Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells134025
Missing cells (%)28.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory414.0 B

Variable types

Numeric15
Categorical16
Text5
Unsupported8
DateTime2
Boolean1

Dataset

Description22년05월_6270000_대구광역시_07_22_19_P_즉석판매제조가공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093418&dataSetDetailId=DDI_0000093460&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
홈페이지 has constant value ""Constant
업태구분명 is highly imbalanced (99.4%)Imbalance
위생업태명 is highly imbalanced (99.4%)Imbalance
남성종사자수 is highly imbalanced (53.0%)Imbalance
여성종사자수 is highly imbalanced (53.0%)Imbalance
급수시설구분명 is highly imbalanced (58.5%)Imbalance
총종업원수 is highly imbalanced (53.5%)Imbalance
본사종업원수 is highly imbalanced (54.1%)Imbalance
다중이용업소여부 is highly imbalanced (99.7%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 1783 (17.8%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 5569 (55.7%) missing valuesMissing
소재지면적 has 4314 (43.1%) missing valuesMissing
소재지우편번호 has 120 (1.2%) missing valuesMissing
도로명전체주소 has 2665 (26.7%) missing valuesMissing
도로명우편번호 has 2720 (27.2%) missing valuesMissing
좌표정보(X) has 216 (2.2%) missing valuesMissing
좌표정보(Y) has 216 (2.2%) missing valuesMissing
영업장주변구분명 has 10000 (100.0%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
공장판매직종업원수 has 4497 (45.0%) missing valuesMissing
공장생산직종업원수 has 4498 (45.0%) missing valuesMissing
보증액 has 8701 (87.0%) missing valuesMissing
월세액 has 8702 (87.0%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 9999 (> 99.9%) missing valuesMissing
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
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 350 (3.5%) zerosZeros
공장판매직종업원수 has 5138 (51.4%) zerosZeros
공장생산직종업원수 has 5012 (50.1%) zerosZeros
보증액 has 1289 (12.9%) zerosZeros
월세액 has 1289 (12.9%) zerosZeros
시설총규모 has 9618 (96.2%) zerosZeros

Reproduction

Analysis started2024-04-18 01:35:01.198887
Analysis finished2024-04-18 01:35:02.862183
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13084.915
Minimum1
Maximum26165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:02.919261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1347.95
Q16435.5
median13178.5
Q319602.5
95-th percentile24848.25
Maximum26165
Range26164
Interquartile range (IQR)13167

Descriptive statistics

Standard deviation7554.0858
Coefficient of variation (CV)0.57731256
Kurtosis-1.2059037
Mean13084.915
Median Absolute Deviation (MAD)6565
Skewness-0.0022533922
Sum1.3084915 × 108
Variance57064212
MonotonicityNot monotonic
2024-04-18T10:35:03.031386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11017 1
 
< 0.1%
8188 1
 
< 0.1%
15456 1
 
< 0.1%
16405 1
 
< 0.1%
6281 1
 
< 0.1%
16269 1
 
< 0.1%
17744 1
 
< 0.1%
1427 1
 
< 0.1%
3654 1
 
< 0.1%
15688 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
11 1
< 0.1%
13 1
< 0.1%
16 1
< 0.1%
21 1
< 0.1%
22 1
< 0.1%
ValueCountFrequency (%)
26165 1
< 0.1%
26163 1
< 0.1%
26160 1
< 0.1%
26156 1
< 0.1%
26155 1
< 0.1%
26153 1
< 0.1%
26150 1
< 0.1%
26142 1
< 0.1%
26141 1
< 0.1%
26139 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
10000 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 10000
100.0%

Length

2024-04-18T10:35:03.130751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:03.200932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 10000
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_22_19_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_19_P
2nd row07_22_19_P
3rd row07_22_19_P
4th row07_22_19_P
5th row07_22_19_P

Common Values

ValueCountFrequency (%)
07_22_19_P 10000
100.0%

Length

2024-04-18T10:35:03.281031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:03.370440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_19_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446576
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:03.450389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation22513.261
Coefficient of variation (CV)0.0065320657
Kurtosis-1.2642664
Mean3446576
Median Absolute Deviation (MAD)20000
Skewness-0.34411548
Sum3.446576 × 1010
Variance5.0684691 × 108
MonotonicityNot monotonic
2024-04-18T10:35:03.559972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2209
22.1%
3450000 1842
18.4%
3460000 1607
16.1%
3420000 1530
15.3%
3410000 1251
12.5%
3480000 559
 
5.6%
3430000 530
 
5.3%
3440000 472
 
4.7%
ValueCountFrequency (%)
3410000 1251
12.5%
3420000 1530
15.3%
3430000 530
 
5.3%
3440000 472
 
4.7%
3450000 1842
18.4%
3460000 1607
16.1%
3470000 2209
22.1%
3480000 559
 
5.6%
ValueCountFrequency (%)
3480000 559
 
5.6%
3470000 2209
22.1%
3460000 1607
16.1%
3450000 1842
18.4%
3440000 472
 
4.7%
3430000 530
 
5.3%
3420000 1530
15.3%
3410000 1251
12.5%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T10:35:03.735831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row3450000-107-2019-00339
2nd row3470000-107-2019-00465
3rd row3420000-107-2020-00302
4th row3460000-107-2016-00131
5th row3410000-107-2016-00067
ValueCountFrequency (%)
3450000-107-2019-00339 1
 
< 0.1%
3410000-107-1990-00022 1
 
< 0.1%
3460000-107-2020-00008 1
 
< 0.1%
3450000-107-2009-00031 1
 
< 0.1%
3460000-107-2017-00134 1
 
< 0.1%
3460000-107-2016-00113 1
 
< 0.1%
3420000-107-2019-00270 1
 
< 0.1%
3460000-107-2007-00095 1
 
< 0.1%
3460000-107-2019-00327 1
 
< 0.1%
3430000-107-2000-00072 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T10:35:04.002460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91878
41.8%
- 30000
 
13.6%
1 22599
 
10.3%
2 17127
 
7.8%
7 14994
 
6.8%
3 13832
 
6.3%
4 13165
 
6.0%
6 4351
 
2.0%
5 4298
 
2.0%
9 4183
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190000
86.4%
Dash Punctuation 30000
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 91878
48.4%
1 22599
 
11.9%
2 17127
 
9.0%
7 14994
 
7.9%
3 13832
 
7.3%
4 13165
 
6.9%
6 4351
 
2.3%
5 4298
 
2.3%
9 4183
 
2.2%
8 3573
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91878
41.8%
- 30000
 
13.6%
1 22599
 
10.3%
2 17127
 
7.8%
7 14994
 
6.8%
3 13832
 
6.3%
4 13165
 
6.0%
6 4351
 
2.0%
5 4298
 
2.0%
9 4183
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91878
41.8%
- 30000
 
13.6%
1 22599
 
10.3%
2 17127
 
7.8%
7 14994
 
6.8%
3 13832
 
6.3%
4 13165
 
6.0%
6 4351
 
2.0%
5 4298
 
2.0%
9 4183
 
1.9%

인허가일자
Real number (ℝ)

Distinct4442
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20123034
Minimum19720425
Maximum20220527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:04.120821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19720425
5-th percentile19980107
Q120070603
median20160108
Q320190608
95-th percentile20211007
Maximum20220527
Range500102
Interquartile range (IQR)120004.5

Descriptive statistics

Standard deviation82963.647
Coefficient of variation (CV)0.0041228201
Kurtosis1.3766184
Mean20123034
Median Absolute Deviation (MAD)49995.5
Skewness-1.1214423
Sum2.0123034 × 1011
Variance6.8829668 × 109
MonotonicityNot monotonic
2024-04-18T10:35:04.240661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000229 59
 
0.6%
20000228 55
 
0.5%
19960328 29
 
0.3%
19960320 19
 
0.2%
20201214 13
 
0.1%
20030617 13
 
0.1%
20210621 12
 
0.1%
20190207 12
 
0.1%
20190430 12
 
0.1%
20220224 11
 
0.1%
Other values (4432) 9765
97.7%
ValueCountFrequency (%)
19720425 1
< 0.1%
19720501 1
< 0.1%
19720509 1
< 0.1%
19720531 1
< 0.1%
19720701 1
< 0.1%
19720707 1
< 0.1%
19721031 1
< 0.1%
19730407 1
< 0.1%
19731002 1
< 0.1%
19731227 1
< 0.1%
ValueCountFrequency (%)
20220527 2
 
< 0.1%
20220526 1
 
< 0.1%
20220525 2
 
< 0.1%
20220524 1
 
< 0.1%
20220523 6
0.1%
20220520 1
 
< 0.1%
20220519 5
0.1%
20220518 2
 
< 0.1%
20220517 4
< 0.1%
20220516 4
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
8217 
1
1783 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 8217
82.2%
1 1783
 
17.8%

Length

2024-04-18T10:35:04.337763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:04.409209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8217
82.2%
1 1783
 
17.8%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8217 
영업/정상
1783 

Length

Max length5
Median length2
Mean length2.5349
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8217
82.2%
영업/정상 1783
 
17.8%

Length

2024-04-18T10:35:04.489506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:04.572299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8217
82.2%
영업/정상 1783
 
17.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8217 
1
1783 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 8217
82.2%
1 1783
 
17.8%

Length

2024-04-18T10:35:04.651911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:04.725284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8217
82.2%
1 1783
 
17.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8217 
영업
1783 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8217
82.2%
영업 1783
 
17.8%

Length

2024-04-18T10:35:04.802193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:04.872389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8217
82.2%
영업 1783
 
17.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct3839
Distinct (%)46.7%
Missing1783
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean20145649
Minimum20000212
Maximum20220526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:04.958789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000212
5-th percentile20040531
Q120100629
median20170102
Q320190828
95-th percentile20211027
Maximum20220526
Range220314
Interquartile range (IQR)90199

Descriptive statistics

Standard deviation56461.702
Coefficient of variation (CV)0.0028026748
Kurtosis-0.85174356
Mean20145649
Median Absolute Deviation (MAD)38876
Skewness-0.61693195
Sum1.655368 × 1011
Variance3.1879238 × 109
MonotonicityNot monotonic
2024-04-18T10:35:05.070833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141014 19
 
0.2%
20141230 12
 
0.1%
20200603 11
 
0.1%
20201202 11
 
0.1%
20170426 11
 
0.1%
20170531 11
 
0.1%
20200227 10
 
0.1%
20200102 10
 
0.1%
20200109 10
 
0.1%
20211111 10
 
0.1%
Other values (3829) 8102
81.0%
(Missing) 1783
 
17.8%
ValueCountFrequency (%)
20000212 1
< 0.1%
20000310 1
< 0.1%
20000617 1
< 0.1%
20000626 1
< 0.1%
20000719 1
< 0.1%
20000921 1
< 0.1%
20001017 1
< 0.1%
20010116 1
< 0.1%
20010131 1
< 0.1%
20010316 1
< 0.1%
ValueCountFrequency (%)
20220526 2
< 0.1%
20220525 2
< 0.1%
20220524 1
 
< 0.1%
20220523 3
< 0.1%
20220522 3
< 0.1%
20220521 1
 
< 0.1%
20220520 1
 
< 0.1%
20220519 1
 
< 0.1%
20220518 1
 
< 0.1%
20220516 3
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지전화
Text

MISSING 

Distinct3508
Distinct (%)79.2%
Missing5569
Missing (%)55.7%
Memory size156.2 KiB
2024-04-18T10:35:05.325092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.842699
Min length3

Characters and Unicode

Total characters48044
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

Unique3205 ?
Unique (%)72.3%

Sample

1st row062 5245248
2nd row053 285 5582
3rd row053 762 3735
4th row053 751 7143
5th row053 9540204
ValueCountFrequency (%)
053 2786
28.9%
031 272
 
2.8%
02 148
 
1.5%
055 106
 
1.1%
051 80
 
0.8%
070 73
 
0.8%
062 43
 
0.4%
032 38
 
0.4%
054 32
 
0.3%
325 32
 
0.3%
Other values (3645) 6043
62.6%
2024-04-18T10:35:05.682125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7362
15.3%
0 7234
15.1%
3 6386
13.3%
5385
11.2%
2 4232
8.8%
6 3279
6.8%
1 3260
6.8%
7 3092
6.4%
4 2763
 
5.8%
8 2715
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42659
88.8%
Space Separator 5385
 
11.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7362
17.3%
0 7234
17.0%
3 6386
15.0%
2 4232
9.9%
6 3279
7.7%
1 3260
7.6%
7 3092
7.2%
4 2763
 
6.5%
8 2715
 
6.4%
9 2336
 
5.5%
Space Separator
ValueCountFrequency (%)
5385
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48044
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7362
15.3%
0 7234
15.1%
3 6386
13.3%
5385
11.2%
2 4232
8.8%
6 3279
6.8%
1 3260
6.8%
7 3092
6.4%
4 2763
 
5.8%
8 2715
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48044
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7362
15.3%
0 7234
15.1%
3 6386
13.3%
5385
11.2%
2 4232
8.8%
6 3279
6.8%
1 3260
6.8%
7 3092
6.4%
4 2763
 
5.8%
8 2715
 
5.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct1955
Distinct (%)34.4%
Missing4314
Missing (%)43.1%
Infinite0
Infinite (%)0.0%
Mean22.139177
Minimum0
Maximum909
Zeros350
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:05.835448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median16
Q331
95-th percentile60.7825
Maximum909
Range909
Interquartile range (IQR)25

Descriptive statistics

Standard deviation26.746079
Coefficient of variation (CV)1.2080882
Kurtosis236.1378
Mean22.139177
Median Absolute Deviation (MAD)11.505
Skewness9.3498389
Sum125883.36
Variance715.35274
MonotonicityNot monotonic
2024-04-18T10:35:05.970735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 350
 
3.5%
3.3 178
 
1.8%
6.0 175
 
1.8%
4.0 117
 
1.2%
6.6 90
 
0.9%
10.0 73
 
0.7%
5.0 71
 
0.7%
3.0 70
 
0.7%
2.0 68
 
0.7%
33.0 62
 
0.6%
Other values (1945) 4432
44.3%
(Missing) 4314
43.1%
ValueCountFrequency (%)
0.0 350
3.5%
0.32 1
 
< 0.1%
0.5 2
 
< 0.1%
0.84 1
 
< 0.1%
0.85 1
 
< 0.1%
0.99 1
 
< 0.1%
1.0 21
 
0.2%
1.08 1
 
< 0.1%
1.16 1
 
< 0.1%
1.2 5
 
0.1%
ValueCountFrequency (%)
909.0 1
< 0.1%
433.0 1
< 0.1%
337.0 1
< 0.1%
312.92 1
< 0.1%
303.0 1
< 0.1%
299.52 1
< 0.1%
243.76 1
< 0.1%
194.78 1
< 0.1%
189.23 1
< 0.1%
186.0 1
< 0.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct586
Distinct (%)5.9%
Missing120
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean704000.85
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:06.100793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700092
Q1701860
median703824
Q3705806
95-th percentile706852
Maximum711893
Range11883
Interquartile range (IQR)3946

Descriptive statistics

Standard deviation2695.8022
Coefficient of variation (CV)0.0038292599
Kurtosis1.0975944
Mean704000.85
Median Absolute Deviation (MAD)1976
Skewness0.89181672
Sum6.9555284 × 109
Variance7267349.5
MonotonicityNot monotonic
2024-04-18T10:35:06.212881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701020 422
 
4.2%
704923 349
 
3.5%
700082 321
 
3.2%
706803 287
 
2.9%
704722 280
 
2.8%
700718 269
 
2.7%
702886 251
 
2.5%
704800 233
 
2.3%
702746 220
 
2.2%
704808 190
 
1.9%
Other values (576) 7058
70.6%
ValueCountFrequency (%)
700010 3
 
< 0.1%
700020 2
 
< 0.1%
700030 1
 
< 0.1%
700040 3
 
< 0.1%
700060 5
 
0.1%
700070 156
1.6%
700081 1
 
< 0.1%
700082 321
3.2%
700092 69
 
0.7%
700093 3
 
< 0.1%
ValueCountFrequency (%)
711893 1
 
< 0.1%
711892 1
 
< 0.1%
711891 15
 
0.1%
711874 53
0.5%
711873 9
 
0.1%
711871 1
 
< 0.1%
711864 10
 
0.1%
711863 6
 
0.1%
711862 2
 
< 0.1%
711858 1
 
< 0.1%

소재지전체주소
Text

Distinct5269
Distinct (%)52.8%
Missing25
Missing (%)0.2%
Memory size156.2 KiB
2024-04-18T10:35:06.472888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length25.523008
Min length16

Characters and Unicode

Total characters254592
Distinct characters416
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4659 ?
Unique (%)46.7%

Sample

1st row대구광역시 북구 산격동 1260-1
2nd row대구광역시 달서구 상인동 1502 롯데백화점상인점
3rd row대구광역시 동구 신천동 1506 신세계동대구복합환승센터
4th row대구광역시 수성구 매호동 1343-7
5th row대구광역시 중구 계산동2가 0200 현대백화점 지하1층 식품관
ValueCountFrequency (%)
대구광역시 9975
 
20.1%
달서구 2205
 
4.5%
북구 1820
 
3.7%
수성구 1606
 
3.2%
동구 1530
 
3.1%
중구 1252
 
2.5%
1층 597
 
1.2%
상인동 591
 
1.2%
달성군 560
 
1.1%
칠성동2가 552
 
1.1%
Other values (5487) 28827
58.2%
2024-04-18T10:35:06.872330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49169
19.3%
구 20463
 
8.0%
대 12779
 
5.0%
동 12695
 
5.0%
1 12312
 
4.8%
시 10252
 
4.0%
역 10140
 
4.0%
광 9982
 
3.9%
0 7889
 
3.1%
2 6913
 
2.7%
Other values (406) 101998
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145640
57.2%
Decimal Number 51244
 
20.1%
Space Separator 49169
 
19.3%
Dash Punctuation 6435
 
2.5%
Open Punctuation 581
 
0.2%
Close Punctuation 575
 
0.2%
Uppercase Letter 426
 
0.2%
Lowercase Letter 259
 
0.1%
Other Punctuation 245
 
0.1%
Math Symbol 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 20463
 
14.1%
대 12779
 
8.8%
동 12695
 
8.7%
시 10252
 
7.0%
역 10140
 
7.0%
광 9982
 
6.9%
성 3912
 
2.7%
서 3176
 
2.2%
달 2851
 
2.0%
점 2338
 
1.6%
Other values (357) 57052
39.2%
Uppercase Letter
ValueCountFrequency (%)
A 102
23.9%
B 90
21.1%
S 73
17.1%
K 50
11.7%
H 37
 
8.7%
G 15
 
3.5%
T 10
 
2.3%
C 10
 
2.3%
M 9
 
2.1%
P 8
 
1.9%
Other values (9) 22
 
5.2%
Decimal Number
ValueCountFrequency (%)
1 12312
24.0%
0 7889
15.4%
2 6913
13.5%
5 5819
11.4%
3 4754
 
9.3%
6 3490
 
6.8%
4 3162
 
6.2%
7 2332
 
4.6%
8 2313
 
4.5%
9 2260
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
e 46
17.8%
o 36
13.9%
l 35
13.5%
m 35
13.5%
u 35
13.5%
p 35
13.5%
s 35
13.5%
k 1
 
0.4%
b 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 194
79.2%
. 36
 
14.7%
/ 9
 
3.7%
@ 5
 
2.0%
: 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 14
77.8%
+ 4
 
22.2%
Space Separator
ValueCountFrequency (%)
49169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6435
100.0%
Open Punctuation
ValueCountFrequency (%)
( 581
100.0%
Close Punctuation
ValueCountFrequency (%)
) 575
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145636
57.2%
Common 108267
42.5%
Latin 685
 
0.3%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 20463
 
14.1%
대 12779
 
8.8%
동 12695
 
8.7%
시 10252
 
7.0%
역 10140
 
7.0%
광 9982
 
6.9%
성 3912
 
2.7%
서 3176
 
2.2%
달 2851
 
2.0%
점 2338
 
1.6%
Other values (356) 57048
39.2%
Latin
ValueCountFrequency (%)
A 102
14.9%
B 90
13.1%
S 73
10.7%
K 50
 
7.3%
e 46
 
6.7%
H 37
 
5.4%
o 36
 
5.3%
l 35
 
5.1%
m 35
 
5.1%
u 35
 
5.1%
Other values (18) 146
21.3%
Common
ValueCountFrequency (%)
49169
45.4%
1 12312
 
11.4%
0 7889
 
7.3%
2 6913
 
6.4%
- 6435
 
5.9%
5 5819
 
5.4%
3 4754
 
4.4%
6 3490
 
3.2%
4 3162
 
2.9%
7 2332
 
2.2%
Other values (11) 5992
 
5.5%
Han
ValueCountFrequency (%)
內 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145636
57.2%
ASCII 108952
42.8%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49169
45.1%
1 12312
 
11.3%
0 7889
 
7.2%
2 6913
 
6.3%
- 6435
 
5.9%
5 5819
 
5.3%
3 4754
 
4.4%
6 3490
 
3.2%
4 3162
 
2.9%
7 2332
 
2.1%
Other values (39) 6677
 
6.1%
Hangul
ValueCountFrequency (%)
구 20463
 
14.1%
대 12779
 
8.8%
동 12695
 
8.7%
시 10252
 
7.0%
역 10140
 
7.0%
광 9982
 
6.9%
성 3912
 
2.7%
서 3176
 
2.2%
달 2851
 
2.0%
점 2338
 
1.6%
Other values (356) 57048
39.2%
CJK
ValueCountFrequency (%)
內 4
100.0%

도로명전체주소
Text

MISSING 

Distinct4105
Distinct (%)56.0%
Missing2665
Missing (%)26.7%
Memory size156.2 KiB
2024-04-18T10:35:07.137511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length51
Mean length32.438855
Min length19

Characters and Unicode

Total characters237939
Distinct characters433
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3641 ?
Unique (%)49.6%

Sample

1st row대구광역시 북구 동북로 160 (산격동)
2nd row대구광역시 달서구 월배로 232, 롯데백화점 상인점 지하1층 (상인동)
3rd row대구광역시 동구 동부로 149, 신세계동대구복합환승센터 지하 1층 (신천동)
4th row대구광역시 수성구 달구벌대로631길 5 (매호동)
5th row대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점 지하1층 식품관)
ValueCountFrequency (%)
대구광역시 7335
 
15.6%
1층 2082
 
4.4%
달서구 1568
 
3.3%
동구 1282
 
2.7%
북구 1248
 
2.7%
수성구 1204
 
2.6%
지하1층 1124
 
2.4%
중구 932
 
2.0%
달구벌대로 771
 
1.6%
신천동 472
 
1.0%
Other values (3609) 29010
61.7%
2024-04-18T10:35:07.540226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39718
 
16.7%
구 16360
 
6.9%
대 11306
 
4.8%
동 11199
 
4.7%
1 9661
 
4.1%
시 7660
 
3.2%
역 7536
 
3.2%
광 7340
 
3.1%
로 7312
 
3.1%
( 7140
 
3.0%
Other values (423) 112707
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144379
60.7%
Space Separator 39718
 
16.7%
Decimal Number 31480
 
13.2%
Open Punctuation 7140
 
3.0%
Close Punctuation 7140
 
3.0%
Other Punctuation 6583
 
2.8%
Dash Punctuation 869
 
0.4%
Uppercase Letter 387
 
0.2%
Lowercase Letter 232
 
0.1%
Math Symbol 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 16360
 
11.3%
대 11306
 
7.8%
동 11199
 
7.8%
시 7660
 
5.3%
역 7536
 
5.2%
광 7340
 
5.1%
로 7312
 
5.1%
층 4017
 
2.8%
성 3528
 
2.4%
달 3076
 
2.1%
Other values (375) 65045
45.1%
Uppercase Letter
ValueCountFrequency (%)
S 79
20.4%
A 74
19.1%
B 73
18.9%
K 63
16.3%
H 34
8.8%
C 16
 
4.1%
M 10
 
2.6%
G 6
 
1.6%
T 6
 
1.6%
E 5
 
1.3%
Other values (8) 21
 
5.4%
Decimal Number
ValueCountFrequency (%)
1 9661
30.7%
2 4858
15.4%
3 3412
 
10.8%
4 2474
 
7.9%
0 2256
 
7.2%
6 2018
 
6.4%
7 1950
 
6.2%
9 1924
 
6.1%
5 1512
 
4.8%
8 1415
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 39
16.8%
o 32
13.8%
s 32
13.8%
u 31
13.4%
m 31
13.4%
p 31
13.4%
l 31
13.4%
b 4
 
1.7%
k 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 6568
99.8%
. 10
 
0.2%
/ 3
 
< 0.1%
: 1
 
< 0.1%
@ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 7
63.6%
+ 4
36.4%
Space Separator
ValueCountFrequency (%)
39718
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 869
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144379
60.7%
Common 92941
39.1%
Latin 619
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 16360
 
11.3%
대 11306
 
7.8%
동 11199
 
7.8%
시 7660
 
5.3%
역 7536
 
5.2%
광 7340
 
5.1%
로 7312
 
5.1%
층 4017
 
2.8%
성 3528
 
2.4%
달 3076
 
2.1%
Other values (375) 65045
45.1%
Latin
ValueCountFrequency (%)
S 79
12.8%
A 74
12.0%
B 73
11.8%
K 63
10.2%
e 39
 
6.3%
H 34
 
5.5%
o 32
 
5.2%
s 32
 
5.2%
u 31
 
5.0%
m 31
 
5.0%
Other values (17) 131
21.2%
Common
ValueCountFrequency (%)
39718
42.7%
1 9661
 
10.4%
( 7140
 
7.7%
) 7140
 
7.7%
, 6568
 
7.1%
2 4858
 
5.2%
3 3412
 
3.7%
4 2474
 
2.7%
0 2256
 
2.4%
6 2018
 
2.2%
Other values (11) 7696
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144379
60.7%
ASCII 93560
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39718
42.5%
1 9661
 
10.3%
( 7140
 
7.6%
) 7140
 
7.6%
, 6568
 
7.0%
2 4858
 
5.2%
3 3412
 
3.6%
4 2474
 
2.6%
0 2256
 
2.4%
6 2018
 
2.2%
Other values (38) 8315
 
8.9%
Hangul
ValueCountFrequency (%)
구 16360
 
11.3%
대 11306
 
7.8%
동 11199
 
7.8%
시 7660
 
5.3%
역 7536
 
5.2%
광 7340
 
5.1%
로 7312
 
5.1%
층 4017
 
2.8%
성 3528
 
2.4%
달 3076
 
2.1%
Other values (375) 65045
45.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1011
Distinct (%)13.9%
Missing2720
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean42010.173
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:07.656765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41097
Q141519
median41953
Q342620
95-th percentile42920
Maximum43024
Range2024
Interquartile range (IQR)1101

Descriptive statistics

Standard deviation590.77564
Coefficient of variation (CV)0.01406268
Kurtosis-1.2169834
Mean42010.173
Median Absolute Deviation (MAD)524
Skewness0.022685446
Sum3.0583406 × 108
Variance349015.86
MonotonicityNot monotonic
2024-04-18T10:35:08.288422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41229 438
 
4.4%
41936 432
 
4.3%
42637 251
 
2.5%
42037 236
 
2.4%
42809 227
 
2.3%
41953 226
 
2.3%
41581 196
 
2.0%
42778 191
 
1.9%
41422 135
 
1.4%
41084 134
 
1.3%
Other values (1001) 4814
48.1%
(Missing) 2720
27.2%
ValueCountFrequency (%)
41000 2
 
< 0.1%
41001 5
 
0.1%
41002 9
0.1%
41005 9
0.1%
41007 1
 
< 0.1%
41008 4
 
< 0.1%
41009 2
 
< 0.1%
41020 1
 
< 0.1%
41025 1
 
< 0.1%
41026 19
0.2%
ValueCountFrequency (%)
43024 5
 
0.1%
43020 1
 
< 0.1%
43018 19
0.2%
43017 10
0.1%
43015 2
 
< 0.1%
43014 7
 
0.1%
43010 5
 
0.1%
43009 4
 
< 0.1%
43008 5
 
0.1%
43007 1
 
< 0.1%

사업장명
Text

Distinct5550
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T10:35:08.484614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length6.1089
Min length1

Characters and Unicode

Total characters61089
Distinct characters854
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4543 ?
Unique (%)45.4%

Sample

1st row맛본
2nd row푸드트립
3rd row별똥밭
4th row반찬세상
5th row(주)삼화농산
ValueCountFrequency (%)
주식회사 281
 
2.6%
주)부촌푸드 113
 
1.0%
은호유통 91
 
0.8%
주)미트벨리 75
 
0.7%
주)정성 73
 
0.7%
제이수산 69
 
0.6%
주)인네이처 69
 
0.6%
한아름농특산 60
 
0.6%
주경식품 60
 
0.6%
수라원 58
 
0.5%
Other values (5748) 9950
91.3%
2024-04-18T10:35:08.805158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2476
 
4.1%
) 2159
 
3.5%
( 2102
 
3.4%
식 1393
 
2.3%
산 1339
 
2.2%
드 979
 
1.6%
이 967
 
1.6%
원 923
 
1.5%
901
 
1.5%
사 813
 
1.3%
Other values (844) 47037
77.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54648
89.5%
Close Punctuation 2159
 
3.5%
Open Punctuation 2102
 
3.4%
Space Separator 901
 
1.5%
Lowercase Letter 512
 
0.8%
Uppercase Letter 500
 
0.8%
Decimal Number 136
 
0.2%
Other Punctuation 106
 
0.2%
Dash Punctuation 17
 
< 0.1%
Letter Number 5
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2476
 
4.5%
식 1393
 
2.5%
산 1339
 
2.5%
드 979
 
1.8%
이 967
 
1.8%
원 923
 
1.7%
사 813
 
1.5%
푸 791
 
1.4%
품 785
 
1.4%
마 719
 
1.3%
Other values (767) 43463
79.5%
Lowercase Letter
ValueCountFrequency (%)
e 70
13.7%
o 58
11.3%
a 55
10.7%
i 36
 
7.0%
n 35
 
6.8%
r 30
 
5.9%
t 29
 
5.7%
s 24
 
4.7%
m 21
 
4.1%
u 19
 
3.7%
Other values (15) 135
26.4%
Uppercase Letter
ValueCountFrequency (%)
O 48
 
9.6%
E 42
 
8.4%
F 41
 
8.2%
S 35
 
7.0%
A 32
 
6.4%
T 29
 
5.8%
D 26
 
5.2%
C 25
 
5.0%
N 24
 
4.8%
I 24
 
4.8%
Other values (14) 174
34.8%
Other Punctuation
ValueCountFrequency (%)
& 34
32.1%
. 32
30.2%
, 19
17.9%
' 5
 
4.7%
! 5
 
4.7%
: 4
 
3.8%
/ 3
 
2.8%
; 2
 
1.9%
· 1
 
0.9%
? 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 33
24.3%
2 28
20.6%
9 19
14.0%
0 13
 
9.6%
5 11
 
8.1%
6 9
 
6.6%
3 7
 
5.1%
8 7
 
5.1%
4 6
 
4.4%
7 3
 
2.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 2159
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2102
100.0%
Space Separator
ValueCountFrequency (%)
901
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54635
89.4%
Common 5424
 
8.9%
Latin 1017
 
1.7%
Han 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2476
 
4.5%
식 1393
 
2.5%
산 1339
 
2.5%
드 979
 
1.8%
이 967
 
1.8%
원 923
 
1.7%
사 813
 
1.5%
푸 791
 
1.4%
품 785
 
1.4%
마 719
 
1.3%
Other values (758) 43450
79.5%
Latin
ValueCountFrequency (%)
e 70
 
6.9%
o 58
 
5.7%
a 55
 
5.4%
O 48
 
4.7%
E 42
 
4.1%
F 41
 
4.0%
i 36
 
3.5%
S 35
 
3.4%
n 35
 
3.4%
A 32
 
3.1%
Other values (41) 565
55.6%
Common
ValueCountFrequency (%)
) 2159
39.8%
( 2102
38.8%
901
16.6%
& 34
 
0.6%
1 33
 
0.6%
. 32
 
0.6%
2 28
 
0.5%
, 19
 
0.4%
9 19
 
0.4%
- 17
 
0.3%
Other values (16) 80
 
1.5%
Han
ValueCountFrequency (%)
內 5
38.5%
眞 1
 
7.7%
愛 1
 
7.7%
男 1
 
7.7%
蓮 1
 
7.7%
美 1
 
7.7%
微 1
 
7.7%
大 1
 
7.7%
好 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54635
89.4%
ASCII 6435
 
10.5%
CJK 13
 
< 0.1%
Number Forms 5
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2476
 
4.5%
식 1393
 
2.5%
산 1339
 
2.5%
드 979
 
1.8%
이 967
 
1.8%
원 923
 
1.7%
사 813
 
1.5%
푸 791
 
1.4%
품 785
 
1.4%
마 719
 
1.3%
Other values (758) 43450
79.5%
ASCII
ValueCountFrequency (%)
) 2159
33.6%
( 2102
32.7%
901
14.0%
e 70
 
1.1%
o 58
 
0.9%
a 55
 
0.9%
O 48
 
0.7%
E 42
 
0.7%
F 41
 
0.6%
i 36
 
0.6%
Other values (64) 923
14.3%
CJK
ValueCountFrequency (%)
內 5
38.5%
眞 1
 
7.7%
愛 1
 
7.7%
男 1
 
7.7%
蓮 1
 
7.7%
美 1
 
7.7%
微 1
 
7.7%
大 1
 
7.7%
好 1
 
7.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

Distinct7795
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0145389 × 1013
Minimum2.0010821 × 1013
Maximum2.0220527 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:08.915172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010821 × 1013
5-th percentile2.0021028 × 1013
Q12.0091228 × 1013
median2.0170803 × 1013
Q32.0200214 × 1013
95-th percentile2.0211224 × 1013
Maximum2.0220527 × 1013
Range2.0970614 × 1011
Interquartile range (IQR)1.0898616 × 1011

Descriptive statistics

Standard deviation6.280971 × 1010
Coefficient of variation (CV)0.0031178207
Kurtosis-0.87252988
Mean2.0145389 × 1013
Median Absolute Deviation (MAD)3.9721501 × 1010
Skewness-0.68240696
Sum2.0145389 × 1017
Variance3.9450597 × 1021
MonotonicityNot monotonic
2024-04-18T10:35:09.042013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021028000000 49
 
0.5%
20041011000000 39
 
0.4%
20021021000000 36
 
0.4%
20031218000000 27
 
0.3%
20021023000000 21
 
0.2%
20010822000000 20
 
0.2%
20020725000000 19
 
0.2%
20020530000000 16
 
0.2%
20011119000000 16
 
0.2%
20020201000000 16
 
0.2%
Other values (7785) 9741
97.4%
ValueCountFrequency (%)
20010821000000 10
0.1%
20010822000000 20
0.2%
20011015000000 1
 
< 0.1%
20011029000000 1
 
< 0.1%
20011110000000 2
 
< 0.1%
20011116000000 7
 
0.1%
20011119000000 16
0.2%
20011120000000 11
0.1%
20011121000000 9
0.1%
20011122000000 3
 
< 0.1%
ValueCountFrequency (%)
20220527143552 1
< 0.1%
20220527143420 1
< 0.1%
20220527132908 1
< 0.1%
20220527111929 1
< 0.1%
20220527111655 1
< 0.1%
20220527095541 1
< 0.1%
20220526171948 1
< 0.1%
20220526171122 1
< 0.1%
20220526164431 1
< 0.1%
20220526160445 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
6368 
U
3632 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6368
63.7%
U 3632
36.3%

Length

2024-04-18T10:35:09.141420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:09.213817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6368
63.7%
u 3632
36.3%

데이터갱신일자
Date

Distinct1289
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-05-29 02:40:00
2024-04-18T10:35:09.296516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T10:35:09.401082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9993 
기타
 
6
<NA>
 
1

Length

Max length9
Median length9
Mean length8.9953
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9993
99.9%
기타 6
 
0.1%
<NA> 1
 
< 0.1%

Length

2024-04-18T10:35:09.508446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:09.613800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9993
99.9%
기타 6
 
0.1%
na 1
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3781
Distinct (%)38.6%
Missing216
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean343236.24
Minimum326018.88
Maximum358511.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:09.709382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326018.88
5-th percentile335187.68
Q1339340.98
median343588.74
Q3346892.28
95-th percentile353618.46
Maximum358511.63
Range32492.749
Interquartile range (IQR)7551.3033

Descriptive statistics

Standard deviation5257.3237
Coefficient of variation (CV)0.015316925
Kurtosis0.20855626
Mean343236.24
Median Absolute Deviation (MAD)3626.3774
Skewness0.14086354
Sum3.3582234 × 109
Variance27639452
MonotonicityNot monotonic
2024-04-18T10:35:09.820731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347037.24197 420
 
4.2%
339047.793379 371
 
3.7%
345032.238221 336
 
3.4%
343588.735555 308
 
3.1%
337916.079938 274
 
2.7%
347757.985568 273
 
2.7%
344047.164924 250
 
2.5%
337647.188647 223
 
2.2%
340320.72271 218
 
2.2%
348194.499421 180
 
1.8%
Other values (3771) 6931
69.3%
(Missing) 216
 
2.2%
ValueCountFrequency (%)
326018.881016 1
< 0.1%
326755.194077 1
< 0.1%
326766.322228 1
< 0.1%
327243.505278 1
< 0.1%
327254.229824 1
< 0.1%
327316.443399 1
< 0.1%
327555.474935 1
< 0.1%
327606.504994 2
< 0.1%
327646.719828 1
< 0.1%
327727.088386 1
< 0.1%
ValueCountFrequency (%)
358511.630306 1
< 0.1%
358070.673997 1
< 0.1%
358046.403776 1
< 0.1%
357990.643845 1
< 0.1%
357987.298886 1
< 0.1%
357946.747249 1
< 0.1%
357870.136201 1
< 0.1%
356484.612255 1
< 0.1%
356437.392326 1
< 0.1%
356429.740533 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3779
Distinct (%)38.6%
Missing216
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean263298.98
Minimum236957.35
Maximum278117.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:09.939327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236957.35
5-th percentile257900.8
Q1261238.96
median263517.86
Q3265407.4
95-th percentile271412.22
Maximum278117.39
Range41160.034
Interquartile range (IQR)4168.4442

Descriptive statistics

Standard deviation4419.5433
Coefficient of variation (CV)0.016785265
Kurtosis4.7009189
Mean263298.98
Median Absolute Deviation (MAD)1889.5424
Skewness-0.9511319
Sum2.5761173 × 109
Variance19532363
MonotonicityNot monotonic
2024-04-18T10:35:10.055658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265407.404337 420
 
4.2%
258741.90218 371
 
3.7%
262949.871621 336
 
3.4%
264119.01075 308
 
3.1%
262111.061698 274
 
2.7%
264692.74418 273
 
2.7%
265132.987974 250
 
2.5%
258512.316695 223
 
2.2%
272735.67566 218
 
2.2%
259144.519321 180
 
1.8%
Other values (3769) 6931
69.3%
(Missing) 216
 
2.2%
ValueCountFrequency (%)
236957.354292 1
 
< 0.1%
239240.086699 1
 
< 0.1%
239740.620046 1
 
< 0.1%
240358.722944 3
< 0.1%
240416.380666 1
 
< 0.1%
240627.674884 1
 
< 0.1%
240649.764742 2
< 0.1%
240715.556299 1
 
< 0.1%
240727.146925 1
 
< 0.1%
240737.702806 1
 
< 0.1%
ValueCountFrequency (%)
278117.387967 1
< 0.1%
277587.768931 1
< 0.1%
277489.106534 2
< 0.1%
277348.717166 1
< 0.1%
277335.082613 1
< 0.1%
277097.799604 1
< 0.1%
277076.243491 1
< 0.1%
276886.297805 1
< 0.1%
276596.005371 1
< 0.1%
275973.687186 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9993 
기타
 
6
<NA>
 
1

Length

Max length9
Median length9
Mean length8.9953
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9993
99.9%
기타 6
 
0.1%
<NA> 1
 
< 0.1%

Length

2024-04-18T10:35:10.163342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:10.244751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9993
99.9%
기타 6
 
0.1%
na 1
 
< 0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8998 
0
1002 

Length

Max length4
Median length4
Mean length3.6994
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8998
90.0%
0 1002
 
10.0%

Length

2024-04-18T10:35:10.327467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:10.401313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8998
90.0%
0 1002
 
10.0%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8998 
0
1002 

Length

Max length4
Median length4
Mean length3.6994
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8998
90.0%
0 1002
 
10.0%

Length

2024-04-18T10:35:10.481496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:10.555636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8998
90.0%
0 1002
 
10.0%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7430 
상수도전용
2562 
전용상수도(특정시설의 자가용 수도)
 
4
지하수전용
 
4

Length

Max length19
Median length4
Mean length4.2626
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row상수도전용
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7430
74.3%
상수도전용 2562
 
25.6%
전용상수도(특정시설의 자가용 수도) 4
 
< 0.1%
지하수전용 4
 
< 0.1%

Length

2024-04-18T10:35:10.640210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:10.731465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7430
74.2%
상수도전용 2562
 
25.6%
전용상수도(특정시설의 4
 
< 0.1%
자가용 4
 
< 0.1%
수도 4
 
< 0.1%
지하수전용 4
 
< 0.1%

총종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9012 
0
988 

Length

Max length4
Median length4
Mean length3.7036
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9012
90.1%
0 988
 
9.9%

Length

2024-04-18T10:35:10.818877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:10.916545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9012
90.1%
0 988
 
9.9%

본사종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5405 
<NA>
4500 
1
 
86
2
 
8
4
 
1

Length

Max length4
Median length1
Mean length2.35
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5405
54.0%
<NA> 4500
45.0%
1 86
 
0.9%
2 8
 
0.1%
4 1
 
< 0.1%

Length

2024-04-18T10:35:11.004049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:11.107941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5405
54.0%
na 4500
45.0%
1 86
 
0.9%
2 8
 
0.1%
4 1
 
< 0.1%

공장사무직종업원수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5481 
<NA>
4499 
1
 
20

Length

Max length4
Median length1
Mean length2.3497
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5481
54.8%
<NA> 4499
45.0%
1 20
 
0.2%

Length

2024-04-18T10:35:11.208213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:11.286892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5481
54.8%
na 4499
45.0%
1 20
 
0.2%

공장판매직종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.1%
Missing4497
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean0.074686535
Minimum0
Maximum5
Zeros5138
Zeros (%)51.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:11.375759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.30034024
Coefficient of variation (CV)4.0213439
Kurtosis35.882681
Mean0.074686535
Median Absolute Deviation (MAD)0
Skewness5.0166207
Sum411
Variance0.090204259
MonotonicityNot monotonic
2024-04-18T10:35:11.481075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5138
51.4%
1 327
 
3.3%
2 33
 
0.3%
3 3
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
(Missing) 4497
45.0%
ValueCountFrequency (%)
0 5138
51.4%
1 327
 
3.3%
2 33
 
0.3%
3 3
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 1
 
< 0.1%
3 3
 
< 0.1%
2 33
 
0.3%
1 327
 
3.3%
0 5138
51.4%

공장생산직종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.1%
Missing4498
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean0.11468557
Minimum0
Maximum6
Zeros5012
Zeros (%)50.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:11.561816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.41130927
Coefficient of variation (CV)3.5864082
Kurtosis33.097143
Mean0.11468557
Median Absolute Deviation (MAD)0
Skewness4.8048158
Sum631
Variance0.16917531
MonotonicityNot monotonic
2024-04-18T10:35:11.638704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5012
50.1%
1 377
 
3.8%
2 96
 
1.0%
3 10
 
0.1%
4 5
 
0.1%
6 2
 
< 0.1%
(Missing) 4498
45.0%
ValueCountFrequency (%)
0 5012
50.1%
1 377
 
3.8%
2 96
 
1.0%
3 10
 
0.1%
4 5
 
0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
6 2
 
< 0.1%
4 5
 
0.1%
3 10
 
0.1%
2 96
 
1.0%
1 377
 
3.8%
0 5012
50.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7073 
자가
1752 
임대
1175 

Length

Max length4
Median length4
Mean length3.4146
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7073
70.7%
자가 1752
 
17.5%
임대 1175
 
11.8%

Length

2024-04-18T10:35:11.741389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:35:11.825654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7073
70.7%
자가 1752
 
17.5%
임대 1175
 
11.8%

보증액
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.6%
Missing8701
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean124711.32
Minimum0
Maximum50000000
Zeros1289
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:11.897274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum50000000
Range50000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1938936.2
Coefficient of variation (CV)15.547396
Kurtosis432.27663
Mean124711.32
Median Absolute Deviation (MAD)0
Skewness19.756203
Sum1.62 × 108
Variance3.7594736 × 1012
MonotonicityNot monotonic
2024-04-18T10:35:11.989688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1289
 
12.9%
5000000 3
 
< 0.1%
30000000 2
 
< 0.1%
4000000 1
 
< 0.1%
50000000 1
 
< 0.1%
20000000 1
 
< 0.1%
10000000 1
 
< 0.1%
3000000 1
 
< 0.1%
(Missing) 8701
87.0%
ValueCountFrequency (%)
0 1289
12.9%
3000000 1
 
< 0.1%
4000000 1
 
< 0.1%
5000000 3
 
< 0.1%
10000000 1
 
< 0.1%
20000000 1
 
< 0.1%
30000000 2
 
< 0.1%
50000000 1
 
< 0.1%
ValueCountFrequency (%)
50000000 1
 
< 0.1%
30000000 2
 
< 0.1%
20000000 1
 
< 0.1%
10000000 1
 
< 0.1%
5000000 3
 
< 0.1%
4000000 1
 
< 0.1%
3000000 1
 
< 0.1%
0 1289
12.9%

월세액
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.7%
Missing8702
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean4129.4299
Minimum0
Maximum1300000
Zeros1289
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:12.071961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1300000
Range1300000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58432.798
Coefficient of variation (CV)14.150331
Kurtosis301.85264
Mean4129.4299
Median Absolute Deviation (MAD)0
Skewness16.626005
Sum5360000
Variance3.4143919 × 109
MonotonicityNot monotonic
2024-04-18T10:35:12.161362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 1289
 
12.9%
400000 2
 
< 0.1%
700000 1
 
< 0.1%
160000 1
 
< 0.1%
900000 1
 
< 0.1%
1300000 1
 
< 0.1%
950000 1
 
< 0.1%
450000 1
 
< 0.1%
100000 1
 
< 0.1%
(Missing) 8702
87.0%
ValueCountFrequency (%)
0 1289
12.9%
100000 1
 
< 0.1%
160000 1
 
< 0.1%
400000 2
 
< 0.1%
450000 1
 
< 0.1%
700000 1
 
< 0.1%
900000 1
 
< 0.1%
950000 1
 
< 0.1%
1300000 1
 
< 0.1%
ValueCountFrequency (%)
1300000 1
 
< 0.1%
950000 1
 
< 0.1%
900000 1
 
< 0.1%
700000 1
 
< 0.1%
450000 1
 
< 0.1%
400000 2
 
< 0.1%
160000 1
 
< 0.1%
100000 1
 
< 0.1%
0 1289
12.9%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9998 
True
 
2
ValueCountFrequency (%)
False 9998
> 99.9%
True 2
 
< 0.1%
2024-04-18T10:35:12.249789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct271
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.61847
Minimum0
Maximum132.2
Zeros9618
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T10:35:12.338295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum132.2
Range132.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.6560818
Coefficient of variation (CV)7.5283875
Kurtosis198.48959
Mean0.61847
Median Absolute Deviation (MAD)0
Skewness12.166608
Sum6184.7
Variance21.679098
MonotonicityNot monotonic
2024-04-18T10:35:12.451530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9618
96.2%
3.0 13
 
0.1%
3.3 12
 
0.1%
10.0 10
 
0.1%
4.0 6
 
0.1%
12.0 6
 
0.1%
2.0 6
 
0.1%
20.0 5
 
0.1%
16.0 5
 
0.1%
18.0 5
 
0.1%
Other values (261) 314
 
3.1%
ValueCountFrequency (%)
0.0 9618
96.2%
0.23 1
 
< 0.1%
0.42 1
 
< 0.1%
0.99 1
 
< 0.1%
1.0 5
 
0.1%
1.08 1
 
< 0.1%
1.1 1
 
< 0.1%
1.18 1
 
< 0.1%
1.26 1
 
< 0.1%
1.3 1
 
< 0.1%
ValueCountFrequency (%)
132.2 1
< 0.1%
108.0 1
< 0.1%
94.89 1
< 0.1%
85.8 1
< 0.1%
76.0 1
< 0.1%
75.8 1
< 0.1%
72.0 1
< 0.1%
71.02 1
< 0.1%
70.0 1
< 0.1%
65.0 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

홈페이지
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum2053-01-01 00:00:00
Maximum2053-01-01 00:00:00
2024-04-18T10:35:12.540978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T10:35:12.611682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
1101611017즉석판매제조가공업07_22_19_P34500003450000-107-2019-0033920190918<NA>3폐업2폐업20191017<NA><NA><NA><NA><NA>702841대구광역시 북구 산격동 1260-1대구광역시 북구 동북로 160 (산격동)41535맛본20191018041509U2019-10-20 02:40:00.0즉석판매제조가공업345299.176141267741.942492즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
2345023451즉석판매제조가공업07_22_19_P34700003470000-107-2019-0046520191218<NA>3폐업2폐업20191226<NA><NA><NA>062 5245248<NA>704722대구광역시 달서구 상인동 1502 롯데백화점상인점대구광역시 달서구 월배로 232, 롯데백화점 상인점 지하1층 (상인동)42809푸드트립20191227041509U2019-12-29 02:40:00.0즉석판매제조가공업339047.793379258741.90218즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
38983899즉석판매제조가공업07_22_19_P34200003420000-107-2020-0030220201015<NA>3폐업2폐업20201029<NA><NA><NA><NA><NA>701020대구광역시 동구 신천동 1506 신세계동대구복합환승센터대구광역시 동구 동부로 149, 신세계동대구복합환승센터 지하 1층 (신천동)41229별똥밭20201030041508U2020-11-01 02:40:00.0즉석판매제조가공업347037.24197265407.404337즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1689716898즉석판매제조가공업07_22_19_P34600003460000-107-2016-0013120160725<NA>3폐업2폐업20171229<NA><NA><NA>053 285 558232.25706140대구광역시 수성구 매호동 1343-7대구광역시 수성구 달구벌대로631길 5 (매호동)42268반찬세상20171229090626I2018-08-31 23:59:59.0즉석판매제조가공업353799.562975261601.203026즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0011<NA><NA><NA>N0.0<NA><NA><NA>
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24682469즉석판매제조가공업07_22_19_P34100003410000-107-2019-0021820191010<NA>3폐업2폐업20191029<NA><NA><NA><NA><NA>700070대구광역시 중구 덕산동 0053-0003 동아백화점쇼핑점 지하1층대구광역시 중구 달구벌대로 2085, 동아백화점쇼핑점 지하1층 (덕산동)41936(주)케이프라이드20191030041508U2019-11-01 02:40:00.0즉석판매제조가공업343705.561002264056.630949즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
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