Overview

Dataset statistics

Number of variables36
Number of observations4320
Missing cells40537
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_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089704&dataSetDetailId=DDI_0000089750&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
환경업무구분명 has constant value ""Constant
인허가일자 has 140 (3.2%) missing valuesMissing
인허가취소일자 has 4320 (100.0%) missing valuesMissing
폐업일자 has 2470 (57.2%) missing valuesMissing
휴업시작일자 has 4320 (100.0%) missing valuesMissing
휴업종료일자 has 4320 (100.0%) missing valuesMissing
재개업일자 has 4320 (100.0%) missing valuesMissing
소재지전화 has 677 (15.7%) missing valuesMissing
소재지면적 has 4320 (100.0%) missing valuesMissing
소재지우편번호 has 3388 (78.4%) missing valuesMissing
소재지전체주소 has 118 (2.7%) missing valuesMissing
도로명전체주소 has 1051 (24.3%) missing valuesMissing
도로명우편번호 has 2588 (59.9%) missing valuesMissing
업태구분명 has 1372 (31.8%) missing valuesMissing
좌표정보(X) has 939 (21.7%) missing valuesMissing
좌표정보(Y) has 939 (21.7%) missing valuesMissing
업종구분명 has 1372 (31.8%) missing valuesMissing
주생산품명 has 2909 (67.3%) missing valuesMissing
배출시설조업시간 has 59 (1.4%) missing valuesMissing
배출시설연간가동일수 has 64 (1.5%) missing valuesMissing
방지시설조업시간 has 444 (10.3%) missing valuesMissing
방지시설연간가동일수 has 407 (9.4%) missing valuesMissing
배출시설조업시간 is highly skewed (γ1 = 45.39705737)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 1373 (31.8%) zerosZeros
배출시설연간가동일수 has 1387 (32.1%) zerosZeros
방지시설조업시간 has 1370 (31.7%) zerosZeros
방지시설연간가동일수 has 1377 (31.9%) zerosZeros

Reproduction

Analysis started2024-04-17 22:31:27.495760
Analysis finished2024-04-17 22:31:28.981215
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4320
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2160.5
Minimum1
Maximum4320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-18T07:31:29.045823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile216.95
Q11080.75
median2160.5
Q33240.25
95-th percentile4104.05
Maximum4320
Range4319
Interquartile range (IQR)2159.5

Descriptive statistics

Standard deviation1247.2209
Coefficient of variation (CV)0.57728346
Kurtosis-1.2
Mean2160.5
Median Absolute Deviation (MAD)1080
Skewness0
Sum9333360
Variance1555560
MonotonicityStrictly increasing
2024-04-18T07:31:29.163946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2887 1
 
< 0.1%
2873 1
 
< 0.1%
2874 1
 
< 0.1%
2875 1
 
< 0.1%
2876 1
 
< 0.1%
2877 1
 
< 0.1%
2878 1
 
< 0.1%
2879 1
 
< 0.1%
2880 1
 
< 0.1%
Other values (4310) 4310
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 (%)
4320 1
< 0.1%
4319 1
< 0.1%
4318 1
< 0.1%
4317 1
< 0.1%
4316 1
< 0.1%
4315 1
< 0.1%
4314 1
< 0.1%
4313 1
< 0.1%
4312 1
< 0.1%
4311 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
대기오염물질배출시설설치사업장
4320 

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 4320
100.0%

Length

2024-04-18T07:31:29.277163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:31:29.376601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 4320
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
09_30_08_P
4320 

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 4320
100.0%

Length

2024-04-18T07:31:29.464688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:31:29.549895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 4320
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3456428.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-18T07:31:29.624902image/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 deviation20412.44
Coefficient of variation (CV)0.0059056454
Kurtosis-1.297877
Mean3456428.2
Median Absolute Deviation (MAD)10000
Skewness-0.50388335
Sum1.493177 × 1010
Variance4.1666769 × 108
MonotonicityIncreasing
2024-04-18T07:31:29.739920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1689
39.1%
3430000 1090
25.2%
3480000 716
16.6%
3450000 497
 
11.5%
3420000 171
 
4.0%
3460000 103
 
2.4%
3410000 35
 
0.8%
3440000 19
 
0.4%
ValueCountFrequency (%)
3410000 35
 
0.8%
3420000 171
 
4.0%
3430000 1090
25.2%
3440000 19
 
0.4%
3450000 497
 
11.5%
3460000 103
 
2.4%
3470000 1689
39.1%
3480000 716
16.6%
ValueCountFrequency (%)
3480000 716
16.6%
3470000 1689
39.1%
3460000 103
 
2.4%
3450000 497
 
11.5%
3440000 19
 
0.4%
3430000 1090
25.2%
3420000 171
 
4.0%
3410000 35
 
0.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct4320
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4564285 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-18T07:31:29.856826image/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 deviation2.041244 × 1015
Coefficient of variation (CV)0.0059056451
Kurtosis-1.297877
Mean3.4564285 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.50388335
Sum-1.0091784 × 1018
Variance4.1666769 × 1030
MonotonicityNot monotonic
2024-04-18T07:31:29.996529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021202000001 1
 
< 0.1%
347000021200000019 1
 
< 0.1%
347000021201400034 1
 
< 0.1%
347000021201500003 1
 
< 0.1%
347000021201600029 1
 
< 0.1%
347000021200000005 1
 
< 0.1%
347000021200000006 1
 
< 0.1%
347000021200000008 1
 
< 0.1%
347000021200000011 1
 
< 0.1%
347000021200000012 1
 
< 0.1%
Other values (4310) 4310
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 (%)
348000021202100013 1
< 0.1%
348000021202100012 1
< 0.1%
348000021202100011 1
< 0.1%
348000021202100010 1
< 0.1%
348000021202100009 1
< 0.1%
348000021202100008 1
< 0.1%
348000021202100007 1
< 0.1%
348000021202100006 1
< 0.1%
348000021202100005 1
< 0.1%
348000021202100004 1
< 0.1%

인허가일자
Real number (ℝ)

MISSING 

Distinct2688
Distinct (%)64.3%
Missing140
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean20035354
Minimum19010101
Maximum20210528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-18T07:31:30.139494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19870402
Q120000112
median20040702
Q320120946
95-th percentile20190108
Maximum20210528
Range1200427
Interquartile range (IQR)120833.25

Descriptive statistics

Standard deviation147842.91
Coefficient of variation (CV)0.0073791016
Kurtosis26.394632
Mean20035354
Median Absolute Deviation (MAD)70505.5
Skewness-4.1844102
Sum8.3747778 × 1010
Variance2.1857526 × 1010
MonotonicityNot monotonic
2024-04-18T07:31:30.281784image/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%
20151231 13
 
0.3%
Other values (2678) 3849
89.1%
(Missing) 140
 
3.2%
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 (%)
20210528 1
< 0.1%
20210525 1
< 0.1%
20210523 1
< 0.1%
20210513 1
< 0.1%
20210512 1
< 0.1%
20210510 1
< 0.1%
20210506 1
< 0.1%
20210429 1
< 0.1%
20210423 1
< 0.1%
20210420 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4320
Missing (%)100.0%
Memory size38.1 KiB
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
3
1942 
1
1920 
4
456 
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 1942
45.0%
1 1920
44.4%
4 456
 
10.6%
2 2
 
< 0.1%

Length

2024-04-18T07:31:30.400590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:31:30.492567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1942
45.0%
1 1920
44.4%
4 456
 
10.6%
2 2
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
폐업
1942 
영업/정상
1920 
취소/말소/만료/정지/중지
456 
휴업
 
2

Length

Max length14
Median length5
Mean length4.6
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 1942
45.0%
영업/정상 1920
44.4%
취소/말소/만료/정지/중지 456
 
10.6%
휴업 2
 
< 0.1%

Length

2024-04-18T07:31:30.592777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:31:30.700282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1942
45.0%
영업/정상 1920
44.4%
취소/말소/만료/정지/중지 456
 
10.6%
휴업 2
 
< 0.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
2
1942 
11
1920 
4
456 
1
 
2

Length

Max length2
Median length1
Mean length1.4444444
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1942
45.0%
11 1920
44.4%
4 456
 
10.6%
1 2
 
< 0.1%

Length

2024-04-18T07:31:30.831510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:31:30.931992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1942
45.0%
11 1920
44.4%
4 456
 
10.6%
1 2
 
< 0.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
폐업
1942 
영업
1920 
폐쇄
456 
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 1942
45.0%
영업 1920
44.4%
폐쇄 456
 
10.6%
휴업 2
 
< 0.1%

Length

2024-04-18T07:31:31.052847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:31:31.149267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1942
45.0%
영업 1920
44.4%
폐쇄 456
 
10.6%
휴업 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1166
Distinct (%)63.0%
Missing2470
Missing (%)57.2%
Infinite0
Infinite (%)0.0%
Mean20097874
Minimum19930721
Maximum20210528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-18T07:31:31.261673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930721
5-th percentile20030614
Q120050617
median20081118
Q320140882
95-th percentile20200716
Maximum20210528
Range279807
Interquartile range (IQR)90265

Descriptive statistics

Standard deviation55775.649
Coefficient of variation (CV)0.0027752014
Kurtosis-0.86953339
Mean20097874
Median Absolute Deviation (MAD)40108.5
Skewness0.53979638
Sum3.7181067 × 1010
Variance3.110923 × 109
MonotonicityNot monotonic
2024-04-18T07:31:31.388759image/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%
20091216 11
 
0.3%
20091218 11
 
0.3%
20201208 11
 
0.3%
20040601 10
 
0.2%
Other values (1156) 1572
36.4%
(Missing) 2470
57.2%
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 (%)
20210528 1
< 0.1%
20210527 1
< 0.1%
20210525 1
< 0.1%
20210518 1
< 0.1%
20210517 1
< 0.1%
20210513 1
< 0.1%
20210504 1
< 0.1%
20210423 2
< 0.1%
20210422 1
< 0.1%
20210421 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4320
Missing (%)100.0%
Memory size38.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4320
Missing (%)100.0%
Memory size38.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4320
Missing (%)100.0%
Memory size38.1 KiB

소재지전화
Text

MISSING 

Distinct3395
Distinct (%)93.2%
Missing677
Missing (%)15.7%
Memory size33.9 KiB
2024-04-18T07:31:31.628613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.9256108
Min length3

Characters and Unicode

Total characters36159
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

Unique3173 ?
Unique (%)87.1%

Sample

1st row0534310803
2nd row593-3198
3rd row053-250-5555
4th row053-251-6019
5th row0534288984
ValueCountFrequency (%)
053 512
 
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%
053615 23
 
0.4%
584 23
 
0.4%
567 23
 
0.4%
Other values (3360) 4307
82.2%
2024-04-18T07:31:31.983020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7443
20.6%
3 5451
15.1%
0 5306
14.7%
1 3239
9.0%
8 2654
 
7.3%
6 2545
 
7.0%
2 2181
 
6.0%
7 1775
 
4.9%
4 1678
 
4.6%
1611
 
4.5%
Other values (4) 2276
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33754
93.3%
Space Separator 1611
 
4.5%
Dash Punctuation 792
 
2.2%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7443
22.1%
3 5451
16.1%
0 5306
15.7%
1 3239
9.6%
8 2654
 
7.9%
6 2545
 
7.5%
2 2181
 
6.5%
7 1775
 
5.3%
4 1678
 
5.0%
9 1482
 
4.4%
Space Separator
ValueCountFrequency (%)
1611
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 792
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36159
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7443
20.6%
3 5451
15.1%
0 5306
14.7%
1 3239
9.0%
8 2654
 
7.3%
6 2545
 
7.0%
2 2181
 
6.0%
7 1775
 
4.9%
4 1678
 
4.6%
1611
 
4.5%
Other values (4) 2276
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36159
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7443
20.6%
3 5451
15.1%
0 5306
14.7%
1 3239
9.0%
8 2654
 
7.3%
6 2545
 
7.0%
2 2181
 
6.0%
7 1775
 
4.9%
4 1678
 
4.6%
1611
 
4.5%
Other values (4) 2276
 
6.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4320
Missing (%)100.0%
Memory size38.1 KiB

소재지우편번호
Text

MISSING 

Distinct117
Distinct (%)12.6%
Missing3388
Missing (%)78.4%
Memory size33.9 KiB
2024-04-18T07:31:32.186926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters5592
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) 505
54.2%
2024-04-18T07:31:32.502347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1663
29.7%
7 1015
18.2%
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%
78
 
1.4%
Other values (4) 123
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5462
97.7%
Space Separator 78
 
1.4%
Lowercase Letter 52
 
0.9%

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 26
50.0%
n 13
25.0%
u 13
25.0%
Space Separator
ValueCountFrequency (%)
78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5540
99.1%
Latin 52
 
0.9%

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%
78
 
1.4%
Latin
ValueCountFrequency (%)
l 26
50.0%
n 13
25.0%
u 13
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1663
29.7%
7 1015
18.2%
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%
78
 
1.4%
Other values (4) 123
 
2.2%

소재지전체주소
Text

MISSING 

Distinct3318
Distinct (%)79.0%
Missing118
Missing (%)2.7%
Memory size33.9 KiB
2024-04-18T07:31:32.824634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length22.348168
Min length13

Characters and Unicode

Total characters93907
Distinct characters250
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

Unique2719 ?
Unique (%)64.7%

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 4202
23.5%
달서구 1480
 
8.3%
서구 1072
 
6.0%
달성군 871
 
4.9%
북구 494
 
2.8%
이현동 383
 
2.1%
갈산동 370
 
2.1%
비산동 362
 
2.0%
논공읍 344
 
1.9%
중리동 275
 
1.5%
Other values (3452) 8062
45.0%
2024-04-18T07:31:33.301019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17930
19.1%
7706
 
8.2%
4496
 
4.8%
4211
 
4.5%
4205
 
4.5%
4205
 
4.5%
1 3619
 
3.9%
3615
 
3.8%
3436
 
3.7%
- 3229
 
3.4%
Other values (240) 37255
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53990
57.5%
Decimal Number 18313
 
19.5%
Space Separator 17930
 
19.1%
Dash Punctuation 3229
 
3.4%
Uppercase Letter 160
 
0.2%
Close Punctuation 127
 
0.1%
Open Punctuation 110
 
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 (%)
7706
14.3%
4496
 
8.3%
4211
 
7.8%
4205
 
7.8%
4205
 
7.8%
3615
 
6.7%
3436
 
6.4%
3210
 
5.9%
2593
 
4.8%
2354
 
4.4%
Other values (216) 13959
25.9%
Decimal Number
ValueCountFrequency (%)
1 3619
19.8%
2 2462
13.4%
0 2084
11.4%
3 2079
11.4%
4 1667
9.1%
5 1379
 
7.5%
6 1340
 
7.3%
9 1303
 
7.1%
7 1274
 
7.0%
8 1106
 
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%
C 1
 
0.6%
S 1
 
0.6%
Space Separator
ValueCountFrequency (%)
17930
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3229
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
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 53991
57.5%
Common 39752
42.3%
Latin 164
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7706
14.3%
4496
 
8.3%
4211
 
7.8%
4205
 
7.8%
4205
 
7.8%
3615
 
6.7%
3436
 
6.4%
3210
 
5.9%
2593
 
4.8%
2354
 
4.4%
Other values (217) 13960
25.9%
Common
ValueCountFrequency (%)
17930
45.1%
1 3619
 
9.1%
- 3229
 
8.1%
2 2462
 
6.2%
0 2084
 
5.2%
3 2079
 
5.2%
4 1667
 
4.2%
5 1379
 
3.5%
6 1340
 
3.4%
9 1303
 
3.3%
Other values (5) 2660
 
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%
C 1
 
0.6%
S 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53990
57.5%
ASCII 39916
42.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17930
44.9%
1 3619
 
9.1%
- 3229
 
8.1%
2 2462
 
6.2%
0 2084
 
5.2%
3 2079
 
5.2%
4 1667
 
4.2%
5 1379
 
3.5%
6 1340
 
3.4%
9 1303
 
3.3%
Other values (13) 2824
 
7.1%
Hangul
ValueCountFrequency (%)
7706
14.3%
4496
 
8.3%
4211
 
7.8%
4205
 
7.8%
4205
 
7.8%
3615
 
6.7%
3436
 
6.4%
3210
 
5.9%
2593
 
4.8%
2354
 
4.4%
Other values (216) 13959
25.9%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct2844
Distinct (%)87.0%
Missing1051
Missing (%)24.3%
Memory size33.9 KiB
2024-04-18T07:31:33.601094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length25.626491
Min length19

Characters and Unicode

Total characters83773
Distinct characters306
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

Unique2508 ?
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 3269
 
19.7%
달서구 1027
 
6.2%
서구 828
 
5.0%
달성군 649
 
3.9%
북구 482
 
2.9%
논공읍 320
 
1.9%
이현동 281
 
1.7%
비산동 274
 
1.6%
노원동3가 264
 
1.6%
갈산동 243
 
1.5%
Other values (1689) 8987
54.1%
2024-04-18T07:31:33.986790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14071
 
16.8%
6193
 
7.4%
3824
 
4.6%
3289
 
3.9%
3275
 
3.9%
3274
 
3.9%
3182
 
3.8%
3088
 
3.7%
2958
 
3.5%
( 2718
 
3.2%
Other values (296) 37901
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51006
60.9%
Space Separator 14071
 
16.8%
Decimal Number 12495
 
14.9%
Open Punctuation 2718
 
3.2%
Close Punctuation 2718
 
3.2%
Dash Punctuation 539
 
0.6%
Other Punctuation 187
 
0.2%
Uppercase Letter 38
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6193
 
12.1%
3824
 
7.5%
3289
 
6.4%
3275
 
6.4%
3274
 
6.4%
3182
 
6.2%
3088
 
6.1%
2958
 
5.8%
2126
 
4.2%
2104
 
4.1%
Other values (270) 17693
34.7%
Decimal Number
ValueCountFrequency (%)
1 2342
18.7%
3 1786
14.3%
2 1765
14.1%
5 1142
9.1%
4 1104
8.8%
6 1038
8.3%
7 945
7.6%
9 853
 
6.8%
0 760
 
6.1%
8 760
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 11
28.9%
A 7
18.4%
K 5
13.2%
L 4
 
10.5%
S 3
 
7.9%
C 2
 
5.3%
T 2
 
5.3%
M 2
 
5.3%
E 1
 
2.6%
G 1
 
2.6%
Space Separator
ValueCountFrequency (%)
14071
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2718
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2718
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 539
100.0%
Other Punctuation
ValueCountFrequency (%)
, 187
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51007
60.9%
Common 32728
39.1%
Latin 38
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6193
 
12.1%
3824
 
7.5%
3289
 
6.4%
3275
 
6.4%
3274
 
6.4%
3182
 
6.2%
3088
 
6.1%
2958
 
5.8%
2126
 
4.2%
2104
 
4.1%
Other values (271) 17694
34.7%
Common
ValueCountFrequency (%)
14071
43.0%
( 2718
 
8.3%
) 2718
 
8.3%
1 2342
 
7.2%
3 1786
 
5.5%
2 1765
 
5.4%
5 1142
 
3.5%
4 1104
 
3.4%
6 1038
 
3.2%
7 945
 
2.9%
Other values (5) 3099
 
9.5%
Latin
ValueCountFrequency (%)
B 11
28.9%
A 7
18.4%
K 5
13.2%
L 4
 
10.5%
S 3
 
7.9%
C 2
 
5.3%
T 2
 
5.3%
M 2
 
5.3%
E 1
 
2.6%
G 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51006
60.9%
ASCII 32766
39.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14071
42.9%
( 2718
 
8.3%
) 2718
 
8.3%
1 2342
 
7.1%
3 1786
 
5.5%
2 1765
 
5.4%
5 1142
 
3.5%
4 1104
 
3.4%
6 1038
 
3.2%
7 945
 
2.9%
Other values (15) 3137
 
9.6%
Hangul
ValueCountFrequency (%)
6193
 
12.1%
3824
 
7.5%
3289
 
6.4%
3275
 
6.4%
3274
 
6.4%
3182
 
6.2%
3088
 
6.1%
2958
 
5.8%
2126
 
4.2%
2104
 
4.1%
Other values (270) 17693
34.7%
None
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct345
Distinct (%)19.9%
Missing2588
Missing (%)59.9%
Infinite0
Infinite (%)0.0%
Mean420592.92
Minimum41005
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-18T07:31:34.129591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41500
Q142703
median702815
Q3704833
95-th percentile711855
Maximum711892
Range670887
Interquartile range (IQR)662130

Descriptive statistics

Standard deviation328407.68
Coefficient of variation (CV)0.78082075
Kurtosis-1.9209424
Mean420592.92
Median Absolute Deviation (MAD)9040
Skewness-0.28467507
Sum7.2846694 × 108
Variance1.078516 × 1011
MonotonicityNot monotonic
2024-04-18T07:31:34.242441image/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 55
 
1.3%
711855 45
 
1.0%
704833 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 (335) 1251
29.0%
(Missing) 2588
59.9%
ValueCountFrequency (%)
41005 1
 
< 0.1%
41007 1
 
< 0.1%
41052 1
 
< 0.1%
41060 1
 
< 0.1%
41061 1
 
< 0.1%
41074 1
 
< 0.1%
41078 11
0.3%
41079 4
 
0.1%
41081 4
 
0.1%
41082 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 20
0.5%
711857 16
0.4%
Distinct3694
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
2024-04-18T07:31:34.447126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.2180556
Min length2

Characters and Unicode

Total characters31182
Distinct characters572
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

Unique3196 ?
Unique (%)74.0%

Sample

1st row(주)케이티에스테이트
2nd row신일모터스
3rd row지알이전문투자형사모부동산투자신탁 제2호
4th row(주)국민은행 대구지점
5th row이지스티디에이치제32호사모부동사투자유한회사
ValueCountFrequency (%)
주식회사 59
 
1.2%
대구공장 24
 
0.5%
제2공장 20
 
0.4%
2공장 14
 
0.3%
입주자대표회의 12
 
0.3%
성서공장 10
 
0.2%
10
 
0.2%
대구지점 8
 
0.2%
비산공장 7
 
0.1%
대성산업 7
 
0.1%
Other values (3800) 4564
96.4%
2024-04-18T07:31:34.786353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1997
 
6.4%
) 1974
 
6.3%
1926
 
6.2%
987
 
3.2%
834
 
2.7%
821
 
2.6%
757
 
2.4%
665
 
2.1%
500
 
1.6%
494
 
1.6%
Other values (562) 20227
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25804
82.8%
Open Punctuation 1998
 
6.4%
Close Punctuation 1975
 
6.3%
Space Separator 415
 
1.3%
Uppercase Letter 374
 
1.2%
Other Punctuation 217
 
0.7%
Other Symbol 202
 
0.6%
Decimal Number 177
 
0.6%
Lowercase Letter 14
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1926
 
7.5%
987
 
3.8%
834
 
3.2%
821
 
3.2%
757
 
2.9%
665
 
2.6%
500
 
1.9%
494
 
1.9%
484
 
1.9%
482
 
1.9%
Other values (505) 17854
69.2%
Uppercase Letter
ValueCountFrequency (%)
S 46
 
12.3%
C 33
 
8.8%
T 30
 
8.0%
E 27
 
7.2%
K 22
 
5.9%
D 20
 
5.3%
P 20
 
5.3%
M 20
 
5.3%
O 19
 
5.1%
G 18
 
4.8%
Other values (15) 119
31.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
h 2
14.3%
a 1
 
7.1%
n 1
 
7.1%
g 1
 
7.1%
m 1
 
7.1%
r 1
 
7.1%
t 1
 
7.1%
o 1
 
7.1%
c 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 80
45.2%
1 61
34.5%
3 20
 
11.3%
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 (%)
( 1997
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1974
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
415
100.0%
Other Symbol
ValueCountFrequency (%)
202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26006
83.4%
Common 4788
 
15.4%
Latin 388
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1926
 
7.4%
987
 
3.8%
834
 
3.2%
821
 
3.2%
757
 
2.9%
665
 
2.6%
500
 
1.9%
494
 
1.9%
484
 
1.9%
482
 
1.9%
Other values (506) 18056
69.4%
Latin
ValueCountFrequency (%)
S 46
 
11.9%
C 33
 
8.5%
T 30
 
7.7%
E 27
 
7.0%
K 22
 
5.7%
D 20
 
5.2%
P 20
 
5.2%
M 20
 
5.2%
O 19
 
4.9%
G 18
 
4.6%
Other values (25) 133
34.3%
Common
ValueCountFrequency (%)
( 1997
41.7%
) 1974
41.2%
415
 
8.7%
. 103
 
2.2%
, 85
 
1.8%
2 80
 
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 25804
82.8%
ASCII 5174
 
16.6%
None 204
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1997
38.6%
) 1974
38.2%
415
 
8.0%
. 103
 
2.0%
, 85
 
1.6%
2 80
 
1.5%
1 61
 
1.2%
S 46
 
0.9%
C 33
 
0.6%
T 30
 
0.6%
Other values (45) 350
 
6.8%
Hangul
ValueCountFrequency (%)
1926
 
7.5%
987
 
3.8%
834
 
3.2%
821
 
3.2%
757
 
2.9%
665
 
2.6%
500
 
1.9%
494
 
1.9%
484
 
1.9%
482
 
1.9%
Other values (505) 17854
69.2%
None
ValueCountFrequency (%)
202
99.0%
2
 
1.0%

최종수정시점
Real number (ℝ)

Distinct4319
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0139975 × 1013
Minimum2.0001018 × 1013
Maximum2.0210531 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-18T07:31:34.937074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0001018 × 1013
5-th percentile2.0040628 × 1013
Q12.0091209 × 1013
median2.0151122 × 1013
Q32.0191128 × 1013
95-th percentile2.0210302 × 1013
Maximum2.0210531 × 1013
Range2.0951301 × 1011
Interquartile range (IQR)9.9919243 × 1010

Descriptive statistics

Standard deviation5.7663648 × 1010
Coefficient of variation (CV)0.002863144
Kurtosis-1.1506081
Mean2.0139975 × 1013
Median Absolute Deviation (MAD)4.920451 × 1010
Skewness-0.41867631
Sum8.700469 × 1016
Variance3.3250963 × 1021
MonotonicityNot monotonic
2024-04-18T07:31:35.074474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20200923085534 1
 
< 0.1%
20060404141535 1
 
< 0.1%
20040308171723 1
 
< 0.1%
20050512134739 1
 
< 0.1%
20180313180051 1
 
< 0.1%
20051116092237 1
 
< 0.1%
20081118133318 1
 
< 0.1%
20060725111559 1
 
< 0.1%
20130527145756 1
 
< 0.1%
Other values (4309) 4309
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 (%)
20210531174622 1
< 0.1%
20210531173302 1
< 0.1%
20210531170957 1
< 0.1%
20210531165448 1
< 0.1%
20210531100257 1
< 0.1%
20210528160957 1
< 0.1%
20210528150514 1
< 0.1%
20210528131628 1
< 0.1%
20210528102509 1
< 0.1%
20210528101719 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
I
2904 
U
1416 

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 2904
67.2%
U 1416
32.8%

Length

2024-04-18T07:31:35.191366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:31:35.290968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2904
67.2%
u 1416
32.8%
Distinct612
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
Minimum2018-09-01 23:59:59
Maximum2021-06-02 02:40:00
2024-04-18T07:31:35.405161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:31:35.528354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct423
Distinct (%)14.3%
Missing1372
Missing (%)31.8%
Memory size33.9 KiB
2024-04-18T07:31:35.766214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.184532
Min length2

Characters and Unicode

Total characters32972
Distinct characters296
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)6.5%

Sample

1st row비거주용 건물 건설업
2nd row부동산 임대업
3rd row우편 및 소포 송달업
4th row주거용 부동산 관리업
5th row병원
ValueCountFrequency (%)
제조업 1437
 
15.8%
기타 901
 
9.9%
797
 
8.7%
자동차 343
 
3.8%
가공업 303
 
3.3%
염색 285
 
3.1%
수리업 279
 
3.1%
섬유 262
 
2.9%
조립금속제품 238
 
2.6%
그외 210
 
2.3%
Other values (570) 4058
44.5%
2024-04-18T07:31:36.141622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6169
18.7%
2994
 
9.1%
2514
 
7.6%
1835
 
5.6%
1276
 
3.9%
1100
 
3.3%
977
 
3.0%
868
 
2.6%
821
 
2.5%
721
 
2.2%
Other values (286) 13697
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26645
80.8%
Space Separator 6169
 
18.7%
Other Punctuation 135
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2994
 
11.2%
2514
 
9.4%
1835
 
6.9%
1276
 
4.8%
1100
 
4.1%
977
 
3.7%
868
 
3.3%
821
 
3.1%
721
 
2.7%
603
 
2.3%
Other values (281) 12936
48.5%
Other Punctuation
ValueCountFrequency (%)
, 123
91.1%
· 7
 
5.2%
; 5
 
3.7%
Space Separator
ValueCountFrequency (%)
6169
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26645
80.8%
Common 6327
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2994
 
11.2%
2514
 
9.4%
1835
 
6.9%
1276
 
4.8%
1100
 
4.1%
977
 
3.7%
868
 
3.3%
821
 
3.1%
721
 
2.7%
603
 
2.3%
Other values (281) 12936
48.5%
Common
ValueCountFrequency (%)
6169
97.5%
, 123
 
1.9%
1 23
 
0.4%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26645
80.8%
ASCII 6320
 
19.2%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6169
97.6%
, 123
 
1.9%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2994
 
11.2%
2514
 
9.4%
1835
 
6.9%
1276
 
4.8%
1100
 
4.1%
977
 
3.7%
868
 
3.3%
821
 
3.1%
721
 
2.7%
603
 
2.3%
Other values (281) 12936
48.5%
None
ValueCountFrequency (%)
· 7
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2636
Distinct (%)78.0%
Missing939
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean337878.05
Minimum324827.06
Maximum357474.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-18T07:31:36.264124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328251.99
Q1335042.49
median338229.7
Q3340161.67
95-th percentile348263.13
Maximum357474.36
Range32647.303
Interquartile range (IQR)5119.1835

Descriptive statistics

Standard deviation5787.8419
Coefficient of variation (CV)0.017129973
Kurtosis1.4980717
Mean337878.05
Median Absolute Deviation (MAD)2835.6502
Skewness0.72613717
Sum1.1423657 × 109
Variance33499114
MonotonicityNot monotonic
2024-04-18T07:31:36.396033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336344.302039 11
 
0.3%
336366.064252 8
 
0.2%
336353.196287 8
 
0.2%
338653.414866 7
 
0.2%
339163.824109 7
 
0.2%
335898.647221 7
 
0.2%
336559.670287 7
 
0.2%
338853.934043 6
 
0.1%
339372.436369 6
 
0.1%
337148.956227 6
 
0.1%
Other values (2626) 3308
76.6%
(Missing) 939
 
21.7%
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 

Distinct2634
Distinct (%)77.9%
Missing939
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean261096.19
Minimum235850.45
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-18T07:31:36.518264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum235850.45
5-th percentile244783.98
Q1259897
median263039.87
Q3265762.67
95-th percentile267946.03
Maximum278091.65
Range42241.205
Interquartile range (IQR)5865.6688

Descriptive statistics

Standard deviation7010.4063
Coefficient of variation (CV)0.026849899
Kurtosis2.4711808
Mean261096.19
Median Absolute Deviation (MAD)2958.0925
Skewness-1.6547862
Sum8.8276623 × 108
Variance49145797
MonotonicityNot monotonic
2024-04-18T07:31:36.632340image/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%
263466.441258 7
 
0.2%
265188.870359 7
 
0.2%
258962.00812 7
 
0.2%
261730.820003 7
 
0.2%
263299.390649 6
 
0.1%
266176.21665 6
 
0.1%
260602.149585 6
 
0.1%
Other values (2624) 3308
76.6%
(Missing) 939
 
21.7%
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%
272229.951945 1
< 0.1%
271973.249974 2
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
대기배출업소관리
4320 

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 4320
100.0%

Length

2024-04-18T07:31:36.728696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:31:36.806678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 4320
100.0%

업종구분명
Text

MISSING 

Distinct423
Distinct (%)14.3%
Missing1372
Missing (%)31.8%
Memory size33.9 KiB
2024-04-18T07:31:37.027353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.184532
Min length2

Characters and Unicode

Total characters32972
Distinct characters296
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)6.5%

Sample

1st row비거주용 건물 건설업
2nd row부동산 임대업
3rd row우편 및 소포 송달업
4th row주거용 부동산 관리업
5th row병원
ValueCountFrequency (%)
제조업 1437
 
15.8%
기타 901
 
9.9%
797
 
8.7%
자동차 343
 
3.8%
가공업 303
 
3.3%
염색 285
 
3.1%
수리업 279
 
3.1%
섬유 262
 
2.9%
조립금속제품 238
 
2.6%
그외 210
 
2.3%
Other values (570) 4058
44.5%
2024-04-18T07:31:37.416813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6169
18.7%
2994
 
9.1%
2514
 
7.6%
1835
 
5.6%
1276
 
3.9%
1100
 
3.3%
977
 
3.0%
868
 
2.6%
821
 
2.5%
721
 
2.2%
Other values (286) 13697
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26645
80.8%
Space Separator 6169
 
18.7%
Other Punctuation 135
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2994
 
11.2%
2514
 
9.4%
1835
 
6.9%
1276
 
4.8%
1100
 
4.1%
977
 
3.7%
868
 
3.3%
821
 
3.1%
721
 
2.7%
603
 
2.3%
Other values (281) 12936
48.5%
Other Punctuation
ValueCountFrequency (%)
, 123
91.1%
· 7
 
5.2%
; 5
 
3.7%
Space Separator
ValueCountFrequency (%)
6169
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26645
80.8%
Common 6327
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2994
 
11.2%
2514
 
9.4%
1835
 
6.9%
1276
 
4.8%
1100
 
4.1%
977
 
3.7%
868
 
3.3%
821
 
3.1%
721
 
2.7%
603
 
2.3%
Other values (281) 12936
48.5%
Common
ValueCountFrequency (%)
6169
97.5%
, 123
 
1.9%
1 23
 
0.4%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26645
80.8%
ASCII 6320
 
19.2%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6169
97.6%
, 123
 
1.9%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2994
 
11.2%
2514
 
9.4%
1835
 
6.9%
1276
 
4.8%
1100
 
4.1%
977
 
3.7%
868
 
3.3%
821
 
3.1%
721
 
2.7%
603
 
2.3%
Other values (281) 12936
48.5%
None
ValueCountFrequency (%)
· 7
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
5종
2284 
4종
1423 
3종
 
205
<NA>
 
187
2종
 
183

Length

Max length4
Median length2
Mean length2.0865741
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2284
52.9%
4종 1423
32.9%
3종 205
 
4.7%
<NA> 187
 
4.3%
2종 183
 
4.2%
1종 38
 
0.9%

Length

2024-04-18T07:31:37.537291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:31:37.647454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2284
52.9%
4종 1423
32.9%
3종 205
 
4.7%
na 187
 
4.3%
2종 183
 
4.2%
1종 38
 
0.9%

주생산품명
Text

MISSING 

Distinct882
Distinct (%)62.5%
Missing2909
Missing (%)67.3%
Memory size33.9 KiB
2024-04-18T07:31:37.877664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length5.9433026
Min length1

Characters and Unicode

Total characters8386
Distinct characters455
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique710 ?
Unique (%)50.3%

Sample

1st row전력,온수
2nd row자동차용 고무제품
3rd row천연가스
4th row자동차용고무제품
5th row레미콘
ValueCountFrequency (%)
자동차부품 175
 
9.6%
자동차 42
 
2.3%
38
 
2.1%
안경테 31
 
1.7%
28
 
1.5%
부품 25
 
1.4%
전자부품 20
 
1.1%
가공원단 20
 
1.1%
고무시트 19
 
1.0%
재생칩 18
 
1.0%
Other values (914) 1407
77.2%
2024-04-18T07:31:38.779670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
509
 
6.1%
415
 
4.9%
412
 
4.9%
391
 
4.7%
348
 
4.1%
342
 
4.1%
167
 
2.0%
161
 
1.9%
134
 
1.6%
, 131
 
1.6%
Other values (445) 5376
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7348
87.6%
Space Separator 412
 
4.9%
Uppercase Letter 248
 
3.0%
Other Punctuation 145
 
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 (%)
509
 
6.9%
415
 
5.6%
391
 
5.3%
348
 
4.7%
342
 
4.7%
167
 
2.3%
161
 
2.2%
134
 
1.8%
125
 
1.7%
116
 
1.6%
Other values (388) 4640
63.1%
Uppercase Letter
ValueCountFrequency (%)
P 46
18.5%
E 37
14.9%
C 20
8.1%
L 20
8.1%
D 17
 
6.9%
T 16
 
6.5%
I 15
 
6.0%
O 14
 
5.6%
A 10
 
4.0%
R 10
 
4.0%
Other values (13) 43
17.3%
Lowercase Letter
ValueCountFrequency (%)
o 10
11.1%
i 9
10.0%
e 8
 
8.9%
t 8
 
8.9%
r 8
 
8.9%
l 7
 
7.8%
a 6
 
6.7%
c 5
 
5.6%
f 5
 
5.6%
n 3
 
3.3%
Other values (12) 21
23.3%
Other Punctuation
ValueCountFrequency (%)
, 131
90.3%
. 11
 
7.6%
/ 2
 
1.4%
& 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
0 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
412
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 7348
87.6%
Common 700
 
8.3%
Latin 338
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
509
 
6.9%
415
 
5.6%
391
 
5.3%
348
 
4.7%
342
 
4.7%
167
 
2.3%
161
 
2.2%
134
 
1.8%
125
 
1.7%
116
 
1.6%
Other values (388) 4640
63.1%
Latin
ValueCountFrequency (%)
P 46
 
13.6%
E 37
 
10.9%
C 20
 
5.9%
L 20
 
5.9%
D 17
 
5.0%
T 16
 
4.7%
I 15
 
4.4%
O 14
 
4.1%
A 10
 
3.0%
o 10
 
3.0%
Other values (35) 133
39.3%
Common
ValueCountFrequency (%)
412
58.9%
, 131
 
18.7%
) 67
 
9.6%
( 67
 
9.6%
. 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 7348
87.6%
ASCII 1037
 
12.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
509
 
6.9%
415
 
5.6%
391
 
5.3%
348
 
4.7%
342
 
4.7%
167
 
2.3%
161
 
2.2%
134
 
1.8%
125
 
1.7%
116
 
1.6%
Other values (388) 4640
63.1%
ASCII
ValueCountFrequency (%)
412
39.7%
, 131
 
12.6%
) 67
 
6.5%
( 67
 
6.5%
P 46
 
4.4%
E 37
 
3.6%
C 20
 
1.9%
L 20
 
1.9%
D 17
 
1.6%
T 16
 
1.5%
Other values (46) 204
19.7%
None
ValueCountFrequency (%)
1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct35
Distinct (%)0.8%
Missing59
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean7.7008801
Minimum0
Maximum912
Zeros1373
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-18T07:31:38.893072image/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 deviation15.650707
Coefficient of variation (CV)2.0323271
Kurtosis2617.2331
Mean7.7008801
Median Absolute Deviation (MAD)4
Skewness45.397057
Sum32813.45
Variance244.94463
MonotonicityNot monotonic
2024-04-18T07:31:38.996124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
8.0 1571
36.4%
0.0 1373
31.8%
24.0 438
 
10.1%
10.0 242
 
5.6%
6.0 84
 
1.9%
12.0 77
 
1.8%
5.0 62
 
1.4%
20.0 61
 
1.4%
4.0 58
 
1.3%
7.0 52
 
1.2%
Other values (25) 243
 
5.6%
(Missing) 59
 
1.4%
ValueCountFrequency (%)
0.0 1373
31.8%
1.0 11
 
0.3%
1.3 1
 
< 0.1%
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 58
 
1.3%
5.0 62
 
1.4%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
30.0 3
 
0.1%
25.0 2
 
< 0.1%
24.0 438
10.1%
22.0 13
 
0.3%
21.0 9
 
0.2%
20.0 61
 
1.4%
19.0 3
 
0.1%
18.0 6
 
0.1%
17.0 3
 
0.1%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct95
Distinct (%)2.2%
Missing64
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean197.47157
Minimum0
Maximum365
Zeros1387
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-18T07:31:39.106689image/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 deviation141.04646
Coefficient of variation (CV)0.71426209
Kurtosis-1.5178683
Mean197.47157
Median Absolute Deviation (MAD)0
Skewness-0.62889373
Sum840439
Variance19894.103
MonotonicityNot monotonic
2024-04-18T07:31:39.263000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2211
51.2%
0 1387
32.1%
240 74
 
1.7%
365 62
 
1.4%
312 41
 
0.9%
360 38
 
0.9%
250 34
 
0.8%
264 34
 
0.8%
180 26
 
0.6%
280 23
 
0.5%
Other values (85) 326
 
7.5%
(Missing) 64
 
1.5%
ValueCountFrequency (%)
0 1387
32.1%
8 2
 
< 0.1%
24 3
 
0.1%
25 2
 
< 0.1%
30 4
 
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 13
 
0.3%
341 2
 
< 0.1%
340 14
 
0.3%
338 1
 
< 0.1%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)0.9%
Missing444
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean7.3489293
Minimum0
Maximum360
Zeros1370
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-18T07:31:39.412863image/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 deviation11.196962
Coefficient of variation (CV)1.5236182
Kurtosis445.08156
Mean7.3489293
Median Absolute Deviation (MAD)4
Skewness16.192348
Sum28484.45
Variance125.37196
MonotonicityNot monotonic
2024-04-18T07:31:39.525758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
8.0 1416
32.8%
0.0 1370
31.7%
24.0 368
 
8.5%
10.0 197
 
4.6%
6.0 72
 
1.7%
12.0 61
 
1.4%
5.0 58
 
1.3%
20.0 51
 
1.2%
7.0 49
 
1.1%
4.0 44
 
1.0%
Other values (24) 190
 
4.4%
(Missing) 444
 
10.3%
ValueCountFrequency (%)
0.0 1370
31.7%
1.0 9
 
0.2%
1.3 1
 
< 0.1%
2.0 10
 
0.2%
3.0 13
 
0.3%
4.0 44
 
1.0%
5.0 58
 
1.3%
6.0 72
 
1.7%
7.0 49
 
1.1%
7.5 2
 
< 0.1%
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%
24.0 368
8.5%
22.0 10
 
0.2%
21.0 9
 
0.2%
20.0 51
 
1.2%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)2.2%
Missing407
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean191.18886
Minimum0
Maximum365
Zeros1377
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-18T07:31:39.648230image/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 deviation143.49842
Coefficient of variation (CV)0.75055847
Kurtosis-1.6418813
Mean191.18886
Median Absolute Deviation (MAD)0
Skewness-0.54092418
Sum748122
Variance20591.795
MonotonicityNot monotonic
2024-04-18T07:31:39.778193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2005
46.4%
0 1377
31.9%
240 62
 
1.4%
365 43
 
1.0%
312 41
 
0.9%
360 33
 
0.8%
250 31
 
0.7%
264 25
 
0.6%
280 22
 
0.5%
330 20
 
0.5%
Other values (75) 254
 
5.9%
(Missing) 407
 
9.4%
ValueCountFrequency (%)
0 1377
31.9%
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 12
 
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>
45대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001720151217<NA>1영업/정상11영업<NA><NA><NA><NA>0534288984<NA><NA><NA>대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)41913이지스티디에이치제32호사모부동사투자유한회사20201213124447U2020-12-15 02:40:00.0부동산 임대업344223.636477264597.611089대기배출업소관리부동산 임대업4종<NA>8.0300<NA><NA>
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67대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001920151217<NA>1영업/정상11영업<NA><NA><NA><NA>0532579663<NA><NA><NA>대구광역시 중구 달성로 37 (대신동, 계성빌딩)41927(학)계성학원20201026163350U2020-10-28 02:40:00.0<NA>342795.702037264290.451468대기배출업소관리<NA>5종<NA>5.01505.0<NA>
78대기오염물질배출시설설치사업장09_30_08_P341000034100002120150002120151221<NA>1영업/정상11영업<NA><NA><NA><NA>0532453107<NA><NA><NA>대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점)41936(주)현대백화점 대구점20201008095607U2020-10-10 02:40:00.0<NA>343588.735555264119.01075대기배출업소관리<NA>4종<NA>10.0240<NA><NA>
89대기오염물질배출시설설치사업장09_30_08_P341000034100002120150002220151221<NA>1영업/정상11영업<NA><NA><NA><NA>0534259811<NA><NA><NA>대구광역시 중구 중앙대로 418 (남일동, 우리은행)41937(주)우리은행 대구지점20201213125602U2020-12-15 02:40:00.0<NA>343902.069691264514.570586대기배출업소관리<NA>5종<NA>4.0120<NA><NA>
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43114312대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000420080221<NA>1영업/정상11영업<NA><NA><NA><NA>0535913707<NA><NA>대구광역시 달성군 구지면 예현리 768-15대구광역시 달성군 구지면 달성2차동3로 7<NA>삼성분말야금(주)20210131134334U2021-02-02 02:40:00.0분말야금제품 제조업329175.580143237863.093552대기배출업소관리분말야금제품 제조업5종자동차부품24.036024.0360
43124313대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000520080221<NA>1영업/정상11영업<NA><NA><NA><NA>0533534086<NA><NA>대구광역시 달성군 논공읍 상리 703번지대구광역시 달성군 논공읍 비슬로262길 75-15<NA>(주)케이에스티20191016100300U2019-10-18 02:40:00.0조립금속제품 제조업 기계 및 가구 제외327891.95051250891.065314대기배출업소관리조립금속제품 제조업 기계 및 가구 제외5종알루미늄파이프8.03008.0300
43134314대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000620080318<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 본리리 103-35번지대구광역시 달성군 논공읍 논공로87길 75<NA>(주)신화캐스팅20200524155408U2020-05-26 02:40:00.0선철주물 주조업332959.428756248782.732222대기배출업소관리선철주물 주조업4종주물제품6.03006.0300
43144315대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000720080318<NA>1영업/정상11영업<NA><NA><NA><NA>0536112233<NA><NA>대구광역시 달성군 구지면 예현리 758-6번지대구광역시 달성군 구지면 달성2차동1로 188711891(주)엠텍20191023141436U2019-10-25 02:40:00.0기타 화학제품 제조업328969.221689238905.478754대기배출업소관리기타 화학제품 제조업5종<NA>8.03008.0300
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