Overview

Dataset statistics

Number of variables43
Number of observations509
Missing cells3848
Missing cells (%)17.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory187.0 KiB
Average record size in memory376.3 B

Variable types

Numeric12
Categorical20
Text5
Unsupported6

Dataset

Description6270000_대구광역시_01_02_04_P_치과기공소_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000068007&dataSetDetailId=DDI_0000068058&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
데이터갱신구분 is highly imbalanced (68.5%)Imbalance
데이터갱신일자 is highly imbalanced (82.7%)Imbalance
기공용레스수 is highly imbalanced (84.1%)Imbalance
원심주조기수 is highly imbalanced (84.0%)Imbalance
아세틸렌수 is highly imbalanced (86.8%)Imbalance
치과용프레스수 is highly imbalanced (83.7%)Imbalance
전기로수 is highly imbalanced (56.5%)Imbalance
초음파청소기수 is highly imbalanced (75.9%)Imbalance
서베이어수 is highly imbalanced (74.1%)Imbalance
진동기수 is highly imbalanced (71.5%)Imbalance
트리머수 is highly imbalanced (88.5%)Imbalance
진공매몰기수 is highly imbalanced (59.1%)Imbalance
핀덱스수 is highly imbalanced (58.1%)Imbalance
인허가취소일자 has 509 (100.0%) missing valuesMissing
폐업일자 has 298 (58.5%) missing valuesMissing
휴업시작일자 has 509 (100.0%) missing valuesMissing
휴업종료일자 has 509 (100.0%) missing valuesMissing
재개업일자 has 509 (100.0%) missing valuesMissing
소재지전화 has 140 (27.5%) missing valuesMissing
소재지면적 has 509 (100.0%) missing valuesMissing
소재지우편번호 has 135 (26.5%) missing valuesMissing
소재지전체주소 has 21 (4.1%) missing valuesMissing
도로명우편번호 has 53 (10.4%) missing valuesMissing
업태구분명 has 509 (100.0%) missing valuesMissing
기공용컴프레서수 has 66 (13.0%) missing valuesMissing
샌드기수 has 66 (13.0%) 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 20:22:19.626916
Analysis finished2023-12-10 20:22:20.890010
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct509
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean255
Minimum1
Maximum509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:22:21.372211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.4
Q1128
median255
Q3382
95-th percentile483.6
Maximum509
Range508
Interquartile range (IQR)254

Descriptive statistics

Standard deviation147.07991
Coefficient of variation (CV)0.57678396
Kurtosis-1.2
Mean255
Median Absolute Deviation (MAD)127
Skewness0
Sum129795
Variance21632.5
MonotonicityStrictly increasing
2023-12-11T05:22:21.609044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
336 1
 
0.2%
349 1
 
0.2%
348 1
 
0.2%
347 1
 
0.2%
346 1
 
0.2%
345 1
 
0.2%
344 1
 
0.2%
343 1
 
0.2%
342 1
 
0.2%
Other values (499) 499
98.0%
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 (%)
509 1
0.2%
508 1
0.2%
507 1
0.2%
506 1
0.2%
505 1
0.2%
504 1
0.2%
503 1
0.2%
502 1
0.2%
501 1
0.2%
500 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
치과기공소
509 

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 509
100.0%

Length

2023-12-11T05:22:21.825435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:21.988442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치과기공소 509
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
01_02_04_P
509 

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 509
100.0%

Length

2023-12-11T05:22:22.196660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:22.368671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_04_p 509
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445461.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:22:22.518909image/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 deviation22780.038
Coefficient of variation (CV)0.0066116068
Kurtosis-1.2393811
Mean3445461.7
Median Absolute Deviation (MAD)20000
Skewness-0.22607706
Sum1.75374 × 109
Variance5.1893012 × 108
MonotonicityIncreasing
2023-12-11T05:22:22.714619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 100
19.6%
3450000 97
19.1%
3410000 78
15.3%
3460000 59
11.6%
3420000 55
10.8%
3440000 42
8.3%
3430000 41
8.1%
3480000 37
 
7.3%
ValueCountFrequency (%)
3410000 78
15.3%
3420000 55
10.8%
3430000 41
8.1%
3440000 42
8.3%
3450000 97
19.1%
3460000 59
11.6%
3470000 100
19.6%
3480000 37
 
7.3%
ValueCountFrequency (%)
3480000 37
 
7.3%
3470000 100
19.6%
3460000 59
11.6%
3450000 97
19.1%
3440000 42
8.3%
3430000 41
8.1%
3420000 55
10.8%
3410000 78
15.3%

관리번호
Text

UNIQUE 

Distinct509
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T05:22:23.039294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters12725
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

Unique509 ?
Unique (%)100.0%

Sample

1st rowPHMB319873410023062300001
2nd rowPHMB319863410023062300001
3rd rowPHMB319853410023062300001
4th rowPHMB319903410023062300001
5th rowPHMB319753410023062300001
ValueCountFrequency (%)
phmb319873410023062300001 1
 
0.2%
phmb319903460023062300001 1
 
0.2%
phmb319983460023062300001 1
 
0.2%
phmb320173460023062300002 1
 
0.2%
phmb320173460023062300003 1
 
0.2%
phmb320173460023062300004 1
 
0.2%
phmb320173460023062300005 1
 
0.2%
phmb320153460023062300004 1
 
0.2%
phmb320153460023062300002 1
 
0.2%
phmb320153460023062300003 1
 
0.2%
Other values (499) 499
98.0%
2023-12-11T05:22:23.536379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4199
33.0%
3 1893
14.9%
2 1808
14.2%
1 734
 
5.8%
4 708
 
5.6%
6 633
 
5.0%
P 509
 
4.0%
H 509
 
4.0%
M 509
 
4.0%
B 509
 
4.0%
Other values (4) 714
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10689
84.0%
Uppercase Letter 2036
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4199
39.3%
3 1893
17.7%
2 1808
16.9%
1 734
 
6.9%
4 708
 
6.6%
6 633
 
5.9%
9 264
 
2.5%
5 189
 
1.8%
7 159
 
1.5%
8 102
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 509
25.0%
H 509
25.0%
M 509
25.0%
B 509
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10689
84.0%
Latin 2036
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4199
39.3%
3 1893
17.7%
2 1808
16.9%
1 734
 
6.9%
4 708
 
6.6%
6 633
 
5.9%
9 264
 
2.5%
5 189
 
1.8%
7 159
 
1.5%
8 102
 
1.0%
Latin
ValueCountFrequency (%)
P 509
25.0%
H 509
25.0%
M 509
25.0%
B 509
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4199
33.0%
3 1893
14.9%
2 1808
14.2%
1 734
 
5.8%
4 708
 
5.6%
6 633
 
5.0%
P 509
 
4.0%
H 509
 
4.0%
M 509
 
4.0%
B 509
 
4.0%
Other values (4) 714
 
5.6%

인허가일자
Real number (ℝ)

Distinct486
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20065942
Minimum19740228
Maximum20190709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:22:23.827621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19740228
5-th percentile19910515
Q120010428
median20080303
Q320140102
95-th percentile20170914
Maximum20190709
Range450481
Interquartile range (IQR)129674

Descriptive statistics

Standard deviation84934.134
Coefficient of variation (CV)0.0042327509
Kurtosis0.32158931
Mean20065942
Median Absolute Deviation (MAD)60210
Skewness-0.79537856
Sum1.0213564 × 1010
Variance7.2138072 × 109
MonotonicityNot monotonic
2023-12-11T05:22:24.083040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990520 2
 
0.4%
20150429 2
 
0.4%
20130902 2
 
0.4%
20040908 2
 
0.4%
20120501 2
 
0.4%
20130709 2
 
0.4%
19980206 2
 
0.4%
20141010 2
 
0.4%
19980711 2
 
0.4%
20030603 2
 
0.4%
Other values (476) 489
96.1%
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 (%)
20190709 1
0.2%
20190531 1
0.2%
20190515 1
0.2%
20190425 1
0.2%
20190326 1
0.2%
20190306 1
0.2%
20190212 1
0.2%
20190211 1
0.2%
20190129 1
0.2%
20190122 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing509
Missing (%)100.0%
Memory size4.6 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
356 
3
152 
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 (%)
1 356
69.9%
3 152
29.9%
4 1
 
0.2%

Length

2023-12-11T05:22:24.290054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:24.441686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 356
69.9%
3 152
29.9%
4 1
 
0.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
영업/정상
356 
폐업
152 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.1218075
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 356
69.9%
폐업 152
29.9%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2023-12-11T05:22:24.606705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:24.768581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 356
69.9%
폐업 152
29.9%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
13
356 
3
152 
24
 
1

Length

Max length2
Median length2
Mean length1.7013752
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 356
69.9%
3 152
29.9%
24 1
 
0.2%

Length

2023-12-11T05:22:24.961732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:25.109838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 356
69.9%
3 152
29.9%
24 1
 
0.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
영업중
356 
폐업
152 
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.7033399
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 356
69.9%
폐업 152
29.9%
직권폐업 1
 
0.2%

Length

2023-12-11T05:22:25.292405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:25.481148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 356
69.9%
폐업 152
29.9%
직권폐업 1
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct198
Distinct (%)93.8%
Missing298
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean20132981
Minimum19950225
Maximum20190515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:22:25.701009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950225
5-th percentile20065610
Q120111220
median20140722
Q320160468
95-th percentile20180574
Maximum20190515
Range240290
Interquartile range (IQR)49248

Descriptive statistics

Standard deviation41496.865
Coefficient of variation (CV)0.0020611386
Kurtosis5.0658672
Mean20132981
Median Absolute Deviation (MAD)20079
Skewness-1.9136473
Sum4.248059 × 109
Variance1.7219898 × 109
MonotonicityNot monotonic
2023-12-11T05:22:25.968900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140722 2
 
0.4%
20140408 2
 
0.4%
20140102 2
 
0.4%
20160818 2
 
0.4%
20140701 2
 
0.4%
20130902 2
 
0.4%
20170502 2
 
0.4%
20141104 2
 
0.4%
20120125 2
 
0.4%
20150921 2
 
0.4%
Other values (188) 191
37.5%
(Missing) 298
58.5%
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 (%)
20190515 1
0.2%
20190321 1
0.2%
20190306 1
0.2%
20190211 1
0.2%
20190129 1
0.2%
20181231 1
0.2%
20181210 1
0.2%
20181113 1
0.2%
20180928 1
0.2%
20180802 1
0.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing509
Missing (%)100.0%
Memory size4.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing509
Missing (%)100.0%
Memory size4.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing509
Missing (%)100.0%
Memory size4.6 KiB

소재지전화
Text

MISSING 

Distinct346
Distinct (%)93.8%
Missing140
Missing (%)27.5%
Memory size4.1 KiB
2023-12-11T05:22:26.361135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.95393
Min length8

Characters and Unicode

Total characters4042
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

Unique326 ?
Unique (%)88.3%

Sample

1st row053-257-3708
2nd row053-253-7678
3rd row053-557-3677
4th row053-255-0650
5th row053-254-4665
ValueCountFrequency (%)
053-423-6566 3
 
0.8%
053-248-9010 3
 
0.8%
632-5689 3
 
0.8%
053-766-0428 2
 
0.5%
426-2804 2
 
0.5%
070-4408-2804 2
 
0.5%
559-8458 2
 
0.5%
053-791-2879 2
 
0.5%
053-426-3887 2
 
0.5%
053-254-4674 2
 
0.5%
Other values (336) 346
93.8%
2023-12-11T05:22:27.001473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 621
15.4%
- 597
14.8%
0 491
12.1%
3 484
12.0%
2 460
11.4%
8 297
7.3%
4 286
7.1%
6 275
6.8%
7 209
 
5.2%
1 166
 
4.1%
Other values (2) 156
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3443
85.2%
Dash Punctuation 597
 
14.8%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 621
18.0%
0 491
14.3%
3 484
14.1%
2 460
13.4%
8 297
8.6%
4 286
8.3%
6 275
8.0%
7 209
 
6.1%
1 166
 
4.8%
9 154
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 597
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4042
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 621
15.4%
- 597
14.8%
0 491
12.1%
3 484
12.0%
2 460
11.4%
8 297
7.3%
4 286
7.1%
6 275
6.8%
7 209
 
5.2%
1 166
 
4.1%
Other values (2) 156
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4042
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 621
15.4%
- 597
14.8%
0 491
12.1%
3 484
12.0%
2 460
11.4%
8 297
7.3%
4 286
7.1%
6 275
6.8%
7 209
 
5.2%
1 166
 
4.1%
Other values (2) 156
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing509
Missing (%)100.0%
Memory size4.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct232
Distinct (%)62.0%
Missing135
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean699222.02
Minimum42085
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:22:27.286766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42085
5-th percentile700252
Q1701809.25
median703047
Q3704941
95-th percentile711834
Maximum711874
Range669789
Interquartile range (IQR)3131.75

Descriptive statistics

Standard deviation52609.856
Coefficient of variation (CV)0.075240559
Kurtosis138.28134
Mean699222.02
Median Absolute Deviation (MAD)1885
Skewness-11.655962
Sum2.6150904 × 108
Variance2.7677969 × 109
MonotonicityNot monotonic
2023-12-11T05:22:27.535587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704932 7
 
1.4%
711834 7
 
1.4%
701020 6
 
1.2%
701010 5
 
1.0%
702072 5
 
1.0%
701030 5
 
1.0%
700252 5
 
1.0%
704809 4
 
0.8%
706170 4
 
0.8%
702722 4
 
0.8%
Other values (222) 322
63.3%
(Missing) 135
26.5%
ValueCountFrequency (%)
42085 1
 
0.2%
42737 1
 
0.2%
301131 1
 
0.2%
700010 2
0.4%
700030 1
 
0.2%
700060 3
0.6%
700113 1
 
0.2%
700140 1
 
0.2%
700170 1
 
0.2%
700191 2
0.4%
ValueCountFrequency (%)
711874 3
0.6%
711872 4
0.8%
711857 1
 
0.2%
711852 1
 
0.2%
711839 3
0.6%
711838 1
 
0.2%
711835 2
 
0.4%
711834 7
1.4%
711833 1
 
0.2%
711815 1
 
0.2%

소재지전체주소
Text

MISSING 

Distinct455
Distinct (%)93.2%
Missing21
Missing (%)4.1%
Memory size4.1 KiB
2023-12-11T05:22:28.098696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length24.008197
Min length13

Characters and Unicode

Total characters11716
Distinct characters167
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

Unique428 ?
Unique (%)87.7%

Sample

1st row대구광역시 중구 종로1가 6번지 5호
2nd row대구광역시 중구 전동 33번지
3rd row대구광역시 중구 달성동 219번지 18호
4th row대구광역시 중구 수창동 44번지 29호
5th row대구광역시 중구 남산동 248번지 3호
ValueCountFrequency (%)
대구광역시 487
 
18.5%
북구 96
 
3.6%
달서구 89
 
3.4%
1호 79
 
3.0%
중구 77
 
2.9%
수성구 56
 
2.1%
동구 55
 
2.1%
3층 45
 
1.7%
2층 44
 
1.7%
2호 42
 
1.6%
Other values (659) 1561
59.3%
2023-12-11T05:22:28.937829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2152
18.4%
구 950
 
8.1%
1 564
 
4.8%
대 548
 
4.7%
동 524
 
4.5%
지 492
 
4.2%
시 491
 
4.2%
광 488
 
4.2%
역 488
 
4.2%
번 484
 
4.1%
Other values (157) 4535
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6968
59.5%
Decimal Number 2498
 
21.3%
Space Separator 2152
 
18.4%
Close Punctuation 42
 
0.4%
Open Punctuation 42
 
0.4%
Other Punctuation 8
 
0.1%
Uppercase Letter 3
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 950
13.6%
대 548
 
7.9%
동 524
 
7.5%
지 492
 
7.1%
시 491
 
7.0%
광 488
 
7.0%
역 488
 
7.0%
번 484
 
6.9%
호 470
 
6.7%
서 144
 
2.1%
Other values (140) 1889
27.1%
Decimal Number
ValueCountFrequency (%)
1 564
22.6%
2 406
16.3%
3 309
12.4%
5 216
 
8.6%
4 196
 
7.8%
0 195
 
7.8%
6 188
 
7.5%
8 148
 
5.9%
9 142
 
5.7%
7 134
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 5
62.5%
. 3
37.5%
Space Separator
ValueCountFrequency (%)
2152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6968
59.5%
Common 4745
40.5%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 950
13.6%
대 548
 
7.9%
동 524
 
7.5%
지 492
 
7.1%
시 491
 
7.0%
광 488
 
7.0%
역 488
 
7.0%
번 484
 
6.9%
호 470
 
6.7%
서 144
 
2.1%
Other values (140) 1889
27.1%
Common
ValueCountFrequency (%)
2152
45.4%
1 564
 
11.9%
2 406
 
8.6%
3 309
 
6.5%
5 216
 
4.6%
4 196
 
4.1%
0 195
 
4.1%
6 188
 
4.0%
8 148
 
3.1%
9 142
 
3.0%
Other values (6) 229
 
4.8%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6968
59.5%
ASCII 4748
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2152
45.3%
1 564
 
11.9%
2 406
 
8.6%
3 309
 
6.5%
5 216
 
4.5%
4 196
 
4.1%
0 195
 
4.1%
6 188
 
4.0%
8 148
 
3.1%
9 142
 
3.0%
Other values (7) 232
 
4.9%
Hangul
ValueCountFrequency (%)
구 950
13.6%
대 548
 
7.9%
동 524
 
7.5%
지 492
 
7.1%
시 491
 
7.0%
광 488
 
7.0%
역 488
 
7.0%
번 484
 
6.9%
호 470
 
6.7%
서 144
 
2.1%
Other values (140) 1889
27.1%

도로명전체주소
Text

Distinct465
Distinct (%)92.3%
Missing5
Missing (%)1.0%
Memory size4.1 KiB
2023-12-11T05:22:29.493363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length26.357143
Min length19

Characters and Unicode

Total characters13284
Distinct characters204
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

Unique429 ?
Unique (%)85.1%

Sample

1st row대구광역시 중구 국채보상로 553 (종로1가)
2nd row대구광역시 중구 국채보상로 566 (전동)
3rd row대구광역시 중구 달성로21길 17, 1층 (달성동)
4th row대구광역시 중구 서성로 89 (수창동)
5th row대구광역시 중구 재마루1길 19 (남산동)
ValueCountFrequency (%)
대구광역시 504
 
18.0%
달서구 100
 
3.6%
북구 95
 
3.4%
중구 77
 
2.8%
2층 72
 
2.6%
3층 69
 
2.5%
수성구 59
 
2.1%
동구 55
 
2.0%
남구 41
 
1.5%
서구 40
 
1.4%
Other values (725) 1688
60.3%
2023-12-11T05:22:30.326565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2296
17.3%
구 1036
 
7.8%
대 673
 
5.1%
동 594
 
4.5%
시 510
 
3.8%
광 505
 
3.8%
역 505
 
3.8%
로 501
 
3.8%
) 475
 
3.6%
( 475
 
3.6%
Other values (194) 5714
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7716
58.1%
Space Separator 2296
 
17.3%
Decimal Number 1986
 
15.0%
Close Punctuation 475
 
3.6%
Open Punctuation 475
 
3.6%
Other Punctuation 250
 
1.9%
Dash Punctuation 83
 
0.6%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1036
 
13.4%
대 673
 
8.7%
동 594
 
7.7%
시 510
 
6.6%
광 505
 
6.5%
역 505
 
6.5%
로 501
 
6.5%
층 213
 
2.8%
성 190
 
2.5%
달 187
 
2.4%
Other values (178) 2802
36.3%
Decimal Number
ValueCountFrequency (%)
1 377
19.0%
2 361
18.2%
3 293
14.8%
4 182
9.2%
5 168
8.5%
0 147
 
7.4%
6 141
 
7.1%
7 121
 
6.1%
8 108
 
5.4%
9 88
 
4.4%
Space Separator
ValueCountFrequency (%)
2296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 475
100.0%
Open Punctuation
ValueCountFrequency (%)
( 475
100.0%
Other Punctuation
ValueCountFrequency (%)
, 250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7716
58.1%
Common 5565
41.9%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1036
 
13.4%
대 673
 
8.7%
동 594
 
7.7%
시 510
 
6.6%
광 505
 
6.5%
역 505
 
6.5%
로 501
 
6.5%
층 213
 
2.8%
성 190
 
2.5%
달 187
 
2.4%
Other values (178) 2802
36.3%
Common
ValueCountFrequency (%)
2296
41.3%
) 475
 
8.5%
( 475
 
8.5%
1 377
 
6.8%
2 361
 
6.5%
3 293
 
5.3%
, 250
 
4.5%
4 182
 
3.3%
5 168
 
3.0%
0 147
 
2.6%
Other values (5) 541
 
9.7%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7716
58.1%
ASCII 5568
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2296
41.2%
) 475
 
8.5%
( 475
 
8.5%
1 377
 
6.8%
2 361
 
6.5%
3 293
 
5.3%
, 250
 
4.5%
4 182
 
3.3%
5 168
 
3.0%
0 147
 
2.6%
Other values (6) 544
 
9.8%
Hangul
ValueCountFrequency (%)
구 1036
 
13.4%
대 673
 
8.7%
동 594
 
7.7%
시 510
 
6.6%
광 505
 
6.5%
역 505
 
6.5%
로 501
 
6.5%
층 213
 
2.8%
성 190
 
2.5%
달 187
 
2.4%
Other values (178) 2802
36.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct324
Distinct (%)71.1%
Missing53
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean145322.92
Minimum41034
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:22:30.553841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41034
5-th percentile41199.5
Q141577
median42126
Q342766.75
95-th percentile705830.25
Maximum711874
Range670840
Interquartile range (IQR)1189.75

Descriptive statistics

Standard deviation240804.35
Coefficient of variation (CV)1.6570294
Kurtosis1.6388482
Mean145322.92
Median Absolute Deviation (MAD)577
Skewness1.9056106
Sum66267252
Variance5.7986733 × 1010
MonotonicityNot monotonic
2023-12-11T05:22:30.784928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41921 6
 
1.2%
41535 5
 
1.0%
42907 4
 
0.8%
42644 4
 
0.8%
41263 4
 
0.8%
41453 4
 
0.8%
711834 4
 
0.8%
41942 4
 
0.8%
41940 4
 
0.8%
42696 4
 
0.8%
Other values (314) 413
81.1%
(Missing) 53
 
10.4%
ValueCountFrequency (%)
41034 1
0.2%
41059 2
0.4%
41067 1
0.2%
41111 1
0.2%
41112 1
0.2%
41116 2
0.4%
41119 1
0.2%
41120 1
0.2%
41122 1
0.2%
41146 2
0.4%
ValueCountFrequency (%)
711874 2
0.4%
711872 2
0.4%
711855 1
 
0.2%
711839 3
0.6%
711838 1
 
0.2%
711835 1
 
0.2%
711834 4
0.8%
711833 1
 
0.2%
706844 1
 
0.2%
706837 1
 
0.2%

사업장명
Text

Distinct435
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T05:22:31.176223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length7
Mean length7.7092338
Min length2

Characters and Unicode

Total characters3924
Distinct characters308
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

Unique372 ?
Unique (%)73.1%

Sample

1st row심인치과기공소
2nd row강백치과기공소
3rd row서진치과기공소
4th row대원치과기공소
5th row제일치과기공소
ValueCountFrequency (%)
치과기공소 7
 
1.3%
늘푸른치과기공소 4
 
0.8%
에이스치과기공소 3
 
0.6%
경운치과기공소 3
 
0.6%
매니아치과기공소 3
 
0.6%
다인치과기공소 3
 
0.6%
다미안치과기공소 3
 
0.6%
가온치과기공소 3
 
0.6%
성심치과기공소 3
 
0.6%
다온치과기공소 3
 
0.6%
Other values (435) 492
93.4%
2023-12-11T05:22:31.912149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 497
 
12.7%
기 493
 
12.6%
치 492
 
12.5%
소 492
 
12.5%
과 483
 
12.3%
이 63
 
1.6%
아 48
 
1.2%
스 47
 
1.2%
에 29
 
0.7%
디 27
 
0.7%
Other values (298) 1253
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3750
95.6%
Uppercase Letter 63
 
1.6%
Lowercase Letter 41
 
1.0%
Space Separator 18
 
0.5%
Open Punctuation 17
 
0.4%
Close Punctuation 17
 
0.4%
Other Punctuation 8
 
0.2%
Decimal Number 8
 
0.2%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 497
13.3%
기 493
13.1%
치 492
13.1%
소 492
13.1%
과 483
12.9%
이 63
 
1.7%
아 48
 
1.3%
스 47
 
1.3%
에 29
 
0.8%
디 27
 
0.7%
Other values (258) 1079
28.8%
Uppercase Letter
ValueCountFrequency (%)
D 10
15.9%
M 7
11.1%
C 6
9.5%
S 6
9.5%
N 6
9.5%
L 5
7.9%
J 3
 
4.8%
W 3
 
4.8%
A 3
 
4.8%
T 2
 
3.2%
Other values (10) 12
19.0%
Lowercase Letter
ValueCountFrequency (%)
e 12
29.3%
l 8
19.5%
a 7
17.1%
n 3
 
7.3%
b 3
 
7.3%
t 3
 
7.3%
u 2
 
4.9%
c 2
 
4.9%
r 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 3
37.5%
5 1
 
12.5%
0 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 7
87.5%
& 1
 
12.5%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3750
95.6%
Latin 104
 
2.7%
Common 70
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 497
13.3%
기 493
13.1%
치 492
13.1%
소 492
13.1%
과 483
12.9%
이 63
 
1.7%
아 48
 
1.3%
스 47
 
1.3%
에 29
 
0.8%
디 27
 
0.7%
Other values (258) 1079
28.8%
Latin
ValueCountFrequency (%)
e 12
 
11.5%
D 10
 
9.6%
l 8
 
7.7%
M 7
 
6.7%
a 7
 
6.7%
C 6
 
5.8%
S 6
 
5.8%
N 6
 
5.8%
L 5
 
4.8%
J 3
 
2.9%
Other values (19) 34
32.7%
Common
ValueCountFrequency (%)
18
25.7%
( 17
24.3%
) 17
24.3%
. 7
 
10.0%
1 3
 
4.3%
2 3
 
4.3%
& 1
 
1.4%
5 1
 
1.4%
0 1
 
1.4%
+ 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3750
95.6%
ASCII 174
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 497
13.3%
기 493
13.1%
치 492
13.1%
소 492
13.1%
과 483
12.9%
이 63
 
1.7%
아 48
 
1.3%
스 47
 
1.3%
에 29
 
0.8%
디 27
 
0.7%
Other values (258) 1079
28.8%
ASCII
ValueCountFrequency (%)
18
 
10.3%
( 17
 
9.8%
) 17
 
9.8%
e 12
 
6.9%
D 10
 
5.7%
l 8
 
4.6%
M 7
 
4.0%
a 7
 
4.0%
. 7
 
4.0%
C 6
 
3.4%
Other values (30) 65
37.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct509
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0141685 × 1013
Minimum2.0090202 × 1013
Maximum2.0190807 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:22:32.173446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0090202 × 1013
5-th percentile2.0110553 × 1013
Q12.0111223 × 1013
median2.014052 × 1013
Q32.0161108 × 1013
95-th percentile2.0190102 × 1013
Maximum2.0190807 × 1013
Range1.0060507 × 1011
Interquartile range (IQR)4.9885059 × 1010

Descriptive statistics

Standard deviation2.7252982 × 1010
Coefficient of variation (CV)0.0013530637
Kurtosis-1.1821207
Mean2.0141685 × 1013
Median Absolute Deviation (MAD)2.9297031 × 1010
Skewness0.17575399
Sum1.0252117 × 1016
Variance7.4272505 × 1020
MonotonicityNot monotonic
2023-12-11T05:22:32.427960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111206104518 1
 
0.2%
20170922095502 1
 
0.2%
20141219174525 1
 
0.2%
20170330091054 1
 
0.2%
20170719165105 1
 
0.2%
20170727175935 1
 
0.2%
20170922095249 1
 
0.2%
20150520095110 1
 
0.2%
20150406144126 1
 
0.2%
20150503101340 1
 
0.2%
Other values (499) 499
98.0%
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 (%)
20190807180919 1
0.2%
20190724143239 1
0.2%
20190723113537 1
0.2%
20190723113334 1
0.2%
20190718085904 1
0.2%
20190712095240 1
0.2%
20190709171452 1
0.2%
20190702091249 1
0.2%
20190618145620 1
0.2%
20190604151518 1
0.2%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
I
480 
U
 
29

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 480
94.3%
U 29
 
5.7%

Length

2023-12-11T05:22:32.669617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:32.840835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 480
94.3%
u 29
 
5.7%

데이터갱신일자
Categorical

IMBALANCE 

Distinct43
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2018-08-31 23:59:59.0
462 
2018-11-15 02:35:43.0
 
2
2018-11-14 02:35:54.0
 
2
2019-07-25 02:40:00.0
 
2
2019-01-02 02:40:00.0
 
2
Other values (38)
 
39

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique37 ?
Unique (%)7.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-12-07 02:40:00.0
3rd row2019-03-16 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 462
90.8%
2018-11-15 02:35:43.0 2
 
0.4%
2018-11-14 02:35:54.0 2
 
0.4%
2019-07-25 02:40:00.0 2
 
0.4%
2019-01-02 02:40:00.0 2
 
0.4%
2018-10-18 02:35:30.0 2
 
0.4%
2019-07-26 02:40:00.0 1
 
0.2%
2019-02-13 02:21:19.0 1
 
0.2%
2018-12-28 02:20:30.0 1
 
0.2%
2019-07-04 02:40:00.0 1
 
0.2%
Other values (33) 33
 
6.5%

Length

2023-12-11T05:22:33.012964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 463
45.5%
2018-08-31 462
45.4%
02:40:00.0 23
 
2.3%
2019-01-02 2
 
0.2%
02:20:58.0 2
 
0.2%
02:20:51.0 2
 
0.2%
02:35:30.0 2
 
0.2%
2018-10-18 2
 
0.2%
02:35:59.0 2
 
0.2%
2019-07-25 2
 
0.2%
Other values (52) 56
 
5.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing509
Missing (%)100.0%
Memory size4.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct427
Distinct (%)84.7%
Missing5
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean342429.27
Minimum330158.95
Maximum354746.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:22:33.214076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330158.95
5-th percentile334512.98
Q1339672.37
median342728.77
Q3345383.52
95-th percentile348880.15
Maximum354746.47
Range24587.517
Interquartile range (IQR)5711.1533

Descriptive statistics

Standard deviation4654.0083
Coefficient of variation (CV)0.013591152
Kurtosis0.6518036
Mean342429.27
Median Absolute Deviation (MAD)2933.924
Skewness-0.025024698
Sum1.7258435 × 108
Variance21659793
MonotonicityNot monotonic
2023-12-11T05:22:33.439060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
334996.730692 4
 
0.8%
344699.486202 3
 
0.6%
340137.682078 3
 
0.6%
341242.558022 3
 
0.6%
334482.5142 3
 
0.6%
345848.227071 3
 
0.6%
342160.590815 3
 
0.6%
348379.176602 3
 
0.6%
343140.711591 3
 
0.6%
335007.462709 2
 
0.4%
Other values (417) 474
93.1%
(Missing) 5
 
1.0%
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 2
0.4%
330925.25249 1
0.2%
331906.0 1
0.2%
332117.0 1
0.2%
ValueCountFrequency (%)
354746.47012 1
0.2%
354734.129813 1
0.2%
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%
354268.085245 1
0.2%
354249.498049 1
0.2%
354138.342062 1
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct427
Distinct (%)84.7%
Missing5
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean263495.77
Minimum244658
Maximum273547.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:22:33.655138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244658
5-th percentile257160.08
Q1261931.11
median263728.3
Q3265521
95-th percentile270945.06
Maximum273547.82
Range28889.816
Interquartile range (IQR)3589.8931

Descriptive statistics

Standard deviation4394.0019
Coefficient of variation (CV)0.016675797
Kurtosis5.0356788
Mean263495.77
Median Absolute Deviation (MAD)1796.3881
Skewness-1.2298925
Sum1.3280187 × 108
Variance19307253
MonotonicityNot monotonic
2023-12-11T05:22:33.882530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257160.077048 4
 
0.8%
264080.692751 3
 
0.6%
264361.585019 3
 
0.6%
266511.537887 3
 
0.6%
256720.047522 3
 
0.6%
267553.077157 3
 
0.6%
263126.17405 3
 
0.6%
266072.81774 3
 
0.6%
264540.730837 3
 
0.6%
262627.646632 2
 
0.4%
Other values (417) 474
93.1%
(Missing) 5
 
1.0%
ValueCountFrequency (%)
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 2
0.4%
256143.112347 1
0.2%
ValueCountFrequency (%)
273547.816142 1
0.2%
273056.994835 1
0.2%
273056.992189 1
0.2%
272975.982997 1
0.2%
272947.055086 1
0.2%
272750.682271 1
0.2%
272636.919043 1
0.2%
272619.996874 1
0.2%
272600.063881 1
0.2%
272549.551298 1
0.2%

기공용레스수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
482 
2
 
19
3
 
4
10
 
2
4
 
2

Length

Max length2
Median length1
Mean length1.0039293
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 482
94.7%
2 19
 
3.7%
3 4
 
0.8%
10 2
 
0.4%
4 2
 
0.4%

Length

2023-12-11T05:22:34.136134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:34.307706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 482
94.7%
2 19
 
3.7%
3 4
 
0.8%
10 2
 
0.4%
4 2
 
0.4%

원심주조기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
491 
2
 
12
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 (%)
1 491
96.5%
2 12
 
2.4%
3 6
 
1.2%

Length

2023-12-11T05:22:34.842307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:34.975005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 491
96.5%
2 12
 
2.4%
3 6
 
1.2%

기공용모터수
Real number (ℝ)

Distinct12
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2495088
Minimum2
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:22:35.107354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q34
95-th percentile7
Maximum22
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0026127
Coefficient of variation (CV)0.61628164
Kurtosis26.259377
Mean3.2495088
Median Absolute Deviation (MAD)1
Skewness4.022748
Sum1654
Variance4.0104574
MonotonicityNot monotonic
2023-12-11T05:22:35.316376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 223
43.8%
3 149
29.3%
4 63
 
12.4%
5 35
 
6.9%
6 11
 
2.2%
10 9
 
1.8%
7 8
 
1.6%
8 4
 
0.8%
9 4
 
0.8%
22 1
 
0.2%
Other values (2) 2
 
0.4%
ValueCountFrequency (%)
2 223
43.8%
3 149
29.3%
4 63
 
12.4%
5 35
 
6.9%
6 11
 
2.2%
7 8
 
1.6%
8 4
 
0.8%
9 4
 
0.8%
10 9
 
1.8%
12 1
 
0.2%
ValueCountFrequency (%)
22 1
 
0.2%
20 1
 
0.2%
12 1
 
0.2%
10 9
 
1.8%
9 4
 
0.8%
8 4
 
0.8%
7 8
 
1.6%
6 11
 
2.2%
5 35
6.9%
4 63
12.4%

아세틸렌수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
489 
0
 
9
2
 
6
<NA>
 
4
10
 
1

Length

Max length4
Median length1
Mean length1.0255403
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 489
96.1%
0 9
 
1.8%
2 6
 
1.2%
<NA> 4
 
0.8%
10 1
 
0.2%

Length

2023-12-11T05:22:35.548145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:35.715248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 489
96.1%
0 9
 
1.8%
2 6
 
1.2%
na 4
 
0.8%
10 1
 
0.2%

치과용프레스수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
490 
2
 
15
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 (%)
1 490
96.3%
2 15
 
2.9%
3 4
 
0.8%

Length

2023-12-11T05:22:35.892774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:36.043265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 490
96.3%
2 15
 
2.9%
3 4
 
0.8%

전기로수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
412 
2
77 
3
 
16
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 412
80.9%
2 77
 
15.1%
3 16
 
3.1%
4 4
 
0.8%

Length

2023-12-11T05:22:36.220896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:36.386206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 412
80.9%
2 77
 
15.1%
3 16
 
3.1%
4 4
 
0.8%

포셀린로수
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
377 
2
101 
3
 
26
4
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 377
74.1%
2 101
 
19.8%
3 26
 
5.1%
4 5
 
1.0%

Length

2023-12-11T05:22:36.561253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:36.708439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 377
74.1%
2 101
 
19.8%
3 26
 
5.1%
4 5
 
1.0%

초음파청소기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
475 
2
 
31
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 (%)
1 475
93.3%
2 31
 
6.1%
3 3
 
0.6%

Length

2023-12-11T05:22:36.881576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:37.046471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 475
93.3%
2 31
 
6.1%
3 3
 
0.6%

서베이어수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
453 
2
46 
3
 
5
4
 
4
13
 
1

Length

Max length2
Median length1
Mean length1.0019646
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 453
89.0%
2 46
 
9.0%
3 5
 
1.0%
4 4
 
0.8%
13 1
 
0.2%

Length

2023-12-11T05:22:37.216778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:37.372872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 453
89.0%
2 46
 
9.0%
3 5
 
1.0%
4 4
 
0.8%
13 1
 
0.2%

진동기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
468 
2
 
35
3
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 468
91.9%
2 35
 
6.9%
3 6
 
1.2%

Length

2023-12-11T05:22:37.537373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:37.672560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 468
91.9%
2 35
 
6.9%
3 6
 
1.2%

트리머수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
496 
2
 
12
3
 
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 (%)
1 496
97.4%
2 12
 
2.4%
3 1
 
0.2%

Length

2023-12-11T05:22:37.812473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:37.992795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 496
97.4%
2 12
 
2.4%
3 1
 
0.2%

기공용컴프레서수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.4%
Missing66
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean1.1038375
Minimum0
Maximum11
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:22:38.158002image/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 deviation0.58877793
Coefficient of variation (CV)0.53339187
Kurtosis185.19164
Mean1.1038375
Median Absolute Deviation (MAD)0
Skewness11.733711
Sum489
Variance0.34665945
MonotonicityNot monotonic
2023-12-11T05:22:38.341318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 402
79.0%
2 34
 
6.7%
0 4
 
0.8%
3 1
 
0.2%
11 1
 
0.2%
5 1
 
0.2%
(Missing) 66
 
13.0%
ValueCountFrequency (%)
0 4
 
0.8%
1 402
79.0%
2 34
 
6.7%
3 1
 
0.2%
5 1
 
0.2%
11 1
 
0.2%
ValueCountFrequency (%)
11 1
 
0.2%
5 1
 
0.2%
3 1
 
0.2%
2 34
 
6.7%
1 402
79.0%
0 4
 
0.8%

샌드기수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.4%
Missing66
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean1.3769752
Minimum0
Maximum5
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:22:38.489880image/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 deviation0.71513241
Coefficient of variation (CV)0.51935026
Kurtosis4.9089189
Mean1.3769752
Median Absolute Deviation (MAD)0
Skewness2.0235055
Sum610
Variance0.51141436
MonotonicityNot monotonic
2023-12-11T05:22:38.655753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 311
61.1%
2 97
 
19.1%
3 21
 
4.1%
4 8
 
1.6%
0 4
 
0.8%
5 2
 
0.4%
(Missing) 66
 
13.0%
ValueCountFrequency (%)
0 4
 
0.8%
1 311
61.1%
2 97
 
19.1%
3 21
 
4.1%
4 8
 
1.6%
5 2
 
0.4%
ValueCountFrequency (%)
5 2
 
0.4%
4 8
 
1.6%
3 21
 
4.1%
2 97
 
19.1%
1 311
61.1%
0 4
 
0.8%

진공매몰기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
411 
<NA>
66 
2
 
24
0
 
4
3
 
4

Length

Max length4
Median length1
Mean length1.388998
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 411
80.7%
<NA> 66
 
13.0%
2 24
 
4.7%
0 4
 
0.8%
3 4
 
0.8%

Length

2023-12-11T05:22:38.843121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:38.993580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 411
80.7%
na 66
 
13.0%
2 24
 
4.7%
0 4
 
0.8%
3 4
 
0.8%

핀덱스수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
421 
<NA>
66 
2
 
17
0
 
5

Length

Max length4
Median length1
Mean length1.388998
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 421
82.7%
<NA> 66
 
13.0%
2 17
 
3.3%
0 5
 
1.0%

Length

2023-12-11T05:22:39.168153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:22:39.337645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 421
82.7%
na 66
 
13.0%
2 17
 
3.3%
0 5
 
1.0%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
01치과기공소01_02_04_P3410000PHMB31987341002306230000119870306<NA>1영업/정상13영업중<NA><NA><NA><NA>053-257-3708<NA>700191대구광역시 중구 종로1가 6번지 5호대구광역시 중구 국채보상로 553 (종로1가)41918심인치과기공소20111206104518I2018-08-31 23:59:59.0<NA>343637.461944264568.304103112111111111111
12치과기공소01_02_04_P3410000PHMB31986341002306230000119860616<NA>1영업/정상13영업중<NA><NA><NA><NA>053-253-7678<NA>700030대구광역시 중구 전동 33번지대구광역시 중구 국채보상로 566 (전동)41935강백치과기공소20181205100245U2018-12-07 02:40:00.0<NA>343764.670978264542.252599112111111111111
23치과기공소01_02_04_P3410000PHMB31985341002306230000119851219<NA>1영업/정상13영업중<NA><NA><NA><NA>053-557-3677<NA><NA>대구광역시 중구 달성동 219번지 18호대구광역시 중구 달성로21길 17, 1층 (달성동)41923서진치과기공소20190314113006U2019-03-16 02:40:00.0<NA>342766.148619265013.465722114012212211120
34치과기공소01_02_04_P3410000PHMB31990341002306230000119900919<NA>1영업/정상13영업중<NA><NA><NA><NA>053-255-0650<NA>700370대구광역시 중구 수창동 44번지 29호대구광역시 중구 서성로 89 (수창동)41920대원치과기공소20111213211444I2018-08-31 23:59:59.0<NA>343292.316814264978.410587112111111111111
45치과기공소01_02_04_P3410000PHMB31975341002306230000119750210<NA>1영업/정상13영업중<NA><NA><NA><NA>053-254-4665<NA>700442대구광역시 중구 남산동 248번지 3호대구광역시 중구 재마루1길 19 (남산동)41965제일치과기공소20111229190125I2018-08-31 23:59:59.0<NA>343334.342595263852.288261112111111111111
56치과기공소01_02_04_P3410000PHMB32005341002306230000420050909<NA>1영업/정상13영업중<NA><NA><NA><NA>053-254-6021<NA>700010대구광역시 중구 포정동 2번지 2호대구광역시 중구 경상감영길 145 (포정동)41909리더스치과기공소20120102193104I2018-08-31 23:59:59.0<NA>344004.077549264750.469424112111111111111
67치과기공소01_02_04_P3410000PHMB32002341002306230000120020321<NA>1영업/정상13영업중<NA><NA><NA><NA>053-252-5950<NA>700200대구광역시 중구 상서동 38번지대구광역시 중구 국채보상로 540-2 (상서동)41934바른이치과기공소20111227194604I2018-08-31 23:59:59.0<NA>343514.74139264497.012818112111111111111
78치과기공소01_02_04_P3410000PHMB31995341002306230000119950506<NA>1영업/정상13영업중<NA><NA><NA><NA>426-7467<NA>700060대구광역시 중구 남일동 126번지 2호대구광역시 중구 중앙대로79길 6, 2층 (남일동)41935아치치과기공소20140725094745I2018-08-31 23:59:59.0<NA>343819.570856264403.395462112111111111111
89치과기공소01_02_04_P3410000PHMB31994341002306230000519941105<NA>1영업/정상13영업중<NA><NA><NA><NA>053-256-3458<NA>700821대구광역시 중구 동산동 124번지대구광역시 중구 국채보상로 496 (동산동)41931오팔치과기공소20120102193853I2018-08-31 23:59:59.0<NA>343054.485337264504.06709112111111111111
910치과기공소01_02_04_P3410000PHMB31994341002306230000419941026<NA>1영업/정상13영업중<NA><NA><NA><NA>053-426-4580<NA>301131대전광역시 중구 문화1동 6번지 11호대구광역시 중구 국채보상로123길 25 (문화동)41913세종치과기공소20120102192241I2018-08-31 23:59:59.0<NA>344192.766137264698.116306112111111111111
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
499500치과기공소01_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
500501치과기공소01_02_04_P3480000PHMB32016348001206230000120160309<NA>1영업/정상13영업중20160309<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 36번지 6호대구광역시 달성군 화원읍 화원로1길 4, 2층42955대구엠케이치과기공소20160314102727I2018-08-31 23:59:59.0<NA>335550.243838257187.498013123111211111221
501502치과기공소01_02_04_P3480000PHMB32015348001206230000120150430<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4408-2804<NA><NA><NA>대구광역시 달성군 다사읍 다사로71길 37-26, 201호42907지디에스치과기공소20150430130107I2018-08-31 23:59:59.0<NA>332117.0266722.0118114221211211
502503치과기공소01_02_04_P3480000PHMB32016348001206230000320160818<NA>1영업/정상13영업중20160818<NA><NA><NA>053-953-2879<NA><NA>대구광역시 달성군 다사읍 세천리 1564번지 7호대구광역시 달성군 다사읍 세천북로8길 6-342922새론치과기공소20160823152333I2018-08-31 23:59:59.0<NA>333482.723868265231.764051113111111111111
503504치과기공소01_02_04_P3480000PHMB32003348001206230000220031001<NA>1영업/정상13영업중<NA><NA><NA><NA>053-588-4194<NA>711874대구광역시 달성군 현풍읍 원교리 1731번지 53호 (2층)대구광역시 달성군 현풍읍 현풍로 843003주원치과기공소20181211084348U2018-12-13 02:40:00.0<NA>330158.953163244870.803521112111111111111
504505치과기공소01_02_04_P3480000PHMB30995348001206230000119950704<NA>1영업/정상13영업중<NA><NA><NA><NA>053-636-3151<NA>711835대구광역시 달성군 화원읍 천내리 415번지 6호대구광역시 달성군 화원읍 비슬로 257242962아름치과기공소20140811111507I2018-08-31 23:59:59.0<NA>335341.719567256937.893912112111111111111
505506치과기공소01_02_04_P3480000PHMB32002348001206230000120020626<NA>1영업/정상13영업중<NA><NA><NA><NA>053-632-5689<NA>711834대구광역시 달성군 화원읍 천내리 103번지 2호대구광역시 달성군 화원읍 화원로7길 9042948빛나치과기공소20111206113502I2018-08-31 23:59:59.0<NA>335047.169164257147.608929112111111111111
506507치과기공소01_02_04_P3480000PHMB32018348001206230000120180402<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 38번지 5호대구광역시 달성군 화원읍 비슬로 2597, 유풍빌딩 3층42955하나치과기공소20180402132740I2018-08-31 23:59:59.0<NA>335558.071257257112.996662112111111111211
507508치과기공소01_02_04_P3480000PHMB32007348001206230000120070927<NA>1영업/정상13영업중<NA><NA><NA><NA>053-563-1384<NA>711813대구광역시 달성군 다사읍 서재리 258번지 1호대구광역시 달성군 다사읍 서재로24길 242927효상치과기공소20111206115043I2018-08-31 23:59:59.0<NA>335224.430617264654.522729112111111111111
508509치과기공소01_02_04_P3480000PHMB31998348001206230000219980206<NA>3폐업3폐업20000403<NA><NA><NA>632-5689<NA>711834대구광역시 달성군 화원읍 천내리 101번지 5호대구광역시 달성군 화원읍 사문진로 413711834유임치과기공소20140320134511I2018-08-31 23:59:59.0<NA>334996.730692257160.077048112111111111111