Overview

Dataset statistics

Number of variables37
Number of observations5039
Missing cells51870
Missing cells (%)27.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory317.0 B

Variable types

Numeric13
Categorical9
Unsupported6
Text8
DateTime1

Dataset

Description6270000_대구광역시_09_30_08_P_대기오염물질배출시설설치사업장_1월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092273&dataSetDetailId=DDI_0000092309&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
환경업무구분명 has constant value ""Constant
인허가취소일자 has 5039 (100.0%) missing valuesMissing
폐업일자 has 2597 (51.5%) missing valuesMissing
휴업시작일자 has 5039 (100.0%) missing valuesMissing
휴업종료일자 has 5039 (100.0%) missing valuesMissing
재개업일자 has 5039 (100.0%) missing valuesMissing
소재지전화 has 621 (12.3%) missing valuesMissing
소재지면적 has 5039 (100.0%) missing valuesMissing
소재지우편번호 has 3837 (76.1%) missing valuesMissing
소재지전체주소 has 117 (2.3%) missing valuesMissing
도로명전체주소 has 1213 (24.1%) missing valuesMissing
도로명우편번호 has 3172 (62.9%) missing valuesMissing
업태구분명 has 1689 (33.5%) missing valuesMissing
좌표정보(X) has 1093 (21.7%) missing valuesMissing
좌표정보(Y) has 1093 (21.7%) missing valuesMissing
업종구분명 has 1689 (33.5%) missing valuesMissing
주생산품명 has 3558 (70.6%) missing valuesMissing
배출시설조업시간 has 63 (1.3%) missing valuesMissing
배출시설연간가동일수 has 65 (1.3%) missing valuesMissing
방지시설조업시간 has 453 (9.0%) missing valuesMissing
방지시설연간가동일수 has 376 (7.5%) missing valuesMissing
사업자등록번호 has 5039 (100.0%) missing valuesMissing
폐업일자 is highly skewed (γ1 = -47.89502632)Skewed
배출시설조업시간 is highly skewed (γ1 = 44.26021698)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
사업자등록번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 has 1530 (30.4%) zerosZeros
배출시설연간가동일수 has 1548 (30.7%) zerosZeros
방지시설조업시간 has 1559 (30.9%) zerosZeros
방지시설연간가동일수 has 1605 (31.9%) zerosZeros

Reproduction

Analysis started2024-04-18 07:32:58.497535
Analysis finished2024-04-18 07:33:00.158580
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5039
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2520
Minimum1
Maximum5039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-04-18T16:33:00.224843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile252.9
Q11260.5
median2520
Q33779.5
95-th percentile4787.1
Maximum5039
Range5038
Interquartile range (IQR)2519

Descriptive statistics

Standard deviation1454.7783
Coefficient of variation (CV)0.57729299
Kurtosis-1.2
Mean2520
Median Absolute Deviation (MAD)1260
Skewness0
Sum12698280
Variance2116380
MonotonicityStrictly increasing
2024-04-18T16:33:00.356750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3358 1
 
< 0.1%
3365 1
 
< 0.1%
3364 1
 
< 0.1%
3363 1
 
< 0.1%
3362 1
 
< 0.1%
3361 1
 
< 0.1%
3360 1
 
< 0.1%
3359 1
 
< 0.1%
3357 1
 
< 0.1%
Other values (5029) 5029
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 (%)
5039 1
< 0.1%
5038 1
< 0.1%
5037 1
< 0.1%
5036 1
< 0.1%
5035 1
< 0.1%
5034 1
< 0.1%
5033 1
< 0.1%
5032 1
< 0.1%
5031 1
< 0.1%
5030 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
대기오염물질배출시설설치사업장
5039 

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 5039
100.0%

Length

2024-04-18T16:33:00.485897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:33:00.576740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 5039
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
09_30_08_P
5039 

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 5039
100.0%

Length

2024-04-18T16:33:00.667204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:33:00.750341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 5039
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3455163.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-04-18T16:33:00.827609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3430000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation19002.726
Coefficient of variation (CV)0.0054998048
Kurtosis-1.146974
Mean3455163.7
Median Absolute Deviation (MAD)20000
Skewness-0.35142005
Sum1.741057 × 1010
Variance3.611036 × 108
MonotonicityIncreasing
2024-04-18T16:33:00.931208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1575
31.3%
3450000 1315
26.1%
3430000 1082
21.5%
3480000 735
14.6%
3420000 172
 
3.4%
3460000 102
 
2.0%
3410000 39
 
0.8%
3440000 19
 
0.4%
ValueCountFrequency (%)
3410000 39
 
0.8%
3420000 172
 
3.4%
3430000 1082
21.5%
3440000 19
 
0.4%
3450000 1315
26.1%
3460000 102
 
2.0%
3470000 1575
31.3%
3480000 735
14.6%
ValueCountFrequency (%)
3480000 735
14.6%
3470000 1575
31.3%
3460000 102
 
2.0%
3450000 1315
26.1%
3440000 19
 
0.4%
3430000 1082
21.5%
3420000 172
 
3.4%
3410000 39
 
0.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5039
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4551639 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-04-18T16:33:01.058591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4100002 × 1017
5-th percentile3.4300002 × 1017
Q13.4300002 × 1017
median3.4500002 × 1017
Q33.4700002 × 1017
95-th percentile3.4800002 × 1017
Maximum3.4800002 × 1017
Range7 × 1015
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation1.9002726 × 1015
Coefficient of variation (CV)0.0054998045
Kurtosis-1.146974
Mean3.4551639 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.35142005
Sum7.0631639 × 1018
Variance3.611036 × 1030
MonotonicityNot monotonic
2024-04-18T16:33:01.215528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021202200001 1
 
< 0.1%
347000021199100023 1
 
< 0.1%
347000021199200009 1
 
< 0.1%
347000021199200007 1
 
< 0.1%
347000021199200006 1
 
< 0.1%
347000021199200005 1
 
< 0.1%
347000021199200004 1
 
< 0.1%
347000021199200002 1
 
< 0.1%
347000021199200001 1
 
< 0.1%
347000021199100021 1
 
< 0.1%
Other values (5029) 5029
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 (%)
348000021202200001 1
< 0.1%
348000021202100036 1
< 0.1%
348000021202100035 1
< 0.1%
348000021202100034 1
< 0.1%
348000021202100033 1
< 0.1%
348000021202100032 1
< 0.1%
348000021202100031 1
< 0.1%
348000021202100030 1
< 0.1%
348000021202100029 1
< 0.1%
348000021202100028 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3206
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20017891
Minimum19010101
Maximum20220113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-04-18T16:33:01.384472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19840911
Q119961166
median20040610
Q320115666
95-th percentile20190516
Maximum20220113
Range1210012
Interquartile range (IQR)154500.5

Descriptive statistics

Standard deviation172652.92
Coefficient of variation (CV)0.0086249304
Kurtosis20.387383
Mean20017891
Median Absolute Deviation (MAD)79481
Skewness-3.9020428
Sum1.0087016 × 1011
Variance2.9809031 × 1010
MonotonicityNot monotonic
2024-04-18T16:33:01.534036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19010101 100
 
2.0%
20040701 76
 
1.5%
20040702 48
 
1.0%
19840210 41
 
0.8%
20040621 36
 
0.7%
20040628 25
 
0.5%
20040630 24
 
0.5%
20120322 23
 
0.5%
19940427 16
 
0.3%
20151231 13
 
0.3%
Other values (3196) 4637
92.0%
ValueCountFrequency (%)
19010101 100
2.0%
19240212 1
 
< 0.1%
19740905 1
 
< 0.1%
19760816 1
 
< 0.1%
19780108 1
 
< 0.1%
19780201 1
 
< 0.1%
19780807 1
 
< 0.1%
19780906 1
 
< 0.1%
19781004 1
 
< 0.1%
19781123 1
 
< 0.1%
ValueCountFrequency (%)
20220113 1
 
< 0.1%
20220112 1
 
< 0.1%
20220111 1
 
< 0.1%
20220105 1
 
< 0.1%
20220104 3
0.1%
20211231 1
 
< 0.1%
20211230 3
0.1%
20211228 2
 
< 0.1%
20211227 5
0.1%
20211222 2
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5039
Missing (%)100.0%
Memory size44.4 KiB
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
1
2046 
3
2020 
4
973 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row4
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 2046
40.6%
3 2020
40.1%
4 973
19.3%

Length

2024-04-18T16:33:01.671553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:33:01.759666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2046
40.6%
3 2020
40.1%
4 973
19.3%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
영업/정상
2046 
폐업
2020 
취소/말소/만료/정지/중지
973 

Length

Max length14
Median length5
Mean length5.5352252
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row취소/말소/만료/정지/중지
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 2046
40.6%
폐업 2020
40.1%
취소/말소/만료/정지/중지 973
19.3%

Length

2024-04-18T16:33:01.860085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:33:01.949418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2046
40.6%
폐업 2020
40.1%
취소/말소/만료/정지/중지 973
19.3%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
11
2046 
2
2020 
4
973 

Length

Max length2
Median length1
Mean length1.4060329
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 2046
40.6%
2 2020
40.1%
4 973
19.3%

Length

2024-04-18T16:33:02.293622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:33:02.404704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 2046
40.6%
2 2020
40.1%
4 973
19.3%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
영업
2046 
폐업
2020 
폐쇄
973 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업
2nd row폐쇄
3rd row영업
4th row영업
5th row영업

Common Values

ValueCountFrequency (%)
영업 2046
40.6%
폐업 2020
40.1%
폐쇄 973
19.3%

Length

2024-04-18T16:33:02.510867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:33:02.599543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 2046
40.6%
폐업 2020
40.1%
폐쇄 973
19.3%

폐업일자
Real number (ℝ)

MISSING  SKEWED 

Distinct1466
Distinct (%)60.0%
Missing2597
Missing (%)51.5%
Infinite0
Infinite (%)0.0%
Mean20089652
Minimum199705
Maximum20220125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-04-18T16:33:02.717485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199705
5-th percentile20030120
Q120041230
median20081103
Q320150788
95-th percentile20201099
Maximum20220125
Range20020420
Interquartile range (IQR)109558.5

Descriptive statistics

Standard deviation406872.9
Coefficient of variation (CV)0.020252859
Kurtosis2342.3017
Mean20089652
Median Absolute Deviation (MAD)40474
Skewness-47.895026
Sum4.9058931 × 1010
Variance1.6554555 × 1011
MonotonicityNot monotonic
2024-04-18T16:33:02.856799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160418 114
 
2.3%
20040104 109
 
2.2%
20081008 52
 
1.0%
20081118 49
 
1.0%
20081006 39
 
0.8%
20040701 37
 
0.7%
20040907 21
 
0.4%
20091221 16
 
0.3%
20040630 11
 
0.2%
20201208 11
 
0.2%
Other values (1456) 1983
39.4%
(Missing) 2597
51.5%
ValueCountFrequency (%)
199705 1
< 0.1%
19920817 1
< 0.1%
19930721 1
< 0.1%
19940225 1
< 0.1%
19941231 1
< 0.1%
19950531 1
< 0.1%
19961129 1
< 0.1%
19970123 1
< 0.1%
19970206 1
< 0.1%
19970220 1
< 0.1%
ValueCountFrequency (%)
20220125 1
< 0.1%
20220119 1
< 0.1%
20220118 1
< 0.1%
20220114 2
< 0.1%
20220111 1
< 0.1%
20220105 1
< 0.1%
20211230 1
< 0.1%
20211229 2
< 0.1%
20211228 1
< 0.1%
20211227 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5039
Missing (%)100.0%
Memory size44.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5039
Missing (%)100.0%
Memory size44.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5039
Missing (%)100.0%
Memory size44.4 KiB

소재지전화
Text

MISSING 

Distinct4121
Distinct (%)93.3%
Missing621
Missing (%)12.3%
Memory size39.5 KiB
2024-04-18T16:33:03.136887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.9051607
Min length3

Characters and Unicode

Total characters43761
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3849 ?
Unique (%)87.1%

Sample

1st row420-8373
2nd row593-3198
3rd row053-255-2362
4th row0534310803
5th row07044977480
ValueCountFrequency (%)
053 742
 
11.1%
581 120
 
1.8%
353 85
 
1.3%
354 84
 
1.3%
582 78
 
1.2%
357 77
 
1.1%
358 73
 
1.1%
356 71
 
1.1%
583 67
 
1.0%
351 63
 
0.9%
Other values (4007) 5241
78.2%
2024-04-18T16:33:03.590795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 8908
20.4%
3 7024
16.1%
0 6145
14.0%
1 3717
8.5%
8 3105
 
7.1%
6 2921
 
6.7%
2 2611
 
6.0%
2313
 
5.3%
7 2212
 
5.1%
4 2097
 
4.8%
Other values (5) 2708
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40499
92.5%
Space Separator 2313
 
5.3%
Dash Punctuation 946
 
2.2%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 8908
22.0%
3 7024
17.3%
0 6145
15.2%
1 3717
9.2%
8 3105
 
7.7%
6 2921
 
7.2%
2 2611
 
6.4%
7 2212
 
5.5%
4 2097
 
5.2%
9 1759
 
4.3%
Space Separator
ValueCountFrequency (%)
2313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 946
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43761
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 8908
20.4%
3 7024
16.1%
0 6145
14.0%
1 3717
8.5%
8 3105
 
7.1%
6 2921
 
6.7%
2 2611
 
6.0%
2313
 
5.3%
7 2212
 
5.1%
4 2097
 
4.8%
Other values (5) 2708
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43761
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 8908
20.4%
3 7024
16.1%
0 6145
14.0%
1 3717
8.5%
8 3105
 
7.1%
6 2921
 
6.7%
2 2611
 
6.0%
2313
 
5.3%
7 2212
 
5.1%
4 2097
 
4.8%
Other values (5) 2708
 
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5039
Missing (%)100.0%
Memory size44.4 KiB

소재지우편번호
Text

MISSING 

Distinct136
Distinct (%)11.3%
Missing3837
Missing (%)76.1%
Memory size39.5 KiB
2024-04-18T16:33:03.836652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters7212
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

Unique49 ?
Unique (%)4.1%

Sample

1st row700761
2nd row701290
3rd row701040
4th row701300
5th row701230
ValueCountFrequency (%)
702083 233
19.4%
704190 62
 
5.2%
702050 58
 
4.8%
703830 53
 
4.4%
704900 52
 
4.3%
711855 38
 
3.2%
704801 36
 
3.0%
704170 34
 
2.8%
703833 33
 
2.7%
704070 32
 
2.7%
Other values (126) 571
47.5%
2024-04-18T16:33:04.180708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2262
31.4%
7 1278
17.7%
3 748
 
10.4%
2 616
 
8.5%
8 600
 
8.3%
4 560
 
7.8%
1 532
 
7.4%
5 216
 
3.0%
9 208
 
2.9%
78
 
1.1%
Other values (4) 114
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7082
98.2%
Space Separator 78
 
1.1%
Lowercase Letter 52
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2262
31.9%
7 1278
18.0%
3 748
 
10.6%
2 616
 
8.7%
8 600
 
8.5%
4 560
 
7.9%
1 532
 
7.5%
5 216
 
3.0%
9 208
 
2.9%
6 62
 
0.9%
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 7160
99.3%
Latin 52
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2262
31.6%
7 1278
17.8%
3 748
 
10.4%
2 616
 
8.6%
8 600
 
8.4%
4 560
 
7.8%
1 532
 
7.4%
5 216
 
3.0%
9 208
 
2.9%
78
 
1.1%
Latin
ValueCountFrequency (%)
l 26
50.0%
n 13
25.0%
u 13
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7212
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2262
31.4%
7 1278
17.7%
3 748
 
10.4%
2 616
 
8.5%
8 600
 
8.3%
4 560
 
7.8%
1 532
 
7.4%
5 216
 
3.0%
9 208
 
2.9%
78
 
1.1%
Other values (4) 114
 
1.6%

소재지전체주소
Text

MISSING 

Distinct3926
Distinct (%)79.8%
Missing117
Missing (%)2.3%
Memory size39.5 KiB
2024-04-18T16:33:04.534953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length21.832995
Min length13

Characters and Unicode

Total characters107462
Distinct characters262
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

Unique3252 ?
Unique (%)66.1%

Sample

1st row대구광역시 중구 대봉동 214 대백프라자
2nd row대구광역시 중구 수창동 47-1번지
3rd row대구광역시 중구 남산동 375 ABL대구타워
4th row대구광역시 중구 동인동2가 74-15
5th row대구광역시 중구 동성로2가 88-25
ValueCountFrequency (%)
대구광역시 4922
23.6%
달서구 1367
 
6.5%
북구 1311
 
6.3%
서구 1064
 
5.1%
달성군 890
 
4.3%
노원동3가 754
 
3.6%
이현동 378
 
1.8%
갈산동 365
 
1.7%
비산동 361
 
1.7%
논공읍 350
 
1.7%
Other values (4023) 9126
43.7%
2024-04-18T16:33:04.988938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20902
19.5%
9142
 
8.5%
5206
 
4.8%
4931
 
4.6%
4926
 
4.6%
4925
 
4.6%
4331
 
4.0%
1 4229
 
3.9%
- 3680
 
3.4%
2971
 
2.8%
Other values (252) 42219
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60860
56.6%
Decimal Number 21558
 
20.1%
Space Separator 20902
 
19.5%
Dash Punctuation 3680
 
3.4%
Uppercase Letter 164
 
0.2%
Close Punctuation 130
 
0.1%
Open Punctuation 113
 
0.1%
Other Punctuation 50
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9142
15.0%
5206
 
8.6%
4931
 
8.1%
4926
 
8.1%
4925
 
8.1%
4331
 
7.1%
2971
 
4.9%
2728
 
4.5%
2476
 
4.1%
2261
 
3.7%
Other values (228) 16963
27.9%
Decimal Number
ValueCountFrequency (%)
1 4229
19.6%
2 2845
13.2%
3 2805
13.0%
0 2299
10.7%
4 1901
8.8%
6 1586
 
7.4%
5 1585
 
7.4%
7 1528
 
7.1%
9 1448
 
6.7%
8 1332
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 83
50.6%
L 70
42.7%
A 6
 
3.7%
K 2
 
1.2%
C 1
 
0.6%
S 1
 
0.6%
T 1
 
0.6%
Space Separator
ValueCountFrequency (%)
20902
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3680
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60861
56.6%
Common 46433
43.2%
Latin 168
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9142
15.0%
5206
 
8.6%
4931
 
8.1%
4926
 
8.1%
4925
 
8.1%
4331
 
7.1%
2971
 
4.9%
2728
 
4.5%
2476
 
4.1%
2261
 
3.7%
Other values (229) 16964
27.9%
Common
ValueCountFrequency (%)
20902
45.0%
1 4229
 
9.1%
- 3680
 
7.9%
2 2845
 
6.1%
3 2805
 
6.0%
0 2299
 
5.0%
4 1901
 
4.1%
6 1586
 
3.4%
5 1585
 
3.4%
7 1528
 
3.3%
Other values (5) 3073
 
6.6%
Latin
ValueCountFrequency (%)
B 83
49.4%
L 70
41.7%
A 6
 
3.6%
b 4
 
2.4%
K 2
 
1.2%
C 1
 
0.6%
S 1
 
0.6%
T 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60860
56.6%
ASCII 46601
43.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20902
44.9%
1 4229
 
9.1%
- 3680
 
7.9%
2 2845
 
6.1%
3 2805
 
6.0%
0 2299
 
4.9%
4 1901
 
4.1%
6 1586
 
3.4%
5 1585
 
3.4%
7 1528
 
3.3%
Other values (13) 3241
 
7.0%
Hangul
ValueCountFrequency (%)
9142
15.0%
5206
 
8.6%
4931
 
8.1%
4926
 
8.1%
4925
 
8.1%
4331
 
7.1%
2971
 
4.9%
2728
 
4.5%
2476
 
4.1%
2261
 
3.7%
Other values (228) 16963
27.9%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct3296
Distinct (%)86.1%
Missing1213
Missing (%)24.1%
Memory size39.5 KiB
2024-04-18T16:33:05.283980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length25.731573
Min length19

Characters and Unicode

Total characters98449
Distinct characters313
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

Unique2880 ?
Unique (%)75.3%

Sample

1st row대구광역시 중구 명덕로 333, 대백프라자 (대봉동)
2nd row대구광역시 중구 달성로26길 86 (수창동)
3rd row대구광역시 중구 달구벌대로 2058, ABL대구타워 (남산동)
4th row대구광역시 중구 동덕로 167 (동인동2가)
5th row대구광역시 중구 국채보상로 586 (동성로2가)
ValueCountFrequency (%)
대구광역시 3826
 
19.7%
북구 1031
 
5.3%
달서구 1010
 
5.2%
서구 824
 
4.2%
달성군 666
 
3.4%
노원동3가 625
 
3.2%
논공읍 327
 
1.7%
이현동 277
 
1.4%
비산동 275
 
1.4%
갈산동 243
 
1.2%
Other values (1827) 10337
53.2%
2024-04-18T16:33:05.738324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16610
 
16.9%
7311
 
7.4%
4397
 
4.5%
3845
 
3.9%
3831
 
3.9%
3831
 
3.9%
3736
 
3.8%
3685
 
3.7%
) 3263
 
3.3%
( 3263
 
3.3%
Other values (303) 44677
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59396
60.3%
Space Separator 16610
 
16.9%
Decimal Number 14976
 
15.2%
Close Punctuation 3263
 
3.3%
Open Punctuation 3263
 
3.3%
Dash Punctuation 687
 
0.7%
Other Punctuation 211
 
0.2%
Uppercase Letter 42
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7311
 
12.3%
4397
 
7.4%
3845
 
6.5%
3831
 
6.4%
3831
 
6.4%
3736
 
6.3%
3685
 
6.2%
2946
 
5.0%
2527
 
4.3%
2223
 
3.7%
Other values (277) 21064
35.5%
Decimal Number
ValueCountFrequency (%)
1 2825
18.9%
3 2447
16.3%
2 2033
13.6%
5 1299
8.7%
4 1298
8.7%
6 1192
8.0%
7 1153
7.7%
9 980
 
6.5%
8 879
 
5.9%
0 870
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 12
28.6%
A 9
21.4%
K 5
11.9%
L 5
11.9%
S 3
 
7.1%
C 2
 
4.8%
T 2
 
4.8%
M 2
 
4.8%
E 1
 
2.4%
G 1
 
2.4%
Space Separator
ValueCountFrequency (%)
16610
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3263
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3263
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 687
100.0%
Other Punctuation
ValueCountFrequency (%)
, 211
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59397
60.3%
Common 39010
39.6%
Latin 42
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7311
 
12.3%
4397
 
7.4%
3845
 
6.5%
3831
 
6.4%
3831
 
6.4%
3736
 
6.3%
3685
 
6.2%
2946
 
5.0%
2527
 
4.3%
2223
 
3.7%
Other values (278) 21065
35.5%
Common
ValueCountFrequency (%)
16610
42.6%
) 3263
 
8.4%
( 3263
 
8.4%
1 2825
 
7.2%
3 2447
 
6.3%
2 2033
 
5.2%
5 1299
 
3.3%
4 1298
 
3.3%
6 1192
 
3.1%
7 1153
 
3.0%
Other values (5) 3627
 
9.3%
Latin
ValueCountFrequency (%)
B 12
28.6%
A 9
21.4%
K 5
11.9%
L 5
11.9%
S 3
 
7.1%
C 2
 
4.8%
T 2
 
4.8%
M 2
 
4.8%
E 1
 
2.4%
G 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59396
60.3%
ASCII 39052
39.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16610
42.5%
) 3263
 
8.4%
( 3263
 
8.4%
1 2825
 
7.2%
3 2447
 
6.3%
2 2033
 
5.2%
5 1299
 
3.3%
4 1298
 
3.3%
6 1192
 
3.1%
7 1153
 
3.0%
Other values (15) 3669
 
9.4%
Hangul
ValueCountFrequency (%)
7311
 
12.3%
4397
 
7.4%
3845
 
6.5%
3831
 
6.4%
3831
 
6.4%
3736
 
6.3%
3685
 
6.2%
2946
 
5.0%
2527
 
4.3%
2223
 
3.7%
Other values (277) 21064
35.5%
None
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct359
Distinct (%)19.2%
Missing3172
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean417284.42
Minimum41005
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-04-18T16:33:05.874236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41499
Q142703
median702814
Q3704801
95-th percentile711855
Maximum711892
Range670887
Interquartile range (IQR)662098

Descriptive statistics

Standard deviation328749.47
Coefficient of variation (CV)0.7878307
Kurtosis-1.9317244
Mean417284.42
Median Absolute Deviation (MAD)9041
Skewness-0.26479676
Sum7.7907 × 108
Variance1.0807622 × 1011
MonotonicityNot monotonic
2024-04-18T16:33:05.994132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704900 88
 
1.7%
704801 79
 
1.6%
702815 67
 
1.3%
704833 46
 
0.9%
711855 45
 
0.9%
702872 44
 
0.9%
704190 42
 
0.8%
702814 37
 
0.7%
703830 35
 
0.7%
43011 31
 
0.6%
Other values (349) 1353
26.9%
(Missing) 3172
62.9%
ValueCountFrequency (%)
41005 1
 
< 0.1%
41007 1
 
< 0.1%
41052 3
 
0.1%
41059 1
 
< 0.1%
41060 1
 
< 0.1%
41061 1
 
< 0.1%
41074 1
 
< 0.1%
41078 11
0.2%
41079 4
 
0.1%
41081 5
0.1%
ValueCountFrequency (%)
711892 9
0.2%
711891 18
0.4%
711890 2
 
< 0.1%
711882 2
 
< 0.1%
711874 1
 
< 0.1%
711871 2
 
< 0.1%
711861 1
 
< 0.1%
711860 1
 
< 0.1%
711858 20
0.4%
711857 16
0.3%
Distinct4278
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
2024-04-18T16:33:06.238974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.1240325
Min length2

Characters and Unicode

Total characters35898
Distinct characters590
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

Unique3682 ?
Unique (%)73.1%

Sample

1st row(주)대구백화점 대백프라자
2nd row신일모터스
3rd row(주)송유
4th row(주)케이티에스테이트
5th row교보생명보험(주) 동성로사옥
ValueCountFrequency (%)
주식회사 66
 
1.2%
대구공장 28
 
0.5%
제2공장 23
 
0.4%
2공장 16
 
0.3%
입주자대표회의 13
 
0.2%
성서공장 10
 
0.2%
9
 
0.2%
대구지점 9
 
0.2%
비산공장 8
 
0.1%
대구사업소 6
 
0.1%
Other values (4386) 5306
96.6%
2024-04-18T16:33:06.609057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2193
 
6.1%
) 2163
 
6.0%
2070
 
5.8%
1241
 
3.5%
1003
 
2.8%
950
 
2.6%
905
 
2.5%
774
 
2.2%
655
 
1.8%
607
 
1.7%
Other values (580) 23337
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29906
83.3%
Open Punctuation 2194
 
6.1%
Close Punctuation 2164
 
6.0%
Space Separator 455
 
1.3%
Uppercase Letter 429
 
1.2%
Other Punctuation 307
 
0.9%
Other Symbol 233
 
0.6%
Decimal Number 187
 
0.5%
Lowercase Letter 17
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2070
 
6.9%
1241
 
4.1%
1003
 
3.4%
950
 
3.2%
905
 
3.0%
774
 
2.6%
655
 
2.2%
607
 
2.0%
603
 
2.0%
540
 
1.8%
Other values (521) 20558
68.7%
Uppercase Letter
ValueCountFrequency (%)
S 49
 
11.4%
C 39
 
9.1%
T 36
 
8.4%
E 34
 
7.9%
K 27
 
6.3%
P 26
 
6.1%
D 22
 
5.1%
M 22
 
5.1%
O 20
 
4.7%
G 19
 
4.4%
Other values (15) 135
31.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
h 2
 
11.8%
c 2
 
11.8%
a 1
 
5.9%
r 1
 
5.9%
t 1
 
5.9%
n 1
 
5.9%
g 1
 
5.9%
o 1
 
5.9%
d 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 88
47.1%
1 60
32.1%
3 19
 
10.2%
5 6
 
3.2%
8 5
 
2.7%
6 4
 
2.1%
7 2
 
1.1%
4 2
 
1.1%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 151
49.2%
, 119
38.8%
& 22
 
7.2%
/ 10
 
3.3%
* 3
 
1.0%
2
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 2193
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2163
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
455
100.0%
Other Symbol
ValueCountFrequency (%)
233
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30139
84.0%
Common 5313
 
14.8%
Latin 446
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2070
 
6.9%
1241
 
4.1%
1003
 
3.3%
950
 
3.2%
905
 
3.0%
774
 
2.6%
655
 
2.2%
607
 
2.0%
603
 
2.0%
540
 
1.8%
Other values (522) 20791
69.0%
Latin
ValueCountFrequency (%)
S 49
 
11.0%
C 39
 
8.7%
T 36
 
8.1%
E 34
 
7.6%
K 27
 
6.1%
P 26
 
5.8%
D 22
 
4.9%
M 22
 
4.9%
O 20
 
4.5%
G 19
 
4.3%
Other values (26) 152
34.1%
Common
ValueCountFrequency (%)
( 2193
41.3%
) 2163
40.7%
455
 
8.6%
. 151
 
2.8%
, 119
 
2.2%
2 88
 
1.7%
1 60
 
1.1%
& 22
 
0.4%
3 19
 
0.4%
/ 10
 
0.2%
Other values (12) 33
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29906
83.3%
ASCII 5757
 
16.0%
None 235
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2193
38.1%
) 2163
37.6%
455
 
7.9%
. 151
 
2.6%
, 119
 
2.1%
2 88
 
1.5%
1 60
 
1.0%
S 49
 
0.9%
C 39
 
0.7%
T 36
 
0.6%
Other values (47) 404
 
7.0%
Hangul
ValueCountFrequency (%)
2070
 
6.9%
1241
 
4.1%
1003
 
3.4%
950
 
3.2%
905
 
3.0%
774
 
2.6%
655
 
2.2%
607
 
2.0%
603
 
2.0%
540
 
1.8%
Other values (521) 20558
68.7%
None
ValueCountFrequency (%)
233
99.1%
2
 
0.9%

최종수정시점
Real number (ℝ)

Distinct5038
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0138615 × 1013
Minimum2.0010104 × 1013
Maximum2.0220129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-04-18T16:33:06.745927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010104 × 1013
5-th percentile2.0040104 × 1013
Q12.0081119 × 1013
median2.0150627 × 1013
Q32.0200617 × 1013
95-th percentile2.0211203 × 1013
Maximum2.0220129 × 1013
Range2.1002504 × 1011
Interquartile range (IQR)1.1949803 × 1011

Descriptive statistics

Standard deviation6.1668018 × 1010
Coefficient of variation (CV)0.0030621777
Kurtosis-1.2550611
Mean2.0138615 × 1013
Median Absolute Deviation (MAD)5.049799 × 1010
Skewness-0.32830918
Sum1.0147848 × 1017
Variance3.8029444 × 1021
MonotonicityNot monotonic
2024-04-18T16:33:06.880116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20220104162521 1
 
< 0.1%
20060316113852 1
 
< 0.1%
20081006115706 1
 
< 0.1%
20081006134125 1
 
< 0.1%
20071213174017 1
 
< 0.1%
20060510183013 1
 
< 0.1%
20081008102504 1
 
< 0.1%
20050803143220 1
 
< 0.1%
20040625162823 1
 
< 0.1%
Other values (5028) 5028
99.8%
ValueCountFrequency (%)
20010104114108 1
< 0.1%
20010131100554 1
< 0.1%
20010315125649 1
< 0.1%
20010328174344 1
< 0.1%
20010511135104 1
< 0.1%
20010514153431 1
< 0.1%
20010605181832 1
< 0.1%
20010605182545 1
< 0.1%
20010605193518 1
< 0.1%
20010605194306 1
< 0.1%
ValueCountFrequency (%)
20220129155222 1
< 0.1%
20220129155036 1
< 0.1%
20220129154955 1
< 0.1%
20220129154854 1
< 0.1%
20220129154817 1
< 0.1%
20220129153934 1
< 0.1%
20220129153900 1
< 0.1%
20220129153552 1
< 0.1%
20220129153456 1
< 0.1%
20220129153315 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
I
3406 
U
1633 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3406
67.6%
U 1633
32.4%

Length

2024-04-18T16:33:06.992443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:33:07.089003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3406
67.6%
u 1633
32.4%
Distinct704
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
Minimum2018-09-01 23:59:59
Maximum2022-01-31 02:40:00
2024-04-18T16:33:07.189004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:33:07.313174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct438
Distinct (%)13.1%
Missing1689
Missing (%)33.5%
Memory size39.5 KiB
2024-04-18T16:33:07.554408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.012836
Min length2

Characters and Unicode

Total characters36893
Distinct characters298
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

Unique195 ?
Unique (%)5.8%

Sample

1st row백화점
2nd row부동산업
3rd row비거주용 건물 건설업
4th row금융업
5th row금융업
ValueCountFrequency (%)
제조업 1618
 
15.9%
기타 1089
 
10.7%
884
 
8.7%
조립금속제품 376
 
3.7%
자동차 353
 
3.5%
가공업 308
 
3.0%
염색 298
 
2.9%
수리업 285
 
2.8%
도금업 274
 
2.7%
섬유 274
 
2.7%
Other values (585) 4394
43.3%
2024-04-18T16:33:07.945355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6807
18.5%
3392
 
9.2%
2867
 
7.8%
2173
 
5.9%
1485
 
4.0%
1254
 
3.4%
1166
 
3.2%
1114
 
3.0%
956
 
2.6%
818
 
2.2%
Other values (288) 14861
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29914
81.1%
Space Separator 6807
 
18.5%
Other Punctuation 148
 
0.4%
Decimal Number 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3392
 
11.3%
2867
 
9.6%
2173
 
7.3%
1485
 
5.0%
1254
 
4.2%
1166
 
3.9%
1114
 
3.7%
956
 
3.2%
818
 
2.7%
793
 
2.7%
Other values (283) 13896
46.5%
Other Punctuation
ValueCountFrequency (%)
, 136
91.9%
· 7
 
4.7%
; 5
 
3.4%
Space Separator
ValueCountFrequency (%)
6807
100.0%
Decimal Number
ValueCountFrequency (%)
1 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29914
81.1%
Common 6979
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3392
 
11.3%
2867
 
9.6%
2173
 
7.3%
1485
 
5.0%
1254
 
4.2%
1166
 
3.9%
1114
 
3.7%
956
 
3.2%
818
 
2.7%
793
 
2.7%
Other values (283) 13896
46.5%
Common
ValueCountFrequency (%)
6807
97.5%
, 136
 
1.9%
1 24
 
0.3%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29914
81.1%
ASCII 6972
 
18.9%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6807
97.6%
, 136
 
2.0%
1 24
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
3392
 
11.3%
2867
 
9.6%
2173
 
7.3%
1485
 
5.0%
1254
 
4.2%
1166
 
3.9%
1114
 
3.7%
956
 
3.2%
818
 
2.7%
793
 
2.7%
Other values (283) 13896
46.5%
None
ValueCountFrequency (%)
· 7
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2994
Distinct (%)75.9%
Missing1093
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean338468.26
Minimum324827.06
Maximum357474.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-04-18T16:33:08.069543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328445.9
Q1335270.79
median338906.53
Q3341505.98
95-th percentile347181.03
Maximum357474.36
Range32647.303
Interquartile range (IQR)6235.1857

Descriptive statistics

Standard deviation5661.3377
Coefficient of variation (CV)0.016726347
Kurtosis1.1500057
Mean338468.26
Median Absolute Deviation (MAD)3218.4696
Skewness0.43244365
Sum1.3355958 × 109
Variance32050745
MonotonicityNot monotonic
2024-04-18T16:33:08.190108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336344.302039 11
 
0.2%
336366.064252 8
 
0.2%
336353.196287 8
 
0.2%
340174.370642 7
 
0.1%
335898.647221 7
 
0.1%
339163.824109 7
 
0.1%
341927.563233 7
 
0.1%
336559.670287 7
 
0.1%
338653.414866 7
 
0.1%
339267.316441 6
 
0.1%
Other values (2984) 3871
76.8%
(Missing) 1093
 
21.7%
ValueCountFrequency (%)
324827.061698 1
< 0.1%
325031.349322 1
< 0.1%
325101.677227 1
< 0.1%
325693.930075 1
< 0.1%
325695.119708 1
< 0.1%
325744.473021 1
< 0.1%
325759.027963 1
< 0.1%
325796.946031 1
< 0.1%
325797.948919 1
< 0.1%
325866.841016 1
< 0.1%
ValueCountFrequency (%)
357474.36475 1
 
< 0.1%
357249.517998 1
 
< 0.1%
357183.0049 1
 
< 0.1%
356288.780361 1
 
< 0.1%
355939.362329 2
< 0.1%
355715.873404 1
 
< 0.1%
355708.657238 1
 
< 0.1%
355569.867912 1
 
< 0.1%
355558.233247 3
0.1%
355557.42313 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2992
Distinct (%)75.8%
Missing1093
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean261979.06
Minimum236164.39
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-04-18T16:33:08.314127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236164.39
5-th percentile248432.66
Q1260461.09
median264088.51
Q3266879.76
95-th percentile268068.57
Maximum278091.65
Range41927.261
Interquartile range (IQR)6418.6732

Descriptive statistics

Standard deviation7009.9313
Coefficient of variation (CV)0.026757602
Kurtosis2.8714717
Mean261979.06
Median Absolute Deviation (MAD)3069.1713
Skewness-1.7613953
Sum1.0337694 × 109
Variance49139137
MonotonicityNot monotonic
2024-04-18T16:33:08.435794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261497.640906 11
 
0.2%
261651.801477 8
 
0.2%
261562.315791 8
 
0.2%
265188.870359 7
 
0.1%
261730.820003 7
 
0.1%
263466.441258 7
 
0.1%
258962.00812 7
 
0.1%
267045.01616 7
 
0.1%
267406.601136 7
 
0.1%
263796.947456 6
 
0.1%
Other values (2982) 3871
76.8%
(Missing) 1093
 
21.7%
ValueCountFrequency (%)
236164.392418 1
< 0.1%
236283.746887 1
< 0.1%
237420.318841 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%
237805.763337 1
< 0.1%
237817.514628 1
< 0.1%
ValueCountFrequency (%)
278091.653532 1
< 0.1%
277507.397404 1
< 0.1%
274001.175164 1
< 0.1%
273857.356673 1
< 0.1%
273712.082489 1
< 0.1%
273432.540162 1
< 0.1%
273400.631796 1
< 0.1%
273237.600006 1
< 0.1%
273236.236628 1
< 0.1%
272735.67566 2
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
대기배출업소관리
5039 

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 5039
100.0%

Length

2024-04-18T16:33:08.554070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:33:08.632457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 5039
100.0%

업종구분명
Text

MISSING 

Distinct438
Distinct (%)13.1%
Missing1689
Missing (%)33.5%
Memory size39.5 KiB
2024-04-18T16:33:08.839470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.012836
Min length2

Characters and Unicode

Total characters36893
Distinct characters298
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

Unique195 ?
Unique (%)5.8%

Sample

1st row백화점
2nd row부동산업
3rd row비거주용 건물 건설업
4th row금융업
5th row금융업
ValueCountFrequency (%)
제조업 1618
 
15.9%
기타 1089
 
10.7%
884
 
8.7%
조립금속제품 376
 
3.7%
자동차 353
 
3.5%
가공업 308
 
3.0%
염색 298
 
2.9%
수리업 285
 
2.8%
도금업 274
 
2.7%
섬유 274
 
2.7%
Other values (585) 4394
43.3%
2024-04-18T16:33:09.221166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6807
18.5%
3392
 
9.2%
2867
 
7.8%
2173
 
5.9%
1485
 
4.0%
1254
 
3.4%
1166
 
3.2%
1114
 
3.0%
956
 
2.6%
818
 
2.2%
Other values (288) 14861
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29914
81.1%
Space Separator 6807
 
18.5%
Other Punctuation 148
 
0.4%
Decimal Number 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3392
 
11.3%
2867
 
9.6%
2173
 
7.3%
1485
 
5.0%
1254
 
4.2%
1166
 
3.9%
1114
 
3.7%
956
 
3.2%
818
 
2.7%
793
 
2.7%
Other values (283) 13896
46.5%
Other Punctuation
ValueCountFrequency (%)
, 136
91.9%
· 7
 
4.7%
; 5
 
3.4%
Space Separator
ValueCountFrequency (%)
6807
100.0%
Decimal Number
ValueCountFrequency (%)
1 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29914
81.1%
Common 6979
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3392
 
11.3%
2867
 
9.6%
2173
 
7.3%
1485
 
5.0%
1254
 
4.2%
1166
 
3.9%
1114
 
3.7%
956
 
3.2%
818
 
2.7%
793
 
2.7%
Other values (283) 13896
46.5%
Common
ValueCountFrequency (%)
6807
97.5%
, 136
 
1.9%
1 24
 
0.3%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29914
81.1%
ASCII 6972
 
18.9%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6807
97.6%
, 136
 
2.0%
1 24
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
3392
 
11.3%
2867
 
9.6%
2173
 
7.3%
1485
 
5.0%
1254
 
4.2%
1166
 
3.9%
1114
 
3.7%
956
 
3.2%
818
 
2.7%
793
 
2.7%
Other values (283) 13896
46.5%
None
ValueCountFrequency (%)
· 7
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
5종
2761 
4종
1634 
3종
 
219
2종
 
206
<NA>
 
175

Length

Max length4
Median length2
Mean length2.0694582
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2761
54.8%
4종 1634
32.4%
3종 219
 
4.3%
2종 206
 
4.1%
<NA> 175
 
3.5%
1종 44
 
0.9%

Length

2024-04-18T16:33:09.353539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:33:09.461000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2761
54.8%
4종 1634
32.4%
3종 219
 
4.3%
2종 206
 
4.1%
na 175
 
3.5%
1종 44
 
0.9%

주생산품명
Text

MISSING 

Distinct916
Distinct (%)61.9%
Missing3558
Missing (%)70.6%
Memory size39.5 KiB
2024-04-18T16:33:09.761026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length5.944632
Min length1

Characters and Unicode

Total characters8804
Distinct characters464
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

Unique737 ?
Unique (%)49.8%

Sample

1st row전력,온수
2nd row자동차부품
3rd row정비차량
4th row수리된 자동차
5th row자동차용 고무제품
ValueCountFrequency (%)
자동차부품 188
 
9.9%
자동차 40
 
2.1%
36
 
1.9%
안경테 36
 
1.9%
31
 
1.6%
전자부품 26
 
1.4%
부품 23
 
1.2%
기계부품 20
 
1.1%
가공원단 20
 
1.1%
고무시트 19
 
1.0%
Other values (945) 1461
76.9%
2024-04-18T16:33:10.167982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
549
 
6.2%
450
 
5.1%
419
 
4.8%
419
 
4.8%
367
 
4.2%
359
 
4.1%
179
 
2.0%
156
 
1.8%
, 139
 
1.6%
136
 
1.5%
Other values (454) 5631
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7706
87.5%
Space Separator 419
 
4.8%
Uppercase Letter 256
 
2.9%
Other Punctuation 154
 
1.7%
Lowercase Letter 112
 
1.3%
Open Punctuation 72
 
0.8%
Close Punctuation 72
 
0.8%
Decimal Number 7
 
0.1%
Dash Punctuation 5
 
0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
549
 
7.1%
450
 
5.8%
419
 
5.4%
367
 
4.8%
359
 
4.7%
179
 
2.3%
156
 
2.0%
136
 
1.8%
126
 
1.6%
116
 
1.5%
Other values (395) 4849
62.9%
Uppercase Letter
ValueCountFrequency (%)
P 47
18.4%
E 37
14.5%
C 21
8.2%
L 20
7.8%
D 20
7.8%
T 15
 
5.9%
I 15
 
5.9%
O 14
 
5.5%
S 11
 
4.3%
A 10
 
3.9%
Other values (13) 46
18.0%
Lowercase Letter
ValueCountFrequency (%)
o 13
11.6%
r 11
9.8%
f 11
9.8%
c 10
8.9%
e 9
8.0%
i 9
8.0%
t 8
 
7.1%
a 7
 
6.2%
l 6
 
5.4%
u 6
 
5.4%
Other values (12) 22
19.6%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
7 2
28.6%
4 1
14.3%
0 1
14.3%
1 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 139
90.3%
. 11
 
7.1%
/ 3
 
1.9%
& 1
 
0.6%
Space Separator
ValueCountFrequency (%)
419
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7706
87.5%
Common 730
 
8.3%
Latin 368
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
549
 
7.1%
450
 
5.8%
419
 
5.4%
367
 
4.8%
359
 
4.7%
179
 
2.3%
156
 
2.0%
136
 
1.8%
126
 
1.6%
116
 
1.5%
Other values (395) 4849
62.9%
Latin
ValueCountFrequency (%)
P 47
 
12.8%
E 37
 
10.1%
C 21
 
5.7%
L 20
 
5.4%
D 20
 
5.4%
T 15
 
4.1%
I 15
 
4.1%
O 14
 
3.8%
o 13
 
3.5%
r 11
 
3.0%
Other values (35) 155
42.1%
Common
ValueCountFrequency (%)
419
57.4%
, 139
 
19.0%
( 72
 
9.9%
) 72
 
9.9%
. 11
 
1.5%
- 5
 
0.7%
/ 3
 
0.4%
2 2
 
0.3%
7 2
 
0.3%
1
 
0.1%
Other values (4) 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7706
87.5%
ASCII 1097
 
12.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
549
 
7.1%
450
 
5.8%
419
 
5.4%
367
 
4.8%
359
 
4.7%
179
 
2.3%
156
 
2.0%
136
 
1.8%
126
 
1.6%
116
 
1.5%
Other values (395) 4849
62.9%
ASCII
ValueCountFrequency (%)
419
38.2%
, 139
 
12.7%
( 72
 
6.6%
) 72
 
6.6%
P 47
 
4.3%
E 37
 
3.4%
C 21
 
1.9%
L 20
 
1.8%
D 20
 
1.8%
T 15
 
1.4%
Other values (48) 235
21.4%
None
ValueCountFrequency (%)
1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct37
Distinct (%)0.7%
Missing63
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean7.7013264
Minimum0
Maximum912
Zeros1530
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-04-18T16:33:10.308279image/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 deviation15.081812
Coefficient of variation (CV)1.9583396
Kurtosis2610.2522
Mean7.7013264
Median Absolute Deviation (MAD)3
Skewness44.260217
Sum38321.8
Variance227.46106
MonotonicityNot monotonic
2024-04-18T16:33:10.440037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
8.0 1956
38.8%
0.0 1530
30.4%
24.0 477
 
9.5%
10.0 292
 
5.8%
6.0 92
 
1.8%
12.0 85
 
1.7%
4.0 73
 
1.4%
5.0 67
 
1.3%
20.0 62
 
1.2%
7.0 58
 
1.2%
Other values (27) 284
 
5.6%
(Missing) 63
 
1.3%
ValueCountFrequency (%)
0.0 1530
30.4%
1.0 12
 
0.2%
1.3 1
 
< 0.1%
1.5 1
 
< 0.1%
2.0 21
 
0.4%
2.5 1
 
< 0.1%
3.0 30
 
0.6%
3.5 1
 
< 0.1%
4.0 73
 
1.4%
5.0 67
 
1.3%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
240.0 1
 
< 0.1%
120.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 2
 
< 0.1%
24.0 477
9.5%
23.0 1
 
< 0.1%
22.0 16
 
0.3%
21.0 8
 
0.2%
20.0 62
 
1.2%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)2.0%
Missing65
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean202.03498
Minimum0
Maximum365
Zeros1548
Zeros (%)30.7%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-04-18T16:33:10.573632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation139.43826
Coefficient of variation (CV)0.69016889
Kurtosis-1.42014
Mean202.03498
Median Absolute Deviation (MAD)0
Skewness-0.70175589
Sum1004922
Variance19443.028
MonotonicityNot monotonic
2024-04-18T16:33:10.723999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2688
53.3%
0 1548
30.7%
240 86
 
1.7%
365 68
 
1.3%
312 44
 
0.9%
360 41
 
0.8%
264 38
 
0.8%
250 38
 
0.8%
180 27
 
0.5%
330 27
 
0.5%
Other values (88) 369
 
7.3%
(Missing) 65
 
1.3%
ValueCountFrequency (%)
0 1548
30.7%
5 1
 
< 0.1%
8 2
 
< 0.1%
24 3
 
0.1%
25 2
 
< 0.1%
30 3
 
0.1%
51 1
 
< 0.1%
60 2
 
< 0.1%
84 1
 
< 0.1%
88 1
 
< 0.1%
ValueCountFrequency (%)
365 68
1.3%
362 1
 
< 0.1%
361 2
 
< 0.1%
360 41
0.8%
358 1
 
< 0.1%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 14
 
0.3%
341 3
 
0.1%
340 18
 
0.4%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)0.7%
Missing453
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean7.2344745
Minimum0
Maximum300
Zeros1559
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-04-18T16:33:10.875868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile24
Maximum300
Range300
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.7742162
Coefficient of variation (CV)1.351061
Kurtosis349.7537
Mean7.2344745
Median Absolute Deviation (MAD)4
Skewness13.324056
Sum33177.3
Variance95.535302
MonotonicityNot monotonic
2024-04-18T16:33:11.451554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
8.0 1771
35.1%
0.0 1559
30.9%
24.0 406
 
8.1%
10.0 242
 
4.8%
6.0 80
 
1.6%
12.0 68
 
1.3%
5.0 62
 
1.2%
4.0 61
 
1.2%
7.0 54
 
1.1%
20.0 52
 
1.0%
Other values (24) 231
 
4.6%
(Missing) 453
 
9.0%
ValueCountFrequency (%)
0.0 1559
30.9%
1.0 10
 
0.2%
1.3 1
 
< 0.1%
2.0 16
 
0.3%
2.5 1
 
< 0.1%
3.0 19
 
0.4%
4.0 61
 
1.2%
5.0 62
 
1.2%
6.0 80
 
1.6%
7.0 54
 
1.1%
ValueCountFrequency (%)
300.0 1
 
< 0.1%
264.0 1
 
< 0.1%
240.0 1
 
< 0.1%
100.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 3
 
0.1%
24.0 406
8.1%
22.0 12
 
0.2%
21.0 8
 
0.2%
20.0 52
 
1.0%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct87
Distinct (%)1.9%
Missing376
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean193.42355
Minimum0
Maximum365
Zeros1605
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-04-18T16:33:11.631518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile309.8
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation142.76589
Coefficient of variation (CV)0.73809983
Kurtosis-1.6037203
Mean193.42355
Median Absolute Deviation (MAD)0
Skewness-0.57547118
Sum901934
Variance20382.099
MonotonicityNot monotonic
2024-04-18T16:33:11.798328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2452
48.7%
0 1605
31.9%
240 74
 
1.5%
365 49
 
1.0%
312 43
 
0.9%
250 35
 
0.7%
360 34
 
0.7%
264 28
 
0.6%
330 26
 
0.5%
280 23
 
0.5%
Other values (77) 294
 
5.8%
(Missing) 376
 
7.5%
ValueCountFrequency (%)
0 1605
31.9%
4 1
 
< 0.1%
8 1
 
< 0.1%
24 2
 
< 0.1%
25 2
 
< 0.1%
30 2
 
< 0.1%
51 1
 
< 0.1%
60 2
 
< 0.1%
84 1
 
< 0.1%
90 1
 
< 0.1%
ValueCountFrequency (%)
365 49
1.0%
362 1
 
< 0.1%
361 1
 
< 0.1%
360 34
0.7%
358 1
 
< 0.1%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 14
 
0.3%
341 3
 
0.1%
340 16
 
0.3%

사업자등록번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5039
Missing (%)100.0%
Memory size44.4 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수사업자등록번호
01대기오염물질배출시설설치사업장09_30_08_P341000034100002120220000120220104<NA>1영업/정상11영업<NA><NA><NA><NA>420-8373<NA><NA>대구광역시 중구 대봉동 214 대백프라자대구광역시 중구 명덕로 333, 대백프라자 (대봉동)41953(주)대구백화점 대백프라자20220104162521I2022-01-06 00:22:40.0백화점345032.238221262949.871621대기배출업소관리백화점4종<NA>10.036510.0365<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<NA>
23대기오염물질배출시설설치사업장09_30_08_P341000034100002120210000520211208<NA>1영업/정상11영업<NA><NA><NA><NA>053-255-2362<NA><NA>대구광역시 중구 남산동 375 ABL대구타워대구광역시 중구 달구벌대로 2058, ABL대구타워 (남산동)41966(주)송유20211208172008I2021-12-10 00:22:42.0부동산업343411.629443264020.37592대기배출업소관리부동산업5종<NA>8.02008.0200<NA>
34대기오염물질배출시설설치사업장09_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><NA>
45대기오염물질배출시설설치사업장09_30_08_P341000034100002120210000320210621<NA>1영업/정상11영업<NA><NA><NA><NA>07044977480<NA><NA>대구광역시 중구 동성로2가 88-25대구광역시 중구 국채보상로 586 (동성로2가)41937교보생명보험(주) 동성로사옥20210628113906U2021-06-30 02:40:00.0금융업343959.823762264529.39356대기배출업소관리금융업4종<NA><NA><NA><NA>300<NA>
56대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001520151209<NA>1영업/정상11영업<NA><NA><NA><NA>053-250-5555<NA><NA>대구광역시 중구 덕산동 110대구광역시 중구 달구벌대로 2095 (덕산동)41936엔에이치아문디전문투자형사모부동산투자신탁17호20210601135950U2021-06-03 02:40:00.0금융업343787.134091264065.576741대기배출업소관리금융업4종<NA>6.0196<NA><NA><NA>
67대기오염물질배출시설설치사업장09_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><NA>
78대기오염물질배출시설설치사업장09_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><NA>
89대기오염물질배출시설설치사업장09_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><NA>
910대기오염물질배출시설설치사업장09_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><NA>
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50305031대기오염물질배출시설설치사업장09_30_08_P348000034800002120210002820211116<NA>1영업/정상11영업<NA><NA><NA><NA>053-550-8418<NA><NA>대구광역시 달성군 구지면 창리 1363대구광역시 달성군 구지면 국가산단대로39길 15943011(주)SJ테크20211122180924U2021-11-24 02:40:00.0기타 자동차부품 제조업326757.091675240218.016125대기배출업소관리기타 자동차부품 제조업5종<NA>22.026422.0264<NA>
50315032대기오염물질배출시설설치사업장09_30_08_P348000034800002120200001020200710<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 노이리 1121-1대구광역시 달성군 논공읍 노이길 18142975천우환경산업20211103163009U2021-11-05 02:40:00.0비금속원료 재생업329484.606395252290.992949대기배출업소관리비금속원료 재생업5종합성수지 분쇄품8.03008.0300<NA>
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50345035대기오염물질배출시설설치사업장09_30_08_P348000034800002120210001620210712<NA>1영업/정상11영업<NA><NA><NA><NA>053-474-8050<NA><NA>대구광역시 달성군 구지면 수리리 1309-1대구광역시 달성군 구지면 국가산단서로71길 20-3543011(주)에너피아20210716164914U2021-07-18 02:40:00.0기타 절연선 및 케이블 제조업325744.473021240781.150708대기배출업소관리기타 절연선 및 케이블 제조업5종난방필름8.03008.0300<NA>
50355036대기오염물질배출시설설치사업장09_30_08_P348000034800002120210001720210714<NA>1영업/정상11영업<NA><NA><NA><NA>053-358-7527<NA><NA>대구광역시 달성군 구지면 내리 850-1 (주)율아대구광역시 달성군 구지면 달성2차3로 8 (주)율아43013지알스크린(주)20210820171256U2021-08-22 02:40:00.0액체 여과기 제조업328408.905722238278.70117대기배출업소관리액체 여과기 제조업5종스크린바스켓8.03008.0300<NA>
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