Overview

Dataset statistics

Number of variables47
Number of observations3807
Missing cells44555
Missing cells (%)24.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory406.0 B

Variable types

Numeric16
Categorical15
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description22년10월_6270000_대구광역시_07_22_11_P_식품제조가공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096916&dataSetDetailId=DDI_0000096953&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
급수시설구분명 is highly imbalanced (55.7%)Imbalance
다중이용업소여부 is highly imbalanced (99.4%)Imbalance
홈페이지 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 3807 (100.0%) missing valuesMissing
폐업일자 has 1038 (27.3%) missing valuesMissing
휴업시작일자 has 3807 (100.0%) missing valuesMissing
휴업종료일자 has 3807 (100.0%) missing valuesMissing
재개업일자 has 3807 (100.0%) missing valuesMissing
소재지전화 has 1072 (28.2%) missing valuesMissing
소재지면적 has 136 (3.6%) missing valuesMissing
소재지우편번호 has 82 (2.2%) missing valuesMissing
도로명전체주소 has 1370 (36.0%) missing valuesMissing
도로명우편번호 has 1398 (36.7%) missing valuesMissing
좌표정보(X) has 172 (4.5%) missing valuesMissing
좌표정보(Y) has 172 (4.5%) missing valuesMissing
영업장주변구분명 has 3807 (100.0%) missing valuesMissing
등급구분명 has 3807 (100.0%) missing valuesMissing
본사직원수 has 617 (16.2%) missing valuesMissing
공장사무직직원수 has 606 (15.9%) missing valuesMissing
공장판매직직원수 has 626 (16.4%) missing valuesMissing
공장생산직직원수 has 535 (14.1%) missing valuesMissing
보증액 has 3124 (82.1%) missing valuesMissing
월세액 has 3125 (82.1%) missing valuesMissing
전통업소지정번호 has 3807 (100.0%) missing valuesMissing
전통업소주된음식 has 3807 (100.0%) missing valuesMissing
공장사무직직원수 is highly skewed (γ1 = 22.31387685)Skewed
공장판매직직원수 is highly skewed (γ1 = 28.91568837)Skewed
공장생산직직원수 is highly skewed (γ1 = 34.8366438)Skewed
시설총규모 is highly skewed (γ1 = 30.05113947)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
본사직원수 has 3064 (80.5%) zerosZeros
공장사무직직원수 has 2798 (73.5%) zerosZeros
공장판매직직원수 has 2965 (77.9%) zerosZeros
공장생산직직원수 has 2346 (61.6%) zerosZeros
보증액 has 619 (16.3%) zerosZeros
월세액 has 618 (16.2%) zerosZeros
시설총규모 has 3012 (79.1%) zerosZeros

Reproduction

Analysis started2023-12-10 19:17:09.060646
Analysis finished2023-12-10 19:17:11.233292
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3807
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1904
Minimum1
Maximum3807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:11.360560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile191.3
Q1952.5
median1904
Q32855.5
95-th percentile3616.7
Maximum3807
Range3806
Interquartile range (IQR)1903

Descriptive statistics

Standard deviation1099.1306
Coefficient of variation (CV)0.57727446
Kurtosis-1.2
Mean1904
Median Absolute Deviation (MAD)952
Skewness0
Sum7248528
Variance1208088
MonotonicityStrictly increasing
2023-12-11T04:17:11.611189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2544 1
 
< 0.1%
2532 1
 
< 0.1%
2533 1
 
< 0.1%
2534 1
 
< 0.1%
2535 1
 
< 0.1%
2536 1
 
< 0.1%
2537 1
 
< 0.1%
2538 1
 
< 0.1%
2539 1
 
< 0.1%
Other values (3797) 3797
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3807 1
< 0.1%
3806 1
< 0.1%
3805 1
< 0.1%
3804 1
< 0.1%
3803 1
< 0.1%
3802 1
< 0.1%
3801 1
< 0.1%
3800 1
< 0.1%
3799 1
< 0.1%
3798 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
식품제조가공업
3807 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 3807
100.0%

Length

2023-12-11T04:17:11.866883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:12.035353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 3807
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
07_22_11_P
3807 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_11_P
2nd row07_22_11_P
3rd row07_22_11_P
4th row07_22_11_P
5th row07_22_11_P

Common Values

ValueCountFrequency (%)
07_22_11_P 3807
100.0%

Length

2023-12-11T04:17:12.211495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:12.386597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_11_p 3807
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449879.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:12.605172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20887.711
Coefficient of variation (CV)0.0060546211
Kurtosis-0.95513848
Mean3449879.2
Median Absolute Deviation (MAD)20000
Skewness-0.30173183
Sum1.313369 × 1010
Variance4.3629648 × 108
MonotonicityIncreasing
2023-12-11T04:17:12.834696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 961
25.2%
3470000 654
17.2%
3480000 473
12.4%
3420000 443
11.6%
3460000 437
11.5%
3430000 370
 
9.7%
3440000 245
 
6.4%
3410000 224
 
5.9%
ValueCountFrequency (%)
3410000 224
 
5.9%
3420000 443
11.6%
3430000 370
 
9.7%
3440000 245
 
6.4%
3450000 961
25.2%
3460000 437
11.5%
3470000 654
17.2%
3480000 473
12.4%
ValueCountFrequency (%)
3480000 473
12.4%
3470000 654
17.2%
3460000 437
11.5%
3450000 961
25.2%
3440000 245
 
6.4%
3430000 370
 
9.7%
3420000 443
11.6%
3410000 224
 
5.9%

관리번호
Text

UNIQUE 

Distinct3807
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
2023-12-11T04:17:13.187078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters83754
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

Unique3807 ?
Unique (%)100.0%

Sample

1st row3410000-106-2004-00001
2nd row3410000-106-2004-00002
3rd row3410000-106-2004-00003
4th row3410000-106-2004-00004
5th row3410000-106-2004-00005
ValueCountFrequency (%)
3410000-106-2004-00001 1
 
< 0.1%
3460000-106-2010-00006 1
 
< 0.1%
3460000-106-2010-00011 1
 
< 0.1%
3460000-106-2010-00012 1
 
< 0.1%
3460000-106-2010-00013 1
 
< 0.1%
3460000-106-2010-00017 1
 
< 0.1%
3460000-106-2011-00002 1
 
< 0.1%
3460000-106-2011-00003 1
 
< 0.1%
3460000-106-2011-00004 1
 
< 0.1%
3460000-106-2011-00005 1
 
< 0.1%
Other values (3797) 3797
99.7%
2023-12-11T04:17:13.742367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38160
45.6%
- 11421
 
13.6%
1 8018
 
9.6%
2 5697
 
6.8%
3 5172
 
6.2%
6 4988
 
6.0%
4 4882
 
5.8%
5 1713
 
2.0%
7 1373
 
1.6%
9 1178
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72333
86.4%
Dash Punctuation 11421
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38160
52.8%
1 8018
 
11.1%
2 5697
 
7.9%
3 5172
 
7.2%
6 4988
 
6.9%
4 4882
 
6.7%
5 1713
 
2.4%
7 1373
 
1.9%
9 1178
 
1.6%
8 1152
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 11421
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 83754
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38160
45.6%
- 11421
 
13.6%
1 8018
 
9.6%
2 5697
 
6.8%
3 5172
 
6.2%
6 4988
 
6.0%
4 4882
 
5.8%
5 1713
 
2.0%
7 1373
 
1.6%
9 1178
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 83754
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38160
45.6%
- 11421
 
13.6%
1 8018
 
9.6%
2 5697
 
6.8%
3 5172
 
6.2%
6 4988
 
6.0%
4 4882
 
5.8%
5 1713
 
2.0%
7 1373
 
1.6%
9 1178
 
1.4%

인허가일자
Real number (ℝ)

Distinct2700
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20090210
Minimum19681218
Maximum20221031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:14.016755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19681218
5-th percentile19980407
Q120031114
median20091123
Q320150467
95-th percentile20201183
Maximum20221031
Range539813
Interquartile range (IQR)119352.5

Descriptive statistics

Standard deviation75641.175
Coefficient of variation (CV)0.0037650763
Kurtosis1.3414934
Mean20090210
Median Absolute Deviation (MAD)59587
Skewness-0.60451057
Sum7.6483431 × 1010
Variance5.7215874 × 109
MonotonicityNot monotonic
2023-12-11T04:17:14.275336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000302 28
 
0.7%
19960320 19
 
0.5%
19960516 7
 
0.2%
19930320 6
 
0.2%
20110520 6
 
0.2%
20130725 5
 
0.1%
20160523 5
 
0.1%
20071108 5
 
0.1%
20180706 5
 
0.1%
20120629 4
 
0.1%
Other values (2690) 3717
97.6%
ValueCountFrequency (%)
19681218 1
< 0.1%
19700224 1
< 0.1%
19710528 1
< 0.1%
19720522 1
< 0.1%
19720817 1
< 0.1%
19730502 1
< 0.1%
19740326 1
< 0.1%
19740803 1
< 0.1%
19741016 1
< 0.1%
19741220 1
< 0.1%
ValueCountFrequency (%)
20221031 1
< 0.1%
20221017 1
< 0.1%
20221012 1
< 0.1%
20221011 1
< 0.1%
20221006 2
0.1%
20220929 1
< 0.1%
20220920 1
< 0.1%
20220916 1
< 0.1%
20220914 1
< 0.1%
20220907 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3807
Missing (%)100.0%
Memory size33.6 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
3
2769 
1
1038 

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 2769
72.7%
1 1038
 
27.3%

Length

2023-12-11T04:17:14.498699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:14.679613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2769
72.7%
1 1038
 
27.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
폐업
2769 
영업/정상
1038 

Length

Max length5
Median length2
Mean length2.8179669
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2769
72.7%
영업/정상 1038
 
27.3%

Length

2023-12-11T04:17:14.870362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:15.045995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2769
72.7%
영업/정상 1038
 
27.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
2
2769 
1
1038 

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 2769
72.7%
1 1038
 
27.3%

Length

2023-12-11T04:17:15.225232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:15.379088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2769
72.7%
1 1038
 
27.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
폐업
2769 
영업
1038 

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 2769
72.7%
영업 1038
 
27.3%

Length

2023-12-11T04:17:15.593315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:15.788049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2769
72.7%
영업 1038
 
27.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct2057
Distinct (%)74.3%
Missing1038
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean20118232
Minimum20000424
Maximum20221031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:15.988387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000424
5-th percentile20030308
Q120070115
median20120508
Q320170406
95-th percentile20210808
Maximum20221031
Range220607
Interquartile range (IQR)100291

Descriptive statistics

Standard deviation58981.022
Coefficient of variation (CV)0.0029317199
Kurtosis-1.184847
Mean20118232
Median Absolute Deviation (MAD)50189
Skewness-0.01182671
Sum5.5707384 × 1010
Variance3.4787609 × 109
MonotonicityNot monotonic
2023-12-11T04:17:16.247205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20101231 6
 
0.2%
20181226 6
 
0.2%
20181127 5
 
0.1%
20030711 5
 
0.1%
20160114 4
 
0.1%
20180223 4
 
0.1%
20050408 4
 
0.1%
20140120 4
 
0.1%
20111230 4
 
0.1%
20120206 4
 
0.1%
Other values (2047) 2723
71.5%
(Missing) 1038
 
27.3%
ValueCountFrequency (%)
20000424 1
< 0.1%
20000512 1
< 0.1%
20000621 1
< 0.1%
20000905 1
< 0.1%
20000928 2
0.1%
20001106 1
< 0.1%
20001121 1
< 0.1%
20001217 1
< 0.1%
20010129 1
< 0.1%
20010212 1
< 0.1%
ValueCountFrequency (%)
20221031 1
< 0.1%
20221028 1
< 0.1%
20221026 1
< 0.1%
20221025 1
< 0.1%
20221014 1
< 0.1%
20221005 2
0.1%
20221004 1
< 0.1%
20220930 1
< 0.1%
20220928 1
< 0.1%
20220923 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3807
Missing (%)100.0%
Memory size33.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3807
Missing (%)100.0%
Memory size33.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3807
Missing (%)100.0%
Memory size33.6 KiB

소재지전화
Text

MISSING 

Distinct2533
Distinct (%)92.6%
Missing1072
Missing (%)28.2%
Memory size29.9 KiB
2023-12-11T04:17:16.826300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.848995
Min length3

Characters and Unicode

Total characters29672
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

Unique2342 ?
Unique (%)85.6%

Sample

1st row053 4244979
2nd row053 2564337
3rd row053 4240540
4th row053 4223318
5th row053 4294238
ValueCountFrequency (%)
053 2009
34.8%
070 69
 
1.2%
311 21
 
0.4%
313 15
 
0.3%
983 13
 
0.2%
621 13
 
0.2%
314 13
 
0.2%
767 12
 
0.2%
611 12
 
0.2%
615 11
 
0.2%
Other values (2691) 3584
62.1%
2023-12-11T04:17:17.571818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4902
16.5%
3 4338
14.6%
0 4248
14.3%
3117
10.5%
2 2124
7.2%
6 2094
7.1%
1 2055
6.9%
7 1884
 
6.3%
8 1783
 
6.0%
4 1636
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26555
89.5%
Space Separator 3117
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4902
18.5%
3 4338
16.3%
0 4248
16.0%
2 2124
8.0%
6 2094
7.9%
1 2055
7.7%
7 1884
 
7.1%
8 1783
 
6.7%
4 1636
 
6.2%
9 1491
 
5.6%
Space Separator
ValueCountFrequency (%)
3117
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4902
16.5%
3 4338
14.6%
0 4248
14.3%
3117
10.5%
2 2124
7.2%
6 2094
7.1%
1 2055
6.9%
7 1884
 
6.3%
8 1783
 
6.0%
4 1636
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4902
16.5%
3 4338
14.6%
0 4248
14.3%
3117
10.5%
2 2124
7.2%
6 2094
7.1%
1 2055
6.9%
7 1884
 
6.3%
8 1783
 
6.0%
4 1636
 
5.5%

소재지면적
Text

MISSING 

Distinct2651
Distinct (%)72.2%
Missing136
Missing (%)3.6%
Memory size29.9 KiB
2023-12-11T04:17:18.165493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.3780986
Min length3

Characters and Unicode

Total characters19743
Distinct characters12
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

Unique2166 ?
Unique (%)59.0%

Sample

1st row74.55
2nd row14.70
3rd row41.85
4th row120.60
5th row34.52
ValueCountFrequency (%)
66.00 30
 
0.8%
33.00 25
 
0.7%
20.00 25
 
0.7%
00 17
 
0.5%
40.00 17
 
0.5%
30.00 15
 
0.4%
26.40 13
 
0.4%
15.00 12
 
0.3%
132.00 12
 
0.3%
38.00 12
 
0.3%
Other values (2641) 3493
95.2%
2023-12-11T04:17:19.015354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3671
18.6%
0 3418
17.3%
1 1812
9.2%
2 1748
8.9%
4 1451
 
7.3%
3 1450
 
7.3%
5 1389
 
7.0%
6 1363
 
6.9%
8 1188
 
6.0%
7 1117
 
5.7%
Other values (2) 1136
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15998
81.0%
Other Punctuation 3745
 
19.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3418
21.4%
1 1812
11.3%
2 1748
10.9%
4 1451
9.1%
3 1450
9.1%
5 1389
8.7%
6 1363
 
8.5%
8 1188
 
7.4%
7 1117
 
7.0%
9 1062
 
6.6%
Other Punctuation
ValueCountFrequency (%)
. 3671
98.0%
, 74
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19743
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3671
18.6%
0 3418
17.3%
1 1812
9.2%
2 1748
8.9%
4 1451
 
7.3%
3 1450
 
7.3%
5 1389
 
7.0%
6 1363
 
6.9%
8 1188
 
6.0%
7 1117
 
5.7%
Other values (2) 1136
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19743
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3671
18.6%
0 3418
17.3%
1 1812
9.2%
2 1748
8.9%
4 1451
 
7.3%
3 1450
 
7.3%
5 1389
 
7.0%
6 1363
 
6.9%
8 1188
 
6.0%
7 1117
 
5.7%
Other values (2) 1136
 
5.8%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct551
Distinct (%)14.8%
Missing82
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean704582.79
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:19.267700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700837
Q1702805
median703833
Q3705823
95-th percentile711850
Maximum711893
Range11883
Interquartile range (IQR)3018

Descriptive statistics

Standard deviation3082.6203
Coefficient of variation (CV)0.0043751001
Kurtosis0.77645201
Mean704582.79
Median Absolute Deviation (MAD)1761
Skewness1.1838807
Sum2.6245709 × 109
Variance9502547.7
MonotonicityNot monotonic
2023-12-11T04:17:19.519969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702825 90
 
2.4%
702061 82
 
2.2%
703830 57
 
1.5%
703833 48
 
1.3%
702816 46
 
1.2%
704080 43
 
1.1%
702903 36
 
0.9%
704900 36
 
0.9%
711851 34
 
0.9%
701140 34
 
0.9%
Other values (541) 3219
84.6%
(Missing) 82
 
2.2%
ValueCountFrequency (%)
700010 2
 
0.1%
700020 1
 
< 0.1%
700030 1
 
< 0.1%
700040 1
 
< 0.1%
700050 3
0.1%
700060 1
 
< 0.1%
700070 1
 
< 0.1%
700082 3
0.1%
700091 1
 
< 0.1%
700092 6
0.2%
ValueCountFrequency (%)
711893 8
 
0.2%
711892 9
0.2%
711891 9
0.2%
711874 3
 
0.1%
711871 9
0.2%
711864 12
0.3%
711863 21
0.6%
711862 3
 
0.1%
711861 2
 
0.1%
711858 11
0.3%

소재지전체주소
Text

Distinct3535
Distinct (%)93.5%
Missing26
Missing (%)0.7%
Memory size29.9 KiB
2023-12-11T04:17:20.177031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length49
Mean length23.822534
Min length15

Characters and Unicode

Total characters90073
Distinct characters299
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

Unique3326 ?
Unique (%)88.0%

Sample

1st row대구광역시 중구 대봉동 0040-0033번지
2nd row대구광역시 중구 태평로1가 0001-0186번지
3rd row대구광역시 중구 남산동 2466-0001번지 보성황실아파트 116동 105호
4th row대구광역시 중구 봉산동 0165-0007번지
5th row대구광역시 중구 동인동3가 0302-0002번지
ValueCountFrequency (%)
대구광역시 3781
22.3%
북구 954
 
5.6%
달서구 651
 
3.8%
달성군 469
 
2.8%
동구 443
 
2.6%
수성구 425
 
2.5%
서구 371
 
2.2%
남구 245
 
1.4%
중구 224
 
1.3%
지상1층 201
 
1.2%
Other values (3928) 9200
54.2%
2023-12-11T04:17:21.175448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16926
18.8%
구 7198
 
8.0%
1 4472
 
5.0%
대 4116
 
4.6%
동 4029
 
4.5%
시 3836
 
4.3%
광 3786
 
4.2%
역 3786
 
4.2%
지 3487
 
3.9%
- 3156
 
3.5%
Other values (289) 35281
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50277
55.8%
Decimal Number 18763
 
20.8%
Space Separator 16926
 
18.8%
Dash Punctuation 3156
 
3.5%
Open Punctuation 346
 
0.4%
Close Punctuation 346
 
0.4%
Other Punctuation 126
 
0.1%
Uppercase Letter 117
 
0.1%
Math Symbol 13
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7198
14.3%
대 4116
 
8.2%
동 4029
 
8.0%
시 3836
 
7.6%
광 3786
 
7.5%
역 3786
 
7.5%
지 3487
 
6.9%
번 2971
 
5.9%
성 1196
 
2.4%
달 1188
 
2.4%
Other values (260) 14684
29.2%
Decimal Number
ValueCountFrequency (%)
1 4472
23.8%
2 2349
12.5%
0 2062
11.0%
3 1940
10.3%
4 1569
 
8.4%
5 1456
 
7.8%
6 1368
 
7.3%
7 1266
 
6.7%
8 1165
 
6.2%
9 1116
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 52
44.4%
A 49
41.9%
C 8
 
6.8%
E 2
 
1.7%
T 2
 
1.7%
D 2
 
1.7%
J 1
 
0.9%
P 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 116
92.1%
. 7
 
5.6%
/ 2
 
1.6%
: 1
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
c 1
33.3%
Space Separator
ValueCountFrequency (%)
16926
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 346
100.0%
Close Punctuation
ValueCountFrequency (%)
) 346
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50277
55.8%
Common 39676
44.0%
Latin 120
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7198
14.3%
대 4116
 
8.2%
동 4029
 
8.0%
시 3836
 
7.6%
광 3786
 
7.5%
역 3786
 
7.5%
지 3487
 
6.9%
번 2971
 
5.9%
성 1196
 
2.4%
달 1188
 
2.4%
Other values (260) 14684
29.2%
Common
ValueCountFrequency (%)
16926
42.7%
1 4472
 
11.3%
- 3156
 
8.0%
2 2349
 
5.9%
0 2062
 
5.2%
3 1940
 
4.9%
4 1569
 
4.0%
5 1456
 
3.7%
6 1368
 
3.4%
7 1266
 
3.2%
Other values (9) 3112
 
7.8%
Latin
ValueCountFrequency (%)
B 52
43.3%
A 49
40.8%
C 8
 
6.7%
e 2
 
1.7%
E 2
 
1.7%
T 2
 
1.7%
D 2
 
1.7%
J 1
 
0.8%
P 1
 
0.8%
c 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50277
55.8%
ASCII 39796
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16926
42.5%
1 4472
 
11.2%
- 3156
 
7.9%
2 2349
 
5.9%
0 2062
 
5.2%
3 1940
 
4.9%
4 1569
 
3.9%
5 1456
 
3.7%
6 1368
 
3.4%
7 1266
 
3.2%
Other values (19) 3232
 
8.1%
Hangul
ValueCountFrequency (%)
구 7198
14.3%
대 4116
 
8.2%
동 4029
 
8.0%
시 3836
 
7.6%
광 3786
 
7.5%
역 3786
 
7.5%
지 3487
 
6.9%
번 2971
 
5.9%
성 1196
 
2.4%
달 1188
 
2.4%
Other values (260) 14684
29.2%

도로명전체주소
Text

MISSING 

Distinct2327
Distinct (%)95.5%
Missing1370
Missing (%)36.0%
Memory size29.9 KiB
2023-12-11T04:17:21.855686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length54
Mean length27.845302
Min length20

Characters and Unicode

Total characters67859
Distinct characters323
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

Unique2228 ?
Unique (%)91.4%

Sample

1st row대구광역시 중구 남산로13길 17, 1층 (남산동, 보성황실아파트 116동 105호)
2nd row대구광역시 중구 동덕로30길 139-24, 1층 (동인동4가)
3rd row대구광역시 중구 서성로14길 85 (대안동, 지상2층)
4th row대구광역시 중구 남산로 23-15, 1층 (남산동)
5th row대구광역시 중구 달성공원로6길 8, 지상 1층 (대신동)
ValueCountFrequency (%)
대구광역시 2437
 
17.8%
북구 624
 
4.6%
1층 584
 
4.3%
달서구 361
 
2.6%
달성군 315
 
2.3%
동구 302
 
2.2%
수성구 285
 
2.1%
서구 236
 
1.7%
남구 162
 
1.2%
중구 153
 
1.1%
Other values (2656) 8204
60.0%
2023-12-11T04:17:22.808927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11227
 
16.5%
구 4792
 
7.1%
1 3062
 
4.5%
동 2947
 
4.3%
대 2945
 
4.3%
시 2541
 
3.7%
역 2457
 
3.6%
광 2438
 
3.6%
) 2242
 
3.3%
( 2242
 
3.3%
Other values (313) 30966
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38816
57.2%
Space Separator 11227
 
16.5%
Decimal Number 11031
 
16.3%
Close Punctuation 2242
 
3.3%
Open Punctuation 2242
 
3.3%
Other Punctuation 1355
 
2.0%
Dash Punctuation 773
 
1.1%
Uppercase Letter 145
 
0.2%
Math Symbol 26
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4792
 
12.3%
동 2947
 
7.6%
대 2945
 
7.6%
시 2541
 
6.5%
역 2457
 
6.3%
광 2438
 
6.3%
로 2232
 
5.8%
길 1695
 
4.4%
성 1038
 
2.7%
층 1030
 
2.7%
Other values (281) 14701
37.9%
Uppercase Letter
ValueCountFrequency (%)
B 61
42.1%
A 54
37.2%
C 12
 
8.3%
T 4
 
2.8%
E 3
 
2.1%
D 3
 
2.1%
P 2
 
1.4%
J 2
 
1.4%
F 1
 
0.7%
M 1
 
0.7%
Other values (2) 2
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 3062
27.8%
2 1648
14.9%
3 1290
11.7%
4 925
 
8.4%
5 873
 
7.9%
6 785
 
7.1%
0 705
 
6.4%
7 682
 
6.2%
8 577
 
5.2%
9 484
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 1347
99.4%
· 4
 
0.3%
. 4
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
11227
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2242
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 773
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38816
57.2%
Common 28896
42.6%
Latin 147
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4792
 
12.3%
동 2947
 
7.6%
대 2945
 
7.6%
시 2541
 
6.5%
역 2457
 
6.3%
광 2438
 
6.3%
로 2232
 
5.8%
길 1695
 
4.4%
성 1038
 
2.7%
층 1030
 
2.7%
Other values (281) 14701
37.9%
Common
ValueCountFrequency (%)
11227
38.9%
1 3062
 
10.6%
) 2242
 
7.8%
( 2242
 
7.8%
2 1648
 
5.7%
, 1347
 
4.7%
3 1290
 
4.5%
4 925
 
3.2%
5 873
 
3.0%
6 785
 
2.7%
Other values (8) 3255
 
11.3%
Latin
ValueCountFrequency (%)
B 61
41.5%
A 54
36.7%
C 12
 
8.2%
T 4
 
2.7%
E 3
 
2.0%
D 3
 
2.0%
P 2
 
1.4%
J 2
 
1.4%
F 1
 
0.7%
M 1
 
0.7%
Other values (4) 4
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38816
57.2%
ASCII 29039
42.8%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11227
38.7%
1 3062
 
10.5%
) 2242
 
7.7%
( 2242
 
7.7%
2 1648
 
5.7%
, 1347
 
4.6%
3 1290
 
4.4%
4 925
 
3.2%
5 873
 
3.0%
6 785
 
2.7%
Other values (21) 3398
 
11.7%
Hangul
ValueCountFrequency (%)
구 4792
 
12.3%
동 2947
 
7.6%
대 2945
 
7.6%
시 2541
 
6.5%
역 2457
 
6.3%
광 2438
 
6.3%
로 2232
 
5.8%
길 1695
 
4.4%
성 1038
 
2.7%
층 1030
 
2.7%
Other values (281) 14701
37.9%
None
ValueCountFrequency (%)
· 4
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct819
Distinct (%)34.0%
Missing1398
Missing (%)36.7%
Infinite0
Infinite (%)0.0%
Mean42014.793
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:23.390809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41109
Q141489
median41933
Q342662
95-th percentile42972
Maximum43024
Range2024
Interquartile range (IQR)1173

Descriptive statistics

Standard deviation616.45561
Coefficient of variation (CV)0.014672347
Kurtosis-1.300108
Mean42014.793
Median Absolute Deviation (MAD)492
Skewness0.16662083
Sum1.0121364 × 108
Variance380017.52
MonotonicityNot monotonic
2023-12-11T04:17:23.655514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41485 45
 
1.2%
41582 42
 
1.1%
41490 37
 
1.0%
41557 25
 
0.7%
41488 23
 
0.6%
41755 19
 
0.5%
42975 18
 
0.5%
42703 18
 
0.5%
42970 18
 
0.5%
41123 16
 
0.4%
Other values (809) 2148
56.4%
(Missing) 1398
36.7%
ValueCountFrequency (%)
41000 8
0.2%
41001 3
 
0.1%
41002 4
0.1%
41005 1
 
< 0.1%
41007 4
0.1%
41008 2
 
0.1%
41009 4
0.1%
41015 1
 
< 0.1%
41016 1
 
< 0.1%
41017 1
 
< 0.1%
ValueCountFrequency (%)
43024 1
 
< 0.1%
43023 5
0.1%
43022 1
 
< 0.1%
43013 2
 
0.1%
43012 1
 
< 0.1%
43011 6
0.2%
43009 1
 
< 0.1%
43008 2
 
0.1%
43007 1
 
< 0.1%
43006 4
0.1%

사업장명
Text

Distinct3217
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
2023-12-11T04:17:24.104004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length5.9133176
Min length1

Characters and Unicode

Total characters22512
Distinct characters771
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2801 ?
Unique (%)73.6%

Sample

1st row원숭이식품
2nd row동북상회
3rd row황실떡집
4th row에프엔에스
5th row이유통
ValueCountFrequency (%)
주식회사 101
 
2.4%
농업회사법인 15
 
0.4%
우리식품 14
 
0.3%
커피 14
 
0.3%
주 14
 
0.3%
푸드 12
 
0.3%
coffee 11
 
0.3%
제일식품 11
 
0.3%
food 9
 
0.2%
현대식품 9
 
0.2%
Other values (3401) 4057
95.1%
2023-12-11T04:17:24.810045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 1257
 
5.6%
품 1096
 
4.9%
주 646
 
2.9%
) 610
 
2.7%
( 602
 
2.7%
드 477
 
2.1%
462
 
2.1%
푸 447
 
2.0%
이 412
 
1.8%
스 367
 
1.6%
Other values (761) 16136
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19765
87.8%
Close Punctuation 610
 
2.7%
Open Punctuation 602
 
2.7%
Uppercase Letter 512
 
2.3%
Space Separator 462
 
2.1%
Lowercase Letter 438
 
1.9%
Decimal Number 61
 
0.3%
Other Punctuation 59
 
0.3%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 1257
 
6.4%
품 1096
 
5.5%
주 646
 
3.3%
드 477
 
2.4%
푸 447
 
2.3%
이 412
 
2.1%
스 367
 
1.9%
사 332
 
1.7%
산 307
 
1.6%
리 301
 
1.5%
Other values (694) 14123
71.5%
Uppercase Letter
ValueCountFrequency (%)
F 51
 
10.0%
O 45
 
8.8%
S 40
 
7.8%
C 39
 
7.6%
B 35
 
6.8%
T 27
 
5.3%
N 27
 
5.3%
E 25
 
4.9%
D 25
 
4.9%
M 24
 
4.7%
Other values (14) 174
34.0%
Lowercase Letter
ValueCountFrequency (%)
e 81
18.5%
o 62
14.2%
f 36
 
8.2%
n 34
 
7.8%
a 31
 
7.1%
s 23
 
5.3%
c 23
 
5.3%
r 22
 
5.0%
t 20
 
4.6%
d 16
 
3.7%
Other values (13) 90
20.5%
Decimal Number
ValueCountFrequency (%)
2 14
23.0%
1 12
19.7%
3 9
14.8%
5 6
9.8%
6 5
 
8.2%
4 4
 
6.6%
9 3
 
4.9%
0 3
 
4.9%
8 3
 
4.9%
7 2
 
3.3%
Other Punctuation
ValueCountFrequency (%)
& 35
59.3%
. 15
25.4%
' 4
 
6.8%
, 3
 
5.1%
· 2
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 610
100.0%
Open Punctuation
ValueCountFrequency (%)
( 602
100.0%
Space Separator
ValueCountFrequency (%)
462
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19760
87.8%
Common 1797
 
8.0%
Latin 950
 
4.2%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 1257
 
6.4%
품 1096
 
5.5%
주 646
 
3.3%
드 477
 
2.4%
푸 447
 
2.3%
이 412
 
2.1%
스 367
 
1.9%
사 332
 
1.7%
산 307
 
1.6%
리 301
 
1.5%
Other values (689) 14118
71.4%
Latin
ValueCountFrequency (%)
e 81
 
8.5%
o 62
 
6.5%
F 51
 
5.4%
O 45
 
4.7%
S 40
 
4.2%
C 39
 
4.1%
f 36
 
3.8%
B 35
 
3.7%
n 34
 
3.6%
a 31
 
3.3%
Other values (37) 496
52.2%
Common
ValueCountFrequency (%)
) 610
33.9%
( 602
33.5%
462
25.7%
& 35
 
1.9%
. 15
 
0.8%
2 14
 
0.8%
1 12
 
0.7%
3 9
 
0.5%
5 6
 
0.3%
6 5
 
0.3%
Other values (10) 27
 
1.5%
Han
ValueCountFrequency (%)
手 1
20.0%
本 1
20.0%
禮 1
20.0%
嘉 1
20.0%
蓮 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19760
87.8%
ASCII 2745
 
12.2%
CJK 5
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 1257
 
6.4%
품 1096
 
5.5%
주 646
 
3.3%
드 477
 
2.4%
푸 447
 
2.3%
이 412
 
2.1%
스 367
 
1.9%
사 332
 
1.7%
산 307
 
1.6%
리 301
 
1.5%
Other values (689) 14118
71.4%
ASCII
ValueCountFrequency (%)
) 610
22.2%
( 602
21.9%
462
16.8%
e 81
 
3.0%
o 62
 
2.3%
F 51
 
1.9%
O 45
 
1.6%
S 40
 
1.5%
C 39
 
1.4%
f 36
 
1.3%
Other values (56) 717
26.1%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
手 1
20.0%
本 1
20.0%
禮 1
20.0%
嘉 1
20.0%
蓮 1
20.0%

최종수정시점
Real number (ℝ)

Distinct3401
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0133422 × 1013
Minimum2.001082 × 1013
Maximum2.0221031 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:25.040875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001082 × 1013
5-th percentile2.0020714 × 1013
Q12.0071102 × 1013
median2.0160108 × 1013
Q32.0191211 × 1013
95-th percentile2.0220506 × 1013
Maximum2.0221031 × 1013
Range2.1021117 × 1011
Interquartile range (IQR)1.2010947 × 1011

Descriptive statistics

Standard deviation6.8123314 × 1010
Coefficient of variation (CV)0.0033835934
Kurtosis-1.3143234
Mean2.0133422 × 1013
Median Absolute Deviation (MAD)5.0806999 × 1010
Skewness-0.33250178
Sum7.6647939 × 1016
Variance4.6407859 × 1021
MonotonicityNot monotonic
2023-12-11T04:17:25.225472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020205000000 55
 
1.4%
20041011000000 23
 
0.6%
20020926000000 21
 
0.6%
20030407000000 18
 
0.5%
20010821000000 18
 
0.5%
20020508000000 14
 
0.4%
20020507000000 13
 
0.3%
20020509000000 13
 
0.3%
20021108000000 12
 
0.3%
20031027000000 12
 
0.3%
Other values (3391) 3608
94.8%
ValueCountFrequency (%)
20010820000000 4
 
0.1%
20010821000000 18
0.5%
20011108000000 2
 
0.1%
20011119000000 1
 
< 0.1%
20011122000000 1
 
< 0.1%
20011126000000 1
 
< 0.1%
20011128000000 3
 
0.1%
20011210000000 1
 
< 0.1%
20011226000000 1
 
< 0.1%
20011228000000 1
 
< 0.1%
ValueCountFrequency (%)
20221031171927 1
< 0.1%
20221031132528 1
< 0.1%
20221031110231 1
< 0.1%
20221028132522 1
< 0.1%
20221028095329 1
< 0.1%
20221027164453 1
< 0.1%
20221026110731 1
< 0.1%
20221026102423 1
< 0.1%
20221025115032 1
< 0.1%
20221019165307 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
I
2682 
U
1125 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2682
70.4%
U 1125
29.6%

Length

2023-12-11T04:17:25.413000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:25.593930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2682
70.4%
u 1125
29.6%

데이터갱신일자
Date

Distinct782
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
Minimum2018-08-31 23:59:59
Maximum2022-11-02 02:40:00
2023-12-11T04:17:25.765688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:17:26.003263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
식품제조가공업
2796 
기타 식품제조가공업
983 
도시락제조업
 
28

Length

Max length10
Median length7
Mean length7.7672708
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 2796
73.4%
기타 식품제조가공업 983
 
25.8%
도시락제조업 28
 
0.7%

Length

2023-12-11T04:17:26.236022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:26.408861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 3779
78.9%
기타 983
 
20.5%
도시락제조업 28
 
0.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3110
Distinct (%)85.6%
Missing172
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean341850.54
Minimum323038.14
Maximum356965.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:26.563641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum323038.14
5-th percentile331581.16
Q1338738.2
median341572.44
Q3345489.18
95-th percentile352927.15
Maximum356965.56
Range33927.418
Interquartile range (IQR)6750.9818

Descriptive statistics

Standard deviation5851.3378
Coefficient of variation (CV)0.017116655
Kurtosis0.10037925
Mean341850.54
Median Absolute Deviation (MAD)3353.2534
Skewness-0.022414611
Sum1.2426267 × 109
Variance34238154
MonotonicityNot monotonic
2023-12-11T04:17:26.774418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339243.983122 27
 
0.7%
334406.500396 7
 
0.2%
336661.678722 7
 
0.2%
346004.036082 5
 
0.1%
348434.155718 5
 
0.1%
343260.899953 4
 
0.1%
345484.223256 4
 
0.1%
326739.522357 4
 
0.1%
338678.797273 4
 
0.1%
332327.523657 4
 
0.1%
Other values (3100) 3564
93.6%
(Missing) 172
 
4.5%
ValueCountFrequency (%)
323038.137302 1
 
< 0.1%
323583.427786 1
 
< 0.1%
325649.192591 1
 
< 0.1%
325694.253396 1
 
< 0.1%
326018.881016 1
 
< 0.1%
326032.481595 1
 
< 0.1%
326631.950345 1
 
< 0.1%
326739.522357 4
0.1%
326760.851184 1
 
< 0.1%
326950.230819 1
 
< 0.1%
ValueCountFrequency (%)
356965.555233 1
 
< 0.1%
356410.892344 1
 
< 0.1%
356388.525062 1
 
< 0.1%
356370.038499 1
 
< 0.1%
356353.91544 1
 
< 0.1%
356351.617491 1
 
< 0.1%
356349.757069 3
0.1%
356345.316761 1
 
< 0.1%
356335.999166 1
 
< 0.1%
356331.110923 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3109
Distinct (%)85.5%
Missing172
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean263393.41
Minimum236164.39
Maximum278073.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:26.986481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236164.39
5-th percentile253721.44
Q1261106.31
median263998.26
Q3266456.37
95-th percentile271935.2
Maximum278073.62
Range41909.231
Interquartile range (IQR)5350.0575

Descriptive statistics

Standard deviation5383.4321
Coefficient of variation (CV)0.02043875
Kurtosis3.3068785
Mean263393.41
Median Absolute Deviation (MAD)2700.2353
Skewness-1.105118
Sum9.5743504 × 108
Variance28981341
MonotonicityNot monotonic
2023-12-11T04:17:27.171096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268026.454531 27
 
0.7%
260208.38965 7
 
0.2%
261224.266018 7
 
0.2%
264017.165939 5
 
0.1%
269131.73002 5
 
0.1%
249198.891144 4
 
0.1%
267937.999113 4
 
0.1%
261957.795169 4
 
0.1%
274125.937518 4
 
0.1%
265012.3332 4
 
0.1%
Other values (3099) 3564
93.6%
(Missing) 172
 
4.5%
ValueCountFrequency (%)
236164.392418 1
< 0.1%
237999.437164 1
< 0.1%
238531.35408 1
< 0.1%
238772.106218 1
< 0.1%
238772.40735 1
< 0.1%
238824.505921 1
< 0.1%
238893.362765 1
< 0.1%
238893.829912 1
< 0.1%
239059.112588 1
< 0.1%
239098.142264 1
< 0.1%
ValueCountFrequency (%)
278073.623286 1
< 0.1%
278029.090204 1
< 0.1%
277860.926384 1
< 0.1%
277755.206408 2
0.1%
277749.024029 1
< 0.1%
277673.246368 1
< 0.1%
277500.515376 1
< 0.1%
277489.106534 1
< 0.1%
277348.717166 1
< 0.1%
277022.824657 1
< 0.1%

위생업태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
식품제조가공업
2796 
기타 식품제조가공업
983 
도시락제조업
 
28

Length

Max length10
Median length7
Mean length7.7672708
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 2796
73.4%
기타 식품제조가공업 983
 
25.8%
도시락제조업 28
 
0.7%

Length

2023-12-11T04:17:27.396226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:27.553651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 3779
78.9%
기타 983
 
20.5%
도시락제조업 28
 
0.6%

남성종사자수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
<NA>
3301 
0
506 

Length

Max length4
Median length4
Mean length3.6012608
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3301
86.7%
0 506
 
13.3%

Length

2023-12-11T04:17:27.732960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:27.897518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3301
86.7%
0 506
 
13.3%

여성종사자수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
<NA>
3301 
0
506 

Length

Max length4
Median length4
Mean length3.6012608
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3301
86.7%
0 506
 
13.3%

Length

2023-12-11T04:17:28.054315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:28.187487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3301
86.7%
0 506
 
13.3%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3807
Missing (%)100.0%
Memory size33.6 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3807
Missing (%)100.0%
Memory size33.6 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
상수도전용
2222 
<NA>
1564 
지하수전용
 
16
간이상수도
 
3
상수도(음용)지하수(주방용)겸용
 
2

Length

Max length17
Median length5
Mean length4.595482
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 2222
58.4%
<NA> 1564
41.1%
지하수전용 16
 
0.4%
간이상수도 3
 
0.1%
상수도(음용)지하수(주방용)겸용 2
 
0.1%

Length

2023-12-11T04:17:28.346236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:28.534910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 2222
58.4%
na 1564
41.1%
지하수전용 16
 
0.4%
간이상수도 3
 
0.1%
상수도(음용)지하수(주방용)겸용 2
 
0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
<NA>
3315 
0
492 

Length

Max length4
Median length4
Mean length3.6122931
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> 3315
87.1%
0 492
 
12.9%

Length

2023-12-11T04:17:28.734247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:28.899951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3315
87.1%
0 492
 
12.9%

본사직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.3%
Missing617
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean0.068338558
Minimum0
Maximum12
Zeros3064
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:29.051626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.45115864
Coefficient of variation (CV)6.6018168
Kurtosis214.01191
Mean0.068338558
Median Absolute Deviation (MAD)0
Skewness11.992935
Sum218
Variance0.20354412
MonotonicityNot monotonic
2023-12-11T04:17:29.220882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 3064
80.5%
1 87
 
2.3%
3 15
 
0.4%
2 14
 
0.4%
5 5
 
0.1%
4 2
 
0.1%
12 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
(Missing) 617
 
16.2%
ValueCountFrequency (%)
0 3064
80.5%
1 87
 
2.3%
2 14
 
0.4%
3 15
 
0.4%
4 2
 
0.1%
5 5
 
0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%
5 5
 
0.1%
4 2
 
0.1%
3 15
 
0.4%
2 14
 
0.4%
1 87
 
2.3%
0 3064
80.5%

공장사무직직원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11
Distinct (%)0.3%
Missing606
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean0.20462356
Minimum0
Maximum40
Zeros2798
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:29.399805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0174987
Coefficient of variation (CV)4.9725395
Kurtosis770.11723
Mean0.20462356
Median Absolute Deviation (MAD)0
Skewness22.313877
Sum655
Variance1.0353036
MonotonicityNot monotonic
2023-12-11T04:17:29.605344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 2798
73.5%
1 302
 
7.9%
2 59
 
1.5%
3 21
 
0.6%
4 8
 
0.2%
6 4
 
0.1%
5 3
 
0.1%
11 2
 
0.1%
15 2
 
0.1%
40 1
 
< 0.1%
(Missing) 606
 
15.9%
ValueCountFrequency (%)
0 2798
73.5%
1 302
 
7.9%
2 59
 
1.5%
3 21
 
0.6%
4 8
 
0.2%
5 3
 
0.1%
6 4
 
0.1%
9 1
 
< 0.1%
11 2
 
0.1%
15 2
 
0.1%
ValueCountFrequency (%)
40 1
 
< 0.1%
15 2
 
0.1%
11 2
 
0.1%
9 1
 
< 0.1%
6 4
 
0.1%
5 3
 
0.1%
4 8
 
0.2%
3 21
 
0.6%
2 59
 
1.5%
1 302
7.9%

공장판매직직원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct9
Distinct (%)0.3%
Missing626
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean0.10185476
Minimum0
Maximum30
Zeros2965
Zeros (%)77.9%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:29.797398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6801311
Coefficient of variation (CV)6.67746
Kurtosis1194.9323
Mean0.10185476
Median Absolute Deviation (MAD)0
Skewness28.915688
Sum324
Variance0.46257832
MonotonicityNot monotonic
2023-12-11T04:17:29.970120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 2965
77.9%
1 166
 
4.4%
2 36
 
0.9%
3 7
 
0.2%
5 2
 
0.1%
4 2
 
0.1%
10 1
 
< 0.1%
7 1
 
< 0.1%
30 1
 
< 0.1%
(Missing) 626
 
16.4%
ValueCountFrequency (%)
0 2965
77.9%
1 166
 
4.4%
2 36
 
0.9%
3 7
 
0.2%
4 2
 
0.1%
5 2
 
0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
30 1
 
< 0.1%
ValueCountFrequency (%)
30 1
 
< 0.1%
10 1
 
< 0.1%
7 1
 
< 0.1%
5 2
 
0.1%
4 2
 
0.1%
3 7
 
0.2%
2 36
 
0.9%
1 166
 
4.4%
0 2965
77.9%

공장생산직직원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct27
Distinct (%)0.8%
Missing535
Missing (%)14.1%
Infinite0
Infinite (%)0.0%
Mean0.81448655
Minimum0
Maximum220
Zeros2346
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:30.147124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum220
Range220
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.6454349
Coefficient of variation (CV)5.7035133
Kurtosis1552.6272
Mean0.81448655
Median Absolute Deviation (MAD)0
Skewness34.836644
Sum2665
Variance21.580065
MonotonicityNot monotonic
2023-12-11T04:17:30.346724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2346
61.6%
1 460
 
12.1%
2 202
 
5.3%
3 107
 
2.8%
4 48
 
1.3%
5 31
 
0.8%
7 18
 
0.5%
6 13
 
0.3%
8 12
 
0.3%
10 7
 
0.2%
Other values (17) 28
 
0.7%
(Missing) 535
 
14.1%
ValueCountFrequency (%)
0 2346
61.6%
1 460
 
12.1%
2 202
 
5.3%
3 107
 
2.8%
4 48
 
1.3%
5 31
 
0.8%
6 13
 
0.3%
7 18
 
0.5%
8 12
 
0.3%
9 5
 
0.1%
ValueCountFrequency (%)
220 1
< 0.1%
83 1
< 0.1%
50 1
< 0.1%
42 1
< 0.1%
32 1
< 0.1%
28 1
< 0.1%
25 1
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 2
0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
<NA>
1825 
임대
1156 
자가
826 

Length

Max length4
Median length2
Mean length2.9587602
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1825
47.9%
임대 1156
30.4%
자가 826
21.7%

Length

2023-12-11T04:17:30.561007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:30.766174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1825
47.9%
임대 1156
30.4%
자가 826
21.7%

보증액
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)2.6%
Missing3124
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean907616.11
Minimum0
Maximum50000000
Zeros619
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:30.943769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5900000
Maximum50000000
Range50000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4142614.7
Coefficient of variation (CV)4.5642808
Kurtosis76.246342
Mean907616.11
Median Absolute Deviation (MAD)0
Skewness7.8107024
Sum6.199018 × 108
Variance1.7161257 × 1013
MonotonicityNot monotonic
2023-12-11T04:17:31.159174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 619
 
16.3%
10000000 24
 
0.6%
5000000 19
 
0.5%
3000000 3
 
0.1%
8000000 2
 
0.1%
30000000 2
 
0.1%
50000000 2
 
0.1%
2000000 2
 
0.1%
500 1
 
< 0.1%
6000000 1
 
< 0.1%
Other values (8) 8
 
0.2%
(Missing) 3124
82.1%
ValueCountFrequency (%)
0 619
16.3%
300 1
 
< 0.1%
500 1
 
< 0.1%
1000 1
 
< 0.1%
500000 1
 
< 0.1%
2000000 2
 
0.1%
3000000 3
 
0.1%
4400000 1
 
< 0.1%
5000000 19
 
0.5%
6000000 1
 
< 0.1%
ValueCountFrequency (%)
50000000 2
 
0.1%
40000000 1
 
< 0.1%
30000000 2
 
0.1%
20000000 1
 
< 0.1%
18000000 1
 
< 0.1%
10000000 24
0.6%
8000000 2
 
0.1%
7000000 1
 
< 0.1%
6000000 1
 
< 0.1%
5000000 19
0.5%

월세액
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)3.8%
Missing3125
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean50938.695
Minimum0
Maximum2200000
Zeros618
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:31.357075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile400000
Maximum2200000
Range2200000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation203002.35
Coefficient of variation (CV)3.9852288
Kurtosis44.51563
Mean50938.695
Median Absolute Deviation (MAD)0
Skewness5.8956633
Sum34740190
Variance4.1209956 × 1010
MonotonicityNot monotonic
2023-12-11T04:17:31.563913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 618
 
16.2%
300000 13
 
0.3%
500000 11
 
0.3%
400000 5
 
0.1%
600000 4
 
0.1%
350000 3
 
0.1%
200000 3
 
0.1%
800000 3
 
0.1%
450000 2
 
0.1%
250000 2
 
0.1%
Other values (16) 18
 
0.5%
(Missing) 3125
82.1%
ValueCountFrequency (%)
0 618
16.2%
10 1
 
< 0.1%
30 1
 
< 0.1%
150 1
 
< 0.1%
150000 1
 
< 0.1%
200000 3
 
0.1%
250000 2
 
0.1%
300000 13
 
0.3%
350000 3
 
0.1%
400000 5
 
0.1%
ValueCountFrequency (%)
2200000 1
 
< 0.1%
2000000 1
 
< 0.1%
1800000 1
 
< 0.1%
1300000 1
 
< 0.1%
1200000 1
 
< 0.1%
1100000 1
 
< 0.1%
900000 1
 
< 0.1%
850000 2
0.1%
800000 3
0.1%
750000 1
 
< 0.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
False
3805 
True
 
2
ValueCountFrequency (%)
False 3805
99.9%
True 2
 
0.1%
2023-12-11T04:17:31.735911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct553
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.098526
Minimum0
Maximum4673.38
Zeros3012
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2023-12-11T04:17:31.911606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile41.631
Maximum4673.38
Range4673.38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation122.19218
Coefficient of variation (CV)10.099757
Kurtosis1053.0447
Mean12.098526
Median Absolute Deviation (MAD)0
Skewness30.051139
Sum46059.09
Variance14930.929
MonotonicityNot monotonic
2023-12-11T04:17:32.551432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3012
79.1%
3.0 24
 
0.6%
6.0 17
 
0.4%
1.0 15
 
0.4%
4.0 12
 
0.3%
2.0 12
 
0.3%
3.3 10
 
0.3%
4.5 8
 
0.2%
1.2 8
 
0.2%
9.0 7
 
0.2%
Other values (543) 682
 
17.9%
ValueCountFrequency (%)
0.0 3012
79.1%
1.0 15
 
0.4%
1.1 1
 
< 0.1%
1.2 8
 
0.2%
1.23 1
 
< 0.1%
1.3 1
 
< 0.1%
1.39 1
 
< 0.1%
1.5 5
 
0.1%
1.64 1
 
< 0.1%
1.7 1
 
< 0.1%
ValueCountFrequency (%)
4673.38 1
< 0.1%
4439.37 1
< 0.1%
2313.89 1
< 0.1%
1680.5 1
< 0.1%
943.03 1
< 0.1%
875.0 1
< 0.1%
802.0 1
< 0.1%
701.08 1
< 0.1%
695.92 1
< 0.1%
569.6 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3807
Missing (%)100.0%
Memory size33.6 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3807
Missing (%)100.0%
Memory size33.6 KiB

홈페이지
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
<NA>
3805 
4
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.998424
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3805
99.9%
4 1
 
< 0.1%
6 1
 
< 0.1%

Length

2023-12-11T04:17:32.768727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:17:32.926065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3805
99.9%
4 1
 
< 0.1%
6 1
 
< 0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01식품제조가공업07_22_11_P34100003410000-106-2004-0000120040315<NA>3폐업2폐업20041204<NA><NA><NA><NA>74.55700809대구광역시 중구 대봉동 0040-0033번지<NA><NA>원숭이식품20040409000000I2018-08-31 23:59:59.0식품제조가공업344927.7812263298.66826식품제조가공업00<NA><NA>상수도전용<NA>0111임대<NA><NA>N0.0<NA><NA><NA>
12식품제조가공업07_22_11_P34100003410000-106-2004-0000220040507<NA>3폐업2폐업20050324<NA><NA><NA>053 424497914.70700111대구광역시 중구 태평로1가 0001-0186번지<NA><NA>동북상회20041102000000I2018-08-31 23:59:59.0식품제조가공업344182.487426265065.535111식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0011<NA><NA><NA>N0.0<NA><NA><NA>
23식품제조가공업07_22_11_P34100003410000-106-2004-0000320040524<NA>3폐업2폐업20150424<NA><NA><NA>053 256433741.85700837대구광역시 중구 남산동 2466-0001번지 보성황실아파트 116동 105호대구광역시 중구 남산로13길 17, 1층 (남산동, 보성황실아파트 116동 105호)41978황실떡집20150304143402I2018-08-31 23:59:59.0식품제조가공업342754.486268263376.49575식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0002자가<NA><NA>N0.0<NA><NA><NA>
34식품제조가공업07_22_11_P34100003410000-106-2004-0000420040629<NA>3폐업2폐업20040908<NA><NA><NA>053 4240540120.60700823대구광역시 중구 봉산동 0165-0007번지<NA><NA>에프엔에스20040901000000I2018-08-31 23:59:59.0식품제조가공업344341.820223263777.999999식품제조가공업00<NA><NA>상수도전용<NA>0121임대<NA><NA>N0.0<NA><NA><NA>
45식품제조가공업07_22_11_P34100003410000-106-2004-0000520041101<NA>3폐업2폐업20080717<NA><NA><NA>053 422331834.52700845대구광역시 중구 동인동3가 0302-0002번지<NA><NA>이유통20071126103251I2018-08-31 23:59:59.0식품제조가공업345483.514708264655.185763식품제조가공업<NA><NA><NA><NA>상수도전용<NA>1000자가<NA><NA>N0.0<NA><NA><NA>
56식품제조가공업07_22_11_P34100003410000-106-2004-0000620041111<NA>3폐업2폐업20050906<NA><NA><NA><NA>25.23700421대구광역시 중구 동인동1가 0196번지<NA><NA>불스푸드20050321000000I2018-08-31 23:59:59.0식품제조가공업344696.914116264897.878354식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0111자가<NA><NA>N0.0<NA><NA><NA>
67식품제조가공업07_22_11_P34100003410000-106-2004-0000720041119<NA>3폐업2폐업20041120<NA><NA><NA>053 4294238<NA>700180대구광역시 중구 동문동 0020-0004번지<NA><NA>(사)농어촌특산단지전남연합회20041119000000I2018-08-31 23:59:59.0식품제조가공업344148.352033264812.35373식품제조가공업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
78식품제조가공업07_22_11_P34100003410000-106-2004-0000820041202<NA>3폐업2폐업20100621<NA><NA><NA>053 254013230.20700413대구광역시 중구 삼덕동3가 0042번지<NA><NA>교자춘20071113181224I2018-08-31 23:59:59.0식품제조가공업345042.851191263965.608979식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0102자가<NA><NA>N0.0<NA><NA><NA>
89식품제조가공업07_22_11_P34100003410000-106-2005-0000220050623<NA>3폐업2폐업20050706<NA><NA><NA><NA><NA>700320대구광역시 중구 대신동 115-370번지 1층<NA><NA>경북농산20050623000000I2018-08-31 23:59:59.0식품제조가공업<NA><NA>식품제조가공업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
910식품제조가공업07_22_11_P34100003410000-106-2005-0000420050908<NA>3폐업2폐업20070208<NA><NA><NA><NA>67.75700413대구광역시 중구 삼덕동3가 0227-0006번지<NA><NA>(주)승민식품20050908000000I2018-08-31 23:59:59.0식품제조가공업345171.417199263913.270601식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0202자가<NA><NA>N0.0<NA><NA><NA>
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37973798식품제조가공업07_22_11_P34800003480000-106-2021-0000620210430<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.00711852대구광역시 달성군 논공읍 남리 224-110대구광역시 달성군 논공읍 논공로 806-1, 1층42978네츄럴팩트20210430134728I2021-05-02 00:22:57.0기타 식품제조가공업330115.35775248516.530338기타 식품제조가공업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
37983799식품제조가공업07_22_11_P34800003480000-106-2008-0001720080104<NA>1영업/정상1영업<NA><NA><NA><NA>053 627 2557447.00711850대구광역시 달성군 논공읍 삼리리 632-1번지 외 1필지 A동대구광역시 달성군 논공읍 위천2길 6, A동 1층42976정통식품20160127164501I2018-08-31 23:59:59.0식품제조가공업327021.529591252397.401938식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0000자가<NA><NA>N0.0<NA><NA><NA>
37993800식품제조가공업07_22_11_P34800003480000-106-2012-0001020120911<NA>1영업/정상1영업<NA><NA><NA><NA>070 75325543149.47711832대구광역시 달성군 화원읍 명곡리 105번지 2층대구광역시 달성군 화원읍 명곡로 12-11, 2층42960청원푸드20160128102651I2018-08-31 23:59:59.0식품제조가공업335094.531933256378.574073식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
38003801식품제조가공업07_22_11_P34800003480000-106-2013-0000620130808<NA>1영업/정상1영업<NA><NA><NA><NA>053 639 5887159.30711839대구광역시 달성군 화원읍 성산리 536-6번지대구광역시 달성군 화원읍 성천로12길 1142946선미 푸드20160128164651I2018-08-31 23:59:59.0식품제조가공업334521.009928256794.676167식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
38013802식품제조가공업07_22_11_P34800003480000-106-2012-0000520120615<NA>1영업/정상1영업<NA><NA><NA><NA>053 584 4884472.00711821대구광역시 달성군 하빈면 하산리 133-1번지대구광역시 달성군 하빈면 하산4길 7842900훈식품20170825094405I2018-08-31 23:59:59.0식품제조가공업327642.468368267180.710022식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
38023803식품제조가공업07_22_11_P34800003480000-106-2007-0001820071108<NA>1영업/정상1영업<NA><NA><NA><NA>053 6443684204.00711855대구광역시 달성군 논공읍 본리리 29-53번지대구광역시 달성군 논공읍 논공로71길 2742982미성20191011162442U2019-10-13 02:40:00.0식품제조가공업332803.386147250052.269534식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0102임대<NA><NA>N8.0<NA><NA><NA>
38033804식품제조가공업07_22_11_P34800003480000-106-2007-0001920071113<NA>1영업/정상1영업<NA><NA><NA><NA>053 61196111,205.93711892대구광역시 달성군 구지면 내리 839-11번지대구광역시 달성군 구지면 달성2차로 2743011(주)푸름원20160127154201I2018-08-31 23:59:59.0식품제조가공업327415.835763238772.106218식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
38043805식품제조가공업07_22_11_P34800003480000-106-1997-0000819970924<NA>1영업/정상1영업<NA><NA><NA><NA><NA>837.90711823대구광역시 달성군 하빈면 봉촌리 1032-3번지대구광역시 달성군 하빈면 하빈남로 40742905연꽃마을20160127155832I2018-08-31 23:59:59.0식품제조가공업325649.192591263403.704757식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0102<NA><NA><NA>N0.0<NA><NA><NA>
38053806식품제조가공업07_22_11_P34800003480000-106-1997-0001019971006<NA>1영업/정상1영업<NA><NA><NA><NA>053 6153645225.00711842대구광역시 달성군 옥포면 강림리 263번지대구광역시 달성군 옥포면 시저로4길 1642968나진제과20160127155852I2018-08-31 23:59:59.0식품제조가공업329266.735737254748.099287식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0103<NA><NA><NA>N0.0<NA><NA><NA>
38063807식품제조가공업07_22_11_P34800003480000-106-1998-0000119980319<NA>1영업/정상1영업<NA><NA><NA><NA>053 6390167176.00711833대구광역시 달성군 화원읍 설화리 613-2번지대구광역시 달성군 화원읍 모개골길 15-1142957서울종합식품20160127155920I2018-08-31 23:59:59.0식품제조가공업334243.190347256051.77438식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0111임대<NA><NA>N0.0<NA><NA><NA>