Overview

Dataset statistics

Number of variables47
Number of observations613
Missing cells6538
Missing cells (%)22.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory243.2 KiB
Average record size in memory406.2 B

Variable types

Numeric12
Categorical18
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description6270000_대구광역시_07_22_13_P_식품판매업(기타)_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089629&dataSetDetailId=DDI_0000089681&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
위생업태명 is highly imbalanced (98.3%)Imbalance
남성종사자수 is highly imbalanced (98.3%)Imbalance
여성종사자수 is highly imbalanced (98.3%)Imbalance
본사종업원수 is highly imbalanced (59.1%)Imbalance
공장생산직종업원수 is highly imbalanced (67.1%)Imbalance
보증액 is highly imbalanced (96.1%)Imbalance
월세액 is highly imbalanced (96.1%)Imbalance
홈페이지 is highly imbalanced (98.3%)Imbalance
인허가취소일자 has 613 (100.0%) missing valuesMissing
폐업일자 has 323 (52.7%) missing valuesMissing
휴업시작일자 has 613 (100.0%) missing valuesMissing
휴업종료일자 has 613 (100.0%) missing valuesMissing
재개업일자 has 613 (100.0%) missing valuesMissing
소재지전화 has 89 (14.5%) missing valuesMissing
소재지면적 has 33 (5.4%) missing valuesMissing
소재지우편번호 has 14 (2.3%) missing valuesMissing
도로명전체주소 has 120 (19.6%) missing valuesMissing
도로명우편번호 has 124 (20.2%) missing valuesMissing
좌표정보(X) has 15 (2.4%) missing valuesMissing
좌표정보(Y) has 15 (2.4%) missing valuesMissing
영업장주변구분명 has 613 (100.0%) missing valuesMissing
등급구분명 has 613 (100.0%) missing valuesMissing
총종업원수 has 613 (100.0%) missing valuesMissing
공장사무직종업원수 has 143 (23.3%) missing valuesMissing
공장판매직종업원수 has 143 (23.3%) missing valuesMissing
전통업소지정번호 has 613 (100.0%) missing valuesMissing
전통업소주된음식 has 613 (100.0%) missing valuesMissing
공장사무직종업원수 is highly skewed (γ1 = 20.91212504)Skewed
시설총규모 is highly skewed (γ1 = 22.45886627)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
총종업원수 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
공장사무직종업원수 has 440 (71.8%) zerosZeros
공장판매직종업원수 has 429 (70.0%) zerosZeros
시설총규모 has 551 (89.9%) zerosZeros

Reproduction

Analysis started2024-04-19 06:26:40.547672
Analysis finished2024-04-19 06:26:41.487850
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct613
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307
Minimum1
Maximum613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-19T15:26:41.552993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile31.6
Q1154
median307
Q3460
95-th percentile582.4
Maximum613
Range612
Interquartile range (IQR)306

Descriptive statistics

Standard deviation177.10214
Coefficient of variation (CV)0.57687992
Kurtosis-1.2
Mean307
Median Absolute Deviation (MAD)153
Skewness0
Sum188191
Variance31365.167
MonotonicityStrictly increasing
2024-04-19T15:26:41.687616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
413 1
 
0.2%
406 1
 
0.2%
407 1
 
0.2%
408 1
 
0.2%
409 1
 
0.2%
410 1
 
0.2%
411 1
 
0.2%
412 1
 
0.2%
414 1
 
0.2%
Other values (603) 603
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 (%)
613 1
0.2%
612 1
0.2%
611 1
0.2%
610 1
0.2%
609 1
0.2%
608 1
0.2%
607 1
0.2%
606 1
0.2%
605 1
0.2%
604 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
식품판매업(기타)
613 

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) 613
100.0%

Length

2024-04-19T15:26:41.816104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:41.908773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품판매업(기타 613
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
07_22_13_P
613 

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 613
100.0%

Length

2024-04-19T15:26:42.009849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:42.099921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_13_p 613
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453066.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-19T15:26:42.182987image/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 deviation20997.753
Coefficient of variation (CV)0.0060808997
Kurtosis-0.97794873
Mean3453066.9
Median Absolute Deviation (MAD)10000
Skewness-0.51675461
Sum2.11673 × 109
Variance4.4090565 × 108
MonotonicityIncreasing
2024-04-19T15:26:42.294841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 146
23.8%
3450000 104
17.0%
3460000 99
16.2%
3420000 98
16.0%
3480000 85
13.9%
3430000 35
 
5.7%
3440000 30
 
4.9%
3410000 16
 
2.6%
ValueCountFrequency (%)
3410000 16
 
2.6%
3420000 98
16.0%
3430000 35
 
5.7%
3440000 30
 
4.9%
3450000 104
17.0%
3460000 99
16.2%
3470000 146
23.8%
3480000 85
13.9%
ValueCountFrequency (%)
3480000 85
13.9%
3470000 146
23.8%
3460000 99
16.2%
3450000 104
17.0%
3440000 30
 
4.9%
3430000 35
 
5.7%
3420000 98
16.0%
3410000 16
 
2.6%

관리번호
Text

UNIQUE 

Distinct613
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-19T15:26:42.512086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters13486
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

Unique613 ?
Unique (%)100.0%

Sample

1st row3410000-114-2017-00002
2nd row3410000-114-1990-00002
3rd row3410000-114-2013-00001
4th row3410000-114-2001-00001
5th row3410000-114-1990-00003
ValueCountFrequency (%)
3410000-114-2017-00002 1
 
0.2%
3470000-114-2018-00003 1
 
0.2%
3470000-114-2001-00010 1
 
0.2%
3470000-114-2009-00004 1
 
0.2%
3470000-114-2009-00002 1
 
0.2%
3470000-114-2019-00002 1
 
0.2%
3470000-114-2021-00001 1
 
0.2%
3470000-114-2004-00006 1
 
0.2%
3470000-114-2018-00004 1
 
0.2%
3470000-114-2017-00003 1
 
0.2%
Other values (603) 603
98.4%
2024-04-19T15:26:42.833087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5754
42.7%
1 1863
 
13.8%
- 1839
 
13.6%
4 1377
 
10.2%
2 875
 
6.5%
3 785
 
5.8%
7 227
 
1.7%
5 223
 
1.7%
6 198
 
1.5%
9 181
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11647
86.4%
Dash Punctuation 1839
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5754
49.4%
1 1863
 
16.0%
4 1377
 
11.8%
2 875
 
7.5%
3 785
 
6.7%
7 227
 
1.9%
5 223
 
1.9%
6 198
 
1.7%
9 181
 
1.6%
8 164
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1839
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13486
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5754
42.7%
1 1863
 
13.8%
- 1839
 
13.6%
4 1377
 
10.2%
2 875
 
6.5%
3 785
 
5.8%
7 227
 
1.7%
5 223
 
1.7%
6 198
 
1.5%
9 181
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13486
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5754
42.7%
1 1863
 
13.8%
- 1839
 
13.6%
4 1377
 
10.2%
2 875
 
6.5%
3 785
 
5.8%
7 227
 
1.7%
5 223
 
1.7%
6 198
 
1.5%
9 181
 
1.3%

인허가일자
Real number (ℝ)

Distinct578
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20096042
Minimum19900512
Maximum20210513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-19T15:26:42.971854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19900512
5-th percentile19980316
Q120040913
median20100810
Q320150619
95-th percentile20200213
Maximum20210513
Range310001
Interquartile range (IQR)109706

Descriptive statistics

Standard deviation68488.802
Coefficient of variation (CV)0.0034080742
Kurtosis-0.77073291
Mean20096042
Median Absolute Deviation (MAD)50216
Skewness-0.3050442
Sum1.2318874 × 1010
Variance4.690716 × 109
MonotonicityNot monotonic
2024-04-19T15:26:43.121978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19960701 3
 
0.5%
20100810 3
 
0.5%
20001017 2
 
0.3%
20090921 2
 
0.3%
19960706 2
 
0.3%
20140508 2
 
0.3%
20141014 2
 
0.3%
20101222 2
 
0.3%
20090330 2
 
0.3%
20171108 2
 
0.3%
Other values (568) 591
96.4%
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 (%)
20210513 1
0.2%
20210507 2
0.3%
20210503 1
0.2%
20210426 1
0.2%
20210413 1
0.2%
20210412 1
0.2%
20210324 1
0.2%
20210319 1
0.2%
20210310 2
0.3%
20210309 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing613
Missing (%)100.0%
Memory size5.5 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
1
323 
3
290 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 323
52.7%
3 290
47.3%

Length

2024-04-19T15:26:43.259172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:43.384559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 323
52.7%
3 290
47.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
영업/정상
323 
폐업
290 

Length

Max length5
Median length5
Mean length3.5807504
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 323
52.7%
폐업 290
47.3%

Length

2024-04-19T15:26:43.546098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:43.691154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 323
52.7%
폐업 290
47.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
1
323 
2
290 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 323
52.7%
2 290
47.3%

Length

2024-04-19T15:26:43.797754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:44.186472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 323
52.7%
2 290
47.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
영업
323 
폐업
290 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 323
52.7%
폐업 290
47.3%

Length

2024-04-19T15:26:44.307199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:44.402266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 323
52.7%
폐업 290
47.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct273
Distinct (%)94.1%
Missing323
Missing (%)52.7%
Infinite0
Infinite (%)0.0%
Mean20127818
Minimum20010213
Maximum20210525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-19T15:26:44.519936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010213
5-th percentile20040402
Q120081220
median20140304
Q320170886
95-th percentile20200710
Maximum20210525
Range200312
Interquartile range (IQR)89666

Descriptive statistics

Standard deviation53218.774
Coefficient of variation (CV)0.0026440409
Kurtosis-1.0709207
Mean20127818
Median Absolute Deviation (MAD)49137
Skewness-0.27230148
Sum5.8370673 × 109
Variance2.8322379 × 109
MonotonicityNot monotonic
2024-04-19T15:26:44.675724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130813 2
 
0.3%
20021211 2
 
0.3%
20071001 2
 
0.3%
20090119 2
 
0.3%
20090914 2
 
0.3%
20051214 2
 
0.3%
20100824 2
 
0.3%
20180508 2
 
0.3%
20071221 2
 
0.3%
20190308 2
 
0.3%
Other values (263) 270
44.0%
(Missing) 323
52.7%
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 (%)
20210525 1
0.2%
20210219 1
0.2%
20210203 1
0.2%
20210202 1
0.2%
20210111 1
0.2%
20210104 1
0.2%
20201230 1
0.2%
20201223 1
0.2%
20201215 1
0.2%
20201201 1
0.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing613
Missing (%)100.0%
Memory size5.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing613
Missing (%)100.0%
Memory size5.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing613
Missing (%)100.0%
Memory size5.5 KiB

소재지전화
Text

MISSING 

Distinct495
Distinct (%)94.5%
Missing89
Missing (%)14.5%
Memory size4.9 KiB
2024-04-19T15:26:45.008220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.04771
Min length7

Characters and Unicode

Total characters5789
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

Unique470 ?
Unique (%)89.7%

Sample

1st row053 2521008
2nd row053 2522111
3rd row053 2534789
4th row053 2559500
5th row053 4231234
ValueCountFrequency (%)
053 429
35.5%
986 8
 
0.7%
5601 8
 
0.7%
791 6
 
0.5%
964 6
 
0.5%
625 5
 
0.4%
963 5
 
0.4%
961 5
 
0.4%
965 5
 
0.4%
381 5
 
0.4%
Other values (587) 726
60.1%
2024-04-19T15:26:45.534451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 940
16.2%
5 907
15.7%
3 789
13.6%
690
11.9%
6 477
8.2%
2 374
 
6.5%
1 367
 
6.3%
9 349
 
6.0%
7 334
 
5.8%
8 315
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5099
88.1%
Space Separator 690
 
11.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 940
18.4%
5 907
17.8%
3 789
15.5%
6 477
9.4%
2 374
 
7.3%
1 367
 
7.2%
9 349
 
6.8%
7 334
 
6.6%
8 315
 
6.2%
4 247
 
4.8%
Space Separator
ValueCountFrequency (%)
690
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5789
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 940
16.2%
5 907
15.7%
3 789
13.6%
690
11.9%
6 477
8.2%
2 374
 
6.5%
1 367
 
6.3%
9 349
 
6.0%
7 334
 
5.8%
8 315
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5789
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 940
16.2%
5 907
15.7%
3 789
13.6%
690
11.9%
6 477
8.2%
2 374
 
6.5%
1 367
 
6.3%
9 349
 
6.0%
7 334
 
5.8%
8 315
 
5.4%

소재지면적
Text

MISSING 

Distinct514
Distinct (%)88.6%
Missing33
Missing (%)5.4%
Memory size4.9 KiB
2024-04-19T15:26:45.944768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.2396552
Min length3

Characters and Unicode

Total characters3619
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

Unique470 ?
Unique (%)81.0%

Sample

1st row472.00
2nd row2,296.80
3rd row450.00
4th row653.40
5th row1,010.86
ValueCountFrequency (%)
00 6
 
1.0%
495.00 5
 
0.9%
396.00 5
 
0.9%
450.00 4
 
0.7%
542.00 4
 
0.7%
800.00 3
 
0.5%
467.26 3
 
0.5%
300.00 3
 
0.5%
660.00 3
 
0.5%
390.00 3
 
0.5%
Other values (504) 541
93.3%
2024-04-19T15:26:46.490994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 694
19.2%
. 580
16.0%
3 311
8.6%
5 300
8.3%
4 288
8.0%
8 250
 
6.9%
6 238
 
6.6%
9 235
 
6.5%
1 222
 
6.1%
7 215
 
5.9%
Other values (2) 286
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2964
81.9%
Other Punctuation 655
 
18.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 694
23.4%
3 311
10.5%
5 300
10.1%
4 288
9.7%
8 250
 
8.4%
6 238
 
8.0%
9 235
 
7.9%
1 222
 
7.5%
7 215
 
7.3%
2 211
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 580
88.5%
, 75
 
11.5%

Most occurring scripts

ValueCountFrequency (%)
Common 3619
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 694
19.2%
. 580
16.0%
3 311
8.6%
5 300
8.3%
4 288
8.0%
8 250
 
6.9%
6 238
 
6.6%
9 235
 
6.5%
1 222
 
6.1%
7 215
 
5.9%
Other values (2) 286
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3619
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 694
19.2%
. 580
16.0%
3 311
8.6%
5 300
8.3%
4 288
8.0%
8 250
 
6.9%
6 238
 
6.6%
9 235
 
6.5%
1 222
 
6.1%
7 215
 
5.9%
Other values (2) 286
7.9%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct266
Distinct (%)44.4%
Missing14
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean704953.58
Minimum700070
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-19T15:26:46.646294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700070
5-th percentile701796.7
Q1702826
median704808
Q3706170
95-th percentile711837
Maximum711891
Range11821
Interquartile range (IQR)3344

Descriptive statistics

Standard deviation3049.2151
Coefficient of variation (CV)0.0043254126
Kurtosis0.50843729
Mean704953.58
Median Absolute Deviation (MAD)1963
Skewness1.0502198
Sum4.222672 × 108
Variance9297712.6
MonotonicityNot monotonic
2024-04-19T15:26:46.780800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
706170 12
 
2.0%
704912 8
 
1.3%
711812 8
 
1.3%
701847 8
 
1.3%
711852 8
 
1.3%
711813 7
 
1.1%
702886 7
 
1.1%
711834 7
 
1.1%
711815 7
 
1.1%
704819 6
 
1.0%
Other values (256) 521
85.0%
(Missing) 14
 
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 4
0.7%
711874 2
 
0.3%
711873 2
 
0.3%
711872 4
0.7%
711864 4
0.7%
711852 8
1.3%
711851 1
 
0.2%
711842 1
 
0.2%
711838 3
 
0.5%
711837 2
 
0.3%

소재지전체주소
Text

Distinct547
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-19T15:26:47.102436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length43
Mean length25.256117
Min length17

Characters and Unicode

Total characters15482
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

Unique496 ?
Unique (%)80.9%

Sample

1st row대구광역시 중구 수창동 0050-0010번지 지상1층
2nd row대구광역시 중구 덕산동 0053-0003
3rd row대구광역시 중구 동인동1가 0071번지 지상1층
4th row대구광역시 중구 대신동 0115-370번지 서문시장2지구지하서편,2(지하1층)
5th row대구광역시 중구 동성로2가 0174번지 대구백화점 지하1층
ValueCountFrequency (%)
대구광역시 613
 
20.7%
달서구 146
 
4.9%
북구 104
 
3.5%
수성구 99
 
3.4%
동구 98
 
3.3%
달성군 85
 
2.9%
서구 35
 
1.2%
남구 30
 
1.0%
지상1층 27
 
0.9%
다사읍 27
 
0.9%
Other values (819) 1691
57.2%
2024-04-19T15:26:47.588781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2920
18.9%
구 1161
 
7.5%
1 803
 
5.2%
동 728
 
4.7%
지 715
 
4.6%
대 666
 
4.3%
시 623
 
4.0%
역 615
 
4.0%
광 613
 
4.0%
번 523
 
3.4%
Other values (225) 6115
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8966
57.9%
Decimal Number 2990
 
19.3%
Space Separator 2920
 
18.9%
Dash Punctuation 419
 
2.7%
Open Punctuation 53
 
0.3%
Close Punctuation 53
 
0.3%
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 1161
12.9%
동 728
 
8.1%
지 715
 
8.0%
대 666
 
7.4%
시 623
 
6.9%
역 615
 
6.9%
광 613
 
6.8%
번 523
 
5.8%
성 238
 
2.7%
달 232
 
2.6%
Other values (195) 2852
31.8%
Uppercase Letter
ValueCountFrequency (%)
B 15
34.1%
A 14
31.8%
C 4
 
9.1%
S 2
 
4.5%
P 2
 
4.5%
E 1
 
2.3%
X 1
 
2.3%
R 1
 
2.3%
T 1
 
2.3%
D 1
 
2.3%
Other values (2) 2
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 803
26.9%
2 364
12.2%
0 317
 
10.6%
3 262
 
8.8%
5 247
 
8.3%
4 232
 
7.8%
7 211
 
7.1%
8 194
 
6.5%
6 182
 
6.1%
9 178
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 30
90.9%
. 3
 
9.1%
Space Separator
ValueCountFrequency (%)
2920
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 419
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8966
57.9%
Common 6471
41.8%
Latin 45
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1161
12.9%
동 728
 
8.1%
지 715
 
8.0%
대 666
 
7.4%
시 623
 
6.9%
역 615
 
6.9%
광 613
 
6.8%
번 523
 
5.8%
성 238
 
2.7%
달 232
 
2.6%
Other values (195) 2852
31.8%
Common
ValueCountFrequency (%)
2920
45.1%
1 803
 
12.4%
- 419
 
6.5%
2 364
 
5.6%
0 317
 
4.9%
3 262
 
4.0%
5 247
 
3.8%
4 232
 
3.6%
7 211
 
3.3%
8 194
 
3.0%
Other values (7) 502
 
7.8%
Latin
ValueCountFrequency (%)
B 15
33.3%
A 14
31.1%
C 4
 
8.9%
S 2
 
4.4%
P 2
 
4.4%
E 1
 
2.2%
X 1
 
2.2%
R 1
 
2.2%
T 1
 
2.2%
D 1
 
2.2%
Other values (3) 3
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8966
57.9%
ASCII 6516
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2920
44.8%
1 803
 
12.3%
- 419
 
6.4%
2 364
 
5.6%
0 317
 
4.9%
3 262
 
4.0%
5 247
 
3.8%
4 232
 
3.6%
7 211
 
3.2%
8 194
 
3.0%
Other values (20) 547
 
8.4%
Hangul
ValueCountFrequency (%)
구 1161
12.9%
동 728
 
8.1%
지 715
 
8.0%
대 666
 
7.4%
시 623
 
6.9%
역 615
 
6.9%
광 613
 
6.8%
번 523
 
5.8%
성 238
 
2.7%
달 232
 
2.6%
Other values (195) 2852
31.8%

도로명전체주소
Text

MISSING 

Distinct466
Distinct (%)94.5%
Missing120
Missing (%)19.6%
Memory size4.9 KiB
2024-04-19T15:26:47.947143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length51
Mean length28.914807
Min length20

Characters and Unicode

Total characters14255
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

Unique440 ?
Unique (%)89.2%

Sample

1st row대구광역시 중구 달성로26길 76 (수창동, 지상1층)
2nd row대구광역시 중구 달구벌대로 2085 (덕산동)
3rd row대구광역시 중구 공평로 104 (동인동1가, 지상1층)
4th row대구광역시 중구 동성로 30, 지하1층 (동성로2가, 대구백화점)
5th row대구광역시 중구 경상감영길 171 (동문동)
ValueCountFrequency (%)
대구광역시 493
 
17.0%
1층 133
 
4.6%
달서구 119
 
4.1%
수성구 83
 
2.9%
동구 83
 
2.9%
북구 76
 
2.6%
달성군 65
 
2.2%
서구 27
 
0.9%
남구 25
 
0.9%
다사읍 22
 
0.8%
Other values (847) 1777
61.2%
2024-04-19T15:26:48.510736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2410
 
16.9%
구 992
 
7.0%
동 686
 
4.8%
1 650
 
4.6%
대 626
 
4.4%
시 510
 
3.6%
역 503
 
3.5%
광 494
 
3.5%
로 489
 
3.4%
( 462
 
3.2%
Other values (267) 6433
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8324
58.4%
Space Separator 2410
 
16.9%
Decimal Number 2109
 
14.8%
Open Punctuation 462
 
3.2%
Close Punctuation 462
 
3.2%
Other Punctuation 372
 
2.6%
Uppercase Letter 61
 
0.4%
Dash Punctuation 39
 
0.3%
Math Symbol 15
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 992
 
11.9%
동 686
 
8.2%
대 626
 
7.5%
시 510
 
6.1%
역 503
 
6.0%
광 494
 
5.9%
로 489
 
5.9%
달 231
 
2.8%
성 221
 
2.7%
층 216
 
2.6%
Other values (232) 3356
40.3%
Uppercase Letter
ValueCountFrequency (%)
A 20
32.8%
B 15
24.6%
C 5
 
8.2%
D 3
 
4.9%
S 2
 
3.3%
R 2
 
3.3%
O 2
 
3.3%
E 2
 
3.3%
T 2
 
3.3%
P 2
 
3.3%
Other values (6) 6
 
9.8%
Decimal Number
ValueCountFrequency (%)
1 650
30.8%
2 277
13.1%
0 211
 
10.0%
3 188
 
8.9%
4 163
 
7.7%
5 159
 
7.5%
6 143
 
6.8%
7 124
 
5.9%
9 98
 
4.6%
8 96
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 371
99.7%
. 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 14
93.3%
+ 1
 
6.7%
Space Separator
ValueCountFrequency (%)
2410
100.0%
Open Punctuation
ValueCountFrequency (%)
( 462
100.0%
Close Punctuation
ValueCountFrequency (%)
) 462
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8324
58.4%
Common 5869
41.2%
Latin 62
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 992
 
11.9%
동 686
 
8.2%
대 626
 
7.5%
시 510
 
6.1%
역 503
 
6.0%
광 494
 
5.9%
로 489
 
5.9%
달 231
 
2.8%
성 221
 
2.7%
층 216
 
2.6%
Other values (232) 3356
40.3%
Common
ValueCountFrequency (%)
2410
41.1%
1 650
 
11.1%
( 462
 
7.9%
) 462
 
7.9%
, 371
 
6.3%
2 277
 
4.7%
0 211
 
3.6%
3 188
 
3.2%
4 163
 
2.8%
5 159
 
2.7%
Other values (8) 516
 
8.8%
Latin
ValueCountFrequency (%)
A 20
32.3%
B 15
24.2%
C 5
 
8.1%
D 3
 
4.8%
S 2
 
3.2%
R 2
 
3.2%
O 2
 
3.2%
E 2
 
3.2%
T 2
 
3.2%
P 2
 
3.2%
Other values (7) 7
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8324
58.4%
ASCII 5931
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2410
40.6%
1 650
 
11.0%
( 462
 
7.8%
) 462
 
7.8%
, 371
 
6.3%
2 277
 
4.7%
0 211
 
3.6%
3 188
 
3.2%
4 163
 
2.7%
5 159
 
2.7%
Other values (25) 578
 
9.7%
Hangul
ValueCountFrequency (%)
구 992
 
11.9%
동 686
 
8.2%
대 626
 
7.5%
시 510
 
6.1%
역 503
 
6.0%
광 494
 
5.9%
로 489
 
5.9%
달 231
 
2.8%
성 221
 
2.7%
층 216
 
2.6%
Other values (232) 3356
40.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct327
Distinct (%)66.9%
Missing124
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean42112.227
Minimum41002
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-19T15:26:48.661803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41070.2
Q141477
median42193
Q342752
95-th percentile42974
Maximum43024
Range2022
Interquartile range (IQR)1275

Descriptive statistics

Standard deviation661.12554
Coefficient of variation (CV)0.015699135
Kurtosis-1.3701193
Mean42112.227
Median Absolute Deviation (MAD)601
Skewness-0.24655072
Sum20592879
Variance437086.98
MonotonicityNot monotonic
2024-04-19T15:26:48.814953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42780 6
 
1.0%
41516 5
 
0.8%
41044 4
 
0.7%
41087 4
 
0.7%
41427 4
 
0.7%
42974 4
 
0.7%
41412 4
 
0.7%
42760 4
 
0.7%
42271 3
 
0.5%
41446 3
 
0.5%
Other values (317) 448
73.1%
(Missing) 124
 
20.2%
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
0.7%
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 2
0.3%
43009 1
 
0.2%
43008 1
 
0.2%
43005 3
0.5%
43004 1
 
0.2%

사업장명
Text

Distinct509
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-19T15:26:49.059869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length8.3066884
Min length2

Characters and Unicode

Total characters5092
Distinct characters309
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

Unique467 ?
Unique (%)76.2%

Sample

1st row대백마트수창점
2nd row동아백화점 쇼핑점
3rd row마트 프라임
4th row벨마트서문점
5th row(주)대구백화점
ValueCountFrequency (%)
대백마트 31
 
4.2%
나이스마트 17
 
2.3%
필마트 10
 
1.3%
롯데쇼핑(주)롯데슈퍼 9
 
1.2%
홈마트 9
 
1.2%
드림마트 8
 
1.1%
파워마트 7
 
0.9%
마트프라임 5
 
0.7%
오케이포인트마트 5
 
0.7%
마트 5
 
0.7%
Other values (533) 637
85.7%
2024-04-19T15:26:49.402972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 486
 
9.5%
마 464
 
9.1%
점 298
 
5.9%
) 212
 
4.2%
( 212
 
4.2%
대 167
 
3.3%
주 139
 
2.7%
131
 
2.6%
스 127
 
2.5%
이 114
 
2.2%
Other values (299) 2742
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4453
87.5%
Close Punctuation 212
 
4.2%
Open Punctuation 212
 
4.2%
Space Separator 131
 
2.6%
Uppercase Letter 58
 
1.1%
Lowercase Letter 9
 
0.2%
Decimal Number 7
 
0.1%
Dash Punctuation 5
 
0.1%
Other Punctuation 2
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 486
 
10.9%
마 464
 
10.4%
점 298
 
6.7%
대 167
 
3.8%
주 139
 
3.1%
스 127
 
2.9%
이 114
 
2.6%
백 91
 
2.0%
구 70
 
1.6%
인 66
 
1.5%
Other values (264) 2431
54.6%
Uppercase Letter
ValueCountFrequency (%)
O 13
22.4%
K 12
20.7%
D 6
10.3%
S 6
10.3%
C 5
 
8.6%
G 4
 
6.9%
I 3
 
5.2%
E 2
 
3.4%
T 2
 
3.4%
R 1
 
1.7%
Other values (4) 4
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
l 2
22.2%
a 1
11.1%
s 1
11.1%
o 1
11.1%
h 1
11.1%
w 1
11.1%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
3 1
 
14.3%
1 1
 
14.3%
6 1
 
14.3%
5 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
! 1
50.0%
& 1
50.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 212
100.0%
Space Separator
ValueCountFrequency (%)
131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4454
87.5%
Common 569
 
11.2%
Latin 69
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 486
 
10.9%
마 464
 
10.4%
점 298
 
6.7%
대 167
 
3.7%
주 139
 
3.1%
스 127
 
2.9%
이 114
 
2.6%
백 91
 
2.0%
구 70
 
1.6%
인 66
 
1.5%
Other values (265) 2432
54.6%
Latin
ValueCountFrequency (%)
O 13
18.8%
K 12
17.4%
D 6
8.7%
S 6
8.7%
C 5
 
7.2%
G 4
 
5.8%
I 3
 
4.3%
E 2
 
2.9%
e 2
 
2.9%
T 2
 
2.9%
Other values (13) 14
20.3%
Common
ValueCountFrequency (%)
) 212
37.3%
( 212
37.3%
131
23.0%
- 5
 
0.9%
2 3
 
0.5%
! 1
 
0.2%
3 1
 
0.2%
1 1
 
0.2%
6 1
 
0.2%
& 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4453
87.5%
ASCII 636
 
12.5%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 486
 
10.9%
마 464
 
10.4%
점 298
 
6.7%
대 167
 
3.8%
주 139
 
3.1%
스 127
 
2.9%
이 114
 
2.6%
백 91
 
2.0%
구 70
 
1.6%
인 66
 
1.5%
Other values (264) 2431
54.6%
ASCII
ValueCountFrequency (%)
) 212
33.3%
( 212
33.3%
131
20.6%
O 13
 
2.0%
K 12
 
1.9%
D 6
 
0.9%
S 6
 
0.9%
C 5
 
0.8%
- 5
 
0.8%
G 4
 
0.6%
Other values (22) 30
 
4.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

최종수정시점
Real number (ℝ)

Distinct593
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0146475 × 1013
Minimum2.0010823 × 1013
Maximum2.0210531 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-19T15:26:49.539113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010823 × 1013
5-th percentile2.0021008 × 1013
Q12.0110803 × 1013
median2.0161101 × 1013
Q32.0191119 × 1013
95-th percentile2.0210321 × 1013
Maximum2.0210531 × 1013
Range1.9970816 × 1011
Interquartile range (IQR)8.0316001 × 1010

Descriptive statistics

Standard deviation5.7037075 × 1010
Coefficient of variation (CV)0.0028311193
Kurtosis-0.39110472
Mean2.0146475 × 1013
Median Absolute Deviation (MAD)3.9312032 × 1010
Skewness-0.85704515
Sum1.2349789 × 1016
Variance3.2532279 × 1021
MonotonicityNot monotonic
2024-04-19T15:26:49.701593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020529000000 9
 
1.5%
20020927000000 6
 
1.0%
20020129000000 5
 
0.8%
20010823000000 4
 
0.7%
20180904162535 1
 
0.2%
20100326100801 1
 
0.2%
20190722115505 1
 
0.2%
20100817172855 1
 
0.2%
20180330095553 1
 
0.2%
20100428135228 1
 
0.2%
Other values (583) 583
95.1%
ValueCountFrequency (%)
20010823000000 4
0.7%
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
1.5%
20020906000000 1
 
0.2%
20020927000000 6
1.0%
ValueCountFrequency (%)
20210531161013 1
0.2%
20210531133040 1
0.2%
20210531110641 1
0.2%
20210531105222 1
0.2%
20210531093744 1
0.2%
20210528165919 1
0.2%
20210526145203 1
0.2%
20210525115108 1
0.2%
20210525092318 1
0.2%
20210523150042 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
I
416 
U
197 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 416
67.9%
U 197
32.1%

Length

2024-04-19T15:26:49.870618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:49.979745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 416
67.9%
u 197
32.1%

데이터갱신일자
Date

Distinct182
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2018-08-31 23:59:59
Maximum2021-06-02 02:40:00
2024-04-19T15:26:50.084903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:26:50.231935image/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 size4.9 KiB
기타식품판매업
613 

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 613
100.0%

Length

2024-04-19T15:26:50.360452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:50.453762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 613
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct447
Distinct (%)74.7%
Missing15
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean342633.35
Minimum327365.91
Maximum357881.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-19T15:26:50.547427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327365.91
5-th percentile331547.72
Q1338568.98
median341347.1
Q3346887.51
95-th percentile354401.76
Maximum357881.33
Range30515.416
Interquartile range (IQR)8318.5233

Descriptive statistics

Standard deviation6476.447
Coefficient of variation (CV)0.018901975
Kurtosis-0.44934785
Mean342633.35
Median Absolute Deviation (MAD)4383.8635
Skewness0.18595117
Sum2.0489474 × 108
Variance41944366
MonotonicityNot monotonic
2024-04-19T15:26:50.668870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339180.112254 4
 
0.7%
347825.491056 4
 
0.7%
355759.028696 4
 
0.7%
338678.797273 4
 
0.7%
345967.428447 4
 
0.7%
346282.198324 3
 
0.5%
339774.225013 3
 
0.5%
336343.945543 3
 
0.5%
354475.482334 3
 
0.5%
346632.280824 3
 
0.5%
Other values (437) 563
91.8%
(Missing) 15
 
2.4%
ValueCountFrequency (%)
327365.913329 1
0.2%
327726.835884 1
0.2%
327994.771471 1
0.2%
328337.804499 1
0.2%
329190.900055 1
0.2%
329636.455817 1
0.2%
329898.834237 1
0.2%
330129.072571 1
0.2%
330130.823289 1
0.2%
330172.717859 1
0.2%
ValueCountFrequency (%)
357881.329153 1
 
0.2%
356429.740533 1
 
0.2%
356410.892344 1
 
0.2%
356222.826617 1
 
0.2%
356082.08851 1
 
0.2%
355939.362329 1
 
0.2%
355759.028696 4
0.7%
355737.129429 2
0.3%
355694.014923 2
0.3%
355652.896848 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct447
Distinct (%)74.7%
Missing15
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean262638.44
Minimum240452.6
Maximum274053.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-19T15:26:50.837818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240452.6
5-th percentile254399.13
Q1260062.85
median262893.4
Q3265548.82
95-th percentile271678.35
Maximum274053.96
Range33601.362
Interquartile range (IQR)5485.968

Descriptive statistics

Standard deviation5615.6703
Coefficient of variation (CV)0.021381753
Kurtosis2.8596342
Mean262638.44
Median Absolute Deviation (MAD)2761.1494
Skewness-1.0711072
Sum1.5705779 × 108
Variance31535753
MonotonicityNot monotonic
2024-04-19T15:26:50.973877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
271678.347299 4
 
0.7%
267365.201948 4
 
0.7%
264357.768252 4
 
0.7%
260540.364298 4
 
0.7%
268444.938565 4
 
0.7%
262132.399592 3
 
0.5%
260039.727157 3
 
0.5%
262554.743801 3
 
0.5%
261425.68943 3
 
0.5%
267334.638981 3
 
0.5%
Other values (437) 563
91.8%
(Missing) 15
 
2.4%
ValueCountFrequency (%)
240452.59556 1
 
0.2%
240457.763653 1
 
0.2%
240757.761547 1
 
0.2%
241081.183945 1
 
0.2%
244195.0 1
 
0.2%
244299.117529 1
 
0.2%
244347.936405 1
 
0.2%
244568.221075 1
 
0.2%
244666.651946 3
0.5%
244694.686828 1
 
0.2%
ValueCountFrequency (%)
274053.957157 1
0.2%
273590.429552 1
0.2%
273485.891451 2
0.3%
273428.028289 1
0.2%
273396.782286 1
0.2%
273119.6033 2
0.3%
273102.354233 1
0.2%
272935.034957 1
0.2%
272735.67566 1
0.2%
272706.306988 2
0.3%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
기타식품판매업
612 
<NA>
 
1

Length

Max length7
Median length7
Mean length6.995106
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 612
99.8%
<NA> 1
 
0.2%

Length

2024-04-19T15:26:51.110531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:51.202673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 612
99.8%
na 1
 
0.2%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
612 
0
 
1

Length

Max length4
Median length4
Mean length3.995106
Min length1

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> 612
99.8%
0 1
 
0.2%

Length

2024-04-19T15:26:51.307086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:51.399852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 612
99.8%
0 1
 
0.2%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
612 
0
 
1

Length

Max length4
Median length4
Mean length3.995106
Min length1

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> 612
99.8%
0 1
 
0.2%

Length

2024-04-19T15:26:51.496775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:51.591162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 612
99.8%
0 1
 
0.2%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing613
Missing (%)100.0%
Memory size5.5 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing613
Missing (%)100.0%
Memory size5.5 KiB

급수시설구분명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
389 
상수도전용
223 
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length17
Median length4
Mean length4.3849918
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 389
63.5%
상수도전용 223
36.4%
상수도(음용)지하수(주방용)겸용 1
 
0.2%

Length

2024-04-19T15:26:51.697096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:51.840682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 389
63.5%
상수도전용 223
36.4%
상수도(음용)지하수(주방용)겸용 1
 
0.2%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing613
Missing (%)100.0%
Memory size5.5 KiB

본사종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
0
468 
<NA>
143 
80
 
1
5
 
1

Length

Max length4
Median length1
Mean length1.7014682
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 468
76.3%
<NA> 143
 
23.3%
80 1
 
0.2%
5 1
 
0.2%

Length

2024-04-19T15:26:51.967984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:52.077347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 468
76.3%
na 143
 
23.3%
80 1
 
0.2%
5 1
 
0.2%

공장사무직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)1.5%
Missing143
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean0.28723404
Minimum0
Maximum80
Zeros440
Zeros (%)71.8%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-19T15:26:52.535157image/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 deviation3.7308783
Coefficient of variation (CV)12.988984
Kurtosis447.06764
Mean0.28723404
Median Absolute Deviation (MAD)0
Skewness20.912125
Sum135
Variance13.919453
MonotonicityNot monotonic
2024-04-19T15:26:52.676250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 440
71.8%
1 15
 
2.4%
2 9
 
1.5%
3 3
 
0.5%
80 1
 
0.2%
8 1
 
0.2%
5 1
 
0.2%
(Missing) 143
 
23.3%
ValueCountFrequency (%)
0 440
71.8%
1 15
 
2.4%
2 9
 
1.5%
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
 
1.5%
1 15
 
2.4%
0 440
71.8%

공장판매직종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)3.4%
Missing143
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean0.76808511
Minimum0
Maximum46
Zeros429
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-19T15:26:52.802940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.585603
Coefficient of variation (CV)4.6682365
Kurtosis71.24859
Mean0.76808511
Median Absolute Deviation (MAD)0
Skewness7.4124226
Sum361
Variance12.856549
MonotonicityNot monotonic
2024-04-19T15:26:52.905389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 429
70.0%
5 6
 
1.0%
1 5
 
0.8%
3 4
 
0.7%
15 3
 
0.5%
4 3
 
0.5%
12 3
 
0.5%
2 3
 
0.5%
7 3
 
0.5%
20 2
 
0.3%
Other values (6) 9
 
1.5%
(Missing) 143
 
23.3%
ValueCountFrequency (%)
0 429
70.0%
1 5
 
0.8%
2 3
 
0.5%
3 4
 
0.7%
4 3
 
0.5%
5 6
 
1.0%
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%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
0
466 
<NA>
143 
3
 
1
80
 
1
6
 
1

Length

Max length4
Median length1
Mean length1.7014682
Min length1

Unique

Unique4 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 466
76.0%
<NA> 143
 
23.3%
3 1
 
0.2%
80 1
 
0.2%
6 1
 
0.2%
2 1
 
0.2%

Length

2024-04-19T15:26:53.020925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:53.146667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 466
76.0%
na 143
 
23.3%
3 1
 
0.2%
80 1
 
0.2%
6 1
 
0.2%
2 1
 
0.2%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
412 
자가
118 
임대
83 

Length

Max length4
Median length4
Mean length3.3442088
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 412
67.2%
자가 118
 
19.2%
임대 83
 
13.5%

Length

2024-04-19T15:26:53.283231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:53.422276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 412
67.2%
자가 118
 
19.2%
임대 83
 
13.5%

보증액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
609 
0
 
3
40000000
 
1

Length

Max length8
Median length4
Mean length3.9918434
Min length1

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> 609
99.3%
0 3
 
0.5%
40000000 1
 
0.2%

Length

2024-04-19T15:26:53.538343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:53.643238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 609
99.3%
0 3
 
0.5%
40000000 1
 
0.2%

월세액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
609 
0
 
3
1000000
 
1

Length

Max length7
Median length4
Mean length3.9902121
Min length1

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> 609
99.3%
0 3
 
0.5%
1000000 1
 
0.2%

Length

2024-04-19T15:26:53.754242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:53.856814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 609
99.3%
0 3
 
0.5%
1000000 1
 
0.2%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size1.3 KiB
False
612 
(Missing)
 
1
ValueCountFrequency (%)
False 612
99.8%
(Missing) 1
 
0.2%
2024-04-19T15:26:53.938401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct58
Distinct (%)9.5%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean46.288954
Minimum0
Maximum15160
Zeros551
Zeros (%)89.9%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-19T15:26:54.071084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation634.44037
Coefficient of variation (CV)13.706086
Kurtosis530.53802
Mean46.288954
Median Absolute Deviation (MAD)0
Skewness22.458866
Sum28328.84
Variance402514.58
MonotonicityNot monotonic
2024-04-19T15:26:54.240968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 551
89.9%
13.2 2
 
0.3%
3.3 2
 
0.3%
30.0 2
 
0.3%
10.54 2
 
0.3%
20.3 1
 
0.2%
8.75 1
 
0.2%
20.0 1
 
0.2%
13.8 1
 
0.2%
127.92 1
 
0.2%
Other values (48) 48
 
7.8%
ValueCountFrequency (%)
0.0 551
89.9%
1.7 1
 
0.2%
3.0 1
 
0.2%
3.3 2
 
0.3%
5.0 1
 
0.2%
6.6 1
 
0.2%
7.4 1
 
0.2%
8.75 1
 
0.2%
9.44 1
 
0.2%
9.9 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%
643.0 1
0.2%
630.0 1
0.2%
613.45 1
0.2%
495.0 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing613
Missing (%)100.0%
Memory size5.5 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing613
Missing (%)100.0%
Memory size5.5 KiB

홈페이지
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
612 
14
 
1

Length

Max length4
Median length4
Mean length3.9967374
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> 612
99.8%
14 1
 
0.2%

Length

2024-04-19T15:26:54.386124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:26:54.497400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 612
99.8%
14 1
 
0.2%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01식품판매업(기타)07_22_13_P34100003410000-114-2017-0000220171115<NA>3폐업2폐업20191112<NA><NA><NA>053 2521008472.00700850대구광역시 중구 수창동 0050-0010번지 지상1층대구광역시 중구 달성로26길 76 (수창동, 지상1층)41920대백마트수창점20191112143722U2019-11-14 02:40:00.0기타식품판매업343168.533559265032.267651기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N3.0<NA><NA><NA>
12식품판매업(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)41936동아백화점 쇼핑점20210319153327U2021-03-21 02:40:00.0기타식품판매업343705.561002264056.630949기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
23식품판매업(기타)07_22_13_P34100003410000-114-2013-0000120130103<NA>3폐업2폐업20200406<NA><NA><NA>053 2534789450.00700421대구광역시 중구 동인동1가 0071번지 지상1층대구광역시 중구 공평로 104 (동인동1가, 지상1층)41911마트 프라임20200406102628U2020-04-08 02:40:00.0기타식품판매업344559.806795264847.026012기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
34식품판매업(기타)07_22_13_P34100003410000-114-2001-0000120010409<NA>3폐업2폐업20060427<NA><NA><NA>053 2559500653.40700750대구광역시 중구 대신동 0115-370번지 서문시장2지구지하서편,2(지하1층)<NA><NA>벨마트서문점20050118000000I2018-08-31 23:59:59.0기타식품판매업<NA><NA>기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0210<NA><NA><NA>N0.0<NA><NA><NA>
45식품판매업(기타)07_22_13_P34100003410000-114-1990-0000319900531<NA>3폐업2폐업20160803<NA><NA><NA>053 42312341,010.86700092대구광역시 중구 동성로2가 0174번지 대구백화점 지하1층대구광역시 중구 동성로 30, 지하1층 (동성로2가, 대구백화점)41938(주)대구백화점20120201160440I2018-08-31 23:59:59.0기타식품판매업344066.98467264414.299416기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
56식품판매업(기타)07_22_13_P34100003410000-114-1990-0000119900512<NA>3폐업2폐업20121106<NA><NA><NA>053 4222111947.10700180대구광역시 중구 동문동 0020-0004번지대구광역시 중구 경상감영길 171 (동문동)41912동아백화점20120201160304I2018-08-31 23:59:59.0기타식품판매업344148.352033264812.35373기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
67식품판매업(기타)07_22_13_P34100003410000-114-2019-0000120190702<NA>3폐업2폐업20200612<NA><NA><NA><NA>1,398.34700092대구광역시 중구 동성로2가 0166-0001번지 대구백화점 지하1층대구광역시 중구 동성로 30, 대구백화점 지하1층 (동성로2가)41938삐에로쑈핑대구백화점20200612101618U2020-06-14 02:40:00.0기타식품판매업344047.979265264405.128696기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
78식품판매업(기타)07_22_13_P34100003410000-114-2020-0000120201207<NA>1영업/정상1영업<NA><NA><NA><NA>053 4272228<NA>700320대구광역시 중구 대신동 2106 대신센트럴자이 303동 B101호대구광역시 중구 달구벌대로 1955, 303동 B101호 (대신동, 대신센트럴자이)41929홈마트20201207164559I2020-12-09 00:23:07.0기타식품판매업342424.00132263905.367548기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
89식품판매업(기타)07_22_13_P34100003410000-114-2015-0000120150327<NA>1영업/정상1영업<NA><NA><NA><NA>053 4282002412.30700807대구광역시 중구 남산동 2501-0001번지대구광역시 중구 남산로 24 (남산동)41972그린할인마트20171124110132I2018-08-31 23:59:59.0기타식품판매업342921.893599263215.087336기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N3.3<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 3006번지 반월당효성해링턴플레이스 301동 지하2층대구광역시 중구 중앙대로66길 20 (남산동, 반월당효성해링턴플레이스 301동 지하2층)41961(주)서원유통 탑마트 대구점20181205172520U2018-12-07 02:40:00.0기타식품판매업343902.080116263530.809939기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
603604식품판매업(기타)07_22_13_P34800003480000-114-2020-0000120200409<NA>1영업/정상1영업<NA><NA><NA><NA><NA>783.90<NA>대구광역시 달성군 현풍읍 하리 246-4번지대구광역시 달성군 현풍읍 현풍중앙로 40, 1층43005영도우리마트 현풍점20200619115757U2020-06-21 02:40:00.0기타식품판매업330717.496695244666.651946기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
604605식품판매업(기타)07_22_13_P34800003480000-114-2019-0000720191231<NA>1영업/정상1영업<NA><NA><NA><NA><NA>745.67711813대구광역시 달성군 다사읍 서재리 139-1 외 1필지 가동 1층대구광역시 달성군 다사읍 서재로 144, 가동 1층42925(주)이마트에브리데이 대구서재점20210416151826U2021-04-18 02:40:00.0기타식품판매업335186.778586265044.867747기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
605606식품판매업(기타)07_22_13_P34800003480000-114-2019-0000620191219<NA>1영업/정상1영업<NA><NA><NA><NA><NA>2,375.97<NA>대구광역시 달성군 유가읍 금리 1145-7번지 1층(일부)대구광역시 달성군 유가읍 테크노순환로4길 8, 1층43024케이스식자재마트20200327113555U2020-03-29 02:40:00.0기타식품판매업<NA><NA>기타식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
606607식품판매업(기타)07_22_13_P34800003480000-114-2019-0000320190422<NA>1영업/정상1영업<NA><NA><NA><NA>053 614 4804<NA>711891대구광역시 달성군 구지면 창리 429-8번지 구지농협대구광역시 달성군 구지면 창리로11길 24, 구지농협 1층43010구지농협 하나로마트20190422165243I2019-04-24 02:20:29.0기타식품판매업327726.835884240757.761547기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
607608식품판매업(기타)07_22_13_P34800003480000-114-2019-0000520190527<NA>1영업/정상1영업<NA><NA><NA><NA>053 6145151500.00<NA>대구광역시 달성군 유가읍 봉리 619번지 엠스퀘어플러스대구광역시 달성군 유가읍 테크노상업로 120, 1~2층 104~106,135~137호43018이마트 노브랜드 유가점20200219103842U2020-02-21 02:40:00.0기타식품판매업332317.0244698.0기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
608609식품판매업(기타)07_22_13_P34800003480000-114-2019-0000220190418<NA>1영업/정상1영업<NA><NA><NA><NA>053 475 6900<NA><NA>대구광역시 달성군 현풍읍 중리 509-7번지대구광역시 달성군 현풍읍 테크노대로 54, 1층 109~117호43020경상유통20190430140016U2019-05-02 02:40:00.0기타식품판매업331433.0244195.0기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
609610식품판매업(기타)07_22_13_P34800003480000-114-2019-0000120190108<NA>1영업/정상1영업<NA><NA><NA><NA>053 614 8949<NA>711852대구광역시 달성군 논공읍 남리 1078번지대구광역시 달성군 논공읍 논공로9길 4242978드림마트20190108105615I2019-01-10 02:20:44.0기타식품판매업330130.823289248836.764563기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
610611식품판매업(기타)07_22_13_P34800003480000-114-2017-0000320170809<NA>1영업/정상1영업<NA><NA><NA><NA>053 611 7766700.00<NA>대구광역시 달성군 유가읍 봉리 599-1 110호대구광역시 달성군 유가읍 테크노북로6길 22, 1층 110호 (BIG TOWER)43015(주)영도우리마트 유가점20200825143415U2020-08-27 02:40:00.0기타식품판매업332076.0244860.0기타식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>자가<NA><NA>N50.0<NA><NA><NA>
611612식품판매업(기타)07_22_13_P34800003480000-114-2017-0000220170619<NA>1영업/정상1영업<NA><NA><NA><NA>053 626 8288884.52711837대구광역시 달성군 화원읍 천내리 82번지대구광역시 달성군 화원읍 화원로1길 45-6, 1층42955오케이식자재마트20170619153415I2018-08-31 23:59:59.0기타식품판매업335345.042644257032.636665기타식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>자가<NA><NA>N10.54<NA><NA><NA>
612613식품판매업(기타)07_22_13_P34800003480000-114-2017-0000120170328<NA>1영업/정상1영업<NA><NA><NA><NA>053 616 1122433.90711872대구광역시 달성군 현풍면 부리 446-3번지대구광역시 달성군 현풍면 현풍중앙로20길 24, 1층42999드림마트(현풍점)20170328141350I2018-08-31 23:59:59.0기타식품판매업330537.268826245127.56016기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N33.9<NA><NA><NA>