Overview

Dataset statistics

Number of variables37
Number of observations5088
Missing cells47838
Missing cells (%)25.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory318.0 B

Variable types

Numeric15
Categorical9
Unsupported5
Text7
DateTime1

Dataset

Description22년10월_6270000_대구광역시_09_30_08_P_대기오염물질배출시설설치사업장
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096995&dataSetDetailId=DDI_0000097030&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
환경업무구분명 has constant value ""Constant
인허가취소일자 has 5088 (100.0%) missing valuesMissing
폐업일자 has 2598 (51.1%) missing valuesMissing
휴업시작일자 has 5088 (100.0%) missing valuesMissing
휴업종료일자 has 5088 (100.0%) missing valuesMissing
재개업일자 has 5088 (100.0%) missing valuesMissing
소재지전화 has 624 (12.3%) missing valuesMissing
소재지면적 has 5088 (100.0%) missing valuesMissing
소재지우편번호 has 3898 (76.6%) missing valuesMissing
소재지전체주소 has 117 (2.3%) missing valuesMissing
도로명전체주소 has 1203 (23.6%) missing valuesMissing
도로명우편번호 has 3160 (62.1%) missing valuesMissing
업태구분명 has 1682 (33.1%) missing valuesMissing
좌표정보(X) has 1087 (21.4%) missing valuesMissing
좌표정보(Y) has 1087 (21.4%) missing valuesMissing
업종구분명 has 1682 (33.1%) missing valuesMissing
주생산품명 has 3581 (70.4%) missing valuesMissing
배출시설조업시간 has 63 (1.2%) missing valuesMissing
방지시설조업시간 has 452 (8.9%) missing valuesMissing
사업자등록번호 has 1164 (22.9%) missing valuesMissing
폐업일자 is highly skewed (γ1 = -48.23635585)Skewed
배출시설조업시간 is highly skewed (γ1 = 44.42555405)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 1525 (30.0%) zerosZeros
배출시설연간가동일수 has 1609 (31.6%) zerosZeros
방지시설조업시간 has 1552 (30.5%) zerosZeros
방지시설연간가동일수 has 1974 (38.8%) zerosZeros

Reproduction

Analysis started2024-04-21 03:23:56.664524
Analysis finished2024-04-21 03:23:59.162645
Duration2.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2544.5
Minimum1
Maximum5088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:23:59.356294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile255.35
Q11272.75
median2544.5
Q33816.25
95-th percentile4833.65
Maximum5088
Range5087
Interquartile range (IQR)2543.5

Descriptive statistics

Standard deviation1468.9234
Coefficient of variation (CV)0.57729354
Kurtosis-1.2
Mean2544.5
Median Absolute Deviation (MAD)1272
Skewness0
Sum12946416
Variance2157736
MonotonicityStrictly increasing
2024-04-21T12:23:59.793530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3391 1
 
< 0.1%
3398 1
 
< 0.1%
3397 1
 
< 0.1%
3396 1
 
< 0.1%
3395 1
 
< 0.1%
3394 1
 
< 0.1%
3393 1
 
< 0.1%
3392 1
 
< 0.1%
3390 1
 
< 0.1%
Other values (5078) 5078
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 (%)
5088 1
< 0.1%
5087 1
< 0.1%
5086 1
< 0.1%
5085 1
< 0.1%
5084 1
< 0.1%
5083 1
< 0.1%
5082 1
< 0.1%
5081 1
< 0.1%
5080 1
< 0.1%
5079 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
대기오염물질배출시설설치사업장
5088 

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 5088
100.0%

Length

2024-04-21T12:24:00.112408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:24:00.267030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 5088
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
09_30_08_P
5088 

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 5088
100.0%

Length

2024-04-21T12:24:00.431278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:24:00.585940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 5088
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3455202.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:00.727856image/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 deviation19023.701
Coefficient of variation (CV)0.0055058139
Kurtosis-1.1409037
Mean3455202.4
Median Absolute Deviation (MAD)20000
Skewness-0.35580713
Sum1.758007 × 1010
Variance3.6190122 × 108
MonotonicityIncreasing
2024-04-21T12:24:00.923799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1588
31.2%
3450000 1325
26.0%
3430000 1087
21.4%
3480000 749
14.7%
3420000 174
 
3.4%
3460000 104
 
2.0%
3410000 41
 
0.8%
3440000 20
 
0.4%
ValueCountFrequency (%)
3410000 41
 
0.8%
3420000 174
 
3.4%
3430000 1087
21.4%
3440000 20
 
0.4%
3450000 1325
26.0%
3460000 104
 
2.0%
3470000 1588
31.2%
3480000 749
14.7%
ValueCountFrequency (%)
3480000 749
14.7%
3470000 1588
31.2%
3460000 104
 
2.0%
3450000 1325
26.0%
3440000 20
 
0.4%
3430000 1087
21.4%
3420000 174
 
3.4%
3410000 41
 
0.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4552026 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:01.166708image/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 deviation1.9023701 × 1015
Coefficient of variation (CV)0.0055058135
Kurtosis-1.1409037
Mean3.4552026 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.35580713
Sum5.5664209 × 1018
Variance3.6190122 × 1030
MonotonicityNot monotonic
2024-04-21T12:24:01.430552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021202200002 1
 
< 0.1%
347000021199100021 1
 
< 0.1%
347000021199200007 1
 
< 0.1%
347000021199200006 1
 
< 0.1%
347000021199200005 1
 
< 0.1%
347000021199200004 1
 
< 0.1%
347000021199200002 1
 
< 0.1%
347000021199200001 1
 
< 0.1%
347000021199100023 1
 
< 0.1%
347000021198800016 1
 
< 0.1%
Other values (5078) 5078
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 (%)
348000021202200015 1
< 0.1%
348000021202200014 1
< 0.1%
348000021202200013 1
< 0.1%
348000021202200012 1
< 0.1%
348000021202200011 1
< 0.1%
348000021202200010 1
< 0.1%
348000021202200009 1
< 0.1%
348000021202200008 1
< 0.1%
348000021202200007 1
< 0.1%
348000021202200006 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3249
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20019842
Minimum19010101
Maximum20221017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:01.700679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19840920
Q119970109
median20040621
Q320120322
95-th percentile20191176
Maximum20221017
Range1210916
Interquartile range (IQR)150213

Descriptive statistics

Standard deviation172954.61
Coefficient of variation (CV)0.0086391595
Kurtosis20.19242
Mean20019842
Median Absolute Deviation (MAD)79686
Skewness-3.862625
Sum1.0186096 × 1011
Variance2.9913297 × 1010
MonotonicityNot monotonic
2024-04-21T12:24:01.968026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19010101 100
 
2.0%
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
 
0.5%
19940427 16
 
0.3%
20151231 13
 
0.3%
Other values (3239) 4686
92.1%
ValueCountFrequency (%)
19010101 100
2.0%
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 (%)
20221017 1
< 0.1%
20221014 1
< 0.1%
20221012 1
< 0.1%
20221007 1
< 0.1%
20220928 1
< 0.1%
20220927 1
< 0.1%
20220921 1
< 0.1%
20220915 1
< 0.1%
20220826 2
< 0.1%
20220825 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5088
Missing (%)100.0%
Memory size44.8 KiB
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
1
2047 
3
2037 
4
1004 

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 (%)
1 2047
40.2%
3 2037
40.0%
4 1004
19.7%

Length

2024-04-21T12:24:02.199288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:24:02.533296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2047
40.2%
3 2037
40.0%
4 1004
19.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
영업/정상
2047 
폐업
2037 
취소/말소/만료/정지/중지
1004 

Length

Max length14
Median length5
Mean length5.5748821
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 (%)
영업/정상 2047
40.2%
폐업 2037
40.0%
취소/말소/만료/정지/중지 1004
19.7%

Length

2024-04-21T12:24:02.719131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:24:02.896665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2047
40.2%
폐업 2037
40.0%
취소/말소/만료/정지/중지 1004
19.7%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
11
2047 
2
2037 
4
1004 

Length

Max length2
Median length1
Mean length1.4023192
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 2047
40.2%
2 2037
40.0%
4 1004
19.7%

Length

2024-04-21T12:24:03.086964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:24:03.265407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 2047
40.2%
2 2037
40.0%
4 1004
19.7%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
영업
2047 
폐업
2037 
폐쇄
1004 

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 (%)
영업 2047
40.2%
폐업 2037
40.0%
폐쇄 1004
19.7%

Length

2024-04-21T12:24:03.442246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:24:03.609884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 2047
40.2%
폐업 2037
40.0%
폐쇄 1004
19.7%

폐업일자
Real number (ℝ)

MISSING  SKEWED 

Distinct1506
Distinct (%)60.5%
Missing2598
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean20092178
Minimum199705
Maximum20221025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:03.818830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199705
5-th percentile20030128
Q120050208
median20081118
Q320160284
95-th percentile20210306
Maximum20221025
Range20021320
Interquartile range (IQR)110075.75

Descriptive statistics

Standard deviation403333.09
Coefficient of variation (CV)0.020074135
Kurtosis2379.9846
Mean20092178
Median Absolute Deviation (MAD)40505
Skewness-48.236356
Sum5.0029522 × 1010
Variance1.6267758 × 1011
MonotonicityNot monotonic
2024-04-21T12:24:04.097512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160418 114
 
2.2%
20040104 109
 
2.1%
20081008 52
 
1.0%
20081118 49
 
1.0%
20081006 39
 
0.8%
20040701 37
 
0.7%
20040907 21
 
0.4%
20091221 16
 
0.3%
20091218 11
 
0.2%
20040706 11
 
0.2%
Other values (1496) 2031
39.9%
(Missing) 2598
51.1%
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 (%)
20221025 1
< 0.1%
20221024 1
< 0.1%
20221005 1
< 0.1%
20220928 1
< 0.1%
20220923 1
< 0.1%
20220920 1
< 0.1%
20220915 1
< 0.1%
20220906 1
< 0.1%
20220826 1
< 0.1%
20220811 2
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5088
Missing (%)100.0%
Memory size44.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5088
Missing (%)100.0%
Memory size44.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5088
Missing (%)100.0%
Memory size44.8 KiB

소재지전화
Text

MISSING 

Distinct4163
Distinct (%)93.3%
Missing624
Missing (%)12.3%
Memory size39.9 KiB
2024-04-21T12:24:05.102008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.9410842
Min length3

Characters and Unicode

Total characters44377
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3889 ?
Unique (%)87.1%

Sample

1st row053-661-2000
2nd row593-3198
3rd row0534310803
4th row07044977480
5th row053-250-5555
ValueCountFrequency (%)
053 732
 
10.9%
581 120
 
1.8%
354 84
 
1.2%
353 83
 
1.2%
582 78
 
1.2%
357 77
 
1.1%
356 72
 
1.1%
358 71
 
1.1%
583 67
 
1.0%
351 61
 
0.9%
Other values (4051) 5283
78.5%
2024-04-21T12:24:06.316933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 9008
20.3%
3 7120
16.0%
0 6239
14.1%
1 3745
8.4%
8 3128
 
7.0%
6 2978
 
6.7%
2 2637
 
5.9%
2294
 
5.2%
7 2245
 
5.1%
4 2115
 
4.8%
Other values (5) 2868
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40989
92.4%
Space Separator 2294
 
5.2%
Dash Punctuation 1091
 
2.5%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9008
22.0%
3 7120
17.4%
0 6239
15.2%
1 3745
9.1%
8 3128
 
7.6%
6 2978
 
7.3%
2 2637
 
6.4%
7 2245
 
5.5%
4 2115
 
5.2%
9 1774
 
4.3%
Space Separator
ValueCountFrequency (%)
2294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1091
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44377
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 9008
20.3%
3 7120
16.0%
0 6239
14.1%
1 3745
8.4%
8 3128
 
7.0%
6 2978
 
6.7%
2 2637
 
5.9%
2294
 
5.2%
7 2245
 
5.1%
4 2115
 
4.8%
Other values (5) 2868
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44377
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 9008
20.3%
3 7120
16.0%
0 6239
14.1%
1 3745
8.4%
8 3128
 
7.0%
6 2978
 
6.7%
2 2637
 
5.9%
2294
 
5.2%
7 2245
 
5.1%
4 2115
 
4.8%
Other values (5) 2868
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5088
Missing (%)100.0%
Memory size44.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct134
Distinct (%)11.3%
Missing3898
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean694842.85
Minimum4
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:06.597230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile702012
Q1702083
median704070
Q3704801
95-th percentile711855
Maximum711891
Range711887
Interquartile range (IQR)2718

Descriptive statistics

Standard deviation81125.807
Coefficient of variation (CV)0.11675418
Kurtosis69.51938
Mean694842.85
Median Absolute Deviation (MAD)953
Skewness-8.4448011
Sum8.2686299 × 108
Variance6.5813966 × 109
MonotonicityNot monotonic
2024-04-21T12:24:06.907341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702083 232
 
4.6%
704190 63
 
1.2%
702050 57
 
1.1%
704900 54
 
1.1%
703830 53
 
1.0%
711855 38
 
0.7%
704801 36
 
0.7%
704170 34
 
0.7%
703833 33
 
0.6%
704200 32
 
0.6%
Other values (124) 558
 
11.0%
(Missing) 3898
76.6%
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 5
 
0.1%
ValueCountFrequency (%)
711891 7
0.1%
711890 2
 
< 0.1%
711882 1
 
< 0.1%
711874 3
0.1%
711873 1
 
< 0.1%
711871 3
0.1%
711863 2
 
< 0.1%
711860 1
 
< 0.1%
711858 3
0.1%
711857 3
0.1%

소재지전체주소
Text

MISSING 

Distinct4000
Distinct (%)80.5%
Missing117
Missing (%)2.3%
Memory size39.9 KiB
2024-04-21T12:24:08.150063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length21.745725
Min length13

Characters and Unicode

Total characters108098
Distinct characters265
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

Unique3344 ?
Unique (%)67.3%

Sample

1st row대구광역시 중구 동인동2가 177-4 중구청
2nd row대구광역시 중구 수창동 47-1번지
3rd row대구광역시 중구 삼덕동2가 188-1 경북대학교치과병원
4th row대구광역시 중구 동인동2가 74-15
5th row대구광역시 중구 동성로2가 88-25
ValueCountFrequency (%)
대구광역시 4971
23.6%
달서구 1380
 
6.5%
북구 1321
 
6.3%
서구 1069
 
5.1%
달성군 904
 
4.3%
노원동3가 756
 
3.6%
이현동 380
 
1.8%
갈산동 369
 
1.7%
비산동 364
 
1.7%
논공읍 355
 
1.7%
Other values (4092) 9231
43.7%
2024-04-21T12:24:09.606551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21114
19.5%
9232
 
8.5%
5260
 
4.9%
4980
 
4.6%
4975
 
4.6%
4974
 
4.6%
4372
 
4.0%
1 4268
 
3.9%
- 3713
 
3.4%
2 2866
 
2.7%
Other values (255) 42344
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61057
56.5%
Decimal Number 21757
 
20.1%
Space Separator 21114
 
19.5%
Dash Punctuation 3713
 
3.4%
Uppercase Letter 165
 
0.2%
Close Punctuation 128
 
0.1%
Open Punctuation 111
 
0.1%
Other Punctuation 48
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9232
15.1%
5260
 
8.6%
4980
 
8.2%
4975
 
8.1%
4974
 
8.1%
4372
 
7.2%
2786
 
4.6%
2540
 
4.2%
2494
 
4.1%
2290
 
3.8%
Other values (231) 17154
28.1%
Decimal Number
ValueCountFrequency (%)
1 4268
19.6%
2 2866
13.2%
3 2819
13.0%
0 2323
10.7%
4 1920
8.8%
5 1606
 
7.4%
6 1603
 
7.4%
7 1539
 
7.1%
9 1464
 
6.7%
8 1349
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 83
50.3%
L 70
42.4%
A 7
 
4.2%
K 2
 
1.2%
C 1
 
0.6%
T 1
 
0.6%
S 1
 
0.6%
Space Separator
ValueCountFrequency (%)
21114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3713
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Other Punctuation
ValueCountFrequency (%)
, 48
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61058
56.5%
Common 46871
43.4%
Latin 169
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9232
15.1%
5260
 
8.6%
4980
 
8.2%
4975
 
8.1%
4974
 
8.1%
4372
 
7.2%
2786
 
4.6%
2540
 
4.2%
2494
 
4.1%
2290
 
3.8%
Other values (232) 17155
28.1%
Common
ValueCountFrequency (%)
21114
45.0%
1 4268
 
9.1%
- 3713
 
7.9%
2 2866
 
6.1%
3 2819
 
6.0%
0 2323
 
5.0%
4 1920
 
4.1%
5 1606
 
3.4%
6 1603
 
3.4%
7 1539
 
3.3%
Other values (5) 3100
 
6.6%
Latin
ValueCountFrequency (%)
B 83
49.1%
L 70
41.4%
A 7
 
4.1%
b 4
 
2.4%
K 2
 
1.2%
C 1
 
0.6%
T 1
 
0.6%
S 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61057
56.5%
ASCII 47040
43.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21114
44.9%
1 4268
 
9.1%
- 3713
 
7.9%
2 2866
 
6.1%
3 2819
 
6.0%
0 2323
 
4.9%
4 1920
 
4.1%
5 1606
 
3.4%
6 1603
 
3.4%
7 1539
 
3.3%
Other values (13) 3269
 
6.9%
Hangul
ValueCountFrequency (%)
9232
15.1%
5260
 
8.6%
4980
 
8.2%
4975
 
8.1%
4974
 
8.1%
4372
 
7.2%
2786
 
4.6%
2540
 
4.2%
2494
 
4.1%
2290
 
3.8%
Other values (231) 17154
28.1%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct3350
Distinct (%)86.2%
Missing1203
Missing (%)23.6%
Memory size39.9 KiB
2024-04-21T12:24:10.717799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length25.738481
Min length19

Characters and Unicode

Total characters99994
Distinct characters316
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

Unique2932 ?
Unique (%)75.5%

Sample

1st row대구광역시 중구 국채보상로139길 1, 중구청 (동인동2가)
2nd row대구광역시 중구 달성로26길 86 (수창동)
3rd row대구광역시 중구 달구벌대로 2175, 경북대학교치과병원 (삼덕동2가)
4th row대구광역시 중구 동덕로 167 (동인동2가)
5th row대구광역시 중구 국채보상로 586 (동성로2가)
ValueCountFrequency (%)
대구광역시 3885
 
19.7%
북구 1048
 
5.3%
달서구 1022
 
5.2%
서구 829
 
4.2%
달성군 684
 
3.5%
노원동3가 632
 
3.2%
논공읍 332
 
1.7%
이현동 279
 
1.4%
비산동 277
 
1.4%
갈산동 247
 
1.3%
Other values (1852) 10516
53.2%
2024-04-21T12:24:12.087016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16840
 
16.8%
7421
 
7.4%
4466
 
4.5%
3905
 
3.9%
3890
 
3.9%
3890
 
3.9%
3794
 
3.8%
3734
 
3.7%
) 3303
 
3.3%
( 3303
 
3.3%
Other values (306) 45448
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60345
60.3%
Space Separator 16840
 
16.8%
Decimal Number 15232
 
15.2%
Close Punctuation 3303
 
3.3%
Open Punctuation 3303
 
3.3%
Dash Punctuation 702
 
0.7%
Other Punctuation 225
 
0.2%
Uppercase Letter 43
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7421
 
12.3%
4466
 
7.4%
3905
 
6.5%
3890
 
6.4%
3890
 
6.4%
3794
 
6.3%
3734
 
6.2%
2979
 
4.9%
2572
 
4.3%
2257
 
3.7%
Other values (280) 21437
35.5%
Decimal Number
ValueCountFrequency (%)
1 2881
18.9%
3 2480
16.3%
2 2073
13.6%
4 1317
8.6%
5 1317
8.6%
6 1218
8.0%
7 1170
7.7%
9 998
 
6.6%
8 899
 
5.9%
0 879
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 12
27.9%
A 10
23.3%
K 5
11.6%
L 5
11.6%
S 3
 
7.0%
C 2
 
4.7%
T 2
 
4.7%
M 2
 
4.7%
E 1
 
2.3%
G 1
 
2.3%
Space Separator
ValueCountFrequency (%)
16840
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3303
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3303
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 702
100.0%
Other Punctuation
ValueCountFrequency (%)
, 225
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60346
60.3%
Common 39605
39.6%
Latin 43
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7421
 
12.3%
4466
 
7.4%
3905
 
6.5%
3890
 
6.4%
3890
 
6.4%
3794
 
6.3%
3734
 
6.2%
2979
 
4.9%
2572
 
4.3%
2257
 
3.7%
Other values (281) 21438
35.5%
Common
ValueCountFrequency (%)
16840
42.5%
) 3303
 
8.3%
( 3303
 
8.3%
1 2881
 
7.3%
3 2480
 
6.3%
2 2073
 
5.2%
4 1317
 
3.3%
5 1317
 
3.3%
6 1218
 
3.1%
7 1170
 
3.0%
Other values (5) 3703
 
9.3%
Latin
ValueCountFrequency (%)
B 12
27.9%
A 10
23.3%
K 5
11.6%
L 5
11.6%
S 3
 
7.0%
C 2
 
4.7%
T 2
 
4.7%
M 2
 
4.7%
E 1
 
2.3%
G 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60345
60.3%
ASCII 39648
39.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16840
42.5%
) 3303
 
8.3%
( 3303
 
8.3%
1 2881
 
7.3%
3 2480
 
6.3%
2 2073
 
5.2%
4 1317
 
3.3%
5 1317
 
3.3%
6 1218
 
3.1%
7 1170
 
3.0%
Other values (15) 3746
 
9.4%
Hangul
ValueCountFrequency (%)
7421
 
12.3%
4466
 
7.4%
3905
 
6.5%
3890
 
6.4%
3890
 
6.4%
3794
 
6.3%
3734
 
6.2%
2979
 
4.9%
2572
 
4.3%
2257
 
3.7%
Other values (280) 21437
35.5%
None
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct368
Distinct (%)19.1%
Missing3160
Missing (%)62.1%
Infinite0
Infinite (%)0.0%
Mean407127.57
Minimum41005
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:12.327580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41498
Q142701
median702814
Q3704801
95-th percentile711855
Maximum711892
Range670887
Interquartile range (IQR)662100

Descriptive statistics

Standard deviation329917.92
Coefficient of variation (CV)0.81035513
Kurtosis-1.9609002
Mean407127.57
Median Absolute Deviation (MAD)9041
Skewness-0.20227711
Sum7.8494196 × 108
Variance1.0884583 × 1011
MonotonicityNot monotonic
2024-04-21T12:24:12.576117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704900 88
 
1.7%
704801 77
 
1.5%
702815 67
 
1.3%
704833 46
 
0.9%
711855 45
 
0.9%
702872 44
 
0.9%
704190 42
 
0.8%
702814 40
 
0.8%
43011 36
 
0.7%
703830 35
 
0.7%
Other values (358) 1408
27.7%
(Missing) 3160
62.1%
ValueCountFrequency (%)
41005 1
 
< 0.1%
41007 1
 
< 0.1%
41052 3
 
0.1%
41059 1
 
< 0.1%
41060 1
 
< 0.1%
41061 1
 
< 0.1%
41074 1
 
< 0.1%
41078 12
0.2%
41079 5
0.1%
41081 5
0.1%
ValueCountFrequency (%)
711892 9
0.2%
711891 18
0.4%
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 15
0.3%
Distinct4318
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
2024-04-21T12:24:13.444670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.1371855
Min length2

Characters and Unicode

Total characters36314
Distinct characters594
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

Unique3714 ?
Unique (%)73.0%

Sample

1st row대구광역시 중구청
2nd row신일모터스
3rd row경북대학교치과병원
4th row(주)케이티에스테이트
5th row교보생명보험(주) 동성로사옥
ValueCountFrequency (%)
주식회사 70
 
1.3%
대구공장 28
 
0.5%
제2공장 23
 
0.4%
2공장 17
 
0.3%
입주자대표회의 13
 
0.2%
성서공장 10
 
0.2%
대구지점 9
 
0.2%
8
 
0.1%
비산공장 7
 
0.1%
태성산업 7
 
0.1%
Other values (4433) 5362
96.5%
2024-04-21T12:24:14.498588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2210
 
6.1%
) 2180
 
6.0%
2089
 
5.8%
1248
 
3.4%
1004
 
2.8%
967
 
2.7%
914
 
2.5%
781
 
2.2%
660
 
1.8%
614
 
1.7%
Other values (584) 23647
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30264
83.3%
Open Punctuation 2211
 
6.1%
Close Punctuation 2181
 
6.0%
Space Separator 466
 
1.3%
Uppercase Letter 433
 
1.2%
Other Punctuation 307
 
0.8%
Other Symbol 237
 
0.7%
Decimal Number 191
 
0.5%
Lowercase Letter 17
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2089
 
6.9%
1248
 
4.1%
1004
 
3.3%
967
 
3.2%
914
 
3.0%
781
 
2.6%
660
 
2.2%
614
 
2.0%
602
 
2.0%
551
 
1.8%
Other values (525) 20834
68.8%
Uppercase Letter
ValueCountFrequency (%)
S 48
 
11.1%
C 41
 
9.5%
T 36
 
8.3%
E 34
 
7.9%
K 29
 
6.7%
P 26
 
6.0%
M 22
 
5.1%
D 21
 
4.8%
O 20
 
4.6%
G 19
 
4.4%
Other values (15) 137
31.6%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
h 2
 
11.8%
c 2
 
11.8%
o 1
 
5.9%
t 1
 
5.9%
a 1
 
5.9%
n 1
 
5.9%
g 1
 
5.9%
m 1
 
5.9%
r 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 90
47.1%
1 60
31.4%
3 21
 
11.0%
5 6
 
3.1%
8 5
 
2.6%
6 4
 
2.1%
4 2
 
1.0%
7 2
 
1.0%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 151
49.2%
, 119
38.8%
& 22
 
7.2%
/ 10
 
3.3%
* 3
 
1.0%
2
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 2210
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2180
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
466
100.0%
Other Symbol
ValueCountFrequency (%)
237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30501
84.0%
Common 5363
 
14.8%
Latin 450
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2089
 
6.8%
1248
 
4.1%
1004
 
3.3%
967
 
3.2%
914
 
3.0%
781
 
2.6%
660
 
2.2%
614
 
2.0%
602
 
2.0%
551
 
1.8%
Other values (526) 21071
69.1%
Latin
ValueCountFrequency (%)
S 48
 
10.7%
C 41
 
9.1%
T 36
 
8.0%
E 34
 
7.6%
K 29
 
6.4%
P 26
 
5.8%
M 22
 
4.9%
D 21
 
4.7%
O 20
 
4.4%
G 19
 
4.2%
Other values (26) 154
34.2%
Common
ValueCountFrequency (%)
( 2210
41.2%
) 2180
40.6%
466
 
8.7%
. 151
 
2.8%
, 119
 
2.2%
2 90
 
1.7%
1 60
 
1.1%
& 22
 
0.4%
3 21
 
0.4%
/ 10
 
0.2%
Other values (12) 34
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30264
83.3%
ASCII 5811
 
16.0%
None 239
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2210
38.0%
) 2180
37.5%
466
 
8.0%
. 151
 
2.6%
, 119
 
2.0%
2 90
 
1.5%
1 60
 
1.0%
S 48
 
0.8%
C 41
 
0.7%
T 36
 
0.6%
Other values (47) 410
 
7.1%
Hangul
ValueCountFrequency (%)
2089
 
6.9%
1248
 
4.1%
1004
 
3.3%
967
 
3.2%
914
 
3.0%
781
 
2.6%
660
 
2.2%
614
 
2.0%
602
 
2.0%
551
 
1.8%
Other values (525) 20834
68.8%
None
ValueCountFrequency (%)
237
99.2%
2
 
0.8%

최종수정시점
Real number (ℝ)

Distinct5087
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0142562 × 1013
Minimum2.0010104 × 1013
Maximum2.0221031 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:14.844812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010104 × 1013
5-th percentile2.0040104 × 1013
Q12.0081119 × 1013
median2.0160104 × 1013
Q32.0210125 × 1013
95-th percentile2.0220802 × 1013
Maximum2.0221031 × 1013
Range2.1092699 × 1011
Interquartile range (IQR)1.2900607 × 1011

Descriptive statistics

Standard deviation6.4380906 × 1010
Coefficient of variation (CV)0.0031962621
Kurtosis-1.2856347
Mean2.0142562 × 1013
Median Absolute Deviation (MAD)5.0617999 × 1010
Skewness-0.32448658
Sum1.0248535 × 1017
Variance4.1449011 × 1021
MonotonicityNot monotonic
2024-04-21T12:24:15.095701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20220411094722 1
 
< 0.1%
20060316113852 1
 
< 0.1%
20081006115706 1
 
< 0.1%
20081006134125 1
 
< 0.1%
20071213174017 1
 
< 0.1%
20060510183013 1
 
< 0.1%
20081008102504 1
 
< 0.1%
20050803143220 1
 
< 0.1%
20040625162823 1
 
< 0.1%
Other values (5077) 5077
99.8%
ValueCountFrequency (%)
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%
20010605194306 1
< 0.1%
ValueCountFrequency (%)
20221031104621 1
< 0.1%
20221031084847 1
< 0.1%
20221030144415 1
< 0.1%
20221030144333 1
< 0.1%
20221030144241 1
< 0.1%
20221030144148 1
< 0.1%
20221030143848 1
< 0.1%
20221030143807 1
< 0.1%
20221030143725 1
< 0.1%
20221030143633 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
I
3256 
U
1832 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3256
64.0%
U 1832
36.0%

Length

2024-04-21T12:24:15.311622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:24:15.474537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3256
64.0%
u 1832
36.0%
Distinct793
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
Minimum2018-09-04 23:59:59
Maximum2022-11-02 02:40:00
2024-04-21T12:24:15.658295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:24:16.013711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct446
Distinct (%)13.1%
Missing1682
Missing (%)33.1%
Memory size39.9 KiB
2024-04-21T12:24:16.868452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.027305
Min length2

Characters and Unicode

Total characters37559
Distinct characters299
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

Unique201 ?
Unique (%)5.9%

Sample

1st row부동산 임대업
2nd row치과 병원
3rd row비거주용 건물 건설업
4th row금융업
5th row금융업
ValueCountFrequency (%)
제조업 1635
 
15.8%
기타 1102
 
10.7%
905
 
8.8%
조립금속제품 375
 
3.6%
자동차 360
 
3.5%
가공업 311
 
3.0%
염색 301
 
2.9%
수리업 291
 
2.8%
도금업 275
 
2.7%
섬유 275
 
2.7%
Other values (598) 4512
43.6%
2024-04-21T12:24:18.181846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6940
18.5%
3454
 
9.2%
2897
 
7.7%
2189
 
5.8%
1507
 
4.0%
1264
 
3.4%
1177
 
3.1%
1125
 
3.0%
974
 
2.6%
846
 
2.3%
Other values (289) 15186
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30444
81.1%
Space Separator 6940
 
18.5%
Other Punctuation 151
 
0.4%
Decimal Number 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3454
 
11.3%
2897
 
9.5%
2189
 
7.2%
1507
 
5.0%
1264
 
4.2%
1177
 
3.9%
1125
 
3.7%
974
 
3.2%
846
 
2.8%
802
 
2.6%
Other values (284) 14209
46.7%
Other Punctuation
ValueCountFrequency (%)
, 139
92.1%
· 7
 
4.6%
; 5
 
3.3%
Space Separator
ValueCountFrequency (%)
6940
100.0%
Decimal Number
ValueCountFrequency (%)
1 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30444
81.1%
Common 7115
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3454
 
11.3%
2897
 
9.5%
2189
 
7.2%
1507
 
5.0%
1264
 
4.2%
1177
 
3.9%
1125
 
3.7%
974
 
3.2%
846
 
2.8%
802
 
2.6%
Other values (284) 14209
46.7%
Common
ValueCountFrequency (%)
6940
97.5%
, 139
 
2.0%
1 24
 
0.3%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30444
81.1%
ASCII 7108
 
18.9%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6940
97.6%
, 139
 
2.0%
1 24
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
3454
 
11.3%
2897
 
9.5%
2189
 
7.2%
1507
 
5.0%
1264
 
4.2%
1177
 
3.9%
1125
 
3.7%
974
 
3.2%
846
 
2.8%
802
 
2.6%
Other values (284) 14209
46.7%
None
ValueCountFrequency (%)
· 7
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3034
Distinct (%)75.8%
Missing1087
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean338463.55
Minimum324827.06
Maximum357474.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:18.413842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328383.33
Q1335270.03
median338906.53
Q3341510.98
95-th percentile347202.25
Maximum357474.36
Range32647.303
Interquartile range (IQR)6240.9526

Descriptive statistics

Standard deviation5686.5606
Coefficient of variation (CV)0.016801102
Kurtosis1.1142718
Mean338463.55
Median Absolute Deviation (MAD)3227.0543
Skewness0.42367346
Sum1.3541927 × 109
Variance32336971
MonotonicityNot monotonic
2024-04-21T12:24:18.880919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336344.302039 11
 
0.2%
336366.064252 8
 
0.2%
336353.196287 8
 
0.2%
335898.647221 8
 
0.2%
341927.563233 7
 
0.1%
339163.824109 7
 
0.1%
336559.670287 7
 
0.1%
340174.370642 7
 
0.1%
338653.414866 7
 
0.1%
339267.316441 6
 
0.1%
Other values (3024) 3925
77.1%
(Missing) 1087
 
21.4%
ValueCountFrequency (%)
324827.061698 1
< 0.1%
325031.349322 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%
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 1
 
< 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 

Distinct3032
Distinct (%)75.8%
Missing1087
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean261962.29
Minimum236164.39
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:19.230402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236164.39
5-th percentile248379.62
Q1260439.18
median264085.81
Q3266884.09
95-th percentile268071.15
Maximum278091.65
Range41927.261
Interquartile range (IQR)6444.9088

Descriptive statistics

Standard deviation7039.0272
Coefficient of variation (CV)0.026870383
Kurtosis2.836849
Mean261962.29
Median Absolute Deviation (MAD)3080.1332
Skewness-1.7555729
Sum1.0481111 × 109
Variance49547903
MonotonicityNot monotonic
2024-04-21T12:24:19.485824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261497.640906 11
 
0.2%
261651.801477 8
 
0.2%
261562.315791 8
 
0.2%
258962.00812 8
 
0.2%
267406.601136 7
 
0.1%
265188.870359 7
 
0.1%
261730.820003 7
 
0.1%
267045.01616 7
 
0.1%
263466.441258 7
 
0.1%
263796.947456 6
 
0.1%
Other values (3022) 3925
77.1%
(Missing) 1087
 
21.4%
ValueCountFrequency (%)
236164.392418 1
< 0.1%
236283.746887 1
< 0.1%
237420.318841 1
< 0.1%
237677.093671 1
< 0.1%
237679.019436 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%
ValueCountFrequency (%)
278091.653532 1
< 0.1%
277507.397404 1
< 0.1%
274001.175164 1
< 0.1%
273857.356673 1
< 0.1%
273712.082489 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%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
대기배출업소관리
5088 

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 5088
100.0%

Length

2024-04-21T12:24:19.880893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:24:20.173322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 5088
100.0%

업종구분명
Text

MISSING 

Distinct446
Distinct (%)13.1%
Missing1682
Missing (%)33.1%
Memory size39.9 KiB
2024-04-21T12:24:21.058078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.027305
Min length2

Characters and Unicode

Total characters37559
Distinct characters299
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

Unique201 ?
Unique (%)5.9%

Sample

1st row부동산 임대업
2nd row치과 병원
3rd row비거주용 건물 건설업
4th row금융업
5th row금융업
ValueCountFrequency (%)
제조업 1635
 
15.8%
기타 1102
 
10.7%
905
 
8.8%
조립금속제품 375
 
3.6%
자동차 360
 
3.5%
가공업 311
 
3.0%
염색 301
 
2.9%
수리업 291
 
2.8%
도금업 275
 
2.7%
섬유 275
 
2.7%
Other values (598) 4512
43.6%
2024-04-21T12:24:22.171523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6940
18.5%
3454
 
9.2%
2897
 
7.7%
2189
 
5.8%
1507
 
4.0%
1264
 
3.4%
1177
 
3.1%
1125
 
3.0%
974
 
2.6%
846
 
2.3%
Other values (289) 15186
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30444
81.1%
Space Separator 6940
 
18.5%
Other Punctuation 151
 
0.4%
Decimal Number 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3454
 
11.3%
2897
 
9.5%
2189
 
7.2%
1507
 
5.0%
1264
 
4.2%
1177
 
3.9%
1125
 
3.7%
974
 
3.2%
846
 
2.8%
802
 
2.6%
Other values (284) 14209
46.7%
Other Punctuation
ValueCountFrequency (%)
, 139
92.1%
· 7
 
4.6%
; 5
 
3.3%
Space Separator
ValueCountFrequency (%)
6940
100.0%
Decimal Number
ValueCountFrequency (%)
1 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30444
81.1%
Common 7115
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3454
 
11.3%
2897
 
9.5%
2189
 
7.2%
1507
 
5.0%
1264
 
4.2%
1177
 
3.9%
1125
 
3.7%
974
 
3.2%
846
 
2.8%
802
 
2.6%
Other values (284) 14209
46.7%
Common
ValueCountFrequency (%)
6940
97.5%
, 139
 
2.0%
1 24
 
0.3%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30444
81.1%
ASCII 7108
 
18.9%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6940
97.6%
, 139
 
2.0%
1 24
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
3454
 
11.3%
2897
 
9.5%
2189
 
7.2%
1507
 
5.0%
1264
 
4.2%
1177
 
3.9%
1125
 
3.7%
974
 
3.2%
846
 
2.8%
802
 
2.6%
Other values (284) 14209
46.7%
None
ValueCountFrequency (%)
· 7
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
5종
2807 
4종
1634 
3종
 
221
2종
 
205
<NA>
 
175

Length

Max length4
Median length2
Mean length2.0687893
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2807
55.2%
4종 1634
32.1%
3종 221
 
4.3%
2종 205
 
4.0%
<NA> 175
 
3.4%
1종 46
 
0.9%

Length

2024-04-21T12:24:22.421648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:24:22.624575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2807
55.2%
4종 1634
32.1%
3종 221
 
4.3%
2종 205
 
4.0%
na 175
 
3.4%
1종 46
 
0.9%

주생산품명
Text

MISSING 

Distinct930
Distinct (%)61.7%
Missing3581
Missing (%)70.4%
Memory size39.9 KiB
2024-04-21T12:24:23.475775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length5.9754479
Min length1

Characters and Unicode

Total characters9005
Distinct characters465
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

Unique750 ?
Unique (%)49.8%

Sample

1st row전력,온수
2nd row자동차부품
3rd row정비차량
4th row수리된 자동차
5th row자동차용 고무제품
ValueCountFrequency (%)
자동차부품 191
 
9.8%
안경테 40
 
2.1%
자동차 40
 
2.1%
37
 
1.9%
33
 
1.7%
전자부품 26
 
1.3%
부품 25
 
1.3%
기계부품 22
 
1.1%
가공원단 21
 
1.1%
고무시트 19
 
1.0%
Other values (965) 1494
76.7%
2024-04-21T12:24:24.573598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
564
 
6.3%
459
 
5.1%
441
 
4.9%
428
 
4.8%
376
 
4.2%
364
 
4.0%
180
 
2.0%
155
 
1.7%
, 147
 
1.6%
141
 
1.6%
Other values (455) 5750
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7851
87.2%
Space Separator 441
 
4.9%
Uppercase Letter 269
 
3.0%
Other Punctuation 164
 
1.8%
Lowercase Letter 125
 
1.4%
Open Punctuation 71
 
0.8%
Close Punctuation 71
 
0.8%
Decimal Number 7
 
0.1%
Dash Punctuation 5
 
0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
564
 
7.2%
459
 
5.8%
428
 
5.5%
376
 
4.8%
364
 
4.6%
180
 
2.3%
155
 
2.0%
141
 
1.8%
131
 
1.7%
118
 
1.5%
Other values (396) 4935
62.9%
Uppercase Letter
ValueCountFrequency (%)
P 55
20.4%
E 39
14.5%
C 21
 
7.8%
L 20
 
7.4%
D 20
 
7.4%
T 16
 
5.9%
I 15
 
5.6%
O 14
 
5.2%
S 13
 
4.8%
A 10
 
3.7%
Other values (13) 46
17.1%
Lowercase Letter
ValueCountFrequency (%)
o 17
13.6%
c 11
 
8.8%
r 11
 
8.8%
f 11
 
8.8%
e 10
 
8.0%
i 9
 
7.2%
t 8
 
6.4%
a 7
 
5.6%
l 7
 
5.6%
u 6
 
4.8%
Other values (12) 28
22.4%
Decimal Number
ValueCountFrequency (%)
7 2
28.6%
2 2
28.6%
4 1
14.3%
0 1
14.3%
1 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 147
89.6%
. 12
 
7.3%
/ 4
 
2.4%
& 1
 
0.6%
Space Separator
ValueCountFrequency (%)
441
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7851
87.2%
Common 760
 
8.4%
Latin 394
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
564
 
7.2%
459
 
5.8%
428
 
5.5%
376
 
4.8%
364
 
4.6%
180
 
2.3%
155
 
2.0%
141
 
1.8%
131
 
1.7%
118
 
1.5%
Other values (396) 4935
62.9%
Latin
ValueCountFrequency (%)
P 55
 
14.0%
E 39
 
9.9%
C 21
 
5.3%
L 20
 
5.1%
D 20
 
5.1%
o 17
 
4.3%
T 16
 
4.1%
I 15
 
3.8%
O 14
 
3.6%
S 13
 
3.3%
Other values (35) 164
41.6%
Common
ValueCountFrequency (%)
441
58.0%
, 147
 
19.3%
( 71
 
9.3%
) 71
 
9.3%
. 12
 
1.6%
- 5
 
0.7%
/ 4
 
0.5%
7 2
 
0.3%
2 2
 
0.3%
1
 
0.1%
Other values (4) 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7851
87.2%
ASCII 1153
 
12.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
564
 
7.2%
459
 
5.8%
428
 
5.5%
376
 
4.8%
364
 
4.6%
180
 
2.3%
155
 
2.0%
141
 
1.8%
131
 
1.7%
118
 
1.5%
Other values (396) 4935
62.9%
ASCII
ValueCountFrequency (%)
441
38.2%
, 147
 
12.7%
( 71
 
6.2%
) 71
 
6.2%
P 55
 
4.8%
E 39
 
3.4%
C 21
 
1.8%
L 20
 
1.7%
D 20
 
1.7%
o 17
 
1.5%
Other values (48) 251
21.8%
None
ValueCountFrequency (%)
1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct37
Distinct (%)0.7%
Missing63
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean7.7261373
Minimum0
Maximum912
Zeros1525
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:24.802142image/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 deviation15.013458
Coefficient of variation (CV)1.9432036
Kurtosis2631.8901
Mean7.7261373
Median Absolute Deviation (MAD)3
Skewness44.425554
Sum38823.84
Variance225.40391
MonotonicityNot monotonic
2024-04-21T12:24:25.020646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
8.0 1986
39.0%
0.0 1525
30.0%
24.0 481
 
9.5%
10.0 298
 
5.9%
6.0 96
 
1.9%
12.0 87
 
1.7%
4.0 76
 
1.5%
5.0 67
 
1.3%
20.0 63
 
1.2%
7.0 59
 
1.2%
Other values (27) 287
 
5.6%
(Missing) 63
 
1.2%
ValueCountFrequency (%)
0.0 1525
30.0%
1.0 12
 
0.2%
1.34 1
 
< 0.1%
1.5 1
 
< 0.1%
2.0 21
 
0.4%
2.5 1
 
< 0.1%
3.0 31
 
0.6%
3.5 1
 
< 0.1%
4.0 76
 
1.5%
5.0 67
 
1.3%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
240.0 1
 
< 0.1%
120.0 1
 
< 0.1%
30.0 1
 
< 0.1%
25.0 2
 
< 0.1%
24.0 481
9.5%
23.0 1
 
< 0.1%
22.0 16
 
0.3%
21.0 9
 
0.2%
20.0 63
 
1.2%

배출시설연간가동일수
Real number (ℝ)

ZEROS 

Distinct99
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.43298
Minimum0
Maximum365
Zeros1609
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:25.252973image/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 deviation139.87468
Coefficient of variation (CV)0.69786258
Kurtosis-1.4531873
Mean200.43298
Median Absolute Deviation (MAD)0
Skewness-0.67855474
Sum1019803
Variance19564.925
MonotonicityNot monotonic
2024-04-21T12:24:25.504804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2724
53.5%
0 1609
31.6%
240 91
 
1.8%
365 68
 
1.3%
250 45
 
0.9%
312 44
 
0.9%
360 41
 
0.8%
264 40
 
0.8%
180 28
 
0.6%
330 26
 
0.5%
Other values (89) 372
 
7.3%
ValueCountFrequency (%)
0 1609
31.6%
5 1
 
< 0.1%
8 2
 
< 0.1%
24 2
 
< 0.1%
25 2
 
< 0.1%
30 3
 
0.1%
51 1
 
< 0.1%
60 2
 
< 0.1%
84 1
 
< 0.1%
88 1
 
< 0.1%
ValueCountFrequency (%)
365 68
1.3%
362 1
 
< 0.1%
361 2
 
< 0.1%
360 41
0.8%
358 1
 
< 0.1%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 14
 
0.3%
341 3
 
0.1%
340 20
 
0.4%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)0.7%
Missing452
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean7.334629
Minimum0
Maximum300
Zeros1552
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:25.740949image/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 deviation10.640643
Coefficient of variation (CV)1.4507404
Kurtosis368.68452
Mean7.334629
Median Absolute Deviation (MAD)3
Skewness14.687089
Sum34003.34
Variance113.22328
MonotonicityNot monotonic
2024-04-21T12:24:25.964794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
8.0 1800
35.4%
0.0 1552
30.5%
24.0 409
 
8.0%
10.0 248
 
4.9%
6.0 84
 
1.7%
12.0 71
 
1.4%
4.0 64
 
1.3%
5.0 62
 
1.2%
7.0 57
 
1.1%
20.0 53
 
1.0%
Other values (24) 236
 
4.6%
(Missing) 452
 
8.9%
ValueCountFrequency (%)
0.0 1552
30.5%
1.0 10
 
0.2%
1.34 1
 
< 0.1%
2.0 16
 
0.3%
2.5 1
 
< 0.1%
3.0 20
 
0.4%
4.0 64
 
1.3%
5.0 62
 
1.2%
6.0 84
 
1.7%
7.0 57
 
1.1%
ValueCountFrequency (%)
300.0 2
 
< 0.1%
264.0 1
 
< 0.1%
240.0 1
 
< 0.1%
100.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 3
 
0.1%
24.0 409
8.0%
22.0 12
 
0.2%
21.0 9
 
0.2%
20.0 53
 
1.0%

방지시설연간가동일수
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.38719
Minimum0
Maximum365
Zeros1974
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:26.211171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile302
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation146.00875
Coefficient of variation (CV)0.80941864
Kurtosis-1.7919155
Mean180.38719
Median Absolute Deviation (MAD)12
Skewness-0.38922875
Sum917810
Variance21318.555
MonotonicityNot monotonic
2024-04-21T12:24:26.480986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2489
48.9%
0 1974
38.8%
240 80
 
1.6%
365 50
 
1.0%
312 43
 
0.8%
250 42
 
0.8%
360 34
 
0.7%
264 30
 
0.6%
330 26
 
0.5%
280 23
 
0.5%
Other values (76) 297
 
5.8%
ValueCountFrequency (%)
0 1974
38.8%
8 1
 
< 0.1%
24 2
 
< 0.1%
25 2
 
< 0.1%
30 2
 
< 0.1%
51 1
 
< 0.1%
60 2
 
< 0.1%
84 1
 
< 0.1%
90 1
 
< 0.1%
96 1
 
< 0.1%
ValueCountFrequency (%)
365 50
1.0%
362 1
 
< 0.1%
361 1
 
< 0.1%
360 34
0.7%
358 1
 
< 0.1%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 14
 
0.3%
341 3
 
0.1%
340 18
 
0.4%

사업자등록번호
Real number (ℝ)

MISSING 

Distinct3361
Distinct (%)85.7%
Missing1164
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean4.9775832 × 109
Minimum1.6522768 × 108
Maximum8.9915009 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-04-21T12:24:26.741489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6522768 × 108
5-th percentile2.7803559 × 109
Q15.0321134 × 109
median5.0406756 × 109
Q35.1413516 × 109
95-th percentile6.0770521 × 109
Maximum8.9915009 × 109
Range8.8262732 × 109
Interquartile range (IQR)1.0923817 × 108

Descriptive statistics

Standard deviation9.8414981 × 108
Coefficient of variation (CV)0.1977164
Kurtosis7.7265361
Mean4.9775832 × 109
Median Absolute Deviation (MAD)9298260
Skewness-0.88985447
Sum1.9532036 × 1013
Variance9.6855084 × 1017
MonotonicityNot monotonic
2024-04-21T12:24:26.989947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2208160348 10
 
0.2%
1268174308 5
 
0.1%
5034288408 4
 
0.1%
5038199597 4
 
0.1%
1028142945 4
 
0.1%
5148157898 4
 
0.1%
5031999945 4
 
0.1%
5048136289 4
 
0.1%
2068650913 4
 
0.1%
5148516634 4
 
0.1%
Other values (3351) 3877
76.2%
(Missing) 1164
 
22.9%
ValueCountFrequency (%)
165227682 1
 
< 0.1%
530879680 1
 
< 0.1%
1018109147 1
 
< 0.1%
1018143409 1
 
< 0.1%
1028111097 1
 
< 0.1%
1028142945 4
0.1%
1048137225 1
 
< 0.1%
1048612291 1
 
< 0.1%
1048621617 1
 
< 0.1%
1068104152 2
< 0.1%
ValueCountFrequency (%)
8991500914 1
< 0.1%
8978100704 1
< 0.1%
8931201739 1
< 0.1%
8920901982 1
< 0.1%
8908600751 1
< 0.1%
8878101521 1
< 0.1%
8858601156 1
< 0.1%
8833900934 1
< 0.1%
8833001100 1
< 0.1%
8818500842 1
< 0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수사업자등록번호
01대기오염물질배출시설설치사업장09_30_08_P341000034100002120220000220220411<NA>1영업/정상11영업<NA><NA><NA><NA>053-661-2000<NA><NA>대구광역시 중구 동인동2가 177-4 중구청대구광역시 중구 국채보상로139길 1, 중구청 (동인동2가)41908대구광역시 중구청20220411094722I2022-04-13 00:22:33.0부동산 임대업344977.845663264442.068379대기배출업소관리부동산 임대업5종<NA>7.01477.01475018300020
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23대기오염물질배출시설설치사업장09_30_08_P341000034100002120210000420211117<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동2가 188-1 경북대학교치과병원대구광역시 중구 달구벌대로 2175, 경북대학교치과병원 (삼덕동2가)41940경북대학교치과병원20221018163704U2022-10-20 02:40:00.0치과 병원344597.99926263844.348739대기배출업소관리치과 병원5종<NA>120.01204.01202628200093
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