Overview

Dataset statistics

Number of variables47
Number of observations3038
Missing cells31137
Missing cells (%)21.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory405.0 B

Variable types

Numeric12
Categorical19
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description22년12월_6270000_대구광역시_07_22_18_P_제과점영업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097396&dataSetDetailId=DDI_0000097442&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업태구분명 is highly imbalanced (99.2%)Imbalance
위생업태명 is highly imbalanced (99.2%)Imbalance
급수시설구분명 is highly imbalanced (59.5%)Imbalance
다중이용업소여부 is highly imbalanced (89.5%)Imbalance
인허가취소일자 has 3038 (100.0%) missing valuesMissing
폐업일자 has 966 (31.8%) missing valuesMissing
휴업시작일자 has 3038 (100.0%) missing valuesMissing
휴업종료일자 has 3038 (100.0%) missing valuesMissing
재개업일자 has 3038 (100.0%) missing valuesMissing
소재지전화 has 1307 (43.0%) missing valuesMissing
소재지면적 has 101 (3.3%) missing valuesMissing
소재지우편번호 has 34 (1.1%) missing valuesMissing
도로명전체주소 has 830 (27.3%) missing valuesMissing
도로명우편번호 has 847 (27.9%) missing valuesMissing
좌표정보(X) has 73 (2.4%) missing valuesMissing
좌표정보(Y) has 73 (2.4%) missing valuesMissing
남성종사자수 has 1339 (44.1%) missing valuesMissing
여성종사자수 has 1263 (41.6%) missing valuesMissing
건물소유구분명 has 3038 (100.0%) missing valuesMissing
전통업소지정번호 has 3038 (100.0%) missing valuesMissing
전통업소주된음식 has 3038 (100.0%) missing valuesMissing
홈페이지 has 3038 (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 1243 (40.9%) zerosZeros
여성종사자수 has 1196 (39.4%) zerosZeros
시설총규모 has 152 (5.0%) zerosZeros

Reproduction

Analysis started2023-12-10 20:07:55.176413
Analysis finished2023-12-10 20:07:56.965661
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3038
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1519.5
Minimum1
Maximum3038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:07:57.053373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile152.85
Q1760.25
median1519.5
Q32278.75
95-th percentile2886.15
Maximum3038
Range3037
Interquartile range (IQR)1518.5

Descriptive statistics

Standard deviation877.13938
Coefficient of variation (CV)0.57725527
Kurtosis-1.2
Mean1519.5
Median Absolute Deviation (MAD)759.5
Skewness0
Sum4616241
Variance769373.5
MonotonicityStrictly increasing
2023-12-11T05:07:57.214998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2031 1
 
< 0.1%
2022 1
 
< 0.1%
2023 1
 
< 0.1%
2024 1
 
< 0.1%
2025 1
 
< 0.1%
2026 1
 
< 0.1%
2027 1
 
< 0.1%
2028 1
 
< 0.1%
2029 1
 
< 0.1%
Other values (3028) 3028
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3038 1
< 0.1%
3037 1
< 0.1%
3036 1
< 0.1%
3035 1
< 0.1%
3034 1
< 0.1%
3033 1
< 0.1%
3032 1
< 0.1%
3031 1
< 0.1%
3030 1
< 0.1%
3029 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
제과점영업
3038 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 3038
100.0%

Length

2023-12-11T05:07:57.390479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:07:57.511889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3038
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
07_22_18_P
3038 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_18_P
2nd row07_22_18_P
3rd row07_22_18_P
4th row07_22_18_P
5th row07_22_18_P

Common Values

ValueCountFrequency (%)
07_22_18_P 3038
100.0%

Length

2023-12-11T05:07:57.623340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:07:57.729719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_18_p 3038
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446876.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:07:57.844251image/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 deviation22218.535
Coefficient of variation (CV)0.0064459916
Kurtosis-1.1635263
Mean3446876.2
Median Absolute Deviation (MAD)20000
Skewness-0.36391328
Sum1.047161 × 1010
Variance4.9366331 × 108
MonotonicityIncreasing
2023-12-11T05:07:58.009955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 593
19.5%
3460000 550
18.1%
3450000 536
17.6%
3410000 395
13.0%
3420000 360
11.8%
3430000 209
 
6.9%
3440000 198
 
6.5%
3480000 197
 
6.5%
ValueCountFrequency (%)
3410000 395
13.0%
3420000 360
11.8%
3430000 209
 
6.9%
3440000 198
 
6.5%
3450000 536
17.6%
3460000 550
18.1%
3470000 593
19.5%
3480000 197
 
6.5%
ValueCountFrequency (%)
3480000 197
 
6.5%
3470000 593
19.5%
3460000 550
18.1%
3450000 536
17.6%
3440000 198
 
6.5%
3430000 209
 
6.9%
3420000 360
11.8%
3410000 395
13.0%

관리번호
Text

UNIQUE 

Distinct3038
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
2023-12-11T05:07:58.280858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters66836
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

Unique3038 ?
Unique (%)100.0%

Sample

1st row3410000-121-2021-00004
2nd row3410000-121-2007-00010
3rd row3410000-121-2018-00012
4th row3410000-121-2018-00013
5th row3410000-121-2022-00029
ValueCountFrequency (%)
3410000-121-2021-00004 1
 
< 0.1%
3460000-121-2011-00011 1
 
< 0.1%
3460000-121-2011-00004 1
 
< 0.1%
3460000-121-2009-00033 1
 
< 0.1%
3460000-121-2010-00001 1
 
< 0.1%
3460000-121-2010-00027 1
 
< 0.1%
3460000-121-2010-00028 1
 
< 0.1%
3460000-121-2010-00017 1
 
< 0.1%
3460000-121-2010-00018 1
 
< 0.1%
3460000-121-2010-00019 1
 
< 0.1%
Other values (3028) 3028
99.7%
2023-12-11T05:07:58.690102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26871
40.2%
1 9791
 
14.6%
- 9114
 
13.6%
2 7731
 
11.6%
3 3989
 
6.0%
4 3898
 
5.8%
7 1211
 
1.8%
6 1165
 
1.7%
5 1159
 
1.7%
9 1068
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57722
86.4%
Dash Punctuation 9114
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26871
46.6%
1 9791
 
17.0%
2 7731
 
13.4%
3 3989
 
6.9%
4 3898
 
6.8%
7 1211
 
2.1%
6 1165
 
2.0%
5 1159
 
2.0%
9 1068
 
1.9%
8 839
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 9114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 66836
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26871
40.2%
1 9791
 
14.6%
- 9114
 
13.6%
2 7731
 
11.6%
3 3989
 
6.0%
4 3898
 
5.8%
7 1211
 
1.8%
6 1165
 
1.7%
5 1159
 
1.7%
9 1068
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26871
40.2%
1 9791
 
14.6%
- 9114
 
13.6%
2 7731
 
11.6%
3 3989
 
6.0%
4 3898
 
5.8%
7 1211
 
1.8%
6 1165
 
1.7%
5 1159
 
1.7%
9 1068
 
1.6%

인허가일자
Real number (ℝ)

Distinct2377
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20099641
Minimum19790328
Maximum20221227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:07:58.865178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19790328
5-th percentile19950328
Q120041104
median20110104
Q320170209
95-th percentile20211217
Maximum20221227
Range430899
Interquartile range (IQR)129105.25

Descriptive statistics

Standard deviation83114.998
Coefficient of variation (CV)0.0041351484
Kurtosis0.20238669
Mean20099641
Median Absolute Deviation (MAD)60207
Skewness-0.65746811
Sum6.1062709 × 1010
Variance6.9081029 × 109
MonotonicityNot monotonic
2023-12-11T05:07:59.011206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19940217 7
 
0.2%
20161206 7
 
0.2%
20110802 6
 
0.2%
20161212 5
 
0.2%
20150504 4
 
0.1%
20180119 4
 
0.1%
20110823 4
 
0.1%
20101213 4
 
0.1%
20150617 4
 
0.1%
20031117 4
 
0.1%
Other values (2367) 2989
98.4%
ValueCountFrequency (%)
19790328 1
< 0.1%
19800612 1
< 0.1%
19801024 1
< 0.1%
19801114 1
< 0.1%
19810114 1
< 0.1%
19810720 1
< 0.1%
19810905 1
< 0.1%
19810914 1
< 0.1%
19811007 1
< 0.1%
19811008 1
< 0.1%
ValueCountFrequency (%)
20221227 1
< 0.1%
20221223 1
< 0.1%
20221222 1
< 0.1%
20221219 1
< 0.1%
20221212 1
< 0.1%
20221209 1
< 0.1%
20221130 2
0.1%
20221129 1
< 0.1%
20221128 2
0.1%
20221124 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3038
Missing (%)100.0%
Memory size26.8 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
3
2072 
1
966 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2072
68.2%
1 966
31.8%

Length

2023-12-11T05:07:59.165735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:07:59.290068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2072
68.2%
1 966
31.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
폐업
2072 
영업/정상
966 

Length

Max length5
Median length2
Mean length2.9539171
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2072
68.2%
영업/정상 966
31.8%

Length

2023-12-11T05:07:59.424086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:07:59.552387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2072
68.2%
영업/정상 966
31.8%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
2
2072 
1
966 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 2072
68.2%
1 966
31.8%

Length

2023-12-11T05:07:59.672082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:07:59.786019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2072
68.2%
1 966
31.8%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
폐업
2072 
영업
966 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2072
68.2%
영업 966
31.8%

Length

2023-12-11T05:07:59.921974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:00.054495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2072
68.2%
영업 966
31.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct1529
Distinct (%)73.8%
Missing966
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean20137510
Minimum20020319
Maximum20221230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:08:00.214895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020319
5-th percentile20051205
Q120090809
median20140620
Q320181116
95-th percentile20220512
Maximum20221230
Range200911
Interquartile range (IQR)90307

Descriptive statistics

Standard deviation53871.69
Coefficient of variation (CV)0.0026751913
Kurtosis-1.1984906
Mean20137510
Median Absolute Deviation (MAD)49416.5
Skewness-0.10257861
Sum4.172492 × 1010
Variance2.902159 × 109
MonotonicityNot monotonic
2023-12-11T05:08:00.392892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211031 10
 
0.3%
20051111 7
 
0.2%
20180207 7
 
0.2%
20221110 6
 
0.2%
20190108 6
 
0.2%
20130129 6
 
0.2%
20141231 5
 
0.2%
20220120 5
 
0.2%
20220518 5
 
0.2%
20050125 5
 
0.2%
Other values (1519) 2010
66.2%
(Missing) 966
31.8%
ValueCountFrequency (%)
20020319 1
< 0.1%
20020423 1
< 0.1%
20020611 2
0.1%
20020704 1
< 0.1%
20021017 1
< 0.1%
20030228 1
< 0.1%
20030304 2
0.1%
20030408 1
< 0.1%
20030522 1
< 0.1%
20030616 1
< 0.1%
ValueCountFrequency (%)
20221230 1
 
< 0.1%
20221229 2
0.1%
20221227 1
 
< 0.1%
20221226 4
0.1%
20221223 1
 
< 0.1%
20221222 1
 
< 0.1%
20221221 1
 
< 0.1%
20221220 2
0.1%
20221216 1
 
< 0.1%
20221215 2
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3038
Missing (%)100.0%
Memory size26.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3038
Missing (%)100.0%
Memory size26.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3038
Missing (%)100.0%
Memory size26.8 KiB

소재지전화
Text

MISSING 

Distinct1619
Distinct (%)93.5%
Missing1307
Missing (%)43.0%
Memory size23.9 KiB
2023-12-11T05:08:00.792861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.733102
Min length3

Characters and Unicode

Total characters18579
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

Unique1536 ?
Unique (%)88.7%

Sample

1st row053 6092990
2nd row053 4208720
3rd row053 2560359
4th row005302526001
5th row053 2560453
ValueCountFrequency (%)
053 1374
36.5%
070 23
 
0.6%
741 11
 
0.3%
793 11
 
0.3%
311 10
 
0.3%
2452901 10
 
0.3%
639 9
 
0.2%
380 9
 
0.2%
794 9
 
0.2%
766 8
 
0.2%
Other values (1727) 2295
60.9%
2023-12-11T05:08:01.418232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2990
16.1%
0 2657
14.3%
3 2614
14.1%
2064
11.1%
2 1490
8.0%
6 1341
7.2%
7 1219
6.6%
4 1144
 
6.2%
1 1108
 
6.0%
8 1037
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16515
88.9%
Space Separator 2064
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2990
18.1%
0 2657
16.1%
3 2614
15.8%
2 1490
9.0%
6 1341
8.1%
7 1219
7.4%
4 1144
 
6.9%
1 1108
 
6.7%
8 1037
 
6.3%
9 915
 
5.5%
Space Separator
ValueCountFrequency (%)
2064
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18579
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2990
16.1%
0 2657
14.3%
3 2614
14.1%
2064
11.1%
2 1490
8.0%
6 1341
7.2%
7 1219
6.6%
4 1144
 
6.2%
1 1108
 
6.0%
8 1037
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2990
16.1%
0 2657
14.3%
3 2614
14.1%
2064
11.1%
2 1490
8.0%
6 1341
7.2%
7 1219
6.6%
4 1144
 
6.2%
1 1108
 
6.0%
8 1037
 
5.6%

소재지면적
Text

MISSING 

Distinct1886
Distinct (%)64.2%
Missing101
Missing (%)3.3%
Memory size23.9 KiB
2023-12-11T05:08:01.844187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.9516513
Min length3

Characters and Unicode

Total characters14543
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

Unique1421 ?
Unique (%)48.4%

Sample

1st row52.60
2nd row1.44
3rd row60.00
4th row9.98
5th row51.40
ValueCountFrequency (%)
00 83
 
2.8%
33.00 21
 
0.7%
3.30 21
 
0.7%
20.00 17
 
0.6%
36.00 15
 
0.5%
30.00 14
 
0.5%
26.40 14
 
0.5%
10.00 13
 
0.4%
40.00 12
 
0.4%
28.00 11
 
0.4%
Other values (1876) 2716
92.5%
2023-12-11T05:08:02.472613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2937
20.2%
0 2441
16.8%
2 1443
9.9%
3 1231
8.5%
4 1165
 
8.0%
5 1030
 
7.1%
1 1025
 
7.0%
6 959
 
6.6%
8 836
 
5.7%
7 746
 
5.1%
Other values (2) 730
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11605
79.8%
Other Punctuation 2938
 
20.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2441
21.0%
2 1443
12.4%
3 1231
10.6%
4 1165
10.0%
5 1030
8.9%
1 1025
8.8%
6 959
 
8.3%
8 836
 
7.2%
7 746
 
6.4%
9 729
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 2937
> 99.9%
, 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 14543
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2937
20.2%
0 2441
16.8%
2 1443
9.9%
3 1231
8.5%
4 1165
 
8.0%
5 1030
 
7.1%
1 1025
 
7.0%
6 959
 
6.6%
8 836
 
5.7%
7 746
 
5.1%
Other values (2) 730
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14543
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2937
20.2%
0 2441
16.8%
2 1443
9.9%
3 1231
8.5%
4 1165
 
8.0%
5 1030
 
7.1%
1 1025
 
7.0%
6 959
 
6.6%
8 836
 
5.7%
7 746
 
5.1%
Other values (2) 730
 
5.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct509
Distinct (%)16.9%
Missing34
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean704199.59
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:08:02.680890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700093
Q1701869.75
median704060
Q3705830
95-th percentile711812
Maximum711891
Range11881
Interquartile range (IQR)3960.25

Descriptive statistics

Standard deviation2760.3167
Coefficient of variation (CV)0.0039197931
Kurtosis0.91668049
Mean704199.59
Median Absolute Deviation (MAD)1972
Skewness0.82427062
Sum2.1154156 × 109
Variance7619348.2
MonotonicityNot monotonic
2023-12-11T05:08:03.160666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700082 87
 
2.9%
706170 42
 
1.4%
702886 40
 
1.3%
701020 34
 
1.1%
706803 28
 
0.9%
704834 28
 
0.9%
700092 26
 
0.9%
702040 26
 
0.9%
702845 25
 
0.8%
700718 24
 
0.8%
Other values (499) 2644
87.0%
(Missing) 34
 
1.1%
ValueCountFrequency (%)
700010 1
 
< 0.1%
700040 3
 
0.1%
700060 8
 
0.3%
700070 18
 
0.6%
700082 87
2.9%
700092 26
 
0.9%
700093 15
 
0.5%
700100 1
 
< 0.1%
700111 1
 
< 0.1%
700150 15
 
0.5%
ValueCountFrequency (%)
711891 6
 
0.2%
711874 5
 
0.2%
711872 1
 
< 0.1%
711864 3
 
0.1%
711863 4
 
0.1%
711862 1
 
< 0.1%
711852 21
0.7%
711845 1
 
< 0.1%
711843 2
 
0.1%
711842 2
 
0.1%
Distinct2698
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
2023-12-11T05:08:03.607333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length49
Mean length26.579329
Min length16

Characters and Unicode

Total characters80748
Distinct characters379
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2526 ?
Unique (%)83.1%

Sample

1st row대구광역시 중구 계산동2가 0200 현대백화점 지하1층
2nd row대구광역시 중구 사일동 0015-0001번지 지히1층
3rd row대구광역시 중구 대신동 0115-0038번지 서문야시장 판매대 제9호
4th row대구광역시 중구 남산동 0911-0002 지상1층
5th row대구광역시 중구 계산동2가 0200 현대백화점 지하1층
ValueCountFrequency (%)
대구광역시 3040
 
20.3%
달서구 593
 
4.0%
수성구 550
 
3.7%
북구 536
 
3.6%
중구 395
 
2.6%
동구 360
 
2.4%
1층 211
 
1.4%
서구 209
 
1.4%
남구 198
 
1.3%
달성군 197
 
1.3%
Other values (3403) 8654
57.9%
2023-12-11T05:08:04.225744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14671
18.2%
6043
 
7.5%
1 4317
 
5.3%
3728
 
4.6%
3581
 
4.4%
0 3326
 
4.1%
3128
 
3.9%
3073
 
3.8%
3053
 
3.8%
2908
 
3.6%
Other values (369) 32920
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45313
56.1%
Decimal Number 17729
 
22.0%
Space Separator 14671
 
18.2%
Dash Punctuation 2226
 
2.8%
Close Punctuation 256
 
0.3%
Open Punctuation 256
 
0.3%
Other Punctuation 148
 
0.2%
Uppercase Letter 132
 
0.2%
Math Symbol 11
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6043
 
13.3%
3728
 
8.2%
3581
 
7.9%
3128
 
6.9%
3073
 
6.8%
3053
 
6.7%
2908
 
6.4%
2208
 
4.9%
1166
 
2.6%
927
 
2.0%
Other values (330) 15498
34.2%
Uppercase Letter
ValueCountFrequency (%)
A 48
36.4%
B 21
15.9%
C 16
 
12.1%
M 7
 
5.3%
S 7
 
5.3%
T 6
 
4.5%
K 6
 
4.5%
D 5
 
3.8%
P 4
 
3.0%
H 3
 
2.3%
Other values (6) 9
 
6.8%
Decimal Number
ValueCountFrequency (%)
1 4317
24.3%
0 3326
18.8%
2 2125
12.0%
3 1479
 
8.3%
5 1282
 
7.2%
4 1243
 
7.0%
6 1116
 
6.3%
8 994
 
5.6%
7 934
 
5.3%
9 913
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 112
75.7%
. 21
 
14.2%
/ 13
 
8.8%
@ 2
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 8
72.7%
+ 2
 
18.2%
1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
83.3%
c 1
 
16.7%
Space Separator
ValueCountFrequency (%)
14671
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2226
100.0%
Close Punctuation
ValueCountFrequency (%)
) 256
100.0%
Open Punctuation
ValueCountFrequency (%)
( 256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45313
56.1%
Common 35297
43.7%
Latin 138
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6043
 
13.3%
3728
 
8.2%
3581
 
7.9%
3128
 
6.9%
3073
 
6.8%
3053
 
6.7%
2908
 
6.4%
2208
 
4.9%
1166
 
2.6%
927
 
2.0%
Other values (330) 15498
34.2%
Common
ValueCountFrequency (%)
14671
41.6%
1 4317
 
12.2%
0 3326
 
9.4%
- 2226
 
6.3%
2 2125
 
6.0%
3 1479
 
4.2%
5 1282
 
3.6%
4 1243
 
3.5%
6 1116
 
3.2%
8 994
 
2.8%
Other values (11) 2518
 
7.1%
Latin
ValueCountFrequency (%)
A 48
34.8%
B 21
15.2%
C 16
 
11.6%
M 7
 
5.1%
S 7
 
5.1%
T 6
 
4.3%
K 6
 
4.3%
D 5
 
3.6%
e 5
 
3.6%
P 4
 
2.9%
Other values (8) 13
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45312
56.1%
ASCII 35434
43.9%
Compat Jamo 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14671
41.4%
1 4317
 
12.2%
0 3326
 
9.4%
- 2226
 
6.3%
2 2125
 
6.0%
3 1479
 
4.2%
5 1282
 
3.6%
4 1243
 
3.5%
6 1116
 
3.1%
8 994
 
2.8%
Other values (28) 2655
 
7.5%
Hangul
ValueCountFrequency (%)
6043
 
13.3%
3728
 
8.2%
3581
 
7.9%
3128
 
6.9%
3073
 
6.8%
3053
 
6.7%
2908
 
6.4%
2208
 
4.9%
1166
 
2.6%
927
 
2.0%
Other values (329) 15497
34.2%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Arrows
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct2015
Distinct (%)91.3%
Missing830
Missing (%)27.3%
Memory size23.9 KiB
2023-12-11T05:08:04.751416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length52
Mean length31.742301
Min length20

Characters and Unicode

Total characters70087
Distinct characters404
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

Unique1941 ?
Unique (%)87.9%

Sample

1st row대구광역시 중구 달구벌대로 2077, 현대백화점 지하1층 (계산동2가)
2nd row대구광역시 중구 국채보상로 지하 585, 1층 (사일동)
3rd row대구광역시 중구 명륜로23길 105, 지상1층 (남산동)
4th row대구광역시 중구 달구벌대로 2077, 현대백화점 지하1층 (계산동2가)
5th row대구광역시 중구 공평로 101-1, 지상 1층 (교동)
ValueCountFrequency (%)
대구광역시 2209
 
15.9%
1층 717
 
5.2%
달서구 450
 
3.2%
북구 393
 
2.8%
수성구 372
 
2.7%
중구 310
 
2.2%
동구 275
 
2.0%
달구벌대로 192
 
1.4%
달성군 155
 
1.1%
남구 143
 
1.0%
Other values (2319) 8647
62.4%
2023-12-11T05:08:05.520786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11655
 
16.6%
4781
 
6.8%
1 3466
 
4.9%
3204
 
4.6%
3179
 
4.5%
2305
 
3.3%
2269
 
3.2%
2221
 
3.2%
2196
 
3.1%
) 2191
 
3.1%
Other values (394) 32620
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40472
57.7%
Space Separator 11655
 
16.6%
Decimal Number 11072
 
15.8%
Close Punctuation 2191
 
3.1%
Open Punctuation 2191
 
3.1%
Other Punctuation 2089
 
3.0%
Dash Punctuation 257
 
0.4%
Uppercase Letter 119
 
0.2%
Lowercase Letter 24
 
< 0.1%
Math Symbol 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4781
 
11.8%
3204
 
7.9%
3179
 
7.9%
2305
 
5.7%
2269
 
5.6%
2221
 
5.5%
2196
 
5.4%
1215
 
3.0%
988
 
2.4%
915
 
2.3%
Other values (345) 17199
42.5%
Uppercase Letter
ValueCountFrequency (%)
A 35
29.4%
B 19
16.0%
C 12
 
10.1%
M 9
 
7.6%
S 7
 
5.9%
H 6
 
5.0%
D 6
 
5.0%
K 5
 
4.2%
L 3
 
2.5%
T 3
 
2.5%
Other values (8) 14
 
11.8%
Lowercase Letter
ValueCountFrequency (%)
e 8
33.3%
c 3
 
12.5%
a 3
 
12.5%
i 2
 
8.3%
m 1
 
4.2%
d 1
 
4.2%
r 1
 
4.2%
w 1
 
4.2%
t 1
 
4.2%
l 1
 
4.2%
Other values (2) 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 3466
31.3%
2 1535
13.9%
0 1255
 
11.3%
3 993
 
9.0%
4 803
 
7.3%
5 738
 
6.7%
6 660
 
6.0%
7 659
 
6.0%
9 496
 
4.5%
8 467
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 2077
99.4%
. 9
 
0.4%
/ 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 14
82.4%
+ 3
 
17.6%
Space Separator
ValueCountFrequency (%)
11655
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 257
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40472
57.7%
Common 29472
42.1%
Latin 143
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4781
 
11.8%
3204
 
7.9%
3179
 
7.9%
2305
 
5.7%
2269
 
5.6%
2221
 
5.5%
2196
 
5.4%
1215
 
3.0%
988
 
2.4%
915
 
2.3%
Other values (345) 17199
42.5%
Latin
ValueCountFrequency (%)
A 35
24.5%
B 19
13.3%
C 12
 
8.4%
M 9
 
6.3%
e 8
 
5.6%
S 7
 
4.9%
H 6
 
4.2%
D 6
 
4.2%
K 5
 
3.5%
c 3
 
2.1%
Other values (20) 33
23.1%
Common
ValueCountFrequency (%)
11655
39.5%
1 3466
 
11.8%
) 2191
 
7.4%
( 2191
 
7.4%
, 2077
 
7.0%
2 1535
 
5.2%
0 1255
 
4.3%
3 993
 
3.4%
4 803
 
2.7%
5 738
 
2.5%
Other values (9) 2568
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40472
57.7%
ASCII 29615
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11655
39.4%
1 3466
 
11.7%
) 2191
 
7.4%
( 2191
 
7.4%
, 2077
 
7.0%
2 1535
 
5.2%
0 1255
 
4.2%
3 993
 
3.4%
4 803
 
2.7%
5 738
 
2.5%
Other values (39) 2711
 
9.2%
Hangul
ValueCountFrequency (%)
4781
 
11.8%
3204
 
7.9%
3179
 
7.9%
2305
 
5.7%
2269
 
5.6%
2221
 
5.5%
2196
 
5.4%
1215
 
3.0%
988
 
2.4%
915
 
2.3%
Other values (345) 17199
42.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct786
Distinct (%)35.9%
Missing847
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean42056.959
Minimum41002
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:08:05.732295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41126.5
Q141557
median42009
Q342621
95-th percentile42926
Maximum43024
Range2022
Interquartile range (IQR)1064

Descriptive statistics

Standard deviation570.54519
Coefficient of variation (CV)0.013566011
Kurtosis-1.1407073
Mean42056.959
Median Absolute Deviation (MAD)494
Skewness-0.038120186
Sum92146797
Variance325521.81
MonotonicityNot monotonic
2023-12-11T05:08:05.975440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41936 88
 
2.9%
41229 57
 
1.9%
41581 22
 
0.7%
41953 22
 
0.7%
41423 18
 
0.6%
41942 17
 
0.6%
41938 17
 
0.6%
41515 14
 
0.5%
41422 13
 
0.4%
42760 13
 
0.4%
Other values (776) 1910
62.9%
(Missing) 847
27.9%
ValueCountFrequency (%)
41002 3
0.1%
41003 2
 
0.1%
41005 3
0.1%
41007 2
 
0.1%
41009 1
 
< 0.1%
41020 1
 
< 0.1%
41026 7
0.2%
41027 1
 
< 0.1%
41029 1
 
< 0.1%
41030 1
 
< 0.1%
ValueCountFrequency (%)
43024 1
 
< 0.1%
43018 11
0.4%
43017 5
0.2%
43014 5
0.2%
43009 2
 
0.1%
43008 3
 
0.1%
43005 2
 
0.1%
43004 1
 
< 0.1%
43003 3
 
0.1%
42999 1
 
< 0.1%
Distinct2391
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
2023-12-11T05:08:06.486527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length7.5032916
Min length1

Characters and Unicode

Total characters22795
Distinct characters686
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2082 ?
Unique (%)68.5%

Sample

1st row베즐리
2nd row(주)신라명과 파티직매장
3rd row찌나케이크
4th row바로널위한당충전소
5th row보정당앞산
ValueCountFrequency (%)
파리바게뜨 81
 
2.2%
베이커리 65
 
1.8%
뚜레쥬르 55
 
1.5%
마들렌베이커리 24
 
0.7%
크라운베이커리 22
 
0.6%
반월당고로케 20
 
0.5%
대백베이커리 17
 
0.5%
뉴욕베이커리 17
 
0.5%
빵굽는마을 17
 
0.5%
던킨도너츠 13
 
0.4%
Other values (2511) 3324
90.9%
2023-12-11T05:08:07.181940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1184
 
5.2%
994
 
4.4%
930
 
4.1%
767
 
3.4%
719
 
3.2%
618
 
2.7%
418
 
1.8%
) 393
 
1.7%
( 392
 
1.7%
383
 
1.7%
Other values (676) 15997
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19934
87.4%
Lowercase Letter 695
 
3.0%
Space Separator 618
 
2.7%
Uppercase Letter 556
 
2.4%
Close Punctuation 393
 
1.7%
Open Punctuation 392
 
1.7%
Decimal Number 168
 
0.7%
Other Punctuation 31
 
0.1%
Dash Punctuation 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1184
 
5.9%
994
 
5.0%
930
 
4.7%
767
 
3.8%
719
 
3.6%
418
 
2.1%
383
 
1.9%
339
 
1.7%
336
 
1.7%
298
 
1.5%
Other values (606) 13566
68.1%
Lowercase Letter
ValueCountFrequency (%)
e 103
14.8%
o 68
 
9.8%
a 68
 
9.8%
r 47
 
6.8%
n 46
 
6.6%
i 46
 
6.6%
c 32
 
4.6%
k 31
 
4.5%
t 30
 
4.3%
s 29
 
4.2%
Other values (15) 195
28.1%
Uppercase Letter
ValueCountFrequency (%)
E 55
 
9.9%
B 51
 
9.2%
A 48
 
8.6%
K 43
 
7.7%
R 42
 
7.6%
O 40
 
7.2%
M 29
 
5.2%
N 28
 
5.0%
S 26
 
4.7%
T 26
 
4.7%
Other values (14) 168
30.2%
Decimal Number
ValueCountFrequency (%)
2 46
27.4%
1 36
21.4%
3 21
12.5%
0 16
 
9.5%
5 13
 
7.7%
6 9
 
5.4%
9 9
 
5.4%
7 7
 
4.2%
8 6
 
3.6%
4 5
 
3.0%
Other Punctuation
ValueCountFrequency (%)
& 10
32.3%
. 9
29.0%
, 6
19.4%
' 3
 
9.7%
: 3
 
9.7%
Space Separator
ValueCountFrequency (%)
618
100.0%
Close Punctuation
ValueCountFrequency (%)
) 393
100.0%
Open Punctuation
ValueCountFrequency (%)
( 392
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19926
87.4%
Common 1609
 
7.1%
Latin 1252
 
5.5%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1184
 
5.9%
994
 
5.0%
930
 
4.7%
767
 
3.8%
719
 
3.6%
418
 
2.1%
383
 
1.9%
339
 
1.7%
336
 
1.7%
298
 
1.5%
Other values (599) 13558
68.0%
Latin
ValueCountFrequency (%)
e 103
 
8.2%
o 68
 
5.4%
a 68
 
5.4%
E 55
 
4.4%
B 51
 
4.1%
A 48
 
3.8%
r 47
 
3.8%
n 46
 
3.7%
i 46
 
3.7%
K 43
 
3.4%
Other values (40) 677
54.1%
Common
ValueCountFrequency (%)
618
38.4%
) 393
24.4%
( 392
24.4%
2 46
 
2.9%
1 36
 
2.2%
3 21
 
1.3%
0 16
 
1.0%
5 13
 
0.8%
& 10
 
0.6%
. 9
 
0.6%
Other values (10) 55
 
3.4%
Han
ValueCountFrequency (%)
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19926
87.4%
ASCII 2860
 
12.5%
CJK 6
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1184
 
5.9%
994
 
5.0%
930
 
4.7%
767
 
3.8%
719
 
3.6%
418
 
2.1%
383
 
1.9%
339
 
1.7%
336
 
1.7%
298
 
1.5%
Other values (599) 13558
68.0%
ASCII
ValueCountFrequency (%)
618
21.6%
) 393
 
13.7%
( 392
 
13.7%
e 103
 
3.6%
o 68
 
2.4%
a 68
 
2.4%
E 55
 
1.9%
B 51
 
1.8%
A 48
 
1.7%
r 47
 
1.6%
Other values (59) 1017
35.6%
CJK Compat Ideographs
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Number Forms
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct2794
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.014361 × 1013
Minimum2.001081 × 1013
Maximum2.022123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:08:07.401494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001081 × 1013
5-th percentile2.0020925 × 1013
Q12.0090822 × 1013
median2.0161005 × 1013
Q32.0201126 × 1013
95-th percentile2.0220811 × 1013
Maximum2.022123 × 1013
Range2.1042014 × 1011
Interquartile range (IQR)1.1030403 × 1011

Descriptive statistics

Standard deviation6.5781127 × 1010
Coefficient of variation (CV)0.0032656076
Kurtosis-1.0396962
Mean2.014361 × 1013
Median Absolute Deviation (MAD)4.9876533 × 1010
Skewness-0.52552802
Sum6.1196288 × 1016
Variance4.3271567 × 1021
MonotonicityNot monotonic
2023-12-11T05:08:07.632031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041008000000 21
 
0.7%
20020919000000 19
 
0.6%
20021024000000 13
 
0.4%
20020916000000 12
 
0.4%
20211101041509 10
 
0.3%
20020918000000 9
 
0.3%
20021101000000 8
 
0.3%
20020830000000 6
 
0.2%
20021209000000 6
 
0.2%
20221111041509 5
 
0.2%
Other values (2784) 2929
96.4%
ValueCountFrequency (%)
20010810000000 2
0.1%
20010811000000 2
0.1%
20010816000000 1
< 0.1%
20010817000000 2
0.1%
20011030000000 1
< 0.1%
20011031000000 2
0.1%
20011101000000 1
< 0.1%
20011102000000 1
< 0.1%
20011105000000 2
0.1%
20011107000000 1
< 0.1%
ValueCountFrequency (%)
20221230144334 1
< 0.1%
20221229150018 1
< 0.1%
20221229143445 1
< 0.1%
20221227160647 1
< 0.1%
20221227151648 1
< 0.1%
20221227145312 1
< 0.1%
20221227093139 1
< 0.1%
20221226161636 1
< 0.1%
20221226154242 1
< 0.1%
20221226150949 1
< 0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
I
1928 
U
1110 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1928
63.5%
U 1110
36.5%

Length

2023-12-11T05:08:07.817996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:07.931006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1928
63.5%
u 1110
36.5%
Distinct723
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-01 02:40:00
2023-12-11T05:08:08.056288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:08:08.235908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
제과점영업
3036 
푸드트럭
 
2

Length

Max length5
Median length5
Mean length4.9993417
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 3036
99.9%
푸드트럭 2
 
0.1%

Length

2023-12-11T05:08:08.436284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:08.578825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3036
99.9%
푸드트럭 2
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2101
Distinct (%)70.9%
Missing73
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean343090.75
Minimum327860.09
Maximum358046.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:08:08.714549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327860.09
5-th percentile334460.8
Q1339575.37
median343588.74
Q3346227.11
95-th percentile353503.11
Maximum358046.4
Range30186.309
Interquartile range (IQR)6651.738

Descriptive statistics

Standard deviation5212.5696
Coefficient of variation (CV)0.015192976
Kurtosis0.27150643
Mean343090.75
Median Absolute Deviation (MAD)3448.5064
Skewness0.080236843
Sum1.0172641 × 109
Variance27170882
MonotonicityNot monotonic
2023-12-11T05:08:08.925573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343588.735554802 84
 
2.8%
347037.241970286 43
 
1.4%
345032.238220744 42
 
1.4%
344052.576927614 27
 
0.9%
344047.979265366 17
 
0.6%
340320.722709596 13
 
0.4%
339047.793378934 12
 
0.4%
343705.561002201 12
 
0.4%
347008.220868672 12
 
0.4%
345549.110170479 10
 
0.3%
Other values (2091) 2693
88.6%
(Missing) 73
 
2.4%
ValueCountFrequency (%)
327860.094826932 1
< 0.1%
327994.771470839 1
< 0.1%
328015.993727317 1
< 0.1%
328158.321294062 1
< 0.1%
328209.62528164 1
< 0.1%
328226.964839458 1
< 0.1%
329894.345197953 1
< 0.1%
329898.834237202 1
< 0.1%
330013.03578216 1
< 0.1%
330084.748297129 1
< 0.1%
ValueCountFrequency (%)
358046.403776034 1
< 0.1%
357908.123249657 1
< 0.1%
357881.329153021 1
< 0.1%
356471.866447117 1
< 0.1%
356437.578420985 1
< 0.1%
356425.755844676 1
< 0.1%
356353.915440362 2
0.1%
356351.120591088 1
< 0.1%
356312.340344376 1
< 0.1%
356223.244084316 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2101
Distinct (%)70.9%
Missing73
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean263303.79
Minimum240452.6
Maximum277860.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:08:09.144902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240452.6
5-th percentile257426.1
Q1261248.04
median263397.32
Q3265364.56
95-th percentile271450.45
Maximum277860.93
Range37408.331
Interquartile range (IQR)4116.5269

Descriptive statistics

Standard deviation4497.8608
Coefficient of variation (CV)0.0170824
Kurtosis4.2900819
Mean263303.79
Median Absolute Deviation (MAD)2010.0813
Skewness-0.9205432
Sum7.8069575 × 108
Variance20230752
MonotonicityNot monotonic
2023-12-11T05:08:09.344450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264119.010750105 84
 
2.8%
265407.404336831 43
 
1.4%
262949.871621315 42
 
1.4%
265131.653371228 27
 
0.9%
264405.128695786 17
 
0.6%
272735.675659876 13
 
0.4%
258741.902180368 12
 
0.4%
264056.630948974 12
 
0.4%
265529.893275436 12
 
0.4%
268620.845678103 10
 
0.3%
Other values (2091) 2693
88.6%
(Missing) 73
 
2.4%
ValueCountFrequency (%)
240452.595560483 1
< 0.1%
240482.499847429 1
< 0.1%
240483.091393275 1
< 0.1%
240483.177406236 1
< 0.1%
240839.348977562 1
< 0.1%
240868.088250356 1
< 0.1%
242735.533882088 1
< 0.1%
244467.090015024 1
< 0.1%
244543.552402647 1
< 0.1%
244568.221075348 1
< 0.1%
ValueCountFrequency (%)
277860.926383971 1
< 0.1%
275847.996576855 1
< 0.1%
274018.517121741 1
< 0.1%
274001.578647157 2
0.1%
273719.251934542 1
< 0.1%
273712.08248913 1
< 0.1%
273612.928445585 1
< 0.1%
273587.706163655 1
< 0.1%
273506.093893371 1
< 0.1%
273488.903328697 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
제과점영업
3036 
푸드트럭
 
2

Length

Max length5
Median length5
Mean length4.9993417
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 3036
99.9%
푸드트럭 2
 
0.1%

Length

2023-12-11T05:08:09.544137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:09.695289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3036
99.9%
푸드트럭 2
 
0.1%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.6%
Missing1339
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean0.42613302
Minimum0
Maximum17
Zeros1243
Zeros (%)40.9%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:08:09.831306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum17
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.98321595
Coefficient of variation (CV)2.3072982
Kurtosis70.446899
Mean0.42613302
Median Absolute Deviation (MAD)0
Skewness6.0222628
Sum724
Variance0.9667136
MonotonicityNot monotonic
2023-12-11T05:08:09.983071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1243
40.9%
1 304
 
10.0%
2 96
 
3.2%
3 34
 
1.1%
4 13
 
0.4%
5 3
 
0.1%
7 2
 
0.1%
13 1
 
< 0.1%
6 1
 
< 0.1%
17 1
 
< 0.1%
(Missing) 1339
44.1%
ValueCountFrequency (%)
0 1243
40.9%
1 304
 
10.0%
2 96
 
3.2%
3 34
 
1.1%
4 13
 
0.4%
5 3
 
0.1%
6 1
 
< 0.1%
7 2
 
0.1%
9 1
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
13 1
 
< 0.1%
9 1
 
< 0.1%
7 2
 
0.1%
6 1
 
< 0.1%
5 3
 
0.1%
4 13
 
0.4%
3 34
 
1.1%
2 96
 
3.2%
1 304
10.0%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)0.8%
Missing1263
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean0.62985915
Minimum0
Maximum47
Zeros1196
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:08:10.158681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum47
Range47
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6500175
Coefficient of variation (CV)2.6196611
Kurtosis361.5963
Mean0.62985915
Median Absolute Deviation (MAD)0
Skewness14.312287
Sum1118
Variance2.7225578
MonotonicityNot monotonic
2023-12-11T05:08:10.333246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 1196
39.4%
1 319
 
10.5%
2 155
 
5.1%
3 58
 
1.9%
4 16
 
0.5%
5 10
 
0.3%
6 10
 
0.3%
7 5
 
0.2%
11 1
 
< 0.1%
18 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 1263
41.6%
ValueCountFrequency (%)
0 1196
39.4%
1 319
 
10.5%
2 155
 
5.1%
3 58
 
1.9%
4 16
 
0.5%
5 10
 
0.3%
6 10
 
0.3%
7 5
 
0.2%
8 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
47 1
 
< 0.1%
18 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
8 1
 
< 0.1%
7 5
 
0.2%
6 10
0.3%
5 10
0.3%
4 16
0.5%
Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
<NA>
1320 
기타
884 
주택가주변
396 
아파트지역
349 
유흥업소밀집지역
 
50
Other values (3)
 
39

Length

Max length8
Median length7
Mean length3.7801185
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1320
43.4%
기타 884
29.1%
주택가주변 396
 
13.0%
아파트지역 349
 
11.5%
유흥업소밀집지역 50
 
1.6%
학교정화(상대) 29
 
1.0%
학교정화(절대) 9
 
0.3%
결혼예식장주변 1
 
< 0.1%

Length

2023-12-11T05:08:10.499441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:10.675061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1320
43.4%
기타 884
29.1%
주택가주변 396
 
13.0%
아파트지역 349
 
11.5%
유흥업소밀집지역 50
 
1.6%
학교정화(상대 29
 
1.0%
학교정화(절대 9
 
0.3%
결혼예식장주변 1
 
< 0.1%

등급구분명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
<NA>
2157 
자율
643 
기타
235 
 
3

Length

Max length4
Median length4
Mean length3.4190257
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2157
71.0%
자율 643
 
21.2%
기타 235
 
7.7%
3
 
0.1%

Length

2023-12-11T05:08:10.890341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:11.063412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2157
71.0%
자율 643
 
21.2%
기타 235
 
7.7%
3
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
상수도전용
2301 
<NA>
734 
전용상수도(특정시설의 자가용 수도)
 
2
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length19
Median length5
Mean length4.7715602
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 2301
75.7%
<NA> 734
 
24.2%
전용상수도(특정시설의 자가용 수도) 2
 
0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

Length

2023-12-11T05:08:11.322492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:11.515202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 2301
75.6%
na 734
 
24.1%
전용상수도(특정시설의 2
 
0.1%
자가용 2
 
0.1%
수도 2
 
0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
<NA>
2553 
0
485 

Length

Max length4
Median length4
Mean length3.5210665
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2553
84.0%
0 485
 
16.0%

Length

2023-12-11T05:08:11.714213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:11.873997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2553
84.0%
0 485
 
16.0%

본사직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
<NA>
2547 
0
491 

Length

Max length4
Median length4
Mean length3.5151415
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2547
83.8%
0 491
 
16.2%

Length

2023-12-11T05:08:12.038302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:12.217354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2547
83.8%
0 491
 
16.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
<NA>
2547 
0
491 

Length

Max length4
Median length4
Mean length3.5151415
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2547
83.8%
0 491
 
16.2%

Length

2023-12-11T05:08:12.415203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:12.599957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2547
83.8%
0 491
 
16.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
<NA>
2547 
0
491 

Length

Max length4
Median length4
Mean length3.5151415
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2547
83.8%
0 491
 
16.2%

Length

2023-12-11T05:08:13.201165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:13.465023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2547
83.8%
0 491
 
16.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
<NA>
2547 
0
491 

Length

Max length4
Median length4
Mean length3.5151415
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2547
83.8%
0 491
 
16.2%

Length

2023-12-11T05:08:13.675098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:13.827124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2547
83.8%
0 491
 
16.2%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3038
Missing (%)100.0%
Memory size26.8 KiB

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
<NA>
2547 
0
491 

Length

Max length4
Median length4
Mean length3.5151415
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2547
83.8%
0 491
 
16.2%

Length

2023-12-11T05:08:14.026562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:14.221157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2547
83.8%
0 491
 
16.2%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
<NA>
2547 
0
491 

Length

Max length4
Median length4
Mean length3.5151415
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2547
83.8%
0 491
 
16.2%

Length

2023-12-11T05:08:14.411143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:08:14.609169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2547
83.8%
0 491
 
16.2%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
False
2996 
True
 
42
ValueCountFrequency (%)
False 2996
98.6%
True 42
 
1.4%
2023-12-11T05:08:14.740571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct1905
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.494381
Minimum0
Maximum1300
Zeros152
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2023-12-11T05:08:14.921221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.765
Q122.7925
median35.055
Q356.13
95-th percentile116.16
Maximum1300
Range1300
Interquartile range (IQR)33.3375

Descriptive statistics

Standard deviation53.870131
Coefficient of variation (CV)1.1586374
Kurtosis135.70671
Mean46.494381
Median Absolute Deviation (MAD)15.02
Skewness8.3696449
Sum141249.93
Variance2901.991
MonotonicityNot monotonic
2023-12-11T05:08:15.172369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 152
 
5.0%
33.0 21
 
0.7%
3.3 21
 
0.7%
20.0 17
 
0.6%
36.0 16
 
0.5%
26.4 14
 
0.5%
30.0 13
 
0.4%
10.0 13
 
0.4%
40.0 12
 
0.4%
32.0 12
 
0.4%
Other values (1895) 2747
90.4%
ValueCountFrequency (%)
0.0 152
5.0%
0.9 1
 
< 0.1%
1.0 4
 
0.1%
1.2 1
 
< 0.1%
1.44 3
 
0.1%
1.5 3
 
0.1%
1.55 1
 
< 0.1%
1.6 2
 
0.1%
1.69 1
 
< 0.1%
1.92 1
 
< 0.1%
ValueCountFrequency (%)
1300.0 1
< 0.1%
787.0 1
< 0.1%
734.07 1
< 0.1%
732.0 1
< 0.1%
613.0 1
< 0.1%
504.1 1
< 0.1%
432.0 1
< 0.1%
424.58 1
< 0.1%
415.0 1
< 0.1%
401.85 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3038
Missing (%)100.0%
Memory size26.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3038
Missing (%)100.0%
Memory size26.8 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3038
Missing (%)100.0%
Memory size26.8 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01제과점영업07_22_18_P34100003410000-121-2021-0000420210309<NA>3폐업2폐업20210314<NA><NA><NA><NA><NA>700082대구광역시 중구 계산동2가 0200 현대백화점 지하1층대구광역시 중구 달구벌대로 2077, 현대백화점 지하1층 (계산동2가)41936베즐리20210315041509U2021-03-17 02:40:00.0제과점영업343588.735555264119.01075제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
12제과점영업07_22_18_P34100003410000-121-2007-0001020070910<NA>3폐업2폐업20121228<NA><NA><NA>053 609299052.60700040대구광역시 중구 사일동 0015-0001번지 지히1층대구광역시 중구 국채보상로 지하 585, 1층 (사일동)<NA>(주)신라명과 파티직매장20111125165518I2018-08-31 23:59:59.0제과점영업343932.18838264630.944873제과점영업35기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N52.6<NA><NA><NA>
23제과점영업07_22_18_P34100003410000-121-2018-0001220181016<NA>3폐업2폐업20190812<NA><NA><NA><NA>1.44700320대구광역시 중구 대신동 0115-0038번지 서문야시장 판매대 제9호<NA><NA>찌나케이크20190812174054U2019-08-14 02:40:00.0제과점영업342704.914455264369.662438제과점영업<NA><NA>기타자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N1.44<NA><NA><NA>
34제과점영업07_22_18_P34100003410000-121-2018-0001320180605<NA>3폐업2폐업20201123<NA><NA><NA><NA>60.00700802대구광역시 중구 남산동 0911-0002 지상1층대구광역시 중구 명륜로23길 105, 지상1층 (남산동)41957바로널위한당충전소20201123171546U2020-11-25 02:40:00.0제과점영업343946.673339263884.482622제과점영업<NA><NA>주택가주변<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N60.0<NA><NA><NA>
45제과점영업07_22_18_P34100003410000-121-2022-0002920220823<NA>3폐업2폐업20220925<NA><NA><NA><NA>9.98700082대구광역시 중구 계산동2가 0200 현대백화점 지하1층대구광역시 중구 달구벌대로 2077, 현대백화점 지하1층 (계산동2가)41936보정당앞산20220926041509U2022-09-28 02:40:00.0제과점영업343588.735555264119.01075제과점영업00<NA><NA><NA>00000<NA>00N9.98<NA><NA><NA>
56제과점영업07_22_18_P34100003410000-121-2018-0001420181119<NA>3폐업2폐업20220105<NA><NA><NA><NA>51.40700800대구광역시 중구 교동 0018-0004 지상 1층대구광역시 중구 공평로 101-1, 지상 1층 (교동)41910영카롱카페20220105100020U2022-01-07 02:40:00.0제과점영업344512.566185264848.604607제과점영업00<NA><NA>상수도전용00000<NA>00N51.4<NA><NA><NA>
67제과점영업07_22_18_P34100003410000-121-2020-0001620201214<NA>3폐업2폐업20201230<NA><NA><NA><NA>3.30700082대구광역시 중구 계산동2가 0200 현대백화점 지하1층대구광역시 중구 달구벌대로 2077, 현대백화점 지하1층 (계산동2가)41936베즐리20201230161749U2021-01-01 02:40:00.0제과점영업343588.735555264119.01075제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N3.3<NA><NA><NA>
78제과점영업07_22_18_P34100003410000-121-2021-0000120210114<NA>3폐업2폐업20210927<NA><NA><NA><NA>15.93700060대구광역시 중구 남일동 0119-0003 1층대구광역시 중구 중앙대로 405, 1층 (남일동)41935대박푸드카페20210927172738U2021-09-29 02:40:00.0제과점영업343845.320307264415.633836제과점영업00<NA><NA>상수도전용00000<NA>00N15.93<NA><NA><NA>
89제과점영업07_22_18_P34100003410000-121-2021-0000220210208<NA>3폐업2폐업20210214<NA><NA><NA><NA><NA>700082대구광역시 중구 계산동2가 0200 현대백화점 지하1층대구광역시 중구 달구벌대로 2077, 현대백화점 지하1층 (계산동2가)41936글라소디20210215041509U2021-02-17 02:40:00.0제과점영업343588.735555264119.01075제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
910제과점영업07_22_18_P34100003410000-121-2022-0001920220609<NA>3폐업2폐업20220623<NA><NA><NA><NA><NA>700082대구광역시 중구 계산동2가 0200 현대백화점 지하1층대구광역시 중구 달구벌대로 2077, 현대백화점 지하1층 (계산동2가)41936보정당앞산20220624041510U2022-06-26 02:40:00.0제과점영업343588.735555264119.01075제과점영업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
30283029제과점영업07_22_18_P34800003480000-121-2016-0000320160310<NA>1영업/정상1영업<NA><NA><NA><NA><NA>95.57711843대구광역시 달성군 옥포면 교항리 2919번지대구광역시 달성군 옥포면 돌미상업로 9, 1층 105,106호42974파리바게트 대구옥포점20160422110702I2018-08-31 23:59:59.0제과점영업330283.226863254512.172379제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N95.57<NA><NA><NA>
30293030제과점영업07_22_18_P34800003480000-121-2016-0000420160316<NA>1영업/정상1영업<NA><NA><NA><NA>053 611 828491.93<NA>대구광역시 달성군 현풍읍 중리 489-105대구광역시 달성군 현풍읍 테크노상업로 46, 1층 105호43017뚜레쥬르(현풍테크노점)20220921150109U2022-09-24 02:40:00.0제과점영업331472.884846244602.49526제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N91.93<NA><NA><NA>
30303031제과점영업07_22_18_P34800003480000-121-2016-0000520160510<NA>1영업/정상1영업<NA><NA><NA><NA><NA>105.69711812대구광역시 달성군 다사읍 매곡리 1526번지 1층대구광역시 달성군 다사읍 대실역북로2길 137, 1층42911우리밀 레헴20160523094705I2018-08-31 23:59:59.0제과점영업332392.456162263776.054896제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N68.5<NA><NA><NA>
30313032제과점영업07_22_18_P34800003480000-121-2016-0000620160513<NA>1영업/정상1영업<NA><NA><NA><NA>053 581 0045116.94711814대구광역시 달성군 다사읍 세천리 1557-5번지대구광역시 달성군 다사읍 세천북로8길 11, 1층42922우리밀 빵집20160523094525I2018-08-31 23:59:59.0제과점영업333466.083347265290.139921제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N116.94<NA><NA><NA>
30323033제과점영업07_22_18_P34800003480000-121-2016-0000720160608<NA>1영업/정상1영업<NA><NA><NA><NA>053 611 500377.78<NA>대구광역시 달성군 유가읍 봉리 619번지 1층(121, 122호)대구광역시 달성군 유가읍 테크노상업로 120, 1층 121, 122호43018카프리쵸샤20160630160617I2018-08-31 23:59:59.0제과점영업332209.678232244660.404546제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N77.78<NA><NA><NA>
30333034제과점영업07_22_18_P34800003480000-121-2016-0000920160725<NA>1영업/정상1영업<NA><NA><NA><NA>053 617 825291.25<NA>대구광역시 달성군 현풍읍 중리 497-3번지 테크노타워2, 1~2층 105호대구광역시 달성군 현풍읍 테크노상업로 26, 1~2층 105호 (테크노타워2)43017파리바게뜨 테크노중리점20200327092058U2020-03-29 02:40:00.0제과점영업331379.966951244467.090015제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N91.25<NA><NA><NA>
30343035제과점영업07_22_18_P34800003480000-121-2016-0001320161129<NA>1영업/정상1영업<NA><NA><NA><NA><NA>117.81711814대구광역시 달성군 다사읍 세천리 1580-9번지 외 2필지대구광역시 달성군 다사읍 세천로 15742922뚜레쥬르 대구세천점20161223085743I2018-08-31 23:59:59.0제과점영업333467.570339264868.000124제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N117.81<NA><NA><NA>
30353036제과점영업07_22_18_P34800003480000-121-2017-0000120170123<NA>1영업/정상1영업<NA><NA><NA><NA>053 587 820095.62711814대구광역시 달성군 다사읍 세천리 1578-9번지 프라임시티 105호, 106B호대구광역시 달성군 다사읍 세천로 161, 105호, 106B호 (프라임시티)42922파리바게뜨 대구세천점20170823143846I2018-08-31 23:59:59.0제과점영업333506.358418264880.533494제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N95.62<NA><NA><NA>
30363037제과점영업07_22_18_P34800003480000-121-2017-0000620170512<NA>1영업/정상1영업<NA><NA><NA><NA><NA>37.20<NA>대구광역시 달성군 유가읍 봉리 594-1번지대구광역시 달성군 유가읍 테크노중앙대로6길 16-18, 1층43014공존카페베이커리20170602103824I2018-08-31 23:59:59.0제과점영업331999.978797245143.201293제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N37.2<NA><NA><NA>
30373038제과점영업07_22_18_P34800003480000-121-2018-0001020181026<NA>1영업/정상1영업<NA><NA><NA><NA>053 614 825287.77<NA>대구광역시 달성군 유가읍 봉리 619 테크노폴리스 M스퀘어+ 111호대구광역시 달성군 유가읍 테크노상업로 120, 테크노폴리스 M스퀘어+ 1층 111호43018파리바게뜨 테크노유가점20210730142756U2021-08-01 02:40:00.0제과점영업332209.678232244660.404546제과점영업<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N87.77<NA><NA><NA>