Overview

Dataset statistics

Number of variables36
Number of observations4180
Missing cells31254
Missing cells (%)20.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory309.0 B

Variable types

Numeric14
Categorical11
Unsupported3
Text7
DateTime1

Dataset

Description6270000_대구광역시_09_30_08_P_대기오염물질배출시설설치사업장_4월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000084955&dataSetDetailId=DDI_0000085023&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
환경업무구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (99.7%)Imbalance
휴업종료일자 is highly imbalanced (99.7%)Imbalance
인허가일자 has 140 (3.3%) missing valuesMissing
인허가취소일자 has 4180 (100.0%) missing valuesMissing
폐업일자 has 2436 (58.3%) missing valuesMissing
재개업일자 has 4180 (100.0%) missing valuesMissing
소재지전화 has 663 (15.9%) missing valuesMissing
소재지면적 has 4180 (100.0%) missing valuesMissing
소재지우편번호 has 3256 (77.9%) missing valuesMissing
소재지전체주소 has 160 (3.8%) missing valuesMissing
도로명전체주소 has 1053 (25.2%) missing valuesMissing
도로명우편번호 has 2571 (61.5%) missing valuesMissing
업태구분명 has 1404 (33.6%) missing valuesMissing
좌표정보(X) has 942 (22.5%) missing valuesMissing
좌표정보(Y) has 942 (22.5%) missing valuesMissing
업종구분명 has 1404 (33.6%) missing valuesMissing
주생산품명 has 2798 (66.9%) missing valuesMissing
배출시설조업시간 has 57 (1.4%) missing valuesMissing
배출시설연간가동일수 has 60 (1.4%) missing valuesMissing
방지시설조업시간 has 420 (10.0%) missing valuesMissing
방지시설연간가동일수 has 408 (9.8%) missing valuesMissing
배출시설조업시간 is highly skewed (γ1 = 44.76783866)Skewed
번호 has unique valuesUnique
관리번호 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
배출시설조업시간 has 1376 (32.9%) zerosZeros
배출시설연간가동일수 has 1390 (33.3%) zerosZeros
방지시설조업시간 has 1375 (32.9%) zerosZeros
방지시설연간가동일수 has 1382 (33.1%) zerosZeros

Reproduction

Analysis started2023-12-10 17:41:00.883172
Analysis finished2023-12-10 17:41:04.917027
Duration4.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4180
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2090.5
Minimum1
Maximum4180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:05.120190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile209.95
Q11045.75
median2090.5
Q33135.25
95-th percentile3971.05
Maximum4180
Range4179
Interquartile range (IQR)2089.5

Descriptive statistics

Standard deviation1206.8064
Coefficient of variation (CV)0.57728122
Kurtosis-1.2
Mean2090.5
Median Absolute Deviation (MAD)1045
Skewness0
Sum8738290
Variance1456381.7
MonotonicityStrictly increasing
2023-12-11T02:41:05.695617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2779 1
 
< 0.1%
2781 1
 
< 0.1%
2782 1
 
< 0.1%
2783 1
 
< 0.1%
2784 1
 
< 0.1%
2785 1
 
< 0.1%
2786 1
 
< 0.1%
2787 1
 
< 0.1%
2788 1
 
< 0.1%
Other values (4170) 4170
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 (%)
4180 1
< 0.1%
4179 1
< 0.1%
4178 1
< 0.1%
4177 1
< 0.1%
4176 1
< 0.1%
4175 1
< 0.1%
4174 1
< 0.1%
4173 1
< 0.1%
4172 1
< 0.1%
4171 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
대기오염물질배출시설설치사업장
4180 

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 4180
100.0%

Length

2023-12-11T02:41:05.996384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:41:06.222227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 4180
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
09_30_08_P
4180 

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 4180
100.0%

Length

2023-12-11T02:41:06.458613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:41:06.749620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 4180
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3456437.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:06.954695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3430000
Q13430000
median3470000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20500.199
Coefficient of variation (CV)0.0059310192
Kurtosis-1.3342405
Mean3456437.8
Median Absolute Deviation (MAD)10000
Skewness-0.49912194
Sum1.444791 × 1010
Variance4.2025815 × 108
MonotonicityIncreasing
2023-12-11T02:41:07.219609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1668
39.9%
3430000 1085
26.0%
3480000 692
16.6%
3450000 443
 
10.6%
3420000 166
 
4.0%
3460000 80
 
1.9%
3410000 29
 
0.7%
3440000 17
 
0.4%
ValueCountFrequency (%)
3410000 29
 
0.7%
3420000 166
 
4.0%
3430000 1085
26.0%
3440000 17
 
0.4%
3450000 443
 
10.6%
3460000 80
 
1.9%
3470000 1668
39.9%
3480000 692
16.6%
ValueCountFrequency (%)
3480000 692
16.6%
3470000 1668
39.9%
3460000 80
 
1.9%
3450000 443
 
10.6%
3440000 17
 
0.4%
3430000 1085
26.0%
3420000 166
 
4.0%
3410000 29
 
0.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct4180
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.456438 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:07.592980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2.0500199 × 1015
Coefficient of variation (CV)0.0059310188
Kurtosis-1.3342405
Mean3.456438 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.49912194
Sum5.9450509 × 1018
Variance4.2025815 × 1030
MonotonicityNot monotonic
2023-12-11T02:41:08.101318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021201500014 1
 
< 0.1%
347000021199500046 1
 
< 0.1%
347000021199600002 1
 
< 0.1%
347000021199600004 1
 
< 0.1%
347000021199600005 1
 
< 0.1%
347000021199600006 1
 
< 0.1%
347000021199600007 1
 
< 0.1%
347000021198700008 1
 
< 0.1%
347000021198700009 1
 
< 0.1%
347000021198700011 1
 
< 0.1%
Other values (4170) 4170
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 (%)
348000021202000007 1
< 0.1%
348000021202000006 1
< 0.1%
348000021202000005 1
< 0.1%
348000021202000004 1
< 0.1%
348000021202000003 1
< 0.1%
348000021202000002 1
< 0.1%
348000021202000001 1
< 0.1%
348000021201900035 1
< 0.1%
348000021201900034 1
< 0.1%
348000021201900033 1
< 0.1%

인허가일자
Real number (ℝ)

MISSING 

Distinct2584
Distinct (%)64.0%
Missing140
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean20031039
Minimum19010101
Maximum20200330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:08.490067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19870112
Q119990887
median20040701
Q320120427
95-th percentile20170929
Maximum20200330
Range1190229
Interquartile range (IQR)129539.75

Descriptive statistics

Standard deviation147613
Coefficient of variation (CV)0.0073692135
Kurtosis27.048135
Mean20031039
Median Absolute Deviation (MAD)70283
Skewness-4.3016973
Sum8.0925396 × 1010
Variance2.1789598 × 1010
MonotonicityNot monotonic
2023-12-11T02:41:08.929224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040701 76
 
1.8%
19010101 52
 
1.2%
20040702 48
 
1.1%
20040621 36
 
0.9%
20040628 25
 
0.6%
20040630 24
 
0.6%
20120322 23
 
0.6%
19840210 18
 
0.4%
19940427 16
 
0.4%
20040603 13
 
0.3%
Other values (2574) 3709
88.7%
(Missing) 140
 
3.3%
ValueCountFrequency (%)
19010101 52
1.2%
19240212 1
 
< 0.1%
19740905 1
 
< 0.1%
19760816 1
 
< 0.1%
19780108 1
 
< 0.1%
19781004 1
 
< 0.1%
19781123 1
 
< 0.1%
19781205 1
 
< 0.1%
19781229 1
 
< 0.1%
19790220 6
 
0.1%
ValueCountFrequency (%)
20200330 3
0.1%
20200317 1
 
< 0.1%
20200303 1
 
< 0.1%
20200228 1
 
< 0.1%
20200218 1
 
< 0.1%
20200217 1
 
< 0.1%
20200130 3
0.1%
20200121 1
 
< 0.1%
20200116 2
< 0.1%
20200115 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4180
Missing (%)100.0%
Memory size36.9 KiB
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
3
1920 
1
1878 
4
372 
2
 
10

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 1920
45.9%
1 1878
44.9%
4 372
 
8.9%
2 10
 
0.2%

Length

2023-12-11T02:41:09.333802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:41:09.585665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1920
45.9%
1 1878
44.9%
4 372
 
8.9%
2 10
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
폐업
1920 
영업/정상
1878 
취소/말소/만료/정지/중지
372 
휴업
 
10

Length

Max length14
Median length5
Mean length4.4157895
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 1920
45.9%
영업/정상 1878
44.9%
취소/말소/만료/정지/중지 372
 
8.9%
휴업 10
 
0.2%

Length

2023-12-11T02:41:09.897534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:41:10.237054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1920
45.9%
영업/정상 1878
44.9%
취소/말소/만료/정지/중지 372
 
8.9%
휴업 10
 
0.2%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
2
1920 
11
1878 
4
372 
1
 
10

Length

Max length2
Median length1
Mean length1.4492823
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1920
45.9%
11 1878
44.9%
4 372
 
8.9%
1 10
 
0.2%

Length

2023-12-11T02:41:10.538582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:41:10.827312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1920
45.9%
11 1878
44.9%
4 372
 
8.9%
1 10
 
0.2%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
폐업
1920 
영업
1878 
폐쇄
372 
휴업
 
10

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 1920
45.9%
영업 1878
44.9%
폐쇄 372
 
8.9%
휴업 10
 
0.2%

Length

2023-12-11T02:41:11.075010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:41:11.426670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1920
45.9%
영업 1878
44.9%
폐쇄 372
 
8.9%
휴업 10
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct1092
Distinct (%)62.6%
Missing2436
Missing (%)58.3%
Infinite0
Infinite (%)0.0%
Mean20091442
Minimum19930721
Maximum20200430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:11.862393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930721
5-th percentile20030540
Q120050427
median20081008
Q320130246
95-th percentile20190312
Maximum20200430
Range269709
Interquartile range (IQR)79819

Descriptive statistics

Standard deviation50759.434
Coefficient of variation (CV)0.0025264207
Kurtosis-0.66495658
Mean20091442
Median Absolute Deviation (MAD)39518
Skewness0.58792119
Sum3.5039475 × 1010
Variance2.5765201 × 109
MonotonicityNot monotonic
2023-12-11T02:41:12.273087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081118 69
 
1.7%
20081008 52
 
1.2%
20040701 38
 
0.9%
20081006 38
 
0.9%
20040907 21
 
0.5%
20091221 17
 
0.4%
20091216 11
 
0.3%
20091218 11
 
0.3%
20040630 10
 
0.2%
20040601 10
 
0.2%
Other values (1082) 1467
35.1%
(Missing) 2436
58.3%
ValueCountFrequency (%)
19930721 1
< 0.1%
19940225 1
< 0.1%
20001018 1
< 0.1%
20001108 1
< 0.1%
20001216 1
< 0.1%
20001219 1
< 0.1%
20010131 1
< 0.1%
20010205 1
< 0.1%
20010208 1
< 0.1%
20010310 1
< 0.1%
ValueCountFrequency (%)
20200430 1
< 0.1%
20200413 1
< 0.1%
20200403 1
< 0.1%
20200401 1
< 0.1%
20200327 1
< 0.1%
20200317 2
< 0.1%
20200316 1
< 0.1%
20200306 1
< 0.1%
20200218 1
< 0.1%
20200214 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
<NA>
4179 
20181101
 
1

Length

Max length8
Median length4
Mean length4.0009569
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4179
> 99.9%
20181101 1
 
< 0.1%

Length

2023-12-11T02:41:12.622022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:41:12.944767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4179
> 99.9%
20181101 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
<NA>
4179 
20201031
 
1

Length

Max length8
Median length4
Mean length4.0009569
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4179
> 99.9%
20201031 1
 
< 0.1%

Length

2023-12-11T02:41:13.327513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:41:13.715862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4179
> 99.9%
20201031 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4180
Missing (%)100.0%
Memory size36.9 KiB

소재지전화
Text

MISSING 

Distinct3278
Distinct (%)93.2%
Missing663
Missing (%)15.9%
Memory size32.8 KiB
2023-12-11T02:41:14.353761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.8802957
Min length3

Characters and Unicode

Total characters34749
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

Unique3065 ?
Unique (%)87.1%

Sample

1st row593-3198
2nd row053-251-6019
3rd row0534288984
4th row0532502000
5th row0532579663
ValueCountFrequency (%)
053 510
 
10.0%
581 121
 
2.4%
582 78
 
1.5%
583 67
 
1.3%
354 36
 
0.7%
356 26
 
0.5%
562 25
 
0.5%
584 23
 
0.4%
053615 23
 
0.4%
567 23
 
0.4%
Other values (3241) 4182
81.8%
2023-12-11T02:41:15.533112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7200
20.7%
3 5216
15.0%
0 5075
14.6%
1 3153
9.1%
8 2585
 
7.4%
6 2481
 
7.1%
2 2088
 
6.0%
7 1678
 
4.8%
1609
 
4.6%
4 1599
 
4.6%
Other values (4) 2065
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32507
93.5%
Space Separator 1609
 
4.6%
Dash Punctuation 631
 
1.8%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7200
22.1%
3 5216
16.0%
0 5075
15.6%
1 3153
9.7%
8 2585
 
8.0%
6 2481
 
7.6%
2 2088
 
6.4%
7 1678
 
5.2%
4 1599
 
4.9%
9 1432
 
4.4%
Space Separator
ValueCountFrequency (%)
1609
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 631
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34749
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7200
20.7%
3 5216
15.0%
0 5075
14.6%
1 3153
9.1%
8 2585
 
7.4%
6 2481
 
7.1%
2 2088
 
6.0%
7 1678
 
4.8%
1609
 
4.6%
4 1599
 
4.6%
Other values (4) 2065
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34749
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7200
20.7%
3 5216
15.0%
0 5075
14.6%
1 3153
9.1%
8 2585
 
7.4%
6 2481
 
7.1%
2 2088
 
6.0%
7 1678
 
4.8%
1609
 
4.6%
4 1599
 
4.6%
Other values (4) 2065
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4180
Missing (%)100.0%
Memory size36.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)12.4%
Missing3256
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean693039.01
Minimum4
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:15.872137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile701300
Q1704070
median704330
Q3704900
95-th percentile711855
Maximum711891
Range711887
Interquartile range (IQR)830

Descriptive statistics

Standard deviation92004.411
Coefficient of variation (CV)0.13275502
Kurtosis52.965276
Mean693039.01
Median Absolute Deviation (MAD)500
Skewness-7.4026832
Sum6.4036804 × 108
Variance8.4648116 × 109
MonotonicityNot monotonic
2023-12-11T02:41:16.219470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704190 64
 
1.5%
703830 58
 
1.4%
704900 55
 
1.3%
711855 39
 
0.9%
704330 39
 
0.9%
704801 37
 
0.9%
704400 36
 
0.9%
704170 35
 
0.8%
703833 34
 
0.8%
704200 32
 
0.8%
Other values (105) 495
 
11.8%
(Missing) 3256
77.9%
ValueCountFrequency (%)
4 1
 
< 0.1%
8 1
 
< 0.1%
704 14
0.3%
700761 1
 
< 0.1%
701040 1
 
< 0.1%
701050 2
 
< 0.1%
701140 1
 
< 0.1%
701180 1
 
< 0.1%
701190 1
 
< 0.1%
701230 6
0.1%
ValueCountFrequency (%)
711891 7
0.2%
711890 2
 
< 0.1%
711882 1
 
< 0.1%
711874 3
0.1%
711873 1
 
< 0.1%
711871 4
0.1%
711863 2
 
< 0.1%
711860 1
 
< 0.1%
711858 3
0.1%
711857 3
0.1%

소재지전체주소
Text

MISSING 

Distinct3009
Distinct (%)74.9%
Missing160
Missing (%)3.8%
Memory size32.8 KiB
2023-12-11T02:41:16.979088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length22.657463
Min length13

Characters and Unicode

Total characters91083
Distinct characters208
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

Unique2317 ?
Unique (%)57.6%

Sample

1st row대구광역시 중구 수창동 47-1번지
2nd row대구광역시 중구 남일동 138-3번지 국민은행대구지점
3rd row대구광역시 중구 대봉동 111-1번지
4th row대구광역시 중구 덕산동 53-3번지 동아쇼핑센터
5th row대구광역시 중구 동산동 234번지 대구제일교회교육관
ValueCountFrequency (%)
대구광역시 4020
23.5%
달서구 1460
 
8.5%
서구 1031
 
6.0%
달성군 847
 
4.9%
북구 437
 
2.6%
이현동 369
 
2.2%
갈산동 369
 
2.2%
비산동 348
 
2.0%
논공읍 334
 
2.0%
중리동 264
 
1.5%
Other values (3050) 7641
44.6%
2023-12-11T02:41:18.018417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17135
18.8%
7347
 
8.1%
4303
 
4.7%
4022
 
4.4%
4021
 
4.4%
4021
 
4.4%
4013
 
4.4%
3807
 
4.2%
3445
 
3.8%
1 3445
 
3.8%
Other values (198) 35524
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52910
58.1%
Decimal Number 17512
 
19.2%
Space Separator 17135
 
18.8%
Dash Punctuation 3094
 
3.4%
Uppercase Letter 156
 
0.2%
Close Punctuation 123
 
0.1%
Open Punctuation 106
 
0.1%
Other Punctuation 42
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7347
13.9%
4303
 
8.1%
4022
 
7.6%
4021
 
7.6%
4021
 
7.6%
4013
 
7.6%
3807
 
7.2%
3445
 
6.5%
2529
 
4.8%
2310
 
4.4%
Other values (177) 13092
24.7%
Decimal Number
ValueCountFrequency (%)
1 3445
19.7%
2 2353
13.4%
0 2009
11.5%
3 1996
11.4%
4 1598
9.1%
5 1323
 
7.6%
6 1284
 
7.3%
9 1240
 
7.1%
7 1209
 
6.9%
8 1055
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 82
52.6%
L 69
44.2%
A 4
 
2.6%
C 1
 
0.6%
Space Separator
ValueCountFrequency (%)
17135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3094
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52911
58.1%
Common 38012
41.7%
Latin 160
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7347
13.9%
4303
 
8.1%
4022
 
7.6%
4021
 
7.6%
4021
 
7.6%
4013
 
7.6%
3807
 
7.2%
3445
 
6.5%
2529
 
4.8%
2310
 
4.4%
Other values (178) 13093
24.7%
Common
ValueCountFrequency (%)
17135
45.1%
1 3445
 
9.1%
- 3094
 
8.1%
2 2353
 
6.2%
0 2009
 
5.3%
3 1996
 
5.3%
4 1598
 
4.2%
5 1323
 
3.5%
6 1284
 
3.4%
9 1240
 
3.3%
Other values (5) 2535
 
6.7%
Latin
ValueCountFrequency (%)
B 82
51.2%
L 69
43.1%
b 4
 
2.5%
A 4
 
2.5%
C 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52910
58.1%
ASCII 38172
41.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17135
44.9%
1 3445
 
9.0%
- 3094
 
8.1%
2 2353
 
6.2%
0 2009
 
5.3%
3 1996
 
5.2%
4 1598
 
4.2%
5 1323
 
3.5%
6 1284
 
3.4%
9 1240
 
3.2%
Other values (10) 2695
 
7.1%
Hangul
ValueCountFrequency (%)
7347
13.9%
4303
 
8.1%
4022
 
7.6%
4021
 
7.6%
4021
 
7.6%
4013
 
7.6%
3807
 
7.2%
3445
 
6.5%
2529
 
4.8%
2310
 
4.4%
Other values (177) 13092
24.7%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct2717
Distinct (%)86.9%
Missing1053
Missing (%)25.2%
Memory size32.8 KiB
2023-12-11T02:41:18.626062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length25.552606
Min length19

Characters and Unicode

Total characters79903
Distinct characters288
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

Unique2392 ?
Unique (%)76.5%

Sample

1st row대구광역시 중구 태평로 160 (북성로1가, 대우빌딩)
2nd row대구광역시 중구 달성로26길 86 (수창동)
3rd row대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)
4th row대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)
5th row대구광역시 중구 경상감영길 80 (포정동, 대구우체국)
ValueCountFrequency (%)
대구광역시 3127
 
19.7%
달서구 1007
 
6.3%
서구 819
 
5.2%
달성군 626
 
3.9%
북구 427
 
2.7%
논공읍 310
 
2.0%
이현동 277
 
1.7%
비산동 272
 
1.7%
갈산동 242
 
1.5%
노원동3가 237
 
1.5%
Other values (1593) 8521
53.7%
2023-12-11T02:41:19.547766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13471
 
16.9%
5905
 
7.4%
3656
 
4.6%
3139
 
3.9%
3132
 
3.9%
3130
 
3.9%
3042
 
3.8%
2937
 
3.7%
2912
 
3.6%
) 2599
 
3.3%
Other values (278) 35980
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48618
60.8%
Space Separator 13471
 
16.9%
Decimal Number 11927
 
14.9%
Close Punctuation 2599
 
3.3%
Open Punctuation 2599
 
3.3%
Dash Punctuation 514
 
0.6%
Other Punctuation 147
 
0.2%
Uppercase Letter 27
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5905
 
12.1%
3656
 
7.5%
3139
 
6.5%
3132
 
6.4%
3130
 
6.4%
3042
 
6.3%
2937
 
6.0%
2912
 
6.0%
2048
 
4.2%
2043
 
4.2%
Other values (253) 16674
34.3%
Decimal Number
ValueCountFrequency (%)
1 2228
18.7%
3 1698
14.2%
2 1666
14.0%
5 1094
9.2%
4 1066
8.9%
6 997
8.4%
7 907
7.6%
9 809
 
6.8%
8 734
 
6.2%
0 728
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 10
37.0%
A 7
25.9%
L 3
 
11.1%
K 2
 
7.4%
C 1
 
3.7%
E 1
 
3.7%
T 1
 
3.7%
S 1
 
3.7%
G 1
 
3.7%
Space Separator
ValueCountFrequency (%)
13471
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2599
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2599
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 514
100.0%
Other Punctuation
ValueCountFrequency (%)
, 147
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48619
60.8%
Common 31257
39.1%
Latin 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5905
 
12.1%
3656
 
7.5%
3139
 
6.5%
3132
 
6.4%
3130
 
6.4%
3042
 
6.3%
2937
 
6.0%
2912
 
6.0%
2048
 
4.2%
2043
 
4.2%
Other values (254) 16675
34.3%
Common
ValueCountFrequency (%)
13471
43.1%
) 2599
 
8.3%
( 2599
 
8.3%
1 2228
 
7.1%
3 1698
 
5.4%
2 1666
 
5.3%
5 1094
 
3.5%
4 1066
 
3.4%
6 997
 
3.2%
7 907
 
2.9%
Other values (5) 2932
 
9.4%
Latin
ValueCountFrequency (%)
B 10
37.0%
A 7
25.9%
L 3
 
11.1%
K 2
 
7.4%
C 1
 
3.7%
E 1
 
3.7%
T 1
 
3.7%
S 1
 
3.7%
G 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48618
60.8%
ASCII 31284
39.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13471
43.1%
) 2599
 
8.3%
( 2599
 
8.3%
1 2228
 
7.1%
3 1698
 
5.4%
2 1666
 
5.3%
5 1094
 
3.5%
4 1066
 
3.4%
6 997
 
3.2%
7 907
 
2.9%
Other values (14) 2959
 
9.5%
Hangul
ValueCountFrequency (%)
5905
 
12.1%
3656
 
7.5%
3139
 
6.5%
3132
 
6.4%
3130
 
6.4%
3042
 
6.3%
2937
 
6.0%
2912
 
6.0%
2048
 
4.2%
2043
 
4.2%
Other values (253) 16674
34.3%
None
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct309
Distinct (%)19.2%
Missing2571
Missing (%)61.5%
Infinite0
Infinite (%)0.0%
Mean446662.68
Minimum41007
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:19.823262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41500
Q142718
median702834
Q3704833
95-th percentile711855
Maximum711892
Range670885
Interquartile range (IQR)662115

Descriptive statistics

Standard deviation323661.8
Coefficient of variation (CV)0.72462244
Kurtosis-1.799494
Mean446662.68
Median Absolute Deviation (MAD)8980
Skewness-0.44997303
Sum7.1868025 × 108
Variance1.0475696 × 1011
MonotonicityNot monotonic
2023-12-11T02:41:20.105031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704900 89
 
2.1%
704801 78
 
1.9%
702815 49
 
1.2%
711855 46
 
1.1%
704833 44
 
1.1%
704190 42
 
1.0%
703830 39
 
0.9%
703825 37
 
0.9%
702872 33
 
0.8%
704920 29
 
0.7%
Other values (299) 1123
26.9%
(Missing) 2571
61.5%
ValueCountFrequency (%)
41007 1
 
< 0.1%
41052 1
 
< 0.1%
41060 1
 
< 0.1%
41061 1
 
< 0.1%
41074 1
 
< 0.1%
41078 10
0.2%
41079 4
 
0.1%
41081 4
 
0.1%
41082 1
 
< 0.1%
41097 1
 
< 0.1%
ValueCountFrequency (%)
711892 10
0.2%
711891 18
0.4%
711890 2
 
< 0.1%
711882 2
 
< 0.1%
711874 2
 
< 0.1%
711871 2
 
< 0.1%
711861 1
 
< 0.1%
711860 1
 
< 0.1%
711858 19
0.5%
711857 16
0.4%
Distinct3559
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
2023-12-11T02:41:20.603572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.1818182
Min length2

Characters and Unicode

Total characters30020
Distinct characters563
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

Unique3066 ?
Unique (%)73.3%

Sample

1st row(주)대구에치티개발
2nd row신일모터스
3rd row(주)국민은행 대구지점
4th row이지스티디에이치제32호사모부동사투자유한회사
5th row대구우체국
ValueCountFrequency (%)
주식회사 48
 
1.1%
대구공장 24
 
0.5%
제2공장 20
 
0.4%
2공장 13
 
0.3%
성서공장 10
 
0.2%
10
 
0.2%
대구지점 8
 
0.2%
태성산업 7
 
0.2%
비산공장 7
 
0.2%
삼일산업 6
 
0.1%
Other values (3655) 4393
96.6%
2023-12-11T02:41:21.858751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1950
 
6.5%
) 1928
 
6.4%
1852
 
6.2%
975
 
3.2%
826
 
2.8%
789
 
2.6%
739
 
2.5%
630
 
2.1%
489
 
1.6%
465
 
1.5%
Other values (553) 19377
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24796
82.6%
Open Punctuation 1951
 
6.5%
Close Punctuation 1929
 
6.4%
Uppercase Letter 375
 
1.2%
Space Separator 366
 
1.2%
Other Punctuation 217
 
0.7%
Other Symbol 201
 
0.7%
Decimal Number 165
 
0.5%
Lowercase Letter 14
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1852
 
7.5%
975
 
3.9%
826
 
3.3%
789
 
3.2%
739
 
3.0%
630
 
2.5%
489
 
2.0%
465
 
1.9%
461
 
1.9%
458
 
1.8%
Other values (496) 17112
69.0%
Uppercase Letter
ValueCountFrequency (%)
S 44
 
11.7%
C 34
 
9.1%
T 30
 
8.0%
E 26
 
6.9%
M 22
 
5.9%
K 21
 
5.6%
P 21
 
5.6%
O 20
 
5.3%
D 20
 
5.3%
A 17
 
4.5%
Other values (15) 120
32.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
h 2
14.3%
a 1
 
7.1%
o 1
 
7.1%
m 1
 
7.1%
r 1
 
7.1%
t 1
 
7.1%
c 1
 
7.1%
n 1
 
7.1%
g 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 75
45.5%
1 57
34.5%
3 17
 
10.3%
8 6
 
3.6%
5 4
 
2.4%
6 3
 
1.8%
4 2
 
1.2%
9 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 104
47.9%
, 85
39.2%
& 16
 
7.4%
/ 7
 
3.2%
* 3
 
1.4%
2
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 1950
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1928
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
366
100.0%
Other Symbol
ValueCountFrequency (%)
201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24997
83.3%
Common 4634
 
15.4%
Latin 389
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1852
 
7.4%
975
 
3.9%
826
 
3.3%
789
 
3.2%
739
 
3.0%
630
 
2.5%
489
 
2.0%
465
 
1.9%
461
 
1.8%
458
 
1.8%
Other values (497) 17313
69.3%
Latin
ValueCountFrequency (%)
S 44
 
11.3%
C 34
 
8.7%
T 30
 
7.7%
E 26
 
6.7%
M 22
 
5.7%
K 21
 
5.4%
P 21
 
5.4%
O 20
 
5.1%
D 20
 
5.1%
A 17
 
4.4%
Other values (25) 134
34.4%
Common
ValueCountFrequency (%)
( 1950
42.1%
) 1928
41.6%
366
 
7.9%
. 104
 
2.2%
, 85
 
1.8%
2 75
 
1.6%
1 57
 
1.2%
3 17
 
0.4%
& 16
 
0.3%
/ 7
 
0.2%
Other values (11) 29
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24796
82.6%
ASCII 5021
 
16.7%
None 203
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1950
38.8%
) 1928
38.4%
366
 
7.3%
. 104
 
2.1%
, 85
 
1.7%
2 75
 
1.5%
1 57
 
1.1%
S 44
 
0.9%
C 34
 
0.7%
T 30
 
0.6%
Other values (45) 348
 
6.9%
Hangul
ValueCountFrequency (%)
1852
 
7.5%
975
 
3.9%
826
 
3.3%
789
 
3.2%
739
 
3.0%
630
 
2.5%
489
 
2.0%
465
 
1.9%
461
 
1.9%
458
 
1.8%
Other values (496) 17112
69.0%
None
ValueCountFrequency (%)
201
99.0%
2
 
1.0%

최종수정시점
Real number (ℝ)

Distinct4179
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0132607 × 1013
Minimum2.0001018 × 1013
Maximum2.0200429 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:22.182360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0001018 × 1013
5-th percentile2.0040625 × 1013
Q12.0090716 × 1013
median2.0150402 × 1013
Q32.0180902 × 1013
95-th percentile2.0200206 × 1013
Maximum2.0200429 × 1013
Range1.9941103 × 1011
Interquartile range (IQR)9.018579 × 1010

Descriptive statistics

Standard deviation5.2775045 × 1010
Coefficient of variation (CV)0.0026213717
Kurtosis-1.0593965
Mean2.0132607 × 1013
Median Absolute Deviation (MAD)3.9751016 × 1010
Skewness-0.45199874
Sum8.4154297 × 1016
Variance2.7852054 × 1021
MonotonicityNot monotonic
2023-12-11T02:41:22.534365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20060127103147 1
 
< 0.1%
20081008115306 1
 
< 0.1%
20081118112002 1
 
< 0.1%
20041227151636 1
 
< 0.1%
20071113113232 1
 
< 0.1%
20081118112312 1
 
< 0.1%
20070504134354 1
 
< 0.1%
20070125164720 1
 
< 0.1%
20040203155026 1
 
< 0.1%
Other values (4169) 4169
99.7%
ValueCountFrequency (%)
20001018165055 1
< 0.1%
20010104114108 1
< 0.1%
20010131100554 1
< 0.1%
20010328174344 1
< 0.1%
20010511135104 1
< 0.1%
20010605181832 1
< 0.1%
20010605182545 1
< 0.1%
20010605193518 1
< 0.1%
20010605194306 1
< 0.1%
20010625143852 1
< 0.1%
ValueCountFrequency (%)
20200429190614 1
< 0.1%
20200429182125 1
< 0.1%
20200429175022 1
< 0.1%
20200429163432 1
< 0.1%
20200429153840 1
< 0.1%
20200429152933 1
< 0.1%
20200429140517 1
< 0.1%
20200428163958 1
< 0.1%
20200428163306 1
< 0.1%
20200428162834 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
I
3243 
U
937 

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 3243
77.6%
U 937
 
22.4%

Length

2023-12-11T02:41:22.808448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:41:22.994206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3243
77.6%
u 937
 
22.4%
Distinct407
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
Minimum2018-09-01 23:59:59
Maximum2020-05-01 02:40:00
2023-12-11T02:41:23.216808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:41:23.505676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct405
Distinct (%)14.6%
Missing1404
Missing (%)33.6%
Memory size32.8 KiB
2023-12-11T02:41:24.236291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.314121
Min length2

Characters and Unicode

Total characters31408
Distinct characters293
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

Unique184 ?
Unique (%)6.6%

Sample

1st row부동산 임대업
2nd row우편 및 소포 송달업
3rd row백화점
4th row주거용 부동산 관리업
5th row병원
ValueCountFrequency (%)
제조업 1394
 
16.1%
기타 871
 
10.0%
775
 
8.9%
자동차 321
 
3.7%
가공업 302
 
3.5%
염색 284
 
3.3%
수리업 262
 
3.0%
섬유 261
 
3.0%
조립금속제품 229
 
2.6%
그외 204
 
2.4%
Other values (545) 3770
43.5%
2023-12-11T02:41:25.372572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5899
18.8%
2831
 
9.0%
2442
 
7.8%
1783
 
5.7%
1230
 
3.9%
1066
 
3.4%
943
 
3.0%
842
 
2.7%
784
 
2.5%
670
 
2.1%
Other values (283) 12918
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25356
80.7%
Space Separator 5899
 
18.8%
Other Punctuation 130
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2831
 
11.2%
2442
 
9.6%
1783
 
7.0%
1230
 
4.9%
1066
 
4.2%
943
 
3.7%
842
 
3.3%
784
 
3.1%
670
 
2.6%
582
 
2.3%
Other values (278) 12183
48.0%
Other Punctuation
ValueCountFrequency (%)
, 119
91.5%
· 6
 
4.6%
; 5
 
3.8%
Space Separator
ValueCountFrequency (%)
5899
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25356
80.7%
Common 6052
 
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2831
 
11.2%
2442
 
9.6%
1783
 
7.0%
1230
 
4.9%
1066
 
4.2%
943
 
3.7%
842
 
3.3%
784
 
3.1%
670
 
2.6%
582
 
2.3%
Other values (278) 12183
48.0%
Common
ValueCountFrequency (%)
5899
97.5%
, 119
 
2.0%
1 23
 
0.4%
· 6
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25356
80.7%
ASCII 6046
 
19.2%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5899
97.6%
, 119
 
2.0%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2831
 
11.2%
2442
 
9.6%
1783
 
7.0%
1230
 
4.9%
1066
 
4.2%
943
 
3.7%
842
 
3.3%
784
 
3.1%
670
 
2.6%
582
 
2.3%
Other values (278) 12183
48.0%
None
ValueCountFrequency (%)
· 6
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2515
Distinct (%)77.7%
Missing942
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean337781.13
Minimum324827.06
Maximum357474.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:25.719131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328283.55
Q1335021.05
median337647.66
Q3339934.52
95-th percentile348395.41
Maximum357474.36
Range32647.303
Interquartile range (IQR)4913.4707

Descriptive statistics

Standard deviation5720.4133
Coefficient of variation (CV)0.016935266
Kurtosis1.7452843
Mean337781.13
Median Absolute Deviation (MAD)2513.6391
Skewness0.8067136
Sum1.0937353 × 109
Variance32723129
MonotonicityNot monotonic
2023-12-11T02:41:26.058818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336344.302039 11
 
0.3%
336353.196287 8
 
0.2%
336366.064252 8
 
0.2%
339163.824109 7
 
0.2%
336559.670287 7
 
0.2%
338653.414866 7
 
0.2%
335898.647221 7
 
0.2%
339372.436369 6
 
0.1%
337148.956227 6
 
0.1%
339267.316441 6
 
0.1%
Other values (2505) 3165
75.7%
(Missing) 942
 
22.5%
ValueCountFrequency (%)
324827.061698 1
< 0.1%
325693.930075 1
< 0.1%
325695.119708 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%
325928.444036 1
< 0.1%
325935.356421 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 1
 
< 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 

Distinct2513
Distinct (%)77.6%
Missing942
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean261080.62
Minimum236283.75
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:26.375231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236283.75
5-th percentile248169.63
Q1259890.63
median262825.29
Q3265694.01
95-th percentile267891.41
Maximum278091.65
Range41807.907
Interquartile range (IQR)5803.3786

Descriptive statistics

Standard deviation6926.6701
Coefficient of variation (CV)0.026530771
Kurtosis2.5078926
Mean261080.62
Median Absolute Deviation (MAD)2905.2093
Skewness-1.6580438
Sum8.4537904 × 108
Variance47978759
MonotonicityNot monotonic
2023-12-11T02:41:26.684112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261497.640906 11
 
0.3%
261562.315791 8
 
0.2%
261651.801477 8
 
0.2%
265188.870359 7
 
0.2%
261730.820003 7
 
0.2%
263466.441258 7
 
0.2%
258962.00812 7
 
0.2%
266176.21665 6
 
0.1%
260602.149585 6
 
0.1%
263796.947456 6
 
0.1%
Other values (2503) 3165
75.7%
(Missing) 942
 
22.5%
ValueCountFrequency (%)
236283.746887 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%
237817.514628 1
< 0.1%
237831.890224 1
< 0.1%
237833.64806 1
< 0.1%
237835.998538 1
< 0.1%
ValueCountFrequency (%)
278091.653532 1
< 0.1%
277507.397404 1
< 0.1%
274498.743064 1
< 0.1%
274001.175164 1
< 0.1%
273857.356673 1
< 0.1%
273400.631796 1
< 0.1%
273237.600006 1
< 0.1%
272735.67566 1
< 0.1%
272669.414848 1
< 0.1%
271973.249974 1
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
대기배출업소관리
4180 

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 4180
100.0%

Length

2023-12-11T02:41:26.928977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:41:27.103396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 4180
100.0%

업종구분명
Text

MISSING 

Distinct405
Distinct (%)14.6%
Missing1404
Missing (%)33.6%
Memory size32.8 KiB
2023-12-11T02:41:27.661067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.314121
Min length2

Characters and Unicode

Total characters31408
Distinct characters293
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

Unique184 ?
Unique (%)6.6%

Sample

1st row부동산 임대업
2nd row우편 및 소포 송달업
3rd row백화점
4th row주거용 부동산 관리업
5th row병원
ValueCountFrequency (%)
제조업 1394
 
16.1%
기타 871
 
10.0%
775
 
8.9%
자동차 321
 
3.7%
가공업 302
 
3.5%
염색 284
 
3.3%
수리업 262
 
3.0%
섬유 261
 
3.0%
조립금속제품 229
 
2.6%
그외 204
 
2.4%
Other values (545) 3770
43.5%
2023-12-11T02:41:28.579306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5899
18.8%
2831
 
9.0%
2442
 
7.8%
1783
 
5.7%
1230
 
3.9%
1066
 
3.4%
943
 
3.0%
842
 
2.7%
784
 
2.5%
670
 
2.1%
Other values (283) 12918
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25356
80.7%
Space Separator 5899
 
18.8%
Other Punctuation 130
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2831
 
11.2%
2442
 
9.6%
1783
 
7.0%
1230
 
4.9%
1066
 
4.2%
943
 
3.7%
842
 
3.3%
784
 
3.1%
670
 
2.6%
582
 
2.3%
Other values (278) 12183
48.0%
Other Punctuation
ValueCountFrequency (%)
, 119
91.5%
· 6
 
4.6%
; 5
 
3.8%
Space Separator
ValueCountFrequency (%)
5899
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25356
80.7%
Common 6052
 
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2831
 
11.2%
2442
 
9.6%
1783
 
7.0%
1230
 
4.9%
1066
 
4.2%
943
 
3.7%
842
 
3.3%
784
 
3.1%
670
 
2.6%
582
 
2.3%
Other values (278) 12183
48.0%
Common
ValueCountFrequency (%)
5899
97.5%
, 119
 
2.0%
1 23
 
0.4%
· 6
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25356
80.7%
ASCII 6046
 
19.2%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5899
97.6%
, 119
 
2.0%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2831
 
11.2%
2442
 
9.6%
1783
 
7.0%
1230
 
4.9%
1066
 
4.2%
943
 
3.7%
842
 
3.3%
784
 
3.1%
670
 
2.6%
582
 
2.3%
Other values (278) 12183
48.0%
None
ValueCountFrequency (%)
· 6
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
5종
2194 
4종
1361 
3종
 
207
2종
 
187
<NA>
 
187

Length

Max length4
Median length2
Mean length2.0894737
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2194
52.5%
4종 1361
32.6%
3종 207
 
5.0%
2종 187
 
4.5%
<NA> 187
 
4.5%
1종 44
 
1.1%

Length

2023-12-11T02:41:28.858603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:41:29.106379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2194
52.5%
4종 1361
32.6%
3종 207
 
5.0%
2종 187
 
4.5%
na 187
 
4.5%
1종 44
 
1.1%

주생산품명
Text

MISSING 

Distinct864
Distinct (%)62.5%
Missing2798
Missing (%)66.9%
Memory size32.8 KiB
2023-12-11T02:41:29.690285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length5.9341534
Min length1

Characters and Unicode

Total characters8201
Distinct characters455
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

Unique697 ?
Unique (%)50.4%

Sample

1st row전력,온수
2nd row자동차부품
3rd row정비차량
4th row수리된 자동차
5th row자동차용 고무제품
ValueCountFrequency (%)
자동차부품 175
 
9.8%
자동차 43
 
2.4%
37
 
2.1%
안경테 29
 
1.6%
27
 
1.5%
부품 25
 
1.4%
가공원단 20
 
1.1%
전자부품 19
 
1.1%
고무시트 19
 
1.1%
자동차정비 17
 
1.0%
Other values (892) 1369
76.9%
2023-12-11T02:41:30.614467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
500
 
6.1%
409
 
5.0%
398
 
4.9%
391
 
4.8%
350
 
4.3%
344
 
4.2%
161
 
2.0%
161
 
2.0%
137
 
1.7%
, 130
 
1.6%
Other values (445) 5220
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7181
87.6%
Space Separator 398
 
4.9%
Uppercase Letter 239
 
2.9%
Other Punctuation 144
 
1.8%
Lowercase Letter 79
 
1.0%
Close Punctuation 64
 
0.8%
Open Punctuation 64
 
0.8%
Decimal Number 25
 
0.3%
Dash Punctuation 6
 
0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
500
 
7.0%
409
 
5.7%
391
 
5.4%
350
 
4.9%
344
 
4.8%
161
 
2.2%
161
 
2.2%
137
 
1.9%
127
 
1.8%
112
 
1.6%
Other values (384) 4489
62.5%
Uppercase Letter
ValueCountFrequency (%)
P 43
18.0%
E 38
15.9%
C 20
8.4%
D 17
 
7.1%
L 17
 
7.1%
T 16
 
6.7%
I 15
 
6.3%
O 14
 
5.9%
R 10
 
4.2%
S 8
 
3.3%
Other values (12) 41
17.2%
Lowercase Letter
ValueCountFrequency (%)
o 9
11.4%
r 8
10.1%
e 8
10.1%
i 7
 
8.9%
t 7
 
8.9%
l 6
 
7.6%
f 5
 
6.3%
a 5
 
6.3%
u 3
 
3.8%
n 3
 
3.8%
Other values (11) 18
22.8%
Decimal Number
ValueCountFrequency (%)
1 6
24.0%
0 5
20.0%
6 4
16.0%
8 3
12.0%
2 2
 
8.0%
5 2
 
8.0%
9 1
 
4.0%
7 1
 
4.0%
4 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 130
90.3%
. 11
 
7.6%
/ 2
 
1.4%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
398
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7181
87.6%
Common 702
 
8.6%
Latin 318
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
500
 
7.0%
409
 
5.7%
391
 
5.4%
350
 
4.9%
344
 
4.8%
161
 
2.2%
161
 
2.2%
137
 
1.9%
127
 
1.8%
112
 
1.6%
Other values (384) 4489
62.5%
Latin
ValueCountFrequency (%)
P 43
 
13.5%
E 38
 
11.9%
C 20
 
6.3%
D 17
 
5.3%
L 17
 
5.3%
T 16
 
5.0%
I 15
 
4.7%
O 14
 
4.4%
R 10
 
3.1%
o 9
 
2.8%
Other values (33) 119
37.4%
Common
ValueCountFrequency (%)
398
56.7%
, 130
 
18.5%
) 64
 
9.1%
( 64
 
9.1%
. 11
 
1.6%
- 6
 
0.9%
1 6
 
0.9%
0 5
 
0.7%
6 4
 
0.6%
8 3
 
0.4%
Other values (8) 11
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7181
87.6%
ASCII 1019
 
12.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
500
 
7.0%
409
 
5.7%
391
 
5.4%
350
 
4.9%
344
 
4.8%
161
 
2.2%
161
 
2.2%
137
 
1.9%
127
 
1.8%
112
 
1.6%
Other values (384) 4489
62.5%
ASCII
ValueCountFrequency (%)
398
39.1%
, 130
 
12.8%
) 64
 
6.3%
( 64
 
6.3%
P 43
 
4.2%
E 38
 
3.7%
C 20
 
2.0%
D 17
 
1.7%
L 17
 
1.7%
T 16
 
1.6%
Other values (50) 212
20.8%
None
ValueCountFrequency (%)
1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct33
Distinct (%)0.8%
Missing57
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean7.6564759
Minimum0
Maximum912
Zeros1376
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:30.880806image/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 deviation15.898198
Coefficient of variation (CV)2.0764381
Kurtosis2540.8501
Mean7.6564759
Median Absolute Deviation (MAD)4
Skewness44.767839
Sum31567.65
Variance252.75271
MonotonicityNot monotonic
2023-12-11T02:41:31.163646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
8.0 1487
35.6%
0.0 1376
32.9%
24.0 436
 
10.4%
10.0 225
 
5.4%
6.0 83
 
2.0%
12.0 70
 
1.7%
20.0 60
 
1.4%
5.0 60
 
1.4%
7.0 53
 
1.3%
4.0 53
 
1.3%
Other values (23) 220
 
5.3%
(Missing) 57
 
1.4%
ValueCountFrequency (%)
0.0 1376
32.9%
1.0 11
 
0.3%
1.5 1
 
< 0.1%
2.0 13
 
0.3%
2.5 1
 
< 0.1%
3.0 20
 
0.5%
3.5 1
 
< 0.1%
4.0 53
 
1.3%
5.0 60
 
1.4%
6.0 83
 
2.0%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
30.0 3
 
0.1%
25.0 2
 
< 0.1%
24.0 436
10.4%
22.0 13
 
0.3%
21.0 8
 
0.2%
20.0 60
 
1.4%
19.0 3
 
0.1%
18.0 7
 
0.2%
17.0 2
 
< 0.1%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)2.2%
Missing60
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean194.54636
Minimum0
Maximum365
Zeros1390
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:31.430251image/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 deviation142.25611
Coefficient of variation (CV)0.73121957
Kurtosis-1.5813701
Mean194.54636
Median Absolute Deviation (MAD)0
Skewness-0.58598643
Sum801531
Variance20236.8
MonotonicityNot monotonic
2023-12-11T02:41:31.708148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2134
51.1%
0 1390
33.3%
240 62
 
1.5%
365 56
 
1.3%
312 40
 
1.0%
264 31
 
0.7%
360 29
 
0.7%
250 27
 
0.6%
180 24
 
0.6%
280 23
 
0.6%
Other values (80) 304
 
7.3%
(Missing) 60
 
1.4%
ValueCountFrequency (%)
0 1390
33.3%
8 1
 
< 0.1%
24 3
 
0.1%
25 2
 
< 0.1%
30 3
 
0.1%
52 1
 
< 0.1%
60 3
 
0.1%
80 1
 
< 0.1%
84 1
 
< 0.1%
88 1
 
< 0.1%
ValueCountFrequency (%)
365 56
1.3%
362 1
 
< 0.1%
361 2
 
< 0.1%
360 29
0.7%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 14
 
0.3%
340 14
 
0.3%
338 1
 
< 0.1%
336 13
 
0.3%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)0.9%
Missing420
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean7.2624069
Minimum0
Maximum360
Zeros1375
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:31.963318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile24
Maximum360
Range360
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10.820522
Coefficient of variation (CV)1.4899361
Kurtosis417.33433
Mean7.2624069
Median Absolute Deviation (MAD)7
Skewness14.999534
Sum27306.65
Variance117.0837
MonotonicityNot monotonic
2023-12-11T02:41:32.225524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 1375
32.9%
8.0 1340
32.1%
24.0 368
 
8.8%
10.0 185
 
4.4%
6.0 66
 
1.6%
5.0 56
 
1.3%
12.0 56
 
1.3%
7.0 50
 
1.2%
20.0 48
 
1.1%
16.0 41
 
1.0%
Other values (22) 175
 
4.2%
(Missing) 420
 
10.0%
ValueCountFrequency (%)
0.0 1375
32.9%
1.0 10
 
0.2%
2.0 10
 
0.2%
3.0 13
 
0.3%
4.0 40
 
1.0%
5.0 56
 
1.3%
6.0 66
 
1.6%
7.0 50
 
1.2%
7.5 2
 
< 0.1%
8.0 1340
32.1%
ValueCountFrequency (%)
360.0 1
 
< 0.1%
264.0 1
 
< 0.1%
210.0 1
 
< 0.1%
100.0 1
 
< 0.1%
30.0 3
 
0.1%
25.0 3
 
0.1%
24.0 368
8.8%
22.0 10
 
0.2%
21.0 8
 
0.2%
20.0 48
 
1.1%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)2.1%
Missing408
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean187.28632
Minimum0
Maximum365
Zeros1382
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2023-12-11T02:41:32.539969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile306
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation144.75988
Coefficient of variation (CV)0.77293353
Kurtosis-1.7098277
Mean187.28632
Median Absolute Deviation (MAD)0
Skewness-0.48714408
Sum706444
Variance20955.422
MonotonicityNot monotonic
2023-12-11T02:41:32.841363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 1926
46.1%
0 1382
33.1%
240 48
 
1.1%
312 40
 
1.0%
365 34
 
0.8%
250 24
 
0.6%
360 24
 
0.6%
280 22
 
0.5%
264 22
 
0.5%
330 19
 
0.5%
Other values (68) 231
 
5.5%
(Missing) 408
 
9.8%
ValueCountFrequency (%)
0 1382
33.1%
4 1
 
< 0.1%
8 1
 
< 0.1%
24 1
 
< 0.1%
25 2
 
< 0.1%
30 2
 
< 0.1%
52 1
 
< 0.1%
60 2
 
< 0.1%
84 1
 
< 0.1%
90 1
 
< 0.1%
ValueCountFrequency (%)
365 34
0.8%
362 1
 
< 0.1%
361 1
 
< 0.1%
360 24
0.6%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 13
 
0.3%
340 12
 
0.3%
338 1
 
< 0.1%
336 11
 
0.3%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
01대기오염물질배출시설설치사업장09_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>
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_P341000034100002120150000620151120<NA>1영업/정상11영업<NA><NA><NA><NA>053-251-6019<NA><NA>대구광역시 중구 남일동 138-3번지 국민은행대구지점대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)41935(주)국민은행 대구지점20190923192853U2019-09-25 02:40:00.0<NA>343836.000284264353.542698대기배출업소관리<NA>5종<NA>6.0180<NA><NA>
34대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001720151217<NA>1영업/정상11영업<NA><NA><NA><NA>0534288984<NA><NA><NA>대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)41913이지스티디에이치제32호사모부동사투자유한회사20190923085954U2019-09-25 02:40:00.0부동산 임대업344223.636477264597.611089대기배출업소관리부동산 임대업4종<NA>6.0240<NA><NA>
45대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001820151217<NA>1영업/정상11영업<NA><NA><NA><NA>0532502000<NA><NA><NA>대구광역시 중구 경상감영길 80 (포정동, 대구우체국)41918대구우체국20191122171754U2019-11-26 02:40:00.0우편 및 소포 송달업343687.68301264634.313879대기배출업소관리우편 및 소포 송달업5종<NA>4.0100<NA><NA>
56대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001920151217<NA>1영업/정상11영업<NA><NA><NA><NA>0532579663<NA><NA><NA>대구광역시 중구 달성로 37 (대신동, 계성빌딩)41927(학)계성학원20190923090146U2019-09-25 02:40:00.0<NA>342795.702037264290.451468대기배출업소관리<NA>5종<NA>3.0150<NA><NA>
67대기오염물질배출시설설치사업장09_30_08_P341000034100002120150002020151217<NA>1영업/정상11영업<NA><NA><NA><NA>0534299111<NA><NA><NA>대구광역시 중구 동성로 30 (동성로2가, 대구백화점건물)41938(주)대구백화점20151217130354I2018-10-04 11:12:49.0백화점344047.979265264405.128696대기배출업소관리백화점5종<NA>6.0180<NA><NA>
78대기오염물질배출시설설치사업장09_30_08_P341000034100002120150002120151221<NA>1영업/정상11영업<NA><NA><NA><NA>0532453107<NA><NA><NA>대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점)41936(주)현대백화점 대구점20151228172513I2018-10-04 11:12:49.0<NA>343588.735555264119.01075대기배출업소관리<NA>4종<NA>10.0240<NA><NA>
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41704171대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000520080221<NA>1영업/정상11영업<NA><NA><NA><NA>0533534086<NA><NA>대구광역시 달성군 논공읍 상리 703번지대구광역시 달성군 논공읍 비슬로262길 75-15<NA>(주)케이에스티20191016100300U2019-10-18 02:40:00.0조립금속제품 제조업 기계 및 가구 제외327891.95051250891.065314대기배출업소관리조립금속제품 제조업 기계 및 가구 제외5종알루미늄파이프8.03008.0300
41714172대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000620080318<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 본리리 103-35번지대구광역시 달성군 논공읍 논공로87길 75<NA>(주)신화캐스팅20190424152027U2019-04-26 02:40:00.0선철주물 주조업332959.428756248782.732222대기배출업소관리선철주물 주조업4종주물제품6.03006.0300
41724173대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000720080318<NA>1영업/정상11영업<NA><NA><NA><NA>0536112233<NA><NA>대구광역시 달성군 구지면 예현리 758-6번지대구광역시 달성군 구지면 달성2차동1로 188711891(주)엠텍20191023141436U2019-10-25 02:40:00.0기타 화학제품 제조업328969.221689238905.478754대기배출업소관리기타 화학제품 제조업5종<NA>8.03008.0300
41734174대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000920080404<NA>1영업/정상11영업<NA><NA><NA><NA>0536119350<NA><NA>대구광역시 달성군 구지면 내리 847-10번지대구광역시 달성군 구지면 달성2차4로 59<NA>텍산(주)20191017203730U2019-10-19 02:40:00.0금속 열처리업328742.127143238572.966182대기배출업소관리금속 열처리업5종무한궤도24.030024.0300
41744175대기오염물질배출시설설치사업장09_30_08_P348000034800002120080001020080417<NA>1영업/정상11영업<NA><NA><NA><NA>0535642201<NA><NA>대구광역시 달성군 구지면 예현리 761번지대구광역시 달성군 구지면 달성2차로 220711891(주)한국소방기구제작소 구지공장20181129163022U2018-12-01 02:40:00.0기타 화학제품 제조업329302.715181238662.711304대기배출업소관리기타 화학제품 제조업4종소화기8.03008.0300
41754176대기오염물질배출시설설치사업장09_30_08_P348000034800002120080001120080424<NA>1영업/정상11영업<NA><NA><NA><NA>0536177200<NA><NA>대구광역시 달성군 논공읍 상리 793-7번지 외 4필지대구광역시 달성군 논공읍 비슬로262길 2142976상리정비현대서비스(주)20190130134927U2019-02-01 02:40:00.0자동차 종합 수리업327569.45258250495.528647대기배출업소관리자동차 종합 수리업4종자동차정비8.03008.0300
41764177대기오염물질배출시설설치사업장09_30_08_P348000034800002120080001220080428<NA>1영업/정상11영업<NA><NA><NA><NA>0536113101<NA><NA>대구광역시 달성군 구지면 예현리 764-2번지대구광역시 달성군 구지면 달성2차3로 60<NA>(주)에이피엠20181129155301U2018-12-01 02:40:00.0기타 조립금속제품 제조업328933.55363238246.501108대기배출업소관리기타 조립금속제품 제조업5종자동차부품8.03008.0300
41774178대기오염물질배출시설설치사업장09_30_08_P348000034800002120080001620080722<NA>1영업/정상11영업<NA><NA><NA><NA>0535817161<NA><NA>대구광역시 달성군 구지면 예현리 758-4번지대구광역시 달성군 구지면 달성2차동1로 176711891(주)디앤디테크20181129162740U2018-12-01 02:40:00.0화합물 및 화학제품 제조업328859.762181238930.449269대기배출업소관리화합물 및 화학제품 제조업5종발수제8.02888.0288
41784179대기오염물질배출시설설치사업장09_30_08_P348000034800002120080001720080729<NA>1영업/정상11영업<NA><NA><NA><NA>0535263904<NA><NA>대구광역시 달성군 다사읍 서재리 424-2번지대구광역시 달성군 다사읍 서재로18길 6<NA>오프로드20181129160009U2018-12-01 02:40:00.0그외 기타 분류안된 섬유제품 제조업335202.728175264430.207945대기배출업소관리그외 기타 분류안된 섬유제품 제조업5종기모가공8.03008.0300
41794180대기오염물질배출시설설치사업장09_30_08_P348000034800002120080001820081128<NA>1영업/정상11영업<NA><NA><NA><NA>0536172332<NA><NA>대구광역시 달성군 구지면 예현리 764-7번지대구광역시 달성군 구지면 달성2차동3로 43711891(주)신정기공20181129162835U2018-12-01 02:40:00.0기타 조립금속제품 제조업329197.530919238218.282793대기배출업소관리기타 조립금속제품 제조업4종<NA>8.03008.0300