Overview

Dataset statistics

Number of variables36
Number of observations4289
Missing cells40333
Missing cells (%)26.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory308.0 B

Variable types

Numeric13
Categorical9
Unsupported5
Text8
DateTime1

Dataset

Description6270000_대구광역시_09_30_08_P_대기오염물질배출시설설치사업장_1월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000088253&dataSetDetailId=DDI_0000088289&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
환경업무구분명 has constant value ""Constant
인허가일자 has 140 (3.3%) missing valuesMissing
인허가취소일자 has 4289 (100.0%) missing valuesMissing
폐업일자 has 2462 (57.4%) missing valuesMissing
휴업시작일자 has 4289 (100.0%) missing valuesMissing
휴업종료일자 has 4289 (100.0%) missing valuesMissing
재개업일자 has 4289 (100.0%) missing valuesMissing
소재지전화 has 672 (15.7%) missing valuesMissing
소재지면적 has 4289 (100.0%) missing valuesMissing
소재지우편번호 has 3356 (78.2%) missing valuesMissing
소재지전체주소 has 120 (2.8%) missing valuesMissing
도로명전체주소 has 1052 (24.5%) missing valuesMissing
도로명우편번호 has 2587 (60.3%) missing valuesMissing
업태구분명 has 1376 (32.1%) missing valuesMissing
좌표정보(X) has 941 (21.9%) missing valuesMissing
좌표정보(Y) has 941 (21.9%) missing valuesMissing
업종구분명 has 1376 (32.1%) missing valuesMissing
주생산품명 has 2885 (67.3%) missing valuesMissing
배출시설조업시간 has 59 (1.4%) missing valuesMissing
배출시설연간가동일수 has 64 (1.5%) missing valuesMissing
방지시설조업시간 has 447 (10.4%) missing valuesMissing
방지시설연간가동일수 has 410 (9.6%) missing valuesMissing
배출시설조업시간 is highly skewed (γ1 = 45.24436021)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 1374 (32.0%) zerosZeros
배출시설연간가동일수 has 1388 (32.4%) zerosZeros
방지시설조업시간 has 1372 (32.0%) zerosZeros
방지시설연간가동일수 has 1379 (32.2%) zerosZeros

Reproduction

Analysis started2024-04-20 21:07:32.982347
Analysis finished2024-04-20 21:07:35.359363
Duration2.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4289
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2145
Minimum1
Maximum4289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.8 KiB
2024-04-21T06:07:35.490121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile215.4
Q11073
median2145
Q33217
95-th percentile4074.6
Maximum4289
Range4288
Interquartile range (IQR)2144

Descriptive statistics

Standard deviation1238.272
Coefficient of variation (CV)0.57728298
Kurtosis-1.2
Mean2145
Median Absolute Deviation (MAD)1072
Skewness0
Sum9199905
Variance1533317.5
MonotonicityStrictly increasing
2024-04-21T06:07:35.727718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2866 1
 
< 0.1%
2852 1
 
< 0.1%
2853 1
 
< 0.1%
2854 1
 
< 0.1%
2855 1
 
< 0.1%
2856 1
 
< 0.1%
2857 1
 
< 0.1%
2858 1
 
< 0.1%
2859 1
 
< 0.1%
Other values (4279) 4279
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 (%)
4289 1
< 0.1%
4288 1
< 0.1%
4287 1
< 0.1%
4286 1
< 0.1%
4285 1
< 0.1%
4284 1
< 0.1%
4283 1
< 0.1%
4282 1
< 0.1%
4281 1
< 0.1%
4280 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
대기오염물질배출시설설치사업장
4289 

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 4289
100.0%

Length

2024-04-21T06:07:35.943673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:07:36.107454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 4289
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
09_30_08_P
4289 

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 4289
100.0%

Length

2024-04-21T06:07:36.298712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:07:36.480809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 4289
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3456395.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.8 KiB
2024-04-21T06:07:36.632441image/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 deviation20442.136
Coefficient of variation (CV)0.0059142931
Kurtosis-1.3018817
Mean3456395.4
Median Absolute Deviation (MAD)10000
Skewness-0.50355104
Sum1.482448 × 1010
Variance4.1788091 × 108
MonotonicityIncreasing
2024-04-21T06:07:36.829245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1684
39.3%
3430000 1089
25.4%
3480000 707
16.5%
3450000 483
 
11.3%
3420000 169
 
3.9%
3460000 102
 
2.4%
3410000 36
 
0.8%
3440000 19
 
0.4%
ValueCountFrequency (%)
3410000 36
 
0.8%
3420000 169
 
3.9%
3430000 1089
25.4%
3440000 19
 
0.4%
3450000 483
 
11.3%
3460000 102
 
2.4%
3470000 1684
39.3%
3480000 707
16.5%
ValueCountFrequency (%)
3480000 707
16.5%
3470000 1684
39.3%
3460000 102
 
2.4%
3450000 483
 
11.3%
3440000 19
 
0.4%
3430000 1089
25.4%
3420000 169
 
3.9%
3410000 36
 
0.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct4289
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4563956 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.8 KiB
2024-04-21T06:07:37.242377image/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 deviation2.0442136 × 1015
Coefficient of variation (CV)0.0059142928
Kurtosis-1.3018817
Mean3.4563956 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.50355104
Sum6.708565 × 1018
Variance4.1788091 × 1030
MonotonicityNot monotonic
2024-04-21T06:07:37.589648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021202000001 1
 
< 0.1%
347000021200000012 1
 
< 0.1%
347000021199200012 1
 
< 0.1%
347000021199200015 1
 
< 0.1%
347000021199200016 1
 
< 0.1%
347000021199200017 1
 
< 0.1%
347000021199200019 1
 
< 0.1%
347000021199200022 1
 
< 0.1%
347000021201400029 1
 
< 0.1%
347000021201400034 1
 
< 0.1%
Other values (4279) 4279
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 (%)
348000021202100004 1
< 0.1%
348000021202100003 1
< 0.1%
348000021202100002 1
< 0.1%
348000021202100001 1
< 0.1%
348000021202000027 1
< 0.1%
348000021202000026 1
< 0.1%
348000021202000025 1
< 0.1%
348000021202000024 1
< 0.1%
348000021202000023 1
< 0.1%
348000021202000022 1
< 0.1%

인허가일자
Real number (ℝ)

MISSING 

Distinct2661
Distinct (%)64.1%
Missing140
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean20034498
Minimum19010101
Maximum20210127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.8 KiB
2024-04-21T06:07:37.904272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19870326
Q119991229
median20040702
Q320120831
95-th percentile20180921
Maximum20210127
Range1200026
Interquartile range (IQR)129602

Descriptive statistics

Standard deviation147827.28
Coefficient of variation (CV)0.0073786367
Kurtosis26.518813
Mean20034498
Median Absolute Deviation (MAD)70426
Skewness-4.208088
Sum8.3123133 × 1010
Variance2.1852906 × 1010
MonotonicityNot monotonic
2024-04-21T06:07:38.208847image/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
 
0.8%
20040628 25
 
0.6%
20040630 24
 
0.6%
20120322 23
 
0.5%
19840210 18
 
0.4%
19940427 16
 
0.4%
20040603 13
 
0.3%
Other values (2651) 3818
89.0%
(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 (%)
20210127 1
 
< 0.1%
20210122 1
 
< 0.1%
20210121 2
< 0.1%
20210113 1
 
< 0.1%
20210111 1
 
< 0.1%
20210104 2
< 0.1%
20201231 2
< 0.1%
20201230 1
 
< 0.1%
20201229 3
0.1%
20201228 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4289
Missing (%)100.0%
Memory size37.8 KiB
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
3
1938 
1
1912 
4
437 
2
 
2

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 1938
45.2%
1 1912
44.6%
4 437
 
10.2%
2 2
 
< 0.1%

Length

2024-04-21T06:07:38.440029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:07:38.622383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1938
45.2%
1 1912
44.6%
4 437
 
10.2%
2 2
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
폐업
1938 
영업/정상
1912 
취소/말소/만료/정지/중지
437 
휴업
 
2

Length

Max length14
Median length5
Mean length4.5600373
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 1938
45.2%
영업/정상 1912
44.6%
취소/말소/만료/정지/중지 437
 
10.2%
휴업 2
 
< 0.1%

Length

2024-04-21T06:07:38.823902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:07:39.017652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1938
45.2%
영업/정상 1912
44.6%
취소/말소/만료/정지/중지 437
 
10.2%
휴업 2
 
< 0.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
2
1938 
11
1912 
4
437 
1
 
2

Length

Max length2
Median length1
Mean length1.4457916
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1938
45.2%
11 1912
44.6%
4 437
 
10.2%
1 2
 
< 0.1%

Length

2024-04-21T06:07:39.217997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:07:39.407022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1938
45.2%
11 1912
44.6%
4 437
 
10.2%
1 2
 
< 0.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
폐업
1938 
영업
1912 
폐쇄
437 
휴업
 
2

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 1938
45.2%
영업 1912
44.6%
폐쇄 437
 
10.2%
휴업 2
 
< 0.1%

Length

2024-04-21T06:07:39.595830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:07:39.777775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1938
45.2%
영업 1912
44.6%
폐쇄 437
 
10.2%
휴업 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1145
Distinct (%)62.7%
Missing2462
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean20096457
Minimum19930721
Maximum20210125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.8 KiB
2024-04-21T06:07:39.990237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930721
5-th percentile20030611
Q120050611
median20081103
Q320140514
95-th percentile20200280
Maximum20210125
Range279404
Interquartile range (IQR)89903

Descriptive statistics

Standard deviation54668.341
Coefficient of variation (CV)0.0027202974
Kurtosis-0.83589747
Mean20096457
Median Absolute Deviation (MAD)39992
Skewness0.54838285
Sum3.6716228 × 1010
Variance2.9886275 × 109
MonotonicityNot monotonic
2024-04-21T06:07:40.235518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081118 69
 
1.6%
20081008 52
 
1.2%
20081006 38
 
0.9%
20040701 38
 
0.9%
20040907 21
 
0.5%
20091221 17
 
0.4%
20091218 11
 
0.3%
20091216 11
 
0.3%
20201208 11
 
0.3%
20040601 10
 
0.2%
Other values (1135) 1549
36.1%
(Missing) 2462
57.4%
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 (%)
20210125 2
< 0.1%
20210121 3
0.1%
20210108 1
 
< 0.1%
20210106 1
 
< 0.1%
20210104 1
 
< 0.1%
20201231 3
0.1%
20201230 2
< 0.1%
20201224 1
 
< 0.1%
20201221 1
 
< 0.1%
20201215 2
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4289
Missing (%)100.0%
Memory size37.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4289
Missing (%)100.0%
Memory size37.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4289
Missing (%)100.0%
Memory size37.8 KiB

소재지전화
Text

MISSING 

Distinct3372
Distinct (%)93.2%
Missing672
Missing (%)15.7%
Memory size33.6 KiB
2024-04-21T06:07:41.184435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.9148466
Min length3

Characters and Unicode

Total characters35862
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

Unique3153 ?
Unique (%)87.2%

Sample

1st row0534310803
2nd row593-3198
3rd row053-250-5555
4th row053-251-6019
5th row0534288984
ValueCountFrequency (%)
053 513
 
9.8%
581 121
 
2.3%
582 78
 
1.5%
583 67
 
1.3%
354 36
 
0.7%
356 27
 
0.5%
562 25
 
0.5%
584 23
 
0.4%
567 23
 
0.4%
053615 23
 
0.4%
Other values (3337) 4281
82.1%
2024-04-21T06:07:42.595652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7385
20.6%
3 5413
15.1%
0 5260
14.7%
1 3227
9.0%
8 2639
 
7.4%
6 2531
 
7.1%
2 2164
 
6.0%
7 1757
 
4.9%
4 1656
 
4.6%
1612
 
4.5%
Other values (4) 2218
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33501
93.4%
Space Separator 1612
 
4.5%
Dash Punctuation 747
 
2.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7385
22.0%
3 5413
16.2%
0 5260
15.7%
1 3227
9.6%
8 2639
 
7.9%
6 2531
 
7.6%
2 2164
 
6.5%
7 1757
 
5.2%
4 1656
 
4.9%
9 1469
 
4.4%
Space Separator
ValueCountFrequency (%)
1612
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 747
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35862
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7385
20.6%
3 5413
15.1%
0 5260
14.7%
1 3227
9.0%
8 2639
 
7.4%
6 2531
 
7.1%
2 2164
 
6.0%
7 1757
 
4.9%
4 1656
 
4.6%
1612
 
4.5%
Other values (4) 2218
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7385
20.6%
3 5413
15.1%
0 5260
14.7%
1 3227
9.0%
8 2639
 
7.4%
6 2531
 
7.1%
2 2164
 
6.0%
7 1757
 
4.9%
4 1656
 
4.6%
1612
 
4.5%
Other values (4) 2218
 
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4289
Missing (%)100.0%
Memory size37.8 KiB

소재지우편번호
Text

MISSING 

Distinct117
Distinct (%)12.5%
Missing3356
Missing (%)78.2%
Memory size33.6 KiB
2024-04-21T06:07:43.505970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters5598
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)4.9%

Sample

1st row700761
2nd row701040
3rd row701300
4th row701230
5th row701260
ValueCountFrequency (%)
704190 63
 
6.8%
703830 58
 
6.2%
704900 55
 
5.9%
704330 39
 
4.2%
711855 38
 
4.1%
704801 37
 
4.0%
704400 36
 
3.9%
704170 35
 
3.8%
703833 34
 
3.6%
704070 32
 
3.4%
Other values (107) 506
54.2%
2024-04-21T06:07:44.786201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1663
29.7%
7 1015
18.1%
4 671
12.0%
3 565
 
10.1%
1 516
 
9.2%
8 360
 
6.4%
9 233
 
4.2%
2 220
 
3.9%
5 148
 
2.6%
80
 
1.4%
Other values (4) 127
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5462
97.6%
Space Separator 80
 
1.4%
Lowercase Letter 56
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1663
30.4%
7 1015
18.6%
4 671
12.3%
3 565
 
10.3%
1 516
 
9.4%
8 360
 
6.6%
9 233
 
4.3%
2 220
 
4.0%
5 148
 
2.7%
6 71
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
l 28
50.0%
n 14
25.0%
u 14
25.0%
Space Separator
ValueCountFrequency (%)
80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5542
99.0%
Latin 56
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1663
30.0%
7 1015
18.3%
4 671
12.1%
3 565
 
10.2%
1 516
 
9.3%
8 360
 
6.5%
9 233
 
4.2%
2 220
 
4.0%
5 148
 
2.7%
80
 
1.4%
Latin
ValueCountFrequency (%)
l 28
50.0%
n 14
25.0%
u 14
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5598
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1663
29.7%
7 1015
18.1%
4 671
12.0%
3 565
 
10.1%
1 516
 
9.2%
8 360
 
6.4%
9 233
 
4.2%
2 220
 
3.9%
5 148
 
2.6%
80
 
1.4%
Other values (4) 127
 
2.3%

소재지전체주소
Text

MISSING 

Distinct3259
Distinct (%)78.2%
Missing120
Missing (%)2.8%
Memory size33.6 KiB
2024-04-21T06:07:46.143716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length22.415447
Min length13

Characters and Unicode

Total characters93450
Distinct characters245
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

Unique2643 ?
Unique (%)63.4%

Sample

1st row대구광역시 중구 동인동2가 74-15
2nd row대구광역시 중구 수창동 47-1번지
3rd row대구광역시 중구 덕산동 110
4th row대구광역시 중구 남일동 138-3 국민은행대구지점
5th row대구광역시 중구 대봉동 111-1번지
ValueCountFrequency (%)
대구광역시 4169
23.5%
달서구 1475
 
8.3%
서구 1071
 
6.0%
달성군 862
 
4.9%
북구 479
 
2.7%
이현동 382
 
2.1%
갈산동 369
 
2.1%
비산동 362
 
2.0%
논공읍 340
 
1.9%
중리동 275
 
1.5%
Other values (3383) 7986
44.9%
2024-04-21T06:07:47.937433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17785
19.0%
7646
 
8.2%
4461
 
4.8%
4178
 
4.5%
4172
 
4.5%
4172
 
4.5%
3588
 
3.8%
1 3588
 
3.8%
3557
 
3.8%
3335
 
3.6%
Other values (235) 36968
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53842
57.6%
Decimal Number 18174
 
19.4%
Space Separator 17785
 
19.0%
Dash Punctuation 3206
 
3.4%
Uppercase Letter 160
 
0.2%
Close Punctuation 126
 
0.1%
Open Punctuation 109
 
0.1%
Other Punctuation 43
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7646
14.2%
4461
 
8.3%
4178
 
7.8%
4172
 
7.7%
4172
 
7.7%
3588
 
6.7%
3557
 
6.6%
3335
 
6.2%
2586
 
4.8%
2340
 
4.3%
Other values (211) 13807
25.6%
Decimal Number
ValueCountFrequency (%)
1 3588
19.7%
2 2442
13.4%
0 2074
11.4%
3 2064
11.4%
4 1655
9.1%
5 1371
 
7.5%
6 1330
 
7.3%
9 1290
 
7.1%
7 1262
 
6.9%
8 1098
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 82
51.2%
L 69
43.1%
A 4
 
2.5%
K 2
 
1.2%
T 1
 
0.6%
S 1
 
0.6%
C 1
 
0.6%
Space Separator
ValueCountFrequency (%)
17785
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3206
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53843
57.6%
Common 39443
42.2%
Latin 164
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7646
14.2%
4461
 
8.3%
4178
 
7.8%
4172
 
7.7%
4172
 
7.7%
3588
 
6.7%
3557
 
6.6%
3335
 
6.2%
2586
 
4.8%
2340
 
4.3%
Other values (212) 13808
25.6%
Common
ValueCountFrequency (%)
17785
45.1%
1 3588
 
9.1%
- 3206
 
8.1%
2 2442
 
6.2%
0 2074
 
5.3%
3 2064
 
5.2%
4 1655
 
4.2%
5 1371
 
3.5%
6 1330
 
3.4%
9 1290
 
3.3%
Other values (5) 2638
 
6.7%
Latin
ValueCountFrequency (%)
B 82
50.0%
L 69
42.1%
b 4
 
2.4%
A 4
 
2.4%
K 2
 
1.2%
T 1
 
0.6%
S 1
 
0.6%
C 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53842
57.6%
ASCII 39607
42.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17785
44.9%
1 3588
 
9.1%
- 3206
 
8.1%
2 2442
 
6.2%
0 2074
 
5.2%
3 2064
 
5.2%
4 1655
 
4.2%
5 1371
 
3.5%
6 1330
 
3.4%
9 1290
 
3.3%
Other values (13) 2802
 
7.1%
Hangul
ValueCountFrequency (%)
7646
14.2%
4461
 
8.3%
4178
 
7.8%
4172
 
7.7%
4172
 
7.7%
3588
 
6.7%
3557
 
6.6%
3335
 
6.2%
2586
 
4.8%
2340
 
4.3%
Other values (211) 13807
25.6%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct2816
Distinct (%)87.0%
Missing1052
Missing (%)24.5%
Memory size33.6 KiB
2024-04-21T06:07:49.324185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length25.620636
Min length19

Characters and Unicode

Total characters82934
Distinct characters302
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

Unique2484 ?
Unique (%)76.7%

Sample

1st row대구광역시 중구 동덕로 167 (동인동2가)
2nd row대구광역시 중구 달성로26길 86 (수창동)
3rd row대구광역시 중구 달구벌대로 2095 (덕산동)
4th row대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)
5th row대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)
ValueCountFrequency (%)
대구광역시 3237
 
19.7%
달서구 1022
 
6.2%
서구 827
 
5.0%
달성군 640
 
3.9%
북구 467
 
2.8%
논공읍 316
 
1.9%
이현동 280
 
1.7%
비산동 274
 
1.7%
노원동3가 257
 
1.6%
갈산동 242
 
1.5%
Other values (1672) 8893
54.0%
2024-04-21T06:07:51.157515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13938
 
16.8%
6135
 
7.4%
3787
 
4.6%
3256
 
3.9%
3243
 
3.9%
3242
 
3.9%
3152
 
3.8%
3060
 
3.7%
2944
 
3.5%
( 2695
 
3.2%
Other values (292) 37482
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50490
60.9%
Space Separator 13938
 
16.8%
Decimal Number 12366
 
14.9%
Open Punctuation 2695
 
3.2%
Close Punctuation 2695
 
3.2%
Dash Punctuation 531
 
0.6%
Other Punctuation 182
 
0.2%
Uppercase Letter 36
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6135
 
12.2%
3787
 
7.5%
3256
 
6.4%
3243
 
6.4%
3242
 
6.4%
3152
 
6.2%
3060
 
6.1%
2944
 
5.8%
2105
 
4.2%
2086
 
4.1%
Other values (266) 17480
34.6%
Decimal Number
ValueCountFrequency (%)
1 2327
18.8%
3 1771
14.3%
2 1739
14.1%
5 1131
9.1%
4 1094
8.8%
6 1028
8.3%
7 932
7.5%
9 841
 
6.8%
0 752
 
6.1%
8 751
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 11
30.6%
A 7
19.4%
L 4
 
11.1%
K 4
 
11.1%
C 2
 
5.6%
S 2
 
5.6%
T 2
 
5.6%
M 2
 
5.6%
E 1
 
2.8%
G 1
 
2.8%
Space Separator
ValueCountFrequency (%)
13938
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2695
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2695
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 531
100.0%
Other Punctuation
ValueCountFrequency (%)
, 182
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50491
60.9%
Common 32407
39.1%
Latin 36
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6135
 
12.2%
3787
 
7.5%
3256
 
6.4%
3243
 
6.4%
3242
 
6.4%
3152
 
6.2%
3060
 
6.1%
2944
 
5.8%
2105
 
4.2%
2086
 
4.1%
Other values (267) 17481
34.6%
Common
ValueCountFrequency (%)
13938
43.0%
( 2695
 
8.3%
) 2695
 
8.3%
1 2327
 
7.2%
3 1771
 
5.5%
2 1739
 
5.4%
5 1131
 
3.5%
4 1094
 
3.4%
6 1028
 
3.2%
7 932
 
2.9%
Other values (5) 3057
 
9.4%
Latin
ValueCountFrequency (%)
B 11
30.6%
A 7
19.4%
L 4
 
11.1%
K 4
 
11.1%
C 2
 
5.6%
S 2
 
5.6%
T 2
 
5.6%
M 2
 
5.6%
E 1
 
2.8%
G 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50490
60.9%
ASCII 32443
39.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13938
43.0%
( 2695
 
8.3%
) 2695
 
8.3%
1 2327
 
7.2%
3 1771
 
5.5%
2 1739
 
5.4%
5 1131
 
3.5%
4 1094
 
3.4%
6 1028
 
3.2%
7 932
 
2.9%
Other values (15) 3093
 
9.5%
Hangul
ValueCountFrequency (%)
6135
 
12.2%
3787
 
7.5%
3256
 
6.4%
3243
 
6.4%
3242
 
6.4%
3152
 
6.2%
3060
 
6.1%
2944
 
5.8%
2105
 
4.2%
2086
 
4.1%
Other values (266) 17480
34.6%
None
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct343
Distinct (%)20.2%
Missing2587
Missing (%)60.3%
Infinite0
Infinite (%)0.0%
Mean425705.39
Minimum41007
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.8 KiB
2024-04-21T06:07:51.491317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41500
Q142703.25
median702815
Q3704833
95-th percentile711855
Maximum711892
Range670885
Interquartile range (IQR)662129.75

Descriptive statistics

Standard deviation327640.33
Coefficient of variation (CV)0.76964101
Kurtosis-1.9017756
Mean425705.39
Median Absolute Deviation (MAD)9029.5
Skewness-0.31657302
Sum7.2455058 × 108
Variance1.0734819 × 1011
MonotonicityNot monotonic
2024-04-21T06:07:51.921801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704900 89
 
2.1%
704801 79
 
1.8%
702815 53
 
1.2%
704833 45
 
1.0%
711855 45
 
1.0%
704190 42
 
1.0%
703830 35
 
0.8%
702872 33
 
0.8%
703825 29
 
0.7%
704920 29
 
0.7%
Other values (333) 1223
28.5%
(Missing) 2587
60.3%
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 9
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
0.4%
711857 16
0.4%
Distinct3662
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
2024-04-21T06:07:52.846188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.2159011
Min length2

Characters and Unicode

Total characters30949
Distinct characters573
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

Unique3162 ?
Unique (%)73.7%

Sample

1st row(주)케이티에스테이트
2nd row신일모터스
3rd row지알이전문투자형사모부동산투자신탁 제2호
4th row(주)국민은행 대구지점
5th row이지스티디에이치제32호사모부동사투자유한회사
ValueCountFrequency (%)
주식회사 56
 
1.2%
대구공장 24
 
0.5%
제2공장 20
 
0.4%
2공장 14
 
0.3%
입주자대표회의 12
 
0.3%
10
 
0.2%
성서공장 10
 
0.2%
대구지점 8
 
0.2%
태성산업 7
 
0.1%
비산공장 7
 
0.1%
Other values (3767) 4527
96.4%
2024-04-21T06:07:54.097520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1989
 
6.4%
) 1967
 
6.4%
1914
 
6.2%
979
 
3.2%
832
 
2.7%
814
 
2.6%
751
 
2.4%
653
 
2.1%
494
 
1.6%
490
 
1.6%
Other values (563) 20066
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25599
82.7%
Open Punctuation 1990
 
6.4%
Close Punctuation 1968
 
6.4%
Space Separator 406
 
1.3%
Uppercase Letter 370
 
1.2%
Other Punctuation 217
 
0.7%
Other Symbol 203
 
0.7%
Decimal Number 176
 
0.6%
Lowercase Letter 14
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1914
 
7.5%
979
 
3.8%
832
 
3.3%
814
 
3.2%
751
 
2.9%
653
 
2.6%
494
 
1.9%
490
 
1.9%
479
 
1.9%
479
 
1.9%
Other values (506) 17714
69.2%
Uppercase Letter
ValueCountFrequency (%)
S 45
 
12.2%
C 33
 
8.9%
T 30
 
8.1%
E 26
 
7.0%
K 22
 
5.9%
P 20
 
5.4%
M 20
 
5.4%
D 20
 
5.4%
O 19
 
5.1%
G 18
 
4.9%
Other values (15) 117
31.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
h 2
14.3%
r 1
 
7.1%
a 1
 
7.1%
o 1
 
7.1%
t 1
 
7.1%
m 1
 
7.1%
g 1
 
7.1%
n 1
 
7.1%
c 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 79
44.9%
1 61
34.7%
3 20
 
11.4%
8 6
 
3.4%
5 4
 
2.3%
6 3
 
1.7%
4 2
 
1.1%
9 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 103
47.5%
, 85
39.2%
& 17
 
7.8%
/ 7
 
3.2%
* 3
 
1.4%
2
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 1989
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1967
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
406
100.0%
Other Symbol
ValueCountFrequency (%)
203
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25802
83.4%
Common 4763
 
15.4%
Latin 384
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1914
 
7.4%
979
 
3.8%
832
 
3.2%
814
 
3.2%
751
 
2.9%
653
 
2.5%
494
 
1.9%
490
 
1.9%
479
 
1.9%
479
 
1.9%
Other values (507) 17917
69.4%
Latin
ValueCountFrequency (%)
S 45
 
11.7%
C 33
 
8.6%
T 30
 
7.8%
E 26
 
6.8%
K 22
 
5.7%
P 20
 
5.2%
M 20
 
5.2%
D 20
 
5.2%
O 19
 
4.9%
G 18
 
4.7%
Other values (25) 131
34.1%
Common
ValueCountFrequency (%)
( 1989
41.8%
) 1967
41.3%
406
 
8.5%
. 103
 
2.2%
, 85
 
1.8%
2 79
 
1.7%
1 61
 
1.3%
3 20
 
0.4%
& 17
 
0.4%
/ 7
 
0.1%
Other values (11) 29
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25599
82.7%
ASCII 5145
 
16.6%
None 205
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1989
38.7%
) 1967
38.2%
406
 
7.9%
. 103
 
2.0%
, 85
 
1.7%
2 79
 
1.5%
1 61
 
1.2%
S 45
 
0.9%
C 33
 
0.6%
T 30
 
0.6%
Other values (45) 347
 
6.7%
Hangul
ValueCountFrequency (%)
1914
 
7.5%
979
 
3.8%
832
 
3.3%
814
 
3.2%
751
 
2.9%
653
 
2.6%
494
 
1.9%
490
 
1.9%
479
 
1.9%
479
 
1.9%
Other values (506) 17714
69.2%
None
ValueCountFrequency (%)
203
99.0%
2
 
1.0%

최종수정시점
Real number (ℝ)

Distinct4288
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0138294 × 1013
Minimum2.0001018 × 1013
Maximum2.0210131 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.8 KiB
2024-04-21T06:07:54.517989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0001018 × 1013
5-th percentile2.0040625 × 1013
Q12.0091208 × 1013
median2.0150827 × 1013
Q32.019082 × 1013
95-th percentile2.0210105 × 1013
Maximum2.0210131 × 1013
Range2.0911298 × 1011
Interquartile range (IQR)9.9612086 × 1010

Descriptive statistics

Standard deviation5.6534357 × 1010
Coefficient of variation (CV)0.0028073061
Kurtosis-1.1337355
Mean2.0138294 × 1013
Median Absolute Deviation (MAD)4.0418932 × 1010
Skewness-0.427171
Sum8.6373145 × 1016
Variance3.1961335 × 1021
MonotonicityNot monotonic
2024-04-21T06:07:54.962700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20200923085534 1
 
< 0.1%
20180126165622 1
 
< 0.1%
20060404141535 1
 
< 0.1%
20130527145756 1
 
< 0.1%
20020612112637 1
 
< 0.1%
20130117164943 1
 
< 0.1%
20170609162949 1
 
< 0.1%
20171024203301 1
 
< 0.1%
20171107153035 1
 
< 0.1%
Other values (4278) 4278
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 (%)
20210131140809 1
< 0.1%
20210131140646 1
< 0.1%
20210131140313 1
< 0.1%
20210131140219 1
< 0.1%
20210131135927 1
< 0.1%
20210131135502 1
< 0.1%
20210131135409 1
< 0.1%
20210131135314 1
< 0.1%
20210131135216 1
< 0.1%
20210131135050 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
I
2959 
U
1330 

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 2959
69.0%
U 1330
31.0%

Length

2024-04-21T06:07:55.372890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:07:55.693683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2959
69.0%
u 1330
31.0%
Distinct556
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
Minimum2018-09-01 23:59:59
Maximum2021-02-02 02:40:00
2024-04-21T06:07:56.054218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T06:07:56.734574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct419
Distinct (%)14.4%
Missing1376
Missing (%)32.1%
Memory size33.6 KiB
2024-04-21T06:07:57.944596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.175421
Min length2

Characters and Unicode

Total characters32554
Distinct characters294
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

Unique189 ?
Unique (%)6.5%

Sample

1st row비거주용 건물 건설업
2nd row부동산 임대업
3rd row우편 및 소포 송달업
4th row백화점
5th row주거용 부동산 관리업
ValueCountFrequency (%)
제조업 1424
 
15.8%
기타 889
 
9.9%
787
 
8.8%
자동차 336
 
3.7%
가공업 303
 
3.4%
염색 284
 
3.2%
수리업 276
 
3.1%
섬유 261
 
2.9%
조립금속제품 235
 
2.6%
그외 207
 
2.3%
Other values (561) 3992
44.4%
2024-04-21T06:07:59.375415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6083
18.7%
2957
 
9.1%
2494
 
7.7%
1819
 
5.6%
1257
 
3.9%
1089
 
3.3%
964
 
3.0%
857
 
2.6%
813
 
2.5%
705
 
2.2%
Other values (284) 13516
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26316
80.8%
Space Separator 6083
 
18.7%
Other Punctuation 132
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2957
 
11.2%
2494
 
9.5%
1819
 
6.9%
1257
 
4.8%
1089
 
4.1%
964
 
3.7%
857
 
3.3%
813
 
3.1%
705
 
2.7%
598
 
2.3%
Other values (279) 12763
48.5%
Other Punctuation
ValueCountFrequency (%)
, 120
90.9%
· 7
 
5.3%
; 5
 
3.8%
Space Separator
ValueCountFrequency (%)
6083
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26316
80.8%
Common 6238
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2957
 
11.2%
2494
 
9.5%
1819
 
6.9%
1257
 
4.8%
1089
 
4.1%
964
 
3.7%
857
 
3.3%
813
 
3.1%
705
 
2.7%
598
 
2.3%
Other values (279) 12763
48.5%
Common
ValueCountFrequency (%)
6083
97.5%
, 120
 
1.9%
1 23
 
0.4%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26316
80.8%
ASCII 6231
 
19.1%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6083
97.6%
, 120
 
1.9%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2957
 
11.2%
2494
 
9.5%
1819
 
6.9%
1257
 
4.8%
1089
 
4.1%
964
 
3.7%
857
 
3.3%
813
 
3.1%
705
 
2.7%
598
 
2.3%
Other values (279) 12763
48.5%
None
ValueCountFrequency (%)
· 7
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2609
Distinct (%)77.9%
Missing941
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean337873.13
Minimum324827.06
Maximum357474.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.8 KiB
2024-04-21T06:07:59.648353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328256.67
Q1335048.22
median338213.23
Q3340119.96
95-th percentile348326.44
Maximum357474.36
Range32647.303
Interquartile range (IQR)5071.7396

Descriptive statistics

Standard deviation5775.6523
Coefficient of variation (CV)0.017094145
Kurtosis1.535945
Mean337873.13
Median Absolute Deviation (MAD)2820.4734
Skewness0.73668274
Sum1.1311993 × 109
Variance33358160
MonotonicityNot monotonic
2024-04-21T06:07:59.903257image/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%
335898.647221 7
 
0.2%
336559.670287 7
 
0.2%
338653.414866 7
 
0.2%
339267.316441 6
 
0.1%
338853.934043 6
 
0.1%
337148.956227 6
 
0.1%
Other values (2599) 3275
76.4%
(Missing) 941
 
21.9%
ValueCountFrequency (%)
324827.061698 1
< 0.1%
325101.677227 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%
325801.723212 1
< 0.1%
325866.841016 1
< 0.1%
325886.496212 1
< 0.1%
ValueCountFrequency (%)
357474.36475 1
 
< 0.1%
357249.517998 1
 
< 0.1%
357183.0049 1
 
< 0.1%
356288.780361 1
 
< 0.1%
355939.362329 2
< 0.1%
355715.873404 2
< 0.1%
355708.657238 1
 
< 0.1%
355569.867912 1
 
< 0.1%
355558.233247 3
0.1%
355557.42313 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2607
Distinct (%)77.9%
Missing941
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean261085.42
Minimum235850.45
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.8 KiB
2024-04-21T06:08:00.270943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum235850.45
5-th percentile244792.87
Q1259896.86
median262964.75
Q3265731.76
95-th percentile267915.54
Maximum278091.65
Range42241.205
Interquartile range (IQR)5834.9007

Descriptive statistics

Standard deviation6994.8496
Coefficient of variation (CV)0.026791421
Kurtosis2.4986643
Mean261085.42
Median Absolute Deviation (MAD)2931.3393
Skewness-1.6618274
Sum8.74114 × 108
Variance48927921
MonotonicityNot monotonic
2024-04-21T06:08:00.684863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261497.640906 11
 
0.3%
261651.801477 8
 
0.2%
261562.315791 8
 
0.2%
258962.00812 7
 
0.2%
261730.820003 7
 
0.2%
263466.441258 7
 
0.2%
265188.870359 7
 
0.2%
263796.947456 6
 
0.1%
266176.21665 6
 
0.1%
263299.390649 6
 
0.1%
Other values (2597) 3275
76.4%
(Missing) 941
 
21.9%
ValueCountFrequency (%)
235850.448165 1
< 0.1%
236164.392418 1
< 0.1%
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%
ValueCountFrequency (%)
278091.653532 1
< 0.1%
277507.397404 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 2
< 0.1%
272669.414848 1
< 0.1%
271973.249974 2
< 0.1%
271412.222623 1
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
대기배출업소관리
4289 

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 4289
100.0%

Length

2024-04-21T06:08:00.914350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:08:01.098279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 4289
100.0%

업종구분명
Text

MISSING 

Distinct419
Distinct (%)14.4%
Missing1376
Missing (%)32.1%
Memory size33.6 KiB
2024-04-21T06:08:02.252890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.175421
Min length2

Characters and Unicode

Total characters32554
Distinct characters294
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

Unique189 ?
Unique (%)6.5%

Sample

1st row비거주용 건물 건설업
2nd row부동산 임대업
3rd row우편 및 소포 송달업
4th row백화점
5th row주거용 부동산 관리업
ValueCountFrequency (%)
제조업 1424
 
15.8%
기타 889
 
9.9%
787
 
8.8%
자동차 336
 
3.7%
가공업 303
 
3.4%
염색 284
 
3.2%
수리업 276
 
3.1%
섬유 261
 
2.9%
조립금속제품 235
 
2.6%
그외 207
 
2.3%
Other values (561) 3992
44.4%
2024-04-21T06:08:03.664710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6083
18.7%
2957
 
9.1%
2494
 
7.7%
1819
 
5.6%
1257
 
3.9%
1089
 
3.3%
964
 
3.0%
857
 
2.6%
813
 
2.5%
705
 
2.2%
Other values (284) 13516
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26316
80.8%
Space Separator 6083
 
18.7%
Other Punctuation 132
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2957
 
11.2%
2494
 
9.5%
1819
 
6.9%
1257
 
4.8%
1089
 
4.1%
964
 
3.7%
857
 
3.3%
813
 
3.1%
705
 
2.7%
598
 
2.3%
Other values (279) 12763
48.5%
Other Punctuation
ValueCountFrequency (%)
, 120
90.9%
· 7
 
5.3%
; 5
 
3.8%
Space Separator
ValueCountFrequency (%)
6083
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26316
80.8%
Common 6238
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2957
 
11.2%
2494
 
9.5%
1819
 
6.9%
1257
 
4.8%
1089
 
4.1%
964
 
3.7%
857
 
3.3%
813
 
3.1%
705
 
2.7%
598
 
2.3%
Other values (279) 12763
48.5%
Common
ValueCountFrequency (%)
6083
97.5%
, 120
 
1.9%
1 23
 
0.4%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26316
80.8%
ASCII 6231
 
19.1%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6083
97.6%
, 120
 
1.9%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2957
 
11.2%
2494
 
9.5%
1819
 
6.9%
1257
 
4.8%
1089
 
4.1%
964
 
3.7%
857
 
3.3%
813
 
3.1%
705
 
2.7%
598
 
2.3%
Other values (279) 12763
48.5%
None
ValueCountFrequency (%)
· 7
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.6 KiB
5종
2267 
4종
1408 
3종
 
204
<NA>
 
187
2종
 
184

Length

Max length4
Median length2
Mean length2.0871998
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2267
52.9%
4종 1408
32.8%
3종 204
 
4.8%
<NA> 187
 
4.4%
2종 184
 
4.3%
1종 39
 
0.9%

Length

2024-04-21T06:08:03.910764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:08:04.119713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2267
52.9%
4종 1408
32.8%
3종 204
 
4.8%
na 187
 
4.4%
2종 184
 
4.3%
1종 39
 
0.9%

주생산품명
Text

MISSING 

Distinct875
Distinct (%)62.3%
Missing2885
Missing (%)67.3%
Memory size33.6 KiB
2024-04-21T06:08:05.101702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length5.9323362
Min length1

Characters and Unicode

Total characters8329
Distinct characters452
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

Unique703 ?
Unique (%)50.1%

Sample

1st row전력,온수
2nd row자동차용 고무제품
3rd row천연가스
4th row자동차용고무제품
5th row레미콘
ValueCountFrequency (%)
자동차부품 176
 
9.7%
자동차 42
 
2.3%
37
 
2.0%
안경테 31
 
1.7%
28
 
1.5%
부품 25
 
1.4%
가공원단 20
 
1.1%
전자부품 20
 
1.1%
고무시트 19
 
1.0%
자동차정비 17
 
0.9%
Other values (905) 1396
77.1%
2024-04-21T06:08:06.400261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
510
 
6.1%
416
 
5.0%
407
 
4.9%
392
 
4.7%
349
 
4.2%
343
 
4.1%
165
 
2.0%
160
 
1.9%
134
 
1.6%
, 128
 
1.5%
Other values (442) 5325
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7304
87.7%
Space Separator 407
 
4.9%
Uppercase Letter 243
 
2.9%
Other Punctuation 142
 
1.7%
Lowercase Letter 90
 
1.1%
Close Punctuation 67
 
0.8%
Open Punctuation 67
 
0.8%
Dash Punctuation 4
 
< 0.1%
Decimal Number 4
 
< 0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
510
 
7.0%
416
 
5.7%
392
 
5.4%
349
 
4.8%
343
 
4.7%
165
 
2.3%
160
 
2.2%
134
 
1.8%
125
 
1.7%
115
 
1.6%
Other values (386) 4595
62.9%
Uppercase Letter
ValueCountFrequency (%)
P 44
18.1%
E 37
15.2%
C 20
8.2%
L 20
8.2%
D 17
 
7.0%
T 16
 
6.6%
I 14
 
5.8%
O 14
 
5.8%
R 10
 
4.1%
A 9
 
3.7%
Other values (12) 42
17.3%
Lowercase Letter
ValueCountFrequency (%)
o 10
11.1%
i 9
10.0%
r 8
 
8.9%
t 8
 
8.9%
e 8
 
8.9%
l 7
 
7.8%
a 6
 
6.7%
f 5
 
5.6%
c 5
 
5.6%
u 3
 
3.3%
Other values (12) 21
23.3%
Other Punctuation
ValueCountFrequency (%)
, 128
90.1%
. 11
 
7.7%
/ 2
 
1.4%
& 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
0 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
407
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7304
87.7%
Common 692
 
8.3%
Latin 333
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
510
 
7.0%
416
 
5.7%
392
 
5.4%
349
 
4.8%
343
 
4.7%
165
 
2.3%
160
 
2.2%
134
 
1.8%
125
 
1.7%
115
 
1.6%
Other values (386) 4595
62.9%
Latin
ValueCountFrequency (%)
P 44
 
13.2%
E 37
 
11.1%
C 20
 
6.0%
L 20
 
6.0%
D 17
 
5.1%
T 16
 
4.8%
I 14
 
4.2%
O 14
 
4.2%
o 10
 
3.0%
R 10
 
3.0%
Other values (34) 131
39.3%
Common
ValueCountFrequency (%)
407
58.8%
, 128
 
18.5%
) 67
 
9.7%
( 67
 
9.7%
. 11
 
1.6%
- 4
 
0.6%
/ 2
 
0.3%
2 2
 
0.3%
1
 
0.1%
& 1
 
0.1%
Other values (2) 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7304
87.7%
ASCII 1024
 
12.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
510
 
7.0%
416
 
5.7%
392
 
5.4%
349
 
4.8%
343
 
4.7%
165
 
2.3%
160
 
2.2%
134
 
1.8%
125
 
1.7%
115
 
1.6%
Other values (386) 4595
62.9%
ASCII
ValueCountFrequency (%)
407
39.7%
, 128
 
12.5%
) 67
 
6.5%
( 67
 
6.5%
P 44
 
4.3%
E 37
 
3.6%
C 20
 
2.0%
L 20
 
2.0%
D 17
 
1.7%
T 16
 
1.6%
Other values (45) 201
19.6%
None
ValueCountFrequency (%)
1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct34
Distinct (%)0.8%
Missing59
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean7.6908156
Minimum0
Maximum912
Zeros1374
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size37.8 KiB
2024-04-21T06:08:06.787585image/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 deviation15.706715
Coefficient of variation (CV)2.0422691
Kurtosis2599.1365
Mean7.6908156
Median Absolute Deviation (MAD)4
Skewness45.24436
Sum32532.15
Variance246.7009
MonotonicityNot monotonic
2024-04-21T06:08:07.178696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
8.0 1546
36.0%
0.0 1374
32.0%
24.0 439
 
10.2%
10.0 238
 
5.5%
6.0 85
 
2.0%
12.0 76
 
1.8%
5.0 62
 
1.4%
20.0 58
 
1.4%
4.0 56
 
1.3%
7.0 53
 
1.2%
Other values (24) 243
 
5.7%
(Missing) 59
 
1.4%
ValueCountFrequency (%)
0.0 1374
32.0%
1.0 12
 
0.3%
1.5 1
 
< 0.1%
2.0 16
 
0.4%
2.5 1
 
< 0.1%
3.0 23
 
0.5%
3.5 1
 
< 0.1%
4.0 56
 
1.3%
5.0 62
 
1.4%
6.0 85
 
2.0%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
30.0 3
 
0.1%
25.0 2
 
< 0.1%
24.0 439
10.2%
22.0 13
 
0.3%
21.0 9
 
0.2%
20.0 58
 
1.4%
19.0 3
 
0.1%
18.0 6
 
0.1%
17.0 3
 
0.1%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct96
Distinct (%)2.3%
Missing64
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean196.75385
Minimum0
Maximum365
Zeros1388
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size37.8 KiB
2024-04-21T06:08:07.502606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation141.35558
Coefficient of variation (CV)0.71843873
Kurtosis-1.533584
Mean196.75385
Median Absolute Deviation (MAD)0
Skewness-0.61650861
Sum831285
Variance19981.401
MonotonicityNot monotonic
2024-04-21T06:08:07.776731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2186
51.0%
0 1388
32.4%
240 72
 
1.7%
365 62
 
1.4%
312 41
 
1.0%
360 38
 
0.9%
264 33
 
0.8%
250 30
 
0.7%
180 28
 
0.7%
280 23
 
0.5%
Other values (86) 324
 
7.6%
(Missing) 64
 
1.5%
ValueCountFrequency (%)
0 1388
32.4%
8 2
 
< 0.1%
24 3
 
0.1%
25 2
 
< 0.1%
30 3
 
0.1%
52 1
 
< 0.1%
60 2
 
< 0.1%
80 1
 
< 0.1%
84 1
 
< 0.1%
88 1
 
< 0.1%
ValueCountFrequency (%)
365 62
1.4%
362 1
 
< 0.1%
361 2
 
< 0.1%
360 38
0.9%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 14
 
0.3%
341 2
 
< 0.1%
340 14
 
0.3%
338 1
 
< 0.1%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)0.9%
Missing447
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean7.3214862
Minimum0
Maximum360
Zeros1372
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size37.8 KiB
2024-04-21T06:08:08.022521image/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 deviation11.237811
Coefficient of variation (CV)1.5349084
Kurtosis442.67271
Mean7.3214862
Median Absolute Deviation (MAD)5
Skewness16.163414
Sum28129.15
Variance126.28839
MonotonicityNot monotonic
2024-04-21T06:08:08.252029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
8.0 1391
32.4%
0.0 1372
32.0%
24.0 367
 
8.6%
10.0 193
 
4.5%
6.0 71
 
1.7%
12.0 60
 
1.4%
5.0 58
 
1.4%
7.0 49
 
1.1%
20.0 48
 
1.1%
4.0 44
 
1.0%
Other values (23) 189
 
4.4%
(Missing) 447
 
10.4%
ValueCountFrequency (%)
0.0 1372
32.0%
1.0 10
 
0.2%
2.0 10
 
0.2%
3.0 13
 
0.3%
4.0 44
 
1.0%
5.0 58
 
1.4%
6.0 71
 
1.7%
7.0 49
 
1.1%
7.5 2
 
< 0.1%
8.0 1391
32.4%
ValueCountFrequency (%)
360.0 1
 
< 0.1%
300.0 1
 
< 0.1%
264.0 1
 
< 0.1%
100.0 1
 
< 0.1%
30.0 3
 
0.1%
25.0 3
 
0.1%
24.0 367
8.6%
22.0 10
 
0.2%
21.0 9
 
0.2%
20.0 48
 
1.1%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)2.2%
Missing410
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean190.18948
Minimum0
Maximum365
Zeros1379
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size37.8 KiB
2024-04-21T06:08:08.609991image/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 deviation143.87307
Coefficient of variation (CV)0.75647229
Kurtosis-1.6597384
Mean190.18948
Median Absolute Deviation (MAD)0
Skewness-0.52492481
Sum737745
Variance20699.461
MonotonicityNot monotonic
2024-04-21T06:08:09.063372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 1977
46.1%
0 1379
32.2%
240 60
 
1.4%
365 43
 
1.0%
312 41
 
1.0%
360 33
 
0.8%
250 27
 
0.6%
264 24
 
0.6%
280 22
 
0.5%
330 19
 
0.4%
Other values (74) 254
 
5.9%
(Missing) 410
 
9.6%
ValueCountFrequency (%)
0 1379
32.2%
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 43
1.0%
362 1
 
< 0.1%
361 1
 
< 0.1%
360 33
0.8%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 13
 
0.3%
341 2
 
< 0.1%
340 13
 
0.3%
338 1
 
< 0.1%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
01대기오염물질배출시설설치사업장09_30_08_P341000034100002120200000120200625<NA>1영업/정상11영업<NA><NA><NA><NA>0534310803<NA><NA>대구광역시 중구 동인동2가 74-15대구광역시 중구 동덕로 167 (동인동2가)<NA>(주)케이티에스테이트20200923085534U2020-09-25 02:40:00.0비거주용 건물 건설업344751.422529264471.140592대기배출업소관리비거주용 건물 건설업5종<NA>1.0300<NA><NA>
12대기오염물질배출시설설치사업장09_30_08_P341000034100002120140000120140626<NA>4취소/말소/만료/정지/중지4폐쇄20191205<NA><NA><NA>593-3198<NA><NA>대구광역시 중구 수창동 47-1번지대구광역시 중구 달성로26길 86 (수창동)700850신일모터스20191205182833U2019-12-07 02:40:00.0<NA>343222.95548265036.439644대기배출업소관리<NA>5종<NA>8.0300<NA>300
23대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001520151209<NA>1영업/정상11영업<NA><NA><NA><NA>053-250-5555<NA><NA>대구광역시 중구 덕산동 110대구광역시 중구 달구벌대로 2095 (덕산동)41936지알이전문투자형사모부동산투자신탁 제2호20210106102843U2021-01-08 02:40:00.0<NA>343787.134091264065.576741대기배출업소관리<NA>4종<NA>6.0196<NA><NA>
34대기오염물질배출시설설치사업장09_30_08_P341000034100002120150000620151120<NA>1영업/정상11영업<NA><NA><NA><NA>053-251-6019<NA><NA>대구광역시 중구 남일동 138-3 국민은행대구지점대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)41935(주)국민은행 대구지점20200810091933U2020-08-12 02:40:00.0<NA>343836.000284264353.542698대기배출업소관리<NA>5종<NA>10.0150<NA><NA>
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