Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells101034
Missing cells (%)21.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory413.0 B

Variable types

Numeric12
Categorical19
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description22년10월_6270000_대구광역시_07_24_04_P_일반음식점
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096919&dataSetDetailId=DDI_0000096983&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
등급구분명 is highly imbalanced (50.2%)Imbalance
급수시설구분명 is highly imbalanced (67.3%)Imbalance
다중이용업소여부 is highly imbalanced (78.2%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 3606 (36.1%) 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 2790 (27.9%) missing valuesMissing
소재지면적 has 176 (1.8%) missing valuesMissing
소재지우편번호 has 170 (1.7%) missing valuesMissing
도로명전체주소 has 3576 (35.8%) missing valuesMissing
도로명우편번호 has 3663 (36.6%) missing valuesMissing
좌표정보(X) has 418 (4.2%) missing valuesMissing
좌표정보(Y) has 418 (4.2%) missing valuesMissing
남성종사자수 has 3186 (31.9%) missing valuesMissing
여성종사자수 has 3029 (30.3%) 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
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 5605 (56.0%) zerosZeros
여성종사자수 has 5337 (53.4%) zerosZeros
시설총규모 has 214 (2.1%) zerosZeros

Reproduction

Analysis started2024-04-21 08:54:55.907058
Analysis finished2024-04-21 08:54:59.842461
Duration3.94 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%
Mean42930.403
Minimum2
Maximum85456
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T17:55:00.038048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4384.35
Q121729.75
median43103.5
Q363898.5
95-th percentile81373.2
Maximum85456
Range85454
Interquartile range (IQR)42168.75

Descriptive statistics

Standard deviation24606.017
Coefficient of variation (CV)0.57316064
Kurtosis-1.1870293
Mean42930.403
Median Absolute Deviation (MAD)21082
Skewness-0.0088127197
Sum4.2930403 × 108
Variance6.0545607 × 108
MonotonicityNot monotonic
2024-04-21T17:55:00.453368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38053 1
 
< 0.1%
35797 1
 
< 0.1%
39213 1
 
< 0.1%
40123 1
 
< 0.1%
4061 1
 
< 0.1%
22063 1
 
< 0.1%
47760 1
 
< 0.1%
26825 1
 
< 0.1%
42217 1
 
< 0.1%
73761 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
12 1
< 0.1%
41 1
< 0.1%
52 1
< 0.1%
55 1
< 0.1%
56 1
< 0.1%
63 1
< 0.1%
66 1
< 0.1%
74 1
< 0.1%
75 1
< 0.1%
ValueCountFrequency (%)
85456 1
< 0.1%
85443 1
< 0.1%
85438 1
< 0.1%
85434 1
< 0.1%
85433 1
< 0.1%
85427 1
< 0.1%
85425 1
< 0.1%
85416 1
< 0.1%
85414 1
< 0.1%
85413 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

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

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 10000
100.0%

Length

2024-04-21T17:55:00.852375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:01.139158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 10000
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_24_04_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_24_04_P
2nd row07_24_04_P
3rd row07_24_04_P
4th row07_24_04_P
5th row07_24_04_P

Common Values

ValueCountFrequency (%)
07_24_04_P 10000
100.0%

Length

2024-04-21T17:55:01.451235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:01.739247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_24_04_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3447735
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T17:55:02.004161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation21722.499
Coefficient of variation (CV)0.0063005129
Kurtosis-1.1471265
Mean3447735
Median Absolute Deviation (MAD)20000
Skewness-0.30862182
Sum3.447735 × 1010
Variance4.7186696 × 108
MonotonicityNot monotonic
2024-04-21T17:55:02.371832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2022
20.2%
3450000 1639
16.4%
3460000 1601
16.0%
3420000 1284
12.8%
3410000 934
9.3%
3430000 918
9.2%
3440000 823
8.2%
3480000 779
 
7.8%
ValueCountFrequency (%)
3410000 934
9.3%
3420000 1284
12.8%
3430000 918
9.2%
3440000 823
8.2%
3450000 1639
16.4%
3460000 1601
16.0%
3470000 2022
20.2%
3480000 779
 
7.8%
ValueCountFrequency (%)
3480000 779
 
7.8%
3470000 2022
20.2%
3460000 1601
16.0%
3450000 1639
16.4%
3440000 823
8.2%
3430000 918
9.2%
3420000 1284
12.8%
3410000 934
9.3%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T17:55:03.093916image/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 row3450000-101-2020-00221
2nd row3480000-101-2001-00129
3rd row3460000-101-2006-00218
4th row3420000-101-2009-00046
5th row3470000-101-2017-00290
ValueCountFrequency (%)
3450000-101-2020-00221 1
 
< 0.1%
3430000-101-2022-00025 1
 
< 0.1%
3410000-101-1986-00006 1
 
< 0.1%
3420000-101-2005-00009 1
 
< 0.1%
3450000-101-2002-00847 1
 
< 0.1%
3450000-101-2003-01239 1
 
< 0.1%
3410000-101-2005-00052 1
 
< 0.1%
3430000-101-2001-00182 1
 
< 0.1%
3450000-101-2001-01427 1
 
< 0.1%
3450000-101-2002-00489 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-21T17:55:03.959181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88997
40.5%
1 32017
 
14.6%
- 30000
 
13.6%
2 16024
 
7.3%
3 14910
 
6.8%
4 14243
 
6.5%
9 5631
 
2.6%
7 5007
 
2.3%
6 4656
 
2.1%
5 4623
 
2.1%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88997
46.8%
1 32017
 
16.9%
2 16024
 
8.4%
3 14910
 
7.8%
4 14243
 
7.5%
9 5631
 
3.0%
7 5007
 
2.6%
6 4656
 
2.5%
5 4623
 
2.4%
8 3892
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 88997
40.5%
1 32017
 
14.6%
- 30000
 
13.6%
2 16024
 
7.3%
3 14910
 
6.8%
4 14243
 
6.5%
9 5631
 
2.6%
7 5007
 
2.3%
6 4656
 
2.1%
5 4623
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 88997
40.5%
1 32017
 
14.6%
- 30000
 
13.6%
2 16024
 
7.3%
3 14910
 
6.8%
4 14243
 
6.5%
9 5631
 
2.6%
7 5007
 
2.3%
6 4656
 
2.1%
5 4623
 
2.1%

인허가일자
Real number (ℝ)

Distinct5505
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20069826
Minimum19650312
Maximum20221031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T17:55:04.199167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19650312
5-th percentile19930906
Q120010526
median20060725
Q320150423
95-th percentile20210325
Maximum20221031
Range570719
Interquartile range (IQR)139897

Descriptive statistics

Standard deviation89949.141
Coefficient of variation (CV)0.0044818098
Kurtosis-0.031398554
Mean20069826
Median Absolute Deviation (MAD)60503
Skewness-0.29107703
Sum2.0069826 × 1011
Variance8.0908481 × 109
MonotonicityNot monotonic
2024-04-21T17:55:04.447788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000215 21
 
0.2%
20000214 21
 
0.2%
20000217 19
 
0.2%
20000209 18
 
0.2%
20000211 16
 
0.2%
20000222 15
 
0.1%
20000128 14
 
0.1%
20000221 13
 
0.1%
20000216 12
 
0.1%
20000121 10
 
0.1%
Other values (5495) 9841
98.4%
ValueCountFrequency (%)
19650312 1
< 0.1%
19690113 1
< 0.1%
19710307 1
< 0.1%
19720525 1
< 0.1%
19721213 1
< 0.1%
19730111 1
< 0.1%
19730508 1
< 0.1%
19730806 1
< 0.1%
19740316 1
< 0.1%
19740921 2
< 0.1%
ValueCountFrequency (%)
20221031 1
< 0.1%
20221028 2
< 0.1%
20221027 1
< 0.1%
20221026 1
< 0.1%
20221025 1
< 0.1%
20221021 2
< 0.1%
20221020 2
< 0.1%
20221019 1
< 0.1%
20221018 2
< 0.1%
20221017 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
6394 
1
3606 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 6394
63.9%
1 3606
36.1%

Length

2024-04-21T17:55:04.671038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:04.831425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6394
63.9%
1 3606
36.1%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6394 
영업/정상
3606 

Length

Max length5
Median length2
Mean length3.0818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6394
63.9%
영업/정상 3606
36.1%

Length

2024-04-21T17:55:05.013380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:05.188083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6394
63.9%
영업/정상 3606
36.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6394 
1
3606 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 6394
63.9%
1 3606
36.1%

Length

2024-04-21T17:55:05.359238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:05.519020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6394
63.9%
1 3606
36.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6394 
영업
3606 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6394
63.9%
영업 3606
36.1%

Length

2024-04-21T17:55:05.688967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:05.849063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6394
63.9%
영업 3606
36.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct3571
Distinct (%)55.8%
Missing3606
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean20111919
Minimum19990705
Maximum20221031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T17:55:06.045572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990705
5-th percentile20021230
Q120051229
median20101104
Q320170512
95-th percentile20211101
Maximum20221031
Range230326
Interquartile range (IQR)119283

Descriptive statistics

Standard deviation62941.493
Coefficient of variation (CV)0.0031295618
Kurtosis-1.2952208
Mean20111919
Median Absolute Deviation (MAD)50782.5
Skewness0.21310578
Sum1.2859561 × 1011
Variance3.9616316 × 109
MonotonicityNot monotonic
2024-04-21T17:55:06.294305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021216 28
 
0.3%
20080407 23
 
0.2%
20071030 13
 
0.1%
20051108 10
 
0.1%
20180908 9
 
0.1%
20130306 8
 
0.1%
20220710 8
 
0.1%
20180723 8
 
0.1%
20070220 8
 
0.1%
20080507 8
 
0.1%
Other values (3561) 6271
62.7%
(Missing) 3606
36.1%
ValueCountFrequency (%)
19990705 1
< 0.1%
20000124 1
< 0.1%
20000130 1
< 0.1%
20000207 1
< 0.1%
20000210 1
< 0.1%
20000215 1
< 0.1%
20000219 1
< 0.1%
20000320 1
< 0.1%
20000325 1
< 0.1%
20000407 1
< 0.1%
ValueCountFrequency (%)
20221031 1
 
< 0.1%
20221027 1
 
< 0.1%
20221025 1
 
< 0.1%
20221021 1
 
< 0.1%
20221020 2
< 0.1%
20221019 1
 
< 0.1%
20221018 4
< 0.1%
20221017 1
 
< 0.1%
20221014 1
 
< 0.1%
20221013 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 

Distinct7164
Distinct (%)99.4%
Missing2790
Missing (%)27.9%
Memory size156.2 KiB
2024-04-21T17:55:07.454661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.61914
Min length3

Characters and Unicode

Total characters76564
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

Unique7121 ?
Unique (%)98.8%

Sample

1st row053 581 9945
2nd row7417887
3rd row962 3033
4th row053 9581531
5th row053 3560709
ValueCountFrequency (%)
053 5566
37.6%
611 33
 
0.2%
070 30
 
0.2%
622 28
 
0.2%
766 26
 
0.2%
741 26
 
0.2%
588 24
 
0.2%
621 23
 
0.2%
767 22
 
0.1%
311 21
 
0.1%
Other values (7034) 9022
60.9%
2024-04-21T17:55:08.817389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 13145
17.2%
3 11259
14.7%
0 9935
13.0%
7750
10.1%
2 5866
7.7%
6 5777
7.5%
7 5087
 
6.6%
9 4740
 
6.2%
4 4451
 
5.8%
1 4278
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 68814
89.9%
Space Separator 7750
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 13145
19.1%
3 11259
16.4%
0 9935
14.4%
2 5866
8.5%
6 5777
8.4%
7 5087
 
7.4%
9 4740
 
6.9%
4 4451
 
6.5%
1 4278
 
6.2%
8 4276
 
6.2%
Space Separator
ValueCountFrequency (%)
7750
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 76564
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 13145
17.2%
3 11259
14.7%
0 9935
13.0%
7750
10.1%
2 5866
7.7%
6 5777
7.5%
7 5087
 
6.6%
9 4740
 
6.2%
4 4451
 
5.8%
1 4278
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 76564
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 13145
17.2%
3 11259
14.7%
0 9935
13.0%
7750
10.1%
2 5866
7.7%
6 5777
7.5%
7 5087
 
6.6%
9 4740
 
6.2%
4 4451
 
5.8%
1 4278
 
5.6%

소재지면적
Text

MISSING 

Distinct5533
Distinct (%)56.3%
Missing176
Missing (%)1.8%
Memory size156.2 KiB
2024-04-21T17:55:10.135566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.1585912
Min length3

Characters and Unicode

Total characters50678
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

Unique3786 ?
Unique (%)38.5%

Sample

1st row76.00
2nd row40.66
3rd row112.30
4th row46.89
5th row25.30
ValueCountFrequency (%)
00 132
 
1.3%
30.00 33
 
0.3%
33.00 32
 
0.3%
36.00 30
 
0.3%
26.40 28
 
0.3%
40.00 26
 
0.3%
27.00 22
 
0.2%
48.00 21
 
0.2%
25.00 21
 
0.2%
28.00 20
 
0.2%
Other values (5523) 9459
96.3%
2024-04-21T17:55:11.681093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 9824
19.4%
0 7071
14.0%
2 5003
9.9%
1 4456
8.8%
3 3993
7.9%
4 3971
7.8%
5 3703
 
7.3%
6 3618
 
7.1%
8 3279
 
6.5%
7 3012
 
5.9%
Other values (2) 2748
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40839
80.6%
Other Punctuation 9839
 
19.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7071
17.3%
2 5003
12.3%
1 4456
10.9%
3 3993
9.8%
4 3971
9.7%
5 3703
9.1%
6 3618
8.9%
8 3279
8.0%
7 3012
7.4%
9 2733
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 9824
99.8%
, 15
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 50678
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 9824
19.4%
0 7071
14.0%
2 5003
9.9%
1 4456
8.8%
3 3993
7.9%
4 3971
7.8%
5 3703
 
7.3%
6 3618
 
7.1%
8 3279
 
6.5%
7 3012
 
5.9%
Other values (2) 2748
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50678
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 9824
19.4%
0 7071
14.0%
2 5003
9.9%
1 4456
8.8%
3 3993
7.9%
4 3971
7.8%
5 3703
 
7.3%
6 3618
 
7.1%
8 3279
 
6.5%
7 3012
 
5.9%
Other values (2) 2748
 
5.4%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct654
Distinct (%)6.7%
Missing170
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean704374.66
Minimum700010
Maximum740190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T17:55:11.939976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700412
Q1702310
median704080
Q3705825
95-th percentile711814
Maximum740190
Range40180
Interquartile range (IQR)3515

Descriptive statistics

Standard deviation2752.3164
Coefficient of variation (CV)0.0039074608
Kurtosis3.9221477
Mean704374.66
Median Absolute Deviation (MAD)1746
Skewness1.142279
Sum6.9240029 × 109
Variance7575245.5
MonotonicityNot monotonic
2024-04-21T17:55:12.226559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704080 126
 
1.3%
706170 97
 
1.0%
706801 89
 
0.9%
702040 84
 
0.8%
702886 84
 
0.8%
711852 81
 
0.8%
700411 78
 
0.8%
704910 77
 
0.8%
704060 75
 
0.8%
701847 75
 
0.8%
Other values (644) 8964
89.6%
(Missing) 170
 
1.7%
ValueCountFrequency (%)
700010 10
 
0.1%
700020 8
 
0.1%
700030 5
 
0.1%
700040 14
0.1%
700050 6
 
0.1%
700060 17
0.2%
700070 17
0.2%
700081 3
 
< 0.1%
700082 26
0.3%
700091 3
 
< 0.1%
ValueCountFrequency (%)
740190 1
 
< 0.1%
711893 3
 
< 0.1%
711892 2
 
< 0.1%
711891 54
0.5%
711874 21
 
0.2%
711873 17
 
0.2%
711872 8
 
0.1%
711864 15
 
0.1%
711863 14
 
0.1%
711862 3
 
< 0.1%
Distinct9526
Distinct (%)95.3%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-21T17:55:13.506382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length55
Mean length24.515103
Min length16

Characters and Unicode

Total characters245102
Distinct characters427
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9132 ?
Unique (%)91.3%

Sample

1st row대구광역시 북구 산격동 1393-10
2nd row대구광역시 달성군 다사읍 매곡리 1534-6번지
3rd row대구광역시 수성구 범어동 423-5번지
4th row대구광역시 동구 율하동 921-6번지
5th row대구광역시 달서구 두류동 488-19
ValueCountFrequency (%)
대구광역시 9997
22.0%
달서구 2021
 
4.5%
북구 1639
 
3.6%
수성구 1601
 
3.5%
동구 1284
 
2.8%
중구 933
 
2.1%
서구 919
 
2.0%
남구 822
 
1.8%
달성군 778
 
1.7%
지상1층 588
 
1.3%
Other values (10120) 24824
54.7%
2024-04-21T17:55:15.292392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45068
18.4%
19490
 
8.0%
1 12976
 
5.3%
11254
 
4.6%
11097
 
4.5%
10161
 
4.1%
10026
 
4.1%
10016
 
4.1%
8924
 
3.6%
- 8643
 
3.5%
Other values (417) 97447
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133744
54.6%
Decimal Number 54927
22.4%
Space Separator 45068
 
18.4%
Dash Punctuation 8643
 
3.5%
Open Punctuation 954
 
0.4%
Close Punctuation 947
 
0.4%
Other Punctuation 579
 
0.2%
Uppercase Letter 195
 
0.1%
Lowercase Letter 22
 
< 0.1%
Math Symbol 20
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19490
14.6%
11254
 
8.4%
11097
 
8.3%
10161
 
7.6%
10026
 
7.5%
10016
 
7.5%
8924
 
6.7%
7209
 
5.4%
3185
 
2.4%
3184
 
2.4%
Other values (365) 39198
29.3%
Uppercase Letter
ValueCountFrequency (%)
A 66
33.8%
B 52
26.7%
T 14
 
7.2%
C 10
 
5.1%
P 8
 
4.1%
R 6
 
3.1%
D 5
 
2.6%
S 5
 
2.6%
K 4
 
2.1%
O 4
 
2.1%
Other values (8) 21
 
10.8%
Lowercase Letter
ValueCountFrequency (%)
e 6
27.3%
y 2
 
9.1%
p 2
 
9.1%
a 2
 
9.1%
o 2
 
9.1%
t 1
 
4.5%
u 1
 
4.5%
h 1
 
4.5%
f 1
 
4.5%
d 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
1 12976
23.6%
0 8085
14.7%
2 6951
12.7%
3 5222
9.5%
4 4375
 
8.0%
5 4155
 
7.6%
7 3416
 
6.2%
6 3409
 
6.2%
8 3239
 
5.9%
9 3099
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 528
91.2%
. 31
 
5.4%
/ 15
 
2.6%
@ 5
 
0.9%
Space Separator
ValueCountFrequency (%)
45068
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8643
100.0%
Open Punctuation
ValueCountFrequency (%)
( 954
100.0%
Close Punctuation
ValueCountFrequency (%)
) 947
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133744
54.6%
Common 111140
45.3%
Latin 218
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19490
14.6%
11254
 
8.4%
11097
 
8.3%
10161
 
7.6%
10026
 
7.5%
10016
 
7.5%
8924
 
6.7%
7209
 
5.4%
3185
 
2.4%
3184
 
2.4%
Other values (365) 39198
29.3%
Latin
ValueCountFrequency (%)
A 66
30.3%
B 52
23.9%
T 14
 
6.4%
C 10
 
4.6%
P 8
 
3.7%
e 6
 
2.8%
R 6
 
2.8%
D 5
 
2.3%
S 5
 
2.3%
K 4
 
1.8%
Other values (22) 42
19.3%
Common
ValueCountFrequency (%)
45068
40.6%
1 12976
 
11.7%
- 8643
 
7.8%
0 8085
 
7.3%
2 6951
 
6.3%
3 5222
 
4.7%
4 4375
 
3.9%
5 4155
 
3.7%
7 3416
 
3.1%
6 3409
 
3.1%
Other values (10) 8840
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133744
54.6%
ASCII 111357
45.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45068
40.5%
1 12976
 
11.7%
- 8643
 
7.8%
0 8085
 
7.3%
2 6951
 
6.2%
3 5222
 
4.7%
4 4375
 
3.9%
5 4155
 
3.7%
7 3416
 
3.1%
6 3409
 
3.1%
Other values (41) 9057
 
8.1%
Hangul
ValueCountFrequency (%)
19490
14.6%
11254
 
8.4%
11097
 
8.3%
10161
 
7.6%
10026
 
7.5%
10016
 
7.5%
8924
 
6.7%
7209
 
5.4%
3185
 
2.4%
3184
 
2.4%
Other values (365) 39198
29.3%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct6225
Distinct (%)96.9%
Missing3576
Missing (%)35.8%
Memory size156.2 KiB
2024-04-21T17:55:16.584686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length56
Mean length28.837484
Min length19

Characters and Unicode

Total characters185252
Distinct characters446
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

Unique6068 ?
Unique (%)94.5%

Sample

1st row대구광역시 북구 산격로6길 29-5, 1층 (산격동)
2nd row대구광역시 달성군 다사읍 대실역북로 72-1, 1층
3rd row대구광역시 수성구 국채보상로 992 (범어동)
4th row대구광역시 동구 율하동로23길 21 (율하동)
5th row대구광역시 달서구 야외음악당로39동길 37-3, 1층 (두류동)
ValueCountFrequency (%)
대구광역시 6423
 
17.2%
1층 2042
 
5.5%
달서구 1281
 
3.4%
북구 1083
 
2.9%
수성구 1031
 
2.8%
동구 824
 
2.2%
중구 614
 
1.6%
달성군 566
 
1.5%
남구 516
 
1.4%
서구 508
 
1.4%
Other values (4592) 22484
60.2%
2024-04-21T17:55:18.168015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30953
 
16.7%
13143
 
7.1%
1 8964
 
4.8%
8430
 
4.6%
8297
 
4.5%
6628
 
3.6%
6497
 
3.5%
6436
 
3.5%
6240
 
3.4%
( 6236
 
3.4%
Other values (436) 83428
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105861
57.1%
Space Separator 30953
 
16.7%
Decimal Number 29843
 
16.1%
Open Punctuation 6236
 
3.4%
Close Punctuation 6236
 
3.4%
Other Punctuation 4412
 
2.4%
Dash Punctuation 1456
 
0.8%
Uppercase Letter 197
 
0.1%
Math Symbol 37
 
< 0.1%
Lowercase Letter 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13143
 
12.4%
8430
 
8.0%
8297
 
7.8%
6628
 
6.3%
6497
 
6.1%
6436
 
6.1%
6240
 
5.9%
3513
 
3.3%
3136
 
3.0%
2642
 
2.5%
Other values (382) 40899
38.6%
Uppercase Letter
ValueCountFrequency (%)
A 63
32.0%
B 59
29.9%
T 9
 
4.6%
S 8
 
4.1%
C 8
 
4.1%
D 6
 
3.0%
E 5
 
2.5%
R 5
 
2.5%
O 5
 
2.5%
W 4
 
2.0%
Other values (12) 25
 
12.7%
Lowercase Letter
ValueCountFrequency (%)
e 6
28.6%
p 2
 
9.5%
a 2
 
9.5%
o 2
 
9.5%
y 2
 
9.5%
u 1
 
4.8%
t 1
 
4.8%
h 1
 
4.8%
d 1
 
4.8%
i 1
 
4.8%
Other values (2) 2
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 8964
30.0%
2 4374
14.7%
3 2996
 
10.0%
0 2417
 
8.1%
4 2357
 
7.9%
5 2215
 
7.4%
6 1926
 
6.5%
7 1745
 
5.8%
9 1437
 
4.8%
8 1412
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 4386
99.4%
. 20
 
0.5%
/ 3
 
0.1%
@ 2
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
30953
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6236
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1456
100.0%
Math Symbol
ValueCountFrequency (%)
~ 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105861
57.1%
Common 79173
42.7%
Latin 218
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13143
 
12.4%
8430
 
8.0%
8297
 
7.8%
6628
 
6.3%
6497
 
6.1%
6436
 
6.1%
6240
 
5.9%
3513
 
3.3%
3136
 
3.0%
2642
 
2.5%
Other values (382) 40899
38.6%
Latin
ValueCountFrequency (%)
A 63
28.9%
B 59
27.1%
T 9
 
4.1%
S 8
 
3.7%
C 8
 
3.7%
D 6
 
2.8%
e 6
 
2.8%
E 5
 
2.3%
R 5
 
2.3%
O 5
 
2.3%
Other values (24) 44
20.2%
Common
ValueCountFrequency (%)
30953
39.1%
1 8964
 
11.3%
( 6236
 
7.9%
) 6236
 
7.9%
, 4386
 
5.5%
2 4374
 
5.5%
3 2996
 
3.8%
0 2417
 
3.1%
4 2357
 
3.0%
5 2215
 
2.8%
Other values (10) 8039
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105861
57.1%
ASCII 79391
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30953
39.0%
1 8964
 
11.3%
( 6236
 
7.9%
) 6236
 
7.9%
, 4386
 
5.5%
2 4374
 
5.5%
3 2996
 
3.8%
0 2417
 
3.0%
4 2357
 
3.0%
5 2215
 
2.8%
Other values (44) 8257
 
10.4%
Hangul
ValueCountFrequency (%)
13143
 
12.4%
8430
 
8.0%
8297
 
7.8%
6628
 
6.3%
6497
 
6.1%
6436
 
6.1%
6240
 
5.9%
3513
 
3.3%
3136
 
3.0%
2642
 
2.5%
Other values (382) 40899
38.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1169
Distinct (%)18.4%
Missing3663
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean42069.417
Minimum39656
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T17:55:18.408789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39656
5-th percentile41113.8
Q141557
median42053
Q342631
95-th percentile42956
Maximum43024
Range3368
Interquartile range (IQR)1074

Descriptive statistics

Standard deviation584.56606
Coefficient of variation (CV)0.013895273
Kurtosis-1.1290091
Mean42069.417
Median Absolute Deviation (MAD)542
Skewness-0.091468076
Sum2.665939 × 108
Variance341717.47
MonotonicityNot monotonic
2024-04-21T17:55:18.660396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41544 61
 
0.6%
41942 47
 
0.5%
41423 46
 
0.5%
43018 45
 
0.4%
42612 34
 
0.3%
42672 33
 
0.3%
41935 31
 
0.3%
42608 28
 
0.3%
41941 27
 
0.3%
43014 27
 
0.3%
Other values (1159) 5958
59.6%
(Missing) 3663
36.6%
ValueCountFrequency (%)
39656 1
 
< 0.1%
41000 9
0.1%
41001 8
0.1%
41002 5
0.1%
41003 2
 
< 0.1%
41005 3
 
< 0.1%
41006 1
 
< 0.1%
41007 11
0.1%
41008 4
 
< 0.1%
41009 4
 
< 0.1%
ValueCountFrequency (%)
43024 2
 
< 0.1%
43022 1
 
< 0.1%
43021 1
 
< 0.1%
43020 2
 
< 0.1%
43018 45
0.4%
43017 11
 
0.1%
43014 27
0.3%
43013 2
 
< 0.1%
43010 8
 
0.1%
43009 15
 
0.1%
Distinct9012
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T17:55:19.653028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length5.7239
Min length1

Characters and Unicode

Total characters57239
Distinct characters1104
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8375 ?
Unique (%)83.8%

Sample

1st row흠뻑
2nd row닥엔돈스 다사점
3rd row포차마당
4th row맘스터치(안심점)
5th row스윗돈
ValueCountFrequency (%)
식당 24
 
0.2%
대구식당 11
 
0.1%
동성로점 11
 
0.1%
상인점 10
 
0.1%
진미식당 10
 
0.1%
우리식당 10
 
0.1%
서울식당 10
 
0.1%
다사점 9
 
0.1%
고향식당 9
 
0.1%
실내포장 9
 
0.1%
Other values (9474) 10871
99.0%
2024-04-21T17:55:20.903129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2261
 
4.0%
2033
 
3.6%
1201
 
2.1%
1104
 
1.9%
985
 
1.7%
816
 
1.4%
761
 
1.3%
701
 
1.2%
647
 
1.1%
638
 
1.1%
Other values (1094) 46092
80.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52743
92.1%
Space Separator 985
 
1.7%
Lowercase Letter 845
 
1.5%
Uppercase Letter 794
 
1.4%
Open Punctuation 562
 
1.0%
Close Punctuation 562
 
1.0%
Decimal Number 556
 
1.0%
Other Punctuation 167
 
0.3%
Dash Punctuation 15
 
< 0.1%
Math Symbol 8
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2261
 
4.3%
2033
 
3.9%
1201
 
2.3%
1104
 
2.1%
816
 
1.5%
761
 
1.4%
701
 
1.3%
647
 
1.2%
638
 
1.2%
600
 
1.1%
Other values (1015) 41981
79.6%
Lowercase Letter
ValueCountFrequency (%)
o 108
12.8%
e 91
 
10.8%
a 80
 
9.5%
n 58
 
6.9%
s 56
 
6.6%
i 52
 
6.2%
l 44
 
5.2%
u 40
 
4.7%
t 38
 
4.5%
f 36
 
4.3%
Other values (15) 242
28.6%
Uppercase Letter
ValueCountFrequency (%)
B 82
 
10.3%
E 69
 
8.7%
A 58
 
7.3%
O 56
 
7.1%
C 48
 
6.0%
S 44
 
5.5%
H 39
 
4.9%
T 38
 
4.8%
I 36
 
4.5%
R 35
 
4.4%
Other values (15) 289
36.4%
Decimal Number
ValueCountFrequency (%)
0 105
18.9%
1 85
15.3%
2 78
14.0%
9 63
11.3%
3 62
11.2%
8 38
 
6.8%
5 37
 
6.7%
4 33
 
5.9%
7 32
 
5.8%
6 23
 
4.1%
Other Punctuation
ValueCountFrequency (%)
& 63
37.7%
. 55
32.9%
, 18
 
10.8%
' 15
 
9.0%
! 6
 
3.6%
· 5
 
3.0%
? 2
 
1.2%
/ 2
 
1.2%
# 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
+ 4
50.0%
~ 2
25.0%
1
 
12.5%
= 1
 
12.5%
Space Separator
ValueCountFrequency (%)
985
100.0%
Open Punctuation
ValueCountFrequency (%)
( 562
100.0%
Close Punctuation
ValueCountFrequency (%)
) 562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52710
92.1%
Common 2857
 
5.0%
Latin 1639
 
2.9%
Han 31
 
0.1%
Katakana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2261
 
4.3%
2033
 
3.9%
1201
 
2.3%
1104
 
2.1%
816
 
1.5%
761
 
1.4%
701
 
1.3%
647
 
1.2%
638
 
1.2%
600
 
1.1%
Other values (987) 41948
79.6%
Latin
ValueCountFrequency (%)
o 108
 
6.6%
e 91
 
5.6%
B 82
 
5.0%
a 80
 
4.9%
E 69
 
4.2%
n 58
 
3.5%
A 58
 
3.5%
s 56
 
3.4%
O 56
 
3.4%
i 52
 
3.2%
Other values (40) 929
56.7%
Common
ValueCountFrequency (%)
985
34.5%
( 562
19.7%
) 562
19.7%
0 105
 
3.7%
1 85
 
3.0%
2 78
 
2.7%
9 63
 
2.2%
& 63
 
2.2%
3 62
 
2.2%
. 55
 
1.9%
Other values (19) 237
 
8.3%
Han
ValueCountFrequency (%)
2
 
6.5%
2
 
6.5%
2
 
6.5%
2
 
6.5%
2
 
6.5%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
Other values (16) 16
51.6%
Katakana
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52709
92.1%
ASCII 4490
 
7.8%
CJK 30
 
0.1%
None 5
 
< 0.1%
Katakana 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Math Operators 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2261
 
4.3%
2033
 
3.9%
1201
 
2.3%
1104
 
2.1%
816
 
1.5%
761
 
1.4%
701
 
1.3%
647
 
1.2%
638
 
1.2%
600
 
1.1%
Other values (986) 41947
79.6%
ASCII
ValueCountFrequency (%)
985
21.9%
( 562
 
12.5%
) 562
 
12.5%
o 108
 
2.4%
0 105
 
2.3%
e 91
 
2.0%
1 85
 
1.9%
B 82
 
1.8%
a 80
 
1.8%
2 78
 
1.7%
Other values (67) 1752
39.0%
None
ValueCountFrequency (%)
· 5
100.0%
CJK
ValueCountFrequency (%)
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
Other values (15) 15
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Katakana
ValueCountFrequency (%)
1
50.0%
1
50.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct8094
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0131979 × 1013
Minimum2.0010809 × 1013
Maximum2.0221031 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T17:55:21.145766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010809 × 1013
5-th percentile2.0020416 × 1013
Q12.0050624 × 1013
median2.0150703 × 1013
Q32.0201124 × 1013
95-th percentile2.0220623 × 1013
Maximum2.0221031 × 1013
Range2.1022215 × 1011
Interquartile range (IQR)1.5050034 × 1011

Descriptive statistics

Standard deviation7.5009779 × 1010
Coefficient of variation (CV)0.003725902
Kurtosis-1.5131085
Mean2.0131979 × 1013
Median Absolute Deviation (MAD)6.0225479 × 1010
Skewness-0.29474281
Sum2.0131979 × 1017
Variance5.626467 × 1021
MonotonicityNot monotonic
2024-04-21T17:55:21.389692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20031215000000 31
 
0.3%
20020909000000 22
 
0.2%
20020906000000 19
 
0.2%
20020205000000 18
 
0.2%
20021227000000 18
 
0.2%
20020531000000 16
 
0.2%
20020904000000 16
 
0.2%
20041004000000 16
 
0.2%
20020903000000 16
 
0.2%
20020207000000 15
 
0.1%
Other values (8084) 9813
98.1%
ValueCountFrequency (%)
20010809000000 2
 
< 0.1%
20010810000000 4
 
< 0.1%
20010811000000 4
 
< 0.1%
20010813000000 1
 
< 0.1%
20010817000000 5
 
0.1%
20010820000000 6
0.1%
20010821000000 3
 
< 0.1%
20010823000000 5
 
0.1%
20010824000000 2
 
< 0.1%
20010827000000 13
0.1%
ValueCountFrequency (%)
20221031152123 1
< 0.1%
20221031145450 1
< 0.1%
20221031123007 1
< 0.1%
20221031112727 1
< 0.1%
20221031112412 1
< 0.1%
20221031111208 1
< 0.1%
20221028160014 1
< 0.1%
20221028143745 1
< 0.1%
20221028133822 1
< 0.1%
20221028111827 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
6180 
U
3820 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6180
61.8%
U 3820
38.2%

Length

2024-04-21T17:55:21.614512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:21.773019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6180
61.8%
u 3820
38.2%
Distinct1141
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-11-02 02:40:00
2024-04-21T17:55:21.960730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:55:22.213083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4840 
기타
1020 
호프/통닭
684 
식육(숯불구이)
638 
경양식
523 
Other values (19)
2295 

Length

Max length15
Median length2
Mean length3.1298
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row호프/통닭
2nd row호프/통닭
3rd row일식
4th row통닭(치킨)
5th row경양식

Common Values

ValueCountFrequency (%)
한식 4840
48.4%
기타 1020
 
10.2%
호프/통닭 684
 
6.8%
식육(숯불구이) 638
 
6.4%
경양식 523
 
5.2%
분식 447
 
4.5%
통닭(치킨) 421
 
4.2%
중국식 396
 
4.0%
일식 241
 
2.4%
정종/대포집/소주방 201
 
2.0%
Other values (14) 589
 
5.9%

Length

2024-04-21T17:55:22.455304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4840
48.4%
기타 1020
 
10.2%
호프/통닭 684
 
6.8%
식육(숯불구이 638
 
6.4%
경양식 523
 
5.2%
분식 447
 
4.5%
통닭(치킨 421
 
4.2%
중국식 396
 
4.0%
일식 241
 
2.4%
정종/대포집/소주방 201
 
2.0%
Other values (14) 589
 
5.9%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct8226
Distinct (%)85.8%
Missing418
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean342774.67
Minimum303598.42
Maximum358567.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T17:55:22.715646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum303598.42
5-th percentile333491.11
Q1339665.9
median342887.51
Q3346105.23
95-th percentile353170.2
Maximum358567.81
Range54969.392
Interquartile range (IQR)6439.3311

Descriptive statistics

Standard deviation5287.046
Coefficient of variation (CV)0.015424261
Kurtosis0.71630514
Mean342774.67
Median Absolute Deviation (MAD)3219.188
Skewness-0.085971277
Sum3.2844669 × 109
Variance27952856
MonotonicityNot monotonic
2024-04-21T17:55:22.954480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340741.823616 14
 
0.1%
343588.735555 13
 
0.1%
338687.880127 13
 
0.1%
346064.124003 10
 
0.1%
347037.24197 10
 
0.1%
345032.238221 10
 
0.1%
344047.164924 9
 
0.1%
346064.130562 9
 
0.1%
341033.179411 9
 
0.1%
342423.108913 7
 
0.1%
Other values (8216) 9478
94.8%
(Missing) 418
 
4.2%
ValueCountFrequency (%)
303598.421176706 1
< 0.1%
325742.887636 1
< 0.1%
325834.796342 1
< 0.1%
326205.731687 1
< 0.1%
326416.091709 1
< 0.1%
326417.246199 1
< 0.1%
326421.112739 1
< 0.1%
326476.542862 1
< 0.1%
326755.194077 1
< 0.1%
326937.504685 1
< 0.1%
ValueCountFrequency (%)
358567.812865 1
< 0.1%
358555.809323 1
< 0.1%
358037.876254 1
< 0.1%
358014.83602 2
< 0.1%
357977.615286 1
< 0.1%
357916.122672 1
< 0.1%
357870.136201 1
< 0.1%
357854.456686 1
< 0.1%
357073.974572 1
< 0.1%
357015.0 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct8225
Distinct (%)85.8%
Missing418
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean263182.41
Minimum237502.18
Maximum291339.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T17:55:23.202710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237502.18
5-th percentile257074.4
Q1261319.2
median263420.72
Q3265465.23
95-th percentile270870.53
Maximum291339.58
Range53837.395
Interquartile range (IQR)4146.0347

Descriptive statistics

Standard deviation4808.8704
Coefficient of variation (CV)0.018272005
Kurtosis5.571024
Mean263182.41
Median Absolute Deviation (MAD)2086.4856
Skewness-1.3148747
Sum2.5218138 × 109
Variance23125234
MonotonicityNot monotonic
2024-04-21T17:55:23.461197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262316.993409 14
 
0.1%
261988.432193 13
 
0.1%
264119.01075 13
 
0.1%
262949.871621 10
 
0.1%
260435.462132 10
 
0.1%
265407.404337 10
 
0.1%
262385.585116 9
 
0.1%
260456.39605 9
 
0.1%
265132.987974 9
 
0.1%
266134.259921 7
 
0.1%
Other values (8215) 9478
94.8%
(Missing) 418
 
4.2%
ValueCountFrequency (%)
237502.18355 1
< 0.1%
237546.429496 1
< 0.1%
237971.058832 2
< 0.1%
239505.242535 1
< 0.1%
239668.214214 1
< 0.1%
239796.547004 1
< 0.1%
239817.995048 1
< 0.1%
240172.357061 1
< 0.1%
240194.696692 1
< 0.1%
240225.954338 1
< 0.1%
ValueCountFrequency (%)
291339.578472537 1
< 0.1%
278444.533406 1
< 0.1%
278318.296599 2
< 0.1%
278261.754229 1
< 0.1%
278232.384481 2
< 0.1%
278227.510922 1
< 0.1%
277985.364429 1
< 0.1%
277974.602303 2
< 0.1%
277954.022648 1
< 0.1%
277949.202873 1
< 0.1%

위생업태명
Categorical

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4840 
기타
1020 
호프/통닭
684 
식육(숯불구이)
638 
경양식
523 
Other values (19)
2295 

Length

Max length15
Median length2
Mean length3.1298
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row호프/통닭
2nd row호프/통닭
3rd row일식
4th row통닭(치킨)
5th row경양식

Common Values

ValueCountFrequency (%)
한식 4840
48.4%
기타 1020
 
10.2%
호프/통닭 684
 
6.8%
식육(숯불구이) 638
 
6.4%
경양식 523
 
5.2%
분식 447
 
4.5%
통닭(치킨) 421
 
4.2%
중국식 396
 
4.0%
일식 241
 
2.4%
정종/대포집/소주방 201
 
2.0%
Other values (14) 589
 
5.9%

Length

2024-04-21T17:55:23.704593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4840
48.4%
기타 1020
 
10.2%
호프/통닭 684
 
6.8%
식육(숯불구이 638
 
6.4%
경양식 523
 
5.2%
분식 447
 
4.5%
통닭(치킨 421
 
4.2%
중국식 396
 
4.0%
일식 241
 
2.4%
정종/대포집/소주방 201
 
2.0%
Other values (14) 589
 
5.9%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)0.2%
Missing3186
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean0.26548283
Minimum0
Maximum35
Zeros5605
Zeros (%)56.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T17:55:23.891650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.92304367
Coefficient of variation (CV)3.4768489
Kurtosis433.35562
Mean0.26548283
Median Absolute Deviation (MAD)0
Skewness15.34117
Sum1809
Variance0.85200962
MonotonicityNot monotonic
2024-04-21T17:55:24.093369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 5605
56.0%
1 912
 
9.1%
2 191
 
1.9%
3 54
 
0.5%
4 28
 
0.3%
5 7
 
0.1%
6 4
 
< 0.1%
11 3
 
< 0.1%
10 3
 
< 0.1%
8 2
 
< 0.1%
Other values (5) 5
 
0.1%
(Missing) 3186
31.9%
ValueCountFrequency (%)
0 5605
56.0%
1 912
 
9.1%
2 191
 
1.9%
3 54
 
0.5%
4 28
 
0.3%
5 7
 
0.1%
6 4
 
< 0.1%
7 1
 
< 0.1%
8 2
 
< 0.1%
10 3
 
< 0.1%
ValueCountFrequency (%)
35 1
 
< 0.1%
25 1
 
< 0.1%
21 1
 
< 0.1%
15 1
 
< 0.1%
11 3
< 0.1%
10 3
< 0.1%
8 2
 
< 0.1%
7 1
 
< 0.1%
6 4
< 0.1%
5 7
0.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)0.2%
Missing3029
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean0.42174724
Minimum0
Maximum27
Zeros5337
Zeros (%)53.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T17:55:24.303347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0866388
Coefficient of variation (CV)2.5765166
Kurtosis106.11773
Mean0.42174724
Median Absolute Deviation (MAD)0
Skewness7.169594
Sum2940
Variance1.1807838
MonotonicityNot monotonic
2024-04-21T17:55:24.504146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5337
53.4%
1 902
 
9.0%
2 491
 
4.9%
3 134
 
1.3%
4 46
 
0.5%
5 22
 
0.2%
6 11
 
0.1%
10 8
 
0.1%
7 7
 
0.1%
8 5
 
0.1%
Other values (7) 8
 
0.1%
(Missing) 3029
30.3%
ValueCountFrequency (%)
0 5337
53.4%
1 902
 
9.0%
2 491
 
4.9%
3 134
 
1.3%
4 46
 
0.5%
5 22
 
0.2%
6 11
 
0.1%
7 7
 
0.1%
8 5
 
0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
27 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
16 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
10 8
0.1%
9 2
 
< 0.1%
8 5
0.1%
7 7
0.1%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4382 
기타
3005 
주택가주변
1887 
아파트지역
443 
유흥업소밀집지역
 
171
Other values (3)
 
112

Length

Max length8
Median length7
Mean length3.7442
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4382
43.8%
기타 3005
30.0%
주택가주변 1887
18.9%
아파트지역 443
 
4.4%
유흥업소밀집지역 171
 
1.7%
학교정화(상대) 85
 
0.9%
학교정화(절대) 17
 
0.2%
결혼예식장주변 10
 
0.1%

Length

2024-04-21T17:55:24.724952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:24.922142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4382
43.8%
기타 3005
30.0%
주택가주변 1887
18.9%
아파트지역 443
 
4.4%
유흥업소밀집지역 171
 
1.7%
학교정화(상대 85
 
0.9%
학교정화(절대 17
 
0.2%
결혼예식장주변 10
 
0.1%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6165 
자율
2897 
기타
913 
우수
 
19
 
4

Length

Max length4
Median length4
Mean length3.2326
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6165
61.7%
자율 2897
29.0%
기타 913
 
9.1%
우수 19
 
0.2%
4
 
< 0.1%
지도 2
 
< 0.1%

Length

2024-04-21T17:55:25.154486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:25.348222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6165
61.7%
자율 2897
29.0%
기타 913
 
9.1%
우수 19
 
0.2%
4
 
< 0.1%
지도 2
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
7522 
<NA>
2433 
지하수전용
 
32
상수도(음용)지하수(주방용)겸용
 
6
간이상수도
 
5

Length

Max length19
Median length5
Mean length4.7667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 7522
75.2%
<NA> 2433
 
24.3%
지하수전용 32
 
0.3%
상수도(음용)지하수(주방용)겸용 6
 
0.1%
간이상수도 5
 
0.1%
전용상수도(특정시설의 자가용 수도) 2
 
< 0.1%

Length

2024-04-21T17:55:25.565763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:25.759423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 7522
75.2%
na 2433
 
24.3%
지하수전용 32
 
0.3%
상수도(음용)지하수(주방용)겸용 6
 
0.1%
간이상수도 5
 
< 0.1%
전용상수도(특정시설의 2
 
< 0.1%
자가용 2
 
< 0.1%
수도 2
 
< 0.1%

총직원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8548 
0
1452 

Length

Max length4
Median length4
Mean length3.5644
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8548
85.5%
0 1452
 
14.5%

Length

2024-04-21T17:55:25.971204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:26.139314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8548
85.5%
0 1452
 
14.5%

본사직원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8546 
0
1454 

Length

Max length4
Median length4
Mean length3.5638
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8546
85.5%
0 1454
 
14.5%

Length

2024-04-21T17:55:26.320791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:26.489096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8546
85.5%
0 1454
 
14.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8546 
0
1454 

Length

Max length4
Median length4
Mean length3.5638
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8546
85.5%
0 1454
 
14.5%

Length

2024-04-21T17:55:26.668598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:27.055079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8546
85.5%
0 1454
 
14.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8546 
0
1454 

Length

Max length4
Median length4
Mean length3.5638
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8546
85.5%
0 1454
 
14.5%

Length

2024-04-21T17:55:27.232422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:27.401610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8546
85.5%
0 1454
 
14.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8546 
0
1454 

Length

Max length4
Median length4
Mean length3.5638
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8546
85.5%
0 1454
 
14.5%

Length

2024-04-21T17:55:27.578607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:27.748034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8546
85.5%
0 1454
 
14.5%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

보증액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8546 
0
1454 

Length

Max length4
Median length4
Mean length3.5638
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8546
85.5%
0 1454
 
14.5%

Length

2024-04-21T17:55:27.924993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:28.095384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8546
85.5%
0 1454
 
14.5%

월세액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8546 
0
1454 

Length

Max length4
Median length4
Mean length3.5638
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8546
85.5%
0 1454
 
14.5%

Length

2024-04-21T17:55:28.274812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:55:28.448945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8546
85.5%
0 1454
 
14.5%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9651 
True
 
349
ValueCountFrequency (%)
False 9651
96.5%
True 349
 
3.5%
2024-04-21T17:55:28.584769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct5558
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.368078
Minimum0
Maximum5059.5
Zeros214
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T17:55:28.776419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.9885
Q128.8875
median47.225
Q383.3475
95-th percentile210.102
Maximum5059.5
Range5059.5
Interquartile range (IQR)54.46

Descriptive statistics

Standard deviation106.7753
Coefficient of variation (CV)1.4553373
Kurtosis557.48495
Mean73.368078
Median Absolute Deviation (MAD)22.375
Skewness15.747876
Sum733680.78
Variance11400.965
MonotonicityNot monotonic
2024-04-21T17:55:29.027749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 214
 
2.1%
30.0 35
 
0.4%
33.0 34
 
0.3%
36.0 32
 
0.3%
26.4 28
 
0.3%
40.0 27
 
0.3%
27.0 22
 
0.2%
48.0 21
 
0.2%
66.0 21
 
0.2%
35.0 21
 
0.2%
Other values (5548) 9545
95.5%
ValueCountFrequency (%)
0.0 214
2.1%
1.0 2
 
< 0.1%
2.24 1
 
< 0.1%
2.6 1
 
< 0.1%
3.0 1
 
< 0.1%
3.69 1
 
< 0.1%
4.38 1
 
< 0.1%
5.7 1
 
< 0.1%
6.0 2
 
< 0.1%
6.45 1
 
< 0.1%
ValueCountFrequency (%)
5059.5 1
< 0.1%
2870.22 1
< 0.1%
1891.68 1
< 0.1%
1880.0 1
< 0.1%
1360.58 1
< 0.1%
1300.65 1
< 0.1%
1215.0 1
< 0.1%
1202.1 1
< 0.1%
1193.3 1
< 0.1%
1190.58 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

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
3805238053일반음식점07_24_04_P34500003450000-101-2020-0022120200707<NA>3폐업2폐업20211115<NA><NA><NA><NA>76.00702842대구광역시 북구 산격동 1393-10대구광역시 북구 산격로6길 29-5, 1층 (산격동)41544흠뻑20211115151908U2021-11-17 02:40:00.0호프/통닭345176.005277267030.195839호프/통닭00주택가주변<NA><NA>00000<NA>00N76.0<NA><NA><NA>
8373283733일반음식점07_24_04_P34800003480000-101-2001-0012920010830<NA>1영업/정상1영업<NA><NA><NA><NA>053 581 994540.66711812대구광역시 달성군 다사읍 매곡리 1534-6번지대구광역시 달성군 다사읍 대실역북로 72-1, 1층42911닥엔돈스 다사점20170918172325I2018-08-31 23:59:59.0호프/통닭332513.318509263571.133757호프/통닭00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N40.66<NA><NA><NA>
5701557016일반음식점07_24_04_P34600003460000-101-2006-0021820060728<NA>3폐업2폐업20130314<NA><NA><NA>7417887112.30706823대구광역시 수성구 범어동 423-5번지대구광역시 수성구 국채보상로 992 (범어동)42023포차마당20110721151150I2018-08-31 23:59:59.0일식347927.729872264117.315174일식22주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N112.3<NA><NA><NA>
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5670056701일반음식점07_24_04_P34600003460000-101-2015-0014820150522<NA>3폐업2폐업20150618<NA><NA><NA><NA><NA>706803대구광역시 수성구 만촌동 1330-24번지대구광역시 수성구 만촌로 166 (만촌동)42036엄마백반20150604131553I2018-08-31 23:59:59.0한식348092.166472264942.375259한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
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3989039891일반음식점07_24_04_P34500003450000-101-2011-0027620111025<NA>3폐업2폐업20140313<NA><NA><NA><NA>26.70702846대구광역시 북구 산격동 824-4번지대구광역시 북구 연암로 148-1 (산격동)41533톳나라20130426102612I2018-08-31 23:59:59.0한식344017.675501267537.375699한식<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N26.7<NA><NA><NA>
2475524756일반음식점07_24_04_P34300003430000-101-2007-0015020070705<NA>3폐업2폐업20200922<NA><NA><NA>053 356070952.29703824대구광역시 서구 비산동 1856-11대구광역시 서구 서대구로 303-30 (비산동)41711옛날왕대포20200922161134U2020-09-24 02:40:00.0정종/대포집/소주방340386.87319266072.934962정종/대포집/소주방<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N52.29<NA><NA><NA>
4379543796일반음식점07_24_04_P34500003450000-101-2018-0034920181018<NA>1영업/정상1영업<NA><NA><NA><NA><NA>64.80702866대구광역시 북구 태전동 1074-25번지대구광역시 북구 태암남로 12, 1층 (태전동)41462큰안동한우생고기앤육회20181113112809U2018-11-15 02:36:10.0한식339700.285077270554.290764한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N64.8<NA><NA><NA>
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7083570836일반음식점07_24_04_P34700003470000-101-2012-0015420120515<NA>3폐업2폐업20150409<NA><NA><NA>053 625 778524.60704060대구광역시 달서구 두류동 137-87번지대구광역시 달서구 야외음악당로47길 116, 1층 (두류동)42659우시장회수산20130829142129I2018-08-31 23:59:59.0횟집341040.130429263159.26349횟집<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N24.6<NA><NA><NA>
5092950930일반음식점07_24_04_P34600003460000-101-1978-0000119780127<NA>1영업/정상1영업<NA><NA><NA><NA>053 424212654.45706833대구광역시 수성구 수성동3가 37-1번지대구광역시 수성구 청솔로 117, 1층 (수성동3가)42115미성가(家)20180531155640I2018-08-31 23:59:59.0한식346358.538482263111.32695한식00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N54.45<NA><NA><NA>
4061940620일반음식점07_24_04_P34500003450000-101-1997-0002619970902<NA>3폐업2폐업20100514<NA><NA><NA>3561900209.30702857대구광역시 북구 침산동 447-25번지<NA><NA>벽강식당20020408000000I2018-08-31 23:59:59.0한식<NA><NA>한식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N209.3<NA><NA><NA>
5720557206일반음식점07_24_04_P34600003460000-101-2006-0007120060329<NA>3폐업2폐업20151229<NA><NA><NA>7826605269.40706839대구광역시 수성구 지산동 1288-20번지대구광역시 수성구 용학로 293-9 (지산동)42197J라운지20130828112813I2018-08-31 23:59:59.0까페348078.944654259252.515984까페00유흥업소밀집지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N269.4<NA><NA><NA>
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1139411395일반음식점07_24_04_P34200003420000-101-2008-0004620080324<NA>3폐업2폐업20150731<NA><NA><NA>053 957 178827.09701816대구광역시 동구 신암동 333-1번지대구광역시 동구 신암남로27길 81 (신암동)41218소담20141002103017I2018-08-31 23:59:59.0한식347195.89467266073.187343한식<NA><NA>주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N27.09<NA><NA><NA>
4108041081일반음식점07_24_04_P34500003450000-101-1998-0018719980113<NA>3폐업2폐업20040317<NA><NA><NA>9439266136.90702835대구광역시 북구 산격동 180-6번지<NA><NA>공산가든식당20020429000000I2018-08-31 23:59:59.0한식345508.64212268392.611793한식00기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N136.9<NA><NA><NA>
4375743758일반음식점07_24_04_P34500003450000-101-2012-0024120120910<NA>1영업/정상1영업<NA><NA><NA><NA><NA>121.00702894대구광역시 북구 서변동 1759-9번지대구광역시 북구 서변로 33 (서변동)41477밤새우는닭20171114153215I2018-08-31 23:59:59.0통닭(치킨)344024.671833269869.610869통닭(치킨)12주택가주변<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N121.0<NA><NA><NA>
7422574226일반음식점07_24_04_P34700003470000-101-1994-0023619941017<NA>1영업/정상1영업<NA><NA><NA><NA>053 626 149862.53704823대구광역시 달서구 송현동 2015-0030대구광역시 달서구 중흥로16길 3 (송현동)42819청도추어탕식당20201203140022U2020-12-05 02:40:00.0한식340840.160442259777.354497한식00<NA>자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N62.53<NA><NA><NA>