Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells117235
Missing cells (%)24.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory413.0 B

Variable types

Numeric13
Categorical18
Text5
Unsupported9
DateTime1
Boolean1

Dataset

Description6270000_대구광역시_07_24_05_P_휴게음식점_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000075508&dataSetDetailId=DDI_0000075561&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
데이터갱신구분 is highly imbalanced (53.4%)Imbalance
등급구분명 is highly imbalanced (59.7%)Imbalance
급수시설구분명 is highly imbalanced (65.4%)Imbalance
본사종업원수 is highly imbalanced (98.1%)Imbalance
공장사무직종업원수 is highly imbalanced (98.1%)Imbalance
공장판매직종업원수 is highly imbalanced (98.1%)Imbalance
공장생산직종업원수 is highly imbalanced (98.1%)Imbalance
보증액 is highly imbalanced (98.1%)Imbalance
월세액 is highly imbalanced (98.1%)Imbalance
다중이용업소여부 is highly imbalanced (76.9%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 4062 (40.6%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 4338 (43.4%) missing valuesMissing
소재지면적 has 337 (3.4%) missing valuesMissing
소재지우편번호 has 115 (1.1%) missing valuesMissing
도로명전체주소 has 3050 (30.5%) missing valuesMissing
도로명우편번호 has 3127 (31.3%) missing valuesMissing
좌표정보(X) has 260 (2.6%) missing valuesMissing
좌표정보(Y) has 260 (2.6%) missing valuesMissing
남성종사자수 has 6047 (60.5%) missing valuesMissing
여성종사자수 has 5627 (56.3%) missing valuesMissing
총종업원수 has 10000 (100.0%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
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
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 2852 (28.5%) zerosZeros
여성종사자수 has 2498 (25.0%) zerosZeros
시설총규모 has 397 (4.0%) zerosZeros

Reproduction

Analysis started2023-12-10 20:14:14.446721
Analysis finished2023-12-10 20:14:18.326893
Duration3.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9713.9361
Minimum2
Maximum19353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:14:18.422414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile961.95
Q14904.5
median9696
Q314591.25
95-th percentile18395.15
Maximum19353
Range19351
Interquartile range (IQR)9686.75

Descriptive statistics

Standard deviation5589.0934
Coefficient of variation (CV)0.57536856
Kurtosis-1.2007406
Mean9713.9361
Median Absolute Deviation (MAD)4847.5
Skewness-0.0017030209
Sum97139361
Variance31237965
MonotonicityNot monotonic
2023-12-11T05:14:18.673242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13321 1
 
< 0.1%
605 1
 
< 0.1%
11134 1
 
< 0.1%
9350 1
 
< 0.1%
10288 1
 
< 0.1%
13896 1
 
< 0.1%
4579 1
 
< 0.1%
11998 1
 
< 0.1%
5017 1
 
< 0.1%
6418 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
17 1
< 0.1%
18 1
< 0.1%
20 1
< 0.1%
ValueCountFrequency (%)
19353 1
< 0.1%
19351 1
< 0.1%
19350 1
< 0.1%
19343 1
< 0.1%
19342 1
< 0.1%
19341 1
< 0.1%
19339 1
< 0.1%
19337 1
< 0.1%
19336 1
< 0.1%
19333 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
휴게음식점
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 10000
100.0%

Length

2023-12-11T05:14:18.911207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:19.049723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 10000
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_24_05_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_24_05_P
2nd row07_24_05_P
3rd row07_24_05_P
4th row07_24_05_P
5th row07_24_05_P

Common Values

ValueCountFrequency (%)
07_24_05_P 10000
100.0%

Length

2023-12-11T05:14:19.204189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:19.348748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_24_05_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445237
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:14:19.465956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation22965.116
Coefficient of variation (CV)0.0066657581
Kurtosis-1.294203
Mean3445237
Median Absolute Deviation (MAD)20000
Skewness-0.2527756
Sum3.445237 × 1010
Variance5.2739657 × 108
MonotonicityNot monotonic
2023-12-11T05:14:19.651323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1836
18.4%
3450000 1678
16.8%
3460000 1646
16.5%
3410000 1591
15.9%
3420000 1252
12.5%
3440000 683
 
6.8%
3480000 670
 
6.7%
3430000 644
 
6.4%
ValueCountFrequency (%)
3410000 1591
15.9%
3420000 1252
12.5%
3430000 644
 
6.4%
3440000 683
 
6.8%
3450000 1678
16.8%
3460000 1646
16.5%
3470000 1836
18.4%
3480000 670
 
6.7%
ValueCountFrequency (%)
3480000 670
 
6.7%
3470000 1836
18.4%
3460000 1646
16.5%
3450000 1678
16.8%
3440000 683
 
6.8%
3430000 644
 
6.4%
3420000 1252
12.5%
3410000 1591
15.9%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T05:14:19.972752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row3460000-104-2011-00065
2nd row3450000-104-2016-00149
3rd row3440000-104-2005-00023
4th row3460000-104-2019-00081
5th row3430000-104-2001-00056
ValueCountFrequency (%)
3460000-104-2011-00065 1
 
< 0.1%
3460000-104-2007-00014 1
 
< 0.1%
3450000-104-2013-00049 1
 
< 0.1%
3450000-104-2005-00019 1
 
< 0.1%
3450000-104-2012-00104 1
 
< 0.1%
3450000-104-2018-00215 1
 
< 0.1%
3450000-104-2003-00219 1
 
< 0.1%
3460000-104-2016-00163 1
 
< 0.1%
3420000-104-2014-00105 1
 
< 0.1%
3410000-104-2015-00053 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-11T05:14:20.474429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 92616
42.1%
- 30000
 
13.6%
1 24390
 
11.1%
4 23684
 
10.8%
2 14072
 
6.4%
3 13604
 
6.2%
7 4749
 
2.2%
6 4607
 
2.1%
5 4556
 
2.1%
9 4190
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190000
86.4%
Dash Punctuation 30000
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92616
48.7%
1 24390
 
12.8%
4 23684
 
12.5%
2 14072
 
7.4%
3 13604
 
7.2%
7 4749
 
2.5%
6 4607
 
2.4%
5 4556
 
2.4%
9 4190
 
2.2%
8 3532
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 92616
42.1%
- 30000
 
13.6%
1 24390
 
11.1%
4 23684
 
10.8%
2 14072
 
6.4%
3 13604
 
6.2%
7 4749
 
2.2%
6 4607
 
2.1%
5 4556
 
2.1%
9 4190
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 92616
42.1%
- 30000
 
13.6%
1 24390
 
11.1%
4 23684
 
10.8%
2 14072
 
6.4%
3 13604
 
6.2%
7 4749
 
2.2%
6 4607
 
2.1%
5 4556
 
2.1%
9 4190
 
1.9%

인허가일자
Real number (ℝ)

Distinct4692
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20096377
Minimum19651009
Maximum20191031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:14:20.717649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19651009
5-th percentile19940411
Q120040728
median20120314
Q320161101
95-th percentile20190509
Maximum20191031
Range540022
Interquartile range (IQR)120373

Descriptive statistics

Standard deviation84837.344
Coefficient of variation (CV)0.0042215244
Kurtosis2.2932766
Mean20096377
Median Absolute Deviation (MAD)50399.5
Skewness-1.3459873
Sum2.0096377 × 1011
Variance7.1973749 × 109
MonotonicityNot monotonic
2023-12-11T05:14:20.960643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191008 33
 
0.3%
20160628 17
 
0.2%
20160629 14
 
0.1%
20110803 13
 
0.1%
20161206 13
 
0.1%
20161207 13
 
0.1%
20161004 12
 
0.1%
20190814 11
 
0.1%
20161208 11
 
0.1%
20160706 10
 
0.1%
Other values (4682) 9853
98.5%
ValueCountFrequency (%)
19651009 1
< 0.1%
19670620 1
< 0.1%
19670914 1
< 0.1%
19671007 2
< 0.1%
19671229 1
< 0.1%
19680525 1
< 0.1%
19690129 1
< 0.1%
19690319 1
< 0.1%
19700402 1
< 0.1%
19700619 1
< 0.1%
ValueCountFrequency (%)
20191031 2
 
< 0.1%
20191030 3
< 0.1%
20191029 5
0.1%
20191028 1
 
< 0.1%
20191025 2
 
< 0.1%
20191024 1
 
< 0.1%
20191023 5
0.1%
20191022 3
< 0.1%
20191021 5
0.1%
20191018 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
5938 
1
4062 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 5938
59.4%
1 4062
40.6%

Length

2023-12-11T05:14:21.146409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:21.290761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 5938
59.4%
1 4062
40.6%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
5938 
영업/정상
4062 

Length

Max length5
Median length2
Mean length3.2186
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 5938
59.4%
영업/정상 4062
40.6%

Length

2023-12-11T05:14:21.452793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:21.606413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5938
59.4%
영업/정상 4062
40.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
5938 
1
4062 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 5938
59.4%
1 4062
40.6%

Length

2023-12-11T05:14:22.004979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:22.162030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 5938
59.4%
1 4062
40.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
5938 
영업
4062 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 5938
59.4%
영업 4062
40.6%

Length

2023-12-11T05:14:22.313993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:22.462157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5938
59.4%
영업 4062
40.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct3186
Distinct (%)53.7%
Missing4062
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean20114937
Minimum19951116
Maximum20191030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:14:22.657554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19951116
5-th percentile20030228
Q120070148
median20120714
Q320161124
95-th percentile20190305
Maximum20191030
Range239914
Interquartile range (IQR)90975.25

Descriptive statistics

Standard deviation53398.769
Coefficient of variation (CV)0.0026546824
Kurtosis-1.2506259
Mean20114937
Median Absolute Deviation (MAD)49614.5
Skewness-0.24906048
Sum1.194425 × 1011
Variance2.8514285 × 109
MonotonicityNot monotonic
2023-12-11T05:14:22.888615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190321 14
 
0.1%
20170117 9
 
0.1%
20171226 9
 
0.1%
20160801 9
 
0.1%
20100201 9
 
0.1%
20181231 9
 
0.1%
20161230 8
 
0.1%
20060227 8
 
0.1%
20140123 8
 
0.1%
20030818 8
 
0.1%
Other values (3176) 5847
58.5%
(Missing) 4062
40.6%
ValueCountFrequency (%)
19951116 1
< 0.1%
19990408 1
< 0.1%
20000103 1
< 0.1%
20000302 1
< 0.1%
20000309 1
< 0.1%
20000327 1
< 0.1%
20000524 1
< 0.1%
20000620 1
< 0.1%
20000826 1
< 0.1%
20001017 1
< 0.1%
ValueCountFrequency (%)
20191030 1
 
< 0.1%
20191029 2
 
< 0.1%
20191028 4
< 0.1%
20191027 1
 
< 0.1%
20191025 2
 
< 0.1%
20191024 1
 
< 0.1%
20191022 2
 
< 0.1%
20191021 5
0.1%
20191010 2
 
< 0.1%
20191008 1
 
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지전화
Text

MISSING 

Distinct5480
Distinct (%)96.8%
Missing4338
Missing (%)43.4%
Memory size156.2 KiB
2023-12-11T05:14:23.534137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.80378
Min length3

Characters and Unicode

Total characters61171
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

Unique5368 ?
Unique (%)94.8%

Sample

1st row0537595210
2nd row053 6235272
3rd row053 5646609
4th row053 383 1233
5th row053 7522253
ValueCountFrequency (%)
053 4483
36.5%
070 112
 
0.9%
02 51
 
0.4%
742 32
 
0.3%
741 31
 
0.3%
941 27
 
0.2%
767 27
 
0.2%
744 24
 
0.2%
2452901 24
 
0.2%
792 23
 
0.2%
Other values (5441) 7455
60.7%
2023-12-11T05:14:24.372523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 9918
16.2%
3 8774
14.3%
0 8509
13.9%
6725
11.0%
2 4929
8.1%
6 4332
7.1%
7 4093
6.7%
4 3758
 
6.1%
1 3671
 
6.0%
8 3388
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54446
89.0%
Space Separator 6725
 
11.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9918
18.2%
3 8774
16.1%
0 8509
15.6%
2 4929
9.1%
6 4332
8.0%
7 4093
7.5%
4 3758
 
6.9%
1 3671
 
6.7%
8 3388
 
6.2%
9 3074
 
5.6%
Space Separator
ValueCountFrequency (%)
6725
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61171
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 9918
16.2%
3 8774
14.3%
0 8509
13.9%
6725
11.0%
2 4929
8.1%
6 4332
7.1%
7 4093
6.7%
4 3758
 
6.1%
1 3671
 
6.0%
8 3388
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61171
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 9918
16.2%
3 8774
14.3%
0 8509
13.9%
6725
11.0%
2 4929
8.1%
6 4332
7.1%
7 4093
6.7%
4 3758
 
6.1%
1 3671
 
6.0%
8 3388
 
5.5%

소재지면적
Real number (ℝ)

MISSING 

Distinct5073
Distinct (%)52.5%
Missing337
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean56.605919
Minimum0
Maximum867.19
Zeros55
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:14:24.730760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.401
Q120.855
median37.86
Q370.21
95-th percentile165
Maximum867.19
Range867.19
Interquartile range (IQR)49.355

Descriptive statistics

Standard deviation65.79148
Coefficient of variation (CV)1.1622721
Kurtosis20.821767
Mean56.605919
Median Absolute Deviation (MAD)22.04
Skewness3.7677874
Sum546983
Variance4328.5188
MonotonicityNot monotonic
2023-12-11T05:14:24.940600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.6 96
 
1.0%
1.44 80
 
0.8%
3.3 71
 
0.7%
0.0 55
 
0.5%
33.0 48
 
0.5%
12.0 41
 
0.4%
10.0 41
 
0.4%
15.0 38
 
0.4%
9.9 33
 
0.3%
36.0 32
 
0.3%
Other values (5063) 9128
91.3%
(Missing) 337
 
3.4%
ValueCountFrequency (%)
0.0 55
0.5%
0.65 1
 
< 0.1%
0.66 1
 
< 0.1%
1.0 6
 
0.1%
1.03 1
 
< 0.1%
1.2 2
 
< 0.1%
1.24 1
 
< 0.1%
1.27 1
 
< 0.1%
1.28 1
 
< 0.1%
1.4 1
 
< 0.1%
ValueCountFrequency (%)
867.19 1
< 0.1%
744.76 1
< 0.1%
636.93 1
< 0.1%
623.69 1
< 0.1%
613.0 1
< 0.1%
611.8 1
< 0.1%
610.2 1
< 0.1%
600.0 1
< 0.1%
596.39 1
< 0.1%
584.81 1
< 0.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct686
Distinct (%)6.9%
Missing115
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean704055.91
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:14:25.154679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700100
Q1701841
median703830
Q3705819
95-th percentile711813
Maximum711893
Range11883
Interquartile range (IQR)3978

Descriptive statistics

Standard deviation2851.6361
Coefficient of variation (CV)0.0040502977
Kurtosis0.841334
Mean704055.91
Median Absolute Deviation (MAD)1989
Skewness0.87314137
Sum6.9595927 × 109
Variance8131828.3
MonotonicityNot monotonic
2023-12-11T05:14:25.420066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
706170 153
 
1.5%
700092 131
 
1.3%
700320 112
 
1.1%
700082 111
 
1.1%
702886 91
 
0.9%
702845 89
 
0.9%
711852 87
 
0.9%
700411 83
 
0.8%
704080 81
 
0.8%
704060 79
 
0.8%
Other values (676) 8868
88.7%
(Missing) 115
 
1.1%
ValueCountFrequency (%)
700010 14
 
0.1%
700020 10
 
0.1%
700030 2
 
< 0.1%
700040 39
 
0.4%
700050 2
 
< 0.1%
700060 42
 
0.4%
700070 79
0.8%
700081 4
 
< 0.1%
700082 111
1.1%
700091 8
 
0.1%
ValueCountFrequency (%)
711893 2
 
< 0.1%
711892 1
 
< 0.1%
711891 32
0.3%
711874 25
0.2%
711873 21
0.2%
711872 14
0.1%
711871 2
 
< 0.1%
711864 15
0.1%
711863 6
 
0.1%
711862 4
 
< 0.1%

소재지전체주소
Text

Distinct8548
Distinct (%)85.6%
Missing12
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T05:14:26.023959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length53
Mean length26.473068
Min length17

Characters and Unicode

Total characters264413
Distinct characters470
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7746 ?
Unique (%)77.6%

Sample

1st row대구광역시 수성구 수성동1가 671-63번지
2nd row대구광역시 북구 구암동 826-1번지
3rd row대구광역시 남구 대명동 1821-15번지
4th row대구광역시 수성구 범어동 198-2번지 범어골드타워 1층
5th row대구광역시 서구 이현동 42-68번지
ValueCountFrequency (%)
대구광역시 9988
 
21.0%
달서구 1834
 
3.9%
북구 1675
 
3.5%
수성구 1643
 
3.5%
중구 1592
 
3.3%
동구 1250
 
2.6%
남구 684
 
1.4%
달성군 668
 
1.4%
서구 643
 
1.4%
지상1층 627
 
1.3%
Other values (8682) 26935
56.7%
2023-12-11T05:14:26.908279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47012
17.8%
구 19757
 
7.5%
1 13726
 
5.2%
지 12469
 
4.7%
동 11691
 
4.4%
대 11663
 
4.4%
0 10996
 
4.2%
시 10345
 
3.9%
역 10057
 
3.8%
번 10016
 
3.8%
Other values (460) 106681
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148475
56.2%
Decimal Number 58067
 
22.0%
Space Separator 47012
 
17.8%
Dash Punctuation 7880
 
3.0%
Open Punctuation 924
 
0.3%
Close Punctuation 909
 
0.3%
Other Punctuation 677
 
0.3%
Uppercase Letter 419
 
0.2%
Math Symbol 38
 
< 0.1%
Lowercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 19757
13.3%
지 12469
 
8.4%
동 11691
 
7.9%
대 11663
 
7.9%
시 10345
 
7.0%
역 10057
 
6.8%
번 10016
 
6.7%
광 10007
 
6.7%
성 3561
 
2.4%
서 2916
 
2.0%
Other values (411) 45993
31.0%
Uppercase Letter
ValueCountFrequency (%)
A 115
27.4%
B 60
14.3%
S 34
 
8.1%
C 31
 
7.4%
M 27
 
6.4%
R 26
 
6.2%
T 20
 
4.8%
E 20
 
4.8%
K 15
 
3.6%
G 15
 
3.6%
Other values (15) 56
13.4%
Decimal Number
ValueCountFrequency (%)
1 13726
23.6%
0 10996
18.9%
2 7065
12.2%
3 5029
 
8.7%
5 4341
 
7.5%
4 3945
 
6.8%
6 3442
 
5.9%
7 3283
 
5.7%
8 3166
 
5.5%
9 3074
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 623
92.0%
. 42
 
6.2%
/ 10
 
1.5%
: 1
 
0.1%
@ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 9
75.0%
a 2
 
16.7%
h 1
 
8.3%
Math Symbol
ValueCountFrequency (%)
~ 36
94.7%
+ 2
 
5.3%
Space Separator
ValueCountFrequency (%)
47012
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7880
100.0%
Open Punctuation
ValueCountFrequency (%)
( 924
100.0%
Close Punctuation
ValueCountFrequency (%)
) 909
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148474
56.2%
Common 115507
43.7%
Latin 431
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 19757
13.3%
지 12469
 
8.4%
동 11691
 
7.9%
대 11663
 
7.9%
시 10345
 
7.0%
역 10057
 
6.8%
번 10016
 
6.7%
광 10007
 
6.7%
성 3561
 
2.4%
서 2916
 
2.0%
Other values (410) 45992
31.0%
Latin
ValueCountFrequency (%)
A 115
26.7%
B 60
13.9%
S 34
 
7.9%
C 31
 
7.2%
M 27
 
6.3%
R 26
 
6.0%
T 20
 
4.6%
E 20
 
4.6%
K 15
 
3.5%
G 15
 
3.5%
Other values (18) 68
15.8%
Common
ValueCountFrequency (%)
47012
40.7%
1 13726
 
11.9%
0 10996
 
9.5%
- 7880
 
6.8%
2 7065
 
6.1%
3 5029
 
4.4%
5 4341
 
3.8%
4 3945
 
3.4%
6 3442
 
3.0%
7 3283
 
2.8%
Other values (11) 8788
 
7.6%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148473
56.2%
ASCII 115938
43.8%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47012
40.5%
1 13726
 
11.8%
0 10996
 
9.5%
- 7880
 
6.8%
2 7065
 
6.1%
3 5029
 
4.3%
5 4341
 
3.7%
4 3945
 
3.4%
6 3442
 
3.0%
7 3283
 
2.8%
Other values (39) 9219
 
8.0%
Hangul
ValueCountFrequency (%)
구 19757
13.3%
지 12469
 
8.4%
동 11691
 
7.9%
대 11663
 
7.9%
시 10345
 
7.0%
역 10057
 
6.8%
번 10016
 
6.7%
광 10007
 
6.7%
성 3561
 
2.4%
서 2916
 
2.0%
Other values (409) 45991
31.0%
CJK
ValueCountFrequency (%)
內 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct6328
Distinct (%)91.1%
Missing3050
Missing (%)30.5%
Memory size156.2 KiB
2023-12-11T05:14:27.520365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length54
Mean length30.562014
Min length20

Characters and Unicode

Total characters212406
Distinct characters501
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6008 ?
Unique (%)86.4%

Sample

1st row대구광역시 수성구 달구벌대로456길 47 (수성동1가)
2nd row대구광역시 북구 구암로 264-1, 1층 (구암동)
3rd row대구광역시 남구 중앙대로47길 64-1 (대명동)
4th row대구광역시 수성구 달구벌대로 2486, 범어골드타워 1층 (범어동)
5th row대구광역시 북구 동북로 131 (산격동,105동106호)
ValueCountFrequency (%)
대구광역시 6950
 
16.3%
1층 2148
 
5.1%
달서구 1312
 
3.1%
북구 1154
 
2.7%
수성구 1146
 
2.7%
중구 1001
 
2.4%
동구 931
 
2.2%
달구벌대로 497
 
1.2%
남구 490
 
1.2%
달성군 488
 
1.1%
Other values (4918) 26417
62.1%
2023-12-11T05:14:28.423326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35591
 
16.8%
구 14919
 
7.0%
1 10069
 
4.7%
대 9846
 
4.6%
동 9510
 
4.5%
시 7271
 
3.4%
역 7088
 
3.3%
광 6976
 
3.3%
로 6934
 
3.3%
( 6839
 
3.2%
Other values (491) 97363
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122021
57.4%
Space Separator 35591
 
16.8%
Decimal Number 33320
 
15.7%
Open Punctuation 6839
 
3.2%
Close Punctuation 6839
 
3.2%
Other Punctuation 6135
 
2.9%
Dash Punctuation 1154
 
0.5%
Uppercase Letter 393
 
0.2%
Math Symbol 78
 
< 0.1%
Lowercase Letter 35
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 14919
 
12.2%
대 9846
 
8.1%
동 9510
 
7.8%
시 7271
 
6.0%
역 7088
 
5.8%
광 6976
 
5.7%
로 6934
 
5.7%
층 4087
 
3.3%
성 2984
 
2.4%
달 2683
 
2.2%
Other values (437) 49723
40.7%
Uppercase Letter
ValueCountFrequency (%)
A 111
28.2%
B 61
15.5%
S 31
 
7.9%
C 29
 
7.4%
M 24
 
6.1%
R 20
 
5.1%
E 19
 
4.8%
K 14
 
3.6%
G 14
 
3.6%
T 13
 
3.3%
Other values (15) 57
14.5%
Decimal Number
ValueCountFrequency (%)
1 10069
30.2%
2 5049
15.2%
3 3366
 
10.1%
0 3104
 
9.3%
4 2553
 
7.7%
5 2309
 
6.9%
6 1984
 
6.0%
7 1803
 
5.4%
9 1555
 
4.7%
8 1528
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 16
45.7%
l 4
 
11.4%
p 4
 
11.4%
t 3
 
8.6%
h 2
 
5.7%
s 2
 
5.7%
a 2
 
5.7%
w 2
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 6106
99.5%
. 26
 
0.4%
: 2
 
< 0.1%
\ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 77
98.7%
+ 1
 
1.3%
Space Separator
ValueCountFrequency (%)
35591
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6839
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6839
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1154
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122021
57.4%
Common 89957
42.4%
Latin 428
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 14919
 
12.2%
대 9846
 
8.1%
동 9510
 
7.8%
시 7271
 
6.0%
역 7088
 
5.8%
광 6976
 
5.7%
로 6934
 
5.7%
층 4087
 
3.3%
성 2984
 
2.4%
달 2683
 
2.2%
Other values (437) 49723
40.7%
Latin
ValueCountFrequency (%)
A 111
25.9%
B 61
14.3%
S 31
 
7.2%
C 29
 
6.8%
M 24
 
5.6%
R 20
 
4.7%
E 19
 
4.4%
e 16
 
3.7%
K 14
 
3.3%
G 14
 
3.3%
Other values (23) 89
20.8%
Common
ValueCountFrequency (%)
35591
39.6%
1 10069
 
11.2%
( 6839
 
7.6%
) 6839
 
7.6%
, 6106
 
6.8%
2 5049
 
5.6%
3 3366
 
3.7%
0 3104
 
3.5%
4 2553
 
2.8%
5 2309
 
2.6%
Other values (11) 8132
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122020
57.4%
ASCII 90385
42.6%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35591
39.4%
1 10069
 
11.1%
( 6839
 
7.6%
) 6839
 
7.6%
, 6106
 
6.8%
2 5049
 
5.6%
3 3366
 
3.7%
0 3104
 
3.4%
4 2553
 
2.8%
5 2309
 
2.6%
Other values (44) 8560
 
9.5%
Hangul
ValueCountFrequency (%)
구 14919
 
12.2%
대 9846
 
8.1%
동 9510
 
7.8%
시 7271
 
6.0%
역 7088
 
5.8%
광 6976
 
5.7%
로 6934
 
5.7%
층 4087
 
3.3%
성 2984
 
2.4%
달 2683
 
2.2%
Other values (436) 49722
40.7%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1189
Distinct (%)17.3%
Missing3127
Missing (%)31.3%
Infinite0
Infinite (%)0.0%
Mean42040.074
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:14:28.734821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41102
Q141559
median41971
Q342608
95-th percentile42930
Maximum43024
Range2024
Interquartile range (IQR)1049

Descriptive statistics

Standard deviation569.20411
Coefficient of variation (CV)0.01353956
Kurtosis-1.0746185
Mean42040.074
Median Absolute Deviation (MAD)476
Skewness-0.041742098
Sum2.8894143 × 108
Variance323993.32
MonotonicityNot monotonic
2023-12-11T05:14:28.997374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41936 121
 
1.2%
41229 90
 
0.9%
41581 65
 
0.7%
41953 60
 
0.6%
41938 60
 
0.6%
41937 59
 
0.6%
41942 56
 
0.6%
41026 52
 
0.5%
41544 52
 
0.5%
41515 44
 
0.4%
Other values (1179) 6214
62.1%
(Missing) 3127
31.3%
ValueCountFrequency (%)
41000 13
0.1%
41001 17
0.2%
41002 2
 
< 0.1%
41005 12
0.1%
41006 1
 
< 0.1%
41007 11
0.1%
41008 2
 
< 0.1%
41009 5
 
0.1%
41016 2
 
< 0.1%
41017 2
 
< 0.1%
ValueCountFrequency (%)
43024 1
 
< 0.1%
43023 2
 
< 0.1%
43022 1
 
< 0.1%
43018 29
0.3%
43017 16
0.2%
43016 1
 
< 0.1%
43014 13
0.1%
43013 3
 
< 0.1%
43010 7
 
0.1%
43009 7
 
0.1%

사업장명
Text

Distinct8723
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T05:14:29.402658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length6.6795
Min length1

Characters and Unicode

Total characters66795
Distinct characters1026
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8024 ?
Unique (%)80.2%

Sample

1st row커피코코(coffee coco)
2nd row카페포인트
3rd row영민분식
4th row목련양과점
5th row옥산다방
ValueCountFrequency (%)
coffee 58
 
0.5%
커피 50
 
0.4%
세븐일레븐 49
 
0.4%
카페 40
 
0.3%
씨유 36
 
0.3%
gs25 33
 
0.3%
떡볶이 25
 
0.2%
김밥파는사람들 24
 
0.2%
투썸플레이스 24
 
0.2%
카페큐브 20
 
0.2%
Other values (9144) 11397
96.9%
2023-12-11T05:14:30.085792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2240
 
3.4%
스 1887
 
2.8%
1760
 
2.6%
피 1663
 
2.5%
이 1451
 
2.2%
다 1344
 
2.0%
커 1322
 
2.0%
( 1294
 
1.9%
) 1293
 
1.9%
방 1266
 
1.9%
Other values (1016) 51275
76.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55997
83.8%
Lowercase Letter 2717
 
4.1%
Uppercase Letter 2469
 
3.7%
Space Separator 1760
 
2.6%
Open Punctuation 1294
 
1.9%
Close Punctuation 1293
 
1.9%
Decimal Number 1031
 
1.5%
Other Punctuation 207
 
0.3%
Dash Punctuation 20
 
< 0.1%
Letter Number 2
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2240
 
4.0%
스 1887
 
3.4%
피 1663
 
3.0%
이 1451
 
2.6%
다 1344
 
2.4%
커 1322
 
2.4%
방 1266
 
2.3%
대 1158
 
2.1%
리 1101
 
2.0%
구 990
 
1.8%
Other values (935) 41575
74.2%
Uppercase Letter
ValueCountFrequency (%)
C 326
13.2%
S 254
 
10.3%
G 193
 
7.8%
O 160
 
6.5%
E 159
 
6.4%
P 158
 
6.4%
F 135
 
5.5%
A 131
 
5.3%
T 108
 
4.4%
D 90
 
3.6%
Other values (16) 755
30.6%
Lowercase Letter
ValueCountFrequency (%)
e 483
17.8%
o 308
11.3%
f 252
 
9.3%
a 251
 
9.2%
c 162
 
6.0%
n 142
 
5.2%
i 129
 
4.7%
t 117
 
4.3%
r 108
 
4.0%
s 101
 
3.7%
Other values (15) 664
24.4%
Other Punctuation
ValueCountFrequency (%)
& 63
30.4%
. 62
30.0%
, 31
15.0%
' 30
14.5%
/ 8
 
3.9%
# 4
 
1.9%
· 3
 
1.4%
% 2
 
1.0%
! 2
 
1.0%
; 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 306
29.7%
5 241
23.4%
1 131
12.7%
0 78
 
7.6%
3 74
 
7.2%
9 52
 
5.0%
8 39
 
3.8%
7 39
 
3.8%
6 36
 
3.5%
4 35
 
3.4%
Modifier Symbol
ValueCountFrequency (%)
` 1
50.0%
˚ 1
50.0%
Space Separator
ValueCountFrequency (%)
1760
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1294
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55991
83.8%
Common 5608
 
8.4%
Latin 5188
 
7.8%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2240
 
4.0%
스 1887
 
3.4%
피 1663
 
3.0%
이 1451
 
2.6%
다 1344
 
2.4%
커 1322
 
2.4%
방 1266
 
2.3%
대 1158
 
2.1%
리 1101
 
2.0%
구 990
 
1.8%
Other values (929) 41569
74.2%
Latin
ValueCountFrequency (%)
e 483
 
9.3%
C 326
 
6.3%
o 308
 
5.9%
S 254
 
4.9%
f 252
 
4.9%
a 251
 
4.8%
G 193
 
3.7%
c 162
 
3.1%
O 160
 
3.1%
E 159
 
3.1%
Other values (42) 2640
50.9%
Common
ValueCountFrequency (%)
1760
31.4%
( 1294
23.1%
) 1293
23.1%
2 306
 
5.5%
5 241
 
4.3%
1 131
 
2.3%
0 78
 
1.4%
3 74
 
1.3%
& 63
 
1.1%
. 62
 
1.1%
Other values (18) 306
 
5.5%
Han
ValueCountFrequency (%)
人 2
25.0%
愛 1
12.5%
茶 1
12.5%
美 1
12.5%
微 1
12.5%
味 1
12.5%
麵 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55988
83.8%
ASCII 10789
 
16.2%
CJK 7
 
< 0.1%
None 6
 
< 0.1%
Number Forms 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2240
 
4.0%
스 1887
 
3.4%
피 1663
 
3.0%
이 1451
 
2.6%
다 1344
 
2.4%
커 1322
 
2.4%
방 1266
 
2.3%
대 1158
 
2.1%
리 1101
 
2.0%
구 990
 
1.8%
Other values (927) 41566
74.2%
ASCII
ValueCountFrequency (%)
1760
16.3%
( 1294
 
12.0%
) 1293
 
12.0%
e 483
 
4.5%
C 326
 
3.0%
o 308
 
2.9%
2 306
 
2.8%
S 254
 
2.4%
f 252
 
2.3%
a 251
 
2.3%
Other values (66) 4262
39.5%
None
ValueCountFrequency (%)
· 3
50.0%
㈜ 2
33.3%
＆ 1
 
16.7%
CJK
ValueCountFrequency (%)
人 2
28.6%
愛 1
14.3%
美 1
14.3%
微 1
14.3%
味 1
14.3%
麵 1
14.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅋ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct8703
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0129805 × 1013
Minimum2.001081 × 1013
Maximum2.0191031 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:14:30.330911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001081 × 1013
5-th percentile2.0020916 × 1013
Q12.0090311 × 1013
median2.0150619 × 1013
Q32.0180611 × 1013
95-th percentile2.0190812 × 1013
Maximum2.0191031 × 1013
Range1.8022119 × 1011
Interquartile range (IQR)9.0300307 × 1010

Descriptive statistics

Standard deviation5.8400491 × 1010
Coefficient of variation (CV)0.0029011951
Kurtosis-0.93741257
Mean2.0129805 × 1013
Median Absolute Deviation (MAD)3.9495027 × 1010
Skewness-0.6965769
Sum2.0129805 × 1017
Variance3.4106174 × 1021
MonotonicityNot monotonic
2023-12-11T05:14:30.568005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020919000000 56
 
0.6%
20041008000000 52
 
0.5%
20031216000000 42
 
0.4%
20020918000000 41
 
0.4%
20020916000000 28
 
0.3%
20020723000000 23
 
0.2%
20061215000000 21
 
0.2%
20010817000000 20
 
0.2%
20031215000000 19
 
0.2%
20020415000000 18
 
0.2%
Other values (8693) 9680
96.8%
ValueCountFrequency (%)
20010810000000 7
 
0.1%
20010811000000 4
 
< 0.1%
20010816000000 6
 
0.1%
20010817000000 20
0.2%
20010828000000 1
 
< 0.1%
20011010000000 1
 
< 0.1%
20011015000000 1
 
< 0.1%
20011030000000 5
 
0.1%
20011031000000 3
 
< 0.1%
20011101000000 6
 
0.1%
ValueCountFrequency (%)
20191031190727 1
< 0.1%
20191031190056 1
< 0.1%
20191031171329 1
< 0.1%
20191031165803 1
< 0.1%
20191031153941 1
< 0.1%
20191031144618 1
< 0.1%
20191031140759 1
< 0.1%
20191031115919 1
< 0.1%
20191031103128 1
< 0.1%
20191030170842 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
7925 
U
2073 
D
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7925
79.2%
U 2073
 
20.7%
D 2
 
< 0.1%

Length

2023-12-11T05:14:30.766620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:30.908293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7925
79.2%
u 2073
 
20.7%
d 2
 
< 0.1%

데이터갱신일자
Date

Distinct367
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2019-11-02 02:40:00
2023-12-11T05:14:31.090903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:14:31.339104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
커피숍
3034 
일반조리판매
2341 
다방
1536 
기타 휴게음식점
1419 
패스트푸드
643 
Other values (14)
1027 

Length

Max length8
Median length6
Mean length4.4081
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row커피숍
2nd row커피숍
3rd row일반조리판매
4th row커피숍
5th row다방

Common Values

ValueCountFrequency (%)
커피숍 3034
30.3%
일반조리판매 2341
23.4%
다방 1536
15.4%
기타 휴게음식점 1419
14.2%
패스트푸드 643
 
6.4%
편의점 383
 
3.8%
과자점 373
 
3.7%
백화점 79
 
0.8%
전통찻집 61
 
0.6%
푸드트럭 46
 
0.5%
Other values (9) 85
 
0.9%

Length

2023-12-11T05:14:31.575122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 3034
26.6%
일반조리판매 2341
20.5%
다방 1536
13.5%
기타 1419
12.4%
휴게음식점 1419
12.4%
패스트푸드 643
 
5.6%
편의점 383
 
3.4%
과자점 373
 
3.3%
백화점 79
 
0.7%
전통찻집 61
 
0.5%
Other values (10) 131
 
1.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6719
Distinct (%)69.0%
Missing260
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean343186.95
Minimum323721.07
Maximum358199.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:14:31.775881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum323721.07
5-th percentile334266.52
Q1339860.13
median343685.56
Q3346300.52
95-th percentile353507.35
Maximum358199.77
Range34478.702
Interquartile range (IQR)6440.3827

Descriptive statistics

Standard deviation5265.1183
Coefficient of variation (CV)0.015341837
Kurtosis0.47209696
Mean343186.95
Median Absolute Deviation (MAD)3250.5388
Skewness-0.067905826
Sum3.3426409 × 109
Variance27721471
MonotonicityNot monotonic
2023-12-11T05:14:31.994815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343588.735555 99
 
1.0%
345032.238221 92
 
0.9%
342704.914455 75
 
0.8%
345549.11017 70
 
0.7%
344047.164924 66
 
0.7%
347037.24197 56
 
0.6%
339047.793379 52
 
0.5%
343705.561002 42
 
0.4%
344047.979265 39
 
0.4%
337916.079938 34
 
0.3%
Other values (6709) 9115
91.1%
(Missing) 260
 
2.6%
ValueCountFrequency (%)
323721.070046 1
 
< 0.1%
326246.26374 1
 
< 0.1%
326338.194836 2
< 0.1%
326560.519598 1
 
< 0.1%
326635.578062 2
< 0.1%
326703.14585 1
 
< 0.1%
326755.194077 4
< 0.1%
327400.31546 1
 
< 0.1%
327505.240362 1
 
< 0.1%
327614.903879 1
 
< 0.1%
ValueCountFrequency (%)
358199.771938 1
< 0.1%
358030.599214 1
< 0.1%
358014.83602 1
< 0.1%
357933.237729 1
< 0.1%
357908.12325 1
< 0.1%
357034.785261 1
< 0.1%
356984.242048 2
< 0.1%
356881.723508 1
< 0.1%
356822.595646 1
< 0.1%
356698.367083 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6718
Distinct (%)69.0%
Missing260
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean263348.44
Minimum237928.83
Maximum279132.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:14:32.225456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237928.83
5-th percentile257387.05
Q1261453.74
median263689.98
Q3265315.93
95-th percentile271226.42
Maximum279132.48
Range41203.645
Interquartile range (IQR)3862.1923

Descriptive statistics

Standard deviation4622.0449
Coefficient of variation (CV)0.017551063
Kurtosis5.1888054
Mean263348.44
Median Absolute Deviation (MAD)1932.524
Skewness-1.1200305
Sum2.5650138 × 109
Variance21363299
MonotonicityNot monotonic
2023-12-11T05:14:32.808231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264119.01075 99
 
1.0%
262949.871621 92
 
0.9%
264369.662438 75
 
0.8%
268620.845678 70
 
0.7%
265132.987974 66
 
0.7%
265407.404337 56
 
0.6%
258741.90218 52
 
0.5%
264056.630949 42
 
0.4%
264405.128696 39
 
0.4%
262111.061698 34
 
0.3%
Other values (6708) 9115
91.1%
(Missing) 260
 
2.6%
ValueCountFrequency (%)
237928.832291 1
< 0.1%
239017.56085 1
< 0.1%
239523.935659 1
< 0.1%
240173.546686 1
< 0.1%
240270.873923 1
< 0.1%
240358.722944 2
< 0.1%
240365.71605 1
< 0.1%
240454.72997 1
< 0.1%
240473.571874 1
< 0.1%
240531.541371 1
< 0.1%
ValueCountFrequency (%)
279132.477672 1
< 0.1%
279130.236916 1
< 0.1%
278665.856239 1
< 0.1%
278382.282921 1
< 0.1%
278097.131092 1
< 0.1%
278080.761551 1
< 0.1%
278073.623286 1
< 0.1%
277985.364429 1
< 0.1%
277961.111222 1
< 0.1%
277858.080468 1
< 0.1%

위생업태명
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
커피숍
3022 
일반조리판매
2342 
다방
1551 
기타 휴게음식점
1455 
패스트푸드
643 
Other values (14)
987 

Length

Max length8
Median length6
Mean length4.4249
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row커피숍
2nd row커피숍
3rd row일반조리판매
4th row커피숍
5th row다방

Common Values

ValueCountFrequency (%)
커피숍 3022
30.2%
일반조리판매 2342
23.4%
다방 1551
15.5%
기타 휴게음식점 1455
14.5%
패스트푸드 643
 
6.4%
과자점 373
 
3.7%
편의점 343
 
3.4%
백화점 79
 
0.8%
전통찻집 61
 
0.6%
푸드트럭 47
 
0.5%
Other values (9) 84
 
0.8%

Length

2023-12-11T05:14:33.029497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 3022
26.4%
일반조리판매 2342
20.4%
다방 1551
13.5%
기타 1455
12.7%
휴게음식점 1455
12.7%
패스트푸드 643
 
5.6%
과자점 373
 
3.3%
편의점 343
 
3.0%
백화점 79
 
0.7%
전통찻집 61
 
0.5%
Other values (10) 131
 
1.1%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)0.4%
Missing6047
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean0.40500885
Minimum0
Maximum26
Zeros2852
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:14:33.205009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum26
Range26
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0585803
Coefficient of variation (CV)2.6137215
Kurtosis208.94654
Mean0.40500885
Median Absolute Deviation (MAD)0
Skewness10.934595
Sum1601
Variance1.1205923
MonotonicityNot monotonic
2023-12-11T05:14:33.395669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 2852
28.5%
1 841
 
8.4%
2 184
 
1.8%
3 40
 
0.4%
4 11
 
0.1%
5 8
 
0.1%
7 5
 
0.1%
10 3
 
< 0.1%
6 3
 
< 0.1%
26 1
 
< 0.1%
Other values (5) 5
 
0.1%
(Missing) 6047
60.5%
ValueCountFrequency (%)
0 2852
28.5%
1 841
 
8.4%
2 184
 
1.8%
3 40
 
0.4%
4 11
 
0.1%
5 8
 
0.1%
6 3
 
< 0.1%
7 5
 
0.1%
8 1
 
< 0.1%
10 3
 
< 0.1%
ValueCountFrequency (%)
26 1
 
< 0.1%
25 1
 
< 0.1%
20 1
 
< 0.1%
15 1
 
< 0.1%
11 1
 
< 0.1%
10 3
 
< 0.1%
8 1
 
< 0.1%
7 5
0.1%
6 3
 
< 0.1%
5 8
0.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)0.5%
Missing5627
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean0.78458724
Minimum0
Maximum42
Zeros2498
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:14:33.579547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum42
Range42
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5941827
Coefficient of variation (CV)2.0318743
Kurtosis155.9971
Mean0.78458724
Median Absolute Deviation (MAD)0
Skewness8.9608692
Sum3431
Variance2.5414184
MonotonicityNot monotonic
2023-12-11T05:14:33.746139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2498
25.0%
1 1064
 
10.6%
2 547
 
5.5%
3 132
 
1.3%
4 60
 
0.6%
5 24
 
0.2%
6 10
 
0.1%
7 10
 
0.1%
10 8
 
0.1%
8 6
 
0.1%
Other values (10) 14
 
0.1%
(Missing) 5627
56.3%
ValueCountFrequency (%)
0 2498
25.0%
1 1064
10.6%
2 547
 
5.5%
3 132
 
1.3%
4 60
 
0.6%
5 24
 
0.2%
6 10
 
0.1%
7 10
 
0.1%
8 6
 
0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
42 1
 
< 0.1%
27 1
 
< 0.1%
25 1
 
< 0.1%
21 1
 
< 0.1%
20 2
 
< 0.1%
16 1
 
< 0.1%
15 3
 
< 0.1%
14 1
 
< 0.1%
11 1
 
< 0.1%
10 8
0.1%

영업장주변구분명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4294 
기타
3429 
주택가주변
1181 
아파트지역
616 
유흥업소밀집지역
 
245
Other values (3)
 
235

Length

Max length8
Median length7
Mean length3.6845
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4294
42.9%
기타 3429
34.3%
주택가주변 1181
 
11.8%
아파트지역 616
 
6.2%
유흥업소밀집지역 245
 
2.5%
학교정화(상대) 144
 
1.4%
학교정화(절대) 77
 
0.8%
결혼예식장주변 14
 
0.1%

Length

2023-12-11T05:14:33.910658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:34.087092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4294
42.9%
기타 3429
34.3%
주택가주변 1181
 
11.8%
아파트지역 616
 
6.2%
유흥업소밀집지역 245
 
2.5%
학교정화(상대 144
 
1.4%
학교정화(절대 77
 
0.8%
결혼예식장주변 14
 
0.1%

등급구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6767 
자율
2656 
기타
 
571
을
 
3
지도
 
1
Other values (2)
 
2

Length

Max length4
Median length4
Mean length3.3531
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6767
67.7%
자율 2656
 
26.6%
기타 571
 
5.7%
을 3
 
< 0.1%
지도 1
 
< 0.1%
우수 1
 
< 0.1%
관리 1
 
< 0.1%

Length

2023-12-11T05:14:34.283757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:34.441343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6767
67.7%
자율 2656
 
26.6%
기타 571
 
5.7%
을 3
 
< 0.1%
지도 1
 
< 0.1%
우수 1
 
< 0.1%
관리 1
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
7781 
<NA>
2171 
지하수전용
 
25
간이상수도
 
15
상수도(음용)지하수(주방용)겸용
 
8

Length

Max length17
Median length5
Mean length4.7925
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 7781
77.8%
<NA> 2171
 
21.7%
지하수전용 25
 
0.2%
간이상수도 15
 
0.1%
상수도(음용)지하수(주방용)겸용 8
 
0.1%

Length

2023-12-11T05:14:34.619684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:34.776573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 7781
77.8%
na 2171
 
21.7%
지하수전용 25
 
0.2%
간이상수도 15
 
0.1%
상수도(음용)지하수(주방용)겸용 8
 
0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9982 
0
 
18

Length

Max length4
Median length4
Mean length3.9946
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9982
99.8%
0 18
 
0.2%

Length

2023-12-11T05:14:34.949207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:35.102845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9982
99.8%
0 18
 
0.2%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9982 
0
 
18

Length

Max length4
Median length4
Mean length3.9946
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9982
99.8%
0 18
 
0.2%

Length

2023-12-11T05:14:35.258767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:35.413254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9982
99.8%
0 18
 
0.2%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9982 
0
 
18

Length

Max length4
Median length4
Mean length3.9946
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9982
99.8%
0 18
 
0.2%

Length

2023-12-11T05:14:35.564808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:35.702667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9982
99.8%
0 18
 
0.2%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9982 
0
 
18

Length

Max length4
Median length4
Mean length3.9946
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9982
99.8%
0 18
 
0.2%

Length

2023-12-11T05:14:35.849375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:35.999749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9982
99.8%
0 18
 
0.2%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9982 
0
 
18

Length

Max length4
Median length4
Mean length3.9946
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9982
99.8%
0 18
 
0.2%

Length

2023-12-11T05:14:36.150634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:36.302857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9982
99.8%
0 18
 
0.2%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9982 
0
 
18

Length

Max length4
Median length4
Mean length3.9946
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9982
99.8%
0 18
 
0.2%

Length

2023-12-11T05:14:36.457079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:14:36.631601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9982
99.8%
0 18
 
0.2%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9625 
True
 
375
ValueCountFrequency (%)
False 9625
96.2%
True 375
 
3.8%
2023-12-11T05:14:36.760965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct5076
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.701632
Minimum0
Maximum867.19
Zeros397
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:14:36.933335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.798
Q118.8
median36.1
Q368.42
95-th percentile160.233
Maximum867.19
Range867.19
Interquartile range (IQR)49.62

Descriptive statistics

Standard deviation65.481399
Coefficient of variation (CV)1.1970648
Kurtosis20.908845
Mean54.701632
Median Absolute Deviation (MAD)22.535
Skewness3.7582259
Sum547016.32
Variance4287.8136
MonotonicityNot monotonic
2023-12-11T05:14:37.147480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 397
 
4.0%
6.6 96
 
1.0%
1.44 79
 
0.8%
3.3 71
 
0.7%
33.0 48
 
0.5%
10.0 41
 
0.4%
12.0 41
 
0.4%
15.0 38
 
0.4%
9.9 33
 
0.3%
36.0 32
 
0.3%
Other values (5066) 9124
91.2%
ValueCountFrequency (%)
0.0 397
4.0%
0.65 1
 
< 0.1%
0.66 1
 
< 0.1%
1.0 6
 
0.1%
1.03 1
 
< 0.1%
1.2 2
 
< 0.1%
1.24 1
 
< 0.1%
1.27 1
 
< 0.1%
1.28 1
 
< 0.1%
1.4 1
 
< 0.1%
ValueCountFrequency (%)
867.19 1
< 0.1%
744.76 1
< 0.1%
636.93 1
< 0.1%
623.69 1
< 0.1%
613.0 1
< 0.1%
611.8 1
< 0.1%
610.2 1
< 0.1%
600.0 1
< 0.1%
596.39 1
< 0.1%
584.81 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
1332013321휴게음식점07_24_05_P34600003460000-104-2011-0006520110512<NA>1영업/정상1영업<NA><NA><NA><NA>053759521047.19706831대구광역시 수성구 수성동1가 671-63번지대구광역시 수성구 달구벌대로456길 47 (수성동1가)42128커피코코(coffee coco)20120516124304I2018-08-31 23:59:59.0커피숍345460.291569263156.803358커피숍<NA><NA>아파트지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N47.19<NA><NA><NA>
86908691휴게음식점07_24_05_P34500003450000-104-2016-0014920160722<NA>1영업/정상1영업<NA><NA><NA><NA><NA>108.42702805대구광역시 북구 구암동 826-1번지대구광역시 북구 구암로 264-1, 1층 (구암동)41472카페포인트20190528155930U2019-05-30 02:40:00.0커피숍341291.166537271632.978647커피숍11기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N108.42<NA><NA><NA>
79207921휴게음식점07_24_05_P34400003440000-104-2005-0002320050421<NA>1영업/정상1영업<NA><NA><NA><NA>053 623527228.76705817대구광역시 남구 대명동 1821-15번지대구광역시 남구 중앙대로47길 64-1 (대명동)42409영민분식20111109154301I2018-08-31 23:59:59.0일반조리판매343287.86283262758.240465일반조리판매00기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N28.76<NA><NA><NA>
1325013251휴게음식점07_24_05_P34600003460000-104-2019-0008120190417<NA>3폐업2폐업20190829<NA><NA><NA><NA>26.40706821대구광역시 수성구 범어동 198-2번지 범어골드타워 1층대구광역시 수성구 달구벌대로 2486, 범어골드타워 1층 (범어동)42087목련양과점20190829143310U2019-08-31 02:40:00.0커피숍347570.164311263269.533203커피숍<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N26.4<NA><NA><NA>
61866187휴게음식점07_24_05_P34300003430000-104-2001-0005620010502<NA>3폐업2폐업20070125<NA><NA><NA>053 564660968.35703830대구광역시 서구 이현동 42-68번지<NA><NA>옥산다방20051226000000I2018-08-31 23:59:59.0다방339144.031775265313.044197다방00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N68.35<NA><NA><NA>
1059710598휴게음식점07_24_05_P34500003450000-104-2011-0001820110225<NA>3폐업2폐업20140217<NA><NA><NA>053 383 123337.10702845대구광역시 북구 산격동 1838번지 105동106호대구광역시 북구 동북로 131 (산격동,105동106호)41519본아베띠20110330184352I2018-08-31 23:59:59.0커피숍345111.321868268011.47059커피숍<NA>1아파트지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N37.1<NA><NA><NA>
53555356휴게음식점07_24_05_P34200003420000-104-1991-0000819910411<NA>1영업/정상1영업<NA><NA><NA><NA>053 752225366.23701828대구광역시 동구 신천동 390-7번지대구광역시 동구 동부로 168 (신천동)41245은승다방20070302000000I2018-08-31 23:59:59.0다방347200.167128265354.115504다방00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N66.23<NA><NA><NA>
1741717418휴게음식점07_24_05_P34700003470000-104-2018-0006820180329<NA>1영업/정상1영업<NA><NA><NA><NA><NA>23.10704923대구광역시 달서구 용산동 230-17번지대구광역시 달서구 달구벌대로291길 100, 장애인체육관동 1층 (용산동)42635올리브20180424185548I2018-08-31 23:59:59.0커피숍337705.232586262521.308163커피숍<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N23.1<NA><NA><NA>
1684816849휴게음식점07_24_05_P34700003470000-104-2005-0009220050830<NA>1영업/정상1영업<NA><NA><NA><NA>053 580822026.07704923대구광역시 달서구 용산동 230-11번지 홈플러스 대구성서점 (지하2층)대구광역시 달서구 달구벌대로 1467, 지하2층 (용산동, 홈플러스 대구성서점)42637석관동떡볶이20190412135345U2019-04-14 02:40:00.0일반조리판매337916.079938262111.061698일반조리판매00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N26.07<NA><NA><NA>
30613062휴게음식점07_24_05_P34100003410000-104-2019-0010820190620<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.30700412대구광역시 중구 삼덕동2가 0284-0001번지 지상1층대구광역시 중구 달구벌대로443길 13, 지상1층 (삼덕동2가)41948지에스25삼덕중앙점20190708141833U2019-07-10 02:40:00.0일반조리판매344898.75383263790.398021일반조리판매<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N3.3<NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
585586휴게음식점07_24_05_P34100003410000-104-2015-0004520150416<NA>3폐업2폐업20150529<NA><NA><NA><NA>11.00700082대구광역시 중구 계산동2가 0200번지 지하1층대구광역시 중구 달구벌대로 2077 (계산동2가, 지하1층)41936재니스위트하우스20150422114444I2018-08-31 23:59:59.0백화점343588.735555264119.01075백화점<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N11.0<NA><NA><NA>
1237812379휴게음식점07_24_05_P34600003460000-104-2001-0005820010226<NA>3폐업2폐업20050316<NA><NA><NA>782939222.00706813대구광역시 수성구 범물동 1292-3번지<NA><NA>진명다방20040219000000I2018-08-31 23:59:59.0다방348791.726789258817.854872다방00아파트지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N22.0<NA><NA><NA>
1603416035휴게음식점07_24_05_P34700003470000-104-2002-0009020021022<NA>3폐업2폐업20050422<NA><NA><NA><NA>3.68704905대구광역시 달서구 감삼동 521번지 외30필지(지하3층)<NA><NA>미니멜츠구슬아이스크림20021216000000I2018-08-31 23:59:59.0기타 휴게음식점338560.694883261656.240623기타 휴게음식점00아파트지역자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N3.68<NA><NA><NA>
1208112082휴게음식점07_24_05_P34600003460000-104-2002-0008620021115<NA>3폐업2폐업20130117<NA><NA><NA><NA>17.70706170대구광역시 수성구 신매동 568-6번지대구광역시 수성구 고산로18길 21 (신매동)42274브레마 솔레20091204150315I2018-08-31 23:59:59.0다방354132.323361261269.457232다방00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N17.7<NA><NA><NA>
37103711휴게음식점07_24_05_P34200003420000-104-1998-0000719981014<NA>3폐업2폐업20031114<NA><NA><NA>053 964070491.63701808대구광역시 동구 신기동 547-8번지<NA><NA>수정다방20030915000000I2018-08-31 23:59:59.0다방353564.161727264679.523389다방00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N91.63<NA><NA><NA>
71117112휴게음식점07_24_05_P34400003440000-104-2009-0001420090429<NA>3폐업2폐업20140804<NA><NA><NA><NA>148.48705818대구광역시 남구 대명동 1794-24번지 외 2필지대구광역시 남구 명덕로40길 89-5 (대명동)42410세렌디피티20111111142038I2018-08-31 23:59:59.0커피숍343579.41134262602.777239커피숍<NA><NA>주택가주변<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N148.48<NA><NA><NA>
1509815099휴게음식점07_24_05_P34700003470000-104-2002-0004620020625<NA>3폐업2폐업20120316<NA><NA><NA>053 641 728390.00704840대구광역시 달서구 대곡동 1015-5번지 (지상1층)대구광역시 달서구 화암로73길 12 (대곡동,(지상1층))42767쌍어각20100618111420I2018-08-31 23:59:59.0다방337257.10231257304.226837다방00<NA>자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N90.0<NA><NA><NA>
15771578휴게음식점07_24_05_P34100003410000-104-2002-0001820020401<NA>3폐업2폐업20080929<NA><NA><NA>053 424564985.42700413대구광역시 중구 삼덕동3가 0132-0011번지 ,2(지하1층)<NA><NA>장미다방20060425000000I2018-08-31 23:59:59.0다방345255.927779264088.89938다방03기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N85.42<NA><NA><NA>
976977휴게음식점07_24_05_P34100003410000-104-2013-0001920130313<NA>3폐업2폐업20170207<NA><NA><NA><NA>31.00700809대구광역시 중구 대봉동 0019-0029번지 지상1층대구광역시 중구 달구벌대로440길 19 (대봉동, 지상1층)41951선낫곱쟁이만한 커피가게20130403160938I2018-08-31 23:59:59.0커피숍344823.696549263612.019193커피숍<NA>1주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N31.0<NA><NA><NA>
42864287휴게음식점07_24_05_P34200003420000-104-2009-0004620090817<NA>3폐업2폐업20090916<NA><NA><NA><NA>39.60701868대구광역시 동구 신서동 521-39번지 216호<NA><NA>라라커피숍20090908171820I2018-08-31 23:59:59.0커피숍355857.357218264781.410702커피숍<NA><NA>아파트지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N39.6<NA><NA><NA>