Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells132256
Missing cells (%)28.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 MiB
Average record size in memory415.0 B

Variable types

Numeric15
Categorical16
Text5
Unsupported9
DateTime1
Boolean1

Dataset

Description22년11월_6270000_대구광역시_07_22_19_P_즉석판매제조가공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097155&dataSetDetailId=DDI_0000097182&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업태구분명 is highly imbalanced (99.5%)Imbalance
위생업태명 is highly imbalanced (99.5%)Imbalance
급수시설구분명 is highly imbalanced (67.9%)Imbalance
본사직원수 is highly imbalanced (54.7%)Imbalance
다중이용업소여부 is highly imbalanced (99.9%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 1830 (18.3%) 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 5658 (56.6%) missing valuesMissing
소재지면적 has 4223 (42.2%) missing valuesMissing
소재지우편번호 has 115 (1.1%) missing valuesMissing
도로명전체주소 has 2543 (25.4%) missing valuesMissing
도로명우편번호 has 2587 (25.9%) missing valuesMissing
좌표정보(X) has 222 (2.2%) missing valuesMissing
좌표정보(Y) has 222 (2.2%) missing valuesMissing
영업장주변구분명 has 10000 (100.0%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
공장판매직직원수 has 4168 (41.7%) missing valuesMissing
공장생산직직원수 has 4169 (41.7%) missing valuesMissing
보증액 has 8252 (82.5%) missing valuesMissing
월세액 has 8253 (82.5%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -35.67941763)Skewed
공장판매직직원수 is highly skewed (γ1 = 23.74722916)Skewed
보증액 is highly skewed (γ1 = 20.22758475)Skewed
월세액 is highly skewed (γ1 = 20.62816165)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
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
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 413 (4.1%) zerosZeros
공장판매직직원수 has 5452 (54.5%) zerosZeros
공장생산직직원수 has 5341 (53.4%) zerosZeros
보증액 has 1734 (17.3%) zerosZeros
월세액 has 1735 (17.3%) zerosZeros
시설총규모 has 9622 (96.2%) zerosZeros

Reproduction

Analysis started2024-04-17 15:10:08.368769
Analysis finished2024-04-17 15:10:10.129407
Duration1.76 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%
Mean13599.503
Minimum1
Maximum27174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:10.184361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1401.85
Q16843.75
median13533.5
Q320358.5
95-th percentile25817.1
Maximum27174
Range27173
Interquartile range (IQR)13514.75

Descriptive statistics

Standard deviation7831.5051
Coefficient of variation (CV)0.575867
Kurtosis-1.1991836
Mean13599.503
Median Absolute Deviation (MAD)6765.5
Skewness0.0051767615
Sum1.3599503 × 108
Variance61332471
MonotonicityNot monotonic
2024-04-18T00:10:10.286046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106 1
 
< 0.1%
5133 1
 
< 0.1%
14773 1
 
< 0.1%
14102 1
 
< 0.1%
18447 1
 
< 0.1%
4575 1
 
< 0.1%
27140 1
 
< 0.1%
3622 1
 
< 0.1%
24368 1
 
< 0.1%
510 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
11 1
< 0.1%
13 1
< 0.1%
16 1
< 0.1%
20 1
< 0.1%
21 1
< 0.1%
28 1
< 0.1%
ValueCountFrequency (%)
27174 1
< 0.1%
27166 1
< 0.1%
27164 1
< 0.1%
27162 1
< 0.1%
27159 1
< 0.1%
27157 1
< 0.1%
27148 1
< 0.1%
27146 1
< 0.1%
27144 1
< 0.1%
27143 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

2024-04-18T00:10:10.384733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:10.460163image/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

2024-04-18T00:10:10.538494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:10.607385image/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%
Mean3446593
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:10.669561image/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 deviation22472.491
Coefficient of variation (CV)0.0065202044
Kurtosis-1.263946
Mean3446593
Median Absolute Deviation (MAD)20000
Skewness-0.33480544
Sum3.446593 × 1010
Variance5.0501285 × 108
MonotonicityNot monotonic
2024-04-18T00:10:10.761676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2201
22.0%
3450000 1836
18.4%
3460000 1581
15.8%
3420000 1549
15.5%
3410000 1218
12.2%
3480000 573
 
5.7%
3430000 548
 
5.5%
3440000 494
 
4.9%
ValueCountFrequency (%)
3410000 1218
12.2%
3420000 1549
15.5%
3430000 548
 
5.5%
3440000 494
 
4.9%
3450000 1836
18.4%
3460000 1581
15.8%
3470000 2201
22.0%
3480000 573
 
5.7%
ValueCountFrequency (%)
3480000 573
 
5.7%
3470000 2201
22.0%
3460000 1581
15.8%
3450000 1836
18.4%
3440000 494
 
4.9%
3430000 548
 
5.5%
3420000 1549
15.5%
3410000 1218
12.2%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T00:10:10.919247image/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 row3410000-107-2020-00311
2nd row3450000-107-2019-00033
3rd row3480000-107-2021-00115
4th row3410000-107-1997-00005
5th row3420000-107-2021-00193
ValueCountFrequency (%)
3410000-107-2020-00311 1
 
< 0.1%
3420000-107-2022-00278 1
 
< 0.1%
3460000-107-2022-00141 1
 
< 0.1%
3410000-107-2019-00057 1
 
< 0.1%
3450000-107-2010-00182 1
 
< 0.1%
3450000-107-2007-00017 1
 
< 0.1%
3460000-107-2019-00215 1
 
< 0.1%
3420000-107-2008-00056 1
 
< 0.1%
3480000-107-2016-00108 1
 
< 0.1%
3420000-107-2017-00234 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T00:10:11.190982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91540
41.6%
- 30000
 
13.6%
1 22284
 
10.1%
2 17907
 
8.1%
7 15053
 
6.8%
3 13882
 
6.3%
4 13132
 
6.0%
6 4289
 
1.9%
5 4222
 
1.9%
9 4152
 
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 91540
48.2%
1 22284
 
11.7%
2 17907
 
9.4%
7 15053
 
7.9%
3 13882
 
7.3%
4 13132
 
6.9%
6 4289
 
2.3%
5 4222
 
2.2%
9 4152
 
2.2%
8 3539
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91540
41.6%
- 30000
 
13.6%
1 22284
 
10.1%
2 17907
 
8.1%
7 15053
 
6.8%
3 13882
 
6.3%
4 13132
 
6.0%
6 4289
 
1.9%
5 4222
 
1.9%
9 4152
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91540
41.6%
- 30000
 
13.6%
1 22284
 
10.1%
2 17907
 
8.1%
7 15053
 
6.8%
3 13882
 
6.3%
4 13132
 
6.0%
6 4289
 
1.9%
5 4222
 
1.9%
9 4152
 
1.9%

인허가일자
Real number (ℝ)

Distinct4506
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20126774
Minimum19720317
Maximum20221129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:11.307347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19720317
5-th percentile19980314
Q120070803
median20160615
Q320191107
95-th percentile20220401
Maximum20221129
Range500812
Interquartile range (IQR)120304

Descriptive statistics

Standard deviation83731.432
Coefficient of variation (CV)0.0041602014
Kurtosis1.2163739
Mean20126774
Median Absolute Deviation (MAD)49993
Skewness-1.1025436
Sum2.0126774 × 1011
Variance7.0109528 × 109
MonotonicityNot monotonic
2024-04-18T00:10:11.422488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000229 57
 
0.6%
20000228 48
 
0.5%
19960328 32
 
0.3%
19960320 16
 
0.2%
20211012 15
 
0.1%
20160602 14
 
0.1%
20180813 12
 
0.1%
20191014 12
 
0.1%
19890930 11
 
0.1%
20190311 10
 
0.1%
Other values (4496) 9773
97.7%
ValueCountFrequency (%)
19720317 1
< 0.1%
19720422 1
< 0.1%
19720501 2
< 0.1%
19720502 1
< 0.1%
19720518 1
< 0.1%
19720524 1
< 0.1%
19720531 1
< 0.1%
19720613 1
< 0.1%
19720620 1
< 0.1%
19720621 1
< 0.1%
ValueCountFrequency (%)
20221129 1
 
< 0.1%
20221128 1
 
< 0.1%
20221125 1
 
< 0.1%
20221124 2
< 0.1%
20221123 1
 
< 0.1%
20221122 3
< 0.1%
20221121 4
< 0.1%
20221118 1
 
< 0.1%
20221117 3
< 0.1%
20221116 1
 
< 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
8170 
1
1830 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 8170
81.7%
1 1830
 
18.3%

Length

2024-04-18T00:10:11.548314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:11.618325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8170
81.7%
1 1830
 
18.3%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8170 
영업/정상
1830 

Length

Max length5
Median length2
Mean length2.549
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 8170
81.7%
영업/정상 1830
 
18.3%

Length

2024-04-18T00:10:11.693630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:11.770951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8170
81.7%
영업/정상 1830
 
18.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8170 
1
1830 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 8170
81.7%
1 1830
 
18.3%

Length

2024-04-18T00:10:11.845581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:11.916388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8170
81.7%
1 1830
 
18.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8170 
영업
1830 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8170
81.7%
영업 1830
 
18.3%

Length

2024-04-18T00:10:11.993246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:12.064547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8170
81.7%
영업 1830
 
18.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct3863
Distinct (%)47.3%
Missing1830
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean20148720
Minimum20000617
Maximum20221130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:12.174569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000617
5-th percentile20040719
Q120100928
median20170426
Q320191225
95-th percentile20220401
Maximum20221130
Range220513
Interquartile range (IQR)90297.25

Descriptive statistics

Standard deviation57372.622
Coefficient of variation (CV)0.0028474575
Kurtosis-0.84927044
Mean20148720
Median Absolute Deviation (MAD)39814.5
Skewness-0.62345124
Sum1.6461504 × 1011
Variance3.2916178 × 109
MonotonicityNot monotonic
2024-04-18T00:10:12.281302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141014 16
 
0.2%
20201231 15
 
0.1%
20180531 13
 
0.1%
20200109 12
 
0.1%
20141015 12
 
0.1%
20200603 11
 
0.1%
20160602 11
 
0.1%
20180228 11
 
0.1%
20200611 10
 
0.1%
20191212 10
 
0.1%
Other values (3853) 8049
80.5%
(Missing) 1830
 
18.3%
ValueCountFrequency (%)
20000617 1
< 0.1%
20010131 1
< 0.1%
20010413 1
< 0.1%
20010502 1
< 0.1%
20010906 1
< 0.1%
20011010 1
< 0.1%
20011123 1
< 0.1%
20011204 1
< 0.1%
20011217 1
< 0.1%
20011219 1
< 0.1%
ValueCountFrequency (%)
20221130 1
 
< 0.1%
20221129 2
 
< 0.1%
20221128 1
 
< 0.1%
20221126 1
 
< 0.1%
20221125 1
 
< 0.1%
20221124 3
< 0.1%
20221123 7
0.1%
20221122 2
 
< 0.1%
20221120 2
 
< 0.1%
20221118 1
 
< 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 

Distinct3472
Distinct (%)80.0%
Missing5658
Missing (%)56.6%
Memory size156.2 KiB
2024-04-18T00:10:12.574067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.839936
Min length3

Characters and Unicode

Total characters47067
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

Unique3172 ?
Unique (%)73.1%

Sample

1st row053 4207041
2nd row942 5665
3rd row02 69593855
4th row053 7552219
5th row053 5866094
ValueCountFrequency (%)
053 2764
29.3%
031 250
 
2.6%
02 134
 
1.4%
055 111
 
1.2%
070 82
 
0.9%
051 66
 
0.7%
062 51
 
0.5%
1234 36
 
0.4%
054 29
 
0.3%
325 28
 
0.3%
Other values (3609) 5893
62.4%
2024-04-18T00:10:12.970625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7277
15.5%
0 7014
14.9%
3 6327
13.4%
5247
11.1%
2 4128
8.8%
6 3338
7.1%
7 3102
6.6%
1 3100
6.6%
4 2666
 
5.7%
8 2602
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41820
88.9%
Space Separator 5247
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7277
17.4%
0 7014
16.8%
3 6327
15.1%
2 4128
9.9%
6 3338
8.0%
7 3102
7.4%
1 3100
7.4%
4 2666
 
6.4%
8 2602
 
6.2%
9 2266
 
5.4%
Space Separator
ValueCountFrequency (%)
5247
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47067
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7277
15.5%
0 7014
14.9%
3 6327
13.4%
5247
11.1%
2 4128
8.8%
6 3338
7.1%
7 3102
6.6%
1 3100
6.6%
4 2666
 
5.7%
8 2602
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47067
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7277
15.5%
0 7014
14.9%
3 6327
13.4%
5247
11.1%
2 4128
8.8%
6 3338
7.1%
7 3102
6.6%
1 3100
6.6%
4 2666
 
5.7%
8 2602
 
5.5%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct1956
Distinct (%)33.9%
Missing4223
Missing (%)42.2%
Infinite0
Infinite (%)0.0%
Mean22.118956
Minimum0
Maximum909
Zeros413
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:13.092900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median15.96
Q330.3
95-th percentile60.37
Maximum909
Range909
Interquartile range (IQR)24.3

Descriptive statistics

Standard deviation27.973328
Coefficient of variation (CV)1.2646767
Kurtosis203.23725
Mean22.118956
Median Absolute Deviation (MAD)11.46
Skewness9.0055616
Sum127781.21
Variance782.50709
MonotonicityNot monotonic
2024-04-18T00:10:13.190558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 413
 
4.1%
3.3 181
 
1.8%
6.0 155
 
1.6%
4.0 118
 
1.2%
6.6 116
 
1.2%
10.0 89
 
0.9%
3.0 80
 
0.8%
5.0 69
 
0.7%
12.0 66
 
0.7%
20.0 60
 
0.6%
Other values (1946) 4430
44.3%
(Missing) 4223
42.2%
ValueCountFrequency (%)
0.0 413
4.1%
0.5 1
 
< 0.1%
0.56 1
 
< 0.1%
0.7 1
 
< 0.1%
0.84 1
 
< 0.1%
0.85 1
 
< 0.1%
0.87 1
 
< 0.1%
0.88 1
 
< 0.1%
0.92 1
 
< 0.1%
0.96 1
 
< 0.1%
ValueCountFrequency (%)
909.0 1
< 0.1%
433.0 1
< 0.1%
341.4 1
< 0.1%
337.0 1
< 0.1%
305.0 1
< 0.1%
303.0 1
< 0.1%
301.2 1
< 0.1%
299.52 1
< 0.1%
292.0 1
< 0.1%
268.66 1
< 0.1%

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct614
Distinct (%)6.2%
Missing115
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean703982.6
Minimum431815
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:13.291486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum431815
5-th percentile700092
Q1701860
median703824
Q3705805
95-th percentile706852
Maximum711893
Range280078
Interquartile range (IQR)3945

Descriptive statistics

Standard deviation3841.023
Coefficient of variation (CV)0.0054561333
Kurtosis2550.0549
Mean703982.6
Median Absolute Deviation (MAD)1971
Skewness-35.679418
Sum6.958868 × 109
Variance14753457
MonotonicityNot monotonic
2024-04-18T00:10:13.396041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701020 426
 
4.3%
704923 352
 
3.5%
700082 298
 
3.0%
706803 286
 
2.9%
704722 280
 
2.8%
700718 275
 
2.8%
702886 262
 
2.6%
704800 227
 
2.3%
702746 224
 
2.2%
704808 182
 
1.8%
Other values (604) 7073
70.7%
ValueCountFrequency (%)
431815 1
 
< 0.1%
700010 3
 
< 0.1%
700020 1
 
< 0.1%
700040 2
 
< 0.1%
700060 2
 
< 0.1%
700070 154
1.5%
700081 2
 
< 0.1%
700082 298
3.0%
700092 83
 
0.8%
700093 5
 
0.1%
ValueCountFrequency (%)
711893 1
 
< 0.1%
711892 1
 
< 0.1%
711891 12
 
0.1%
711874 55
0.5%
711873 7
 
0.1%
711872 1
 
< 0.1%
711871 1
 
< 0.1%
711864 13
 
0.1%
711863 6
 
0.1%
711862 3
 
< 0.1%

소재지전체주소
Text

Distinct5304
Distinct (%)53.1%
Missing14
Missing (%)0.1%
Memory size156.2 KiB
2024-04-18T00:10:13.635853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length47
Mean length25.497396
Min length16

Characters and Unicode

Total characters254617
Distinct characters411
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

Unique4695 ?
Unique (%)47.0%

Sample

1st row대구광역시 중구 계산동2가 0200 현대백화점 지하1층
2nd row대구광역시 북구 태전동 940-2
3rd row대구광역시 달성군 다사읍 매곡리 892-7 1층
4th row대구광역시 중구 대봉동 0214 대백프라자식품관
5th row대구광역시 동구 각산동 445
ValueCountFrequency (%)
대구광역시 9985
 
20.2%
달서구 2201
 
4.4%
북구 1821
 
3.7%
수성구 1581
 
3.2%
동구 1549
 
3.1%
중구 1219
 
2.5%
1층 646
 
1.3%
상인동 597
 
1.2%
달성군 572
 
1.2%
칠성동2가 554
 
1.1%
Other values (5492) 28765
58.1%
2024-04-18T00:10:13.996726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49148
19.3%
구 20500
 
8.1%
대 12840
 
5.0%
동 12702
 
5.0%
1 12258
 
4.8%
시 10290
 
4.0%
역 10143
 
4.0%
광 9993
 
3.9%
0 7698
 
3.0%
2 6864
 
2.7%
Other values (401) 102181
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146014
57.3%
Decimal Number 51002
 
20.0%
Space Separator 49148
 
19.3%
Dash Punctuation 6453
 
2.5%
Open Punctuation 556
 
0.2%
Close Punctuation 554
 
0.2%
Uppercase Letter 381
 
0.1%
Lowercase Letter 257
 
0.1%
Other Punctuation 242
 
0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 20500
 
14.0%
대 12840
 
8.8%
동 12702
 
8.7%
시 10290
 
7.0%
역 10143
 
6.9%
광 9993
 
6.8%
성 3866
 
2.6%
서 3261
 
2.2%
달 2868
 
2.0%
점 2280
 
1.6%
Other values (356) 57271
39.2%
Uppercase Letter
ValueCountFrequency (%)
A 87
22.8%
B 85
22.3%
S 65
17.1%
K 49
12.9%
H 39
10.2%
G 11
 
2.9%
P 8
 
2.1%
T 8
 
2.1%
M 8
 
2.1%
C 5
 
1.3%
Other values (7) 16
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 12258
24.0%
0 7698
15.1%
2 6864
13.5%
5 5817
11.4%
3 4620
 
9.1%
6 3566
 
7.0%
4 3233
 
6.3%
8 2356
 
4.6%
7 2300
 
4.5%
9 2290
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 39
15.2%
o 37
14.4%
p 36
14.0%
m 36
14.0%
s 36
14.0%
u 36
14.0%
l 36
14.0%
k 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 213
88.0%
. 25
 
10.3%
/ 3
 
1.2%
@ 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 9
90.0%
+ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
49148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6453
100.0%
Open Punctuation
ValueCountFrequency (%)
( 556
100.0%
Close Punctuation
ValueCountFrequency (%)
) 554
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146014
57.3%
Common 107965
42.4%
Latin 638
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 20500
 
14.0%
대 12840
 
8.8%
동 12702
 
8.7%
시 10290
 
7.0%
역 10143
 
6.9%
광 9993
 
6.8%
성 3866
 
2.6%
서 3261
 
2.2%
달 2868
 
2.0%
점 2280
 
1.6%
Other values (356) 57271
39.2%
Latin
ValueCountFrequency (%)
A 87
13.6%
B 85
13.3%
S 65
10.2%
K 49
 
7.7%
H 39
 
6.1%
e 39
 
6.1%
o 37
 
5.8%
p 36
 
5.6%
m 36
 
5.6%
s 36
 
5.6%
Other values (15) 129
20.2%
Common
ValueCountFrequency (%)
49148
45.5%
1 12258
 
11.4%
0 7698
 
7.1%
2 6864
 
6.4%
- 6453
 
6.0%
5 5817
 
5.4%
3 4620
 
4.3%
6 3566
 
3.3%
4 3233
 
3.0%
8 2356
 
2.2%
Other values (10) 5952
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146014
57.3%
ASCII 108603
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49148
45.3%
1 12258
 
11.3%
0 7698
 
7.1%
2 6864
 
6.3%
- 6453
 
5.9%
5 5817
 
5.4%
3 4620
 
4.3%
6 3566
 
3.3%
4 3233
 
3.0%
8 2356
 
2.2%
Other values (35) 6590
 
6.1%
Hangul
ValueCountFrequency (%)
구 20500
 
14.0%
대 12840
 
8.8%
동 12702
 
8.7%
시 10290
 
7.0%
역 10143
 
6.9%
광 9993
 
6.8%
성 3866
 
2.6%
서 3261
 
2.2%
달 2868
 
2.0%
점 2280
 
1.6%
Other values (356) 57271
39.2%

도로명전체주소
Text

MISSING 

Distinct4195
Distinct (%)56.3%
Missing2543
Missing (%)25.4%
Memory size156.2 KiB
2024-04-18T00:10:14.259376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length49
Mean length32.426847
Min length19

Characters and Unicode

Total characters241807
Distinct characters440
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

Unique3737 ?
Unique (%)50.1%

Sample

1st row대구광역시 중구 달구벌대로 2077, 현대백화점 지하1층 (계산동2가)
2nd row대구광역시 북구 칠곡중앙대로 407-1, 5층 (태전동)
3rd row대구광역시 달성군 다사읍 매곡로2길 8-1, 1층
4th row대구광역시 중구 명덕로 333 (대봉동, 대백프라자식품관)
5th row대구광역시 동구 경안로 824-1, 1층 (각산동)
ValueCountFrequency (%)
대구광역시 7456
 
15.6%
1층 2244
 
4.7%
달서구 1591
 
3.3%
동구 1302
 
2.7%
북구 1262
 
2.6%
수성구 1201
 
2.5%
지하1층 1191
 
2.5%
중구 916
 
1.9%
달구벌대로 735
 
1.5%
신천동 484
 
1.0%
Other values (3793) 29530
61.6%
2024-04-18T00:10:14.668549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40480
 
16.7%
구 16521
 
6.8%
대 11427
 
4.7%
동 11377
 
4.7%
1 9814
 
4.1%
시 7776
 
3.2%
역 7652
 
3.2%
광 7464
 
3.1%
로 7430
 
3.1%
) 7233
 
3.0%
Other values (430) 114633
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146462
60.6%
Space Separator 40480
 
16.7%
Decimal Number 32062
 
13.3%
Close Punctuation 7233
 
3.0%
Open Punctuation 7233
 
3.0%
Other Punctuation 6784
 
2.8%
Dash Punctuation 924
 
0.4%
Uppercase Letter 374
 
0.2%
Lowercase Letter 244
 
0.1%
Math Symbol 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 16521
 
11.3%
대 11427
 
7.8%
동 11377
 
7.8%
시 7776
 
5.3%
역 7652
 
5.2%
광 7464
 
5.1%
로 7430
 
5.1%
층 4274
 
2.9%
성 3493
 
2.4%
달 3126
 
2.1%
Other values (379) 65922
45.0%
Uppercase Letter
ValueCountFrequency (%)
B 77
20.6%
A 71
19.0%
S 63
16.8%
K 56
15.0%
H 37
9.9%
C 10
 
2.7%
E 8
 
2.1%
P 8
 
2.1%
R 7
 
1.9%
T 6
 
1.6%
Other values (10) 31
8.3%
Decimal Number
ValueCountFrequency (%)
1 9814
30.6%
2 4896
15.3%
3 3557
 
11.1%
4 2483
 
7.7%
0 2322
 
7.2%
6 2023
 
6.3%
9 2003
 
6.2%
7 1895
 
5.9%
5 1543
 
4.8%
8 1526
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
s 36
14.8%
e 35
14.3%
o 34
13.9%
m 34
13.9%
p 34
13.9%
l 34
13.9%
u 34
13.9%
g 1
 
0.4%
c 1
 
0.4%
b 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 6777
99.9%
. 3
 
< 0.1%
/ 2
 
< 0.1%
· 1
 
< 0.1%
@ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 10
90.9%
+ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
40480
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7233
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7233
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 924
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146462
60.6%
Common 94727
39.2%
Latin 618
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 16521
 
11.3%
대 11427
 
7.8%
동 11377
 
7.8%
시 7776
 
5.3%
역 7652
 
5.2%
광 7464
 
5.1%
로 7430
 
5.1%
층 4274
 
2.9%
성 3493
 
2.4%
달 3126
 
2.1%
Other values (379) 65922
45.0%
Latin
ValueCountFrequency (%)
B 77
12.5%
A 71
11.5%
S 63
10.2%
K 56
 
9.1%
H 37
 
6.0%
s 36
 
5.8%
e 35
 
5.7%
o 34
 
5.5%
m 34
 
5.5%
p 34
 
5.5%
Other values (20) 141
22.8%
Common
ValueCountFrequency (%)
40480
42.7%
1 9814
 
10.4%
) 7233
 
7.6%
( 7233
 
7.6%
, 6777
 
7.2%
2 4896
 
5.2%
3 3557
 
3.8%
4 2483
 
2.6%
0 2322
 
2.5%
6 2023
 
2.1%
Other values (11) 7909
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146462
60.6%
ASCII 95344
39.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40480
42.5%
1 9814
 
10.3%
) 7233
 
7.6%
( 7233
 
7.6%
, 6777
 
7.1%
2 4896
 
5.1%
3 3557
 
3.7%
4 2483
 
2.6%
0 2322
 
2.4%
6 2023
 
2.1%
Other values (40) 8526
 
8.9%
Hangul
ValueCountFrequency (%)
구 16521
 
11.3%
대 11427
 
7.8%
동 11377
 
7.8%
시 7776
 
5.3%
역 7652
 
5.2%
광 7464
 
5.1%
로 7430
 
5.1%
층 4274
 
2.9%
성 3493
 
2.4%
달 3126
 
2.1%
Other values (379) 65922
45.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1037
Distinct (%)14.0%
Missing2587
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean42007.53
Minimum14066
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:14.776139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14066
5-th percentile41097
Q141515
median41953
Q342620
95-th percentile42924.4
Maximum43024
Range28958
Interquartile range (IQR)1105

Descriptive statistics

Standard deviation676.74724
Coefficient of variation (CV)0.016110141
Kurtosis390.43494
Mean42007.53
Median Absolute Deviation (MAD)530
Skewness-9.4713515
Sum3.1140182 × 108
Variance457986.83
MonotonicityNot monotonic
2024-04-18T00:10:14.875800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41229 440
 
4.4%
41936 406
 
4.1%
42637 251
 
2.5%
41953 247
 
2.5%
42037 246
 
2.5%
42809 231
 
2.3%
42778 194
 
1.9%
41581 188
 
1.9%
41084 149
 
1.5%
41422 146
 
1.5%
Other values (1027) 4915
49.1%
(Missing) 2587
25.9%
ValueCountFrequency (%)
14066 1
 
< 0.1%
41000 2
 
< 0.1%
41001 3
 
< 0.1%
41002 9
0.1%
41003 1
 
< 0.1%
41005 11
0.1%
41007 1
 
< 0.1%
41008 4
 
< 0.1%
41009 3
 
< 0.1%
41013 1
 
< 0.1%
ValueCountFrequency (%)
43024 4
 
< 0.1%
43018 20
0.2%
43017 5
 
0.1%
43015 2
 
< 0.1%
43014 9
0.1%
43013 1
 
< 0.1%
43010 5
 
0.1%
43009 4
 
< 0.1%
43008 2
 
< 0.1%
43007 1
 
< 0.1%

사업장명
Text

Distinct5620
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T00:10:15.110700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length6.1028
Min length1

Characters and Unicode

Total characters61028
Distinct characters866
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4638 ?
Unique (%)46.4%

Sample

1st row(주)지오에프앤씨
2nd row코코상점
3rd row엔조이런치
4th row고기를담다
5th row행복한반찬가게
ValueCountFrequency (%)
주식회사 281
 
2.6%
은호유통 102
 
0.9%
주)부촌푸드 92
 
0.8%
주)정성 74
 
0.7%
주)미트벨리 70
 
0.6%
주)인네이처 66
 
0.6%
수라원 64
 
0.6%
한아름농특산 63
 
0.6%
제이수산 63
 
0.6%
농촌사랑(주 55
 
0.5%
Other values (5849) 10038
91.5%
2024-04-18T00:10:15.466495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2406
 
3.9%
) 2105
 
3.4%
( 2046
 
3.4%
식 1353
 
2.2%
산 1278
 
2.1%
드 979
 
1.6%
969
 
1.6%
이 928
 
1.5%
원 854
 
1.4%
사 820
 
1.3%
Other values (856) 47290
77.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54396
89.1%
Close Punctuation 2105
 
3.4%
Open Punctuation 2046
 
3.4%
Space Separator 969
 
1.6%
Lowercase Letter 668
 
1.1%
Uppercase Letter 538
 
0.9%
Decimal Number 180
 
0.3%
Other Punctuation 107
 
0.2%
Dash Punctuation 17
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2406
 
4.4%
식 1353
 
2.5%
산 1278
 
2.3%
드 979
 
1.8%
이 928
 
1.7%
원 854
 
1.6%
사 820
 
1.5%
푸 793
 
1.5%
품 761
 
1.4%
스 761
 
1.4%
Other values (781) 43463
79.9%
Lowercase Letter
ValueCountFrequency (%)
e 89
13.3%
o 84
12.6%
a 61
 
9.1%
n 52
 
7.8%
r 37
 
5.5%
s 35
 
5.2%
i 33
 
4.9%
t 30
 
4.5%
l 28
 
4.2%
m 28
 
4.2%
Other values (15) 191
28.6%
Uppercase Letter
ValueCountFrequency (%)
E 48
 
8.9%
S 48
 
8.9%
O 47
 
8.7%
C 38
 
7.1%
F 37
 
6.9%
A 31
 
5.8%
I 29
 
5.4%
N 29
 
5.4%
K 26
 
4.8%
T 26
 
4.8%
Other values (14) 179
33.3%
Other Punctuation
ValueCountFrequency (%)
& 38
35.5%
. 29
27.1%
, 15
 
14.0%
' 13
 
12.1%
! 3
 
2.8%
/ 3
 
2.8%
: 2
 
1.9%
; 2
 
1.9%
# 1
 
0.9%
% 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 37
20.6%
0 30
16.7%
2 28
15.6%
9 23
12.8%
5 15
8.3%
6 11
 
6.1%
8 11
 
6.1%
3 11
 
6.1%
4 7
 
3.9%
7 7
 
3.9%
Close Punctuation
ValueCountFrequency (%)
) 2105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2046
100.0%
Space Separator
ValueCountFrequency (%)
969
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54379
89.1%
Common 5425
 
8.9%
Latin 1207
 
2.0%
Han 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2406
 
4.4%
식 1353
 
2.5%
산 1278
 
2.4%
드 979
 
1.8%
이 928
 
1.7%
원 854
 
1.6%
사 820
 
1.5%
푸 793
 
1.5%
품 761
 
1.4%
스 761
 
1.4%
Other values (772) 43446
79.9%
Latin
ValueCountFrequency (%)
e 89
 
7.4%
o 84
 
7.0%
a 61
 
5.1%
n 52
 
4.3%
E 48
 
4.0%
S 48
 
4.0%
O 47
 
3.9%
C 38
 
3.1%
r 37
 
3.1%
F 37
 
3.1%
Other values (40) 666
55.2%
Common
ValueCountFrequency (%)
) 2105
38.8%
( 2046
37.7%
969
17.9%
& 38
 
0.7%
1 37
 
0.7%
0 30
 
0.6%
. 29
 
0.5%
2 28
 
0.5%
9 23
 
0.4%
- 17
 
0.3%
Other values (15) 103
 
1.9%
Han
ValueCountFrequency (%)
內 9
52.9%
蓮 1
 
5.9%
微 1
 
5.9%
美 1
 
5.9%
女 1
 
5.9%
人 1
 
5.9%
米 1
 
5.9%
眞 1
 
5.9%
水 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54379
89.1%
ASCII 6631
 
10.9%
CJK 16
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2406
 
4.4%
식 1353
 
2.5%
산 1278
 
2.4%
드 979
 
1.8%
이 928
 
1.7%
원 854
 
1.6%
사 820
 
1.5%
푸 793
 
1.5%
품 761
 
1.4%
스 761
 
1.4%
Other values (772) 43446
79.9%
ASCII
ValueCountFrequency (%)
) 2105
31.7%
( 2046
30.9%
969
14.6%
e 89
 
1.3%
o 84
 
1.3%
a 61
 
0.9%
n 52
 
0.8%
E 48
 
0.7%
S 48
 
0.7%
O 47
 
0.7%
Other values (64) 1082
16.3%
CJK
ValueCountFrequency (%)
內 9
56.2%
蓮 1
 
6.2%
微 1
 
6.2%
美 1
 
6.2%
人 1
 
6.2%
米 1
 
6.2%
眞 1
 
6.2%
水 1
 
6.2%
CJK Compat Ideographs
ValueCountFrequency (%)
女 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct7841
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0148922 × 1013
Minimum2.0010821 × 1013
Maximum2.022113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:15.575183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010821 × 1013
5-th percentile2.0021028 × 1013
Q12.010033 × 1013
median2.0171213 × 1013
Q32.0200813 × 1013
95-th percentile2.0220701 × 1013
Maximum2.022113 × 1013
Range2.1030914 × 1011
Interquartile range (IQR)1.0048287 × 1011

Descriptive statistics

Standard deviation6.3935562 × 1010
Coefficient of variation (CV)0.0031731505
Kurtosis-0.83497746
Mean2.0148922 × 1013
Median Absolute Deviation (MAD)3.9710072 × 1010
Skewness-0.71253011
Sum2.0148922 × 1017
Variance4.0877561 × 1021
MonotonicityNot monotonic
2024-04-18T00:10:15.673597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041011000000 42
 
0.4%
20021021000000 35
 
0.4%
20021028000000 31
 
0.3%
20011119000000 20
 
0.2%
20010822000000 19
 
0.2%
20020725000000 19
 
0.2%
20031218000000 19
 
0.2%
20011123000000 18
 
0.2%
20030605000000 16
 
0.2%
20020530000000 14
 
0.1%
Other values (7831) 9767
97.7%
ValueCountFrequency (%)
20010821000000 3
 
< 0.1%
20010822000000 19
0.2%
20011015000000 1
 
< 0.1%
20011109000000 1
 
< 0.1%
20011110000000 1
 
< 0.1%
20011116000000 7
 
0.1%
20011119000000 20
0.2%
20011120000000 7
 
0.1%
20011121000000 14
0.1%
20011122000000 5
 
0.1%
ValueCountFrequency (%)
20221130142136 1
< 0.1%
20221130135303 1
< 0.1%
20221130131841 1
< 0.1%
20221130130819 1
< 0.1%
20221129173634 1
< 0.1%
20221129135656 1
< 0.1%
20221129113229 1
< 0.1%
20221129100145 1
< 0.1%
20221128153152 1
< 0.1%
20221128133748 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
6097 
U
3903 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6097
61.0%
U 3903
39.0%

Length

2024-04-18T00:10:16.002413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:16.068592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6097
61.0%
u 3903
39.0%

데이터갱신일자
Date

Distinct1441
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-02 02:40:00
2024-04-18T00:10:16.152359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T00:10:16.287163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9992 
기타
 
6
<NA>
 
1
식육(숯불구이)
 
1

Length

Max length9
Median length9
Mean length8.9952
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9992
99.9%
기타 6
 
0.1%
<NA> 1
 
< 0.1%
식육(숯불구이) 1
 
< 0.1%

Length

2024-04-18T00:10:16.413760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:16.494949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9992
99.9%
기타 6
 
0.1%
na 1
 
< 0.1%
식육(숯불구이 1
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3808
Distinct (%)38.9%
Missing222
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean343206.11
Minimum196587.72
Maximum358046.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:16.603716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196587.72
5-th percentile335062.27
Q1339276.49
median343588.74
Q3346920.79
95-th percentile353703.57
Maximum358046.4
Range161458.69
Interquartile range (IQR)7644.3

Descriptive statistics

Standard deviation5514.6503
Coefficient of variation (CV)0.016068042
Kurtosis50.862104
Mean343206.11
Median Absolute Deviation (MAD)3691.5955
Skewness-1.7735208
Sum3.3558693 × 109
Variance30411368
MonotonicityNot monotonic
2024-04-18T00:10:16.747652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347037.241970286 430
 
4.3%
345032.238220744 360
 
3.6%
339047.793378934 359
 
3.6%
343588.735554802 280
 
2.8%
347757.985568431 271
 
2.7%
337916.079938251 266
 
2.7%
340320.722709596 226
 
2.3%
337647.188646821 213
 
2.1%
344052.576927614 181
 
1.8%
355939.362329351 175
 
1.8%
Other values (3798) 7017
70.2%
(Missing) 222
 
2.2%
ValueCountFrequency (%)
196587.715042503 1
< 0.1%
326739.522357072 1
< 0.1%
326755.194077405 1
< 0.1%
327254.22982369 1
< 0.1%
327316.047591413 1
< 0.1%
327597.808245191 1
< 0.1%
327606.504993731 1
< 0.1%
327727.030629807 1
< 0.1%
327980.32539857 1
< 0.1%
327994.771470839 1
< 0.1%
ValueCountFrequency (%)
358046.403776034 1
 
< 0.1%
358012.428888704 1
 
< 0.1%
357990.643845118 1
 
< 0.1%
357987.298885612 1
 
< 0.1%
357888.724162031 1
 
< 0.1%
357881.329153021 1
 
< 0.1%
357870.136201308 1
 
< 0.1%
356429.740532646 1
 
< 0.1%
356425.755844676 1
 
< 0.1%
356388.525061719 4
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3808
Distinct (%)38.9%
Missing222
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean263336.57
Minimum236957.35
Maximum432322.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:16.888745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236957.35
5-th percentile257745.33
Q1261275.08
median263530.81
Q3265407.4
95-th percentile271580.67
Maximum432322.23
Range195364.88
Interquartile range (IQR)4132.3213

Descriptive statistics

Standard deviation4798.8992
Coefficient of variation (CV)0.018223444
Kurtosis160.14696
Mean263336.57
Median Absolute Deviation (MAD)1876.5944
Skewness3.6815638
Sum2.574905 × 109
Variance23029433
MonotonicityNot monotonic
2024-04-18T00:10:16.994364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265407.404336831 430
 
4.3%
262949.871621315 360
 
3.6%
258741.902180368 359
 
3.6%
264119.010750105 280
 
2.8%
264692.744180043 271
 
2.7%
262111.061697986 266
 
2.7%
272735.675659876 226
 
2.3%
258512.316695219 213
 
2.1%
265131.653371228 181
 
1.8%
264777.243597576 175
 
1.8%
Other values (3798) 7017
70.2%
(Missing) 222
 
2.2%
ValueCountFrequency (%)
236957.354291889 1
< 0.1%
239523.935659457 1
< 0.1%
239740.620045766 1
< 0.1%
240281.048475686 1
< 0.1%
240416.380666423 1
< 0.1%
240452.595560483 1
< 0.1%
240649.764741954 1
< 0.1%
240737.702806251 1
< 0.1%
240764.047846026 1
< 0.1%
240781.324770082 1
< 0.1%
ValueCountFrequency (%)
432322.231939368 1
< 0.1%
278073.623285671 1
< 0.1%
277348.717165567 1
< 0.1%
277335.082613284 1
< 0.1%
277117.708906569 1
< 0.1%
277076.243491265 1
< 0.1%
276972.474723707 1
< 0.1%
276913.572224484 1
< 0.1%
275986.728030096 1
< 0.1%
275985.497367753 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9992 
기타
 
6
<NA>
 
1
식육(숯불구이)
 
1

Length

Max length9
Median length9
Mean length8.9952
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9992
99.9%
기타 6
 
0.1%
<NA> 1
 
< 0.1%
식육(숯불구이) 1
 
< 0.1%

Length

2024-04-18T00:10:17.105071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:17.192170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9992
99.9%
기타 6
 
0.1%
na 1
 
< 0.1%
식육(숯불구이 1
 
< 0.1%

남성종사자수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8542 
0
1458 

Length

Max length4
Median length4
Mean length3.5626
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8542
85.4%
0 1458
 
14.6%

Length

2024-04-18T00:10:17.276270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:17.348187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8542
85.4%
0 1458
 
14.6%

여성종사자수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8542 
0
1458 

Length

Max length4
Median length4
Mean length3.5626
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8542
85.4%
0 1458
 
14.6%

Length

2024-04-18T00:10:17.433538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:17.525496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8542
85.4%
0 1458
 
14.6%

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 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7439 
상수도전용
2553 
간이상수도
 
3
지하수전용
 
3
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length19
Median length4
Mean length4.2587
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7439
74.4%
상수도전용 2553
 
25.5%
간이상수도 3
 
< 0.1%
지하수전용 3
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 1
 
< 0.1%

Length

2024-04-18T00:10:17.611248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:17.694990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7439
74.4%
상수도전용 2553
 
25.5%
간이상수도 3
 
< 0.1%
지하수전용 3
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%
전용상수도(특정시설의 1
 
< 0.1%
자가용 1
 
< 0.1%
수도 1
 
< 0.1%

총직원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8555 
0
1445 

Length

Max length4
Median length4
Mean length3.5665
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8555
85.5%
0 1445
 
14.4%

Length

2024-04-18T00:10:17.791529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:17.868430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8555
85.5%
0 1445
 
14.4%

본사직원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5740 
<NA>
4169 
1
 
82
2
 
8
3
 
1

Length

Max length4
Median length1
Mean length2.2507
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 5740
57.4%
<NA> 4169
41.7%
1 82
 
0.8%
2 8
 
0.1%
3 1
 
< 0.1%

Length

2024-04-18T00:10:17.950090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:18.033998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5740
57.4%
na 4169
41.7%
1 82
 
0.8%
2 8
 
0.1%
3 1
 
< 0.1%

공장사무직직원수
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5802 
<NA>
4170 
1
 
27
2
 
1

Length

Max length4
Median length1
Mean length2.251
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 5802
58.0%
<NA> 4170
41.7%
1 27
 
0.3%
2 1
 
< 0.1%

Length

2024-04-18T00:10:18.121880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:18.201561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5802
58.0%
na 4170
41.7%
1 27
 
0.3%
2 1
 
< 0.1%

공장판매직직원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.1%
Missing4168
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean0.077331962
Minimum0
Maximum20
Zeros5452
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:18.271564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.39723864
Coefficient of variation (CV)5.1367977
Kurtosis1095.0441
Mean0.077331962
Median Absolute Deviation (MAD)0
Skewness23.747229
Sum451
Variance0.15779854
MonotonicityNot monotonic
2024-04-18T00:10:18.355580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 5452
54.5%
1 333
 
3.3%
2 43
 
0.4%
4 1
 
< 0.1%
3 1
 
< 0.1%
20 1
 
< 0.1%
5 1
 
< 0.1%
(Missing) 4168
41.7%
ValueCountFrequency (%)
0 5452
54.5%
1 333
 
3.3%
2 43
 
0.4%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%
2 43
 
0.4%
1 333
 
3.3%
0 5452
54.5%

공장생산직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.1%
Missing4169
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean0.10752873
Minimum0
Maximum6
Zeros5341
Zeros (%)53.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:18.439105image/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 deviation0.39498996
Coefficient of variation (CV)3.6733436
Kurtosis30.36223
Mean0.10752873
Median Absolute Deviation (MAD)0
Skewness4.7343041
Sum627
Variance0.15601706
MonotonicityNot monotonic
2024-04-18T00:10:18.519122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5341
53.4%
1 379
 
3.8%
2 94
 
0.9%
3 10
 
0.1%
4 6
 
0.1%
6 1
 
< 0.1%
(Missing) 4169
41.7%
ValueCountFrequency (%)
0 5341
53.4%
1 379
 
3.8%
2 94
 
0.9%
3 10
 
0.1%
4 6
 
0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
4 6
 
0.1%
3 10
 
0.1%
2 94
 
0.9%
1 379
 
3.8%
0 5341
53.4%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7060 
자가
1860 
임대
1080 

Length

Max length4
Median length4
Mean length3.412
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7060
70.6%
자가 1860
 
18.6%
임대 1080
 
10.8%

Length

2024-04-18T00:10:18.628354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:10:18.723178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7060
70.6%
자가 1860
 
18.6%
임대 1080
 
10.8%

보증액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct10
Distinct (%)0.6%
Missing8252
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean112700.8
Minimum0
Maximum50000000
Zeros1734
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:18.797951image/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 deviation1859519.3
Coefficient of variation (CV)16.499611
Kurtosis447.16
Mean112700.8
Median Absolute Deviation (MAD)0
Skewness20.227585
Sum1.97001 × 108
Variance3.4578122 × 1012
MonotonicityNot monotonic
2024-04-18T00:10:18.883738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 1734
 
17.3%
5000000 2
 
< 0.1%
3000000 2
 
< 0.1%
15000000 2
 
< 0.1%
30000000 2
 
< 0.1%
500 2
 
< 0.1%
4000000 1
 
< 0.1%
2000000 1
 
< 0.1%
35000000 1
 
< 0.1%
50000000 1
 
< 0.1%
(Missing) 8252
82.5%
ValueCountFrequency (%)
0 1734
17.3%
500 2
 
< 0.1%
2000000 1
 
< 0.1%
3000000 2
 
< 0.1%
4000000 1
 
< 0.1%
5000000 2
 
< 0.1%
15000000 2
 
< 0.1%
30000000 2
 
< 0.1%
35000000 1
 
< 0.1%
50000000 1
 
< 0.1%
ValueCountFrequency (%)
50000000 1
 
< 0.1%
35000000 1
 
< 0.1%
30000000 2
 
< 0.1%
15000000 2
 
< 0.1%
5000000 2
 
< 0.1%
4000000 1
 
< 0.1%
3000000 2
 
< 0.1%
2000000 1
 
< 0.1%
500 2
 
< 0.1%
0 1734
17.3%

월세액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8
Distinct (%)0.5%
Missing8253
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean2661.7373
Minimum0
Maximum1200000
Zeros1735
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:18.967561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1200000
Range1200000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42677.584
Coefficient of variation (CV)16.033733
Kurtosis489.5165
Mean2661.7373
Median Absolute Deviation (MAD)0
Skewness20.628162
Sum4650055
Variance1.8213762 × 109
MonotonicityNot monotonic
2024-04-18T00:10:19.056960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1735
 
17.3%
400000 5
 
0.1%
100000 2
 
< 0.1%
1200000 1
 
< 0.1%
350000 1
 
< 0.1%
30 1
 
< 0.1%
900000 1
 
< 0.1%
25 1
 
< 0.1%
(Missing) 8253
82.5%
ValueCountFrequency (%)
0 1735
17.3%
25 1
 
< 0.1%
30 1
 
< 0.1%
100000 2
 
< 0.1%
350000 1
 
< 0.1%
400000 5
 
0.1%
900000 1
 
< 0.1%
1200000 1
 
< 0.1%
ValueCountFrequency (%)
1200000 1
 
< 0.1%
900000 1
 
< 0.1%
400000 5
 
0.1%
350000 1
 
< 0.1%
100000 2
 
< 0.1%
30 1
 
< 0.1%
25 1
 
< 0.1%
0 1735
17.3%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9999 
True
 
1
ValueCountFrequency (%)
False 9999
> 99.9%
True 1
 
< 0.1%
2024-04-18T00:10:19.130545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct272
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.671712
Minimum0
Maximum177
Zeros9622
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:10:19.215669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum177
Range177
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.3184898
Coefficient of variation (CV)7.9178126
Kurtosis337.74921
Mean0.671712
Median Absolute Deviation (MAD)0
Skewness15.057622
Sum6717.12
Variance28.286333
MonotonicityNot monotonic
2024-04-18T00:10:19.322303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9622
96.2%
3.0 11
 
0.1%
3.3 10
 
0.1%
10.0 9
 
0.1%
2.0 7
 
0.1%
1.0 7
 
0.1%
2.5 6
 
0.1%
16.0 5
 
0.1%
20.0 4
 
< 0.1%
15.0 4
 
< 0.1%
Other values (262) 315
 
3.1%
ValueCountFrequency (%)
0.0 9622
96.2%
0.8 2
 
< 0.1%
0.9 1
 
< 0.1%
1.0 7
 
0.1%
1.08 1
 
< 0.1%
1.1 1
 
< 0.1%
1.16 1
 
< 0.1%
1.25 1
 
< 0.1%
1.26 1
 
< 0.1%
1.3 1
 
< 0.1%
ValueCountFrequency (%)
177.0 1
< 0.1%
172.7 1
< 0.1%
118.47 1
< 0.1%
108.0 1
< 0.1%
100.23 1
< 0.1%
99.3 1
< 0.1%
76.0 1
< 0.1%
70.72 1
< 0.1%
70.0 1
< 0.1%
67.3 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
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
105106즉석판매제조가공업07_22_19_P34100003410000-107-2020-0031120201214<NA>3폐업2폐업20201227<NA><NA><NA><NA><NA>700082대구광역시 중구 계산동2가 0200 현대백화점 지하1층대구광역시 중구 달구벌대로 2077, 현대백화점 지하1층 (계산동2가)41936(주)지오에프앤씨20201228041509U2020-12-30 02:40:00.0즉석판매제조가공업343588.735555264119.01075즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1116311164즉석판매제조가공업07_22_19_P34500003450000-107-2019-0003320190121<NA>3폐업2폐업20200720<NA><NA><NA><NA>13.0702868대구광역시 북구 태전동 940-2대구광역시 북구 칠곡중앙대로 407-1, 5층 (태전동)41451코코상점20200720110720U2020-07-22 02:40:00.0즉석판매제조가공업339615.864957271304.871491즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
2708727088즉석판매제조가공업07_22_19_P34800003480000-107-2021-0011520211012<NA>1영업/정상1영업<NA><NA><NA><NA><NA>17.09711812대구광역시 달성군 다사읍 매곡리 892-7 1층대구광역시 달성군 다사읍 매곡로2길 8-1, 1층42908엔조이런치20211025164041U2021-10-27 02:40:00.0즉석판매제조가공업331399.927315263475.550125즉석판매제조가공업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
31493150즉석판매제조가공업07_22_19_P34100003410000-107-1997-0000519970519<NA>1영업/정상1영업<NA><NA><NA><NA>053 420704110.0700718대구광역시 중구 대봉동 0214 대백프라자식품관대구광역시 중구 명덕로 333 (대봉동, 대백프라자식품관)41953고기를담다20210225101408U2021-02-27 02:40:00.0즉석판매제조가공업345032.238221262949.871621즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
46864687즉석판매제조가공업07_22_19_P34200003420000-107-2021-0019320210607<NA>3폐업2폐업20210707<NA><NA><NA><NA><NA>701857대구광역시 동구 각산동 445대구광역시 동구 경안로 824-1, 1층 (각산동)41073행복한반찬가게20210708041509U2021-07-10 02:40:00.0즉석판매제조가공업354756.313394265338.16291즉석판매제조가공업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
37733774즉석판매제조가공업07_22_19_P34200003420000-107-2009-0003020090601<NA>3폐업2폐업20170313<NA><NA><NA>942 566581.0701822대구광역시 동구 신암동 674-28대구광역시 동구 신암북로11길 41 (신암동)41191녹원건강명가20090603173157I2018-08-31 23:59:59.0즉석판매제조가공업346328.076195266650.006746즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1608816089즉석판매제조가공업07_22_19_P34600003460000-107-2017-0000420170104<NA>3폐업2폐업20170118<NA><NA><NA>02 69593855<NA>706803대구광역시 수성구 만촌동 1356-5 (이마트만촌점)대구광역시 수성구 동원로 136 (만촌동, 이마트만촌점)42037주식회사 만구20170119041529I2018-08-31 23:59:59.0즉석판매제조가공업347757.985568264692.74418즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
45284529즉석판매제조가공업07_22_19_P34200003420000-107-2002-0003020021122<NA>3폐업2폐업20031021<NA><NA><NA>053 755221918.0701823대구광역시 동구 신천동 272-3<NA><NA>동보건강마을20021125000000I2018-08-31 23:59:59.0즉석판매제조가공업346090.396663264915.732689즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
2494124942즉석판매제조가공업07_22_19_P34700003470000-107-2003-0006220030826<NA>1영업/정상1영업<NA><NA><NA><NA>053 586609446.0704921대구광역시 달서구 신당동 1763-9대구광역시 달서구 성서서로 347-1 (신당동)42609고령방앗간20060601000000I2018-08-31 23:59:59.0즉석판매제조가공업335381.987171262806.13546즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>1000임대<NA><NA>N0.0<NA><NA><NA>
50665067즉석판매제조가공업07_22_19_P34200003420000-107-2010-0013320101206<NA>3폐업2폐업20130109<NA><NA><NA><NA>12.0701847대구광역시 동구 율하동 1474대구광역시 동구 율하동로 56 (율하동)41102이종희찬방20101206114943I2018-08-31 23:59:59.0즉석판매제조가공업353627.347669264048.300746즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
1141111412즉석판매제조가공업07_22_19_P34500003450000-107-2019-0027320190716<NA>3폐업2폐업20190817<NA><NA><NA><NA><NA>702062대구광역시 북구 칠성동2가 725대구광역시 북구 호암로 1, 롯데마트 칠성점 지하 2층 (칠성동2가)41585누리농특산20190818041508U2019-08-20 02:40:00.0즉석판매제조가공업343627.713997265993.984207즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1578215783즉석판매제조가공업07_22_19_P34600003460000-107-2010-0011620101008<NA>3폐업2폐업20150119<NA><NA><NA>053 431 170010.0706850대구광역시 수성구 황금동 75대구광역시 수성구 청호로 301 (황금동)42111NH한삼인대구20101013140056I2018-08-31 23:59:59.0즉석판매제조가공업347963.574116261719.996937즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1184611847즉석판매제조가공업07_22_19_P34500003450000-107-2000-0003520001011<NA>3폐업2폐업20040220<NA><NA><NA>324311146.2702807대구광역시 북구 구암동 682<NA><NA>대왕농산20020204000000I2018-08-31 23:59:59.0즉석판매제조가공업340435.488455270705.27622즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
23572358즉석판매제조가공업07_22_19_P34100003410000-107-2020-0009320200424<NA>3폐업2폐업20200430<NA><NA><NA><NA><NA>700082대구광역시 중구 계산동2가 0200 현대백화점식품관대구광역시 중구 달구벌대로 2077, 현대백화점식품관 (계산동2가)41936금덕푸드20211126094631U2021-11-28 02:40:00.0즉석판매제조가공업343588.735555264119.01075즉석판매제조가공업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
99309931즉석판매제조가공업07_22_19_P34400003440000-107-2020-0001420200310<NA>3폐업2폐업20221028<NA><NA><NA><NA>9.6705832대구광역시 남구 봉덕동 1292-5대구광역시 남구 효성로 56, 1층 (봉덕동)42515레오니(Reony)20221028154816U2022-10-30 02:40:00.0즉석판매제조가공업344396.091621260966.293228즉석판매제조가공업00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
71217122즉석판매제조가공업07_22_19_P34200003420000-107-2008-0003220080513<NA>1영업/정상1영업<NA><NA><NA><NA>753224215.0701828대구광역시 동구 신천동 484-1대구광역시 동구 효신로 27 (신천동)41246서울떡집20080530172452I2018-08-31 23:59:59.0즉석판매제조가공업347495.148574265038.764406즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1057810579즉석판매제조가공업07_22_19_P34500003450000-107-2005-0015220051007<NA>1영업/정상1영업<NA><NA><NA><NA>957428535.75702040대구광역시 북구 대현동 199-22대구광역시 북구 대현로19길 4 (대현동)41569의성참기름20180117164332I2018-08-31 23:59:59.0즉석판매제조가공업345330.177205265913.727874즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
43054306즉석판매제조가공업07_22_19_P34200003420000-107-2006-0000720060228<NA>3폐업2폐업20090312<NA><NA><NA><NA>26.98701844대구광역시 동구 효목동 435-2<NA><NA>달성참기름20060802000000I2018-08-31 23:59:59.0즉석판매제조가공업347831.875237265146.753266즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000자가<NA><NA>N0.0<NA><NA><NA>
33143315즉석판매제조가공업07_22_19_P34100003410000-107-2021-0015820210628<NA>1영업/정상1영업<NA><NA><NA><NA><NA>44.26700811대구광역시 중구 대봉동 0183-0026 1,2층대구광역시 중구 명덕로 297-1, 1,2층 (대봉동)41954백년대게(바다클라쓰)20210901130514U2021-09-03 02:40:00.0즉석판매제조가공업344704.558724262879.836546즉석판매제조가공업00<NA><NA>상수도전용00000자가00N0.0<NA><NA><NA>
1175311754즉석판매제조가공업07_22_19_P34500003450000-107-2003-0018520031006<NA>3폐업2폐업20051117<NA><NA><NA><NA>14.2702746대구광역시 북구 칠성동2가 302-155 롯데백화점식품부지하2층<NA><NA>주식회사우리네20041011000000I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0003임대<NA><NA>N0.0<NA><NA><NA>