Overview

Dataset statistics

Number of variables37
Number of observations5271
Missing cells49457
Missing cells (%)25.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory313.0 B

Variable types

Numeric10
Categorical9
DateTime4
Unsupported5
Text9

Dataset

Description23년11월_6270000_대구광역시_09_30_08_P_대기오염물질배출시설설치사업장
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101484&dataSetDetailId=DDI_0000101518&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
환경업무구분명 has constant value ""Constant
인허가취소일자 has 5271 (100.0%) missing valuesMissing
폐업일자 has 2675 (50.7%) missing valuesMissing
휴업시작일자 has 5271 (100.0%) missing valuesMissing
휴업종료일자 has 5271 (100.0%) missing valuesMissing
재개업일자 has 5271 (100.0%) missing valuesMissing
소재지전화 has 665 (12.6%) missing valuesMissing
소재지면적 has 5271 (100.0%) missing valuesMissing
소재지우편번호 has 4099 (77.8%) missing valuesMissing
소재지전체주소 has 125 (2.4%) missing valuesMissing
도로명전체주소 has 1252 (23.8%) missing valuesMissing
도로명우편번호 has 3210 (60.9%) missing valuesMissing
업태구분명 has 1706 (32.4%) missing valuesMissing
좌표정보(X) has 1127 (21.4%) missing valuesMissing
좌표정보(Y) has 1127 (21.4%) missing valuesMissing
업종구분명 has 1706 (32.4%) missing valuesMissing
주생산품명 has 3695 (70.1%) missing valuesMissing
배출시설조업시간 has 70 (1.3%) missing valuesMissing
방지시설조업시간 has 470 (8.9%) missing valuesMissing
사업자등록번호 has 1175 (22.3%) missing valuesMissing
배출시설조업시간 is highly skewed (γ1 = 44.55497788)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 1522 (28.9%) zerosZeros
배출시설연간가동일수 has 1612 (30.6%) zerosZeros
방지시설조업시간 has 1554 (29.5%) zerosZeros
방지시설연간가동일수 has 1991 (37.8%) zerosZeros

Reproduction

Analysis started2023-12-16 04:49:59.240358
Analysis finished2023-12-16 04:50:06.016976
Duration6.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5271
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2636
Minimum1
Maximum5271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2023-12-16T04:50:07.002916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile264.5
Q11318.5
median2636
Q33953.5
95-th percentile5007.5
Maximum5271
Range5270
Interquartile range (IQR)2635

Descriptive statistics

Standard deviation1521.751
Coefficient of variation (CV)0.57729551
Kurtosis-1.2
Mean2636
Median Absolute Deviation (MAD)1318
Skewness0
Sum13894356
Variance2315726
MonotonicityStrictly increasing
2023-12-16T04:50:09.083283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3522 1
 
< 0.1%
3520 1
 
< 0.1%
3519 1
 
< 0.1%
3518 1
 
< 0.1%
3517 1
 
< 0.1%
3516 1
 
< 0.1%
3515 1
 
< 0.1%
3514 1
 
< 0.1%
3513 1
 
< 0.1%
Other values (5261) 5261
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 (%)
5271 1
< 0.1%
5270 1
< 0.1%
5269 1
< 0.1%
5268 1
< 0.1%
5267 1
< 0.1%
5266 1
< 0.1%
5265 1
< 0.1%
5264 1
< 0.1%
5263 1
< 0.1%
5262 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
대기오염물질배출시설설치사업장
5271 

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 5271
100.0%

Length

2023-12-16T04:50:10.774462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:11.440563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 5271
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
09_30_08_P
5271 

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 5271
100.0%

Length

2023-12-16T04:50:12.457165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:13.411392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 5271
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3489276.4
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2023-12-16T04:50:13.873935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3430000
Q13440000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation237396.36
Coefficient of variation (CV)0.068035984
Kurtosis44.188898
Mean3489276.4
Median Absolute Deviation (MAD)20000
Skewness6.7714442
Sum1.8391976 × 1010
Variance5.635703 × 1010
MonotonicityIncreasing
2023-12-16T04:50:14.572620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 1609
30.5%
3450000 1331
25.3%
3430000 1092
20.7%
3480000 786
14.9%
3420000 176
 
3.3%
3460000 107
 
2.0%
5141000 106
 
2.0%
3410000 43
 
0.8%
3440000 21
 
0.4%
ValueCountFrequency (%)
3410000 43
 
0.8%
3420000 176
 
3.3%
3430000 1092
20.7%
3440000 21
 
0.4%
3450000 1331
25.3%
3460000 107
 
2.0%
3470000 1609
30.5%
3480000 786
14.9%
5141000 106
 
2.0%
ValueCountFrequency (%)
5141000 106
 
2.0%
3480000 786
14.9%
3470000 1609
30.5%
3460000 107
 
2.0%
3450000 1331
25.3%
3440000 21
 
0.4%
3430000 1092
20.7%
3420000 176
 
3.3%
3410000 43
 
0.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5271
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4892766 × 1017
Minimum3.4100002 × 1017
Maximum5.1410002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2023-12-16T04:50:15.505675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4100002 × 1017
5-th percentile3.4300002 × 1017
Q13.4400002 × 1017
median3.4500002 × 1017
Q33.4700002 × 1017
95-th percentile3.4800002 × 1017
Maximum5.1410002 × 1017
Range1.731 × 1017
Interquartile range (IQR)3 × 1015

Descriptive statistics

Standard deviation2.3739636 × 1016
Coefficient of variation (CV)0.06803598
Kurtosis44.188898
Mean3.4892766 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness6.7714442
Sum-5.4766956 × 1018
Variance5.635703 × 1032
MonotonicityNot monotonic
2023-12-16T04:50:16.741744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021202200002 1
 
< 0.1%
347000021199900035 1
 
< 0.1%
347000021199900030 1
 
< 0.1%
347000021199900029 1
 
< 0.1%
347000021199900028 1
 
< 0.1%
347000021199900027 1
 
< 0.1%
347000021199900025 1
 
< 0.1%
347000021199900024 1
 
< 0.1%
347000021199900023 1
 
< 0.1%
347000021199900022 1
 
< 0.1%
Other values (5261) 5261
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 (%)
514100021202300002 1
< 0.1%
514100021202300001 1
< 0.1%
514100021202200002 1
< 0.1%
514100021202200001 1
< 0.1%
514100021202100003 1
< 0.1%
514100021202100002 1
< 0.1%
514100021202100001 1
< 0.1%
514100021202000001 1
< 0.1%
514100021201900003 1
< 0.1%
514100021201900002 1
< 0.1%

인허가일자
Date

Distinct3365
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
Minimum1901-01-01 00:00:00
Maximum2023-11-28 00:00:00
2023-12-16T04:50:17.829964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:50:18.794628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5271
Missing (%)100.0%
Memory size46.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
1
2111 
3
2083 
4
1077 

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 2111
40.0%
3 2083
39.5%
4 1077
20.4%

Length

2023-12-16T04:50:19.531078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:20.095962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2111
40.0%
3 2083
39.5%
4 1077
20.4%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
영업/정상
2111 
폐업
2083 
취소/말소/만료/정지/중지
1077 

Length

Max length14
Median length5
Mean length5.6533865
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 2111
40.0%
폐업 2083
39.5%
취소/말소/만료/정지/중지 1077
20.4%

Length

2023-12-16T04:50:20.807983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:21.894287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2111
40.0%
폐업 2083
39.5%
취소/말소/만료/정지/중지 1077
20.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
11
2111 
2
2083 
4
1077 

Length

Max length2
Median length1
Mean length1.4004933
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 2111
40.0%
2 2083
39.5%
4 1077
20.4%

Length

2023-12-16T04:50:22.772159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:23.300035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 2111
40.0%
2 2083
39.5%
4 1077
20.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
영업
2111 
폐업
2083 
폐쇄
1077 

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 2111
40.0%
폐업 2083
39.5%
폐쇄 1077
20.4%

Length

2023-12-16T04:50:23.897589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:24.489856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 2111
40.0%
폐업 2083
39.5%
폐쇄 1077
20.4%

폐업일자
Date

MISSING 

Distinct1595
Distinct (%)61.4%
Missing2675
Missing (%)50.7%
Memory size41.3 KiB
Minimum1992-08-17 00:00:00
Maximum2023-11-28 00:00:00
2023-12-16T04:50:25.101192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:50:25.818576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5271
Missing (%)100.0%
Memory size46.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5271
Missing (%)100.0%
Memory size46.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5271
Missing (%)100.0%
Memory size46.5 KiB

소재지전화
Text

MISSING 

Distinct4294
Distinct (%)93.2%
Missing665
Missing (%)12.6%
Memory size41.3 KiB
2023-12-16T04:50:27.050155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.983934
Min length6

Characters and Unicode

Total characters45986
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

Unique4010 ?
Unique (%)87.1%

Sample

1st row053-661-2000
2nd row0532532615
3rd row0534310803
4th row251-5137
5th row053-429-7004
ValueCountFrequency (%)
053 729
 
10.6%
581 120
 
1.7%
354 83
 
1.2%
353 83
 
1.2%
582 78
 
1.1%
357 76
 
1.1%
356 72
 
1.0%
358 71
 
1.0%
583 67
 
1.0%
351 61
 
0.9%
Other values (4184) 5430
79.0%
2023-12-16T04:50:29.086259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 9210
20.0%
3 7361
16.0%
0 6545
14.2%
1 3862
8.4%
8 3271
 
7.1%
6 3049
 
6.6%
2 2740
 
6.0%
7 2322
 
5.0%
2295
 
5.0%
4 2258
 
4.9%
Other values (5) 3073
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42442
92.3%
Space Separator 2295
 
5.0%
Dash Punctuation 1244
 
2.7%
Close Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9210
21.7%
3 7361
17.3%
0 6545
15.4%
1 3862
9.1%
8 3271
 
7.7%
6 3049
 
7.2%
2 2740
 
6.5%
7 2322
 
5.5%
4 2258
 
5.3%
9 1824
 
4.3%
Space Separator
ValueCountFrequency (%)
2295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45986
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 9210
20.0%
3 7361
16.0%
0 6545
14.2%
1 3862
8.4%
8 3271
 
7.1%
6 3049
 
6.6%
2 2740
 
6.0%
7 2322
 
5.0%
2295
 
5.0%
4 2258
 
4.9%
Other values (5) 3073
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 9210
20.0%
3 7361
16.0%
0 6545
14.2%
1 3862
8.4%
8 3271
 
7.1%
6 3049
 
6.6%
2 2740
 
6.0%
7 2322
 
5.0%
2295
 
5.0%
4 2258
 
4.9%
Other values (5) 3073
 
6.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5271
Missing (%)100.0%
Memory size46.5 KiB

소재지우편번호
Text

MISSING 

Distinct132
Distinct (%)11.3%
Missing4099
Missing (%)77.8%
Memory size41.3 KiB
2023-12-16T04:50:29.931653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters8204
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)4.0%

Sample

1st row700-761
2nd row701-290
3rd row701-040
4th row701-300
5th row701-230
ValueCountFrequency (%)
702-083 231
19.7%
704-190 63
 
5.4%
702-050 57
 
4.9%
704-900 54
 
4.6%
703-830 53
 
4.5%
711-855 38
 
3.2%
704-801 36
 
3.1%
704-170 34
 
2.9%
703-833 33
 
2.8%
704-200 32
 
2.7%
Other values (122) 541
46.2%
2023-12-16T04:50:31.639054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2248
27.4%
7 1262
15.4%
- 1172
14.3%
3 745
 
9.1%
2 610
 
7.4%
8 596
 
7.3%
4 547
 
6.7%
1 533
 
6.5%
5 215
 
2.6%
9 213
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7032
85.7%
Dash Punctuation 1172
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2248
32.0%
7 1262
17.9%
3 745
 
10.6%
2 610
 
8.7%
8 596
 
8.5%
4 547
 
7.8%
1 533
 
7.6%
5 215
 
3.1%
9 213
 
3.0%
6 63
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 1172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2248
27.4%
7 1262
15.4%
- 1172
14.3%
3 745
 
9.1%
2 610
 
7.4%
8 596
 
7.3%
4 547
 
6.7%
1 533
 
6.5%
5 215
 
2.6%
9 213
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2248
27.4%
7 1262
15.4%
- 1172
14.3%
3 745
 
9.1%
2 610
 
7.4%
8 596
 
7.3%
4 547
 
6.7%
1 533
 
6.5%
5 215
 
2.6%
9 213
 
2.6%

소재지전체주소
Text

MISSING 

Distinct4191
Distinct (%)81.4%
Missing125
Missing (%)2.4%
Memory size41.3 KiB
2023-12-16T04:50:32.742309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length21.773805
Min length13

Characters and Unicode

Total characters112048
Distinct characters284
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

Unique3541 ?
Unique (%)68.8%

Sample

1st row대구광역시 중구 동인동2가 177-4 중구청
2nd row대구광역시 중구 동산동 234 대구제일교회교육관
3rd row대구광역시 중구 삼덕동2가 188-1 경북대학교치과병원
4th row대구광역시 중구 동인동2가 74-15
5th row대구광역시 중구 남산동 3006 반월당효성해링턴플레이스
ValueCountFrequency (%)
대구광역시 5146
23.4%
달서구 1401
 
6.4%
북구 1327
 
6.0%
서구 1074
 
4.9%
달성군 940
 
4.3%
노원동3가 759
 
3.5%
이현동 383
 
1.7%
갈산동 372
 
1.7%
논공읍 367
 
1.7%
비산동 366
 
1.7%
Other values (4317) 9839
44.8%
2023-12-16T04:50:34.357740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21988
19.6%
구 9481
 
8.5%
대 5439
 
4.9%
시 5155
 
4.6%
광 5151
 
4.6%
역 5149
 
4.6%
1 4442
 
4.0%
동 4422
 
3.9%
- 3844
 
3.4%
2 2949
 
2.6%
Other values (274) 44028
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63236
56.4%
Decimal Number 22499
 
20.1%
Space Separator 21988
 
19.6%
Dash Punctuation 3844
 
3.4%
Uppercase Letter 177
 
0.2%
Close Punctuation 131
 
0.1%
Open Punctuation 114
 
0.1%
Other Punctuation 53
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 9481
15.0%
대 5439
 
8.6%
시 5155
 
8.2%
광 5151
 
8.1%
역 5149
 
8.1%
동 4422
 
7.0%
지 2686
 
4.2%
서 2555
 
4.0%
번 2414
 
3.8%
달 2348
 
3.7%
Other values (244) 18436
29.2%
Uppercase Letter
ValueCountFrequency (%)
B 84
47.5%
L 70
39.5%
A 9
 
5.1%
M 2
 
1.1%
S 2
 
1.1%
C 2
 
1.1%
D 2
 
1.1%
K 2
 
1.1%
R 1
 
0.6%
G 1
 
0.6%
Other values (2) 2
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 4442
19.7%
2 2949
13.1%
3 2891
12.8%
0 2390
10.6%
4 1987
8.8%
6 1670
 
7.4%
5 1664
 
7.4%
7 1604
 
7.1%
9 1500
 
6.7%
8 1402
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 52
98.1%
. 1
 
1.9%
Space Separator
ValueCountFrequency (%)
21988
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3844
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63238
56.4%
Common 48629
43.4%
Latin 181
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 9481
15.0%
대 5439
 
8.6%
시 5155
 
8.2%
광 5151
 
8.1%
역 5149
 
8.1%
동 4422
 
7.0%
지 2686
 
4.2%
서 2555
 
4.0%
번 2414
 
3.8%
달 2348
 
3.7%
Other values (245) 18438
29.2%
Common
ValueCountFrequency (%)
21988
45.2%
1 4442
 
9.1%
- 3844
 
7.9%
2 2949
 
6.1%
3 2891
 
5.9%
0 2390
 
4.9%
4 1987
 
4.1%
6 1670
 
3.4%
5 1664
 
3.4%
7 1604
 
3.3%
Other values (6) 3200
 
6.6%
Latin
ValueCountFrequency (%)
B 84
46.4%
L 70
38.7%
A 9
 
5.0%
b 4
 
2.2%
M 2
 
1.1%
S 2
 
1.1%
C 2
 
1.1%
D 2
 
1.1%
K 2
 
1.1%
R 1
 
0.6%
Other values (3) 3
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63236
56.4%
ASCII 48810
43.6%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21988
45.0%
1 4442
 
9.1%
- 3844
 
7.9%
2 2949
 
6.0%
3 2891
 
5.9%
0 2390
 
4.9%
4 1987
 
4.1%
6 1670
 
3.4%
5 1664
 
3.4%
7 1604
 
3.3%
Other values (19) 3381
 
6.9%
Hangul
ValueCountFrequency (%)
구 9481
15.0%
대 5439
 
8.6%
시 5155
 
8.2%
광 5151
 
8.1%
역 5149
 
8.1%
동 4422
 
7.0%
지 2686
 
4.2%
서 2555
 
4.0%
번 2414
 
3.8%
달 2348
 
3.7%
Other values (244) 18436
29.2%
None
ValueCountFrequency (%)
㈜ 2
100.0%

도로명전체주소
Text

MISSING 

Distinct3469
Distinct (%)86.3%
Missing1252
Missing (%)23.8%
Memory size41.3 KiB
2023-12-16T04:50:35.165019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length25.740732
Min length19

Characters and Unicode

Total characters103452
Distinct characters329
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

Unique3039 ?
Unique (%)75.6%

Sample

1st row대구광역시 중구 국채보상로139길 1, 중구청 (동인동2가)
2nd row대구광역시 중구 국채보상로102길 50, 대구제일교회교육관 (동산동)
3rd row대구광역시 중구 달구벌대로 2175, 경북대학교치과병원 (삼덕동2가)
4th row대구광역시 중구 동덕로 167 (동인동2가)
5th row대구광역시 중구 중앙대로66길 20 (남산동, 반월당효성해링턴플레이스)
ValueCountFrequency (%)
대구광역시 4019
 
19.6%
북구 1056
 
5.2%
달서구 1045
 
5.1%
서구 834
 
4.1%
달성군 721
 
3.5%
노원동3가 637
 
3.1%
논공읍 345
 
1.7%
이현동 281
 
1.4%
비산동 279
 
1.4%
갈산동 250
 
1.2%
Other values (1955) 10993
53.7%
2023-12-16T04:50:36.987079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17406
 
16.8%
구 7625
 
7.4%
대 4626
 
4.5%
시 4038
 
3.9%
광 4024
 
3.9%
역 4024
 
3.9%
로 3899
 
3.8%
동 3792
 
3.7%
( 3354
 
3.2%
) 3353
 
3.2%
Other values (319) 47311
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62517
60.4%
Space Separator 17406
 
16.8%
Decimal Number 15775
 
15.2%
Open Punctuation 3354
 
3.2%
Close Punctuation 3353
 
3.2%
Dash Punctuation 733
 
0.7%
Other Punctuation 253
 
0.2%
Uppercase Letter 59
 
0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7625
 
12.2%
대 4626
 
7.4%
시 4038
 
6.5%
광 4024
 
6.4%
역 4024
 
6.4%
로 3899
 
6.2%
동 3792
 
6.1%
서 3031
 
4.8%
길 2648
 
4.2%
달 2336
 
3.7%
Other values (290) 22474
35.9%
Uppercase Letter
ValueCountFrequency (%)
B 15
25.4%
A 12
20.3%
L 7
11.9%
K 5
 
8.5%
M 4
 
6.8%
S 4
 
6.8%
C 3
 
5.1%
G 2
 
3.4%
T 2
 
3.4%
D 2
 
3.4%
Other values (3) 3
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 2992
19.0%
3 2552
16.2%
2 2155
13.7%
5 1365
8.7%
4 1361
8.6%
6 1259
8.0%
7 1201
7.6%
9 1034
 
6.6%
8 931
 
5.9%
0 925
 
5.9%
Space Separator
ValueCountFrequency (%)
17406
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3354
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3353
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 733
100.0%
Other Punctuation
ValueCountFrequency (%)
, 253
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62519
60.4%
Common 40874
39.5%
Latin 59
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7625
 
12.2%
대 4626
 
7.4%
시 4038
 
6.5%
광 4024
 
6.4%
역 4024
 
6.4%
로 3899
 
6.2%
동 3792
 
6.1%
서 3031
 
4.8%
길 2648
 
4.2%
달 2336
 
3.7%
Other values (291) 22476
36.0%
Common
ValueCountFrequency (%)
17406
42.6%
( 3354
 
8.2%
) 3353
 
8.2%
1 2992
 
7.3%
3 2552
 
6.2%
2 2155
 
5.3%
5 1365
 
3.3%
4 1361
 
3.3%
6 1259
 
3.1%
7 1201
 
2.9%
Other values (5) 3876
 
9.5%
Latin
ValueCountFrequency (%)
B 15
25.4%
A 12
20.3%
L 7
11.9%
K 5
 
8.5%
M 4
 
6.8%
S 4
 
6.8%
C 3
 
5.1%
G 2
 
3.4%
T 2
 
3.4%
D 2
 
3.4%
Other values (3) 3
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62517
60.4%
ASCII 40933
39.6%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17406
42.5%
( 3354
 
8.2%
) 3353
 
8.2%
1 2992
 
7.3%
3 2552
 
6.2%
2 2155
 
5.3%
5 1365
 
3.3%
4 1361
 
3.3%
6 1259
 
3.1%
7 1201
 
2.9%
Other values (18) 3935
 
9.6%
Hangul
ValueCountFrequency (%)
구 7625
 
12.2%
대 4626
 
7.4%
시 4038
 
6.5%
광 4024
 
6.4%
역 4024
 
6.4%
로 3899
 
6.2%
동 3792
 
6.1%
서 3031
 
4.8%
길 2648
 
4.2%
달 2336
 
3.7%
Other values (290) 22474
35.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%

도로명우편번호
Text

MISSING 

Distinct395
Distinct (%)19.2%
Missing3210
Missing (%)60.9%
Memory size41.3 KiB
2023-12-16T04:50:38.199336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.0441533
Min length5

Characters and Unicode

Total characters12457
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)9.9%

Sample

1st row41908
2nd row41931
3rd row41940
4th row41961
5th row41940
ValueCountFrequency (%)
704-900 88
 
4.3%
704-801 76
 
3.7%
702-815 67
 
3.3%
704-833 46
 
2.2%
702-872 44
 
2.1%
711-855 44
 
2.1%
43011 43
 
2.1%
704-190 42
 
2.0%
702-814 40
 
1.9%
43013 35
 
1.7%
Other values (385) 1536
74.5%
2023-12-16T04:50:40.260938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1924
15.4%
4 1785
14.3%
1 1624
13.0%
7 1617
13.0%
2 1225
9.8%
- 1076
8.6%
8 1043
8.4%
3 675
 
5.4%
9 652
 
5.2%
5 564
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11381
91.4%
Dash Punctuation 1076
 
8.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1924
16.9%
4 1785
15.7%
1 1624
14.3%
7 1617
14.2%
2 1225
10.8%
8 1043
9.2%
3 675
 
5.9%
9 652
 
5.7%
5 564
 
5.0%
6 272
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 1076
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12457
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1924
15.4%
4 1785
14.3%
1 1624
13.0%
7 1617
13.0%
2 1225
9.8%
- 1076
8.6%
8 1043
8.4%
3 675
 
5.4%
9 652
 
5.2%
5 564
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1924
15.4%
4 1785
14.3%
1 1624
13.0%
7 1617
13.0%
2 1225
9.8%
- 1076
8.6%
8 1043
8.4%
3 675
 
5.4%
9 652
 
5.2%
5 564
 
4.5%

사업장명
Text

Distinct4491
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
2023-12-16T04:50:41.276660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length7.1646746
Min length2

Characters and Unicode

Total characters37765
Distinct characters603
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

Unique3880 ?
Unique (%)73.6%

Sample

1st row대구광역시 중구청
2nd row대한예수교장로회대구제일교회
3rd row경북대학교치과병원
4th row(주)케이티에스테이트
5th row(주)에이치앤제이파트너스
ValueCountFrequency (%)
주식회사 84
 
1.5%
대구공장 30
 
0.5%
제2공장 23
 
0.4%
2공장 20
 
0.3%
입주자대표회의 13
 
0.2%
성서공장 10
 
0.2%
대구지점 9
 
0.2%
구 8
 
0.1%
태성산업 7
 
0.1%
제1공장 7
 
0.1%
Other values (4621) 5579
96.4%
2023-12-16T04:50:43.926493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2297
 
6.1%
) 2267
 
6.0%
주 2187
 
5.8%
업 1279
 
3.4%
공 1033
 
2.7%
대 995
 
2.6%
산 945
 
2.5%
성 804
 
2.1%
사 682
 
1.8%
구 628
 
1.7%
Other values (593) 24648
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31442
83.3%
Open Punctuation 2299
 
6.1%
Close Punctuation 2269
 
6.0%
Space Separator 519
 
1.4%
Uppercase Letter 452
 
1.2%
Other Punctuation 311
 
0.8%
Other Symbol 239
 
0.6%
Decimal Number 211
 
0.6%
Lowercase Letter 17
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2187
 
7.0%
업 1279
 
4.1%
공 1033
 
3.3%
대 995
 
3.2%
산 945
 
3.0%
성 804
 
2.6%
사 682
 
2.2%
구 628
 
2.0%
금 607
 
1.9%
이 586
 
1.9%
Other values (534) 21696
69.0%
Uppercase Letter
ValueCountFrequency (%)
S 48
 
10.6%
C 41
 
9.1%
T 36
 
8.0%
E 35
 
7.7%
K 30
 
6.6%
P 26
 
5.8%
M 24
 
5.3%
O 20
 
4.4%
A 20
 
4.4%
G 20
 
4.4%
Other values (15) 152
33.6%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
h 2
 
11.8%
c 2
 
11.8%
o 1
 
5.9%
a 1
 
5.9%
r 1
 
5.9%
t 1
 
5.9%
n 1
 
5.9%
g 1
 
5.9%
d 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 97
46.0%
1 69
32.7%
3 24
 
11.4%
5 6
 
2.8%
8 5
 
2.4%
6 5
 
2.4%
7 2
 
0.9%
4 2
 
0.9%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 153
49.2%
, 120
38.6%
& 23
 
7.4%
/ 10
 
3.2%
* 3
 
1.0%
＆ 2
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 2297
99.9%
[ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2267
99.9%
] 2
 
0.1%
Space Separator
ValueCountFrequency (%)
519
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31681
83.9%
Common 5615
 
14.9%
Latin 469
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2187
 
6.9%
업 1279
 
4.0%
공 1033
 
3.3%
대 995
 
3.1%
산 945
 
3.0%
성 804
 
2.5%
사 682
 
2.2%
구 628
 
2.0%
금 607
 
1.9%
이 586
 
1.8%
Other values (535) 21935
69.2%
Latin
ValueCountFrequency (%)
S 48
 
10.2%
C 41
 
8.7%
T 36
 
7.7%
E 35
 
7.5%
K 30
 
6.4%
P 26
 
5.5%
M 24
 
5.1%
O 20
 
4.3%
A 20
 
4.3%
G 20
 
4.3%
Other values (26) 169
36.0%
Common
ValueCountFrequency (%)
( 2297
40.9%
) 2267
40.4%
519
 
9.2%
. 153
 
2.7%
, 120
 
2.1%
2 97
 
1.7%
1 69
 
1.2%
3 24
 
0.4%
& 23
 
0.4%
/ 10
 
0.2%
Other values (12) 36
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31442
83.3%
ASCII 6082
 
16.1%
None 241
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2297
37.8%
) 2267
37.3%
519
 
8.5%
. 153
 
2.5%
, 120
 
2.0%
2 97
 
1.6%
1 69
 
1.1%
S 48
 
0.8%
C 41
 
0.7%
T 36
 
0.6%
Other values (47) 435
 
7.2%
Hangul
ValueCountFrequency (%)
주 2187
 
7.0%
업 1279
 
4.1%
공 1033
 
3.3%
대 995
 
3.2%
산 945
 
3.0%
성 804
 
2.6%
사 682
 
2.2%
구 628
 
2.0%
금 607
 
1.9%
이 586
 
1.9%
Other values (534) 21696
69.0%
None
ValueCountFrequency (%)
㈜ 239
99.2%
＆ 2
 
0.8%

최종수정시점
Date

Distinct5270
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
Minimum2001-01-04 11:41:08
Maximum2023-11-30 16:16:09
2023-12-16T04:50:44.859350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:50:45.895487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
I
3237 
U
2034 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3237
61.4%
U 2034
38.6%

Length

2023-12-16T04:50:46.948348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:47.573662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3237
61.4%
u 2034
38.6%

데이터갱신일자
Date

Distinct950
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
Minimum2018-09-04 23:59:59
Maximum2023-12-02 02:40:00
2023-12-16T04:50:48.220600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:50:49.307105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct469
Distinct (%)13.2%
Missing1706
Missing (%)32.4%
Memory size41.3 KiB
2023-12-16T04:50:50.556221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.102384
Min length2

Characters and Unicode

Total characters39580
Distinct characters306
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

Unique207 ?
Unique (%)5.8%

Sample

1st row부동산 임대업
2nd row치과 병원
3rd row비거주용 건물 건설업
4th row부동산업
5th row기타 서비스업
ValueCountFrequency (%)
제조업 1718
 
15.7%
기타 1134
 
10.4%
및 951
 
8.7%
자동차 392
 
3.6%
조립금속제품 375
 
3.4%
가공업 321
 
2.9%
수리업 314
 
2.9%
염색 307
 
2.8%
도금업 276
 
2.5%
섬유 273
 
2.5%
Other values (619) 4853
44.5%
2023-12-16T04:50:52.772761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7353
18.6%
업 3616
 
9.1%
제 3025
 
7.6%
조 2287
 
5.8%
기 1554
 
3.9%
품 1324
 
3.3%
타 1212
 
3.1%
금 1139
 
2.9%
및 1022
 
2.6%
리 908
 
2.3%
Other values (296) 16140
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32035
80.9%
Space Separator 7353
 
18.6%
Other Punctuation 168
 
0.4%
Decimal Number 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 3616
 
11.3%
제 3025
 
9.4%
조 2287
 
7.1%
기 1554
 
4.9%
품 1324
 
4.1%
타 1212
 
3.8%
금 1139
 
3.6%
및 1022
 
3.2%
리 908
 
2.8%
속 815
 
2.5%
Other values (291) 15133
47.2%
Other Punctuation
ValueCountFrequency (%)
, 156
92.9%
· 7
 
4.2%
; 5
 
3.0%
Space Separator
ValueCountFrequency (%)
7353
100.0%
Decimal Number
ValueCountFrequency (%)
1 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32035
80.9%
Common 7545
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 3616
 
11.3%
제 3025
 
9.4%
조 2287
 
7.1%
기 1554
 
4.9%
품 1324
 
4.1%
타 1212
 
3.8%
금 1139
 
3.6%
및 1022
 
3.2%
리 908
 
2.8%
속 815
 
2.5%
Other values (291) 15133
47.2%
Common
ValueCountFrequency (%)
7353
97.5%
, 156
 
2.1%
1 24
 
0.3%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32035
80.9%
ASCII 7538
 
19.0%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7353
97.5%
, 156
 
2.1%
1 24
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
업 3616
 
11.3%
제 3025
 
9.4%
조 2287
 
7.1%
기 1554
 
4.9%
품 1324
 
4.1%
타 1212
 
3.8%
금 1139
 
3.6%
및 1022
 
3.2%
리 908
 
2.8%
속 815
 
2.5%
Other values (291) 15133
47.2%
None
ValueCountFrequency (%)
· 7
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3142
Distinct (%)75.8%
Missing1127
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean338437.21
Minimum324823.8
Maximum361677.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2023-12-16T04:50:53.440276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324823.8
5-th percentile328252.27
Q1335252.88
median338922.17
Q3341536.58
95-th percentile347333.33
Maximum361677.49
Range36853.691
Interquartile range (IQR)6283.7014

Descriptive statistics

Standard deviation5746.2285
Coefficient of variation (CV)0.016978714
Kurtosis1.0879122
Mean338437.21
Median Absolute Deviation (MAD)3235.5543
Skewness0.40030703
Sum1.4024838 × 109
Variance33019142
MonotonicityNot monotonic
2023-12-16T04:50:54.393283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336344.302038787 11
 
0.2%
336366.064251572 8
 
0.2%
336353.196286814 8
 
0.2%
335898.64722115 8
 
0.2%
336559.67028675 8
 
0.2%
339163.824108967 7
 
0.1%
338653.42195118 7
 
0.1%
340174.37064187 7
 
0.1%
341927.56323321 7
 
0.1%
339372.436368902 6
 
0.1%
Other values (3132) 4067
77.2%
(Missing) 1127
 
21.4%
ValueCountFrequency (%)
324823.803201609 1
< 0.1%
324827.061697927 1
< 0.1%
324827.256682568 1
< 0.1%
325031.349321951 1
< 0.1%
325101.677227104 1
< 0.1%
325693.930075186 1
< 0.1%
325695.119708392 1
< 0.1%
325744.473020781 1
< 0.1%
325759.02796265 1
< 0.1%
325796.946031429 1
< 0.1%
ValueCountFrequency (%)
361677.49414763 1
< 0.1%
358663.134909228 1
< 0.1%
357474.364750617 1
< 0.1%
357249.517998328 1
< 0.1%
357183.00490047 1
< 0.1%
356288.780361138 1
< 0.1%
355939.362329351 2
< 0.1%
355708.657238321 1
< 0.1%
355593.294094409 1
< 0.1%
355569.867912385 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3142
Distinct (%)75.8%
Missing1127
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean262482.25
Minimum236164.39
Maximum308254.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2023-12-16T04:50:55.243353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236164.39
5-th percentile245086.67
Q1260409.83
median264134.72
Q3266948.13
95-th percentile268903.78
Maximum308254.8
Range72090.407
Interquartile range (IQR)6538.3082

Descriptive statistics

Standard deviation8671.8933
Coefficient of variation (CV)0.033038018
Kurtosis5.9319294
Mean262482.25
Median Absolute Deviation (MAD)3114.7722
Skewness0.24422253
Sum1.0877264 × 109
Variance75201734
MonotonicityNot monotonic
2023-12-16T04:50:56.113929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261497.640905574 11
 
0.2%
261651.801477034 8
 
0.2%
261562.315791212 8
 
0.2%
258962.008119978 8
 
0.2%
261730.820002532 8
 
0.2%
265188.870359479 7
 
0.1%
263463.995182109 7
 
0.1%
267045.016160041 7
 
0.1%
267406.601135619 7
 
0.1%
266176.21665027 6
 
0.1%
Other values (3132) 4067
77.2%
(Missing) 1127
 
21.4%
ValueCountFrequency (%)
236164.392417907 1
< 0.1%
236283.74688717 1
< 0.1%
237420.318840774 1
< 0.1%
237677.093670862 1
< 0.1%
237679.019436224 1
< 0.1%
237682.121456924 1
< 0.1%
237686.085459452 1
< 0.1%
237690.289796808 1
< 0.1%
237691.769750968 1
< 0.1%
237692.765575349 1
< 0.1%
ValueCountFrequency (%)
308254.799686136 1
< 0.1%
307746.174470126 1
< 0.1%
306917.4364502 2
< 0.1%
306431.860963883 1
< 0.1%
305768.615307331 1
< 0.1%
305373.301230317 1
< 0.1%
305215.23793532 1
< 0.1%
304830.030052983 1
< 0.1%
304441.197612521 1
< 0.1%
303953.662084098 1
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
대기배출업소관리
5271 

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 5271
100.0%

Length

2023-12-16T04:50:56.937835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:57.509541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 5271
100.0%

업종구분명
Text

MISSING 

Distinct469
Distinct (%)13.2%
Missing1706
Missing (%)32.4%
Memory size41.3 KiB
2023-12-16T04:50:58.634238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.102384
Min length2

Characters and Unicode

Total characters39580
Distinct characters306
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

Unique207 ?
Unique (%)5.8%

Sample

1st row부동산 임대업
2nd row치과 병원
3rd row비거주용 건물 건설업
4th row부동산업
5th row기타 서비스업
ValueCountFrequency (%)
제조업 1718
 
15.7%
기타 1134
 
10.4%
및 951
 
8.7%
자동차 392
 
3.6%
조립금속제품 375
 
3.4%
가공업 321
 
2.9%
수리업 314
 
2.9%
염색 307
 
2.8%
도금업 276
 
2.5%
섬유 273
 
2.5%
Other values (619) 4853
44.5%
2023-12-16T04:51:01.108926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7353
18.6%
업 3616
 
9.1%
제 3025
 
7.6%
조 2287
 
5.8%
기 1554
 
3.9%
품 1324
 
3.3%
타 1212
 
3.1%
금 1139
 
2.9%
및 1022
 
2.6%
리 908
 
2.3%
Other values (296) 16140
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32035
80.9%
Space Separator 7353
 
18.6%
Other Punctuation 168
 
0.4%
Decimal Number 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 3616
 
11.3%
제 3025
 
9.4%
조 2287
 
7.1%
기 1554
 
4.9%
품 1324
 
4.1%
타 1212
 
3.8%
금 1139
 
3.6%
및 1022
 
3.2%
리 908
 
2.8%
속 815
 
2.5%
Other values (291) 15133
47.2%
Other Punctuation
ValueCountFrequency (%)
, 156
92.9%
· 7
 
4.2%
; 5
 
3.0%
Space Separator
ValueCountFrequency (%)
7353
100.0%
Decimal Number
ValueCountFrequency (%)
1 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32035
80.9%
Common 7545
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 3616
 
11.3%
제 3025
 
9.4%
조 2287
 
7.1%
기 1554
 
4.9%
품 1324
 
4.1%
타 1212
 
3.8%
금 1139
 
3.6%
및 1022
 
3.2%
리 908
 
2.8%
속 815
 
2.5%
Other values (291) 15133
47.2%
Common
ValueCountFrequency (%)
7353
97.5%
, 156
 
2.1%
1 24
 
0.3%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32035
80.9%
ASCII 7538
 
19.0%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7353
97.5%
, 156
 
2.1%
1 24
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
업 3616
 
11.3%
제 3025
 
9.4%
조 2287
 
7.1%
기 1554
 
4.9%
품 1324
 
4.1%
타 1212
 
3.8%
금 1139
 
3.6%
및 1022
 
3.2%
리 908
 
2.8%
속 815
 
2.5%
Other values (291) 15133
47.2%
None
ValueCountFrequency (%)
· 7
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
5종
2949 
4종
1664 
3종
 
230
2종
 
208
<NA>
 
175

Length

Max length4
Median length2
Mean length2.0664011
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2949
55.9%
4종 1664
31.6%
3종 230
 
4.4%
2종 208
 
3.9%
<NA> 175
 
3.3%
1종 45
 
0.9%

Length

2023-12-16T04:51:02.236669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:51:03.064617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2949
55.9%
4종 1664
31.6%
3종 230
 
4.4%
2종 208
 
3.9%
na 175
 
3.3%
1종 45
 
0.9%

주생산품명
Text

MISSING 

Distinct964
Distinct (%)61.2%
Missing3695
Missing (%)70.1%
Memory size41.3 KiB
2023-12-16T04:51:04.302319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length5.964467
Min length1

Characters and Unicode

Total characters9400
Distinct characters472
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

Unique778 ?
Unique (%)49.4%

Sample

1st row전력,온수
2nd row자동차부품
3rd row정비차량
4th row수리된 자동차
5th row자동차용 고무제품
ValueCountFrequency (%)
자동차부품 199
 
9.7%
자동차 52
 
2.5%
안경테 41
 
2.0%
등 37
 
1.8%
및 35
 
1.7%
부품 32
 
1.6%
전자부품 26
 
1.3%
가공원단 22
 
1.1%
기계부품 22
 
1.1%
고무시트 20
 
1.0%
Other values (1002) 1567
76.3%
2023-12-16T04:51:06.770078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 586
 
6.2%
부 479
 
5.1%
477
 
5.1%
자 449
 
4.8%
차 397
 
4.2%
동 385
 
4.1%
기 186
 
2.0%
스 161
 
1.7%
, 155
 
1.6%
고 144
 
1.5%
Other values (462) 5981
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8201
87.2%
Space Separator 477
 
5.1%
Uppercase Letter 264
 
2.8%
Other Punctuation 172
 
1.8%
Lowercase Letter 128
 
1.4%
Open Punctuation 72
 
0.8%
Close Punctuation 72
 
0.8%
Decimal Number 8
 
0.1%
Dash Punctuation 5
 
0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 586
 
7.1%
부 479
 
5.8%
자 449
 
5.5%
차 397
 
4.8%
동 385
 
4.7%
기 186
 
2.3%
스 161
 
2.0%
고 144
 
1.8%
무 134
 
1.6%
가 122
 
1.5%
Other values (403) 5158
62.9%
Uppercase Letter
ValueCountFrequency (%)
P 54
20.5%
E 37
14.0%
C 21
 
8.0%
D 21
 
8.0%
L 20
 
7.6%
T 16
 
6.1%
O 14
 
5.3%
I 13
 
4.9%
S 13
 
4.9%
R 10
 
3.8%
Other values (13) 45
17.0%
Lowercase Letter
ValueCountFrequency (%)
o 17
13.3%
c 12
9.4%
r 11
 
8.6%
f 11
 
8.6%
e 10
 
7.8%
i 9
 
7.0%
t 8
 
6.2%
p 7
 
5.5%
l 7
 
5.5%
a 7
 
5.5%
Other values (12) 29
22.7%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
7 2
25.0%
4 1
 
12.5%
1 1
 
12.5%
0 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 155
90.1%
. 12
 
7.0%
/ 4
 
2.3%
& 1
 
0.6%
Space Separator
ValueCountFrequency (%)
477
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8201
87.2%
Common 807
 
8.6%
Latin 392
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 586
 
7.1%
부 479
 
5.8%
자 449
 
5.5%
차 397
 
4.8%
동 385
 
4.7%
기 186
 
2.3%
스 161
 
2.0%
고 144
 
1.8%
무 134
 
1.6%
가 122
 
1.5%
Other values (403) 5158
62.9%
Latin
ValueCountFrequency (%)
P 54
 
13.8%
E 37
 
9.4%
C 21
 
5.4%
D 21
 
5.4%
L 20
 
5.1%
o 17
 
4.3%
T 16
 
4.1%
O 14
 
3.6%
I 13
 
3.3%
S 13
 
3.3%
Other values (35) 166
42.3%
Common
ValueCountFrequency (%)
477
59.1%
, 155
 
19.2%
( 72
 
8.9%
) 72
 
8.9%
. 12
 
1.5%
- 5
 
0.6%
/ 4
 
0.5%
2 3
 
0.4%
7 2
 
0.2%
4 1
 
0.1%
Other values (4) 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8201
87.2%
ASCII 1198
 
12.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 586
 
7.1%
부 479
 
5.8%
자 449
 
5.5%
차 397
 
4.8%
동 385
 
4.7%
기 186
 
2.3%
스 161
 
2.0%
고 144
 
1.8%
무 134
 
1.6%
가 122
 
1.5%
Other values (403) 5158
62.9%
ASCII
ValueCountFrequency (%)
477
39.8%
, 155
 
12.9%
( 72
 
6.0%
) 72
 
6.0%
P 54
 
4.5%
E 37
 
3.1%
C 21
 
1.8%
D 21
 
1.8%
L 20
 
1.7%
o 17
 
1.4%
Other values (48) 252
21.0%
None
ValueCountFrequency (%)
₂ 1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct37
Distinct (%)0.7%
Missing70
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean7.8622073
Minimum0
Maximum912
Zeros1522
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2023-12-16T04:51:07.835443image/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 deviation14.82567
Coefficient of variation (CV)1.8856881
Kurtosis2672.4244
Mean7.8622073
Median Absolute Deviation (MAD)2.5
Skewness44.554978
Sum40891.34
Variance219.8005
MonotonicityNot monotonic
2023-12-16T04:51:08.779537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
8.0 2069
39.3%
0.0 1522
28.9%
24.0 515
 
9.8%
10.0 311
 
5.9%
12.0 94
 
1.8%
6.0 93
 
1.8%
4.0 87
 
1.7%
20.0 69
 
1.3%
5.0 68
 
1.3%
7.0 67
 
1.3%
Other values (27) 306
 
5.8%
(Missing) 70
 
1.3%
ValueCountFrequency (%)
0.0 1522
28.9%
1.0 13
 
0.2%
1.34 1
 
< 0.1%
1.5 1
 
< 0.1%
2.0 23
 
0.4%
2.5 1
 
< 0.1%
3.0 35
 
0.7%
3.5 1
 
< 0.1%
4.0 87
 
1.7%
5.0 68
 
1.3%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
240.0 1
 
< 0.1%
120.0 1
 
< 0.1%
30.0 1
 
< 0.1%
25.0 2
 
< 0.1%
24.0 515
9.8%
23.0 1
 
< 0.1%
22.0 16
 
0.3%
21.0 9
 
0.2%
20.0 69
 
1.3%

배출시설연간가동일수
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203.09676
Minimum0
Maximum365
Zeros1612
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2023-12-16T04:51:09.888872image/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 deviation138.66739
Coefficient of variation (CV)0.68276518
Kurtosis-1.3869665
Mean203.09676
Median Absolute Deviation (MAD)0
Skewness-0.72128913
Sum1070523
Variance19228.646
MonotonicityNot monotonic
2023-12-16T04:51:11.321482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2838
53.8%
0 1612
30.6%
240 107
 
2.0%
365 73
 
1.4%
312 49
 
0.9%
250 48
 
0.9%
264 47
 
0.9%
360 41
 
0.8%
180 29
 
0.6%
330 26
 
0.5%
Other values (99) 401
 
7.6%
ValueCountFrequency (%)
0 1612
30.6%
5 1
 
< 0.1%
8 3
 
0.1%
10 1
 
< 0.1%
24 2
 
< 0.1%
25 1
 
< 0.1%
30 3
 
0.1%
40 1
 
< 0.1%
48 1
 
< 0.1%
51 1
 
< 0.1%
ValueCountFrequency (%)
365 73
1.4%
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 18
 
0.3%
341 4
 
0.1%
340 19
 
0.4%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)0.7%
Missing470
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean7.5548511
Minimum0
Maximum300
Zeros1554
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2023-12-16T04:51:12.163311image/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 deviation11.483197
Coefficient of variation (CV)1.5199766
Kurtosis350.423
Mean7.5548511
Median Absolute Deviation (MAD)3
Skewness14.893738
Sum36270.84
Variance131.8638
MonotonicityNot monotonic
2023-12-16T04:51:13.106492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
8.0 1872
35.5%
0.0 1554
29.5%
24.0 438
 
8.3%
10.0 260
 
4.9%
6.0 81
 
1.5%
12.0 78
 
1.5%
4.0 71
 
1.3%
7.0 66
 
1.3%
5.0 64
 
1.2%
20.0 59
 
1.1%
Other values (26) 258
 
4.9%
(Missing) 470
 
8.9%
ValueCountFrequency (%)
0.0 1554
29.5%
1.0 11
 
0.2%
1.34 1
 
< 0.1%
2.0 18
 
0.3%
2.5 1
 
< 0.1%
3.0 25
 
0.5%
4.0 71
 
1.3%
5.0 64
 
1.2%
6.0 81
 
1.5%
7.0 66
 
1.3%
ValueCountFrequency (%)
300.0 3
 
0.1%
264.0 1
 
< 0.1%
240.0 1
 
< 0.1%
120.0 1
 
< 0.1%
100.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 3
 
0.1%
24.0 438
8.3%
22.0 12
 
0.2%
21.0 9
 
0.2%

방지시설연간가동일수
Real number (ℝ)

ZEROS 

Distinct98
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.95807
Minimum0
Maximum365
Zeros1991
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2023-12-16T04:51:13.887353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile303
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation145.16223
Coefficient of variation (CV)0.79341804
Kurtosis-1.7569839
Mean182.95807
Median Absolute Deviation (MAD)10
Skewness-0.42679653
Sum964372
Variance21072.074
MonotonicityNot monotonic
2023-12-16T04:51:14.834537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2595
49.2%
0 1991
37.8%
240 95
 
1.8%
365 52
 
1.0%
312 48
 
0.9%
250 46
 
0.9%
264 35
 
0.7%
360 34
 
0.6%
330 26
 
0.5%
280 23
 
0.4%
Other values (88) 326
 
6.2%
ValueCountFrequency (%)
0 1991
37.8%
8 1
 
< 0.1%
24 2
 
< 0.1%
25 1
 
< 0.1%
30 2
 
< 0.1%
40 1
 
< 0.1%
48 1
 
< 0.1%
51 1
 
< 0.1%
60 3
 
0.1%
82 1
 
< 0.1%
ValueCountFrequency (%)
365 52
1.0%
362 1
 
< 0.1%
361 1
 
< 0.1%
360 34
0.6%
358 1
 
< 0.1%
355 1
 
< 0.1%
353 1
 
< 0.1%
352 2
 
< 0.1%
350 17
 
0.3%
341 3
 
0.1%

사업자등록번호
Real number (ℝ)

MISSING 

Distinct3518
Distinct (%)85.9%
Missing1175
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean4.9778229 × 109
Minimum1.6522768 × 108
Maximum8.9915009 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2023-12-16T04:51:15.814440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6522768 × 108
5-th percentile2.515225 × 109
Q15.0320874 × 109
median5.0408317 × 109
Q35.141582 × 109
95-th percentile6.1581269 × 109
Maximum8.9915009 × 109
Range8.8262732 × 109
Interquartile range (IQR)1.094946 × 108

Descriptive statistics

Standard deviation1.031418 × 109
Coefficient of variation (CV)0.20720262
Kurtosis6.7916809
Mean4.9778229 × 109
Median Absolute Deviation (MAD)9885494
Skewness-0.76097754
Sum2.0389163 × 1013
Variance1.063823 × 1018
MonotonicityNot monotonic
2023-12-16T04:51:16.709118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2208160348 10
 
0.2%
1268174308 5
 
0.1%
5042242130 5
 
0.1%
2068650913 5
 
0.1%
5031999945 4
 
0.1%
5048136289 4
 
0.1%
5148144485 4
 
0.1%
5138119101 4
 
0.1%
5148157898 4
 
0.1%
5038199597 4
 
0.1%
Other values (3508) 4047
76.8%
(Missing) 1175
 
22.3%
ValueCountFrequency (%)
165227682 1
 
< 0.1%
530879680 1
 
< 0.1%
1018109147 1
 
< 0.1%
1018143409 1
 
< 0.1%
1028111097 1
 
< 0.1%
1028142945 4
0.1%
1048137225 1
 
< 0.1%
1048612291 1
 
< 0.1%
1048621617 1
 
< 0.1%
1058612595 1
 
< 0.1%
ValueCountFrequency (%)
8991500914 1
< 0.1%
8978100704 1
< 0.1%
8931201739 1
< 0.1%
8920901982 1
< 0.1%
8908600751 1
< 0.1%
8878101521 1
< 0.1%
8868702719 1
< 0.1%
8858601156 1
< 0.1%
8850102880 1
< 0.1%
8838502133 1
< 0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수사업자등록번호
01대기오염물질배출시설설치사업장09_30_08_P34100003410000212022000022022-04-11<NA>1영업/정상11영업<NA><NA><NA><NA>053-661-2000<NA><NA>대구광역시 중구 동인동2가 177-4 중구청대구광역시 중구 국채보상로139길 1, 중구청 (동인동2가)41908대구광역시 중구청2022-04-11 09:47:22I2022-04-13 00:22:33부동산 임대업344977.845663264442.068379대기배출업소관리부동산 임대업5종<NA>7.01477.01475018300020
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23대기오염물질배출시설설치사업장09_30_08_P34100003410000212021000042021-11-17<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동2가 188-1 경북대학교치과병원대구광역시 중구 달구벌대로 2175, 경북대학교치과병원 (삼덕동2가)41940경북대학교치과병원2022-10-18 16:37:04U2022-10-20 02:40:00치과 병원344597.99926263844.348739대기배출업소관리치과 병원5종<NA>120.01204.01202628200093
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