Overview

Dataset statistics

Number of variables47
Number of observations3767
Missing cells44352
Missing cells (%)25.1%
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

Description22년06월_6270000_대구광역시_07_22_11_P_식품제조가공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093750&dataSetDetailId=DDI_0000093763&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
남성종사자수 is highly imbalanced (50.0%)Imbalance
여성종사자수 is highly imbalanced (50.0%)Imbalance
급수시설구분명 is highly imbalanced (55.9%)Imbalance
총종업원수 is highly imbalanced (51.2%)Imbalance
다중이용업소여부 is highly imbalanced (99.3%)Imbalance
홈페이지 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 3767 (100.0%) missing valuesMissing
폐업일자 has 1029 (27.3%) missing valuesMissing
휴업시작일자 has 3767 (100.0%) missing valuesMissing
휴업종료일자 has 3767 (100.0%) missing valuesMissing
재개업일자 has 3767 (100.0%) missing valuesMissing
소재지전화 has 1050 (27.9%) missing valuesMissing
소재지면적 has 136 (3.6%) missing valuesMissing
소재지우편번호 has 82 (2.2%) missing valuesMissing
도로명전체주소 has 1370 (36.4%) missing valuesMissing
도로명우편번호 has 1398 (37.1%) missing valuesMissing
좌표정보(X) has 172 (4.6%) missing valuesMissing
좌표정보(Y) has 172 (4.6%) missing valuesMissing
영업장주변구분명 has 3767 (100.0%) missing valuesMissing
등급구분명 has 3767 (100.0%) missing valuesMissing
본사종업원수 has 629 (16.7%) missing valuesMissing
공장사무직종업원수 has 619 (16.4%) missing valuesMissing
공장판매직종업원수 has 639 (17.0%) missing valuesMissing
공장생산직종업원수 has 547 (14.5%) missing valuesMissing
보증액 has 3173 (84.2%) missing valuesMissing
월세액 has 3174 (84.3%) missing valuesMissing
전통업소지정번호 has 3767 (100.0%) missing valuesMissing
전통업소주된음식 has 3767 (100.0%) missing valuesMissing
공장사무직종업원수 is highly skewed (γ1 = 22.23356763)Skewed
공장판매직종업원수 is highly skewed (γ1 = 28.68287534)Skewed
공장생산직종업원수 is highly skewed (γ1 = 34.58833302)Skewed
시설총규모 is highly skewed (γ1 = 28.76342249)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
본사종업원수 has 3015 (80.0%) zerosZeros
공장사무직종업원수 has 2755 (73.1%) zerosZeros
공장판매직종업원수 has 2912 (77.3%) zerosZeros
공장생산직종업원수 has 2299 (61.0%) zerosZeros
보증액 has 530 (14.1%) zerosZeros
월세액 has 529 (14.0%) zerosZeros
시설총규모 has 2990 (79.4%) zerosZeros

Reproduction

Analysis started2023-12-10 18:24:08.391122
Analysis finished2023-12-10 18:24:10.476377
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3767
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1884
Minimum1
Maximum3767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:10.603158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile189.3
Q1942.5
median1884
Q32825.5
95-th percentile3578.7
Maximum3767
Range3766
Interquartile range (IQR)1883

Descriptive statistics

Standard deviation1087.5836
Coefficient of variation (CV)0.57727365
Kurtosis-1.2
Mean1884
Median Absolute Deviation (MAD)942
Skewness0
Sum7097028
Variance1182838
MonotonicityStrictly increasing
2023-12-11T03:24:10.864222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2517 1
 
< 0.1%
2505 1
 
< 0.1%
2506 1
 
< 0.1%
2507 1
 
< 0.1%
2508 1
 
< 0.1%
2509 1
 
< 0.1%
2510 1
 
< 0.1%
2511 1
 
< 0.1%
2512 1
 
< 0.1%
Other values (3757) 3757
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 (%)
3767 1
< 0.1%
3766 1
< 0.1%
3765 1
< 0.1%
3764 1
< 0.1%
3763 1
< 0.1%
3762 1
< 0.1%
3761 1
< 0.1%
3760 1
< 0.1%
3759 1
< 0.1%
3758 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
식품제조가공업
3767 

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 3767
100.0%

Length

2023-12-11T03:24:11.094668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:11.250665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 3767
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
07_22_11_P
3767 

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 3767
100.0%

Length

2023-12-11T03:24:11.424877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:11.567751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_11_p 3767
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449880.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:11.687086image/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 deviation20903.937
Coefficient of variation (CV)0.0060593219
Kurtosis-0.9564339
Mean3449880.5
Median Absolute Deviation (MAD)20000
Skewness-0.3014126
Sum1.29957 × 1010
Variance4.3697457 × 108
MonotonicityIncreasing
2023-12-11T03:24:11.884624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 951
25.2%
3470000 646
17.1%
3480000 470
12.5%
3420000 436
11.6%
3460000 432
11.5%
3430000 370
 
9.8%
3440000 239
 
6.3%
3410000 223
 
5.9%
ValueCountFrequency (%)
3410000 223
 
5.9%
3420000 436
11.6%
3430000 370
 
9.8%
3440000 239
 
6.3%
3450000 951
25.2%
3460000 432
11.5%
3470000 646
17.1%
3480000 470
12.5%
ValueCountFrequency (%)
3480000 470
12.5%
3470000 646
17.1%
3460000 432
11.5%
3450000 951
25.2%
3440000 239
 
6.3%
3430000 370
 
9.8%
3420000 436
11.6%
3410000 223
 
5.9%

관리번호
Text

UNIQUE 

Distinct3767
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
2023-12-11T03:24:12.216603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters82874
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

Unique3767 ?
Unique (%)100.0%

Sample

1st row3410000-106-2004-00002
2nd row3410000-106-2004-00003
3rd row3410000-106-2004-00004
4th row3410000-106-2004-00005
5th row3410000-106-2004-00006
ValueCountFrequency (%)
3410000-106-2004-00002 1
 
< 0.1%
3460000-106-2007-00020 1
 
< 0.1%
3460000-106-2013-00011 1
 
< 0.1%
3460000-106-2011-00004 1
 
< 0.1%
3460000-106-2011-00005 1
 
< 0.1%
3460000-106-2011-00006 1
 
< 0.1%
3460000-106-2010-00007 1
 
< 0.1%
3460000-106-2010-00014 1
 
< 0.1%
3460000-106-2010-00015 1
 
< 0.1%
3460000-106-2011-00001 1
 
< 0.1%
Other values (3757) 3757
99.7%
2023-12-11T03:24:12.765169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37781
45.6%
- 11301
 
13.6%
1 7949
 
9.6%
2 5571
 
6.7%
3 5127
 
6.2%
6 4938
 
6.0%
4 4830
 
5.8%
5 1698
 
2.0%
7 1360
 
1.6%
9 1174
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71573
86.4%
Dash Punctuation 11301
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37781
52.8%
1 7949
 
11.1%
2 5571
 
7.8%
3 5127
 
7.2%
6 4938
 
6.9%
4 4830
 
6.7%
5 1698
 
2.4%
7 1360
 
1.9%
9 1174
 
1.6%
8 1145
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 11301
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 82874
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37781
45.6%
- 11301
 
13.6%
1 7949
 
9.6%
2 5571
 
6.7%
3 5127
 
6.2%
6 4938
 
6.0%
4 4830
 
5.8%
5 1698
 
2.0%
7 1360
 
1.6%
9 1174
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82874
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37781
45.6%
- 11301
 
13.6%
1 7949
 
9.6%
2 5571
 
6.7%
3 5127
 
6.2%
6 4938
 
6.0%
4 4830
 
5.8%
5 1698
 
2.0%
7 1360
 
1.6%
9 1174
 
1.4%

인허가일자
Real number (ℝ)

Distinct2675
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20088906
Minimum19681218
Maximum20220627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:13.082548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19681218
5-th percentile19980345
Q120031027
median20091012
Q320150306
95-th percentile20200716
Maximum20220627
Range539409
Interquartile range (IQR)119279

Descriptive statistics

Standard deviation74932.722
Coefficient of variation (CV)0.0037300549
Kurtosis1.4229551
Mean20088906
Median Absolute Deviation (MAD)59507
Skewness-0.62685952
Sum7.5674908 × 1010
Variance5.6149128 × 109
MonotonicityNot monotonic
2023-12-11T03:24:13.444383image/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%
20110520 6
 
0.2%
19930320 6
 
0.2%
20180706 5
 
0.1%
20130725 5
 
0.1%
20160523 5
 
0.1%
20071108 5
 
0.1%
20110718 4
 
0.1%
Other values (2665) 3677
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 (%)
20220627 1
 
< 0.1%
20220620 2
0.1%
20220616 1
 
< 0.1%
20220613 2
0.1%
20220608 1
 
< 0.1%
20220526 3
0.1%
20220518 2
0.1%
20220513 1
 
< 0.1%
20220512 1
 
< 0.1%
20220511 2
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3767
Missing (%)100.0%
Memory size33.2 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
3
2738 
1
1029 

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 2738
72.7%
1 1029
 
27.3%

Length

2023-12-11T03:24:13.745461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:13.958137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2738
72.7%
1 1029
 
27.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
폐업
2738 
영업/정상
1029 

Length

Max length5
Median length2
Mean length2.819485
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2738
72.7%
영업/정상 1029
 
27.3%

Length

2023-12-11T03:24:14.186006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:14.399095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2738
72.7%
영업/정상 1029
 
27.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
2
2738 
1
1029 

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 2738
72.7%
1 1029
 
27.3%

Length

2023-12-11T03:24:14.645435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:14.847987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2738
72.7%
1 1029
 
27.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
폐업
2738 
영업
1029 

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 2738
72.7%
영업 1029
 
27.3%

Length

2023-12-11T03:24:15.089053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:15.287277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2738
72.7%
영업 1029
 
27.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct2029
Distinct (%)74.1%
Missing1029
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean20117070
Minimum20000424
Maximum20220629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:15.519624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000424
5-th percentile20030305
Q120061228
median20120367
Q320170222
95-th percentile20210343
Maximum20220629
Range220205
Interquartile range (IQR)108993.5

Descriptive statistics

Standard deviation58288.139
Coefficient of variation (CV)0.0028974468
Kurtosis-1.1878762
Mean20117070
Median Absolute Deviation (MAD)50061
Skewness-0.014408984
Sum5.5080538 × 1010
Variance3.3975072 × 109
MonotonicityNot monotonic
2023-12-11T03:24:15.859103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181226 6
 
0.2%
20101231 6
 
0.2%
20030711 5
 
0.1%
20181127 5
 
0.1%
20050624 4
 
0.1%
20201229 4
 
0.1%
20120206 4
 
0.1%
20180223 4
 
0.1%
20161223 4
 
0.1%
20071108 4
 
0.1%
Other values (2019) 2692
71.5%
(Missing) 1029
 
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 (%)
20220629 1
< 0.1%
20220628 1
< 0.1%
20220624 1
< 0.1%
20220615 1
< 0.1%
20220607 2
0.1%
20220527 1
< 0.1%
20220518 1
< 0.1%
20220428 1
< 0.1%
20220425 1
< 0.1%
20220421 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3767
Missing (%)100.0%
Memory size33.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3767
Missing (%)100.0%
Memory size33.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3767
Missing (%)100.0%
Memory size33.2 KiB

소재지전화
Text

MISSING 

Distinct2517
Distinct (%)92.6%
Missing1050
Missing (%)27.9%
Memory size29.6 KiB
2023-12-11T03:24:16.539523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.84873
Min length3

Characters and Unicode

Total characters29476
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

Unique2329 ?
Unique (%)85.7%

Sample

1st row053 4244979
2nd row053 2564337
3rd row053 4240540
4th row053 4223318
5th row053 4294238
ValueCountFrequency (%)
053 2003
34.9%
070 69
 
1.2%
311 21
 
0.4%
313 15
 
0.3%
621 13
 
0.2%
314 13
 
0.2%
983 13
 
0.2%
767 12
 
0.2%
611 12
 
0.2%
615 11
 
0.2%
Other values (2673) 3555
62.0%
2023-12-11T03:24:17.423979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4869
16.5%
3 4302
14.6%
0 4221
14.3%
3101
10.5%
2 2104
7.1%
6 2082
7.1%
1 2041
6.9%
7 1871
 
6.3%
8 1770
 
6.0%
4 1632
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26375
89.5%
Space Separator 3101
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4869
18.5%
3 4302
16.3%
0 4221
16.0%
2 2104
8.0%
6 2082
7.9%
1 2041
7.7%
7 1871
 
7.1%
8 1770
 
6.7%
4 1632
 
6.2%
9 1483
 
5.6%
Space Separator
ValueCountFrequency (%)
3101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29476
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4869
16.5%
3 4302
14.6%
0 4221
14.3%
3101
10.5%
2 2104
7.1%
6 2082
7.1%
1 2041
6.9%
7 1871
 
6.3%
8 1770
 
6.0%
4 1632
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4869
16.5%
3 4302
14.6%
0 4221
14.3%
3101
10.5%
2 2104
7.1%
6 2082
7.1%
1 2041
6.9%
7 1871
 
6.3%
8 1770
 
6.0%
4 1632
 
5.5%

소재지면적
Text

MISSING 

Distinct2623
Distinct (%)72.2%
Missing136
Missing (%)3.6%
Memory size29.6 KiB
2023-12-11T03:24:18.143402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.3770311
Min length3

Characters and Unicode

Total characters19524
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

Unique2139 ?
Unique (%)58.9%

Sample

1st row14.70
2nd row41.85
3rd row120.60
4th row34.52
5th row25.23
ValueCountFrequency (%)
66.00 30
 
0.8%
20.00 25
 
0.7%
33.00 25
 
0.7%
00 17
 
0.5%
40.00 17
 
0.5%
30.00 14
 
0.4%
26.40 14
 
0.4%
38.00 12
 
0.3%
15.00 12
 
0.3%
132.00 12
 
0.3%
Other values (2613) 3453
95.1%
2023-12-11T03:24:19.117034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3631
18.6%
0 3381
17.3%
1 1781
9.1%
2 1730
8.9%
3 1439
 
7.4%
4 1434
 
7.3%
5 1375
 
7.0%
6 1356
 
6.9%
8 1174
 
6.0%
7 1107
 
5.7%
Other values (2) 1116
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15821
81.0%
Other Punctuation 3703
 
19.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3381
21.4%
1 1781
11.3%
2 1730
10.9%
3 1439
9.1%
4 1434
9.1%
5 1375
8.7%
6 1356
8.6%
8 1174
 
7.4%
7 1107
 
7.0%
9 1044
 
6.6%
Other Punctuation
ValueCountFrequency (%)
. 3631
98.1%
, 72
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Common 19524
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3631
18.6%
0 3381
17.3%
1 1781
9.1%
2 1730
8.9%
3 1439
 
7.4%
4 1434
 
7.3%
5 1375
 
7.0%
6 1356
 
6.9%
8 1174
 
6.0%
7 1107
 
5.7%
Other values (2) 1116
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19524
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3631
18.6%
0 3381
17.3%
1 1781
9.1%
2 1730
8.9%
3 1439
 
7.4%
4 1434
 
7.3%
5 1375
 
7.0%
6 1356
 
6.9%
8 1174
 
6.0%
7 1107
 
5.7%
Other values (2) 1116
 
5.7%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct551
Distinct (%)15.0%
Missing82
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean704584.68
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:19.433439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700836.2
Q1702806
median703833
Q3705823
95-th percentile711850
Maximum711893
Range11883
Interquartile range (IQR)3017

Descriptive statistics

Standard deviation3085.3586
Coefficient of variation (CV)0.0043789749
Kurtosis0.77251353
Mean704584.68
Median Absolute Deviation (MAD)1760
Skewness1.1841278
Sum2.5963945 × 109
Variance9519437.6
MonotonicityNot monotonic
2023-12-11T03:24:19.817846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702825 89
 
2.4%
702061 80
 
2.1%
703830 57
 
1.5%
703833 48
 
1.3%
702816 45
 
1.2%
704080 43
 
1.1%
702903 36
 
1.0%
704900 36
 
1.0%
701140 34
 
0.9%
711851 34
 
0.9%
Other values (541) 3183
84.5%
(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

Distinct3502
Distinct (%)93.6%
Missing26
Missing (%)0.7%
Memory size29.6 KiB
2023-12-11T03:24:20.464832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length49
Mean length23.874365
Min length15

Characters and Unicode

Total characters89314
Distinct characters296
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

Unique3296 ?
Unique (%)88.1%

Sample

1st row대구광역시 중구 태평로1가 0001-0186번지
2nd row대구광역시 중구 남산동 2466-0001번지 보성황실아파트 116동 105호
3rd row대구광역시 중구 봉산동 0165-0007번지
4th row대구광역시 중구 동인동3가 0302-0002번지
5th row대구광역시 중구 동인동1가 0196번지
ValueCountFrequency (%)
대구광역시 3741
22.3%
북구 944
 
5.6%
달서구 643
 
3.8%
달성군 466
 
2.8%
동구 436
 
2.6%
수성구 420
 
2.5%
서구 371
 
2.2%
남구 238
 
1.4%
중구 223
 
1.3%
지상1층 201
 
1.2%
Other values (3889) 9113
54.3%
2023-12-11T03:24:21.803020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16758
18.8%
구 7119
 
8.0%
1 4438
 
5.0%
대 4069
 
4.6%
동 3985
 
4.5%
시 3795
 
4.2%
광 3746
 
4.2%
역 3746
 
4.2%
지 3524
 
3.9%
- 3119
 
3.5%
Other values (286) 35015
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49905
55.9%
Decimal Number 18579
 
20.8%
Space Separator 16758
 
18.8%
Dash Punctuation 3119
 
3.5%
Close Punctuation 347
 
0.4%
Open Punctuation 347
 
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 7119
14.3%
대 4069
 
8.2%
동 3985
 
8.0%
시 3795
 
7.6%
광 3746
 
7.5%
역 3746
 
7.5%
지 3524
 
7.1%
번 3010
 
6.0%
성 1186
 
2.4%
달 1177
 
2.4%
Other values (257) 14548
29.2%
Decimal Number
ValueCountFrequency (%)
1 4438
23.9%
2 2337
12.6%
0 2042
11.0%
3 1909
10.3%
4 1562
 
8.4%
5 1441
 
7.8%
6 1346
 
7.2%
7 1253
 
6.7%
8 1148
 
6.2%
9 1103
 
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%
P 1
 
0.9%
J 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 (%)
16758
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 347
100.0%
Open Punctuation
ValueCountFrequency (%)
( 347
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49905
55.9%
Common 39289
44.0%
Latin 120
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7119
14.3%
대 4069
 
8.2%
동 3985
 
8.0%
시 3795
 
7.6%
광 3746
 
7.5%
역 3746
 
7.5%
지 3524
 
7.1%
번 3010
 
6.0%
성 1186
 
2.4%
달 1177
 
2.4%
Other values (257) 14548
29.2%
Common
ValueCountFrequency (%)
16758
42.7%
1 4438
 
11.3%
- 3119
 
7.9%
2 2337
 
5.9%
0 2042
 
5.2%
3 1909
 
4.9%
4 1562
 
4.0%
5 1441
 
3.7%
6 1346
 
3.4%
7 1253
 
3.2%
Other values (9) 3084
 
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%
P 1
 
0.8%
J 1
 
0.8%
c 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49905
55.9%
ASCII 39409
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16758
42.5%
1 4438
 
11.3%
- 3119
 
7.9%
2 2337
 
5.9%
0 2042
 
5.2%
3 1909
 
4.8%
4 1562
 
4.0%
5 1441
 
3.7%
6 1346
 
3.4%
7 1253
 
3.2%
Other values (19) 3204
 
8.1%
Hangul
ValueCountFrequency (%)
구 7119
14.3%
대 4069
 
8.2%
동 3985
 
8.0%
시 3795
 
7.6%
광 3746
 
7.5%
역 3746
 
7.5%
지 3524
 
7.1%
번 3010
 
6.0%
성 1186
 
2.4%
달 1177
 
2.4%
Other values (257) 14548
29.2%

도로명전체주소
Text

MISSING 

Distinct2288
Distinct (%)95.5%
Missing1370
Missing (%)36.4%
Memory size29.6 KiB
2023-12-11T03:24:22.506281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length54
Mean length27.774301
Min length20

Characters and Unicode

Total characters66575
Distinct characters320
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

Unique2189 ?
Unique (%)91.3%

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 2397
 
17.9%
북구 614
 
4.6%
1층 547
 
4.1%
달서구 353
 
2.6%
달성군 312
 
2.3%
동구 295
 
2.2%
수성구 280
 
2.1%
서구 236
 
1.8%
남구 155
 
1.2%
중구 152
 
1.1%
Other values (2616) 8056
60.1%
2023-12-11T03:24:23.452571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11001
 
16.5%
구 4713
 
7.1%
1 2968
 
4.5%
대 2898
 
4.4%
동 2894
 
4.3%
시 2497
 
3.8%
역 2417
 
3.6%
광 2398
 
3.6%
) 2204
 
3.3%
( 2204
 
3.3%
Other values (310) 30381
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38131
57.3%
Space Separator 11001
 
16.5%
Decimal Number 10801
 
16.2%
Close Punctuation 2204
 
3.3%
Open Punctuation 2204
 
3.3%
Other Punctuation 1307
 
2.0%
Dash Punctuation 759
 
1.1%
Uppercase Letter 143
 
0.2%
Math Symbol 23
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4713
 
12.4%
대 2898
 
7.6%
동 2894
 
7.6%
시 2497
 
6.5%
역 2417
 
6.3%
광 2398
 
6.3%
로 2193
 
5.8%
길 1673
 
4.4%
성 1018
 
2.7%
층 987
 
2.6%
Other values (278) 14443
37.9%
Uppercase Letter
ValueCountFrequency (%)
B 61
42.7%
A 53
37.1%
C 11
 
7.7%
T 4
 
2.8%
E 3
 
2.1%
D 3
 
2.1%
J 2
 
1.4%
P 2
 
1.4%
G 1
 
0.7%
M 1
 
0.7%
Other values (2) 2
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 2968
27.5%
2 1618
15.0%
3 1270
11.8%
4 914
 
8.5%
5 861
 
8.0%
6 770
 
7.1%
0 689
 
6.4%
7 663
 
6.1%
8 567
 
5.2%
9 481
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 1299
99.4%
. 4
 
0.3%
· 4
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
11001
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 759
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38131
57.3%
Common 28299
42.5%
Latin 145
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4713
 
12.4%
대 2898
 
7.6%
동 2894
 
7.6%
시 2497
 
6.5%
역 2417
 
6.3%
광 2398
 
6.3%
로 2193
 
5.8%
길 1673
 
4.4%
성 1018
 
2.7%
층 987
 
2.6%
Other values (278) 14443
37.9%
Common
ValueCountFrequency (%)
11001
38.9%
1 2968
 
10.5%
) 2204
 
7.8%
( 2204
 
7.8%
2 1618
 
5.7%
, 1299
 
4.6%
3 1270
 
4.5%
4 914
 
3.2%
5 861
 
3.0%
6 770
 
2.7%
Other values (8) 3190
 
11.3%
Latin
ValueCountFrequency (%)
B 61
42.1%
A 53
36.6%
C 11
 
7.6%
T 4
 
2.8%
E 3
 
2.1%
D 3
 
2.1%
J 2
 
1.4%
P 2
 
1.4%
G 1
 
0.7%
M 1
 
0.7%
Other values (4) 4
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38131
57.3%
ASCII 28440
42.7%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11001
38.7%
1 2968
 
10.4%
) 2204
 
7.7%
( 2204
 
7.7%
2 1618
 
5.7%
, 1299
 
4.6%
3 1270
 
4.5%
4 914
 
3.2%
5 861
 
3.0%
6 770
 
2.7%
Other values (21) 3331
 
11.7%
Hangul
ValueCountFrequency (%)
구 4713
 
12.4%
대 2898
 
7.6%
동 2894
 
7.6%
시 2497
 
6.5%
역 2417
 
6.3%
광 2398
 
6.3%
로 2193
 
5.8%
길 1673
 
4.4%
성 1018
 
2.7%
층 987
 
2.6%
Other values (278) 14443
37.9%
None
ValueCountFrequency (%)
· 4
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct817
Distinct (%)34.5%
Missing1398
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean42014.696
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:23.708725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41109
Q141489
median41930
Q342662
95-th percentile42972
Maximum43024
Range2024
Interquartile range (IQR)1173

Descriptive statistics

Standard deviation616.28174
Coefficient of variation (CV)0.014668242
Kurtosis-1.2969081
Mean42014.696
Median Absolute Deviation (MAD)489
Skewness0.17193545
Sum99532814
Variance379803.19
MonotonicityNot monotonic
2023-12-11T03:24:23.938572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41485 44
 
1.2%
41582 40
 
1.1%
41490 37
 
1.0%
41557 24
 
0.6%
41488 23
 
0.6%
41755 19
 
0.5%
42970 18
 
0.5%
42703 18
 
0.5%
42975 18
 
0.5%
41123 16
 
0.4%
Other values (807) 2112
56.1%
(Missing) 1398
37.1%
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

Distinct3182
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
2023-12-11T03:24:24.348927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length5.8948766
Min length1

Characters and Unicode

Total characters22206
Distinct characters764
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

Unique2771 ?
Unique (%)73.6%

Sample

1st row동북상회
2nd row황실떡집
3rd row에프엔에스
4th row이유통
5th row불스푸드
ValueCountFrequency (%)
주식회사 97
 
2.3%
농업회사법인 15
 
0.4%
커피 14
 
0.3%
주 14
 
0.3%
우리식품 14
 
0.3%
푸드 12
 
0.3%
제일식품 11
 
0.3%
coffee 11
 
0.3%
현대식품 9
 
0.2%
food 9
 
0.2%
Other values (3362) 4013
95.1%
2023-12-11T03:24:25.107040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 1249
 
5.6%
품 1092
 
4.9%
주 635
 
2.9%
) 599
 
2.7%
( 591
 
2.7%
드 470
 
2.1%
454
 
2.0%
푸 441
 
2.0%
이 404
 
1.8%
스 359
 
1.6%
Other values (754) 15912
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19536
88.0%
Close Punctuation 599
 
2.7%
Open Punctuation 591
 
2.7%
Uppercase Letter 482
 
2.2%
Space Separator 454
 
2.0%
Lowercase Letter 422
 
1.9%
Decimal Number 61
 
0.3%
Other Punctuation 58
 
0.3%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 1249
 
6.4%
품 1092
 
5.6%
주 635
 
3.3%
드 470
 
2.4%
푸 441
 
2.3%
이 404
 
2.1%
스 359
 
1.8%
사 325
 
1.7%
산 307
 
1.6%
리 297
 
1.5%
Other values (687) 13957
71.4%
Uppercase Letter
ValueCountFrequency (%)
F 48
 
10.0%
O 43
 
8.9%
C 38
 
7.9%
S 36
 
7.5%
B 33
 
6.8%
N 26
 
5.4%
T 25
 
5.2%
D 24
 
5.0%
M 23
 
4.8%
E 21
 
4.4%
Other values (14) 165
34.2%
Lowercase Letter
ValueCountFrequency (%)
e 78
18.5%
o 62
14.7%
f 36
8.5%
n 33
 
7.8%
a 31
 
7.3%
s 22
 
5.2%
c 22
 
5.2%
r 20
 
4.7%
t 18
 
4.3%
d 15
 
3.6%
Other values (13) 85
20.1%
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%
0 3
 
4.9%
9 3
 
4.9%
8 3
 
4.9%
7 2
 
3.3%
Other Punctuation
ValueCountFrequency (%)
& 35
60.3%
. 15
25.9%
, 3
 
5.2%
' 3
 
5.2%
· 2
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 599
100.0%
Open Punctuation
ValueCountFrequency (%)
( 591
100.0%
Space Separator
ValueCountFrequency (%)
454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19531
88.0%
Common 1766
 
8.0%
Latin 904
 
4.1%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 1249
 
6.4%
품 1092
 
5.6%
주 635
 
3.3%
드 470
 
2.4%
푸 441
 
2.3%
이 404
 
2.1%
스 359
 
1.8%
사 325
 
1.7%
산 307
 
1.6%
리 297
 
1.5%
Other values (682) 13952
71.4%
Latin
ValueCountFrequency (%)
e 78
 
8.6%
o 62
 
6.9%
F 48
 
5.3%
O 43
 
4.8%
C 38
 
4.2%
S 36
 
4.0%
f 36
 
4.0%
B 33
 
3.7%
n 33
 
3.7%
a 31
 
3.4%
Other values (37) 466
51.5%
Common
ValueCountFrequency (%)
) 599
33.9%
( 591
33.5%
454
25.7%
& 35
 
2.0%
. 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) 26
 
1.5%
Han
ValueCountFrequency (%)
本 1
20.0%
嘉 1
20.0%
禮 1
20.0%
蓮 1
20.0%
手 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19531
88.0%
ASCII 2668
 
12.0%
CJK 5
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 1249
 
6.4%
품 1092
 
5.6%
주 635
 
3.3%
드 470
 
2.4%
푸 441
 
2.3%
이 404
 
2.1%
스 359
 
1.8%
사 325
 
1.7%
산 307
 
1.6%
리 297
 
1.5%
Other values (682) 13952
71.4%
ASCII
ValueCountFrequency (%)
) 599
22.5%
( 591
22.2%
454
17.0%
e 78
 
2.9%
o 62
 
2.3%
F 48
 
1.8%
O 43
 
1.6%
C 38
 
1.4%
S 36
 
1.3%
f 36
 
1.3%
Other values (56) 683
25.6%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
本 1
20.0%
嘉 1
20.0%
禮 1
20.0%
蓮 1
20.0%
手 1
20.0%

최종수정시점
Real number (ℝ)

Distinct3361
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0132001 × 1013
Minimum2.001082 × 1013
Maximum2.022063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:25.320482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001082 × 1013
5-th percentile2.0020709 × 1013
Q12.0070917 × 1013
median2.0150707 × 1013
Q32.0191011 × 1013
95-th percentile2.0220128 × 1013
Maximum2.022063 × 1013
Range2.0981021 × 1011
Interquartile range (IQR)1.2009347 × 1011

Descriptive statistics

Standard deviation6.7361094 × 1010
Coefficient of variation (CV)0.0033459711
Kurtosis-1.3156787
Mean2.0132001 × 1013
Median Absolute Deviation (MAD)5.0397981 × 1010
Skewness-0.332308
Sum7.5837248 × 1016
Variance4.5375169 × 1021
MonotonicityNot monotonic
2023-12-11T03:24:25.553831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020205000000 55
 
1.5%
20041011000000 23
 
0.6%
20020926000000 21
 
0.6%
20010821000000 18
 
0.5%
20030407000000 18
 
0.5%
20020508000000 14
 
0.4%
20020509000000 13
 
0.3%
20020507000000 13
 
0.3%
20021108000000 12
 
0.3%
20031027000000 12
 
0.3%
Other values (3351) 3568
94.7%
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 (%)
20220630210848 1
< 0.1%
20220630130234 1
< 0.1%
20220629170238 1
< 0.1%
20220629110218 1
< 0.1%
20220628170655 1
< 0.1%
20220628164802 1
< 0.1%
20220627163025 1
< 0.1%
20220627153235 1
< 0.1%
20220624144250 1
< 0.1%
20220623165515 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
I
2689 
U
1078 

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 2689
71.4%
U 1078
28.6%

Length

2023-12-11T03:24:25.739651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:25.913573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2689
71.4%
u 1078
28.6%

데이터갱신일자
Date

Distinct741
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-02 02:40:00
2023-12-11T03:24:26.107574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:24:26.372037image/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 size29.6 KiB
식품제조가공업
2794 
기타 식품제조가공업
946 
도시락제조업
 
27

Length

Max length10
Median length7
Mean length7.7462171
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 2794
74.2%
기타 식품제조가공업 946
 
25.1%
도시락제조업 27
 
0.7%

Length

2023-12-11T03:24:26.560590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:26.752000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 3740
79.4%
기타 946
 
20.1%
도시락제조업 27
 
0.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3077
Distinct (%)85.6%
Missing172
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean341832.35
Minimum323038.14
Maximum356965.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:26.928682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum323038.14
5-th percentile331547.47
Q1338735.46
median341551.22
Q3345487.76
95-th percentile352820.61
Maximum356965.56
Range33927.418
Interquartile range (IQR)6752.2987

Descriptive statistics

Standard deviation5840.586
Coefficient of variation (CV)0.017086112
Kurtosis0.10357843
Mean341832.35
Median Absolute Deviation (MAD)3359.5131
Skewness-0.029500577
Sum1.2288873 × 109
Variance34112445
MonotonicityNot monotonic
2023-12-11T03:24:27.155285image/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%
348434.155718 5
 
0.1%
346004.036082 5
 
0.1%
345484.223256 4
 
0.1%
338678.797273 4
 
0.1%
332327.523657 4
 
0.1%
332331.72441 4
 
0.1%
344858.271847 4
 
0.1%
326739.522357 4
 
0.1%
Other values (3067) 3527
93.6%
(Missing) 172
 
4.6%
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%
356370.038499 1
 
< 0.1%
356353.91544 1
 
< 0.1%
356349.757069 3
0.1%
356345.316761 1
 
< 0.1%
356335.999166 1
 
< 0.1%
356331.110923 1
 
< 0.1%
356328.871819 1
 
< 0.1%
356326.419641 2
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3076
Distinct (%)85.6%
Missing172
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean263381.54
Minimum236164.39
Maximum278073.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:27.401768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236164.39
5-th percentile253718.85
Q1261092.5
median263990.91
Q3266468.3
95-th percentile271935.2
Maximum278073.62
Range41909.231
Interquartile range (IQR)5375.803

Descriptive statistics

Standard deviation5400.9329
Coefficient of variation (CV)0.020506118
Kurtosis3.2774112
Mean263381.54
Median Absolute Deviation (MAD)2705.934
Skewness-1.1048126
Sum9.4685662 × 108
Variance29170077
MonotonicityNot monotonic
2023-12-11T03:24:27.601216image/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%
269131.73002 5
 
0.1%
264017.165939 5
 
0.1%
261957.795169 4
 
0.1%
259655.384838 4
 
0.1%
265012.3332 4
 
0.1%
267937.999113 4
 
0.1%
274125.937518 4
 
0.1%
260540.364298 4
 
0.1%
Other values (3066) 3527
93.6%
(Missing) 172
 
4.6%
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 size29.6 KiB
식품제조가공업
2794 
기타 식품제조가공업
946 
도시락제조업
 
27

Length

Max length10
Median length7
Mean length7.7462171
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 2794
74.2%
기타 식품제조가공업 946
 
25.1%
도시락제조업 27
 
0.7%

Length

2023-12-11T03:24:27.814901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:28.028613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 3740
79.4%
기타 946
 
20.1%
도시락제조업 27
 
0.6%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
<NA>
3353 
0
414 

Length

Max length4
Median length4
Mean length3.6702947
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3353
89.0%
0 414
 
11.0%

Length

2023-12-11T03:24:28.213898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:28.397389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3353
89.0%
0 414
 
11.0%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
<NA>
3353 
0
414 

Length

Max length4
Median length4
Mean length3.6702947
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3353
89.0%
0 414
 
11.0%

Length

2023-12-11T03:24:28.599068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:28.786690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3353
89.0%
0 414
 
11.0%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3767
Missing (%)100.0%
Memory size33.2 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3767
Missing (%)100.0%
Memory size33.2 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
상수도전용
2201 
<NA>
1546 
지하수전용
 
16
간이상수도
 
3
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length17
Median length5
Mean length4.5927794
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 2201
58.4%
<NA> 1546
41.0%
지하수전용 16
 
0.4%
간이상수도 3
 
0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

Length

2023-12-11T03:24:29.014652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:29.214353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 2201
58.4%
na 1546
41.0%
지하수전용 16
 
0.4%
간이상수도 3
 
0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

총종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
<NA>
3367 
0
400 

Length

Max length4
Median length4
Mean length3.6814441
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> 3367
89.4%
0 400
 
10.6%

Length

2023-12-11T03:24:29.467823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:29.654450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3367
89.4%
0 400
 
10.6%

본사종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.3%
Missing629
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean0.068514978
Minimum0
Maximum12
Zeros3015
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:29.833549image/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 deviation0.45388883
Coefficient of variation (CV)6.6246658
Kurtosis212.31993
Mean0.068514978
Median Absolute Deviation (MAD)0
Skewness11.963786
Sum215
Variance0.20601507
MonotonicityNot monotonic
2023-12-11T03:24:30.036035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 3015
80.0%
1 84
 
2.2%
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) 629
 
16.7%
ValueCountFrequency (%)
0 3015
80.0%
1 84
 
2.2%
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 84
 
2.2%
0 3015
80.0%

공장사무직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11
Distinct (%)0.3%
Missing619
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean0.20457433
Minimum0
Maximum40
Zeros2755
Zeros (%)73.1%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:30.239227image/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 deviation1.0243701
Coefficient of variation (CV)5.0073244
Kurtosis762.27996
Mean0.20457433
Median Absolute Deviation (MAD)0
Skewness22.233568
Sum644
Variance1.049334
MonotonicityNot monotonic
2023-12-11T03:24:30.451139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 2755
73.1%
1 293
 
7.8%
2 58
 
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) 619
 
16.4%
ValueCountFrequency (%)
0 2755
73.1%
1 293
 
7.8%
2 58
 
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 58
 
1.5%
1 293
7.8%

공장판매직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct9
Distinct (%)0.3%
Missing639
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean0.10358056
Minimum0
Maximum30
Zeros2912
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:30.673891image/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 deviation0.68574034
Coefficient of variation (CV)6.6203574
Kurtosis1175.6113
Mean0.10358056
Median Absolute Deviation (MAD)0
Skewness28.682875
Sum324
Variance0.47023981
MonotonicityNot monotonic
2023-12-11T03:24:30.885031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 2912
77.3%
1 166
 
4.4%
2 36
 
1.0%
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) 639
 
17.0%
ValueCountFrequency (%)
0 2912
77.3%
1 166
 
4.4%
2 36
 
1.0%
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
 
1.0%
1 166
 
4.4%
0 2912
77.3%

공장생산직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct27
Distinct (%)0.8%
Missing547
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean0.82484472
Minimum0
Maximum220
Zeros2299
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:31.126934image/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 deviation4.6811743
Coefficient of variation (CV)5.6752189
Kurtosis1529.771
Mean0.82484472
Median Absolute Deviation (MAD)0
Skewness34.588333
Sum2656
Variance21.913393
MonotonicityNot monotonic
2023-12-11T03:24:31.332042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2299
61.0%
1 456
 
12.1%
2 202
 
5.4%
3 107
 
2.8%
4 48
 
1.3%
5 30
 
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) 547
 
14.5%
ValueCountFrequency (%)
0 2299
61.0%
1 456
 
12.1%
2 202
 
5.4%
3 107
 
2.8%
4 48
 
1.3%
5 30
 
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 size29.6 KiB
<NA>
1803 
임대
1142 
자가
822 

Length

Max length4
Median length2
Mean length2.9572604
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1803
47.9%
임대 1142
30.3%
자가 822
21.8%

Length

2023-12-11T03:24:31.576439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:31.803548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1803
47.9%
임대 1142
30.3%
자가 822
21.8%

보증액
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)3.0%
Missing3173
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean1043605.7
Minimum0
Maximum50000000
Zeros530
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:32.025658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10000000
Maximum50000000
Range50000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4426593.9
Coefficient of variation (CV)4.2416344
Kurtosis66.091084
Mean1043605.7
Median Absolute Deviation (MAD)0
Skewness7.2746893
Sum6.199018 × 108
Variance1.9594733 × 1013
MonotonicityNot monotonic
2023-12-11T03:24:32.805559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 530
 
14.1%
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) 3173
84.2%
ValueCountFrequency (%)
0 530
14.1%
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 (%)4.4%
Missing3174
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean58583.794
Minimum0
Maximum2200000
Zeros529
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:33.047351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile500000
Maximum2200000
Range2200000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation216695.03
Coefficient of variation (CV)3.6988903
Kurtosis38.36541
Mean58583.794
Median Absolute Deviation (MAD)0
Skewness5.4740714
Sum34740190
Variance4.6956736 × 1010
MonotonicityNot monotonic
2023-12-11T03:24:33.282542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 529
 
14.0%
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) 3174
84.3%
ValueCountFrequency (%)
0 529
14.0%
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
3765 
True
 
2
ValueCountFrequency (%)
False 3765
99.9%
True 2
 
0.1%
2023-12-11T03:24:33.485905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct541
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.272997
Minimum0
Maximum4673.38
Zeros2990
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size33.2 KiB
2023-12-11T03:24:33.696265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile37.916
Maximum4673.38
Range4673.38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation125.09226
Coefficient of variation (CV)10.192479
Kurtosis974.15095
Mean12.272997
Median Absolute Deviation (MAD)0
Skewness28.763422
Sum46232.38
Variance15648.074
MonotonicityNot monotonic
2023-12-11T03:24:34.130683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2990
79.4%
3.0 23
 
0.6%
6.0 16
 
0.4%
1.0 15
 
0.4%
2.0 12
 
0.3%
4.0 12
 
0.3%
3.3 10
 
0.3%
1.2 8
 
0.2%
4.5 8
 
0.2%
9.0 7
 
0.2%
Other values (531) 666
 
17.7%
ValueCountFrequency (%)
0.0 2990
79.4%
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%
1520.96 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%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3767
Missing (%)100.0%
Memory size33.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3767
Missing (%)100.0%
Memory size33.2 KiB

홈페이지
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
<NA>
3765 
4
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.9984072
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> 3765
99.9%
4 1
 
< 0.1%
6 1
 
< 0.1%

Length

2023-12-11T03:24:34.391111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:24:34.604283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3765
99.9%
4 1
 
< 0.1%
6 1
 
< 0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01식품제조가공업07_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>
12식품제조가공업07_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>
23식품제조가공업07_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>
34식품제조가공업07_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>
45식품제조가공업07_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>
56식품제조가공업07_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>
67식품제조가공업07_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>
78식품제조가공업07_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>
89식품제조가공업07_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>
910식품제조가공업07_22_11_P34100003410000-106-2005-0000520050927<NA>3폐업2폐업20070918<NA><NA><NA><NA>58.84700812대구광역시 중구 대봉동 0166-0010번지<NA><NA>(주)엠빠나다20051028000000I2018-08-31 23:59:59.0식품제조가공업344440.147732263031.504086식품제조가공업<NA><NA><NA><NA>상수도전용<NA>0101임대<NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
37573758식품제조가공업07_22_11_P34800003480000-106-2013-0001520131016<NA>1영업/정상1영업<NA><NA><NA><NA><NA>78.42711864대구광역시 달성군 가창면 용계리 233-16대구광역시 달성군 가창면 가창로213길 8-1, 1층42936보리채움20220207173857U2022-02-09 02:40:00.0식품제조가공업346565.952924256681.467415식품제조가공업00<NA><NA>상수도전용00000임대00N0.0<NA><NA><NA>
37583759식품제조가공업07_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>
37593760식품제조가공업07_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>
37603761식품제조가공업07_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>
37613762식품제조가공업07_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>
37623763식품제조가공업07_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>
37633764식품제조가공업07_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>
37643765식품제조가공업07_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>
37653766식품제조가공업07_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>
37663767식품제조가공업07_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>