
 
< 0.1%
347000021200000027 1
 
< 0.1%
347000021199300014 1
 
< 0.1%
Other values (5137) 5137
99.8%
ValueCountFrequency (%)
341000021200400001 1
< 0.1%
341000021200400002 1
< 0.1%
341000021200700001 1
< 0.1%
341000021201400001 1
< 0.1%
341000021201500001 1
< 0.1%
341000021201500002 1
< 0.1%
341000021201500004 1
< 0.1%
341000021201500005 1
< 0.1%
341000021201500006 1
< 0.1%
341000021201500008 1
< 0.1%
ValueCountFrequency (%)
348000021202100023 1
< 0.1%
348000021202100022 1
< 0.1%
348000021202100021 1
< 0.1%
348000021202100020 1
< 0.1%
348000021202100019 1
< 0.1%
348000021202100018 1
< 0.1%
348000021202100017 1
< 0.1%
348000021202100016 1
< 0.1%
348000021202100015 1
< 0.1%
348000021202100014 1
< 0.1%

인허가일자
Real number (ℝ)

MISSING 

Distinct3180
Distinct (%)63.5%
Missing140
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean20016143
Minimum19010101
Maximum20210928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-21T10:54:19.408597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19840847
Q119960960
median20040604
Q320111018
95-th percentile20180981
Maximum20210928
Range1200827
Interquartile range (IQR)150059

Descriptive statistics

Standard deviation172189.94
Coefficient of variation (CV)0.0086025535
Kurtosis20.615133
Mean20016143
Median Absolute Deviation (MAD)70510
Skewness-3.9417648
Sum1.0022083 × 1011
Variance2.9649375 × 1010
MonotonicityNot monotonic
2024-04-21T10:54:19.680404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19010101 100
 
1.9%
20040701 76
 
1.5%
20040702 48
 
0.9%
19840210 41
 
0.8%
20040621 36
 
0.7%
20040628 25
 
0.5%
20040630 24
 
0.5%
20120322 23
 
0.4%
19940427 16
 
0.3%
20151231 13
 
0.3%
Other values (3170) 4605
89.5%
(Missing) 140
 
2.7%
ValueCountFrequency (%)
19010101 100
1.9%
19240212 1
 
< 0.1%
19740905 1
 
< 0.1%
19760816 1
 
< 0.1%
19780108 1
 
< 0.1%
19780201 1
 
< 0.1%
19780807 1
 
< 0.1%
19780906 1
 
< 0.1%
19781004 1
 
< 0.1%
19781123 1
 
< 0.1%
ValueCountFrequency (%)
20210928 1
< 0.1%
20210914 1
< 0.1%
20210909 2
< 0.1%
20210903 1
< 0.1%
20210831 1
< 0.1%
20210819 1
< 0.1%
20210818 1
< 0.1%
20210811 1
< 0.1%
20210809 1
< 0.1%
20210803 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5147
Missing (%)100.0%
Memory size45.4 KiB
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
3
2137 
1
2032 
4
978 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2137
41.5%
1 2032
39.5%
4 978
19.0%

Length

2024-04-21T10:54:19.914288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:54:20.081136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2137
41.5%
1 2032
39.5%
4 978
19.0%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
폐업
2137 
영업/정상
2032 
취소/말소/만료/정지/중지
978 

Length

Max length14
Median length5
Mean length5.4645425
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2137
41.5%
영업/정상 2032
39.5%
취소/말소/만료/정지/중지 978
19.0%

Length

2024-04-21T10:54:20.270074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:54:20.444850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2137
41.5%
영업/정상 2032
39.5%
취소/말소/만료/정지/중지 978
19.0%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
2
2137 
11
2032 
4
978 

Length

Max length2
Median length1
Mean length1.3947931
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 2137
41.5%
11 2032
39.5%
4 978
19.0%

Length

2024-04-21T10:54:20.637580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:54:20.815805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2137
41.5%
11 2032
39.5%
4 978
19.0%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
폐업
2137 
영업
2032 
폐쇄
978 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2137
41.5%
영업 2032
39.5%
폐쇄 978
19.0%

Length

2024-04-21T10:54:21.001062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:54:21.167732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2137
41.5%
영업 2032
39.5%
폐쇄 978
19.0%

폐업일자
Real number (ℝ)

MISSING  SKEWED 

Distinct1494
Distinct (%)58.5%
Missing2591
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean20086892
Minimum199705
Maximum20210923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-21T10:54:21.549625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199705
5-th percentile20030111
Q120041026
median20081008
Q320140904
95-th percentile20200630
Maximum20210923
Range20011218
Interquartile range (IQR)99878.5

Descriptive statistics

Standard deviation397615.54
Coefficient of variation (CV)0.019794777
Kurtosis2452.0964
Mean20086892
Median Absolute Deviation (MAD)40307
Skewness-49.006772
Sum5.1342096 × 1010
Variance1.5809812 × 1011
MonotonicityNot monotonic
2024-04-21T10:54:21.816272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160418 114
 
2.2%
20040104 109
 
2.1%
20081118 69
 
1.3%
20081008 52
 
1.0%
20081006 39
 
0.8%
20040701 38
 
0.7%
20040907 21
 
0.4%
20091221 17
 
0.3%
20040706 13
 
0.3%
20040630 11
 
0.2%
Other values (1484) 2073
40.3%
(Missing) 2591
50.3%
ValueCountFrequency (%)
199705 1
< 0.1%
19920817 1
< 0.1%
19930721 1
< 0.1%
19940225 1
< 0.1%
19941231 1
< 0.1%
19950531 1
< 0.1%
19961129 1
< 0.1%
19970123 1
< 0.1%
19970206 1
< 0.1%
19970220 1
< 0.1%
ValueCountFrequency (%)
20210923 1
 
< 0.1%
20210913 1
 
< 0.1%
20210830 1
 
< 0.1%
20210826 1
 
< 0.1%
20210805 1
 
< 0.1%
20210802 1
 
< 0.1%
20210730 1
 
< 0.1%
20210729 1
 
< 0.1%
20210727 8
0.2%
20210722 1
 
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5147
Missing (%)100.0%
Memory size45.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5147
Missing (%)100.0%
Memory size45.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5147
Missing (%)100.0%
Memory size45.4 KiB

소재지전화
Text

MISSING 

Distinct4114
Distinct (%)93.2%
Missing731
Missing (%)14.2%
Memory size40.3 KiB
2024-04-21T10:54:22.778610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.8870018
Min length3

Characters and Unicode

Total characters43661
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3840 ?
Unique (%)87.0%

Sample

1st row0534310803
2nd row593-3198
3rd row053-250-5555
4th row053-251-6019
5th row0534288984
ValueCountFrequency (%)
053 756
 
11.2%
581 121
 
1.8%
354 85
 
1.3%
353 85
 
1.3%
582 78
 
1.2%
357 77
 
1.1%
358 73
 
1.1%
356 71
 
1.1%
583 67
 
1.0%
351 63
 
0.9%
Other values (3999) 5251
78.1%
2024-04-21T10:54:24.234472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 8901
20.4%
3 7006
16.0%
0 6127
14.0%
1 3720
8.5%
8 3108
 
7.1%
6 2930
 
6.7%
2 2603
 
6.0%
2341
 
5.4%
7 2200
 
5.0%
4 2089
 
4.8%
Other values (4) 2636
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40439
92.6%
Space Separator 2341
 
5.4%
Dash Punctuation 879
 
2.0%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 8901
22.0%
3 7006
17.3%
0 6127
15.2%
1 3720
9.2%
8 3108
 
7.7%
6 2930
 
7.2%
2 2603
 
6.4%
7 2200
 
5.4%
4 2089
 
5.2%
9 1755
 
4.3%
Space Separator
ValueCountFrequency (%)
2341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 879
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43661
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 8901
20.4%
3 7006
16.0%
0 6127
14.0%
1 3720
8.5%
8 3108
 
7.1%
6 2930
 
6.7%
2 2603
 
6.0%
2341
 
5.4%
7 2200
 
5.0%
4 2089
 
4.8%
Other values (4) 2636
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43661
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 8901
20.4%
3 7006
16.0%
0 6127
14.0%
1 3720
8.5%
8 3108
 
7.1%
6 2930
 
6.7%
2 2603
 
6.0%
2341
 
5.4%
7 2200
 
5.0%
4 2089
 
4.8%
Other values (4) 2636
 
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5147
Missing (%)100.0%
Memory size45.4 KiB

소재지우편번호
Text

MISSING 

Distinct142
Distinct (%)10.8%
Missing3832
Missing (%)74.5%
Memory size40.3 KiB
2024-04-21T10:54:25.062407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters7890
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)4.0%

Sample

1st row700761
2nd row701040
3rd row701300
4th row701230
5th row701260
ValueCountFrequency (%)
702083 235
 
17.9%
704190 63
 
4.8%
703830 58
 
4.4%
702050 58
 
4.4%
704900 55
 
4.2%
704330 39
 
3.0%
711855 38
 
2.9%
704801 37
 
2.8%
704400 36
 
2.7%
704170 35
 
2.7%
Other values (132) 661
50.3%
2024-04-21T10:54:26.270922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2504
31.7%
7 1395
17.7%
3 829
 
10.5%
4 678
 
8.6%
2 628
 
8.0%
8 618
 
7.8%
1 559
 
7.1%
9 234
 
3.0%
5 223
 
2.8%
82
 
1.0%
Other values (4) 140
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7748
98.2%
Space Separator 82
 
1.0%
Lowercase Letter 60
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2504
32.3%
7 1395
18.0%
3 829
 
10.7%
4 678
 
8.8%
2 628
 
8.1%
8 618
 
8.0%
1 559
 
7.2%
9 234
 
3.0%
5 223
 
2.9%
6 80
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
l 30
50.0%
n 15
25.0%
u 15
25.0%
Space Separator
ValueCountFrequency (%)
82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7830
99.2%
Latin 60
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2504
32.0%
7 1395
17.8%
3 829
 
10.6%
4 678
 
8.7%
2 628
 
8.0%
8 618
 
7.9%
1 559
 
7.1%
9 234
 
3.0%
5 223
 
2.8%
82
 
1.0%
Latin
ValueCountFrequency (%)
l 30
50.0%
n 15
25.0%
u 15
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7890
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2504
31.7%
7 1395
17.7%
3 829
 
10.5%
4 678
 
8.6%
2 628
 
8.0%
8 618
 
7.8%
1 559
 
7.1%
9 234
 
3.0%
5 223
 
2.8%
82
 
1.0%
Other values (4) 140
 
1.8%

소재지전체주소
Text

MISSING 

Distinct3964
Distinct (%)78.8%
Missing118
Missing (%)2.3%
Memory size40.3 KiB
2024-04-21T10:54:27.669513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length21.867369
Min length13

Characters and Unicode

Total characters109971
Distinct characters253
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3241 ?
Unique (%)64.4%

Sample

1st row대구광역시 중구 동인동2가 74-15
2nd row대구광역시 중구 수창동 47-1번지
3rd row대구광역시 중구 덕산동 110
4th row대구광역시 중구 남일동 138-3 국민은행대구지점
5th row대구광역시 중구 대봉동 111-1번지
ValueCountFrequency (%)
대구광역시 5029
23.6%
달서구 1483
 
7.0%
북구 1305
 
6.1%
서구 1074
 
5.0%
달성군 879
 
4.1%
노원동3가 753
 
3.5%
이현동 383
 
1.8%
갈산동 370
 
1.7%
비산동 364
 
1.7%
논공읍 345
 
1.6%
Other values (4045) 9305
43.7%
2024-04-21T10:54:29.518335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21305
19.4%
9359
 
8.5%
5325
 
4.8%
5038
 
4.6%
5033
 
4.6%
5032
 
4.6%
4449
 
4.0%
1 4315
 
3.9%
- 3748
 
3.4%
3259
 
3.0%
Other values (243) 43108
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62502
56.8%
Decimal Number 21954
 
20.0%
Space Separator 21305
 
19.4%
Dash Punctuation 3748
 
3.4%
Uppercase Letter 161
 
0.1%
Close Punctuation 129
 
0.1%
Open Punctuation 112
 
0.1%
Other Punctuation 55
 
0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9359
15.0%
5325
 
8.5%
5038
 
8.1%
5033
 
8.1%
5032
 
8.1%
4449
 
7.1%
3259
 
5.2%
3026
 
4.8%
2600
 
4.2%
2366
 
3.8%
Other values (219) 17015
27.2%
Decimal Number
ValueCountFrequency (%)
1 4315
19.7%
2 2879
13.1%
3 2866
13.1%
0 2334
10.6%
4 1946
8.9%
5 1635
 
7.4%
6 1601
 
7.3%
7 1555
 
7.1%
9 1469
 
6.7%
8 1354
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 82
50.9%
L 69
42.9%
A 5
 
3.1%
K 2
 
1.2%
C 1
 
0.6%
S 1
 
0.6%
T 1
 
0.6%
Space Separator
ValueCountFrequency (%)
21305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3748
100.0%
Close Punctuation
ValueCountFrequency (%)
) 129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Other Punctuation
ValueCountFrequency (%)
, 55
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62503
56.8%
Common 47303
43.0%
Latin 165
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9359
15.0%
5325
 
8.5%
5038
 
8.1%
5033
 
8.1%
5032
 
8.1%
4449
 
7.1%
3259
 
5.2%
3026
 
4.8%
2600
 
4.2%
2366
 
3.8%
Other values (220) 17016
27.2%
Common
ValueCountFrequency (%)
21305
45.0%
1 4315
 
9.1%
- 3748
 
7.9%
2 2879
 
6.1%
3 2866
 
6.1%
0 2334
 
4.9%
4 1946
 
4.1%
5 1635
 
3.5%
6 1601
 
3.4%
7 1555
 
3.3%
Other values (5) 3119
 
6.6%
Latin
ValueCountFrequency (%)
B 82
49.7%
L 69
41.8%
A 5
 
3.0%
b 4
 
2.4%
K 2
 
1.2%
C 1
 
0.6%
S 1
 
0.6%
T 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62502
56.8%
ASCII 47468
43.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21305
44.9%
1 4315
 
9.1%
- 3748
 
7.9%
2 2879
 
6.1%
3 2866
 
6.0%
0 2334
 
4.9%
4 1946
 
4.1%
5 1635
 
3.4%
6 1601
 
3.4%
7 1555
 
3.3%
Other values (13) 3284
 
6.9%
Hangul
ValueCountFrequency (%)
9359
15.0%
5325
 
8.5%
5038
 
8.1%
5033
 
8.1%
5032
 
8.1%
4449
 
7.1%
3259
 
5.2%
3026
 
4.8%
2600
 
4.2%
2366
 
3.8%
Other values (219) 17015
27.2%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct3288
Distinct (%)85.9%
Missing1320
Missing (%)25.6%
Memory size40.3 KiB
2024-04-21T10:54:30.730660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length25.702117
Min length19

Characters and Unicode

Total characters98362
Distinct characters309
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

Unique2869 ?
Unique (%)75.0%

Sample

1st row대구광역시 중구 동덕로 167 (동인동2가)
2nd row대구광역시 중구 달성로26길 86 (수창동)
3rd row대구광역시 중구 태평로 160 (북성로1가, 대우빌딩)
4th row대구광역시 중구 달구벌대로 2095 (덕산동)
5th row대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)
ValueCountFrequency (%)
대구광역시 3827
 
19.7%
달서구 1031
 
5.3%
북구 1024
 
5.3%
서구 830
 
4.3%
달성군 655
 
3.4%
노원동3가 624
 
3.2%
논공읍 321
 
1.7%
이현동 281
 
1.4%
비산동 276
 
1.4%
갈산동 243
 
1.3%
Other values (1806) 10314
53.1%
2024-04-21T10:54:32.118732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16639
 
16.9%
7313
 
7.4%
4389
 
4.5%
3847
 
3.9%
3833
 
3.9%
3833
 
3.9%
3740
 
3.8%
3688
 
3.7%
( 3273
 
3.3%
) 3273
 
3.3%
Other values (299) 44534
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59293
60.3%
Space Separator 16639
 
16.9%
Decimal Number 14964
 
15.2%
Open Punctuation 3273
 
3.3%
Close Punctuation 3273
 
3.3%
Dash Punctuation 685
 
0.7%
Other Punctuation 195
 
0.2%
Uppercase Letter 39
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7313
 
12.3%
4389
 
7.4%
3847
 
6.5%
3833
 
6.5%
3833
 
6.5%
3740
 
6.3%
3688
 
6.2%
2970
 
5.0%
2537
 
4.3%
2225
 
3.8%
Other values (273) 20918
35.3%
Decimal Number
ValueCountFrequency (%)
1 2831
18.9%
3 2440
16.3%
2 2036
13.6%
4 1300
8.7%
5 1286
8.6%
6 1188
7.9%
7 1153
7.7%
9 980
 
6.5%
8 880
 
5.9%
0 870
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 11
28.2%
A 8
20.5%
K 5
12.8%
L 4
 
10.3%
S 3
 
7.7%
T 2
 
5.1%
M 2
 
5.1%
C 2
 
5.1%
E 1
 
2.6%
G 1
 
2.6%
Space Separator
ValueCountFrequency (%)
16639
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3273
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 685
100.0%
Other Punctuation
ValueCountFrequency (%)
, 195
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59294
60.3%
Common 39029
39.7%
Latin 39
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7313
 
12.3%
4389
 
7.4%
3847
 
6.5%
3833
 
6.5%
3833
 
6.5%
3740
 
6.3%
3688
 
6.2%
2970
 
5.0%
2537
 
4.3%
2225
 
3.8%
Other values (274) 20919
35.3%
Common
ValueCountFrequency (%)
16639
42.6%
( 3273
 
8.4%
) 3273
 
8.4%
1 2831
 
7.3%
3 2440
 
6.3%
2 2036
 
5.2%
4 1300
 
3.3%
5 1286
 
3.3%
6 1188
 
3.0%
7 1153
 
3.0%
Other values (5) 3610
 
9.2%
Latin
ValueCountFrequency (%)
B 11
28.2%
A 8
20.5%
K 5
12.8%
L 4
 
10.3%
S 3
 
7.7%
T 2
 
5.1%
M 2
 
5.1%
C 2
 
5.1%
E 1
 
2.6%
G 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59293
60.3%
ASCII 39068
39.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16639
42.6%
( 3273
 
8.4%
) 3273
 
8.4%
1 2831
 
7.2%
3 2440
 
6.2%
2 2036
 
5.2%
4 1300
 
3.3%
5 1286
 
3.3%
6 1188
 
3.0%
7 1153
 
3.0%
Other values (15) 3649
 
9.3%
Hangul
ValueCountFrequency (%)
7313
 
12.3%
4389
 
7.4%
3847
 
6.5%
3833
 
6.5%
3833
 
6.5%
3740
 
6.3%
3688
 
6.2%
2970
 
5.0%
2537
 
4.3%
2225
 
3.8%
Other values (273) 20918
35.3%
None
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct347
Distinct (%)18.9%
Missing3315
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean424452.71
Minimum41005
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-21T10:54:32.384095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41499
Q142703
median702815
Q3704832
95-th percentile711855
Maximum711892
Range670887
Interquartile range (IQR)662129

Descriptive statistics

Standard deviation327725.83
Coefficient of variation (CV)0.77211389
Kurtosis-1.9061177
Mean424452.71
Median Absolute Deviation (MAD)9027
Skewness-0.30940119
Sum7.7759736 × 108
Variance1.0740422 × 1011
MonotonicityNot monotonic
2024-04-21T10:54:32.630774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704900 88
 
1.7%
704801 79
 
1.5%
702815 67
 
1.3%
704833 45
 
0.9%
711855 45
 
0.9%
702872 44
 
0.9%
704190 42
 
0.8%
702814 37
 
0.7%
703830 35
 
0.7%
702862 30
 
0.6%
Other values (337) 1320
 
25.6%
(Missing) 3315
64.4%
ValueCountFrequency (%)
41005 1
 
< 0.1%
41007 1
 
< 0.1%
41052 2
 
< 0.1%
41060 1
 
< 0.1%
41061 1
 
< 0.1%
41074 1
 
< 0.1%
41078 11
0.2%
41079 4
 
0.1%
41081 5
0.1%
41082 2
 
< 0.1%
ValueCountFrequency (%)
711892 9
0.2%
711891 18
0.3%
711890 2
 
< 0.1%
711882 2
 
< 0.1%
711874 1
 
< 0.1%
711871 2
 
< 0.1%
711861 1
 
< 0.1%
711860 1
 
< 0.1%
711858 20
0.4%
711857 16
0.3%
Distinct4344
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
2024-04-21T10:54:33.421889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.0889839
Min length2

Characters and Unicode

Total characters36487
Distinct characters589
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3725 ?
Unique (%)72.4%

Sample

1st row(주)케이티에스테이트
2nd row신일모터스
3rd row(주)대구에치티개발
4th row엔에이치아문디전문투자형사모부동산투자신탁17호
5th row(주)국민은행 대구지점
ValueCountFrequency (%)
주식회사 66
 
1.2%
대구공장 28
 
0.5%
제2공장 22
 
0.4%
2공장 16
 
0.3%
입주자대표회의 12
 
0.2%
10
 
0.2%
성서공장 10
 
0.2%
대구지점 8
 
0.1%
대성산업 7
 
0.1%
비산공장 7
 
0.1%
Other values (4453) 5411
96.7%
2024-04-21T10:54:34.442550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2212
 
6.1%
) 2182
 
6.0%
2087
 
5.7%
1287
 
3.5%
1033
 
2.8%
959
 
2.6%
934
 
2.6%
804
 
2.2%
671
 
1.8%
612
 
1.7%
Other values (579) 23706
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30450
83.5%
Open Punctuation 2213
 
6.1%
Close Punctuation 2183
 
6.0%
Space Separator 450
 
1.2%
Uppercase Letter 430
 
1.2%
Other Punctuation 311
 
0.9%
Other Symbol 232
 
0.6%
Decimal Number 195
 
0.5%
Lowercase Letter 17
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2087
 
6.9%
1287
 
4.2%
1033
 
3.4%
959
 
3.1%
934
 
3.1%
804
 
2.6%
671
 
2.2%
612
 
2.0%
608
 
2.0%
553
 
1.8%
Other values (520) 20902
68.6%
Uppercase Letter
ValueCountFrequency (%)
S 50
 
11.6%
C 40
 
9.3%
T 35
 
8.1%
E 34
 
7.9%
P 27
 
6.3%
K 27
 
6.3%
M 22
 
5.1%
D 22
 
5.1%
O 20
 
4.7%
A 20
 
4.7%
Other values (15) 133
30.9%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
c 2
 
11.8%
h 2
 
11.8%
g 1
 
5.9%
n 1
 
5.9%
t 1
 
5.9%
o 1
 
5.9%
r 1
 
5.9%
a 1
 
5.9%
d 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 90
46.2%
1 64
32.8%
3 20
 
10.3%
8 6
 
3.1%
5 6
 
3.1%
6 4
 
2.1%
4 2
 
1.0%
7 2
 
1.0%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 152
48.9%
, 120
38.6%
& 23
 
7.4%
/ 11
 
3.5%
* 3
 
1.0%
2
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 2212
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2182
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
450
100.0%
Other Symbol
ValueCountFrequency (%)
232
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30682
84.1%
Common 5358
 
14.7%
Latin 447
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2087
 
6.8%
1287
 
4.2%
1033
 
3.4%
959
 
3.1%
934
 
3.0%
804
 
2.6%
671
 
2.2%
612
 
2.0%
608
 
2.0%
553
 
1.8%
Other values (521) 21134
68.9%
Latin
ValueCountFrequency (%)
S 50
 
11.2%
C 40
 
8.9%
T 35
 
7.8%
E 34
 
7.6%
P 27
 
6.0%
K 27
 
6.0%
M 22
 
4.9%
D 22
 
4.9%
O 20
 
4.5%
A 20
 
4.5%
Other values (26) 150
33.6%
Common
ValueCountFrequency (%)
( 2212
41.3%
) 2182
40.7%
450
 
8.4%
. 152
 
2.8%
, 120
 
2.2%
2 90
 
1.7%
1 64
 
1.2%
& 23
 
0.4%
3 20
 
0.4%
/ 11
 
0.2%
Other values (12) 34
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30450
83.5%
ASCII 5803
 
15.9%
None 234
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2212
38.1%
) 2182
37.6%
450
 
7.8%
. 152
 
2.6%
, 120
 
2.1%
2 90
 
1.6%
1 64
 
1.1%
S 50
 
0.9%
C 40
 
0.7%
T 35
 
0.6%
Other values (47) 408
 
7.0%
Hangul
ValueCountFrequency (%)
2087
 
6.9%
1287
 
4.2%
1033
 
3.4%
959
 
3.1%
934
 
3.1%
804
 
2.6%
671
 
2.2%
612
 
2.0%
608
 
2.0%
553
 
1.8%
Other values (520) 20902
68.6%
None
ValueCountFrequency (%)
232
99.1%
2
 
0.9%

최종수정시점
Real number (ℝ)

Distinct5146
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0134347 × 1013
Minimum2.0001018 × 1013
Maximum2.021093 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-21T10:54:34.691094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0001018 × 1013
5-th percentile2.0040104 × 1013
Q12.0081008 × 1013
median2.0141202 × 1013
Q32.0191113 × 1013
95-th percentile2.0210628 × 1013
Maximum2.021093 × 1013
Range2.0991204 × 1011
Interquartile range (IQR)1.1010447 × 1011

Descriptive statistics

Standard deviation6.06944 × 1010
Coefficient of variation (CV)0.0030144708
Kurtosis-1.2835082
Mean2.0134347 × 1013
Median Absolute Deviation (MAD)5.9015047 × 1010
Skewness-0.281068
Sum1.0363148 × 1017
Variance3.6838102 × 1021
MonotonicityNot monotonic
2024-04-21T10:54:34.944833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20040719173148 1
 
< 0.1%
20111021174907 1
 
< 0.1%
20181115163259 1
 
< 0.1%
20190723153311 1
 
< 0.1%
20180625202434 1
 
< 0.1%
20141015091059 1
 
< 0.1%
20040706160033 1
 
< 0.1%
20121231143526 1
 
< 0.1%
20040702161550 1
 
< 0.1%
Other values (5136) 5136
99.8%
ValueCountFrequency (%)
20001018165055 1
< 0.1%
20010104114108 1
< 0.1%
20010131100554 1
< 0.1%
20010315125649 1
< 0.1%
20010328174344 1
< 0.1%
20010511135104 1
< 0.1%
20010514153431 1
< 0.1%
20010605181832 1
< 0.1%
20010605182545 1
< 0.1%
20010605193518 1
< 0.1%
ValueCountFrequency (%)
20210930202345 1
< 0.1%
20210930172553 1
< 0.1%
20210930172239 1
< 0.1%
20210930153431 1
< 0.1%
20210930145755 1
< 0.1%
20210930113936 1
< 0.1%
20210929110927 1
< 0.1%
20210929094225 1
< 0.1%
20210928090942 1
< 0.1%
20210927173336 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
I
3632 
U
1515 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3632
70.6%
U 1515
29.4%

Length

2024-04-21T10:54:35.161411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:54:35.328067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3632
70.6%
u 1515
29.4%
Distinct663
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
Minimum2018-09-01 23:59:59
Maximum2021-10-02 02:40:00
2024-04-21T10:54:35.591298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:54:36.014919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct433
Distinct (%)12.7%
Missing1745
Missing (%)33.9%
Memory size40.3 KiB
2024-04-21T10:54:36.993490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.067313
Min length2

Characters and Unicode

Total characters37651
Distinct characters297
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)5.6%

Sample

1st row비거주용 건물 건설업
2nd row금융업
3rd row부동산 임대업
4th row우편 및 소포 송달업
5th row주거용 부동산 관리업
ValueCountFrequency (%)
제조업 1660
 
16.0%
기타 1141
 
11.0%
895
 
8.6%
조립금속제품 378
 
3.6%
자동차 365
 
3.5%
가공업 321
 
3.1%
염색 303
 
2.9%
수리업 299
 
2.9%
섬유 279
 
2.7%
도금업 273
 
2.6%
Other values (582) 4459
43.0%
2024-04-21T10:54:38.131731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6975
18.5%
3448
 
9.2%
2970
 
7.9%
2220
 
5.9%
1537
 
4.1%
1305
 
3.5%
1218
 
3.2%
1122
 
3.0%
967
 
2.6%
826
 
2.2%
Other values (287) 15063
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30506
81.0%
Space Separator 6975
 
18.5%
Other Punctuation 146
 
0.4%
Decimal Number 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3448
 
11.3%
2970
 
9.7%
2220
 
7.3%
1537
 
5.0%
1305
 
4.3%
1218
 
4.0%
1122
 
3.7%
967
 
3.2%
826
 
2.7%
805
 
2.6%
Other values (282) 14088
46.2%
Other Punctuation
ValueCountFrequency (%)
, 134
91.8%
· 7
 
4.8%
; 5
 
3.4%
Space Separator
ValueCountFrequency (%)
6975
100.0%
Decimal Number
ValueCountFrequency (%)
1 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30506
81.0%
Common 7145
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3448
 
11.3%
2970
 
9.7%
2220
 
7.3%
1537
 
5.0%
1305
 
4.3%
1218
 
4.0%
1122
 
3.7%
967
 
3.2%
826
 
2.7%
805
 
2.6%
Other values (282) 14088
46.2%
Common
ValueCountFrequency (%)
6975
97.6%
, 134
 
1.9%
1 24
 
0.3%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30506
81.0%
ASCII 7138
 
19.0%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6975
97.7%
, 134
 
1.9%
1 24
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
3448
 
11.3%
2970
 
9.7%
2220
 
7.3%
1537
 
5.0%
1305
 
4.3%
1218
 
4.0%
1122
 
3.7%
967
 
3.2%
826
 
2.7%
805
 
2.6%
Other values (282) 14088
46.2%
None
ValueCountFrequency (%)
· 7
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2992
Distinct (%)75.7%
Missing1192
Missing (%)23.2%
Infinite0
Infinite (%)0.0%
Mean338476.85
Minimum324827.06
Maximum357474.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-21T10:54:38.365700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328616.26
Q1335319.42
median338887.53
Q3341461.38
95-th percentile347122.2
Maximum357474.36
Range32647.303
Interquartile range (IQR)6141.9509

Descriptive statistics

Standard deviation5606.2871
Coefficient of variation (CV)0.016563281
Kurtosis1.2374224
Mean338476.85
Median Absolute Deviation (MAD)3169.6534
Skewness0.45239621
Sum1.3386759 × 109
Variance31430455
MonotonicityNot monotonic
2024-04-21T10:54:38.609727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336344.302039 12
 
0.2%
336366.064252 8
 
0.2%
336353.196287 8
 
0.2%
338653.414866 7
 
0.1%
335898.647221 7
 
0.1%
340174.370642 7
 
0.1%
341927.563233 7
 
0.1%
336559.670287 7
 
0.1%
339163.824109 7
 
0.1%
337148.956227 6
 
0.1%
Other values (2982) 3879
75.4%
(Missing) 1192
 
23.2%
ValueCountFrequency (%)
324827.061698 1
< 0.1%
325101.677227 1
< 0.1%
325693.930075 1
< 0.1%
325695.119708 1
< 0.1%
325744.473021 1
< 0.1%
325759.027963 1
< 0.1%
325796.946031 1
< 0.1%
325797.948919 1
< 0.1%
325866.841016 1
< 0.1%
325886.496212 1
< 0.1%
ValueCountFrequency (%)
357474.36475 1
 
< 0.1%
357249.517998 1
 
< 0.1%
357183.0049 1
 
< 0.1%
356288.780361 1
 
< 0.1%
355939.362329 2
< 0.1%
355715.873404 2
< 0.1%
355708.657238 1
 
< 0.1%
355569.867912 1
 
< 0.1%
355558.233247 3
0.1%
355557.42313 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2990
Distinct (%)75.6%
Missing1192
Missing (%)23.2%
Infinite0
Infinite (%)0.0%
Mean261998.35
Minimum236164.39
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-21T10:54:38.878351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236164.39
5-th percentile248594.04
Q1260426.12
median264031.8
Q3266867.2
95-th percentile268066.25
Maximum278091.65
Range41927.261
Interquartile range (IQR)6441.0751

Descriptive statistics

Standard deviation6928.8991
Coefficient of variation (CV)0.026446346
Kurtosis2.9760267
Mean261998.35
Median Absolute Deviation (MAD)3091.765
Skewness-1.7726288
Sum1.0362035 × 109
Variance48009643
MonotonicityNot monotonic
2024-04-21T10:54:39.120695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261497.640906 12
 
0.2%
261562.315791 8
 
0.2%
261651.801477 8
 
0.2%
267406.601136 7
 
0.1%
258962.00812 7
 
0.1%
267045.01616 7
 
0.1%
263466.441258 7
 
0.1%
265188.870359 7
 
0.1%
261730.820003 7
 
0.1%
266826.175197 6
 
0.1%
Other values (2980) 3879
75.4%
(Missing) 1192
 
23.2%
ValueCountFrequency (%)
236164.392418 1
< 0.1%
236283.746887 1
< 0.1%
237420.318841 1
< 0.1%
237677.093671 1
< 0.1%
237682.121457 1
< 0.1%
237686.085459 1
< 0.1%
237690.289797 1
< 0.1%
237692.765575 1
< 0.1%
237805.763337 1
< 0.1%
237817.514628 1
< 0.1%
ValueCountFrequency (%)
278091.653532 1
< 0.1%
277507.397404 1
< 0.1%
274001.175164 1
< 0.1%
273857.356673 1
< 0.1%
273432.540162 1
< 0.1%
273400.631796 1
< 0.1%
273237.600006 1
< 0.1%
273236.236628 1
< 0.1%
272735.67566 2
< 0.1%
272669.414848 1
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
대기배출업소관리
5147 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대기배출업소관리 5147
100.0%

Length

2024-04-21T10:54:39.337989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:54:39.510731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 5147
100.0%

업종구분명
Text

MISSING 

Distinct433
Distinct (%)12.7%
Missing1745
Missing (%)33.9%
Memory size40.3 KiB
2024-04-21T10:54:40.342506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.067313
Min length2

Characters and Unicode

Total characters37651
Distinct characters297
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)5.6%

Sample

1st row비거주용 건물 건설업
2nd row금융업
3rd row부동산 임대업
4th row우편 및 소포 송달업
5th row주거용 부동산 관리업
ValueCountFrequency (%)
제조업 1660
 
16.0%
기타 1141
 
11.0%
895
 
8.6%
조립금속제품 378
 
3.6%
자동차 365
 
3.5%
가공업 321
 
3.1%
염색 303
 
2.9%
수리업 299
 
2.9%
섬유 279
 
2.7%
도금업 273
 
2.6%
Other values (582) 4459
43.0%
2024-04-21T10:54:41.733041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6975
18.5%
3448
 
9.2%
2970
 
7.9%
2220
 
5.9%
1537
 
4.1%
1305
 
3.5%
1218
 
3.2%
1122
 
3.0%
967
 
2.6%
826
 
2.2%
Other values (287) 15063
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30506
81.0%
Space Separator 6975
 
18.5%
Other Punctuation 146
 
0.4%
Decimal Number 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3448
 
11.3%
2970
 
9.7%
2220
 
7.3%
1537
 
5.0%
1305
 
4.3%
1218
 
4.0%
1122
 
3.7%
967
 
3.2%
826
 
2.7%
805
 
2.6%
Other values (282) 14088
46.2%
Other Punctuation
ValueCountFrequency (%)
, 134
91.8%
· 7
 
4.8%
; 5
 
3.4%
Space Separator
ValueCountFrequency (%)
6975
100.0%
Decimal Number
ValueCountFrequency (%)
1 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30506
81.0%
Common 7145
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3448
 
11.3%
2970
 
9.7%
2220
 
7.3%
1537
 
5.0%
1305
 
4.3%
1218
 
4.0%
1122
 
3.7%
967
 
3.2%
826
 
2.7%
805
 
2.6%
Other values (282) 14088
46.2%
Common
ValueCountFrequency (%)
6975
97.6%
, 134
 
1.9%
1 24
 
0.3%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30506
81.0%
ASCII 7138
 
19.0%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6975
97.7%
, 134
 
1.9%
1 24
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
3448
 
11.3%
2970
 
9.7%
2220
 
7.3%
1537
 
5.0%
1305
 
4.3%
1218
 
4.0%
1122
 
3.7%
967
 
3.2%
826
 
2.7%
805
 
2.6%
Other values (282) 14088
46.2%
None
ValueCountFrequency (%)
· 7
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
5종
2812 
4종
1654 
3종
 
229
2종
 
216
<NA>
 
191

Length

Max length4
Median length2
Mean length2.074218
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5종
2nd row5종
3rd row5종
4th row4종
5th row5종

Common Values

ValueCountFrequency (%)
5종 2812
54.6%
4종 1654
32.1%
3종 229
 
4.4%
2종 216
 
4.2%
<NA> 191
 
3.7%
1종 45
 
0.9%

Length

2024-04-21T10:54:42.174579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:54:42.532418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2812
54.6%
4종 1654
32.1%
3종 229
 
4.4%
2종 216
 
4.2%
na 191
 
3.7%
1종 45
 
0.9%

주생산품명
Text

MISSING 

Distinct914
Distinct (%)61.7%
Missing3666
Missing (%)71.2%
Memory size40.3 KiB
2024-04-21T10:54:43.776115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length5.9351789
Min length1

Characters and Unicode

Total characters8790
Distinct characters463
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique735 ?
Unique (%)49.6%

Sample

1st row전력,온수
2nd row수리된 자동차
3rd row자동차용 고무제품
4th row천연가스
5th row자동차용고무제품
ValueCountFrequency (%)
자동차부품 187
 
9.8%
자동차 41
 
2.2%
36
 
1.9%
안경테 36
 
1.9%
31
 
1.6%
전자부품 26
 
1.4%
부품 23
 
1.2%
기계부품 20
 
1.1%
가공원단 20
 
1.1%
고무시트 19
 
1.0%
Other values (941) 1464
76.9%
2024-04-21T10:54:45.480138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
550
 
6.3%
450
 
5.1%
422
 
4.8%
419
 
4.8%
367
 
4.2%
359
 
4.1%
179
 
2.0%
157
 
1.8%
, 137
 
1.6%
136
 
1.5%
Other values (453) 5614
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7698
87.6%
Space Separator 422
 
4.8%
Uppercase Letter 256
 
2.9%
Other Punctuation 152
 
1.7%
Lowercase Letter 109
 
1.2%
Close Punctuation 70
 
0.8%
Open Punctuation 70
 
0.8%
Decimal Number 8
 
0.1%
Dash Punctuation 4
 
< 0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
550
 
7.1%
450
 
5.8%
419
 
5.4%
367
 
4.8%
359
 
4.7%
179
 
2.3%
157
 
2.0%
136
 
1.8%
126
 
1.6%
116
 
1.5%
Other values (394) 4839
62.9%
Uppercase Letter
ValueCountFrequency (%)
P 47
18.4%
E 37
14.5%
C 21
8.2%
L 20
7.8%
D 20
7.8%
I 15
 
5.9%
T 15
 
5.9%
O 14
 
5.5%
S 11
 
4.3%
A 10
 
3.9%
Other values (13) 46
18.0%
Lowercase Letter
ValueCountFrequency (%)
o 13
11.9%
f 11
10.1%
r 11
10.1%
i 9
8.3%
c 9
8.3%
e 9
8.3%
t 8
 
7.3%
a 7
 
6.4%
l 6
 
5.5%
u 6
 
5.5%
Other values (12) 20
18.3%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
7 2
25.0%
4 1
 
12.5%
0 1
 
12.5%
1 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 137
90.1%
. 11
 
7.2%
/ 3
 
2.0%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
422
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7698
87.6%
Common 727
 
8.3%
Latin 365
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
550
 
7.1%
450
 
5.8%
419
 
5.4%
367
 
4.8%
359
 
4.7%
179
 
2.3%
157
 
2.0%
136
 
1.8%
126
 
1.6%
116
 
1.5%
Other values (394) 4839
62.9%
Latin
ValueCountFrequency (%)
P 47
 
12.9%
E 37
 
10.1%
C 21
 
5.8%
L 20
 
5.5%
D 20
 
5.5%
I 15
 
4.1%
T 15
 
4.1%
O 14
 
3.8%
o 13
 
3.6%
f 11
 
3.0%
Other values (35) 152
41.6%
Common
ValueCountFrequency (%)
422
58.0%
, 137
 
18.8%
) 70
 
9.6%
( 70
 
9.6%
. 11
 
1.5%
- 4
 
0.6%
/ 3
 
0.4%
2 3
 
0.4%
7 2
 
0.3%
4 1
 
0.1%
Other values (4) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7698
87.6%
ASCII 1091
 
12.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
550
 
7.1%
450
 
5.8%
419
 
5.4%
367
 
4.8%
359
 
4.7%
179
 
2.3%
157
 
2.0%
136
 
1.8%
126
 
1.6%
116
 
1.5%
Other values (394) 4839
62.9%
ASCII
ValueCountFrequency (%)
422
38.7%
, 137
 
12.6%
) 70
 
6.4%
( 70
 
6.4%
P 47
 
4.3%
E 37
 
3.4%
C 21
 
1.9%
L 20
 
1.8%
D 20
 
1.8%
I 15
 
1.4%
Other values (48) 232
21.3%
None
ValueCountFrequency (%)
1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct36
Distinct (%)0.7%
Missing63
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean7.4728167
Minimum0
Maximum912
Zeros1661
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-21T10:54:45.871233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile24
Maximum912
Range912
Interquartile range (IQR)8

Descriptive statistics

Standard deviation14.881337
Coefficient of variation (CV)1.991396
Kurtosis2697.4254
Mean7.4728167
Median Absolute Deviation (MAD)4
Skewness45.051118
Sum37991.8
Variance221.4542
MonotonicityNot monotonic
2024-04-21T10:54:46.261119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
8.0 1950
37.9%
0.0 1661
32.3%
24.0 474
 
9.2%
10.0 290
 
5.6%
6.0 90
 
1.7%
12.0 83
 
1.6%
5.0 69
 
1.3%
4.0 67
 
1.3%
20.0 64
 
1.2%
9.0 56
 
1.1%
Other values (26) 280
 
5.4%
(Missing) 63
 
1.2%
ValueCountFrequency (%)
0.0 1661
32.3%
1.0 12
 
0.2%
1.3 1
 
< 0.1%
1.5 1
 
< 0.1%
2.0 21
 
0.4%
2.5 1
 
< 0.1%
3.0 30
 
0.6%
3.5 1
 
< 0.1%
4.0 67
 
1.3%
5.0 69
 
1.3%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
240.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 2
 
< 0.1%
24.0 474
9.2%
23.0 1
 
< 0.1%
22.0 15
 
0.3%
21.0 9
 
0.2%
20.0 64
 
1.2%
19.0 3
 
0.1%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)1.9%
Missing66
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean196.77386
Minimum0
Maximum365
Zeros1677
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-21T10:54:46.649172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile312
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation141.45404
Coefficient of variation (CV)0.718866
Kurtosis-1.5362585
Mean196.77386
Median Absolute Deviation (MAD)0
Skewness-0.62162882
Sum999808
Variance20009.246
MonotonicityNot monotonic
2024-04-21T10:54:47.085596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2686
52.2%
0 1677
32.6%
240 80
 
1.6%
365 66
 
1.3%
312 44
 
0.9%
360 41
 
0.8%
250 38
 
0.7%
264 36
 
0.7%
180 27
 
0.5%
330 27
 
0.5%
Other values (87) 359
 
7.0%
(Missing) 66
 
1.3%
ValueCountFrequency (%)
0 1677
32.6%
5 1
 
< 0.1%
8 2
 
< 0.1%
24 3
 
0.1%
25 2
 
< 0.1%
30 3
 
0.1%
51 1
 
< 0.1%
52 1
 
< 0.1%
60 2
 
< 0.1%
84 1
 
< 0.1%
ValueCountFrequency (%)
365 66
1.3%
362 1
 
< 0.1%
361 2
 
< 0.1%
360 41
0.8%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 14
 
0.3%
341 3
 
0.1%
340 16
 
0.3%
338 1
 
< 0.1%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)0.7%
Missing453
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean6.9659778
Minimum0
Maximum300
Zeros1694
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-21T10:54:47.474317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile24
Maximum300
Range300
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.1120713
Coefficient of variation (CV)1.3080822
Kurtosis363.89141
Mean6.9659778
Median Absolute Deviation (MAD)4
Skewness12.583374
Sum32698.3
Variance83.029844
MonotonicityNot monotonic
2024-04-21T10:54:47.878172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
8.0 1764
34.3%
0.0 1694
32.9%
24.0 403
 
7.8%
10.0 240
 
4.7%
6.0 78
 
1.5%
12.0 66
 
1.3%
5.0 63
 
1.2%
20.0 54
 
1.0%
4.0 53
 
1.0%
7.0 51
 
1.0%
Other values (23) 228
 
4.4%
(Missing) 453
 
8.8%
ValueCountFrequency (%)
0.0 1694
32.9%
1.0 10
 
0.2%
1.3 1
 
< 0.1%
2.0 16
 
0.3%
2.5 1
 
< 0.1%
3.0 20
 
0.4%
4.0 53
 
1.0%
5.0 63
 
1.2%
6.0 78
 
1.5%
7.0 51
 
1.0%
ValueCountFrequency (%)
300.0 1
 
< 0.1%
264.0 1
 
< 0.1%
100.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 3
 
0.1%
24.0 403
7.8%
22.0 11
 
0.2%
21.0 9
 
0.2%
20.0 54
 
1.0%
19.0 2
 
< 0.1%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)1.8%
Missing401
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean188.59566
Minimum0
Maximum365
Zeros1716
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-21T10:54:48.284628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile305
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation144.30196
Coefficient of variation (CV)0.76513937
Kurtosis-1.687009
Mean188.59566
Median Absolute Deviation (MAD)0
Skewness-0.50577879
Sum895075
Variance20823.057
MonotonicityNot monotonic
2024-04-21T10:54:48.722274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2448
47.6%
0 1716
33.3%
240 68
 
1.3%
365 46
 
0.9%
312 43
 
0.8%
250 35
 
0.7%
360 34
 
0.7%
264 26
 
0.5%
330 25
 
0.5%
280 24
 
0.5%
Other values (76) 281
 
5.5%
(Missing) 401
 
7.8%
ValueCountFrequency (%)
0 1716
33.3%
4 1
 
< 0.1%
8 1
 
< 0.1%
24 2
 
< 0.1%
25 2
 
< 0.1%
30 2
 
< 0.1%
51 1
 
< 0.1%
52 1
 
< 0.1%
60 2
 
< 0.1%
84 1
 
< 0.1%
ValueCountFrequency (%)
365 46
0.9%
362 1
 
< 0.1%
361 1
 
< 0.1%
360 34
0.7%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 14
 
0.3%
341 3
 
0.1%
340 14
 
0.3%
338 1
 
< 0.1%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
01대기오염물질배출시설설치사업장09_30_08_P341000034100002120200000120200625<NA>1영업/정상11영업<NA><NA><NA><NA>0534310803<NA><NA>대구광역시 중구 동인동2가 74-15대구광역시 중구 동덕로 167 (동인동2가)<NA>(주)케이티에스테이트20200923085534U2020-09-25 02:40:00.0비거주용 건물 건설업344751.422529264471.140592대기배출업소관리비거주용 건물 건설업5종<NA>1.0300<NA><NA>
12대기오염물질배출시설설치사업장09_30_08_P341000034100002120140000120140626<NA>4취소/말소/만료/정지/중지4폐쇄20191205<NA><NA><NA>593-3198<NA><NA>대구광역시 중구 수창동 47-1번지대구광역시 중구 달성로26길 86 (수창동)700850신일모터스20191205182833U2019-12-07 02:40:00.0<NA>343222.95548265036.439644대기배출업소관리<NA>5종<NA>8.0300<NA>300
23대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001420151209<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 태평로 160 (북성로1가, 대우빌딩)41910(주)대구에치티개발20190923085351U2019-09-25 02:40:00.0<NA>343991.737064265000.0215대기배출업소관리<NA>5종<NA>4.0150<NA><NA>
34대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001520151209<NA>1영업/정상11영업<NA><NA><NA><NA>053-250-5555<NA><NA>대구광역시 중구 덕산동 110대구광역시 중구 달구벌대로 2095 (덕산동)41936엔에이치아문디전문투자형사모부동산투자신탁17호20210601135950U2021-06-03 02:40:00.0금융업343787.134091264065.576741대기배출업소관리금융업4종<NA>6.0196<NA><NA>
45대기오염물질배출시설설치사업장09_30_08_P341000034100002120150000620151120<NA>1영업/정상11영업<NA><NA><NA><NA>053-251-6019<NA><NA>대구광역시 중구 남일동 138-3 국민은행대구지점대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)41935(주)국민은행 대구지점20200810091933U2020-08-12 02:40:00.0<NA>343836.000284264353.542698대기배출업소관리<NA>5종<NA>10.0150<NA><NA>
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