Overview

Dataset statistics

Number of variables47
Number of observations641
Missing cells6118
Missing cells (%)20.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory254.3 KiB
Average record size in memory406.2 B

Variable types

Numeric12
Categorical19
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description22년12월_6270000_대구광역시_07_22_13_P_식품판매업(기타)
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097396&dataSetDetailId=DDI_0000097421&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
본사직원수 is highly imbalanced (62.5%)Imbalance
공장생산직직원수 is highly imbalanced (69.7%)Imbalance
보증액 is highly imbalanced (64.4%)Imbalance
월세액 is highly imbalanced (64.4%)Imbalance
홈페이지 is highly imbalanced (98.3%)Imbalance
인허가취소일자 has 641 (100.0%) missing valuesMissing
폐업일자 has 320 (49.9%) missing valuesMissing
휴업시작일자 has 641 (100.0%) missing valuesMissing
휴업종료일자 has 641 (100.0%) missing valuesMissing
재개업일자 has 641 (100.0%) missing valuesMissing
소재지전화 has 105 (16.4%) missing valuesMissing
소재지면적 has 29 (4.5%) missing valuesMissing
소재지우편번호 has 15 (2.3%) missing valuesMissing
도로명전체주소 has 120 (18.7%) missing valuesMissing
도로명우편번호 has 125 (19.5%) missing valuesMissing
좌표정보(X) has 11 (1.7%) missing valuesMissing
좌표정보(Y) has 11 (1.7%) missing valuesMissing
영업장주변구분명 has 641 (100.0%) missing valuesMissing
등급구분명 has 641 (100.0%) missing valuesMissing
공장사무직직원수 has 127 (19.8%) missing valuesMissing
공장판매직직원수 has 127 (19.8%) missing valuesMissing
전통업소지정번호 has 641 (100.0%) missing valuesMissing
전통업소주된음식 has 641 (100.0%) missing valuesMissing
공장사무직직원수 is highly skewed (γ1 = 21.86713639)Skewed
시설총규모 is highly skewed (γ1 = 22.87068016)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
공장사무직직원수 has 484 (75.5%) zerosZeros
공장판매직직원수 has 473 (73.8%) zerosZeros
시설총규모 has 574 (89.5%) zerosZeros

Reproduction

Analysis started2023-12-10 20:47:24.328874
Analysis finished2023-12-10 20:47:26.120115
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct641
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321
Minimum1
Maximum641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:47:26.259692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33
Q1161
median321
Q3481
95-th percentile609
Maximum641
Range640
Interquartile range (IQR)320

Descriptive statistics

Standard deviation185.18504
Coefficient of variation (CV)0.57690044
Kurtosis-1.2
Mean321
Median Absolute Deviation (MAD)160
Skewness0
Sum205761
Variance34293.5
MonotonicityStrictly increasing
2023-12-11T05:47:26.484932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
482 1
 
0.2%
424 1
 
0.2%
425 1
 
0.2%
426 1
 
0.2%
427 1
 
0.2%
428 1
 
0.2%
429 1
 
0.2%
430 1
 
0.2%
431 1
 
0.2%
Other values (631) 631
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
641 1
0.2%
640 1
0.2%
639 1
0.2%
638 1
0.2%
637 1
0.2%
636 1
0.2%
635 1
0.2%
634 1
0.2%
633 1
0.2%
632 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
식품판매업(기타)
641 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식품판매업(기타)
2nd row식품판매업(기타)
3rd row식품판매업(기타)
4th row식품판매업(기타)
5th row식품판매업(기타)

Common Values

ValueCountFrequency (%)
식품판매업(기타) 641
100.0%

Length

2023-12-11T05:47:26.741168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:26.958941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품판매업(기타 641
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
07_22_13_P
641 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_13_P
2nd row07_22_13_P
3rd row07_22_13_P
4th row07_22_13_P
5th row07_22_13_P

Common Values

ValueCountFrequency (%)
07_22_13_P 641
100.0%

Length

2023-12-11T05:47:27.154672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:27.325710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_13_p 641
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453010.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:47:27.472245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13440000
median3460000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation21068.672
Coefficient of variation (CV)0.0061015365
Kurtosis-0.97334384
Mean3453010.9
Median Absolute Deviation (MAD)10000
Skewness-0.52132728
Sum2.21338 × 109
Variance4.4388894 × 108
MonotonicityIncreasing
2023-12-11T05:47:27.731070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 155
24.2%
3450000 107
16.7%
3460000 102
15.9%
3420000 100
15.6%
3480000 88
13.7%
3430000 37
 
5.8%
3440000 33
 
5.1%
3410000 19
 
3.0%
ValueCountFrequency (%)
3410000 19
 
3.0%
3420000 100
15.6%
3430000 37
 
5.8%
3440000 33
 
5.1%
3450000 107
16.7%
3460000 102
15.9%
3470000 155
24.2%
3480000 88
13.7%
ValueCountFrequency (%)
3480000 88
13.7%
3470000 155
24.2%
3460000 102
15.9%
3450000 107
16.7%
3440000 33
 
5.1%
3430000 37
 
5.8%
3420000 100
15.6%
3410000 19
 
3.0%

관리번호
Text

UNIQUE 

Distinct641
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-11T05:47:28.087385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters14102
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

Unique641 ?
Unique (%)100.0%

Sample

1st row3410000-114-2022-00003
2nd row3410000-114-2020-00001
3rd row3410000-114-2022-00001
4th row3410000-114-1990-00002
5th row3410000-114-1993-00001
ValueCountFrequency (%)
3410000-114-2022-00003 1
 
0.2%
3460000-114-2012-00001 1
 
0.2%
3470000-114-2017-00003 1
 
0.2%
3470000-114-2005-00001 1
 
0.2%
3470000-114-2021-00001 1
 
0.2%
3470000-114-1996-00003 1
 
0.2%
3470000-114-2004-00001 1
 
0.2%
3470000-114-2004-00002 1
 
0.2%
3470000-114-2017-00001 1
 
0.2%
3470000-114-2017-00002 1
 
0.2%
Other values (631) 631
98.4%
2023-12-11T05:47:28.692042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6006
42.6%
1 1936
 
13.7%
- 1923
 
13.6%
4 1439
 
10.2%
2 961
 
6.8%
3 821
 
5.8%
7 236
 
1.7%
5 229
 
1.6%
6 203
 
1.4%
9 181
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12179
86.4%
Dash Punctuation 1923
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6006
49.3%
1 1936
 
15.9%
4 1439
 
11.8%
2 961
 
7.9%
3 821
 
6.7%
7 236
 
1.9%
5 229
 
1.9%
6 203
 
1.7%
9 181
 
1.5%
8 167
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1923
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14102
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6006
42.6%
1 1936
 
13.7%
- 1923
 
13.6%
4 1439
 
10.2%
2 961
 
6.8%
3 821
 
5.8%
7 236
 
1.7%
5 229
 
1.6%
6 203
 
1.4%
9 181
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6006
42.6%
1 1936
 
13.7%
- 1923
 
13.6%
4 1439
 
10.2%
2 961
 
6.8%
3 821
 
5.8%
7 236
 
1.7%
5 229
 
1.6%
6 203
 
1.4%
9 181
 
1.3%

인허가일자
Real number (ℝ)

Distinct604
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20101385
Minimum19900512
Maximum20221205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:47:29.430343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19900512
5-th percentile19980328
Q120050106
median20101119
Q320160315
95-th percentile20210426
Maximum20221205
Range320693
Interquartile range (IQR)110209

Descriptive statistics

Standard deviation71499.265
Coefficient of variation (CV)0.0035569323
Kurtosis-0.78300711
Mean20101385
Median Absolute Deviation (MAD)59196
Skewness-0.26125799
Sum1.2884988 × 1010
Variance5.1121449 × 109
MonotonicityNot monotonic
2023-12-11T05:47:29.799713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19960701 3
 
0.5%
20100810 3
 
0.5%
19980921 2
 
0.3%
20141014 2
 
0.3%
20090330 2
 
0.3%
20101222 2
 
0.3%
20140508 2
 
0.3%
20040913 2
 
0.3%
19960706 2
 
0.3%
20130405 2
 
0.3%
Other values (594) 619
96.6%
ValueCountFrequency (%)
19900512 1
 
0.2%
19900518 1
 
0.2%
19900531 1
 
0.2%
19930907 1
 
0.2%
19960125 1
 
0.2%
19960627 1
 
0.2%
19960628 1
 
0.2%
19960701 3
0.5%
19960704 2
0.3%
19960706 2
0.3%
ValueCountFrequency (%)
20221205 1
0.2%
20220926 1
0.2%
20220725 1
0.2%
20220719 1
0.2%
20220707 1
0.2%
20220429 1
0.2%
20220427 1
0.2%
20220426 1
0.2%
20220405 1
0.2%
20220331 2
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing641
Missing (%)100.0%
Memory size5.8 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
3
321 
1
320 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 321
50.1%
1 320
49.9%

Length

2023-12-11T05:47:30.075371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:30.249505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 321
50.1%
1 320
49.9%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
폐업
321 
영업/정상
320 

Length

Max length5
Median length2
Mean length3.4976599
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 321
50.1%
영업/정상 320
49.9%

Length

2023-12-11T05:47:30.496190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:30.712435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 321
50.1%
영업/정상 320
49.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2
321 
1
320 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 321
50.1%
1 320
49.9%

Length

2023-12-11T05:47:30.981414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:31.229578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 321
50.1%
1 320
49.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
폐업
321 
영업
320 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 321
50.1%
영업 320
49.9%

Length

2023-12-11T05:47:31.456468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:31.685921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 321
50.1%
영업 320
49.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct299
Distinct (%)93.1%
Missing320
Missing (%)49.9%
Infinite0
Infinite (%)0.0%
Mean20136459
Minimum20010213
Maximum20221230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:47:31.903774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010213
5-th percentile20040630
Q120090407
median20150114
Q320190417
95-th percentile20220330
Maximum20221230
Range211017
Interquartile range (IQR)100010

Descriptive statistics

Standard deviation57101.286
Coefficient of variation (CV)0.0028357164
Kurtosis-1.0586782
Mean20136459
Median Absolute Deviation (MAD)49608
Skewness-0.2811958
Sum6.4638032 × 109
Variance3.2605569 × 109
MonotonicityNot monotonic
2023-12-11T05:47:32.185528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20221228 3
 
0.5%
20130813 2
 
0.3%
20220405 2
 
0.3%
20140825 2
 
0.3%
20180508 2
 
0.3%
20051214 2
 
0.3%
20090914 2
 
0.3%
20090119 2
 
0.3%
20071001 2
 
0.3%
20021211 2
 
0.3%
Other values (289) 300
46.8%
(Missing) 320
49.9%
ValueCountFrequency (%)
20010213 1
0.2%
20021001 1
0.2%
20021024 1
0.2%
20021025 1
0.2%
20021125 1
0.2%
20021211 2
0.3%
20030114 1
0.2%
20030321 1
0.2%
20030407 1
0.2%
20030416 1
0.2%
ValueCountFrequency (%)
20221230 1
 
0.2%
20221228 3
0.5%
20221227 2
0.3%
20221207 1
 
0.2%
20221202 1
 
0.2%
20221130 1
 
0.2%
20220629 1
 
0.2%
20220621 1
 
0.2%
20220603 1
 
0.2%
20220509 1
 
0.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing641
Missing (%)100.0%
Memory size5.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing641
Missing (%)100.0%
Memory size5.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing641
Missing (%)100.0%
Memory size5.8 KiB

소재지전화
Text

MISSING 

Distinct507
Distinct (%)94.6%
Missing105
Missing (%)16.4%
Memory size5.1 KiB
2023-12-11T05:47:32.729114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.078358
Min length7

Characters and Unicode

Total characters5938
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

Unique482 ?
Unique (%)89.9%

Sample

1st row053 4272228
2nd row053 2522111
3rd row053 4261234
4th row053 252 5601
5th row053 253 3800
ValueCountFrequency (%)
053 442
35.6%
986 8
 
0.6%
5601 8
 
0.6%
791 6
 
0.5%
963 5
 
0.4%
961 5
 
0.4%
965 5
 
0.4%
964 5
 
0.4%
625 5
 
0.4%
381 5
 
0.4%
Other values (604) 746
60.2%
2023-12-11T05:47:33.470699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 970
16.3%
5 937
15.8%
3 812
13.7%
710
12.0%
6 481
8.1%
1 380
 
6.4%
2 380
 
6.4%
9 353
 
5.9%
7 339
 
5.7%
8 322
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5228
88.0%
Space Separator 710
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 970
18.6%
5 937
17.9%
3 812
15.5%
6 481
9.2%
1 380
 
7.3%
2 380
 
7.3%
9 353
 
6.8%
7 339
 
6.5%
8 322
 
6.2%
4 254
 
4.9%
Space Separator
ValueCountFrequency (%)
710
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5938
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 970
16.3%
5 937
15.8%
3 812
13.7%
710
12.0%
6 481
8.1%
1 380
 
6.4%
2 380
 
6.4%
9 353
 
5.9%
7 339
 
5.7%
8 322
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5938
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 970
16.3%
5 937
15.8%
3 812
13.7%
710
12.0%
6 481
8.1%
1 380
 
6.4%
2 380
 
6.4%
9 353
 
5.9%
7 339
 
5.7%
8 322
 
5.4%

소재지면적
Text

MISSING 

Distinct534
Distinct (%)87.3%
Missing29
Missing (%)4.5%
Memory size5.1 KiB
2023-12-11T05:47:33.974955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.1944444
Min length3

Characters and Unicode

Total characters3791
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

Unique487 ?
Unique (%)79.6%

Sample

1st row323.00
2nd row372.00
3rd row.00
4th row2,296.80
5th row3,592.20
ValueCountFrequency (%)
00 14
 
2.3%
396.00 5
 
0.8%
495.00 5
 
0.8%
542.00 4
 
0.7%
450.00 4
 
0.7%
792.00 3
 
0.5%
467.26 3
 
0.5%
830.00 3
 
0.5%
390.00 3
 
0.5%
619.99 3
 
0.5%
Other values (524) 565
92.3%
2023-12-11T05:47:34.689769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 736
19.4%
. 612
16.1%
3 328
8.7%
4 308
8.1%
5 304
8.0%
8 261
 
6.9%
9 246
 
6.5%
6 240
 
6.3%
1 231
 
6.1%
7 227
 
6.0%
Other values (2) 298
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3102
81.8%
Other Punctuation 689
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 736
23.7%
3 328
10.6%
4 308
9.9%
5 304
9.8%
8 261
 
8.4%
9 246
 
7.9%
6 240
 
7.7%
1 231
 
7.4%
7 227
 
7.3%
2 221
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 612
88.8%
, 77
 
11.2%

Most occurring scripts

ValueCountFrequency (%)
Common 3791
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 736
19.4%
. 612
16.1%
3 328
8.7%
4 308
8.1%
5 304
8.0%
8 261
 
6.9%
9 246
 
6.5%
6 240
 
6.3%
1 231
 
6.1%
7 227
 
6.0%
Other values (2) 298
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3791
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 736
19.4%
. 612
16.1%
3 328
8.7%
4 308
8.1%
5 304
8.0%
8 261
 
6.9%
9 246
 
6.5%
6 240
 
6.3%
1 231
 
6.1%
7 227
 
6.0%
Other values (2) 298
7.9%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct272
Distinct (%)43.5%
Missing15
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean704941.52
Minimum700070
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:47:34.930274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700070
5-th percentile701489.5
Q1702826.25
median704809
Q3706170
95-th percentile711834
Maximum711891
Range11821
Interquartile range (IQR)3343.75

Descriptive statistics

Standard deviation3033.7028
Coefficient of variation (CV)0.0043034814
Kurtosis0.54854629
Mean704941.52
Median Absolute Deviation (MAD)1964
Skewness1.0529659
Sum4.4129339 × 108
Variance9203352.4
MonotonicityNot monotonic
2023-12-11T05:47:35.155181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
706170 12
 
1.9%
711813 9
 
1.4%
704912 8
 
1.2%
711852 8
 
1.2%
711812 8
 
1.2%
701847 8
 
1.2%
703846 7
 
1.1%
711815 7
 
1.1%
711834 7
 
1.1%
706839 7
 
1.1%
Other values (262) 545
85.0%
(Missing) 15
 
2.3%
ValueCountFrequency (%)
700070 1
0.2%
700082 1
0.2%
700092 2
0.3%
700180 1
0.2%
700320 1
0.2%
700412 1
0.2%
700413 1
0.2%
700421 1
0.2%
700440 1
0.2%
700750 1
0.2%
ValueCountFrequency (%)
711891 5
0.8%
711874 2
 
0.3%
711873 2
 
0.3%
711872 3
 
0.5%
711864 4
0.6%
711852 8
1.2%
711851 1
 
0.2%
711842 1
 
0.2%
711838 3
 
0.5%
711837 2
 
0.3%

소재지전체주소
Text

Distinct560
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-11T05:47:35.686685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length42
Mean length23.541342
Min length17

Characters and Unicode

Total characters15090
Distinct characters235
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

Unique495 ?
Unique (%)77.2%

Sample

1st row대구광역시 중구 남산동 0151-0104 1층
2nd row대구광역시 중구 대신동 2106 대신센트럴자이 303동 B101호
3rd row대구광역시 중구 대신동 1621
4th row대구광역시 중구 덕산동 0053-0003
5th row대구광역시 중구 대봉동 0214
ValueCountFrequency (%)
대구광역시 641
 
20.8%
달서구 155
 
5.0%
북구 107
 
3.5%
수성구 102
 
3.3%
동구 100
 
3.2%
달성군 88
 
2.9%
서구 37
 
1.2%
남구 33
 
1.1%
1층 33
 
1.1%
다사읍 29
 
0.9%
Other values (812) 1762
57.1%
2023-12-11T05:47:36.470753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3051
20.2%
구 1215
 
8.1%
1 841
 
5.6%
동 756
 
5.0%
대 701
 
4.6%
시 651
 
4.3%
역 643
 
4.3%
광 641
 
4.2%
- 436
 
2.9%
2 375
 
2.5%
Other values (225) 5780
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8288
54.9%
Decimal Number 3126
 
20.7%
Space Separator 3051
 
20.2%
Dash Punctuation 436
 
2.9%
Close Punctuation 54
 
0.4%
Open Punctuation 54
 
0.4%
Uppercase Letter 44
 
0.3%
Other Punctuation 33
 
0.2%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1215
14.7%
동 756
 
9.1%
대 701
 
8.5%
시 651
 
7.9%
역 643
 
7.8%
광 641
 
7.7%
성 248
 
3.0%
달 244
 
2.9%
서 229
 
2.8%
지 196
 
2.4%
Other values (195) 2764
33.3%
Uppercase Letter
ValueCountFrequency (%)
B 15
34.1%
A 14
31.8%
C 4
 
9.1%
S 2
 
4.5%
P 2
 
4.5%
T 1
 
2.3%
O 1
 
2.3%
R 1
 
2.3%
E 1
 
2.3%
X 1
 
2.3%
Other values (2) 2
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 841
26.9%
2 375
12.0%
0 337
10.8%
3 276
 
8.8%
5 260
 
8.3%
4 245
 
7.8%
7 218
 
7.0%
8 198
 
6.3%
9 191
 
6.1%
6 185
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 30
90.9%
. 3
 
9.1%
Space Separator
ValueCountFrequency (%)
3051
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 436
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8288
54.9%
Common 6757
44.8%
Latin 45
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1215
14.7%
동 756
 
9.1%
대 701
 
8.5%
시 651
 
7.9%
역 643
 
7.8%
광 641
 
7.7%
성 248
 
3.0%
달 244
 
2.9%
서 229
 
2.8%
지 196
 
2.4%
Other values (195) 2764
33.3%
Common
ValueCountFrequency (%)
3051
45.2%
1 841
 
12.4%
- 436
 
6.5%
2 375
 
5.5%
0 337
 
5.0%
3 276
 
4.1%
5 260
 
3.8%
4 245
 
3.6%
7 218
 
3.2%
8 198
 
2.9%
Other values (7) 520
 
7.7%
Latin
ValueCountFrequency (%)
B 15
33.3%
A 14
31.1%
C 4
 
8.9%
S 2
 
4.4%
P 2
 
4.4%
T 1
 
2.2%
O 1
 
2.2%
R 1
 
2.2%
E 1
 
2.2%
X 1
 
2.2%
Other values (3) 3
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8288
54.9%
ASCII 6802
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3051
44.9%
1 841
 
12.4%
- 436
 
6.4%
2 375
 
5.5%
0 337
 
5.0%
3 276
 
4.1%
5 260
 
3.8%
4 245
 
3.6%
7 218
 
3.2%
8 198
 
2.9%
Other values (20) 565
 
8.3%
Hangul
ValueCountFrequency (%)
구 1215
14.7%
동 756
 
9.1%
대 701
 
8.5%
시 651
 
7.9%
역 643
 
7.8%
광 641
 
7.7%
성 248
 
3.0%
달 244
 
2.9%
서 229
 
2.8%
지 196
 
2.4%
Other values (195) 2764
33.3%

도로명전체주소
Text

MISSING 

Distinct493
Distinct (%)94.6%
Missing120
Missing (%)18.7%
Memory size5.1 KiB
2023-12-11T05:47:37.054526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length52
Mean length29.105566
Min length20

Characters and Unicode

Total characters15164
Distinct characters277
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

Unique467 ?
Unique (%)89.6%

Sample

1st row대구광역시 중구 달구벌대로 2016-10 (남산동)
2nd row대구광역시 중구 달구벌대로 1955, 303동 B101호 (대신동, 대신센트럴자이)
3rd row대구광역시 중구 달구벌대로389길 56 (대신동)
4th row대구광역시 중구 달구벌대로 2085 (덕산동)
5th row대구광역시 중구 명덕로 333 (대봉동)
ValueCountFrequency (%)
대구광역시 521
 
16.9%
1층 149
 
4.8%
달서구 128
 
4.1%
수성구 86
 
2.8%
동구 85
 
2.8%
북구 79
 
2.6%
달성군 68
 
2.2%
서구 29
 
0.9%
남구 28
 
0.9%
지하1층 26
 
0.8%
Other values (872) 1887
61.1%
2023-12-11T05:47:37.902755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2565
 
16.9%
구 1050
 
6.9%
동 720
 
4.7%
1 713
 
4.7%
대 666
 
4.4%
시 538
 
3.5%
역 531
 
3.5%
광 522
 
3.4%
로 518
 
3.4%
) 488
 
3.2%
Other values (267) 6853
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8831
58.2%
Space Separator 2565
 
16.9%
Decimal Number 2262
 
14.9%
Close Punctuation 488
 
3.2%
Open Punctuation 488
 
3.2%
Other Punctuation 407
 
2.7%
Uppercase Letter 63
 
0.4%
Dash Punctuation 43
 
0.3%
Math Symbol 16
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1050
 
11.9%
동 720
 
8.2%
대 666
 
7.5%
시 538
 
6.1%
역 531
 
6.0%
광 522
 
5.9%
로 518
 
5.9%
달 247
 
2.8%
층 240
 
2.7%
성 233
 
2.6%
Other values (232) 3566
40.4%
Uppercase Letter
ValueCountFrequency (%)
A 20
31.7%
B 15
23.8%
C 7
 
11.1%
D 3
 
4.8%
O 2
 
3.2%
E 2
 
3.2%
R 2
 
3.2%
S 2
 
3.2%
P 2
 
3.2%
T 2
 
3.2%
Other values (6) 6
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 713
31.5%
2 294
13.0%
0 223
 
9.9%
3 199
 
8.8%
4 173
 
7.6%
5 167
 
7.4%
6 152
 
6.7%
7 134
 
5.9%
8 104
 
4.6%
9 103
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 405
99.5%
. 2
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 15
93.8%
+ 1
 
6.2%
Space Separator
ValueCountFrequency (%)
2565
100.0%
Close Punctuation
ValueCountFrequency (%)
) 488
100.0%
Open Punctuation
ValueCountFrequency (%)
( 488
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8831
58.2%
Common 6269
41.3%
Latin 64
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1050
 
11.9%
동 720
 
8.2%
대 666
 
7.5%
시 538
 
6.1%
역 531
 
6.0%
광 522
 
5.9%
로 518
 
5.9%
달 247
 
2.8%
층 240
 
2.7%
성 233
 
2.6%
Other values (232) 3566
40.4%
Common
ValueCountFrequency (%)
2565
40.9%
1 713
 
11.4%
) 488
 
7.8%
( 488
 
7.8%
, 405
 
6.5%
2 294
 
4.7%
0 223
 
3.6%
3 199
 
3.2%
4 173
 
2.8%
5 167
 
2.7%
Other values (8) 554
 
8.8%
Latin
ValueCountFrequency (%)
A 20
31.2%
B 15
23.4%
C 7
 
10.9%
D 3
 
4.7%
O 2
 
3.1%
E 2
 
3.1%
R 2
 
3.1%
S 2
 
3.1%
P 2
 
3.1%
T 2
 
3.1%
Other values (7) 7
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8831
58.2%
ASCII 6333
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2565
40.5%
1 713
 
11.3%
) 488
 
7.7%
( 488
 
7.7%
, 405
 
6.4%
2 294
 
4.6%
0 223
 
3.5%
3 199
 
3.1%
4 173
 
2.7%
5 167
 
2.6%
Other values (25) 618
 
9.8%
Hangul
ValueCountFrequency (%)
구 1050
 
11.9%
동 720
 
8.2%
대 666
 
7.5%
시 538
 
6.1%
역 531
 
6.0%
광 522
 
5.9%
로 518
 
5.9%
달 247
 
2.8%
층 240
 
2.7%
성 233
 
2.6%
Other values (232) 3566
40.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct337
Distinct (%)65.3%
Missing125
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean42123.578
Minimum41002
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:47:38.133208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41072.75
Q141511
median42201
Q342756.75
95-th percentile42974
Maximum43024
Range2022
Interquartile range (IQR)1245.75

Descriptive statistics

Standard deviation656.87951
Coefficient of variation (CV)0.015594106
Kurtosis-1.3456715
Mean42123.578
Median Absolute Deviation (MAD)591.5
Skewness-0.27213611
Sum21735766
Variance431490.69
MonotonicityNot monotonic
2023-12-11T05:47:38.351875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42780 7
 
1.1%
42760 5
 
0.8%
41516 5
 
0.8%
41412 4
 
0.6%
41427 4
 
0.6%
41087 4
 
0.6%
41044 4
 
0.6%
41446 4
 
0.6%
42974 4
 
0.6%
42930 3
 
0.5%
Other values (327) 472
73.6%
(Missing) 125
 
19.5%
ValueCountFrequency (%)
41002 2
0.3%
41005 2
0.3%
41009 1
 
0.2%
41026 3
0.5%
41036 2
0.3%
41037 2
0.3%
41043 2
0.3%
41044 4
0.6%
41045 1
 
0.2%
41050 2
0.3%
ValueCountFrequency (%)
43024 1
 
0.2%
43020 1
 
0.2%
43018 2
0.3%
43017 2
0.3%
43015 1
 
0.2%
43010 3
0.5%
43009 1
 
0.2%
43008 1
 
0.2%
43005 3
0.5%
43004 1
 
0.2%

사업장명
Text

Distinct535
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-11T05:47:38.743472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length8.2870515
Min length2

Characters and Unicode

Total characters5312
Distinct characters316
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique494 ?
Unique (%)77.1%

Sample

1st row청라홈마트
2nd row홈마트
3rd row오케이(O.K)포인트마트
4th row주식회사 이랜드킴스클럽 쇼핑점
5th row(주)대구백화점대백프라자
ValueCountFrequency (%)
대백마트 31
 
4.0%
나이스마트 19
 
2.4%
필마트 10
 
1.3%
홈마트 10
 
1.3%
드림마트 8
 
1.0%
파워마트 7
 
0.9%
롯데쇼핑(주)롯데슈퍼 7
 
0.9%
마트프라임 6
 
0.8%
주식회사 6
 
0.8%
빅마트 5
 
0.6%
Other values (567) 671
86.0%
2023-12-11T05:47:39.389176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 513
 
9.7%
마 493
 
9.3%
점 307
 
5.8%
( 214
 
4.0%
) 214
 
4.0%
대 173
 
3.3%
140
 
2.6%
주 140
 
2.6%
스 130
 
2.4%
이 126
 
2.4%
Other values (306) 2862
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4655
87.6%
Open Punctuation 214
 
4.0%
Close Punctuation 214
 
4.0%
Space Separator 140
 
2.6%
Uppercase Letter 58
 
1.1%
Lowercase Letter 13
 
0.2%
Decimal Number 7
 
0.1%
Dash Punctuation 5
 
0.1%
Other Punctuation 3
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 513
 
11.0%
마 493
 
10.6%
점 307
 
6.6%
대 173
 
3.7%
주 140
 
3.0%
스 130
 
2.8%
이 126
 
2.7%
백 90
 
1.9%
구 73
 
1.6%
인 67
 
1.4%
Other values (268) 2543
54.6%
Uppercase Letter
ValueCountFrequency (%)
O 14
24.1%
K 13
22.4%
D 6
10.3%
S 5
 
8.6%
C 5
 
8.6%
G 3
 
5.2%
I 3
 
5.2%
E 2
 
3.4%
T 2
 
3.4%
M 1
 
1.7%
Other values (4) 4
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
o 3
23.1%
e 2
15.4%
l 2
15.4%
d 1
 
7.7%
f 1
 
7.7%
a 1
 
7.7%
w 1
 
7.7%
h 1
 
7.7%
s 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
3 1
 
14.3%
6 1
 
14.3%
5 1
 
14.3%
1 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
! 1
33.3%
. 1
33.3%
& 1
33.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 214
100.0%
Close Punctuation
ValueCountFrequency (%)
) 214
100.0%
Space Separator
ValueCountFrequency (%)
140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4656
87.7%
Common 583
 
11.0%
Latin 73
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 513
 
11.0%
마 493
 
10.6%
점 307
 
6.6%
대 173
 
3.7%
주 140
 
3.0%
스 130
 
2.8%
이 126
 
2.7%
백 90
 
1.9%
구 73
 
1.6%
인 67
 
1.4%
Other values (269) 2544
54.6%
Latin
ValueCountFrequency (%)
O 14
19.2%
K 13
17.8%
D 6
 
8.2%
S 5
 
6.8%
C 5
 
6.8%
o 3
 
4.1%
G 3
 
4.1%
I 3
 
4.1%
E 2
 
2.7%
T 2
 
2.7%
Other values (15) 17
23.3%
Common
ValueCountFrequency (%)
( 214
36.7%
) 214
36.7%
140
24.0%
- 5
 
0.9%
2 3
 
0.5%
! 1
 
0.2%
. 1
 
0.2%
& 1
 
0.2%
3 1
 
0.2%
6 1
 
0.2%
Other values (2) 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4655
87.6%
ASCII 654
 
12.3%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 513
 
11.0%
마 493
 
10.6%
점 307
 
6.6%
대 173
 
3.7%
주 140
 
3.0%
스 130
 
2.8%
이 126
 
2.7%
백 90
 
1.9%
구 73
 
1.6%
인 67
 
1.4%
Other values (268) 2543
54.6%
ASCII
ValueCountFrequency (%)
( 214
32.7%
) 214
32.7%
140
21.4%
O 14
 
2.1%
K 13
 
2.0%
D 6
 
0.9%
- 5
 
0.8%
S 5
 
0.8%
C 5
 
0.8%
2 3
 
0.5%
Other values (25) 35
 
5.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct621
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0154513 × 1013
Minimum2.0010823 × 1013
Maximum2.022123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:47:39.628503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010823 × 1013
5-th percentile2.0021112 × 1013
Q12.0120117 × 1013
median2.0171024 × 1013
Q32.0210107 × 1013
95-th percentile2.0220726 × 1013
Maximum2.022123 × 1013
Range2.1040715 × 1011
Interquartile range (IQR)8.999 × 1010

Descriptive statistics

Standard deviation6.0984731 × 1010
Coefficient of variation (CV)0.0030258599
Kurtosis-0.45907897
Mean2.0154513 × 1013
Median Absolute Deviation (MAD)3.9586048 × 1010
Skewness-0.82673342
Sum1.2919043 × 1016
Variance3.7191374 × 1021
MonotonicityNot monotonic
2023-12-11T05:47:39.854782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020529000000 9
 
1.4%
20020927000000 6
 
0.9%
20020129000000 5
 
0.8%
20010823000000 4
 
0.6%
20170306135454 1
 
0.2%
20050830000000 1
 
0.2%
20221130114622 1
 
0.2%
20120604140916 1
 
0.2%
20220516171351 1
 
0.2%
20150330155906 1
 
0.2%
Other values (611) 611
95.3%
ValueCountFrequency (%)
20010823000000 4
0.6%
20011019000000 1
 
0.2%
20011112000000 1
 
0.2%
20020115000000 1
 
0.2%
20020129000000 5
0.8%
20020218000000 1
 
0.2%
20020517000000 1
 
0.2%
20020529000000 9
1.4%
20020906000000 1
 
0.2%
20020927000000 6
0.9%
ValueCountFrequency (%)
20221230145930 1
0.2%
20221228164210 1
0.2%
20221228144756 1
0.2%
20221228130414 1
0.2%
20221227162900 1
0.2%
20221227162822 1
0.2%
20221223112518 1
0.2%
20221207142423 1
0.2%
20221207105344 1
0.2%
20221205153005 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
I
383 
U
258 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 383
59.8%
U 258
40.2%

Length

2023-12-11T05:47:40.085101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:40.294500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 383
59.8%
u 258
40.2%

데이터갱신일자
Date

Distinct242
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-01 02:40:00
2023-12-11T05:47:40.485471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:47:40.739337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
기타식품판매업
641 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 641
100.0%

Length

2023-12-11T05:47:40.949973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:41.099670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 641
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct471
Distinct (%)74.8%
Missing11
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean342472.53
Minimum327363.83
Maximum357881.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:47:41.377093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327363.83
5-th percentile331457.07
Q1338425.15
median341207.26
Q3346838.74
95-th percentile354381.61
Maximum357881.33
Range30517.501
Interquartile range (IQR)8413.5816

Descriptive statistics

Standard deviation6530.9086
Coefficient of variation (CV)0.019069876
Kurtosis-0.46215234
Mean342472.53
Median Absolute Deviation (MAD)4423.0189
Skewness0.19263204
Sum2.157577 × 108
Variance42652767
MonotonicityNot monotonic
2023-12-11T05:47:41.739668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339180.112254152 5
 
0.8%
338300.745101101 4
 
0.6%
347826.817028935 4
 
0.6%
348304.264728808 4
 
0.6%
338678.797272666 4
 
0.6%
355759.028695703 4
 
0.6%
345967.428447026 4
 
0.6%
340547.780848207 3
 
0.5%
338899.41279497 3
 
0.5%
344654.240920516 3
 
0.5%
Other values (461) 592
92.4%
(Missing) 11
 
1.7%
ValueCountFrequency (%)
327363.828177518 1
0.2%
327726.873050023 1
0.2%
327994.771470839 1
0.2%
328032.453544805 1
0.2%
328337.804499192 1
0.2%
329190.900054984 1
0.2%
329636.392774519 1
0.2%
329898.834237202 1
0.2%
330129.072570815 1
0.2%
330130.823289004 1
0.2%
ValueCountFrequency (%)
357881.329153021 1
 
0.2%
356429.740532646 1
 
0.2%
356410.892344199 1
 
0.2%
356223.244084316 1
 
0.2%
356082.088510347 1
 
0.2%
355939.362329351 1
 
0.2%
355759.028695703 4
0.6%
355737.129428969 2
0.3%
355694.01492302 2
0.3%
355652.896847736 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct471
Distinct (%)74.8%
Missing11
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean262550.69
Minimum240452.6
Maximum274053.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:47:41.963046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240452.6
5-th percentile254175.01
Q1259798.08
median262909.59
Q3265461.42
95-th percentile271678.35
Maximum274053.96
Range33601.362
Interquartile range (IQR)5663.3414

Descriptive statistics

Standard deviation5739.3545
Coefficient of variation (CV)0.021859987
Kurtosis2.795639
Mean262550.69
Median Absolute Deviation (MAD)2783.2908
Skewness-1.0980189
Sum1.6540693 × 108
Variance32940190
MonotonicityNot monotonic
2023-12-11T05:47:42.305552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
271678.34729922 5
 
0.8%
259066.123687973 4
 
0.6%
267363.246963872 4
 
0.6%
259445.17112843 4
 
0.6%
260540.364298043 4
 
0.6%
264357.76825185 4
 
0.6%
268444.938565273 4
 
0.6%
271944.939697366 3
 
0.5%
257234.537084558 3
 
0.5%
270187.609416909 3
 
0.5%
Other values (461) 592
92.4%
(Missing) 11
 
1.7%
ValueCountFrequency (%)
240452.595560483 1
0.2%
240457.763653127 1
0.2%
240757.941481673 1
0.2%
241079.570172457 1
0.2%
241150.870459004 1
0.2%
242735.533882088 1
0.2%
244184.010181879 1
0.2%
244299.11752907 1
0.2%
244347.936404907 1
0.2%
244543.552402647 1
0.2%
ValueCountFrequency (%)
274053.957157104 1
0.2%
273590.429551867 1
0.2%
273485.891451374 2
0.3%
273428.028289324 1
0.2%
273396.782286087 1
0.2%
273119.603299587 2
0.3%
273102.354233264 1
0.2%
272935.03495749 1
0.2%
272735.675659876 1
0.2%
272706.306988309 2
0.3%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
기타식품판매업
641 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 641
100.0%

Length

2023-12-11T05:47:42.537217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:42.674835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 641
100.0%

남성종사자수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
562 
0
79 

Length

Max length4
Median length4
Mean length3.6302652
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 562
87.7%
0 79
 
12.3%

Length

2023-12-11T05:47:42.842161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:42.999378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 562
87.7%
0 79
 
12.3%

여성종사자수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
562 
0
79 

Length

Max length4
Median length4
Mean length3.6302652
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 562
87.7%
0 79
 
12.3%

Length

2023-12-11T05:47:43.171760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:43.346111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 562
87.7%
0 79
 
12.3%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing641
Missing (%)100.0%
Memory size5.8 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing641
Missing (%)100.0%
Memory size5.8 KiB

급수시설구분명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
411 
상수도전용
229 
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length17
Median length4
Mean length4.3775351
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 411
64.1%
상수도전용 229
35.7%
상수도(음용)지하수(주방용)겸용 1
 
0.2%

Length

2023-12-11T05:47:43.644579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:44.855605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 411
64.1%
상수도전용 229
35.7%
상수도(음용)지하수(주방용)겸용 1
 
0.2%

총직원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
563 
0
78 

Length

Max length4
Median length4
Mean length3.6349454
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 563
87.8%
0 78
 
12.2%

Length

2023-12-11T05:47:45.101199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:45.449889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
87.8%
0 78
 
12.2%

본사직원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
0
512 
<NA>
127 
80
 
1
5
 
1

Length

Max length4
Median length1
Mean length1.5959438
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 512
79.9%
<NA> 127
 
19.8%
80 1
 
0.2%
5 1
 
0.2%

Length

2023-12-11T05:47:45.662313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:45.826891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 512
79.9%
na 127
 
19.8%
80 1
 
0.2%
5 1
 
0.2%

공장사무직직원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)1.4%
Missing127
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean0.26264591
Minimum0
Maximum80
Zeros484
Zeros (%)75.5%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:47:46.005315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum80
Range80
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.5682001
Coefficient of variation (CV)13.585592
Kurtosis488.86248
Mean0.26264591
Median Absolute Deviation (MAD)0
Skewness21.867136
Sum135
Variance12.732052
MonotonicityNot monotonic
2023-12-11T05:47:46.328943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 484
75.5%
1 15
 
2.3%
2 9
 
1.4%
3 3
 
0.5%
80 1
 
0.2%
8 1
 
0.2%
5 1
 
0.2%
(Missing) 127
 
19.8%
ValueCountFrequency (%)
0 484
75.5%
1 15
 
2.3%
2 9
 
1.4%
3 3
 
0.5%
5 1
 
0.2%
8 1
 
0.2%
80 1
 
0.2%
ValueCountFrequency (%)
80 1
 
0.2%
8 1
 
0.2%
5 1
 
0.2%
3 3
 
0.5%
2 9
 
1.4%
1 15
 
2.3%
0 484
75.5%

공장판매직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)3.1%
Missing127
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean0.70233463
Minimum0
Maximum46
Zeros473
Zeros (%)73.8%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:47:46.574384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.35
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.435129
Coefficient of variation (CV)4.8910148
Kurtosis78.090432
Mean0.70233463
Median Absolute Deviation (MAD)0
Skewness7.7606543
Sum361
Variance11.800111
MonotonicityNot monotonic
2023-12-11T05:47:46.841198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 473
73.8%
5 6
 
0.9%
1 5
 
0.8%
3 4
 
0.6%
15 3
 
0.5%
4 3
 
0.5%
2 3
 
0.5%
12 3
 
0.5%
7 3
 
0.5%
10 2
 
0.3%
Other values (6) 9
 
1.4%
(Missing) 127
 
19.8%
ValueCountFrequency (%)
0 473
73.8%
1 5
 
0.8%
2 3
 
0.5%
3 4
 
0.6%
4 3
 
0.5%
5 6
 
0.9%
7 3
 
0.5%
8 2
 
0.3%
10 2
 
0.3%
12 3
 
0.5%
ValueCountFrequency (%)
46 1
 
0.2%
32 1
 
0.2%
20 2
0.3%
15 3
0.5%
14 1
 
0.2%
13 2
0.3%
12 3
0.5%
10 2
0.3%
8 2
0.3%
7 3
0.5%

공장생산직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
0
510 
<NA>
127 
3
 
1
80
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.5959438
Min length1

Unique

Unique4 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 510
79.6%
<NA> 127
 
19.8%
3 1
 
0.2%
80 1
 
0.2%
2 1
 
0.2%
6 1
 
0.2%

Length

2023-12-11T05:47:47.183891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:47.355782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 510
79.6%
na 127
 
19.8%
3 1
 
0.2%
80 1
 
0.2%
2 1
 
0.2%
6 1
 
0.2%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
420 
자가
134 
임대
87 

Length

Max length4
Median length4
Mean length3.3104524
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 420
65.5%
자가 134
 
20.9%
임대 87
 
13.6%

Length

2023-12-11T05:47:47.548319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:47.731047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 420
65.5%
자가 134
 
20.9%
임대 87
 
13.6%

보증액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
559 
0
81 
40000000
 
1

Length

Max length8
Median length4
Mean length3.6271451
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 559
87.2%
0 81
 
12.6%
40000000 1
 
0.2%

Length

2023-12-11T05:47:47.920932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:48.088944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 559
87.2%
0 81
 
12.6%
40000000 1
 
0.2%

월세액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
559 
0
81 
1000000
 
1

Length

Max length7
Median length4
Mean length3.625585
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 559
87.2%
0 81
 
12.6%
1000000 1
 
0.2%

Length

2023-12-11T05:47:48.400737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:48.581459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 559
87.2%
0 81
 
12.6%
1000000 1
 
0.2%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size773.0 B
False
641 
ValueCountFrequency (%)
False 641
100.0%
2023-12-11T05:47:48.747167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct64
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.364228
Minimum0
Maximum15160
Zeros574
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:47:48.918688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30.6
Maximum15160
Range15160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation620.93451
Coefficient of variation (CV)13.392534
Kurtosis551.89264
Mean46.364228
Median Absolute Deviation (MAD)0
Skewness22.87068
Sum29719.47
Variance385559.67
MonotonicityNot monotonic
2023-12-11T05:47:49.160862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 574
89.5%
10.54 2
 
0.3%
30.0 2
 
0.3%
13.2 2
 
0.3%
3.3 2
 
0.3%
613.45 1
 
0.2%
1153.87 1
 
0.2%
12.25 1
 
0.2%
7.4 1
 
0.2%
522.9 1
 
0.2%
Other values (54) 54
 
8.4%
ValueCountFrequency (%)
0.0 574
89.5%
1.7 1
 
0.2%
3.0 1
 
0.2%
3.3 2
 
0.3%
5.0 1
 
0.2%
5.1 1
 
0.2%
6.6 1
 
0.2%
7.4 1
 
0.2%
8.75 1
 
0.2%
9.44 1
 
0.2%
ValueCountFrequency (%)
15160.0 1
0.2%
3360.0 1
0.2%
1153.87 1
0.2%
935.04 1
0.2%
930.56 1
0.2%
855.03 1
0.2%
852.8 1
0.2%
630.0 1
0.2%
613.45 1
0.2%
522.9 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing641
Missing (%)100.0%
Memory size5.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing641
Missing (%)100.0%
Memory size5.8 KiB

홈페이지
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
640 
14
 
1

Length

Max length4
Median length4
Mean length3.9968799
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 640
99.8%
14 1
 
0.2%

Length

2023-12-11T05:47:49.466668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:49.660275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 640
99.8%
14 1
 
0.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01식품판매업(기타)07_22_13_P34100003410000-114-2022-0000320220221<NA>1영업/정상1영업<NA><NA><NA><NA><NA>323.00700831대구광역시 중구 남산동 0151-0104 1층대구광역시 중구 달구벌대로 2016-10 (남산동)41964청라홈마트20220307132521U2022-03-10 02:40:00.0기타식품판매업343023.950149263898.645033기타식품판매업00<NA><NA>상수도전용00000자가00N0.0<NA><NA><NA>
12식품판매업(기타)07_22_13_P34100003410000-114-2020-0000120201207<NA>3폐업2폐업20220113<NA><NA><NA>053 4272228372.00700320대구광역시 중구 대신동 2106 대신센트럴자이 303동 B101호대구광역시 중구 달구벌대로 1955, 303동 B101호 (대신동, 대신센트럴자이)41929홈마트20220113152905U2022-01-15 02:40:00.0기타식품판매업342424.00132263905.367548기타식품판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
23식품판매업(기타)07_22_13_P34100003410000-114-2022-0000120220112<NA>1영업/정상1영업<NA><NA><NA><NA><NA>.00700819대구광역시 중구 대신동 1621대구광역시 중구 달구벌대로389길 56 (대신동)41928오케이(O.K)포인트마트20220112142811I2022-01-14 00:22:40.0기타식품판매업342275.106387263999.302348기타식품판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
34식품판매업(기타)07_22_13_P34100003410000-114-1990-0000219900518<NA>1영업/정상1영업<NA><NA><NA><NA>053 25221112,296.80700070대구광역시 중구 덕산동 0053-0003대구광역시 중구 달구벌대로 2085 (덕산동)41936주식회사 이랜드킴스클럽 쇼핑점20221101141614U2022-11-03 02:40:00.0기타식품판매업343705.561002264056.630949기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
45식품판매업(기타)07_22_13_P34100003410000-114-1993-0000119930907<NA>1영업/정상1영업<NA><NA><NA><NA>053 42612343,592.20700811대구광역시 중구 대봉동 0214대구광역시 중구 명덕로 333 (대봉동)41953(주)대구백화점대백프라자20120201160519I2018-08-31 23:59:59.0기타식품판매업345032.238221262949.871621기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
56식품판매업(기타)07_22_13_P34100003410000-114-2007-0000120070906<NA>1영업/정상1영업<NA><NA><NA><NA>053 252 5601661.00700808대구광역시 중구 남산동 2971-0011 지상1층대구광역시 중구 달구벌대로 1936, 1층 (남산동)41974롯데쇼핑(주)롯데슈퍼 남산점20220429185222U2022-05-03 02:40:00.0기타식품판매업342303.123488263634.294525기타식품판매업<NA><NA><NA><NA>상수도전용<NA>03200임대<NA><NA>N0.0<NA><NA><NA>
67식품판매업(기타)07_22_13_P34100003410000-114-2008-0000120080201<NA>1영업/정상1영업<NA><NA><NA><NA>053 253 3800.00700810대구광역시 중구 대봉동 0060-0010 센트로팰리스아파트 108동 1층 101호대구광역시 중구 대봉로 260, 108동 1층 101호 (대봉동, 센트로팰리스아파트)41950대백마트(대봉점)20221005161447U2022-10-07 02:40:00.0기타식품판매업344584.149436263593.636812기타식품판매업<NA><NA><NA><NA>상수도전용<NA>01150임대<NA><NA>N0.0<NA><NA><NA>
78식품판매업(기타)07_22_13_P34100003410000-114-2011-0000120110816<NA>1영업/정상1영업<NA><NA><NA><NA>053 24529014,694.00700082대구광역시 중구 계산동2가 0200 외1필지 지하1층대구광역시 중구 달구벌대로 2077 (계산동2가, 외1필지 지하1층)41936(주) 현대백화점20200429145035U2020-05-01 02:40:00.0기타식품판매업343588.735555264119.01075기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000자가<NA><NA>N0.0<NA><NA><NA>
89식품판매업(기타)07_22_13_P34100003410000-114-2014-0000220141224<NA>1영업/정상1영업<NA><NA><NA><NA>053 4261457396.00700413대구광역시 중구 삼덕동3가 0120-0001 지상1층대구광역시 중구 동덕로30길 90 (삼덕동3가, 지상1층)41946마트프라임 경대병원점20141224151439I2018-08-31 23:59:59.0기타식품판매업345218.241331264089.335411기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
910식품판매업(기타)07_22_13_P34100003410000-114-2017-0000120170828<NA>1영업/정상1영업<NA><NA><NA><NA>053 25150006,226.00700440대구광역시 중구 남산동 3006 반월당효성해링턴플레이스 301동 지하2층대구광역시 중구 중앙대로66길 20 (남산동, 반월당효성해링턴플레이스 301동 지하2층)41961(주)서원유통 탑마트 대구점20220623131336U2022-06-25 02:40:00.0기타식품판매업343902.080116263530.809939기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
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