Overview

Dataset statistics

Number of variables43
Number of observations563
Missing cells4384
Missing cells (%)18.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory206.9 KiB
Average record size in memory376.2 B

Variable types

Numeric12
Categorical19
Text5
Unsupported6
DateTime1

Dataset

Description22년10월_6270000_대구광역시_01_02_04_P_치과기공소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096996&dataSetDetailId=DDI_0000097041&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
기공용레스수 is highly imbalanced (83.4%)Imbalance
원심주조기수 is highly imbalanced (84.9%)Imbalance
아세틸렌수 is highly imbalanced (84.8%)Imbalance
치과용프레스수 is highly imbalanced (83.3%)Imbalance
전기로수 is highly imbalanced (53.4%)Imbalance
포셀린로수 is highly imbalanced (50.2%)Imbalance
초음파청소기수 is highly imbalanced (76.7%)Imbalance
서베이어수 is highly imbalanced (72.9%)Imbalance
진동기수 is highly imbalanced (71.4%)Imbalance
트리머수 is highly imbalanced (86.7%)Imbalance
진공매몰기수 is highly imbalanced (61.3%)Imbalance
핀덱스수 is highly imbalanced (57.6%)Imbalance
인허가취소일자 has 563 (100.0%) missing valuesMissing
폐업일자 has 391 (69.4%) missing valuesMissing
휴업시작일자 has 563 (100.0%) missing valuesMissing
휴업종료일자 has 563 (100.0%) missing valuesMissing
재개업일자 has 563 (100.0%) missing valuesMissing
소재지전화 has 187 (33.2%) missing valuesMissing
소재지면적 has 563 (100.0%) missing valuesMissing
소재지우편번호 has 209 (37.1%) missing valuesMissing
소재지전체주소 has 24 (4.3%) missing valuesMissing
도로명우편번호 has 52 (9.2%) missing valuesMissing
업태구분명 has 563 (100.0%) missing valuesMissing
좌표정보(X) has 6 (1.1%) missing valuesMissing
좌표정보(Y) has 6 (1.1%) missing valuesMissing
기공용컴프레서수 has 63 (11.2%) missing valuesMissing
샌드기수 has 63 (11.2%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 18:25:12.830816
Analysis finished2023-12-10 18:25:14.056256
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct563
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean282
Minimum1
Maximum563
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T03:25:14.161256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29.1
Q1141.5
median282
Q3422.5
95-th percentile534.9
Maximum563
Range562
Interquartile range (IQR)281

Descriptive statistics

Standard deviation162.66837
Coefficient of variation (CV)0.57683821
Kurtosis-1.2
Mean282
Median Absolute Deviation (MAD)141
Skewness0
Sum158766
Variance26461
MonotonicityStrictly increasing
2023-12-11T03:25:14.354490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
380 1
 
0.2%
374 1
 
0.2%
375 1
 
0.2%
376 1
 
0.2%
377 1
 
0.2%
378 1
 
0.2%
379 1
 
0.2%
381 1
 
0.2%
372 1
 
0.2%
Other values (553) 553
98.2%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
563 1
0.2%
562 1
0.2%
561 1
0.2%
560 1
0.2%
559 1
0.2%
558 1
0.2%
557 1
0.2%
556 1
0.2%
555 1
0.2%
554 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
치과기공소
563 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
치과기공소 563
100.0%

Length

2023-12-11T03:25:14.561349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:14.706589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치과기공소 563
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
01_02_04_P
563 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_02_04_P
2nd row01_02_04_P
3rd row01_02_04_P
4th row01_02_04_P
5th row01_02_04_P

Common Values

ValueCountFrequency (%)
01_02_04_P 563
100.0%

Length

2023-12-11T03:25:14.852589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:14.988591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_04_p 563
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445612.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T03:25:15.109079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation22458.486
Coefficient of variation (CV)0.0065179948
Kurtosis-1.2106748
Mean3445612.8
Median Absolute Deviation (MAD)20000
Skewness-0.23876454
Sum1.93988 × 109
Variance5.0438361 × 108
MonotonicityIncreasing
2023-12-11T03:25:15.304905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 112
19.9%
3470000 112
19.9%
3410000 81
14.4%
3460000 65
11.5%
3420000 62
11.0%
3430000 47
8.3%
3440000 46
8.2%
3480000 38
 
6.7%
ValueCountFrequency (%)
3410000 81
14.4%
3420000 62
11.0%
3430000 47
8.3%
3440000 46
8.2%
3450000 112
19.9%
3460000 65
11.5%
3470000 112
19.9%
3480000 38
 
6.7%
ValueCountFrequency (%)
3480000 38
 
6.7%
3470000 112
19.9%
3460000 65
11.5%
3450000 112
19.9%
3440000 46
8.2%
3430000 47
8.3%
3420000 62
11.0%
3410000 81
14.4%

관리번호
Text

UNIQUE 

Distinct563
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-11T03:25:15.665083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters14075
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique563 ?
Unique (%)100.0%

Sample

1st rowPHMB320073410023062300001
2nd rowPHMB320083410023062300001
3rd rowPHMB320083410023062300002
4th rowPHMB320083410023062300003
5th rowPHMB320143410023062300001
ValueCountFrequency (%)
phmb320073410023062300001 1
 
0.2%
phmb320123460023062300004 1
 
0.2%
phmb320143460023062300003 1
 
0.2%
phmb320143460023062300002 1
 
0.2%
phmb320143460023062300001 1
 
0.2%
phmb320013460023062300001 1
 
0.2%
phmb320053460023062300001 1
 
0.2%
phmb319933460023062300001 1
 
0.2%
phmb320063460023062300003 1
 
0.2%
phmb320123460023062300003 1
 
0.2%
Other values (553) 553
98.2%
2023-12-11T03:25:16.271266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4650
33.0%
2 2095
14.9%
3 2083
14.8%
4 777
 
5.5%
1 772
 
5.5%
6 691
 
4.9%
P 563
 
4.0%
H 563
 
4.0%
M 563
 
4.0%
B 563
 
4.0%
Other values (4) 755
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11823
84.0%
Uppercase Letter 2252
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4650
39.3%
2 2095
17.7%
3 2083
17.6%
4 777
 
6.6%
1 772
 
6.5%
6 691
 
5.8%
9 276
 
2.3%
5 207
 
1.8%
7 171
 
1.4%
8 101
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 563
25.0%
H 563
25.0%
M 563
25.0%
B 563
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11823
84.0%
Latin 2252
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4650
39.3%
2 2095
17.7%
3 2083
17.6%
4 777
 
6.6%
1 772
 
6.5%
6 691
 
5.8%
9 276
 
2.3%
5 207
 
1.8%
7 171
 
1.4%
8 101
 
0.9%
Latin
ValueCountFrequency (%)
P 563
25.0%
H 563
25.0%
M 563
25.0%
B 563
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4650
33.0%
2 2095
14.9%
3 2083
14.8%
4 777
 
5.5%
1 772
 
5.5%
6 691
 
4.9%
P 563
 
4.0%
H 563
 
4.0%
M 563
 
4.0%
B 563
 
4.0%
Other values (4) 755
 
5.4%

인허가일자
Real number (ℝ)

Distinct537
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20077343
Minimum19740228
Maximum20221005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T03:25:16.511682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19740228
5-th percentile19910662
Q120011108
median20090930
Q320150106
95-th percentile20210118
Maximum20221005
Range480777
Interquartile range (IQR)138999

Descriptive statistics

Standard deviation90189.272
Coefficient of variation (CV)0.0044920921
Kurtosis0.12945204
Mean20077343
Median Absolute Deviation (MAD)60299
Skewness-0.65248042
Sum1.1303544 × 1010
Variance8.1341049 × 109
MonotonicityNot monotonic
2023-12-11T03:25:16.754599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030603 2
 
0.4%
20100312 2
 
0.4%
20160518 2
 
0.4%
20040908 2
 
0.4%
20181113 2
 
0.4%
20141010 2
 
0.4%
19980206 2
 
0.4%
20030304 2
 
0.4%
19980711 2
 
0.4%
19900512 2
 
0.4%
Other values (527) 543
96.4%
ValueCountFrequency (%)
19740228 1
0.2%
19750210 1
0.2%
19820528 1
0.2%
19820628 1
0.2%
19830416 1
0.2%
19831015 1
0.2%
19840409 1
0.2%
19840503 1
0.2%
19841017 1
0.2%
19850520 1
0.2%
ValueCountFrequency (%)
20221005 1
0.2%
20220803 1
0.2%
20220511 1
0.2%
20220509 1
0.2%
20220307 1
0.2%
20220214 1
0.2%
20220203 1
0.2%
20220111 1
0.2%
20211229 1
0.2%
20211224 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing563
Missing (%)100.0%
Memory size5.1 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
391 
3
171 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 391
69.4%
3 171
30.4%
4 1
 
0.2%

Length

2023-12-11T03:25:16.970124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:17.152952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 391
69.4%
3 171
30.4%
4 1
 
0.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
영업/정상
391 
폐업
171 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.1047957
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 391
69.4%
폐업 171
30.4%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2023-12-11T03:25:17.402969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:17.607035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 391
69.4%
폐업 171
30.4%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
13
391 
3
171 
24
 
1

Length

Max length2
Median length2
Mean length1.69627
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 391
69.4%
3 171
30.4%
24 1
 
0.2%

Length

2023-12-11T03:25:17.845639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:18.018661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 391
69.4%
3 171
30.4%
24 1
 
0.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
영업중
391 
폐업
171 
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.6980462
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 391
69.4%
폐업 171
30.4%
직권폐업 1
 
0.2%

Length

2023-12-11T03:25:18.213560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:18.748176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 391
69.4%
폐업 171
30.4%
직권폐업 1
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct165
Distinct (%)95.9%
Missing391
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean20133854
Minimum19950225
Maximum20220117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T03:25:18.964616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950225
5-th percentile20025884
Q120110488
median20140616
Q320160706
95-th percentile20210168
Maximum20220117
Range269892
Interquartile range (IQR)50218.25

Descriptive statistics

Standard deviation49085.079
Coefficient of variation (CV)0.0024379376
Kurtosis2.6670428
Mean20133854
Median Absolute Deviation (MAD)29401
Skewness-1.1913241
Sum3.4630228 × 109
Variance2.409345 × 109
MonotonicityNot monotonic
2023-12-11T03:25:19.191845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140722 2
 
0.4%
20151118 2
 
0.4%
20090202 2
 
0.4%
20220117 2
 
0.4%
20140102 2
 
0.4%
20140701 2
 
0.4%
20210701 2
 
0.4%
20140408 1
 
0.2%
20130122 1
 
0.2%
20130417 1
 
0.2%
Other values (155) 155
 
27.5%
(Missing) 391
69.4%
ValueCountFrequency (%)
19950225 1
0.2%
19950614 1
0.2%
19980204 1
0.2%
19990225 1
0.2%
19991130 1
0.2%
20000403 1
0.2%
20010507 1
0.2%
20010731 1
0.2%
20020710 1
0.2%
20030118 1
0.2%
ValueCountFrequency (%)
20220117 2
0.4%
20211229 1
0.2%
20211014 1
0.2%
20211012 1
0.2%
20210701 2
0.4%
20210602 1
0.2%
20210215 1
0.2%
20210129 1
0.2%
20210120 1
0.2%
20201209 1
0.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing563
Missing (%)100.0%
Memory size5.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing563
Missing (%)100.0%
Memory size5.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing563
Missing (%)100.0%
Memory size5.1 KiB

소재지전화
Text

MISSING 

Distinct351
Distinct (%)93.4%
Missing187
Missing (%)33.2%
Memory size4.5 KiB
2023-12-11T03:25:19.514972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.976064
Min length8

Characters and Unicode

Total characters4127
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique329 ?
Unique (%)87.5%

Sample

1st row053-426-9534
2nd row053-766-2552
3rd row053-257-8778
4th row254-2805
5th row424-2808
ValueCountFrequency (%)
053-423-6566 3
 
0.8%
632-5689 3
 
0.8%
053-248-9010 3
 
0.8%
053-426-3887 2
 
0.5%
053-422-2820 2
 
0.5%
053-766-0428 2
 
0.5%
053-629-2804 2
 
0.5%
053-587-2805 2
 
0.5%
0534265963 2
 
0.5%
053-651-1587 2
 
0.5%
Other values (341) 353
93.9%
2023-12-11T03:25:20.099804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 632
15.3%
- 611
14.8%
0 504
12.2%
3 493
11.9%
2 467
11.3%
8 304
7.4%
4 293
7.1%
6 282
6.8%
7 213
 
5.2%
1 170
 
4.1%
Other values (2) 158
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3514
85.1%
Dash Punctuation 611
 
14.8%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 632
18.0%
0 504
14.3%
3 493
14.0%
2 467
13.3%
8 304
8.7%
4 293
8.3%
6 282
8.0%
7 213
 
6.1%
1 170
 
4.8%
9 156
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 611
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4127
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 632
15.3%
- 611
14.8%
0 504
12.2%
3 493
11.9%
2 467
11.3%
8 304
7.4%
4 293
7.1%
6 282
6.8%
7 213
 
5.2%
1 170
 
4.1%
Other values (2) 158
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 632
15.3%
- 611
14.8%
0 504
12.2%
3 493
11.9%
2 467
11.3%
8 304
7.4%
4 293
7.1%
6 282
6.8%
7 213
 
5.2%
1 170
 
4.1%
Other values (2) 158
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing563
Missing (%)100.0%
Memory size5.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)63.6%
Missing209
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean697105.22
Minimum42085
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T03:25:20.344014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42085
5-th percentile700252
Q1701413
median703047
Q3704939
95-th percentile711834
Maximum711874
Range669789
Interquartile range (IQR)3526

Descriptive statistics

Standard deviation64340.067
Coefficient of variation (CV)0.092296062
Kurtosis93.7215
Mean697105.22
Median Absolute Deviation (MAD)1885
Skewness-9.6626331
Sum2.4677525 × 108
Variance4.1396442 × 109
MonotonicityNot monotonic
2023-12-11T03:25:20.612379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
711834 7
 
1.2%
704932 6
 
1.1%
700252 5
 
0.9%
702072 5
 
0.9%
701030 5
 
0.9%
701010 5
 
0.9%
701020 5
 
0.9%
711872 4
 
0.7%
702052 4
 
0.7%
702280 4
 
0.7%
Other values (215) 304
54.0%
(Missing) 209
37.1%
ValueCountFrequency (%)
42085 1
 
0.2%
42733 1
 
0.2%
42737 1
 
0.2%
301131 1
 
0.2%
700010 2
0.4%
700030 1
 
0.2%
700060 3
0.5%
700113 1
 
0.2%
700140 1
 
0.2%
700170 1
 
0.2%
ValueCountFrequency (%)
711874 3
0.5%
711872 4
0.7%
711857 1
 
0.2%
711852 1
 
0.2%
711839 3
0.5%
711838 1
 
0.2%
711835 2
 
0.4%
711834 7
1.2%
711833 1
 
0.2%
711815 1
 
0.2%

소재지전체주소
Text

MISSING 

Distinct510
Distinct (%)94.6%
Missing24
Missing (%)4.3%
Memory size4.5 KiB
2023-12-11T03:25:21.136230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length23.723562
Min length13

Characters and Unicode

Total characters12787
Distinct characters175
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique487 ?
Unique (%)90.4%

Sample

1st row대구광역시 중구 봉산동 220번지 45호
2nd row대구광역시 중구 삼덕동1가 49번지 3호
3rd row대구광역시 중구 봉산동 223번지 27호
4th row대구광역시 중구 종로1가 13번지 2호 2층
5th row대구광역시 중구 서문로2가 44번지 1호
ValueCountFrequency (%)
대구광역시 538
 
18.8%
북구 111
 
3.9%
달서구 99
 
3.5%
중구 80
 
2.8%
1호 79
 
2.8%
수성구 61
 
2.1%
동구 61
 
2.1%
3층 58
 
2.0%
2층 48
 
1.7%
서구 47
 
1.6%
Other values (738) 1676
58.6%
2023-12-11T03:25:21.955956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2328
18.2%
구 1053
 
8.2%
1 610
 
4.8%
대 606
 
4.7%
동 582
 
4.6%
시 543
 
4.2%
광 539
 
4.2%
역 539
 
4.2%
지 479
 
3.7%
번 467
 
3.7%
Other values (165) 5041
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7533
58.9%
Decimal Number 2763
 
21.6%
Space Separator 2328
 
18.2%
Dash Punctuation 66
 
0.5%
Open Punctuation 43
 
0.3%
Close Punctuation 43
 
0.3%
Other Punctuation 8
 
0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1053
14.0%
대 606
 
8.0%
동 582
 
7.7%
시 543
 
7.2%
광 539
 
7.2%
역 539
 
7.2%
지 479
 
6.4%
번 467
 
6.2%
호 461
 
6.1%
층 160
 
2.1%
Other values (148) 2104
27.9%
Decimal Number
ValueCountFrequency (%)
1 610
22.1%
2 454
16.4%
3 335
12.1%
5 232
 
8.4%
4 231
 
8.4%
0 222
 
8.0%
6 196
 
7.1%
8 177
 
6.4%
9 155
 
5.6%
7 151
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 5
62.5%
. 3
37.5%
Space Separator
ValueCountFrequency (%)
2328
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7533
58.9%
Common 5251
41.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1053
14.0%
대 606
 
8.0%
동 582
 
7.7%
시 543
 
7.2%
광 539
 
7.2%
역 539
 
7.2%
지 479
 
6.4%
번 467
 
6.2%
호 461
 
6.1%
층 160
 
2.1%
Other values (148) 2104
27.9%
Common
ValueCountFrequency (%)
2328
44.3%
1 610
 
11.6%
2 454
 
8.6%
3 335
 
6.4%
5 232
 
4.4%
4 231
 
4.4%
0 222
 
4.2%
6 196
 
3.7%
8 177
 
3.4%
9 155
 
3.0%
Other values (6) 311
 
5.9%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7533
58.9%
ASCII 5254
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2328
44.3%
1 610
 
11.6%
2 454
 
8.6%
3 335
 
6.4%
5 232
 
4.4%
4 231
 
4.4%
0 222
 
4.2%
6 196
 
3.7%
8 177
 
3.4%
9 155
 
3.0%
Other values (7) 314
 
6.0%
Hangul
ValueCountFrequency (%)
구 1053
14.0%
대 606
 
8.0%
동 582
 
7.7%
시 543
 
7.2%
광 539
 
7.2%
역 539
 
7.2%
지 479
 
6.4%
번 467
 
6.2%
호 461
 
6.1%
층 160
 
2.1%
Other values (148) 2104
27.9%

도로명전체주소
Text

Distinct513
Distinct (%)91.9%
Missing5
Missing (%)0.9%
Memory size4.5 KiB
2023-12-11T03:25:22.634146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length26.919355
Min length19

Characters and Unicode

Total characters15021
Distinct characters214
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique471 ?
Unique (%)84.4%

Sample

1st row대구광역시 중구 봉산문화길 28 (봉산동)
2nd row대구광역시 중구 공평로 11 (삼덕동1가)
3rd row대구광역시 중구 봉산문화길 34, 3층 (봉산동)
4th row대구광역시 중구 종로 58 (종로1가)
5th row대구광역시 중구 국채보상로150길 22 (동인동4가)
ValueCountFrequency (%)
대구광역시 558
 
17.6%
달서구 112
 
3.5%
북구 110
 
3.5%
2층 92
 
2.9%
3층 84
 
2.7%
중구 80
 
2.5%
수성구 65
 
2.1%
동구 62
 
2.0%
서구 46
 
1.5%
남구 45
 
1.4%
Other values (790) 1912
60.4%
2023-12-11T03:25:23.606580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2608
 
17.4%
구 1151
 
7.7%
대 746
 
5.0%
동 673
 
4.5%
시 567
 
3.8%
광 559
 
3.7%
역 559
 
3.7%
로 556
 
3.7%
( 529
 
3.5%
) 529
 
3.5%
Other values (204) 6544
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8654
57.6%
Space Separator 2608
 
17.4%
Decimal Number 2291
 
15.3%
Open Punctuation 529
 
3.5%
Close Punctuation 529
 
3.5%
Other Punctuation 317
 
2.1%
Dash Punctuation 89
 
0.6%
Uppercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1151
 
13.3%
대 746
 
8.6%
동 673
 
7.8%
시 567
 
6.6%
광 559
 
6.5%
역 559
 
6.5%
로 556
 
6.4%
층 272
 
3.1%
성 213
 
2.5%
서 210
 
2.4%
Other values (187) 3148
36.4%
Decimal Number
ValueCountFrequency (%)
1 444
19.4%
2 430
18.8%
3 320
14.0%
4 224
9.8%
5 186
8.1%
0 174
 
7.6%
6 146
 
6.4%
7 145
 
6.3%
8 129
 
5.6%
9 93
 
4.1%
Space Separator
ValueCountFrequency (%)
2608
100.0%
Open Punctuation
ValueCountFrequency (%)
( 529
100.0%
Close Punctuation
ValueCountFrequency (%)
) 529
100.0%
Other Punctuation
ValueCountFrequency (%)
, 317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8654
57.6%
Common 6364
42.4%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1151
 
13.3%
대 746
 
8.6%
동 673
 
7.8%
시 567
 
6.6%
광 559
 
6.5%
역 559
 
6.5%
로 556
 
6.4%
층 272
 
3.1%
성 213
 
2.5%
서 210
 
2.4%
Other values (187) 3148
36.4%
Common
ValueCountFrequency (%)
2608
41.0%
( 529
 
8.3%
) 529
 
8.3%
1 444
 
7.0%
2 430
 
6.8%
3 320
 
5.0%
, 317
 
5.0%
4 224
 
3.5%
5 186
 
2.9%
0 174
 
2.7%
Other values (6) 603
 
9.5%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8654
57.6%
ASCII 6367
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2608
41.0%
( 529
 
8.3%
) 529
 
8.3%
1 444
 
7.0%
2 430
 
6.8%
3 320
 
5.0%
, 317
 
5.0%
4 224
 
3.5%
5 186
 
2.9%
0 174
 
2.7%
Other values (7) 606
 
9.5%
Hangul
ValueCountFrequency (%)
구 1151
 
13.3%
대 746
 
8.6%
동 673
 
7.8%
시 567
 
6.6%
광 559
 
6.5%
역 559
 
6.5%
로 556
 
6.4%
층 272
 
3.1%
성 213
 
2.5%
서 210
 
2.4%
Other values (187) 3148
36.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct350
Distinct (%)68.5%
Missing52
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean134198.25
Minimum41003
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T03:25:23.878772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41003
5-th percentile41184
Q141566
median42118
Q342738
95-th percentile705823.5
Maximum711874
Range670871
Interquartile range (IQR)1172

Descriptive statistics

Standard deviation229698.46
Coefficient of variation (CV)1.7116352
Kurtosis2.3945719
Mean134198.25
Median Absolute Deviation (MAD)580
Skewness2.0940048
Sum68575306
Variance5.2761381 × 1010
MonotonicityNot monotonic
2023-12-11T03:25:24.154461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41921 6
 
1.1%
42907 5
 
0.9%
41940 5
 
0.9%
41423 4
 
0.7%
42696 4
 
0.7%
41578 4
 
0.7%
42644 4
 
0.7%
41535 4
 
0.7%
41834 4
 
0.7%
41447 4
 
0.7%
Other values (340) 467
82.9%
(Missing) 52
 
9.2%
ValueCountFrequency (%)
41003 1
 
0.2%
41034 1
 
0.2%
41049 1
 
0.2%
41059 4
0.7%
41065 1
 
0.2%
41067 2
0.4%
41073 1
 
0.2%
41111 1
 
0.2%
41112 1
 
0.2%
41116 2
0.4%
ValueCountFrequency (%)
711874 2
0.4%
711872 2
0.4%
711855 1
 
0.2%
711839 3
0.5%
711838 1
 
0.2%
711835 1
 
0.2%
711834 4
0.7%
711833 1
 
0.2%
706844 1
 
0.2%
706837 1
 
0.2%

사업장명
Text

Distinct482
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-11T03:25:24.511942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length7
Mean length7.8507993
Min length2

Characters and Unicode

Total characters4420
Distinct characters330
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

Unique416 ?
Unique (%)73.9%

Sample

1st row아이오랩치과기공소
2nd row아진덴탈테크피아치과기공소
3rd row초석치과기공소
4th row해바라기치과기공소
5th row최윤석치과기공소
ValueCountFrequency (%)
치과기공소 11
 
1.8%
늘푸른치과기공소 4
 
0.7%
lab 4
 
0.7%
가온치과기공소 4
 
0.7%
dental 4
 
0.7%
에이스치과기공소 3
 
0.5%
다온치과기공소 3
 
0.5%
다미안치과기공소 3
 
0.5%
제이원치과기공소 3
 
0.5%
성심치과기공소 3
 
0.5%
Other values (489) 556
93.0%
2023-12-11T03:25:25.189583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 537
 
12.1%
소 533
 
12.1%
기 533
 
12.1%
치 532
 
12.0%
과 521
 
11.8%
이 74
 
1.7%
스 59
 
1.3%
아 51
 
1.2%
디 39
 
0.9%
35
 
0.8%
Other values (320) 1506
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4123
93.3%
Uppercase Letter 100
 
2.3%
Lowercase Letter 86
 
1.9%
Space Separator 35
 
0.8%
Close Punctuation 26
 
0.6%
Open Punctuation 26
 
0.6%
Decimal Number 12
 
0.3%
Other Punctuation 10
 
0.2%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 537
13.0%
소 533
12.9%
기 533
12.9%
치 532
12.9%
과 521
12.6%
이 74
 
1.8%
스 59
 
1.4%
아 51
 
1.2%
디 39
 
0.9%
탈 33
 
0.8%
Other values (270) 1211
29.4%
Uppercase Letter
ValueCountFrequency (%)
D 17
17.0%
L 14
14.0%
N 9
9.0%
M 7
 
7.0%
C 7
 
7.0%
T 6
 
6.0%
A 6
 
6.0%
J 6
 
6.0%
S 6
 
6.0%
E 4
 
4.0%
Other values (11) 18
18.0%
Lowercase Letter
ValueCountFrequency (%)
e 20
23.3%
a 15
17.4%
l 11
12.8%
t 9
10.5%
b 6
 
7.0%
n 6
 
7.0%
u 4
 
4.7%
s 3
 
3.5%
r 2
 
2.3%
c 2
 
2.3%
Other values (6) 8
 
9.3%
Decimal Number
ValueCountFrequency (%)
2 4
33.3%
1 3
25.0%
0 2
16.7%
5 1
 
8.3%
4 1
 
8.3%
3 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 7
70.0%
& 3
30.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4123
93.3%
Latin 186
 
4.2%
Common 111
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 537
13.0%
소 533
12.9%
기 533
12.9%
치 532
12.9%
과 521
12.6%
이 74
 
1.8%
스 59
 
1.4%
아 51
 
1.2%
디 39
 
0.9%
탈 33
 
0.8%
Other values (270) 1211
29.4%
Latin
ValueCountFrequency (%)
e 20
 
10.8%
D 17
 
9.1%
a 15
 
8.1%
L 14
 
7.5%
l 11
 
5.9%
t 9
 
4.8%
N 9
 
4.8%
M 7
 
3.8%
C 7
 
3.8%
T 6
 
3.2%
Other values (27) 71
38.2%
Common
ValueCountFrequency (%)
35
31.5%
) 26
23.4%
( 26
23.4%
. 7
 
6.3%
2 4
 
3.6%
1 3
 
2.7%
& 3
 
2.7%
0 2
 
1.8%
+ 1
 
0.9%
5 1
 
0.9%
Other values (3) 3
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4123
93.3%
ASCII 297
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 537
13.0%
소 533
12.9%
기 533
12.9%
치 532
12.9%
과 521
12.6%
이 74
 
1.8%
스 59
 
1.4%
아 51
 
1.2%
디 39
 
0.9%
탈 33
 
0.8%
Other values (270) 1211
29.4%
ASCII
ValueCountFrequency (%)
35
 
11.8%
) 26
 
8.8%
( 26
 
8.8%
e 20
 
6.7%
D 17
 
5.7%
a 15
 
5.1%
L 14
 
4.7%
l 11
 
3.7%
t 9
 
3.0%
N 9
 
3.0%
Other values (40) 115
38.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct563
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0154454 × 1013
Minimum2.0090202 × 1013
Maximum2.0221025 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T03:25:25.494967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0090202 × 1013
5-th percentile2.0110921 × 1013
Q12.0120102 × 1013
median2.0150403 × 1013
Q32.0185669 × 1013
95-th percentile2.0220117 × 1013
Maximum2.0221025 × 1013
Range1.3082302 × 1011
Interquartile range (IQR)6.5566967 × 1010

Descriptive statistics

Standard deviation3.7509965 × 1010
Coefficient of variation (CV)0.0018611253
Kurtosis-1.1867092
Mean2.0154454 × 1013
Median Absolute Deviation (MAD)3.0828005 × 1010
Skewness0.27577715
Sum1.1346958 × 1016
Variance1.4069975 × 1021
MonotonicityNot monotonic
2023-12-11T03:25:25.795176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111229110611 1
 
0.2%
20200205152801 1
 
0.2%
20150108105107 1
 
0.2%
20180503135810 1
 
0.2%
20130605174717 1
 
0.2%
20130611172847 1
 
0.2%
20180206133444 1
 
0.2%
20220503133321 1
 
0.2%
20180430151131 1
 
0.2%
20130102115342 1
 
0.2%
Other values (553) 553
98.2%
ValueCountFrequency (%)
20090202115440 1
0.2%
20090203111734 1
0.2%
20090225140353 1
0.2%
20090401113343 1
0.2%
20090617132104 1
0.2%
20090716090629 1
0.2%
20091110173850 1
0.2%
20091221134036 1
0.2%
20100112150829 1
0.2%
20100128134732 1
0.2%
ValueCountFrequency (%)
20221025140050 1
0.2%
20221007102936 1
0.2%
20220829110945 1
0.2%
20220810135941 1
0.2%
20220803132309 1
0.2%
20220722145248 1
0.2%
20220706155826 1
0.2%
20220705201008 1
0.2%
20220705200745 1
0.2%
20220705165530 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
I
481 
U
82 

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 481
85.4%
U 82
 
14.6%

Length

2023-12-11T03:25:26.078369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:26.281360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 481
85.4%
u 82
 
14.6%

데이터갱신일자
Date

Distinct145
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum2018-08-31 23:59:59
Maximum2022-10-27 02:40:00
2023-12-11T03:25:26.492036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:25:26.733876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing563
Missing (%)100.0%
Memory size5.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct471
Distinct (%)84.6%
Missing6
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean342491.89
Minimum330158.95
Maximum355141.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T03:25:27.004941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330158.95
5-th percentile334482.51
Q1339670.33
median342716.77
Q3345448.16
95-th percentile350342.94
Maximum355141.57
Range24982.619
Interquartile range (IQR)5777.8321

Descriptive statistics

Standard deviation4814.331
Coefficient of variation (CV)0.014056774
Kurtosis0.61343349
Mean342491.89
Median Absolute Deviation (MAD)2888.7783
Skewness0.065464011
Sum1.9076798 × 108
Variance23177783
MonotonicityNot monotonic
2023-12-11T03:25:27.277671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345848.227071 4
 
0.7%
334996.730692 4
 
0.7%
340137.682078 4
 
0.7%
344699.486202 3
 
0.5%
334482.5142 3
 
0.5%
330672.657583 3
 
0.5%
341242.558022 3
 
0.5%
348379.176602 3
 
0.5%
343140.711591 3
 
0.5%
332322.395147 3
 
0.5%
Other values (461) 524
93.1%
(Missing) 6
 
1.1%
ValueCountFrequency (%)
330158.953163 1
 
0.2%
330365.456585 1
 
0.2%
330406.288956 1
 
0.2%
330423.107433 2
0.4%
330603.510287 1
 
0.2%
330639.138079 2
0.4%
330672.657583 3
0.5%
330888.997984 1
 
0.2%
330925.25249 1
 
0.2%
331906.0 1
 
0.2%
ValueCountFrequency (%)
355141.571961 1
0.2%
354746.47012 2
0.4%
354734.129813 2
0.4%
354700.751634 2
0.4%
354615.205101 1
0.2%
354552.641608 1
0.2%
354447.860529 1
0.2%
354385.286588 1
0.2%
354377.74441 1
0.2%
354268.085245 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct471
Distinct (%)84.6%
Missing6
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean263512.34
Minimum239183.83
Maximum273551.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T03:25:27.505675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239183.83
5-th percentile257160.08
Q1261721
median263691.66
Q3265613.29
95-th percentile271584.77
Maximum273551.1
Range34367.277
Interquartile range (IQR)3892.2853

Descriptive statistics

Standard deviation4534.7699
Coefficient of variation (CV)0.017208947
Kurtosis5.3611689
Mean263512.34
Median Absolute Deviation (MAD)1943.7642
Skewness-1.2678765
Sum1.4677637 × 108
Variance20564138
MonotonicityNot monotonic
2023-12-11T03:25:27.782860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
267553.077157 4
 
0.7%
257160.077048 4
 
0.7%
264361.585019 4
 
0.7%
264080.692751 3
 
0.5%
256720.047522 3
 
0.5%
248636.739356 3
 
0.5%
266511.537887 3
 
0.5%
266072.81774 3
 
0.5%
264540.730837 3
 
0.5%
266631.541728 3
 
0.5%
Other values (461) 524
93.1%
(Missing) 6
 
1.1%
ValueCountFrequency (%)
239183.827457 1
 
0.2%
244658.0 1
 
0.2%
244735.480978 2
0.4%
244837.601198 1
 
0.2%
244870.803521 1
 
0.2%
245062.259497 1
 
0.2%
245094.689094 2
0.4%
245139.949422 1
 
0.2%
248066.300593 1
 
0.2%
248636.739356 3
0.5%
ValueCountFrequency (%)
273551.104023 1
0.2%
273547.816142 1
0.2%
273133.293155 1
0.2%
273056.994835 1
0.2%
273056.992189 1
0.2%
272975.982997 1
0.2%
272947.055086 1
0.2%
272941.823921 1
0.2%
272750.682271 1
0.2%
272636.919043 1
0.2%

기공용레스수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
532 
2
 
20
3
 
7
10
 
2
4
 
2

Length

Max length2
Median length1
Mean length1.0035524
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 532
94.5%
2 20
 
3.6%
3 7
 
1.2%
10 2
 
0.4%
4 2
 
0.4%

Length

2023-12-11T03:25:28.019121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:28.220482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 532
94.5%
2 20
 
3.6%
3 7
 
1.2%
10 2
 
0.4%
4 2
 
0.4%

원심주조기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
535 
2
 
16
3
 
10
51
 
1
0
 
1

Length

Max length2
Median length1
Mean length1.0017762
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 535
95.0%
2 16
 
2.8%
3 10
 
1.8%
51 1
 
0.2%
0 1
 
0.2%

Length

2023-12-11T03:25:28.433654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:28.609664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 535
95.0%
2 16
 
2.8%
3 10
 
1.8%
51 1
 
0.2%
0 1
 
0.2%

기공용모터수
Real number (ℝ)

Distinct15
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2984014
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T03:25:28.790476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile7
Maximum22
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1714209
Coefficient of variation (CV)0.65832523
Kurtosis23.929368
Mean3.2984014
Median Absolute Deviation (MAD)1
Skewness3.9631483
Sum1857
Variance4.7150686
MonotonicityNot monotonic
2023-12-11T03:25:28.988814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2 235
41.7%
3 165
29.3%
4 66
 
11.7%
5 38
 
6.7%
6 17
 
3.0%
7 9
 
1.6%
1 9
 
1.6%
10 8
 
1.4%
8 6
 
1.1%
9 4
 
0.7%
Other values (5) 6
 
1.1%
ValueCountFrequency (%)
1 9
 
1.6%
2 235
41.7%
3 165
29.3%
4 66
 
11.7%
5 38
 
6.7%
6 17
 
3.0%
7 9
 
1.6%
8 6
 
1.1%
9 4
 
0.7%
10 8
 
1.4%
ValueCountFrequency (%)
22 1
 
0.2%
20 2
 
0.4%
15 1
 
0.2%
12 1
 
0.2%
11 1
 
0.2%
10 8
1.4%
9 4
 
0.7%
8 6
 
1.1%
7 9
1.6%
6 17
3.0%

아세틸렌수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
536 
0
 
15
2
 
6
<NA>
 
5
10
 
1

Length

Max length4
Median length1
Mean length1.0284192
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 536
95.2%
0 15
 
2.7%
2 6
 
1.1%
<NA> 5
 
0.9%
10 1
 
0.2%

Length

2023-12-11T03:25:29.206197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:29.387295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 536
95.2%
0 15
 
2.7%
2 6
 
1.1%
na 5
 
0.9%
10 1
 
0.2%

치과용프레스수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
541 
2
 
18
3
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 541
96.1%
2 18
 
3.2%
3 4
 
0.7%

Length

2023-12-11T03:25:29.597264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:29.766760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 541
96.1%
2 18
 
3.2%
3 4
 
0.7%

전기로수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
440 
2
101 
3
 
18
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 440
78.2%
2 101
 
17.9%
3 18
 
3.2%
4 4
 
0.7%

Length

2023-12-11T03:25:29.958418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:30.158974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 440
78.2%
2 101
 
17.9%
3 18
 
3.2%
4 4
 
0.7%

포셀린로수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
401 
2
122 
3
 
32
4
 
7
8
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 401
71.2%
2 122
 
21.7%
3 32
 
5.7%
4 7
 
1.2%
8 1
 
0.2%

Length

2023-12-11T03:25:30.364866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:30.573399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 401
71.2%
2 122
 
21.7%
3 32
 
5.7%
4 7
 
1.2%
8 1
 
0.2%

초음파청소기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
527 
2
 
33
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 527
93.6%
2 33
 
5.9%
3 3
 
0.5%

Length

2023-12-11T03:25:30.761397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:30.934477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 527
93.6%
2 33
 
5.9%
3 3
 
0.5%

서베이어수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
498 
2
52 
3
 
8
4
 
4
13
 
1

Length

Max length2
Median length1
Mean length1.0017762
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 498
88.5%
2 52
 
9.2%
3 8
 
1.4%
4 4
 
0.7%
13 1
 
0.2%

Length

2023-12-11T03:25:31.526397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:31.719583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 498
88.5%
2 52
 
9.2%
3 8
 
1.4%
4 4
 
0.7%
13 1
 
0.2%

진동기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
517 
2
 
40
3
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 517
91.8%
2 40
 
7.1%
3 6
 
1.1%

Length

2023-12-11T03:25:31.995512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:32.191003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 517
91.8%
2 40
 
7.1%
3 6
 
1.1%

트리머수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
546 
2
 
15
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 546
97.0%
2 15
 
2.7%
3 2
 
0.4%

Length

2023-12-11T03:25:32.454469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:32.624529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 546
97.0%
2 15
 
2.7%
3 2
 
0.4%

기공용컴프레서수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.2%
Missing63
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.138
Minimum0
Maximum11
Zeros4
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T03:25:32.796485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.60306166
Coefficient of variation (CV)0.52993116
Kurtosis147.05806
Mean1.138
Median Absolute Deviation (MAD)0
Skewness9.894569
Sum569
Variance0.36368337
MonotonicityNot monotonic
2023-12-11T03:25:32.987824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 441
78.3%
2 47
 
8.3%
3 6
 
1.1%
0 4
 
0.7%
11 1
 
0.2%
5 1
 
0.2%
(Missing) 63
 
11.2%
ValueCountFrequency (%)
0 4
 
0.7%
1 441
78.3%
2 47
 
8.3%
3 6
 
1.1%
5 1
 
0.2%
11 1
 
0.2%
ValueCountFrequency (%)
11 1
 
0.2%
5 1
 
0.2%
3 6
 
1.1%
2 47
 
8.3%
1 441
78.3%
0 4
 
0.7%

샌드기수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.2%
Missing63
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.408
Minimum0
Maximum5
Zeros4
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T03:25:33.189718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.72289775
Coefficient of variation (CV)0.5134217
Kurtosis4.0550084
Mean1.408
Median Absolute Deviation (MAD)0
Skewness1.858071
Sum704
Variance0.52258116
MonotonicityNot monotonic
2023-12-11T03:25:33.403568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 339
60.2%
2 119
 
21.1%
3 27
 
4.8%
4 9
 
1.6%
0 4
 
0.7%
5 2
 
0.4%
(Missing) 63
 
11.2%
ValueCountFrequency (%)
0 4
 
0.7%
1 339
60.2%
2 119
 
21.1%
3 27
 
4.8%
4 9
 
1.6%
5 2
 
0.4%
ValueCountFrequency (%)
5 2
 
0.4%
4 9
 
1.6%
3 27
 
4.8%
2 119
 
21.1%
1 339
60.2%
0 4
 
0.7%

진공매몰기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
465 
<NA>
63 
2
 
26
3
 
5
0
 
4

Length

Max length4
Median length1
Mean length1.3357016
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 465
82.6%
<NA> 63
 
11.2%
2 26
 
4.6%
3 5
 
0.9%
0 4
 
0.7%

Length

2023-12-11T03:25:33.654536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:33.862697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 465
82.6%
na 63
 
11.2%
2 26
 
4.6%
3 5
 
0.9%
0 4
 
0.7%

핀덱스수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
470 
<NA>
63 
2
 
18
0
 
12

Length

Max length4
Median length1
Mean length1.3357016
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 470
83.5%
<NA> 63
 
11.2%
2 18
 
3.2%
0 12
 
2.1%

Length

2023-12-11T03:25:34.084017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:25:34.277066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 470
83.5%
na 63
 
11.2%
2 18
 
3.2%
0 12
 
2.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
01치과기공소01_02_04_P3410000PHMB32007341002306230000120070402<NA>1영업/정상13영업중<NA><NA><NA><NA>053-426-9534<NA>700823대구광역시 중구 봉산동 220번지 45호대구광역시 중구 봉산문화길 28 (봉산동)41959아이오랩치과기공소20111229110611I2018-08-31 23:59:59.0<NA>344292.480084263540.700624112111111111111
12치과기공소01_02_04_P3410000PHMB32008341002306230000120080306<NA>1영업/정상13영업중<NA><NA><NA><NA>053-766-2552<NA>700411대구광역시 중구 삼덕동1가 49번지 3호대구광역시 중구 공평로 11 (삼덕동1가)41942아진덴탈테크피아치과기공소20111213213603I2018-08-31 23:59:59.0<NA>344397.008119263942.811212112111111111111
23치과기공소01_02_04_P3410000PHMB32008341002306230000220080723<NA>1영업/정상13영업중<NA><NA><NA><NA>053-257-8778<NA><NA>대구광역시 중구 봉산동 223번지 27호대구광역시 중구 봉산문화길 34, 3층 (봉산동)41959초석치과기공소20170607165542I2018-08-31 23:59:59.0<NA>344273.900879263563.56188213111111111111
34치과기공소01_02_04_P3410000PHMB32008341002306230000320081002<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700191대구광역시 중구 종로1가 13번지 2호 2층대구광역시 중구 종로 58 (종로1가)41918해바라기치과기공소20111214191340I2018-08-31 23:59:59.0<NA>343633.495714264579.413396112111111111111
45치과기공소01_02_04_P3410000PHMB32014341002306230000120140129<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 국채보상로150길 22 (동인동4가)41946최윤석치과기공소20140203095439I2018-08-31 23:59:59.0<NA>345455.573247264232.583474113111211121111
56치과기공소01_02_04_P3410000PHMB32014341002306230000220140424<NA>1영업/정상13영업중<NA><NA><NA><NA>254-2805<NA>700252대구광역시 중구 서문로2가 44번지 1호대구광역시 중구 국채보상로 503 (서문로2가)41921민스치과기공소20140424104542I2018-08-31 23:59:59.0<NA>343140.711591264540.730837115112211111111
67치과기공소01_02_04_P3410000PHMB32014341002306230000320140605<NA>1영업/정상13영업중<NA><NA><NA><NA>424-2808<NA><NA>대구광역시 중구 동인동2가 227번지 14호대구광역시 중구 국채보상로140길 10-5, 2층 (동인동2가)41944클래스치과기공소20160523174105I2018-08-31 23:59:59.0<NA>344983.734664264324.588558313111111111111
78치과기공소01_02_04_P3410000PHMB32014341002306230000420140627<NA>1영업/정상13영업중<NA><NA><NA><NA>242-2804<NA><NA>대구광역시 중구 공평동 11번지 3호대구광역시 중구 국채보상로 625 (공평동)41913라인치과기공소20181227110519U2018-12-29 02:40:00.0<NA>344351.9128264540.139648314111121111111
89치과기공소01_02_04_P3410000PHMB32015341002306230000320151120<NA>1영업/정상13영업중<NA><NA><NA><NA>421-7882<NA><NA>대구광역시 중구 삼덕동2가 106번지 16호대구광역시 중구 공평로8길 56, 3,4층 (삼덕동2가)41940디자인치과기공소(주)20190702091249U2019-07-04 02:40:00.0<NA>344699.486202264080.6927511110113332222311
910치과기공소01_02_04_P3410000PHMB32016341002306230000120160701<NA>1영업/정상13영업중<NA><NA><NA><NA>632-2809<NA><NA>대구광역시 중구 대봉동 20번지 71호대구광역시 중구 달구벌대로 2206, 2층 (대봉동, 중앙빌딩)41951알엔제이(R.N.J)치과기공소20160701113106I2018-08-31 23:59:59.0<NA>344840.013657263674.927335114112212212211
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
553554치과기공소01_02_04_P3480000PHMB32016348001206230000220160412<NA>1영업/정상13영업중<NA><NA><NA><NA>053-585-2805<NA><NA>대구광역시 달성군 다사읍 이천리 571번지 8호대구광역시 달성군 다사읍 다사로71길 37-2842907디아트치과기공소20170123092820I2018-08-31 23:59:59.0<NA>332169.441816266751.661957112111111111111
554555치과기공소01_02_04_P3480000PHMB32017348001206230000120170913<NA>1영업/정상13영업중<NA><NA><NA><NA>053-581-2801<NA><NA>대구광역시 달성군 다사읍 이천리 543번지 1호대구광역시 달성군 다사읍 다사로71길 3542907지디에스센터치과기공소20170913131036I2018-08-31 23:59:59.0<NA>332322.395147266631.541728117131211112212
555556치과기공소01_02_04_P3480000PHMB32017348001206230000220170915<NA>1영업/정상13영업중<NA><NA><NA><NA>053-585-2805<NA><NA>대구광역시 달성군 다사읍 이천리 543번지 1호대구광역시 달성군 다사읍 다사로71길 3542907덴탈라인치과기공소20170918095640I2018-08-31 23:59:59.0<NA>332322.395147266631.541728117131111112212
556557치과기공소01_02_04_P3480000PHMB32010348001206230000220100721<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>711812대구광역시 달성군 다사읍 매곡리 1277번지 4호대구광역시 달성군 다사읍 달구벌대로 835, 2층42910코아치과기공소20130716104907I2018-08-31 23:59:59.0<NA>332143.593567263445.849437114111111111111
557558치과기공소01_02_04_P3480000PHMB32011348001206230000120110322<NA>1영업/정상13영업중<NA><NA><NA><NA>355-2805<NA>711815대구광역시 달성군 다사읍 죽곡리 809번지 3호대구광역시 달성군 다사읍 대실역남로 242918제스트치과기공소20130430154059I2018-08-31 23:59:59.0<NA>332287.211983262891.224718112111111111111
558559치과기공소01_02_04_P3480000PHMB32013348001206230000120130307<NA>1영업/정상13영업중<NA><NA><NA><NA>611-2803<NA>711872대구광역시 달성군 현풍읍 부리 453번지 5호대구광역시 달성군 현풍읍 현풍중앙로21길 33-943000에스엠치과기공소20130308174525I2018-08-31 23:59:59.0<NA>330423.107433245094.689094115112111111111
559560치과기공소01_02_04_P3480000PHMB32014348001206230000220141106<NA>1영업/정상13영업중<NA><NA><NA><NA>053-634-2804<NA><NA>대구광역시 달성군 화원읍 명곡리 213번지대구광역시 달성군 화원읍 비슬로 2490, 3층42956지디에스대평치과기공소20171101131542I2018-08-31 23:59:59.0<NA>334685.610765256499.6587982210112422212421
560561치과기공소01_02_04_P3480000PHMB32020348001206230000220200602<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 이천리 543번지 1호대구광역시 달성군 다사읍 다사로71길 35, 2층 201,202호42907덴탈하우스20200602140135I2020-06-04 00:23:18.0<NA>332322.395147266631.541728112111111111111
561562치과기공소01_02_04_P3480000PHMB32021348001206230000220181113<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 824-8대구광역시 달성군 논공읍 논공로 749, 2층42986허브치과기공소20211019111655I2021-10-21 00:22:46.0<NA>330672.657583248636.739356114112211111211
562563치과기공소01_02_04_P3480000PHMB32000348001206230000120000605<NA>3폐업3폐업20020710<NA><NA><NA><NA><NA>711834대구광역시 달성군 화원읍 천내리 101번지 5호대구광역시 달성군 화원읍 사문진로 413711834해동치과기공소20140321102856I2018-08-31 23:59:59.0<NA>334996.730692257160.077048112111111111111