Overview

Dataset statistics

Number of variables47
Number of observations3204
Missing cells32619
Missing cells (%)21.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory402.0 B

Variable types

Numeric9
Categorical19
Text6
DateTime4
Unsupported8
Boolean1

Dataset

Description23년08월_6270000_대구광역시_07_22_18_P_제과점영업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000099934&dataSetDetailId=DDI_0000099981&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 (63.5%)Imbalance
다중이용업소여부 is highly imbalanced (89.2%)Imbalance
인허가취소일자 has 3204 (100.0%) missing valuesMissing
폐업일자 has 1009 (31.5%) missing valuesMissing
휴업시작일자 has 3204 (100.0%) missing valuesMissing
휴업종료일자 has 3204 (100.0%) missing valuesMissing
재개업일자 has 3204 (100.0%) missing valuesMissing
소재지전화 has 1451 (45.3%) missing valuesMissing
소재지면적 has 120 (3.7%) missing valuesMissing
소재지우편번호 has 51 (1.6%) missing valuesMissing
도로명전체주소 has 831 (25.9%) missing valuesMissing
도로명우편번호 has 849 (26.5%) missing valuesMissing
좌표정보(X) has 76 (2.4%) missing valuesMissing
좌표정보(Y) has 76 (2.4%) missing valuesMissing
남성종사자수 has 1298 (40.5%) missing valuesMissing
여성종사자수 has 1226 (38.3%) missing valuesMissing
건물소유구분명 has 3204 (100.0%) missing valuesMissing
전통업소지정번호 has 3204 (100.0%) missing valuesMissing
전통업소주된음식 has 3204 (100.0%) missing valuesMissing
홈페이지 has 3204 (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
소재지면적 has 105 (3.3%) zerosZeros
남성종사자수 has 1450 (45.3%) zerosZeros
여성종사자수 has 1398 (43.6%) zerosZeros
시설총규모 has 201 (6.3%) zerosZeros

Reproduction

Analysis started2023-09-23 22:33:15.935501
Analysis finished2023-09-23 22:33:18.359781
Duration2.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3204
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1602.5
Minimum1
Maximum3204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-09-24T07:33:18.489357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile161.15
Q1801.75
median1602.5
Q32403.25
95-th percentile3043.85
Maximum3204
Range3203
Interquartile range (IQR)1601.5

Descriptive statistics

Standard deviation925.05946
Coefficient of variation (CV)0.57726019
Kurtosis-1.2
Mean1602.5
Median Absolute Deviation (MAD)801
Skewness0
Sum5134410
Variance855735
MonotonicityStrictly increasing
2023-09-24T07:33:18.773791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2142 1
 
< 0.1%
2132 1
 
< 0.1%
2133 1
 
< 0.1%
2134 1
 
< 0.1%
2135 1
 
< 0.1%
2136 1
 
< 0.1%
2137 1
 
< 0.1%
2138 1
 
< 0.1%
2139 1
 
< 0.1%
Other values (3194) 3194
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 (%)
3204 1
< 0.1%
3203 1
< 0.1%
3202 1
< 0.1%
3201 1
< 0.1%
3200 1
< 0.1%
3199 1
< 0.1%
3198 1
< 0.1%
3197 1
< 0.1%
3196 1
< 0.1%
3195 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
제과점영업
3204 

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 3204
100.0%

Length

2023-09-24T07:33:18.997195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:19.155830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3204
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
07_22_18_P
3204 

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 3204
100.0%

Length

2023-09-24T07:33:19.298249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:19.449122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_18_p 3204
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3454265
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-09-24T07:33:19.578695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation117834.2
Coefficient of variation (CV)0.034112671
Kurtosis193.99366
Mean3454265
Median Absolute Deviation (MAD)20000
Skewness13.734806
Sum1.1067465 × 1010
Variance1.38849 × 1010
MonotonicityIncreasing
2023-09-24T07:33:19.951813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 607
18.9%
3460000 578
18.0%
3450000 544
17.0%
3410000 429
13.4%
3420000 404
12.6%
3430000 215
 
6.7%
3440000 210
 
6.6%
3480000 202
 
6.3%
5141000 15
 
0.5%
ValueCountFrequency (%)
3410000 429
13.4%
3420000 404
12.6%
3430000 215
 
6.7%
3440000 210
 
6.6%
3450000 544
17.0%
3460000 578
18.0%
3470000 607
18.9%
3480000 202
 
6.3%
5141000 15
 
0.5%
ValueCountFrequency (%)
5141000 15
 
0.5%
3480000 202
 
6.3%
3470000 607
18.9%
3460000 578
18.0%
3450000 544
17.0%
3440000 210
 
6.6%
3430000 215
 
6.7%
3420000 404
12.6%
3410000 429
13.4%

관리번호
Text

UNIQUE 

Distinct3204
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-09-24T07:33:20.211335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters70488
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

Unique3204 ?
Unique (%)100.0%

Sample

1st row3410000-121-2005-00075
2nd row3410000-121-2005-00064
3rd row3410000-121-2005-00068
4th row3410000-121-2005-00002
5th row3410000-121-2005-00077
ValueCountFrequency (%)
3410000-121-2005-00075 1
 
< 0.1%
3460000-121-2014-00001 1
 
< 0.1%
3460000-121-2014-00026 1
 
< 0.1%
3460000-121-2004-00071 1
 
< 0.1%
3460000-121-2009-00008 1
 
< 0.1%
3460000-121-2004-00140 1
 
< 0.1%
3460000-121-2005-00006 1
 
< 0.1%
3460000-121-2005-00007 1
 
< 0.1%
3460000-121-2005-00016 1
 
< 0.1%
3460000-121-2005-00021 1
 
< 0.1%
Other values (3194) 3194
99.7%
2023-09-24T07:33:20.760549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28276
40.1%
1 10268
 
14.6%
- 9612
 
13.6%
2 8319
 
11.8%
3 4329
 
6.1%
4 4101
 
5.8%
7 1240
 
1.8%
6 1207
 
1.7%
5 1199
 
1.7%
9 1080
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60876
86.4%
Dash Punctuation 9612
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28276
46.4%
1 10268
 
16.9%
2 8319
 
13.7%
3 4329
 
7.1%
4 4101
 
6.7%
7 1240
 
2.0%
6 1207
 
2.0%
5 1199
 
2.0%
9 1080
 
1.8%
8 857
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 9612
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70488
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28276
40.1%
1 10268
 
14.6%
- 9612
 
13.6%
2 8319
 
11.8%
3 4329
 
6.1%
4 4101
 
5.8%
7 1240
 
1.8%
6 1207
 
1.7%
5 1199
 
1.7%
9 1080
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70488
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28276
40.1%
1 10268
 
14.6%
- 9612
 
13.6%
2 8319
 
11.8%
3 4329
 
6.1%
4 4101
 
5.8%
7 1240
 
1.8%
6 1207
 
1.7%
5 1199
 
1.7%
9 1080
 
1.5%

인허가일자
Date

Distinct2483
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum1979-03-28 00:00:00
Maximum2023-08-30 00:00:00
2023-09-24T07:33:21.011272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-24T07:33:21.218121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3204
Missing (%)100.0%
Memory size28.3 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
3
2195 
1
1009 

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 2195
68.5%
1 1009
31.5%

Length

2023-09-24T07:33:21.410538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:21.550905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2195
68.5%
1 1009
31.5%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
폐업
2195 
영업/정상
1009 

Length

Max length5
Median length2
Mean length2.9447566
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2195
68.5%
영업/정상 1009
31.5%

Length

2023-09-24T07:33:21.727213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:21.884234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2195
68.5%
영업/정상 1009
31.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2
2195 
1
1009 

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 2195
68.5%
1 1009
31.5%

Length

2023-09-24T07:33:22.056819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:22.203992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2195
68.5%
1 1009
31.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
폐업
2195 
영업
1009 

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 2195
68.5%
영업 1009
31.5%

Length

2023-09-24T07:33:22.361207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:22.525580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2195
68.5%
영업 1009
31.5%

폐업일자
Date

MISSING 

Distinct1608
Distinct (%)73.3%
Missing1009
Missing (%)31.5%
Memory size25.2 KiB
Minimum2002-03-19 00:00:00
Maximum2023-08-31 00:00:00
2023-09-24T07:33:22.709895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-24T07:33:23.014167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3204
Missing (%)100.0%
Memory size28.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3204
Missing (%)100.0%
Memory size28.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3204
Missing (%)100.0%
Memory size28.3 KiB

소재지전화
Text

MISSING 

Distinct1641
Distinct (%)93.6%
Missing1451
Missing (%)45.3%
Memory size25.2 KiB
2023-09-24T07:33:23.580348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.749572
Min length6

Characters and Unicode

Total characters18844
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

Unique1558 ?
Unique (%)88.9%

Sample

1st row053 2513220
2nd row053 2528215
3rd row053 4208720
4th row053 4263422
5th row053 352 8819
ValueCountFrequency (%)
053 1386
36.3%
070 24
 
0.6%
793 11
 
0.3%
741 11
 
0.3%
2452901 10
 
0.3%
311 10
 
0.3%
639 9
 
0.2%
380 9
 
0.2%
794 9
 
0.2%
054 8
 
0.2%
Other values (1753) 2333
61.1%
2023-09-24T07:33:24.398822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3026
16.1%
0 2695
14.3%
3 2657
14.1%
2093
11.1%
2 1508
8.0%
6 1356
7.2%
7 1234
6.5%
4 1163
 
6.2%
1 1117
 
5.9%
8 1065
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16751
88.9%
Space Separator 2093
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3026
18.1%
0 2695
16.1%
3 2657
15.9%
2 1508
9.0%
6 1356
8.1%
7 1234
7.4%
4 1163
 
6.9%
1 1117
 
6.7%
8 1065
 
6.4%
9 930
 
5.6%
Space Separator
ValueCountFrequency (%)
2093
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18844
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3026
16.1%
0 2695
14.3%
3 2657
14.1%
2093
11.1%
2 1508
8.0%
6 1356
7.2%
7 1234
6.5%
4 1163
 
6.2%
1 1117
 
5.9%
8 1065
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18844
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3026
16.1%
0 2695
14.3%
3 2657
14.1%
2093
11.1%
2 1508
8.0%
6 1356
7.2%
7 1234
6.5%
4 1163
 
6.2%
1 1117
 
5.9%
8 1065
 
5.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct1936
Distinct (%)62.8%
Missing120
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean47.329254
Minimum0
Maximum1330
Zeros105
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-09-24T07:33:24.623267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q123
median35.19
Q356.55
95-th percentile117.7035
Maximum1330
Range1330
Interquartile range (IQR)33.55

Descriptive statistics

Standard deviation58.893516
Coefficient of variation (CV)1.2443364
Kurtosis171.2216
Mean47.329254
Median Absolute Deviation (MAD)15.09
Skewness9.962657
Sum145963.42
Variance3468.4462
MonotonicityNot monotonic
2023-09-24T07:33:24.858447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 105
 
3.3%
3.3 32
 
1.0%
20.0 20
 
0.6%
33.0 20
 
0.6%
10.0 16
 
0.5%
6.6 15
 
0.5%
36.0 15
 
0.5%
26.4 15
 
0.5%
30.0 15
 
0.5%
40.0 12
 
0.4%
Other values (1926) 2819
88.0%
(Missing) 120
 
3.7%
ValueCountFrequency (%)
0.0 105
3.3%
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 (%)
1330.0 1
< 0.1%
1300.0 1
< 0.1%
895.05 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%

소재지우편번호
Text

MISSING 

Distinct520
Distinct (%)16.5%
Missing51
Missing (%)1.6%
Memory size25.2 KiB
2023-09-24T07:33:25.340428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters22071
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

Unique128 ?
Unique (%)4.1%

Sample

1st row700-070
2nd row700-180
3rd row700-811
4th row700-160
5th row700-811
ValueCountFrequency (%)
700-082 102
 
3.2%
701-020 63
 
2.0%
706-170 42
 
1.3%
702-886 41
 
1.3%
706-803 30
 
1.0%
700-092 28
 
0.9%
704-834 28
 
0.9%
702-040 26
 
0.8%
702-845 25
 
0.8%
706-836 24
 
0.8%
Other values (510) 2744
87.0%
2023-09-24T07:33:26.136851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4915
22.3%
7 3620
16.4%
- 3153
14.3%
8 2602
11.8%
1 1662
 
7.5%
2 1612
 
7.3%
4 1246
 
5.6%
3 1071
 
4.9%
6 1018
 
4.6%
5 647
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18918
85.7%
Dash Punctuation 3153
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4915
26.0%
7 3620
19.1%
8 2602
13.8%
1 1662
 
8.8%
2 1612
 
8.5%
4 1246
 
6.6%
3 1071
 
5.7%
6 1018
 
5.4%
5 647
 
3.4%
9 525
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 3153
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22071
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4915
22.3%
7 3620
16.4%
- 3153
14.3%
8 2602
11.8%
1 1662
 
7.5%
2 1612
 
7.3%
4 1246
 
5.6%
3 1071
 
4.9%
6 1018
 
4.6%
5 647
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22071
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4915
22.3%
7 3620
16.4%
- 3153
14.3%
8 2602
11.8%
1 1662
 
7.5%
2 1612
 
7.3%
4 1246
 
5.6%
3 1071
 
4.9%
6 1018
 
4.6%
5 647
 
2.9%

소재지전체주소
Text

Distinct2811
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-09-24T07:33:26.681083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length51
Mean length26.565543
Min length16

Characters and Unicode

Total characters85116
Distinct characters386
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

Unique2635 ?
Unique (%)82.2%

Sample

1st row대구광역시 중구 덕산동 0053-0003번지
2nd row대구광역시 중구 동문동 20-11번지
3rd row대구광역시 중구 대봉동 214번지
4th row대구광역시 중구 문화동 11-4번지 (1층)
5th row대구광역시 중구 대봉동 0214번지 지하1층
ValueCountFrequency (%)
대구광역시 3206
 
20.3%
달서구 607
 
3.8%
수성구 578
 
3.7%
북구 544
 
3.4%
중구 429
 
2.7%
동구 404
 
2.6%
1층 242
 
1.5%
서구 215
 
1.4%
남구 210
 
1.3%
달성군 202
 
1.3%
Other values (3564) 9158
58.0%
2023-09-24T07:33:27.620622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15512
18.2%
구 6391
 
7.5%
1 4530
 
5.3%
동 3970
 
4.7%
대 3816
 
4.5%
0 3521
 
4.1%
시 3299
 
3.9%
역 3239
 
3.8%
광 3220
 
3.8%
지 2884
 
3.4%
Other values (376) 34734
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47838
56.2%
Decimal Number 18615
 
21.9%
Space Separator 15512
 
18.2%
Dash Punctuation 2320
 
2.7%
Close Punctuation 257
 
0.3%
Open Punctuation 257
 
0.3%
Other Punctuation 154
 
0.2%
Uppercase Letter 146
 
0.2%
Math Symbol 11
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6391
 
13.4%
동 3970
 
8.3%
대 3816
 
8.0%
시 3299
 
6.9%
역 3239
 
6.8%
광 3220
 
6.7%
지 2884
 
6.0%
번 2155
 
4.5%
성 1222
 
2.6%
서 958
 
2.0%
Other values (334) 16684
34.9%
Uppercase Letter
ValueCountFrequency (%)
A 47
32.2%
B 22
15.1%
C 16
 
11.0%
T 10
 
6.8%
S 8
 
5.5%
M 7
 
4.8%
K 7
 
4.8%
D 5
 
3.4%
P 4
 
2.7%
H 4
 
2.7%
Other values (9) 16
 
11.0%
Decimal Number
ValueCountFrequency (%)
1 4530
24.3%
0 3521
18.9%
2 2230
12.0%
3 1529
 
8.2%
5 1360
 
7.3%
4 1296
 
7.0%
6 1193
 
6.4%
8 1035
 
5.6%
7 969
 
5.2%
9 952
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 117
76.0%
. 21
 
13.6%
/ 14
 
9.1%
@ 2
 
1.3%
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 (%)
15512
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2320
100.0%
Close Punctuation
ValueCountFrequency (%)
) 257
100.0%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47838
56.2%
Common 37126
43.6%
Latin 152
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6391
 
13.4%
동 3970
 
8.3%
대 3816
 
8.0%
시 3299
 
6.9%
역 3239
 
6.8%
광 3220
 
6.7%
지 2884
 
6.0%
번 2155
 
4.5%
성 1222
 
2.6%
서 958
 
2.0%
Other values (334) 16684
34.9%
Common
ValueCountFrequency (%)
15512
41.8%
1 4530
 
12.2%
0 3521
 
9.5%
- 2320
 
6.2%
2 2230
 
6.0%
3 1529
 
4.1%
5 1360
 
3.7%
4 1296
 
3.5%
6 1193
 
3.2%
8 1035
 
2.8%
Other values (11) 2600
 
7.0%
Latin
ValueCountFrequency (%)
A 47
30.9%
B 22
14.5%
C 16
 
10.5%
T 10
 
6.6%
S 8
 
5.3%
M 7
 
4.6%
K 7
 
4.6%
D 5
 
3.3%
e 5
 
3.3%
P 4
 
2.6%
Other values (11) 21
13.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47837
56.2%
ASCII 37277
43.8%
Arrows 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15512
41.6%
1 4530
 
12.2%
0 3521
 
9.4%
- 2320
 
6.2%
2 2230
 
6.0%
3 1529
 
4.1%
5 1360
 
3.6%
4 1296
 
3.5%
6 1193
 
3.2%
8 1035
 
2.8%
Other values (31) 2751
 
7.4%
Hangul
ValueCountFrequency (%)
구 6391
 
13.4%
동 3970
 
8.3%
대 3816
 
8.0%
시 3299
 
6.9%
역 3239
 
6.8%
광 3220
 
6.7%
지 2884
 
6.0%
번 2155
 
4.5%
성 1222
 
2.6%
서 958
 
2.0%
Other values (333) 16683
34.9%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅔ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2126
Distinct (%)89.6%
Missing831
Missing (%)25.9%
Memory size25.2 KiB
2023-09-24T07:33:28.305738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length53
Mean length31.929204
Min length20

Characters and Unicode

Total characters75768
Distinct characters408
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

Unique2045 ?
Unique (%)86.2%

Sample

1st row대구광역시 중구 국채보상로 607 (문화동, 지상1층)
2nd row대구광역시 중구 명덕로 333 (대봉동, 지하1층)
3rd row대구광역시 중구 공평로 47 (공평동)
4th row대구광역시 중구 달구벌대로 지하 2100 (덕산동)
5th row대구광역시 중구 경상감영길 40 (서문로1가, 지상1층)
ValueCountFrequency (%)
대구광역시 2374
 
15.9%
1층 795
 
5.3%
달서구 464
 
3.1%
북구 401
 
2.7%
수성구 400
 
2.7%
중구 344
 
2.3%
동구 318
 
2.1%
달구벌대로 210
 
1.4%
지하1층 176
 
1.2%
달성군 160
 
1.1%
Other values (2447) 9322
62.3%
2023-09-24T07:33:29.159858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12591
 
16.6%
구 5162
 
6.8%
1 3736
 
4.9%
동 3478
 
4.6%
대 3477
 
4.6%
시 2474
 
3.3%
역 2437
 
3.2%
광 2389
 
3.2%
로 2348
 
3.1%
) 2337
 
3.1%
Other values (398) 35339
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43839
57.9%
Space Separator 12591
 
16.6%
Decimal Number 11930
 
15.7%
Close Punctuation 2337
 
3.1%
Open Punctuation 2337
 
3.1%
Other Punctuation 2261
 
3.0%
Dash Punctuation 291
 
0.4%
Uppercase Letter 138
 
0.2%
Lowercase Letter 24
 
< 0.1%
Math Symbol 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5162
 
11.8%
동 3478
 
7.9%
대 3477
 
7.9%
시 2474
 
5.6%
역 2437
 
5.6%
광 2389
 
5.4%
로 2348
 
5.4%
층 1352
 
3.1%
성 1053
 
2.4%
달 964
 
2.2%
Other values (348) 18705
42.7%
Uppercase Letter
ValueCountFrequency (%)
A 36
26.1%
B 23
16.7%
C 12
 
8.7%
M 9
 
6.5%
S 8
 
5.8%
T 7
 
5.1%
H 7
 
5.1%
K 6
 
4.3%
D 6
 
4.3%
E 4
 
2.9%
Other values (9) 20
14.5%
Lowercase Letter
ValueCountFrequency (%)
e 8
33.3%
a 3
 
12.5%
c 3
 
12.5%
i 2
 
8.3%
n 1
 
4.2%
m 1
 
4.2%
d 1
 
4.2%
l 1
 
4.2%
t 1
 
4.2%
o 1
 
4.2%
Other values (2) 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 3736
31.3%
2 1665
14.0%
0 1328
 
11.1%
3 1045
 
8.8%
4 888
 
7.4%
5 785
 
6.6%
7 721
 
6.0%
6 698
 
5.9%
9 555
 
4.7%
8 509
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 2249
99.5%
. 9
 
0.4%
/ 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 17
85.0%
+ 3
 
15.0%
Space Separator
ValueCountFrequency (%)
12591
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2337
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 291
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43839
57.9%
Common 31767
41.9%
Latin 162
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5162
 
11.8%
동 3478
 
7.9%
대 3477
 
7.9%
시 2474
 
5.6%
역 2437
 
5.6%
광 2389
 
5.4%
로 2348
 
5.4%
층 1352
 
3.1%
성 1053
 
2.4%
달 964
 
2.2%
Other values (348) 18705
42.7%
Latin
ValueCountFrequency (%)
A 36
22.2%
B 23
14.2%
C 12
 
7.4%
M 9
 
5.6%
e 8
 
4.9%
S 8
 
4.9%
T 7
 
4.3%
H 7
 
4.3%
K 6
 
3.7%
D 6
 
3.7%
Other values (21) 40
24.7%
Common
ValueCountFrequency (%)
12591
39.6%
1 3736
 
11.8%
) 2337
 
7.4%
( 2337
 
7.4%
, 2249
 
7.1%
2 1665
 
5.2%
0 1328
 
4.2%
3 1045
 
3.3%
4 888
 
2.8%
5 785
 
2.5%
Other values (9) 2806
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43839
57.9%
ASCII 31929
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12591
39.4%
1 3736
 
11.7%
) 2337
 
7.3%
( 2337
 
7.3%
, 2249
 
7.0%
2 1665
 
5.2%
0 1328
 
4.2%
3 1045
 
3.3%
4 888
 
2.8%
5 785
 
2.5%
Other values (40) 2968
 
9.3%
Hangul
ValueCountFrequency (%)
구 5162
 
11.8%
동 3478
 
7.9%
대 3477
 
7.9%
시 2474
 
5.6%
역 2437
 
5.6%
광 2389
 
5.4%
로 2348
 
5.4%
층 1352
 
3.1%
성 1053
 
2.4%
달 964
 
2.2%
Other values (348) 18705
42.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct824
Distinct (%)35.0%
Missing849
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean42052.119
Minimum41002
Maximum43162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-09-24T07:33:29.425817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41126.7
Q141548.5
median42006
Q342620
95-th percentile42930
Maximum43162
Range2160
Interquartile range (IQR)1071.5

Descriptive statistics

Standard deviation575.11568
Coefficient of variation (CV)0.013676259
Kurtosis-1.1208624
Mean42052.119
Median Absolute Deviation (MAD)491
Skewness-0.01537056
Sum99032740
Variance330758.04
MonotonicityNot monotonic
2023-09-24T07:33:29.667237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41936 103
 
3.2%
41229 86
 
2.7%
41953 22
 
0.7%
41581 22
 
0.7%
41423 20
 
0.6%
41938 18
 
0.6%
41942 17
 
0.5%
41515 14
 
0.4%
41941 13
 
0.4%
42760 13
 
0.4%
Other values (814) 2027
63.3%
(Missing) 849
26.5%
ValueCountFrequency (%)
41002 3
 
0.1%
41003 2
 
0.1%
41005 4
0.1%
41007 2
 
0.1%
41009 1
 
< 0.1%
41020 1
 
< 0.1%
41026 8
0.2%
41027 1
 
< 0.1%
41029 1
 
< 0.1%
41030 1
 
< 0.1%
ValueCountFrequency (%)
43162 1
 
< 0.1%
43160 1
 
< 0.1%
43158 1
 
< 0.1%
43150 1
 
< 0.1%
43137 1
 
< 0.1%
43118 6
0.2%
43117 1
 
< 0.1%
43114 2
 
0.1%
43113 1
 
< 0.1%
43024 1
 
< 0.1%

사업장명
Text

Distinct2501
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-09-24T07:33:30.134119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length7.5181024
Min length1

Characters and Unicode

Total characters24088
Distinct characters697
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2159 ?
Unique (%)67.4%

Sample

1st row쿡마마오베르
2nd row(주)신라명과동아백화점직매장
3rd row오픈테이블델리
4th row정항우케잌
5th row라포쉬
ValueCountFrequency (%)
파리바게뜨 85
 
2.2%
베이커리 68
 
1.8%
뚜레쥬르 57
 
1.5%
마들렌베이커리 24
 
0.6%
크라운베이커리 22
 
0.6%
반월당고로케 20
 
0.5%
뉴욕베이커리 17
 
0.4%
빵굽는마을 17
 
0.4%
대백베이커리 17
 
0.4%
던킨도너츠 13
 
0.3%
Other values (2632) 3522
91.2%
2023-09-24T07:33:30.991162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 1217
 
5.1%
이 1029
 
4.3%
점 962
 
4.0%
베 789
 
3.3%
커 735
 
3.1%
659
 
2.7%
대 443
 
1.8%
) 432
 
1.8%
( 431
 
1.8%
스 408
 
1.7%
Other values (687) 16983
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20848
86.5%
Lowercase Letter 847
 
3.5%
Space Separator 659
 
2.7%
Uppercase Letter 646
 
2.7%
Close Punctuation 432
 
1.8%
Open Punctuation 431
 
1.8%
Decimal Number 182
 
0.8%
Other Punctuation 34
 
0.1%
Dash Punctuation 6
 
< 0.1%
Connector Punctuation 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1217
 
5.8%
이 1029
 
4.9%
점 962
 
4.6%
베 789
 
3.8%
커 735
 
3.5%
대 443
 
2.1%
스 408
 
2.0%
빵 356
 
1.7%
파 346
 
1.7%
구 326
 
1.6%
Other values (616) 14237
68.3%
Lowercase Letter
ValueCountFrequency (%)
e 124
14.6%
a 84
 
9.9%
o 81
 
9.6%
i 60
 
7.1%
n 57
 
6.7%
r 52
 
6.1%
c 42
 
5.0%
k 38
 
4.5%
t 36
 
4.3%
s 34
 
4.0%
Other values (15) 239
28.2%
Uppercase Letter
ValueCountFrequency (%)
E 66
 
10.2%
B 63
 
9.8%
A 56
 
8.7%
R 49
 
7.6%
O 46
 
7.1%
K 45
 
7.0%
N 34
 
5.3%
S 33
 
5.1%
T 33
 
5.1%
M 32
 
5.0%
Other values (14) 189
29.3%
Decimal Number
ValueCountFrequency (%)
2 48
26.4%
1 40
22.0%
3 24
13.2%
0 17
 
9.3%
5 15
 
8.2%
6 10
 
5.5%
9 9
 
4.9%
7 7
 
3.8%
8 7
 
3.8%
4 5
 
2.7%
Other Punctuation
ValueCountFrequency (%)
& 11
32.4%
. 9
26.5%
, 6
17.6%
: 5
14.7%
' 3
 
8.8%
Space Separator
ValueCountFrequency (%)
659
100.0%
Close Punctuation
ValueCountFrequency (%)
) 432
100.0%
Open Punctuation
ValueCountFrequency (%)
( 431
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20840
86.5%
Common 1746
 
7.2%
Latin 1494
 
6.2%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1217
 
5.8%
이 1029
 
4.9%
점 962
 
4.6%
베 789
 
3.8%
커 735
 
3.5%
대 443
 
2.1%
스 408
 
2.0%
빵 356
 
1.7%
파 346
 
1.7%
구 326
 
1.6%
Other values (609) 14229
68.3%
Latin
ValueCountFrequency (%)
e 124
 
8.3%
a 84
 
5.6%
o 81
 
5.4%
E 66
 
4.4%
B 63
 
4.2%
i 60
 
4.0%
n 57
 
3.8%
A 56
 
3.7%
r 52
 
3.5%
R 49
 
3.3%
Other values (40) 802
53.7%
Common
ValueCountFrequency (%)
659
37.7%
) 432
24.7%
( 431
24.7%
2 48
 
2.7%
1 40
 
2.3%
3 24
 
1.4%
0 17
 
1.0%
5 15
 
0.9%
& 11
 
0.6%
6 10
 
0.6%
Other values (11) 59
 
3.4%
Han
ValueCountFrequency (%)
李 2
25.0%
愛 1
12.5%
萬 1
12.5%
事 1
12.5%
亨 1
12.5%
通 1
12.5%
秀 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20840
86.5%
ASCII 3239
 
13.4%
CJK 6
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 1217
 
5.8%
이 1029
 
4.9%
점 962
 
4.6%
베 789
 
3.8%
커 735
 
3.5%
대 443
 
2.1%
스 408
 
2.0%
빵 356
 
1.7%
파 346
 
1.7%
구 326
 
1.6%
Other values (609) 14229
68.3%
ASCII
ValueCountFrequency (%)
659
20.3%
) 432
 
13.3%
( 431
 
13.3%
e 124
 
3.8%
a 84
 
2.6%
o 81
 
2.5%
E 66
 
2.0%
B 63
 
1.9%
i 60
 
1.9%
n 57
 
1.8%
Other values (60) 1182
36.5%
CJK Compat Ideographs
ValueCountFrequency (%)
李 2
100.0%
CJK
ValueCountFrequency (%)
愛 1
16.7%
萬 1
16.7%
事 1
16.7%
亨 1
16.7%
通 1
16.7%
秀 1
16.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

최종수정시점
Date

Distinct2941
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum2001-08-10 00:00:00
Maximum2023-08-31 14:18:51
2023-09-24T07:33:31.218703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-24T07:33:31.493956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
I
1931 
U
1273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1931
60.3%
U 1273
39.7%

Length

2023-09-24T07:33:31.723496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:31.877558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1931
60.3%
u 1273
39.7%

데이터갱신일자
Date

Distinct839
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-09-02 02:40:00
2023-09-24T07:33:32.054579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-24T07:33:32.291659image/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 size25.2 KiB
제과점영업
3202 
푸드트럭
 
2

Length

Max length5
Median length5
Mean length4.9993758
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 3202
99.9%
푸드트럭 2
 
0.1%

Length

2023-09-24T07:33:32.580006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:32.738949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3202
99.9%
푸드트럭 2
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2194
Distinct (%)70.1%
Missing76
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean343168.81
Minimum327860.09
Maximum358057.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-09-24T07:33:32.885719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327860.09
5-th percentile334629.22
Q1339658.92
median343588.74
Q3346381.13
95-th percentile353470.53
Maximum358057.66
Range30197.561
Interquartile range (IQR)6722.2124

Descriptive statistics

Standard deviation5177.5587
Coefficient of variation (CV)0.015087498
Kurtosis0.29997982
Mean343168.81
Median Absolute Deviation (MAD)3448.5064
Skewness0.060870043
Sum1.073432 × 109
Variance26807114
MonotonicityNot monotonic
2023-09-24T07:33:33.537339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343588.735554802 99
 
3.1%
347037.241970286 72
 
2.2%
345032.238220744 42
 
1.3%
344052.576927614 27
 
0.8%
344047.979265366 17
 
0.5%
339047.793378934 14
 
0.4%
340320.722709596 13
 
0.4%
347008.220868672 12
 
0.4%
343705.561002201 12
 
0.4%
345549.110170479 10
 
0.3%
Other values (2184) 2810
87.7%
(Missing) 76
 
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 (%)
358057.655884011 1
< 0.1%
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%
356437.392326278 1
< 0.1%
356425.755844676 1
< 0.1%
356353.915440362 2
0.1%
356351.120591088 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2194
Distinct (%)70.1%
Missing76
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean263498.35
Minimum240452.6
Maximum305597.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-09-24T07:33:33.786018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240452.6
5-th percentile257433.69
Q1261297.73
median263507.06
Q3265407.4
95-th percentile271758.08
Maximum305597.02
Range65144.425
Interquartile range (IQR)4109.6731

Descriptive statistics

Standard deviation5155.9701
Coefficient of variation (CV)0.019567371
Kurtosis16.175593
Mean263498.35
Median Absolute Deviation (MAD)1973.0162
Skewness1.2505579
Sum8.2422284 × 108
Variance26584027
MonotonicityNot monotonic
2023-09-24T07:33:34.027523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264119.010750105 99
 
3.1%
265407.404336831 72
 
2.2%
262949.871621315 42
 
1.3%
265131.653371228 27
 
0.8%
264405.128695786 17
 
0.5%
258741.902180368 14
 
0.4%
272735.675659876 13
 
0.4%
265529.893275436 12
 
0.4%
264056.630948974 12
 
0.4%
268620.845678103 10
 
0.3%
Other values (2184) 2810
87.7%
(Missing) 76
 
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 (%)
305597.020750504 2
0.1%
305346.090355331 1
 
< 0.1%
305037.174491849 1
 
< 0.1%
304607.025899462 3
0.1%
304561.00211418 1
 
< 0.1%
304492.882912185 1
 
< 0.1%
304466.14911019 1
 
< 0.1%
296985.570286924 1
 
< 0.1%
295313.749639956 1
 
< 0.1%
292024.590733752 1
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
제과점영업
3202 
푸드트럭
 
2

Length

Max length5
Median length5
Mean length4.9993758
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 3202
99.9%
푸드트럭 2
 
0.1%

Length

2023-09-24T07:33:34.353208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:34.569263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3202
99.9%
푸드트럭 2
 
0.1%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.6%
Missing1298
Missing (%)40.5%
Infinite0
Infinite (%)0.0%
Mean0.3798531
Minimum0
Maximum17
Zeros1450
Zeros (%)45.3%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-09-24T07:33:34.731378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.93768754
Coefficient of variation (CV)2.4685531
Kurtosis77.348978
Mean0.3798531
Median Absolute Deviation (MAD)0
Skewness6.3256886
Sum724
Variance0.87925793
MonotonicityNot monotonic
2023-09-24T07:33:34.994188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1450
45.3%
1 304
 
9.5%
2 96
 
3.0%
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) 1298
40.5%
ValueCountFrequency (%)
0 1450
45.3%
1 304
 
9.5%
2 96
 
3.0%
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
 
3.0%
1 304
9.5%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)0.7%
Missing1226
Missing (%)38.3%
Infinite0
Infinite (%)0.0%
Mean0.5677452
Minimum0
Maximum47
Zeros1398
Zeros (%)43.6%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-09-24T07:33:35.192619image/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 deviation1.5777638
Coefficient of variation (CV)2.7789997
Kurtosis390.55717
Mean0.5677452
Median Absolute Deviation (MAD)0
Skewness14.809955
Sum1123
Variance2.4893385
MonotonicityNot monotonic
2023-09-24T07:33:35.370190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 1398
43.6%
1 319
 
10.0%
2 155
 
4.8%
3 58
 
1.8%
4 16
 
0.5%
5 11
 
0.3%
6 10
 
0.3%
7 5
 
0.2%
47 1
 
< 0.1%
11 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 1226
38.3%
ValueCountFrequency (%)
0 1398
43.6%
1 319
 
10.0%
2 155
 
4.8%
3 58
 
1.8%
4 16
 
0.5%
5 11
 
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 11
0.3%
4 16
0.5%

영업장주변구분명
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
<NA>
1470 
기타
899 
주택가주변
396 
아파트지역
349 
유흥업소밀집지역
 
50
Other values (3)
 
40

Length

Max length8
Median length7
Mean length3.7833958
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1470
45.9%
기타 899
28.1%
주택가주변 396
 
12.4%
아파트지역 349
 
10.9%
유흥업소밀집지역 50
 
1.6%
학교정화(상대) 30
 
0.9%
학교정화(절대) 9
 
0.3%
결혼예식장주변 1
 
< 0.1%

Length

2023-09-24T07:33:35.593692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:35.848813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1470
45.9%
기타 899
28.1%
주택가주변 396
 
12.4%
아파트지역 349
 
10.9%
유흥업소밀집지역 50
 
1.6%
학교정화(상대 30
 
0.9%
학교정화(절대 9
 
0.3%
결혼예식장주변 1
 
< 0.1%

등급구분명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
<NA>
2324 
자율
642 
기타
235 
을
 
3

Length

Max length4
Median length4
Mean length3.4497503
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2324
72.5%
자율 642
 
20.0%
기타 235
 
7.3%
을 3
 
0.1%

Length

2023-09-24T07:33:36.087044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:36.261187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2324
72.5%
자율 642
 
20.0%
기타 235
 
7.3%
을 3
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
상수도전용
2362 
<NA>
837 
전용상수도(특정시설의 자가용 수도)
 
2
지하수전용
 
2
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length19
Median length5
Mean length4.7512484
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 2362
73.7%
<NA> 837
 
26.1%
전용상수도(특정시설의 자가용 수도) 2
 
0.1%
지하수전용 2
 
0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

Length

2023-09-24T07:33:36.478015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:36.697411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 2362
73.6%
na 837
 
26.1%
전용상수도(특정시설의 2
 
0.1%
자가용 2
 
0.1%
수도 2
 
0.1%
지하수전용 2
 
0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
<NA>
2495 
0
709 

Length

Max length4
Median length4
Mean length3.3361423
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2495
77.9%
0 709
 
22.1%

Length

2023-09-24T07:33:36.893995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:37.088328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2495
77.9%
0 709
 
22.1%

본사직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
<NA>
2489 
0
715 

Length

Max length4
Median length4
Mean length3.3305243
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2489
77.7%
0 715
 
22.3%

Length

2023-09-24T07:33:37.295846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:37.486183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2489
77.7%
0 715
 
22.3%

공장사무직직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
<NA>
2489 
0
715 

Length

Max length4
Median length4
Mean length3.3305243
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2489
77.7%
0 715
 
22.3%

Length

2023-09-24T07:33:37.662328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:37.856908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2489
77.7%
0 715
 
22.3%

공장판매직직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
<NA>
2489 
0
715 

Length

Max length4
Median length4
Mean length3.3305243
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2489
77.7%
0 715
 
22.3%

Length

2023-09-24T07:33:38.104439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:38.331906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2489
77.7%
0 715
 
22.3%

공장생산직직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
<NA>
2489 
0
715 

Length

Max length4
Median length4
Mean length3.3305243
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2489
77.7%
0 715
 
22.3%

Length

2023-09-24T07:33:38.628177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:38.816754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2489
77.7%
0 715
 
22.3%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3204
Missing (%)100.0%
Memory size28.3 KiB

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
<NA>
2489 
0
715 

Length

Max length4
Median length4
Mean length3.3305243
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2489
77.7%
0 715
 
22.3%

Length

2023-09-24T07:33:39.001262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:39.199185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2489
77.7%
0 715
 
22.3%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
<NA>
2489 
0
715 

Length

Max length4
Median length4
Mean length3.3305243
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2489
77.7%
0 715
 
22.3%

Length

2023-09-24T07:33:39.449179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:33:39.698710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2489
77.7%
0 715
 
22.3%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
3158 
True
 
46
ValueCountFrequency (%)
False 3158
98.6%
True 46
 
1.4%
2023-09-24T07:33:39.841280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct1949
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.881077
Minimum0
Maximum1330
Zeros201
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-09-24T07:33:40.012253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121.6
median34.4
Q355.8
95-th percentile115.874
Maximum1330
Range1330
Interquartile range (IQR)34.2

Descriptive statistics

Standard deviation57.907271
Coefficient of variation (CV)1.2621166
Kurtosis171.35063
Mean45.881077
Median Absolute Deviation (MAD)15.51
Skewness9.8157221
Sum147002.97
Variance3353.252
MonotonicityNot monotonic
2023-09-24T07:33:40.215737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 201
 
6.3%
3.3 32
 
1.0%
33.0 20
 
0.6%
20.0 20
 
0.6%
10.0 16
 
0.5%
36.0 16
 
0.5%
6.6 15
 
0.5%
26.4 15
 
0.5%
30.0 14
 
0.4%
40.0 12
 
0.4%
Other values (1939) 2843
88.7%
ValueCountFrequency (%)
0.0 201
6.3%
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 (%)
1330.0 1
< 0.1%
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%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3204
Missing (%)100.0%
Memory size28.3 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3204
Missing (%)100.0%
Memory size28.3 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3204
Missing (%)100.0%
Memory size28.3 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01제과점영업07_22_18_P34100003410000-121-2005-000752005-07-27<NA>3폐업2폐업2007-02-20<NA><NA><NA>053 251322014.47700-070대구광역시 중구 덕산동 0053-0003번지<NA><NA>쿡마마오베르2005-07-27 00:00:00I2018-08-31 23:59:59제과점영업343705.561002264056.630949제과점영업11기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N14.47<NA><NA><NA>
12제과점영업07_22_18_P34100003410000-121-2005-000642005-08-11<NA>3폐업2폐업2006-05-09<NA><NA><NA><NA>61.05700-180대구광역시 중구 동문동 20-11번지<NA><NA>(주)신라명과동아백화점직매장2005-08-11 00:00:00I2018-08-31 23:59:59제과점영업344138.507492264773.346334제과점영업33기타자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N61.05<NA><NA><NA>
23제과점영업07_22_18_P34100003410000-121-2005-000682005-08-26<NA>3폐업2폐업2009-09-07<NA><NA><NA><NA>11.28700-811대구광역시 중구 대봉동 214번지<NA><NA>오픈테이블델리2005-08-26 00:00:00I2018-08-31 23:59:59제과점영업345032.238221262949.871621제과점영업11기타자율상수도전용<NA>0000<NA>00N11.28<NA><NA><NA>
34제과점영업07_22_18_P34100003410000-121-2005-000022005-09-05<NA>3폐업2폐업2005-11-11<NA><NA><NA><NA>84.24700-160대구광역시 중구 문화동 11-4번지 (1층)<NA><NA>정항우케잌2005-09-05 00:00:00I2018-08-31 23:59:59제과점영업344172.855741264578.929395제과점영업00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N84.24<NA><NA><NA>
45제과점영업07_22_18_P34100003410000-121-2005-000772005-11-08<NA>3폐업2폐업2006-01-25<NA><NA><NA><NA>10.2700-811대구광역시 중구 대봉동 0214번지 지하1층<NA><NA>라포쉬2005-11-08 00:00:00I2018-08-31 23:59:59제과점영업345032.238221262949.871621제과점영업03기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N10.2<NA><NA><NA>
56제과점영업07_22_18_P34100003410000-121-2005-000782005-11-11<NA>3폐업2폐업2014-12-31<NA><NA><NA>053 252821584.24700-160대구광역시 중구 문화동 0011-0004번지대구광역시 중구 국채보상로 607 (문화동, 지상1층)41913(주) 크라운제과2013-01-23 09:58:17I2018-08-31 23:59:59제과점영업344172.855741264578.929395제과점영업00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N84.24<NA><NA><NA>
67제과점영업07_22_18_P34100003410000-121-2005-000802005-12-09<NA>3폐업2폐업2006-03-09<NA><NA><NA><NA>8.7700-811대구광역시 중구 대봉동 0214번지 외2필지(지하1층)<NA><NA>백설마루2005-12-09 00:00:00I2018-08-31 23:59:59제과점영업345032.238221262949.871621제과점영업02기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N8.7<NA><NA><NA>
78제과점영업07_22_18_P34100003410000-121-2005-000812005-12-09<NA>3폐업2폐업2006-02-14<NA><NA><NA>053 42087209.54700-811대구광역시 중구 대봉동 0214번지 외2필지(지하1층)<NA><NA>토방식품2005-12-09 00:00:00I2018-08-31 23:59:59제과점영업345032.238221262949.871621제과점영업21기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N9.54<NA><NA><NA>
89제과점영업07_22_18_P34100003410000-121-2006-000012006-02-10<NA>3폐업2폐업2007-04-10<NA><NA><NA>053 426342214.28700-811대구광역시 중구 대봉동 0214번지<NA><NA>예마당2007-06-25 00:00:00I2018-08-31 23:59:59제과점영업345032.238221262949.871621제과점영업11기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N14.28<NA><NA><NA>
910제과점영업07_22_18_P34100003410000-121-2006-000022006-02-15<NA>3폐업2폐업2007-04-10<NA><NA><NA><NA>7.26700-811대구광역시 중구 대봉동 0214번지 외2필지(지하1층)<NA><NA>(주)장군식품2006-02-15 00:00:00I2018-08-31 23:59:59제과점영업345032.238221262949.871621제과점영업02기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N7.26<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
31943195제과점영업07_22_18_P51410005141000-121-2022-000012022-05-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>41.0<NA>대구광역시 군위군 군위읍 동부리 670-1대구광역시 군위군 군위읍 군청로 87-3743118리본베이킹2022-05-26 15:12:23I2023-07-01 16:42:10제과점영업340928.745905304466.14911제과점영업00<NA><NA><NA>00000<NA>00N41.0<NA><NA><NA>
31953196제과점영업07_22_18_P51410005141000-121-2022-000022022-06-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>51.9<NA>대구광역시 군위군 산성면 화전리 301대구광역시 군위군 산성면 산성가음로 99643158steel301베이커리2022-06-23 14:52:41I2023-07-01 16:42:10제과점영업353954.36979295313.74964제과점영업00<NA><NA><NA>00000<NA>00N51.9<NA><NA><NA>
31963197제과점영업07_22_18_P51410005141000-121-2002-000022002-02-28<NA>1영업/정상1영업<NA><NA><NA><NA>054 382540963.98<NA>대구광역시 군위군 효령면 고곡리 438 농산물물류센타대구광역시 군위군 효령면 경북대로 2185, 농산물물류센타43137웰리치 베이커리2023-03-08 17:55:17I2023-07-01 16:42:10제과점영업341575.713236292024.590734제과점영업00<NA><NA>상수도전용00000<NA>00N63.98<NA><NA><NA>
31973198제과점영업07_22_18_P51410005141000-121-2012-000012012-06-04<NA>3폐업2폐업2014-07-16<NA><NA><NA><NA>24.8<NA>대구광역시 군위군 군위읍 서부리 158-1대구광역시 군위군 군위읍 중앙길 3943118하루에 베이커리2013-08-02 10:01:10I2023-07-01 16:42:10제과점영업340762.090845304607.025899제과점영업00<NA><NA>상수도전용00000<NA>00N24.8<NA><NA><NA>
31983199제과점영업07_22_18_P51410005141000-121-2012-000022012-10-15<NA>3폐업2폐업2017-05-18<NA><NA><NA>054 382 919023.0<NA>대구광역시 군위군 군위읍 동부리 329대구광역시 군위군 군위읍 중앙길 14243114보시엘드파리2017-05-18 09:12:08I2023-07-01 16:42:10제과점영업340956.190538305597.020751제과점영업00<NA><NA>상수도전용00000<NA>00N23.0<NA><NA><NA>
31993200제과점영업07_22_18_P51410005141000-121-2014-000022014-07-23<NA>3폐업2폐업2014-10-15<NA><NA><NA><NA>39.0<NA>대구광역시 군위군 군위읍 서부리 158-1대구광역시 군위군 군위읍 중앙길 3943118하루에2014-07-30 17:01:31I2023-07-01 16:42:10제과점영업340762.090845304607.025899제과점영업00<NA><NA>상수도전용00000<NA>00N39.0<NA><NA><NA>
32003201제과점영업07_22_18_P51410005141000-121-2015-000012015-03-24<NA>3폐업2폐업2017-03-20<NA><NA><NA>054 383 588850.28<NA>대구광역시 군위군 군위읍 서부리 124-6대구광역시 군위군 군위읍 중앙길 3243118마루베이커리2015-04-16 17:55:59I2023-07-01 16:42:10제과점영업340851.034141304561.002114제과점영업00<NA><NA>상수도전용00000<NA>00N50.28<NA><NA><NA>
32013202제과점영업07_22_18_P51410005141000-121-2020-000012020-02-17<NA>3폐업2폐업2023-01-12<NA><NA><NA><NA>20.0<NA>대구광역시 군위군 군위읍 동부리 329 케이마트대구광역시 군위군 군위읍 중앙길 142, 케이마트43114K베이커리2023-01-12 17:04:58I2023-07-01 16:42:10제과점영업340956.190538305597.020751제과점영업00<NA><NA><NA>00000<NA>00N20.0<NA><NA><NA>
32023203제과점영업07_22_18_P51410005141000-121-2020-000022020-06-24<NA>3폐업2폐업2022-01-06<NA><NA><NA><NA>21.6<NA>대구광역시 군위군 의흥면 이지리 1653 삼국유사테마파크 정문상가 1동 1호대구광역시 군위군 의흥면 일연테마로 100, 삼국유사테마파크43150대추day2022-01-06 11:48:52I2023-07-01 16:42:10제과점영업352620.782022296985.570287제과점영업00<NA><NA><NA>00000<NA>00N21.6<NA><NA><NA>
32033204제과점영업07_22_18_P51410005141000-121-2014-000012014-07-22<NA>1영업/정상1영업<NA><NA><NA><NA>054 382893376.14<NA>대구광역시 군위군 군위읍 서부리 126-14대구광역시 군위군 군위읍 중앙길 2243118뚜레쥬르2017-05-18 16:35:52I2023-07-01 16:42:10제과점영업340911.990284304492.882912제과점영업00<NA><NA>상수도전용00000<NA>00N76.14<NA><NA><NA>