Overview

Dataset statistics

Number of variables36
Number of observations4219
Missing cells39796
Missing cells (%)26.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory308.0 B

Variable types

Numeric13
Categorical9
Unsupported5
Text8
DateTime1

Dataset

Description6270000_대구광역시_09_30_08_P_대기오염물질배출시설설치사업장_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086503&dataSetDetailId=DDI_0000086539&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 4219 (100.0%) missing valuesMissing
폐업일자 has 2434 (57.7%) missing valuesMissing
휴업시작일자 has 4219 (100.0%) missing valuesMissing
휴업종료일자 has 4219 (100.0%) missing valuesMissing
재개업일자 has 4219 (100.0%) missing valuesMissing
소재지전화 has 669 (15.9%) missing valuesMissing
소재지면적 has 4219 (100.0%) missing valuesMissing
소재지우편번호 has 3283 (77.8%) missing valuesMissing
소재지전체주소 has 121 (2.9%) missing valuesMissing
도로명전체주소 has 1051 (24.9%) missing valuesMissing
도로명우편번호 has 2576 (61.1%) missing valuesMissing
업태구분명 has 1391 (33.0%) missing valuesMissing
좌표정보(X) has 940 (22.3%) missing valuesMissing
좌표정보(Y) has 940 (22.3%) missing valuesMissing
업종구분명 has 1391 (33.0%) missing valuesMissing
주생산품명 has 2827 (67.0%) missing valuesMissing
배출시설조업시간 has 56 (1.3%) missing valuesMissing
배출시설연간가동일수 has 59 (1.4%) missing valuesMissing
방지시설조업시간 has 419 (9.9%) missing valuesMissing
방지시설연간가동일수 has 404 (9.6%) missing valuesMissing
배출시설조업시간 is highly skewed (γ1 = 44.99959863)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 1375 (32.6%) zerosZeros
배출시설연간가동일수 has 1389 (32.9%) zerosZeros
방지시설조업시간 has 1374 (32.6%) zerosZeros
방지시설연간가동일수 has 1381 (32.7%) zerosZeros

Reproduction

Analysis started2024-04-17 19:45:56.686235
Analysis finished2024-04-17 19:45:57.937238
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4219
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2110
Minimum1
Maximum4219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-18T04:45:57.992412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile211.9
Q11055.5
median2110
Q33164.5
95-th percentile4008.1
Maximum4219
Range4218
Interquartile range (IQR)2109

Descriptive statistics

Standard deviation1218.0647
Coefficient of variation (CV)0.57728186
Kurtosis-1.2
Mean2110
Median Absolute Deviation (MAD)1055
Skewness0
Sum8902090
Variance1483681.7
MonotonicityStrictly increasing
2024-04-18T04:45:58.093983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2804 1
 
< 0.1%
2806 1
 
< 0.1%
2807 1
 
< 0.1%
2808 1
 
< 0.1%
2809 1
 
< 0.1%
2810 1
 
< 0.1%
2811 1
 
< 0.1%
2812 1
 
< 0.1%
2813 1
 
< 0.1%
Other values (4209) 4209
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 (%)
4219 1
< 0.1%
4218 1
< 0.1%
4217 1
< 0.1%
4216 1
< 0.1%
4215 1
< 0.1%
4214 1
< 0.1%
4213 1
< 0.1%
4212 1
< 0.1%
4211 1
< 0.1%
4210 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
대기오염물질배출시설설치사업장
4219 

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 4219
100.0%

Length

2024-04-18T04:45:58.190468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:45:58.259362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 4219
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
09_30_08_P
4219 

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 4219
100.0%

Length

2024-04-18T04:45:58.332163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:45:58.404643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 4219
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3456406.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-18T04:45:58.467384image/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 deviation20460.129
Coefficient of variation (CV)0.0059194797
Kurtosis-1.3247299
Mean3456406.7
Median Absolute Deviation (MAD)10000
Skewness-0.49859175
Sum1.458258 × 1010
Variance4.1861689 × 108
MonotonicityIncreasing
2024-04-18T04:45:58.555252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1679
39.8%
3430000 1087
25.8%
3480000 693
16.4%
3450000 465
 
11.0%
3420000 166
 
3.9%
3460000 80
 
1.9%
3410000 31
 
0.7%
3440000 18
 
0.4%
ValueCountFrequency (%)
3410000 31
 
0.7%
3420000 166
 
3.9%
3430000 1087
25.8%
3440000 18
 
0.4%
3450000 465
 
11.0%
3460000 80
 
1.9%
3470000 1679
39.8%
3480000 693
16.4%
ValueCountFrequency (%)
3480000 693
16.4%
3470000 1679
39.8%
3460000 80
 
1.9%
3450000 465
 
11.0%
3440000 18
 
0.4%
3430000 1087
25.8%
3420000 166
 
3.9%
3410000 31
 
0.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct4219
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4564069 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-18T04:45:58.654721image/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 deviation2.0460129 × 1015
Coefficient of variation (CV)0.0059194793
Kurtosis-1.3247299
Mean3.4564069 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.49859175
Sum9.6530762 × 1017
Variance4.1861689 × 1030
MonotonicityNot monotonic
2024-04-18T04:45:58.779632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021202000001 1
 
< 0.1%
347000021200900027 1
 
< 0.1%
347000021201000001 1
 
< 0.1%
347000021201000007 1
 
< 0.1%
347000021201000008 1
 
< 0.1%
347000021201000009 1
 
< 0.1%
347000021201000010 1
 
< 0.1%
347000021201000011 1
 
< 0.1%
347000021201000012 1
 
< 0.1%
347000021201000013 1
 
< 0.1%
Other values (4209) 4209
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 (%)
348000021202000016 1
< 0.1%
348000021202000015 1
< 0.1%
348000021202000014 1
< 0.1%
348000021202000013 1
< 0.1%
348000021202000012 1
< 0.1%
348000021202000011 1
< 0.1%
348000021202000010 1
< 0.1%
348000021202000009 1
< 0.1%
348000021202000008 1
< 0.1%
348000021202000007 1
< 0.1%

인허가일자
Real number (ℝ)

MISSING 

Distinct2620
Distinct (%)64.2%
Missing140
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean20032048
Minimum19010101
Maximum20201029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-18T04:45:58.891508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19870212
Q119991008
median20040701
Q320120508
95-th percentile20180117
Maximum20201029
Range1190928
Interquartile range (IQR)129499.5

Descriptive statistics

Standard deviation147648.32
Coefficient of variation (CV)0.0073706055
Kurtosis26.862067
Mean20032048
Median Absolute Deviation (MAD)70317
Skewness-4.2676524
Sum8.1710722 × 1010
Variance2.1800027 × 1010
MonotonicityNot monotonic
2024-04-18T04:45:59.198769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040701 76
 
1.8%
19010101 52
 
1.2%
20040702 48
 
1.1%
20040621 36
 
0.9%
20040628 25
 
0.6%
20040630 24
 
0.6%
20120322 23
 
0.5%
19840210 18
 
0.4%
19940427 16
 
0.4%
20040603 13
 
0.3%
Other values (2610) 3748
88.8%
(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 (%)
20201029 1
 
< 0.1%
20201027 2
< 0.1%
20201023 1
 
< 0.1%
20201020 1
 
< 0.1%
20201015 3
0.1%
20201014 1
 
< 0.1%
20200929 1
 
< 0.1%
20200925 2
< 0.1%
20200924 1
 
< 0.1%
20200917 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4219
Missing (%)100.0%
Memory size37.2 KiB
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
3
1927 
1
1877 
4
406 
2
 
9

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 1927
45.7%
1 1877
44.5%
4 406
 
9.6%
2 9
 
0.2%

Length

2024-04-18T04:45:59.296910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:45:59.377718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1927
45.7%
1 1877
44.5%
4 406
 
9.6%
2 9
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
폐업
1927 
영업/정상
1877 
취소/말소/만료/정지/중지
406 
휴업
 
9

Length

Max length14
Median length5
Mean length4.4894525
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 1927
45.7%
영업/정상 1877
44.5%
취소/말소/만료/정지/중지 406
 
9.6%
휴업 9
 
0.2%

Length

2024-04-18T04:45:59.488245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:45:59.580578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1927
45.7%
영업/정상 1877
44.5%
취소/말소/만료/정지/중지 406
 
9.6%
휴업 9
 
0.2%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
2
1927 
11
1877 
4
406 
1
 
9

Length

Max length2
Median length1
Mean length1.4448922
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1927
45.7%
11 1877
44.5%
4 406
 
9.6%
1 9
 
0.2%

Length

2024-04-18T04:45:59.676634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:45:59.756462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1927
45.7%
11 1877
44.5%
4 406
 
9.6%
1 9
 
0.2%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
폐업
1927 
영업
1877 
폐쇄
406 
휴업
 
9

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 1927
45.7%
영업 1877
44.5%
폐쇄 406
 
9.6%
휴업 9
 
0.2%

Length

2024-04-18T04:45:59.838506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:45:59.916843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1927
45.7%
영업 1877
44.5%
폐쇄 406
 
9.6%
휴업 9
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct1127
Distinct (%)63.1%
Missing2434
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean20093953
Minimum19930721
Maximum20201026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-18T04:46:00.013297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930721
5-th percentile20030605
Q120050519
median20081008
Q320131015
95-th percentile20191027
Maximum20201026
Range270305
Interquartile range (IQR)80496

Descriptive statistics

Standard deviation52780.627
Coefficient of variation (CV)0.002626692
Kurtosis-0.74741895
Mean20093953
Median Absolute Deviation (MAD)39801
Skewness0.57246846
Sum3.5867707 × 1010
Variance2.7857946 × 109
MonotonicityNot monotonic
2024-04-18T04:46:00.131841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081118 69
 
1.6%
20081008 52
 
1.2%
20040701 38
 
0.9%
20081006 38
 
0.9%
20040907 21
 
0.5%
20091221 17
 
0.4%
20091216 11
 
0.3%
20091218 11
 
0.3%
20040630 10
 
0.2%
20040601 10
 
0.2%
Other values (1117) 1508
35.7%
(Missing) 2434
57.7%
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 (%)
20201026 1
< 0.1%
20201015 1
< 0.1%
20201014 1
< 0.1%
20201006 1
< 0.1%
20200929 1
< 0.1%
20200925 2
< 0.1%
20200924 1
< 0.1%
20200921 1
< 0.1%
20200917 1
< 0.1%
20200911 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4219
Missing (%)100.0%
Memory size37.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4219
Missing (%)100.0%
Memory size37.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4219
Missing (%)100.0%
Memory size37.2 KiB

소재지전화
Text

MISSING 

Distinct3308
Distinct (%)93.2%
Missing669
Missing (%)15.9%
Memory size33.1 KiB
2024-04-18T04:46:00.343535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.8985915
Min length3

Characters and Unicode

Total characters35140
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

Unique3092 ?
Unique (%)87.1%

Sample

1st row0534310803
2nd row593-3198
3rd row053-250-5555
4th row053-251-6019
5th row0534288984
ValueCountFrequency (%)
053 512
 
9.9%
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 (3272) 4215
81.8%
2024-04-18T04:46:00.656856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7259
20.7%
3 5287
15.0%
0 5140
14.6%
1 3184
9.1%
8 2603
 
7.4%
6 2495
 
7.1%
2 2120
 
6.0%
7 1700
 
4.8%
1612
 
4.6%
4 1609
 
4.6%
Other values (4) 2131
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32840
93.5%
Space Separator 1612
 
4.6%
Dash Punctuation 686
 
2.0%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7259
22.1%
3 5287
16.1%
0 5140
15.7%
1 3184
9.7%
8 2603
 
7.9%
6 2495
 
7.6%
2 2120
 
6.5%
7 1700
 
5.2%
4 1609
 
4.9%
9 1443
 
4.4%
Space Separator
ValueCountFrequency (%)
1612
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 686
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7259
20.7%
3 5287
15.0%
0 5140
14.6%
1 3184
9.1%
8 2603
 
7.4%
6 2495
 
7.1%
2 2120
 
6.0%
7 1700
 
4.8%
1612
 
4.6%
4 1609
 
4.6%
Other values (4) 2131
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7259
20.7%
3 5287
15.0%
0 5140
14.6%
1 3184
9.1%
8 2603
 
7.4%
6 2495
 
7.1%
2 2120
 
6.0%
7 1700
 
4.8%
1612
 
4.6%
4 1609
 
4.6%
Other values (4) 2131
 
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4219
Missing (%)100.0%
Memory size37.2 KiB

소재지우편번호
Text

MISSING 

Distinct117
Distinct (%)12.5%
Missing3283
Missing (%)77.8%
Memory size33.1 KiB
2024-04-18T04:46:00.844579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters5616
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
 
6.7%
703830 58
 
6.2%
704900 55
 
5.9%
711855 39
 
4.2%
704330 39
 
4.2%
704801 37
 
4.0%
704400 36
 
3.8%
704170 35
 
3.7%
703833 34
 
3.6%
704200 32
 
3.4%
Other values (107) 508
54.3%
2024-04-18T04:46:01.112716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1663
29.6%
7 1017
18.1%
4 672
12.0%
3 565
 
10.1%
1 520
 
9.3%
8 362
 
6.4%
9 233
 
4.1%
2 220
 
3.9%
5 151
 
2.7%
82
 
1.5%
Other values (4) 131
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5474
97.5%
Space Separator 82
 
1.5%
Lowercase Letter 60
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1663
30.4%
7 1017
18.6%
4 672
12.3%
3 565
 
10.3%
1 520
 
9.5%
8 362
 
6.6%
9 233
 
4.3%
2 220
 
4.0%
5 151
 
2.8%
6 71
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
l 30
50.0%
n 15
25.0%
u 15
25.0%
Space Separator
ValueCountFrequency (%)
82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5556
98.9%
Latin 60
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1663
29.9%
7 1017
18.3%
4 672
12.1%
3 565
 
10.2%
1 520
 
9.4%
8 362
 
6.5%
9 233
 
4.2%
2 220
 
4.0%
5 151
 
2.7%
82
 
1.5%
Latin
ValueCountFrequency (%)
l 30
50.0%
n 15
25.0%
u 15
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5616
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1663
29.6%
7 1017
18.1%
4 672
12.0%
3 565
 
10.1%
1 520
 
9.3%
8 362
 
6.4%
9 233
 
4.1%
2 220
 
3.9%
5 151
 
2.7%
82
 
1.5%
Other values (4) 131
 
2.3%

소재지전체주소
Text

MISSING 

Distinct3159
Distinct (%)77.1%
Missing121
Missing (%)2.9%
Memory size33.1 KiB
2024-04-18T04:46:01.402951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length22.494632
Min length13

Characters and Unicode

Total characters92183
Distinct characters214
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

Unique2524 ?
Unique (%)61.6%

Sample

1st row대구광역시 중구 동인동2가 74-15
2nd row대구광역시 중구 수창동 47-1번지
3rd row대구광역시 중구 덕산동 110번지
4th row대구광역시 중구 남일동 138-3 국민은행대구지점
5th row대구광역시 중구 대봉동 111-1번지
ValueCountFrequency (%)
대구광역시 4098
23.5%
달서구 1470
 
8.4%
서구 1069
 
6.1%
달성군 848
 
4.9%
북구 461
 
2.6%
이현동 382
 
2.2%
갈산동 369
 
2.1%
비산동 361
 
2.1%
논공읍 335
 
1.9%
중리동 275
 
1.6%
Other values (3234) 7771
44.6%
2024-04-18T04:46:01.802048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17454
18.9%
7504
 
8.1%
4383
 
4.8%
4100
 
4.4%
4099
 
4.4%
4099
 
4.4%
3748
 
4.1%
3540
 
3.8%
3525
 
3.8%
1 3524
 
3.8%
Other values (204) 36207
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53241
57.8%
Decimal Number 17885
 
19.4%
Space Separator 17454
 
18.9%
Dash Punctuation 3167
 
3.4%
Uppercase Letter 156
 
0.2%
Close Punctuation 125
 
0.1%
Open Punctuation 108
 
0.1%
Other Punctuation 42
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7504
14.1%
4383
 
8.2%
4100
 
7.7%
4099
 
7.7%
4099
 
7.7%
3748
 
7.0%
3540
 
6.6%
3525
 
6.6%
2577
 
4.8%
2321
 
4.4%
Other values (183) 13345
25.1%
Decimal Number
ValueCountFrequency (%)
1 3524
19.7%
2 2406
13.5%
0 2041
11.4%
3 2040
11.4%
4 1635
9.1%
5 1352
 
7.6%
6 1307
 
7.3%
9 1265
 
7.1%
7 1241
 
6.9%
8 1074
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 82
52.6%
L 69
44.2%
A 4
 
2.6%
C 1
 
0.6%
Space Separator
ValueCountFrequency (%)
17454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3167
100.0%
Close Punctuation
ValueCountFrequency (%)
) 125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 108
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53242
57.8%
Common 38781
42.1%
Latin 160
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7504
14.1%
4383
 
8.2%
4100
 
7.7%
4099
 
7.7%
4099
 
7.7%
3748
 
7.0%
3540
 
6.6%
3525
 
6.6%
2577
 
4.8%
2321
 
4.4%
Other values (184) 13346
25.1%
Common
ValueCountFrequency (%)
17454
45.0%
1 3524
 
9.1%
- 3167
 
8.2%
2 2406
 
6.2%
0 2041
 
5.3%
3 2040
 
5.3%
4 1635
 
4.2%
5 1352
 
3.5%
6 1307
 
3.4%
9 1265
 
3.3%
Other values (5) 2590
 
6.7%
Latin
ValueCountFrequency (%)
B 82
51.2%
L 69
43.1%
A 4
 
2.5%
b 4
 
2.5%
C 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53241
57.8%
ASCII 38941
42.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17454
44.8%
1 3524
 
9.0%
- 3167
 
8.1%
2 2406
 
6.2%
0 2041
 
5.2%
3 2040
 
5.2%
4 1635
 
4.2%
5 1352
 
3.5%
6 1307
 
3.4%
9 1265
 
3.2%
Other values (10) 2750
 
7.1%
Hangul
ValueCountFrequency (%)
7504
14.1%
4383
 
8.2%
4100
 
7.7%
4099
 
7.7%
4099
 
7.7%
3748
 
7.0%
3540
 
6.6%
3525
 
6.6%
2577
 
4.8%
2321
 
4.4%
Other values (183) 13345
25.1%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct2753
Distinct (%)86.9%
Missing1051
Missing (%)24.9%
Memory size33.1 KiB
2024-04-18T04:46:02.109358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length25.559343
Min length19

Characters and Unicode

Total characters80972
Distinct characters285
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

Unique2427 ?
Unique (%)76.6%

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 3168
 
19.7%
달서구 1017
 
6.3%
서구 825
 
5.1%
달성군 626
 
3.9%
북구 450
 
2.8%
논공읍 311
 
1.9%
이현동 280
 
1.7%
비산동 273
 
1.7%
노원동3가 252
 
1.6%
갈산동 242
 
1.5%
Other values (1605) 8629
53.7%
2024-04-18T04:46:02.581151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13627
 
16.8%
5987
 
7.4%
3699
 
4.6%
3179
 
3.9%
3173
 
3.9%
3171
 
3.9%
3082
 
3.8%
2986
 
3.7%
2931
 
3.6%
( 2639
 
3.3%
Other values (275) 36498
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49253
60.8%
Space Separator 13627
 
16.8%
Decimal Number 12108
 
15.0%
Open Punctuation 2639
 
3.3%
Close Punctuation 2639
 
3.3%
Dash Punctuation 526
 
0.6%
Other Punctuation 152
 
0.2%
Uppercase Letter 27
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5987
 
12.2%
3699
 
7.5%
3179
 
6.5%
3173
 
6.4%
3171
 
6.4%
3082
 
6.3%
2986
 
6.1%
2931
 
6.0%
2080
 
4.2%
2057
 
4.2%
Other values (250) 16908
34.3%
Decimal Number
ValueCountFrequency (%)
1 2277
18.8%
3 1731
14.3%
2 1701
14.0%
5 1111
9.2%
4 1072
8.9%
6 1007
8.3%
7 912
7.5%
9 823
 
6.8%
8 741
 
6.1%
0 733
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 10
37.0%
A 7
25.9%
L 3
 
11.1%
K 2
 
7.4%
G 1
 
3.7%
E 1
 
3.7%
C 1
 
3.7%
T 1
 
3.7%
S 1
 
3.7%
Space Separator
ValueCountFrequency (%)
13627
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2639
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2639
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 526
100.0%
Other Punctuation
ValueCountFrequency (%)
, 152
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49254
60.8%
Common 31691
39.1%
Latin 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5987
 
12.2%
3699
 
7.5%
3179
 
6.5%
3173
 
6.4%
3171
 
6.4%
3082
 
6.3%
2986
 
6.1%
2931
 
6.0%
2080
 
4.2%
2057
 
4.2%
Other values (251) 16909
34.3%
Common
ValueCountFrequency (%)
13627
43.0%
( 2639
 
8.3%
) 2639
 
8.3%
1 2277
 
7.2%
3 1731
 
5.5%
2 1701
 
5.4%
5 1111
 
3.5%
4 1072
 
3.4%
6 1007
 
3.2%
7 912
 
2.9%
Other values (5) 2975
 
9.4%
Latin
ValueCountFrequency (%)
B 10
37.0%
A 7
25.9%
L 3
 
11.1%
K 2
 
7.4%
G 1
 
3.7%
E 1
 
3.7%
C 1
 
3.7%
T 1
 
3.7%
S 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49253
60.8%
ASCII 31718
39.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13627
43.0%
( 2639
 
8.3%
) 2639
 
8.3%
1 2277
 
7.2%
3 1731
 
5.5%
2 1701
 
5.4%
5 1111
 
3.5%
4 1072
 
3.4%
6 1007
 
3.2%
7 912
 
2.9%
Other values (14) 3002
 
9.5%
Hangul
ValueCountFrequency (%)
5987
 
12.2%
3699
 
7.5%
3179
 
6.5%
3173
 
6.4%
3171
 
6.4%
3082
 
6.3%
2986
 
6.1%
2931
 
6.0%
2080
 
4.2%
2057
 
4.2%
Other values (250) 16908
34.3%
None
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct315
Distinct (%)19.2%
Missing2576
Missing (%)61.1%
Infinite0
Infinite (%)0.0%
Mean434648.22
Minimum41007
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-18T04:46:02.701953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41500
Q142705
median702816
Q3704833
95-th percentile711855
Maximum711892
Range670885
Interquartile range (IQR)662128

Descriptive statistics

Standard deviation326125.72
Coefficient of variation (CV)0.75032108
Kurtosis-1.8629792
Mean434648.22
Median Absolute Deviation (MAD)9007
Skewness-0.37287516
Sum7.1412703 × 108
Variance1.0635799 × 1011
MonotonicityNot monotonic
2024-04-18T04:46:02.810303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704900 89
 
2.1%
704801 78
 
1.8%
702815 51
 
1.2%
711855 45
 
1.1%
704833 44
 
1.0%
704190 42
 
1.0%
703830 35
 
0.8%
702872 33
 
0.8%
703825 29
 
0.7%
704920 29
 
0.7%
Other values (305) 1168
27.7%
(Missing) 2576
61.1%
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
0.5%
711857 16
0.4%
Distinct3596
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
2024-04-18T04:46:03.027959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.1829817
Min length2

Characters and Unicode

Total characters30305
Distinct characters567
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

Unique3099 ?
Unique (%)73.5%

Sample

1st row(주)케이티에스테이트
2nd row신일모터스
3rd row지알이전문투자형사모부동산투자신탁 제2호
4th row(주)국민은행 대구지점
5th row이지스티디에이치제32호사모부동사투자유한회사
ValueCountFrequency (%)
주식회사 51
 
1.1%
대구공장 24
 
0.5%
제2공장 20
 
0.4%
2공장 14
 
0.3%
10
 
0.2%
성서공장 10
 
0.2%
대구지점 8
 
0.2%
비산공장 7
 
0.2%
태성산업 7
 
0.2%
대구사업소 6
 
0.1%
Other values (3697) 4441
96.6%
2024-04-18T04:46:03.332017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1972
 
6.5%
) 1950
 
6.4%
1879
 
6.2%
973
 
3.2%
823
 
2.7%
785
 
2.6%
741
 
2.4%
636
 
2.1%
486
 
1.6%
477
 
1.6%
Other values (557) 19583
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25020
82.6%
Open Punctuation 1973
 
6.5%
Close Punctuation 1951
 
6.4%
Space Separator 379
 
1.3%
Uppercase Letter 374
 
1.2%
Other Punctuation 217
 
0.7%
Other Symbol 203
 
0.7%
Decimal Number 168
 
0.6%
Lowercase Letter 14
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1879
 
7.5%
973
 
3.9%
823
 
3.3%
785
 
3.1%
741
 
3.0%
636
 
2.5%
486
 
1.9%
477
 
1.9%
472
 
1.9%
466
 
1.9%
Other values (500) 17282
69.1%
Uppercase Letter
ValueCountFrequency (%)
S 44
 
11.8%
C 33
 
8.8%
T 30
 
8.0%
E 27
 
7.2%
K 21
 
5.6%
M 21
 
5.6%
P 20
 
5.3%
D 20
 
5.3%
O 20
 
5.3%
G 18
 
4.8%
Other values (15) 120
32.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
h 2
14.3%
o 1
 
7.1%
g 1
 
7.1%
n 1
 
7.1%
t 1
 
7.1%
a 1
 
7.1%
r 1
 
7.1%
c 1
 
7.1%
m 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 76
45.2%
1 57
33.9%
3 19
 
11.3%
8 6
 
3.6%
5 4
 
2.4%
6 3
 
1.8%
4 2
 
1.2%
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 (%)
( 1972
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1950
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
379
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 25223
83.2%
Common 4694
 
15.5%
Latin 388
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1879
 
7.4%
973
 
3.9%
823
 
3.3%
785
 
3.1%
741
 
2.9%
636
 
2.5%
486
 
1.9%
477
 
1.9%
472
 
1.9%
466
 
1.8%
Other values (501) 17485
69.3%
Latin
ValueCountFrequency (%)
S 44
 
11.3%
C 33
 
8.5%
T 30
 
7.7%
E 27
 
7.0%
K 21
 
5.4%
M 21
 
5.4%
P 20
 
5.2%
D 20
 
5.2%
O 20
 
5.2%
G 18
 
4.6%
Other values (25) 134
34.5%
Common
ValueCountFrequency (%)
( 1972
42.0%
) 1950
41.5%
379
 
8.1%
. 103
 
2.2%
, 85
 
1.8%
2 76
 
1.6%
1 57
 
1.2%
3 19
 
0.4%
& 17
 
0.4%
/ 7
 
0.1%
Other values (11) 29
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25020
82.6%
ASCII 5080
 
16.8%
None 205
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1972
38.8%
) 1950
38.4%
379
 
7.5%
. 103
 
2.0%
, 85
 
1.7%
2 76
 
1.5%
1 57
 
1.1%
S 44
 
0.9%
C 33
 
0.6%
T 30
 
0.6%
Other values (45) 351
 
6.9%
Hangul
ValueCountFrequency (%)
1879
 
7.5%
973
 
3.9%
823
 
3.3%
785
 
3.1%
741
 
3.0%
636
 
2.5%
486
 
1.9%
477
 
1.9%
472
 
1.9%
466
 
1.9%
Other values (500) 17282
69.1%
None
ValueCountFrequency (%)
203
99.0%
2
 
1.0%

최종수정시점
Real number (ℝ)

Distinct4218
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0135693 × 1013
Minimum2.0001018 × 1013
Maximum2.020103 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-18T04:46:03.450625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0001018 × 1013
5-th percentile2.0040625 × 1013
Q12.0090927 × 1013
median2.0150619 × 1013
Q32.0190227 × 1013
95-th percentile2.0200826 × 1013
Maximum2.020103 × 1013
Range2.0001199 × 1011
Interquartile range (IQR)9.9300004 × 1010

Descriptive statistics

Standard deviation5.493464 × 1010
Coefficient of variation (CV)0.002728222
Kurtosis-1.1141174
Mean2.0135693 × 1013
Median Absolute Deviation (MAD)4.028893 × 1010
Skewness-0.43769282
Sum8.4952487 × 1016
Variance3.0178147 × 1021
MonotonicityNot monotonic
2024-04-18T04:46:03.597158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20200923085534 1
 
< 0.1%
20190321154749 1
 
< 0.1%
20130725141956 1
 
< 0.1%
20181227150654 1
 
< 0.1%
20130924171859 1
 
< 0.1%
20151218095948 1
 
< 0.1%
20120726151150 1
 
< 0.1%
20130422181221 1
 
< 0.1%
20111220171352 1
 
< 0.1%
Other values (4208) 4208
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 (%)
20201030153944 1
< 0.1%
20201030132846 1
< 0.1%
20201030114105 1
< 0.1%
20201030113952 1
< 0.1%
20201029174657 1
< 0.1%
20201029170707 1
< 0.1%
20201029153924 1
< 0.1%
20201029143646 1
< 0.1%
20201028144529 1
< 0.1%
20201028143456 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
I
3055 
U
1164 

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 3055
72.4%
U 1164
 
27.6%

Length

2024-04-18T04:46:03.697269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:46:03.771950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3055
72.4%
u 1164
 
27.6%
Distinct508
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
Minimum2018-09-01 23:59:59
Maximum2020-11-01 02:40:00
2024-04-18T04:46:03.855590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:46:03.957362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct410
Distinct (%)14.5%
Missing1391
Missing (%)33.0%
Memory size33.1 KiB
2024-04-18T04:46:04.218357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.269802
Min length2

Characters and Unicode

Total characters31871
Distinct characters293
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique184 ?
Unique (%)6.5%

Sample

1st row비거주용 건물 건설업
2nd row부동산 임대업
3rd row우편 및 소포 송달업
4th row백화점
5th row주거용 부동산 관리업
ValueCountFrequency (%)
제조업 1407
 
16.0%
기타 881
 
10.0%
782
 
8.9%
자동차 328
 
3.7%
가공업 302
 
3.4%
염색 284
 
3.2%
수리업 268
 
3.0%
섬유 261
 
3.0%
조립금속제품 232
 
2.6%
그외 206
 
2.3%
Other values (552) 3855
43.8%
2024-04-18T04:46:04.600304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5980
18.8%
2880
 
9.0%
2465
 
7.7%
1800
 
5.6%
1245
 
3.9%
1076
 
3.4%
953
 
3.0%
849
 
2.7%
803
 
2.5%
685
 
2.1%
Other values (283) 13135
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25736
80.8%
Space Separator 5980
 
18.8%
Other Punctuation 132
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2880
 
11.2%
2465
 
9.6%
1800
 
7.0%
1245
 
4.8%
1076
 
4.2%
953
 
3.7%
849
 
3.3%
803
 
3.1%
685
 
2.7%
592
 
2.3%
Other values (278) 12388
48.1%
Other Punctuation
ValueCountFrequency (%)
, 120
90.9%
· 7
 
5.3%
; 5
 
3.8%
Space Separator
ValueCountFrequency (%)
5980
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25736
80.8%
Common 6135
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2880
 
11.2%
2465
 
9.6%
1800
 
7.0%
1245
 
4.8%
1076
 
4.2%
953
 
3.7%
849
 
3.3%
803
 
3.1%
685
 
2.7%
592
 
2.3%
Other values (278) 12388
48.1%
Common
ValueCountFrequency (%)
5980
97.5%
, 120
 
2.0%
1 23
 
0.4%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25736
80.8%
ASCII 6128
 
19.2%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5980
97.6%
, 120
 
2.0%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2880
 
11.2%
2465
 
9.6%
1800
 
7.0%
1245
 
4.8%
1076
 
4.2%
953
 
3.7%
849
 
3.3%
803
 
3.1%
685
 
2.7%
592
 
2.3%
Other values (278) 12388
48.1%
None
ValueCountFrequency (%)
· 7
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2548
Distinct (%)77.7%
Missing940
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean337807.22
Minimum324827.06
Maximum357474.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-18T04:46:04.711523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328284.41
Q1335041.97
median337960.36
Q3340012.25
95-th percentile348179.15
Maximum357474.36
Range32647.303
Interquartile range (IQR)4970.2795

Descriptive statistics

Standard deviation5711.586
Coefficient of variation (CV)0.016907827
Kurtosis1.705978
Mean337807.22
Median Absolute Deviation (MAD)2662.4557
Skewness0.78007986
Sum1.1076699 × 109
Variance32622215
MonotonicityNot monotonic
2024-04-18T04:46:04.812304image/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%
335898.647221 7
 
0.2%
338653.414866 7
 
0.2%
339163.824109 7
 
0.2%
336559.670287 7
 
0.2%
337148.956227 6
 
0.1%
338853.934043 6
 
0.1%
339372.436369 6
 
0.1%
Other values (2538) 3206
76.0%
(Missing) 940
 
22.3%
ValueCountFrequency (%)
324827.061698 1
< 0.1%
325693.930075 1
< 0.1%
325695.119708 1
< 0.1%
325759.027963 1
< 0.1%
325796.946031 1
< 0.1%
325797.948919 1
< 0.1%
325801.723212 1
< 0.1%
325866.841016 1
< 0.1%
325886.496212 1
< 0.1%
325928.444036 1
< 0.1%
ValueCountFrequency (%)
357474.36475 1
 
< 0.1%
357249.517998 1
 
< 0.1%
357183.0049 1
 
< 0.1%
356288.780361 1
 
< 0.1%
355939.362329 1
 
< 0.1%
355715.873404 2
< 0.1%
355708.657238 1
 
< 0.1%
355569.867912 1
 
< 0.1%
355558.233247 3
0.1%
355557.42313 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2546
Distinct (%)77.6%
Missing940
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean261101.97
Minimum235850.45
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-18T04:46:04.916716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum235850.45
5-th percentile247996.41
Q1259896.72
median262953.91
Q3265726.21
95-th percentile267905.93
Maximum278091.65
Range42241.205
Interquartile range (IQR)5829.4863

Descriptive statistics

Standard deviation6937.6319
Coefficient of variation (CV)0.026570585
Kurtosis2.5214948
Mean261101.97
Median Absolute Deviation (MAD)2921.1654
Skewness-1.6618995
Sum8.5615335 × 108
Variance48130737
MonotonicityNot monotonic
2024-04-18T04:46:05.016759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261497.640906 11
 
0.3%
261562.315791 8
 
0.2%
261651.801477 8
 
0.2%
258962.00812 7
 
0.2%
263466.441258 7
 
0.2%
265188.870359 7
 
0.2%
261730.820003 7
 
0.2%
260602.149585 6
 
0.1%
263299.390649 6
 
0.1%
266176.21665 6
 
0.1%
Other values (2536) 3206
76.0%
(Missing) 940
 
22.3%
ValueCountFrequency (%)
235850.448165 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%
237833.64806 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 1
< 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 size33.1 KiB
대기배출업소관리
4219 

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 4219
100.0%

Length

2024-04-18T04:46:05.103054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:46:05.172873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 4219
100.0%

업종구분명
Text

MISSING 

Distinct410
Distinct (%)14.5%
Missing1391
Missing (%)33.0%
Memory size33.1 KiB
2024-04-18T04:46:05.403893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.269802
Min length2

Characters and Unicode

Total characters31871
Distinct characters293
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique184 ?
Unique (%)6.5%

Sample

1st row비거주용 건물 건설업
2nd row부동산 임대업
3rd row우편 및 소포 송달업
4th row백화점
5th row주거용 부동산 관리업
ValueCountFrequency (%)
제조업 1407
 
16.0%
기타 881
 
10.0%
782
 
8.9%
자동차 328
 
3.7%
가공업 302
 
3.4%
염색 284
 
3.2%
수리업 268
 
3.0%
섬유 261
 
3.0%
조립금속제품 232
 
2.6%
그외 206
 
2.3%
Other values (552) 3855
43.8%
2024-04-18T04:46:05.772979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5980
18.8%
2880
 
9.0%
2465
 
7.7%
1800
 
5.6%
1245
 
3.9%
1076
 
3.4%
953
 
3.0%
849
 
2.7%
803
 
2.5%
685
 
2.1%
Other values (283) 13135
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25736
80.8%
Space Separator 5980
 
18.8%
Other Punctuation 132
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2880
 
11.2%
2465
 
9.6%
1800
 
7.0%
1245
 
4.8%
1076
 
4.2%
953
 
3.7%
849
 
3.3%
803
 
3.1%
685
 
2.7%
592
 
2.3%
Other values (278) 12388
48.1%
Other Punctuation
ValueCountFrequency (%)
, 120
90.9%
· 7
 
5.3%
; 5
 
3.8%
Space Separator
ValueCountFrequency (%)
5980
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25736
80.8%
Common 6135
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2880
 
11.2%
2465
 
9.6%
1800
 
7.0%
1245
 
4.8%
1076
 
4.2%
953
 
3.7%
849
 
3.3%
803
 
3.1%
685
 
2.7%
592
 
2.3%
Other values (278) 12388
48.1%
Common
ValueCountFrequency (%)
5980
97.5%
, 120
 
2.0%
1 23
 
0.4%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25736
80.8%
ASCII 6128
 
19.2%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5980
97.6%
, 120
 
2.0%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2880
 
11.2%
2465
 
9.6%
1800
 
7.0%
1245
 
4.8%
1076
 
4.2%
953
 
3.7%
849
 
3.3%
803
 
3.1%
685
 
2.7%
592
 
2.3%
Other values (278) 12388
48.1%
None
ValueCountFrequency (%)
· 7
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
5종
2229 
4종
1375 
3종
 
204
<NA>
 
187
2종
 
184

Length

Max length4
Median length2
Mean length2.0886466
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2229
52.8%
4종 1375
32.6%
3종 204
 
4.8%
<NA> 187
 
4.4%
2종 184
 
4.4%
1종 40
 
0.9%

Length

2024-04-18T04:46:06.152111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:46:06.241162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2229
52.8%
4종 1375
32.6%
3종 204
 
4.8%
na 187
 
4.4%
2종 184
 
4.4%
1종 40
 
0.9%

주생산품명
Text

MISSING 

Distinct870
Distinct (%)62.5%
Missing2827
Missing (%)67.0%
Memory size33.1 KiB
2024-04-18T04:46:06.458552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length5.9439655
Min length1

Characters and Unicode

Total characters8274
Distinct characters456
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

Unique701 ?
Unique (%)50.4%

Sample

1st row전력,온수
2nd row수리된 자동차
3rd row자동차용 고무제품
4th row천연가스
5th row자동차용고무제품
ValueCountFrequency (%)
자동차부품 175
 
9.7%
자동차 43
 
2.4%
37
 
2.1%
안경테 29
 
1.6%
27
 
1.5%
부품 25
 
1.4%
전자부품 20
 
1.1%
가공원단 20
 
1.1%
고무시트 19
 
1.1%
자동차정비 17
 
0.9%
Other values (898) 1383
77.0%
2024-04-18T04:46:06.812038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
506
 
6.1%
414
 
5.0%
403
 
4.9%
393
 
4.7%
351
 
4.2%
345
 
4.2%
163
 
2.0%
162
 
2.0%
135
 
1.6%
, 128
 
1.5%
Other values (446) 5274
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7242
87.5%
Space Separator 403
 
4.9%
Uppercase Letter 244
 
2.9%
Other Punctuation 142
 
1.7%
Lowercase Letter 79
 
1.0%
Open Punctuation 66
 
0.8%
Close Punctuation 66
 
0.8%
Decimal Number 25
 
0.3%
Dash Punctuation 6
 
0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
506
 
7.0%
414
 
5.7%
393
 
5.4%
351
 
4.8%
345
 
4.8%
163
 
2.3%
162
 
2.2%
135
 
1.9%
126
 
1.7%
113
 
1.6%
Other values (385) 4534
62.6%
Uppercase Letter
ValueCountFrequency (%)
P 45
18.4%
E 38
15.6%
C 21
8.6%
L 18
 
7.4%
D 17
 
7.0%
T 16
 
6.6%
I 15
 
6.1%
O 14
 
5.7%
R 10
 
4.1%
S 8
 
3.3%
Other values (12) 42
17.2%
Lowercase Letter
ValueCountFrequency (%)
o 9
11.4%
r 8
10.1%
e 8
10.1%
i 7
 
8.9%
t 7
 
8.9%
l 6
 
7.6%
f 5
 
6.3%
a 5
 
6.3%
u 3
 
3.8%
n 3
 
3.8%
Other values (11) 18
22.8%
Decimal Number
ValueCountFrequency (%)
1 6
24.0%
0 5
20.0%
6 4
16.0%
8 3
12.0%
2 2
 
8.0%
5 2
 
8.0%
9 1
 
4.0%
7 1
 
4.0%
4 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 128
90.1%
. 11
 
7.7%
/ 2
 
1.4%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
403
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7242
87.5%
Common 709
 
8.6%
Latin 323
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
506
 
7.0%
414
 
5.7%
393
 
5.4%
351
 
4.8%
345
 
4.8%
163
 
2.3%
162
 
2.2%
135
 
1.9%
126
 
1.7%
113
 
1.6%
Other values (385) 4534
62.6%
Latin
ValueCountFrequency (%)
P 45
 
13.9%
E 38
 
11.8%
C 21
 
6.5%
L 18
 
5.6%
D 17
 
5.3%
T 16
 
5.0%
I 15
 
4.6%
O 14
 
4.3%
R 10
 
3.1%
o 9
 
2.8%
Other values (33) 120
37.2%
Common
ValueCountFrequency (%)
403
56.8%
, 128
 
18.1%
( 66
 
9.3%
) 66
 
9.3%
. 11
 
1.6%
1 6
 
0.8%
- 6
 
0.8%
0 5
 
0.7%
6 4
 
0.6%
8 3
 
0.4%
Other values (8) 11
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7242
87.5%
ASCII 1031
 
12.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
506
 
7.0%
414
 
5.7%
393
 
5.4%
351
 
4.8%
345
 
4.8%
163
 
2.3%
162
 
2.2%
135
 
1.9%
126
 
1.7%
113
 
1.6%
Other values (385) 4534
62.6%
ASCII
ValueCountFrequency (%)
403
39.1%
, 128
 
12.4%
( 66
 
6.4%
) 66
 
6.4%
P 45
 
4.4%
E 38
 
3.7%
C 21
 
2.0%
L 18
 
1.7%
D 17
 
1.6%
T 16
 
1.6%
Other values (50) 213
20.7%
None
ValueCountFrequency (%)
1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct33
Distinct (%)0.8%
Missing56
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean7.6619385
Minimum0
Maximum912
Zeros1375
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-18T04:46:06.921316image/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 deviation15.819656
Coefficient of variation (CV)2.0647068
Kurtosis2566.7108
Mean7.6619385
Median Absolute Deviation (MAD)4
Skewness44.999599
Sum31896.65
Variance250.26152
MonotonicityNot monotonic
2024-04-18T04:46:07.013579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
8.0 1513
35.9%
0.0 1375
32.6%
24.0 434
 
10.3%
10.0 230
 
5.5%
6.0 84
 
2.0%
12.0 73
 
1.7%
5.0 61
 
1.4%
20.0 59
 
1.4%
4.0 55
 
1.3%
7.0 53
 
1.3%
Other values (23) 226
 
5.4%
(Missing) 56
 
1.3%
ValueCountFrequency (%)
0.0 1375
32.6%
1.0 12
 
0.3%
1.5 1
 
< 0.1%
2.0 13
 
0.3%
2.5 1
 
< 0.1%
3.0 19
 
0.5%
3.5 1
 
< 0.1%
4.0 55
 
1.3%
5.0 61
 
1.4%
6.0 84
 
2.0%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
30.0 3
 
0.1%
25.0 2
 
< 0.1%
24.0 434
10.3%
22.0 13
 
0.3%
21.0 9
 
0.2%
20.0 59
 
1.4%
19.0 3
 
0.1%
18.0 6
 
0.1%
17.0 3
 
0.1%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct92
Distinct (%)2.2%
Missing59
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean195.47139
Minimum0
Maximum365
Zeros1389
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-18T04:46:07.109461image/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 deviation141.89562
Coefficient of variation (CV)0.72591499
Kurtosis-1.5619841
Mean195.47139
Median Absolute Deviation (MAD)0
Skewness-0.59985697
Sum813161
Variance20134.366
MonotonicityNot monotonic
2024-04-18T04:46:07.210481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2158
51.1%
0 1389
32.9%
240 65
 
1.5%
365 55
 
1.3%
312 40
 
0.9%
360 34
 
0.8%
264 32
 
0.8%
250 30
 
0.7%
180 26
 
0.6%
280 23
 
0.5%
Other values (82) 308
 
7.3%
(Missing) 59
 
1.4%
ValueCountFrequency (%)
0 1389
32.9%
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 55
1.3%
362 1
 
< 0.1%
361 2
 
< 0.1%
360 34
0.8%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 14
 
0.3%
341 1
 
< 0.1%
340 14
 
0.3%
338 1
 
< 0.1%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)0.8%
Missing419
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean7.2983289
Minimum0
Maximum360
Zeros1374
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-18T04:46:07.304631image/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 deviation11.295422
Coefficient of variation (CV)1.5476723
Kurtosis438.61618
Mean7.2983289
Median Absolute Deviation (MAD)6
Skewness16.098782
Sum27733.65
Variance127.58655
MonotonicityNot monotonic
2024-04-18T04:46:07.397338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 1374
32.6%
8.0 1367
32.4%
24.0 367
 
8.7%
10.0 189
 
4.5%
6.0 69
 
1.6%
12.0 58
 
1.4%
5.0 57
 
1.4%
7.0 49
 
1.2%
20.0 47
 
1.1%
16.0 42
 
1.0%
Other values (22) 181
 
4.3%
(Missing) 419
 
9.9%
ValueCountFrequency (%)
0.0 1374
32.6%
1.0 10
 
0.2%
2.0 10
 
0.2%
3.0 13
 
0.3%
4.0 42
 
1.0%
5.0 57
 
1.4%
6.0 69
 
1.6%
7.0 49
 
1.2%
7.5 2
 
< 0.1%
8.0 1367
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
8.7%
22.0 10
 
0.2%
21.0 9
 
0.2%
20.0 47
 
1.1%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct80
Distinct (%)2.1%
Missing404
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean188.52844
Minimum0
Maximum365
Zeros1381
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-18T04:46:07.510386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile307
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation144.38795
Coefficient of variation (CV)0.76586827
Kurtosis-1.6893584
Mean188.52844
Median Absolute Deviation (MAD)0
Skewness-0.50455808
Sum719236
Variance20847.88
MonotonicityNot monotonic
2024-04-18T04:46:07.611338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 1951
46.2%
0 1381
32.7%
240 52
 
1.2%
312 40
 
0.9%
365 33
 
0.8%
360 30
 
0.7%
250 27
 
0.6%
264 23
 
0.5%
280 22
 
0.5%
330 18
 
0.4%
Other values (70) 238
 
5.6%
(Missing) 404
 
9.6%
ValueCountFrequency (%)
0 1381
32.7%
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 33
0.8%
362 1
 
< 0.1%
361 1
 
< 0.1%
360 30
0.7%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 13
 
0.3%
341 1
 
< 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 110번지대구광역시 중구 달구벌대로 2095 (덕산동)41936지알이전문투자형사모부동산투자신탁 제2호20190923205740U2019-09-25 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)41913이지스티디에이치제32호사모부동사투자유한회사20190923085954U2019-09-25 02:40:00.0부동산 임대업344223.636477264597.611089대기배출업소관리부동산 임대업4종<NA>6.0240<NA><NA>
56대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001820151217<NA>1영업/정상11영업<NA><NA><NA><NA>0532502000<NA><NA><NA>대구광역시 중구 경상감영길 80 (포정동, 대구우체국)41918대구우체국20191122171754U2019-11-26 02:40:00.0우편 및 소포 송달업343687.68301264634.313879대기배출업소관리우편 및 소포 송달업5종<NA>4.0100<NA><NA>
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_P341000034100002120150002020151217<NA>1영업/정상11영업<NA><NA><NA><NA>0534299111<NA><NA><NA>대구광역시 중구 동성로 30 (동성로2가, 대구백화점건물)41938(주)대구백화점20151217130354I2018-10-04 11:12:49.0백화점344047.979265264405.128696대기배출업소관리백화점5종<NA>6.0180<NA><NA>
89대기오염물질배출시설설치사업장09_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>
910대기오염물질배출시설설치사업장09_30_08_P341000034100002120150002220151221<NA>1영업/정상11영업<NA><NA><NA><NA>0534259811<NA><NA><NA>대구광역시 중구 중앙대로 418 (남일동, 우리은행)41937(주)우리은행 대구지점20190108083537U2019-01-10 02:40:00.0<NA>343902.069691264514.570586대기배출업소관리<NA>5종<NA>4.0120<NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
42094210대기오염물질배출시설설치사업장09_30_08_P348000034800002120200001120200723<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 원교리 794-2대구광역시 달성군 현풍읍 현풍서로 12243002(주)월드환경개발20201016173909U2020-10-18 02:40:00.0비금속원료 재생업328862.176441244760.02006대기배출업소관리비금속원료 재생업5종도로공사용 순환골재8.03008.0300
42104211대기오염물질배출시설설치사업장09_30_08_P348000034800002120200001320200818<NA>1영업/정상11영업<NA><NA><NA><NA>053-615-0506<NA><NA>대구광역시 달성군 구지면 예현리 757-12 (주)영완대구광역시 달성군 구지면 달성2차로 221 (주)영완43013(사)한국지체장애인협회 달성군장애인재활자립작업장20200820172608U2020-08-22 02:40:00.0플라스틱 포대, 봉투 및 유사제품 제조업329332.672465238819.915072대기배출업소관리플라스틱 포대, 봉투 및 유사제품 제조업5종종량제 봉투 등8.02408.0240
42114212대기오염물질배출시설설치사업장09_30_08_P348000034800002120160001420161019<NA>1영업/정상11영업<NA><NA><NA><NA>0536160387<NA><NA>대구광역시 달성군 구지면 예현리 760-3번지대구광역시 달성군 구지면 달성2차4로 7543013비티(주) 제2공장20180920153114U2018-09-20 23:59:59.0그외 기타 자동차 부품 제조업328896.087037238535.276618대기배출업소관리그외 기타 자동차 부품 제조업2종브레이크 패드16.030016.0300
42124213대기오염물질배출시설설치사업장09_30_08_P348000034800002119840000819841218<NA>1영업/정상11영업<NA><NA><NA><NA>0536112534<NA><NA>대구광역시 달성군 논공읍 금포리 728대구광역시 달성군 논공읍 비슬로361길 69<NA>(주)선일로에스20200707195911U2020-07-09 02:40:00.0콘크리트 타일, 기와, 벽돌 및 블록 제조업328467.9557254449.751193대기배출업소관리콘크리트 타일, 기와, 벽돌 및 블록 제조업4종적벽돌벽24.030024.0300
42134214대기오염물질배출시설설치사업장09_30_08_P348000034800002120130003220131212<NA>1영업/정상11영업<NA><NA><NA><NA>0535824420<NA><NA>대구광역시 달성군 하빈면 봉촌리 1044대구광역시 달성군 하빈면 하빈남로 438-16711823한국프라스틱(주)20200914181504U2020-09-16 02:40:00.0주형 및 금형 제조업325886.496212263537.964136대기배출업소관리주형 및 금형 제조업5종파렛트 등8.0300<NA><NA>
42144215대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000420080221<NA>1영업/정상11영업<NA><NA><NA><NA>0535913707<NA><NA>대구광역시 달성군 구지면 예현리 768-15번지대구광역시 달성군 구지면 달성2차동3로 7<NA>삼성분말야금(주)20160627102005I2018-10-04 11:12:49.0분말야금제품 제조업329175.580143237863.093552대기배출업소관리분말야금제품 제조업5종자동차부품24.036024.0360
42154216대기오염물질배출시설설치사업장09_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
42164217대기오염물질배출시설설치사업장09_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
42174218대기오염물질배출시설설치사업장09_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
42184219대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000920080404<NA>1영업/정상11영업<NA><NA><NA><NA>0536119350<NA><NA>대구광역시 달성군 구지면 내리 847-10번지대구광역시 달성군 구지면 달성2차4로 59<NA>텍산(주)20191017203730U2019-10-19 02:40:00.0금속 열처리업328742.127143238572.966182대기배출업소관리금속 열처리업5종무한궤도24.030024.0300