Overview

Dataset statistics

Number of variables43
Number of observations527
Missing cells4011
Missing cells (%)17.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory193.6 KiB
Average record size in memory376.3 B

Variable types

Numeric12
Categorical19
Text5
Unsupported6
DateTime1

Dataset

Description6270000_대구광역시_01_02_04_P_치과기공소_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085947&dataSetDetailId=DDI_0000085998&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
데이터갱신구분 is highly imbalanced (56.6%)Imbalance
기공용레스수 is highly imbalanced (85.3%)Imbalance
원심주조기수 is highly imbalanced (85.1%)Imbalance
아세틸렌수 is highly imbalanced (86.1%)Imbalance
치과용프레스수 is highly imbalanced (84.2%)Imbalance
전기로수 is highly imbalanced (55.2%)Imbalance
초음파청소기수 is highly imbalanced (76.5%)Imbalance
서베이어수 is highly imbalanced (74.0%)Imbalance
진동기수 is highly imbalanced (71.7%)Imbalance
트리머수 is highly imbalanced (88.9%)Imbalance
진공매몰기수 is highly imbalanced (60.1%)Imbalance
핀덱스수 is highly imbalanced (57.9%)Imbalance
인허가취소일자 has 527 (100.0%) missing valuesMissing
폐업일자 has 308 (58.4%) missing valuesMissing
휴업시작일자 has 527 (100.0%) missing valuesMissing
휴업종료일자 has 527 (100.0%) missing valuesMissing
재개업일자 has 527 (100.0%) missing valuesMissing
소재지전화 has 156 (29.6%) missing valuesMissing
소재지면적 has 527 (100.0%) missing valuesMissing
소재지우편번호 has 163 (30.9%) missing valuesMissing
소재지전체주소 has 22 (4.2%) missing valuesMissing
도로명우편번호 has 53 (10.1%) missing valuesMissing
업태구분명 has 527 (100.0%) missing valuesMissing
기공용컴프레서수 has 66 (12.5%) missing valuesMissing
샌드기수 has 66 (12.5%) 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 started2024-04-18 04:50:27.813480
Analysis finished2024-04-18 04:50:28.531596
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct527
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264
Minimum1
Maximum527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-18T13:50:28.600272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.3
Q1132.5
median264
Q3395.5
95-th percentile500.7
Maximum527
Range526
Interquartile range (IQR)263

Descriptive statistics

Standard deviation152.27607
Coefficient of variation (CV)0.57680328
Kurtosis-1.2
Mean264
Median Absolute Deviation (MAD)132
Skewness0
Sum139128
Variance23188
MonotonicityStrictly increasing
2024-04-18T13:50:28.735747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
348 1
 
0.2%
362 1
 
0.2%
361 1
 
0.2%
360 1
 
0.2%
359 1
 
0.2%
358 1
 
0.2%
357 1
 
0.2%
356 1
 
0.2%
355 1
 
0.2%
Other values (517) 517
98.1%
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 (%)
527 1
0.2%
526 1
0.2%
525 1
0.2%
524 1
0.2%
523 1
0.2%
522 1
0.2%
521 1
0.2%
520 1
0.2%
519 1
0.2%
518 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
치과기공소
527 

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 527
100.0%

Length

2024-04-18T13:50:28.863346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:28.976310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치과기공소 527
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
01_02_04_P
527 

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 527
100.0%

Length

2024-04-18T13:50:29.070058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:29.173905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_04_p 527
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445768.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-18T13:50:29.261745image/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 deviation22684.133
Coefficient of variation (CV)0.0065831854
Kurtosis-1.2266787
Mean3445768.5
Median Absolute Deviation (MAD)20000
Skewness-0.24705914
Sum1.81592 × 109
Variance5.1456988 × 108
MonotonicityIncreasing
2024-04-18T13:50:29.375735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 105
19.9%
3450000 100
19.0%
3410000 78
14.8%
3460000 64
12.1%
3420000 57
10.8%
3430000 43
8.2%
3440000 42
 
8.0%
3480000 38
 
7.2%
ValueCountFrequency (%)
3410000 78
14.8%
3420000 57
10.8%
3430000 43
8.2%
3440000 42
 
8.0%
3450000 100
19.0%
3460000 64
12.1%
3470000 105
19.9%
3480000 38
 
7.2%
ValueCountFrequency (%)
3480000 38
 
7.2%
3470000 105
19.9%
3460000 64
12.1%
3450000 100
19.0%
3440000 42
 
8.0%
3430000 43
8.2%
3420000 57
10.8%
3410000 78
14.8%

관리번호
Text

UNIQUE 

Distinct527
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-04-18T13:50:29.571190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters13175
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

Unique527 ?
Unique (%)100.0%

Sample

1st rowPHMB319873410023062300001
2nd rowPHMB319863410023062300001
3rd rowPHMB319853410023062300001
4th rowPHMB319903410023062300001
5th rowPHMB319753410023062300001
ValueCountFrequency (%)
phmb319873410023062300001 1
 
0.2%
phmb320063460023062300001 1
 
0.2%
phmb320023460023062300002 1
 
0.2%
phmb320133460023062300004 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%
Other values (517) 517
98.1%
2024-04-18T13:50:29.927154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4361
33.1%
3 1955
14.8%
2 1894
14.4%
1 742
 
5.6%
4 729
 
5.5%
6 655
 
5.0%
P 527
 
4.0%
H 527
 
4.0%
M 527
 
4.0%
B 527
 
4.0%
Other values (4) 731
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11067
84.0%
Uppercase Letter 2108
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4361
39.4%
3 1955
17.7%
2 1894
17.1%
1 742
 
6.7%
4 729
 
6.6%
6 655
 
5.9%
9 273
 
2.5%
5 193
 
1.7%
7 164
 
1.5%
8 101
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 527
25.0%
H 527
25.0%
M 527
25.0%
B 527
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11067
84.0%
Latin 2108
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4361
39.4%
3 1955
17.7%
2 1894
17.1%
1 742
 
6.7%
4 729
 
6.6%
6 655
 
5.9%
9 273
 
2.5%
5 193
 
1.7%
7 164
 
1.5%
8 101
 
0.9%
Latin
ValueCountFrequency (%)
P 527
25.0%
H 527
25.0%
M 527
25.0%
B 527
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13175
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4361
33.1%
3 1955
14.8%
2 1894
14.4%
1 742
 
5.6%
4 729
 
5.5%
6 655
 
5.0%
P 527
 
4.0%
H 527
 
4.0%
M 527
 
4.0%
B 527
 
4.0%
Other values (4) 731
 
5.5%

인허가일자
Real number (ℝ)

Distinct502
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20069456
Minimum19740228
Maximum20200720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-18T13:50:30.111618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19740228
5-th percentile19910529
Q120010618
median20080515
Q320140422
95-th percentile20181181
Maximum20200720
Range460492
Interquartile range (IQR)129804

Descriptive statistics

Standard deviation86503.791
Coefficient of variation (CV)0.0043102209
Kurtosis0.25641872
Mean20069456
Median Absolute Deviation (MAD)60387
Skewness-0.74716265
Sum1.0576604 × 1010
Variance7.4829059 × 109
MonotonicityNot monotonic
2024-04-18T13:50:30.260691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19980206 2
 
0.4%
19900512 2
 
0.4%
20100312 2
 
0.4%
20030304 2
 
0.4%
20100906 2
 
0.4%
19990520 2
 
0.4%
20070820 2
 
0.4%
20030603 2
 
0.4%
20130709 2
 
0.4%
20130902 2
 
0.4%
Other values (492) 507
96.2%
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 (%)
20200720 2
0.4%
20200707 1
0.2%
20200703 1
0.2%
20200602 1
0.2%
20200513 1
0.2%
20200327 1
0.2%
20200317 1
0.2%
20200310 2
0.4%
20200220 1
0.2%
20200213 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing527
Missing (%)100.0%
Memory size4.8 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
369 
3
157 
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 (%)
1 369
70.0%
3 157
29.8%
4 1
 
0.2%

Length

2024-04-18T13:50:30.400515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:30.494814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 369
70.0%
3 157
29.8%
4 1
 
0.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
영업/정상
369 
폐업
157 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.1233397
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 369
70.0%
폐업 157
29.8%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2024-04-18T13:50:30.595711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:30.696586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 369
70.0%
폐업 157
29.8%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
13
369 
3
157 
24
 
1

Length

Max length2
Median length2
Mean length1.7020873
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 369
70.0%
3 157
29.8%
24 1
 
0.2%

Length

2024-04-18T13:50:30.801318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:30.904014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 369
70.0%
3 157
29.8%
24 1
 
0.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
영업중
369 
폐업
157 
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.7039848
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 369
70.0%
폐업 157
29.8%
직권폐업 1
 
0.2%

Length

2024-04-18T13:50:31.036892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:31.143131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 369
70.0%
폐업 157
29.8%
직권폐업 1
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct206
Distinct (%)94.1%
Missing308
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean20135585
Minimum19950225
Maximum20200720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-18T13:50:31.280247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950225
5-th percentile20069686
Q120120125
median20140930
Q320160711
95-th percentile20190308
Maximum20200720
Range250495
Interquartile range (IQR)40586

Descriptive statistics

Standard deviation42791.376
Coefficient of variation (CV)0.0021251618
Kurtosis4.5089809
Mean20135585
Median Absolute Deviation (MAD)20100
Skewness-1.7093643
Sum4.4096931 × 109
Variance1.8311019 × 109
MonotonicityNot monotonic
2024-04-18T13:50:31.438697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150921 2
 
0.4%
20140701 2
 
0.4%
20140102 2
 
0.4%
20160701 2
 
0.4%
20130902 2
 
0.4%
20170502 2
 
0.4%
20141104 2
 
0.4%
20120125 2
 
0.4%
20140722 2
 
0.4%
20200720 2
 
0.4%
Other values (196) 199
37.8%
(Missing) 308
58.4%
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 (%)
20200720 2
0.4%
20200601 1
0.2%
20200513 1
0.2%
20200402 1
0.2%
20200310 1
0.2%
20200214 1
0.2%
20200211 1
0.2%
20191231 1
0.2%
20190515 1
0.2%
20190321 1
0.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing527
Missing (%)100.0%
Memory size4.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing527
Missing (%)100.0%
Memory size4.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing527
Missing (%)100.0%
Memory size4.8 KiB

소재지전화
Text

MISSING 

Distinct347
Distinct (%)93.5%
Missing156
Missing (%)29.6%
Memory size4.2 KiB
2024-04-18T13:50:31.668530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.940701
Min length8

Characters and Unicode

Total characters4059
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 (%)87.9%

Sample

1st row053-257-3708
2nd row053-253-7678
3rd row053-557-3677
4th row053-255-0650
5th row053-254-4665
ValueCountFrequency (%)
632-5689 3
 
0.8%
053-248-9010 3
 
0.8%
053-423-6566 3
 
0.8%
053-791-2879 2
 
0.5%
426-2804 2
 
0.5%
053-766-0428 2
 
0.5%
559-8458 2
 
0.5%
053-426-3887 2
 
0.5%
655-2842 2
 
0.5%
053-354-2804 2
 
0.5%
Other values (337) 348
93.8%
2024-04-18T13:50:32.021960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 624
15.4%
- 599
14.8%
0 493
12.1%
3 484
11.9%
2 462
11.4%
8 298
7.3%
4 287
7.1%
6 277
6.8%
7 211
 
5.2%
1 168
 
4.1%
Other values (2) 156
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3458
85.2%
Dash Punctuation 599
 
14.8%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 624
18.0%
0 493
14.3%
3 484
14.0%
2 462
13.4%
8 298
8.6%
4 287
8.3%
6 277
8.0%
7 211
 
6.1%
1 168
 
4.9%
9 154
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 599
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4059
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 624
15.4%
- 599
14.8%
0 493
12.1%
3 484
11.9%
2 462
11.4%
8 298
7.3%
4 287
7.1%
6 277
6.8%
7 211
 
5.2%
1 168
 
4.1%
Other values (2) 156
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4059
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 624
15.4%
- 599
14.8%
0 493
12.1%
3 484
11.9%
2 462
11.4%
8 298
7.3%
4 287
7.1%
6 277
6.8%
7 211
 
5.2%
1 168
 
4.1%
Other values (2) 156
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing527
Missing (%)100.0%
Memory size4.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct227
Distinct (%)62.4%
Missing163
Missing (%)30.9%
Infinite0
Infinite (%)0.0%
Mean699105.96
Minimum42085
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-18T13:50:32.203376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42085
5-th percentile700252
Q1701806.5
median703054
Q3704941.25
95-th percentile711834
Maximum711874
Range669789
Interquartile range (IQR)3134.75

Descriptive statistics

Standard deviation53323.878
Coefficient of variation (CV)0.076274385
Kurtosis134.51096
Mean699105.96
Median Absolute Deviation (MAD)1878
Skewness-11.497505
Sum2.5447457 × 108
Variance2.8434359 × 109
MonotonicityNot monotonic
2024-04-18T13:50:32.349397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
711834 7
 
1.3%
704932 7
 
1.3%
701020 6
 
1.1%
702072 5
 
0.9%
701010 5
 
0.9%
700252 5
 
0.9%
701030 5
 
0.9%
711872 4
 
0.8%
705823 4
 
0.8%
706170 4
 
0.8%
Other values (217) 312
59.2%
(Missing) 163
30.9%
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
1.3%
711833 1
 
0.2%
711815 1
 
0.2%

소재지전체주소
Text

MISSING 

Distinct470
Distinct (%)93.1%
Missing22
Missing (%)4.2%
Memory size4.2 KiB
2024-04-18T13:50:32.683916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length23.938614
Min length13

Characters and Unicode

Total characters12089
Distinct characters171
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

Unique442 ?
Unique (%)87.5%

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 504
 
18.6%
북구 99
 
3.6%
달서구 93
 
3.4%
1호 80
 
2.9%
중구 77
 
2.8%
수성구 60
 
2.2%
동구 57
 
2.1%
3층 48
 
1.8%
2층 46
 
1.7%
서구 43
 
1.6%
Other values (678) 1609
59.2%
2024-04-18T13:50:33.122695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2220
18.4%
구 983
 
8.1%
1 573
 
4.7%
대 566
 
4.7%
동 541
 
4.5%
시 508
 
4.2%
광 505
 
4.2%
역 505
 
4.2%
지 502
 
4.2%
번 494
 
4.1%
Other values (161) 4692
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7187
59.5%
Decimal Number 2577
 
21.3%
Space Separator 2220
 
18.4%
Close Punctuation 42
 
0.3%
Open Punctuation 42
 
0.3%
Dash Punctuation 9
 
0.1%
Other Punctuation 9
 
0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 983
13.7%
대 566
 
7.9%
동 541
 
7.5%
시 508
 
7.1%
광 505
 
7.0%
역 505
 
7.0%
지 502
 
7.0%
번 494
 
6.9%
호 479
 
6.7%
서 148
 
2.1%
Other values (144) 1956
27.2%
Decimal Number
ValueCountFrequency (%)
1 573
22.2%
2 428
16.6%
3 317
12.3%
5 221
 
8.6%
4 207
 
8.0%
0 204
 
7.9%
6 194
 
7.5%
8 152
 
5.9%
9 143
 
5.5%
7 138
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 6
66.7%
. 3
33.3%
Space Separator
ValueCountFrequency (%)
2220
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7187
59.5%
Common 4899
40.5%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 983
13.7%
대 566
 
7.9%
동 541
 
7.5%
시 508
 
7.1%
광 505
 
7.0%
역 505
 
7.0%
지 502
 
7.0%
번 494
 
6.9%
호 479
 
6.7%
서 148
 
2.1%
Other values (144) 1956
27.2%
Common
ValueCountFrequency (%)
2220
45.3%
1 573
 
11.7%
2 428
 
8.7%
3 317
 
6.5%
5 221
 
4.5%
4 207
 
4.2%
0 204
 
4.2%
6 194
 
4.0%
8 152
 
3.1%
9 143
 
2.9%
Other values (6) 240
 
4.9%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7187
59.5%
ASCII 4902
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2220
45.3%
1 573
 
11.7%
2 428
 
8.7%
3 317
 
6.5%
5 221
 
4.5%
4 207
 
4.2%
0 204
 
4.2%
6 194
 
4.0%
8 152
 
3.1%
9 143
 
2.9%
Other values (7) 243
 
5.0%
Hangul
ValueCountFrequency (%)
구 983
13.7%
대 566
 
7.9%
동 541
 
7.5%
시 508
 
7.1%
광 505
 
7.0%
역 505
 
7.0%
지 502
 
7.0%
번 494
 
6.9%
호 479
 
6.7%
서 148
 
2.1%
Other values (144) 1956
27.2%

도로명전체주소
Text

Distinct481
Distinct (%)92.1%
Missing5
Missing (%)0.9%
Memory size4.2 KiB
2024-04-18T13:50:33.482876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length26.5
Min length19

Characters and Unicode

Total characters13833
Distinct characters208
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

Unique443 ?
Unique (%)84.9%

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 522
 
17.8%
달서구 105
 
3.6%
북구 98
 
3.3%
2층 82
 
2.8%
중구 77
 
2.6%
3층 71
 
2.4%
수성구 64
 
2.2%
동구 57
 
1.9%
서구 42
 
1.4%
남구 41
 
1.4%
Other values (742) 1767
60.4%
2024-04-18T13:50:33.999545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2404
17.4%
구 1072
 
7.7%
대 690
 
5.0%
동 616
 
4.5%
시 528
 
3.8%
광 523
 
3.8%
역 523
 
3.8%
로 519
 
3.8%
) 492
 
3.6%
( 492
 
3.6%
Other values (198) 5974
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8008
57.9%
Space Separator 2404
 
17.4%
Decimal Number 2079
 
15.0%
Close Punctuation 492
 
3.6%
Open Punctuation 492
 
3.6%
Other Punctuation 274
 
2.0%
Dash Punctuation 81
 
0.6%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1072
 
13.4%
대 690
 
8.6%
동 616
 
7.7%
시 528
 
6.6%
광 523
 
6.5%
역 523
 
6.5%
로 519
 
6.5%
층 235
 
2.9%
성 201
 
2.5%
서 194
 
2.4%
Other values (182) 2907
36.3%
Decimal Number
ValueCountFrequency (%)
1 394
19.0%
2 385
18.5%
3 301
14.5%
4 200
9.6%
5 178
8.6%
0 155
 
7.5%
6 140
 
6.7%
7 123
 
5.9%
8 115
 
5.5%
9 88
 
4.2%
Space Separator
ValueCountFrequency (%)
2404
100.0%
Close Punctuation
ValueCountFrequency (%)
) 492
100.0%
Open Punctuation
ValueCountFrequency (%)
( 492
100.0%
Other Punctuation
ValueCountFrequency (%)
, 274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8008
57.9%
Common 5822
42.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1072
 
13.4%
대 690
 
8.6%
동 616
 
7.7%
시 528
 
6.6%
광 523
 
6.5%
역 523
 
6.5%
로 519
 
6.5%
층 235
 
2.9%
성 201
 
2.5%
서 194
 
2.4%
Other values (182) 2907
36.3%
Common
ValueCountFrequency (%)
2404
41.3%
) 492
 
8.5%
( 492
 
8.5%
1 394
 
6.8%
2 385
 
6.6%
3 301
 
5.2%
, 274
 
4.7%
4 200
 
3.4%
5 178
 
3.1%
0 155
 
2.7%
Other values (5) 547
 
9.4%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8008
57.9%
ASCII 5825
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2404
41.3%
) 492
 
8.4%
( 492
 
8.4%
1 394
 
6.8%
2 385
 
6.6%
3 301
 
5.2%
, 274
 
4.7%
4 200
 
3.4%
5 178
 
3.1%
0 155
 
2.7%
Other values (6) 550
 
9.4%
Hangul
ValueCountFrequency (%)
구 1072
 
13.4%
대 690
 
8.6%
동 616
 
7.7%
시 528
 
6.6%
광 523
 
6.5%
역 523
 
6.5%
로 519
 
6.5%
층 235
 
2.9%
성 201
 
2.5%
서 194
 
2.4%
Other values (182) 2907
36.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct332
Distinct (%)70.0%
Missing53
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean141402.6
Minimum41034
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-18T13:50:34.135822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41034
5-th percentile41199.3
Q141577.25
median42129.5
Q342755
95-th percentile705830
Maximum711874
Range670840
Interquartile range (IQR)1177.75

Descriptive statistics

Standard deviation237002.6
Coefficient of variation (CV)1.6760838
Kurtosis1.8855802
Mean141402.6
Median Absolute Deviation (MAD)578
Skewness1.9690872
Sum67024831
Variance5.6170233 × 1010
MonotonicityNot monotonic
2024-04-18T13:50:34.308122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41921 6
 
1.1%
42907 5
 
0.9%
41535 5
 
0.9%
41423 4
 
0.8%
41453 4
 
0.8%
42644 4
 
0.8%
41940 4
 
0.8%
41834 4
 
0.8%
42696 4
 
0.8%
41942 4
 
0.8%
Other values (322) 430
81.6%
(Missing) 53
 
10.1%
ValueCountFrequency (%)
41034 1
 
0.2%
41059 3
0.6%
41067 2
0.4%
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

Distinct450
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-04-18T13:50:34.519440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length7
Mean length7.772296
Min length2

Characters and Unicode

Total characters4096
Distinct characters313
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

Unique386 ?
Unique (%)73.2%

Sample

1st row심인치과기공소
2nd row강백치과기공소
3rd row서진치과기공소
4th row대원치과기공소
5th row제일치과기공소
ValueCountFrequency (%)
치과기공소 9
 
1.6%
늘푸른치과기공소 4
 
0.7%
lab 4
 
0.7%
가온치과기공소 4
 
0.7%
dental 4
 
0.7%
다인치과기공소 3
 
0.5%
다미안치과기공소 3
 
0.5%
경운치과기공소 3
 
0.5%
에이스치과기공소 3
 
0.5%
다빈치치과기공소 3
 
0.5%
Other values (452) 513
92.8%
2024-04-18T13:50:34.860794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 511
 
12.5%
기 507
 
12.4%
소 507
 
12.4%
치 504
 
12.3%
과 495
 
12.1%
이 67
 
1.6%
스 49
 
1.2%
아 49
 
1.2%
디 28
 
0.7%
에 28
 
0.7%
Other values (303) 1351
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3867
94.4%
Uppercase Letter 82
 
2.0%
Lowercase Letter 61
 
1.5%
Space Separator 26
 
0.6%
Open Punctuation 20
 
0.5%
Close Punctuation 20
 
0.5%
Other Punctuation 10
 
0.2%
Decimal Number 8
 
0.2%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 511
13.2%
기 507
13.1%
소 507
13.1%
치 504
13.0%
과 495
12.8%
이 67
 
1.7%
스 49
 
1.3%
아 49
 
1.3%
디 28
 
0.7%
에 28
 
0.7%
Other values (260) 1122
29.0%
Uppercase Letter
ValueCountFrequency (%)
D 14
17.1%
L 10
12.2%
N 8
9.8%
M 7
8.5%
S 6
 
7.3%
C 6
 
7.3%
A 5
 
6.1%
J 4
 
4.9%
T 3
 
3.7%
W 3
 
3.7%
Other values (10) 16
19.5%
Lowercase Letter
ValueCountFrequency (%)
e 16
26.2%
a 12
19.7%
l 10
16.4%
t 5
 
8.2%
b 5
 
8.2%
n 5
 
8.2%
u 2
 
3.3%
c 2
 
3.3%
s 1
 
1.6%
p 1
 
1.6%
Other values (2) 2
 
3.3%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
1 3
37.5%
0 1
 
12.5%
5 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 7
70.0%
& 3
30.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3867
94.4%
Latin 143
 
3.5%
Common 86
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 511
13.2%
기 507
13.1%
소 507
13.1%
치 504
13.0%
과 495
12.8%
이 67
 
1.7%
스 49
 
1.3%
아 49
 
1.3%
디 28
 
0.7%
에 28
 
0.7%
Other values (260) 1122
29.0%
Latin
ValueCountFrequency (%)
e 16
 
11.2%
D 14
 
9.8%
a 12
 
8.4%
l 10
 
7.0%
L 10
 
7.0%
N 8
 
5.6%
M 7
 
4.9%
S 6
 
4.2%
C 6
 
4.2%
A 5
 
3.5%
Other values (22) 49
34.3%
Common
ValueCountFrequency (%)
26
30.2%
( 20
23.3%
) 20
23.3%
. 7
 
8.1%
& 3
 
3.5%
2 3
 
3.5%
1 3
 
3.5%
- 1
 
1.2%
0 1
 
1.2%
5 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3867
94.4%
ASCII 229
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 511
13.2%
기 507
13.1%
소 507
13.1%
치 504
13.0%
과 495
12.8%
이 67
 
1.7%
스 49
 
1.3%
아 49
 
1.3%
디 28
 
0.7%
에 28
 
0.7%
Other values (260) 1122
29.0%
ASCII
ValueCountFrequency (%)
26
 
11.4%
( 20
 
8.7%
) 20
 
8.7%
e 16
 
7.0%
D 14
 
6.1%
a 12
 
5.2%
l 10
 
4.4%
L 10
 
4.4%
N 8
 
3.5%
. 7
 
3.1%
Other values (33) 86
37.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct527
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0145619 × 1013
Minimum2.0090202 × 1013
Maximum2.0200831 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-18T13:50:35.009189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0090202 × 1013
5-th percentile2.0110674 × 1013
Q12.0111226 × 1013
median2.014093 × 1013
Q32.0170818 × 1013
95-th percentile2.020018 × 1013
Maximum2.0200831 × 1013
Range1.1062902 × 1011
Interquartile range (IQR)5.9591481 × 1010

Descriptive statistics

Standard deviation3.0355754 × 1010
Coefficient of variation (CV)0.0015068166
Kurtosis-1.1686832
Mean2.0145619 × 1013
Median Absolute Deviation (MAD)2.9707029 × 1010
Skewness0.21291962
Sum1.0616741 × 1016
Variance9.2147177 × 1020
MonotonicityNot monotonic
2024-04-18T13:50:35.156642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111206104518 1
 
0.2%
20170313174737 1
 
0.2%
20180207100105 1
 
0.2%
20180530175340 1
 
0.2%
20150925172205 1
 
0.2%
20141219174525 1
 
0.2%
20170330091054 1
 
0.2%
20170719165105 1
 
0.2%
20170727175935 1
 
0.2%
20170922095249 1
 
0.2%
Other values (517) 517
98.1%
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 (%)
20200831131336 1
0.2%
20200805180231 1
0.2%
20200805134027 1
0.2%
20200721153201 1
0.2%
20200720145427 1
0.2%
20200716101136 1
0.2%
20200715151636 1
0.2%
20200708091351 1
0.2%
20200703165512 1
0.2%
20200701160242 1
0.2%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
I
480 
U
 
47

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
91.1%
U 47
 
8.9%

Length

2024-04-18T13:50:35.281729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:35.370183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 480
91.1%
u 47
 
8.9%

데이터갱신일자
Date

Distinct83
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2018-08-31 23:59:59
Maximum2020-09-02 02:40:00
2024-04-18T13:50:35.469800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T13:50:35.604219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing527
Missing (%)100.0%
Memory size4.8 KiB

좌표정보(X)
Real number (ℝ)

Distinct436
Distinct (%)83.5%
Missing5
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean342450.55
Minimum330158.95
Maximum354746.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-18T13:50:35.737230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330158.95
5-th percentile334492.67
Q1339673.06
median342753.55
Q3345441.11
95-th percentile349083.82
Maximum354746.47
Range24587.517
Interquartile range (IQR)5768.05

Descriptive statistics

Standard deviation4716.2654
Coefficient of variation (CV)0.013772106
Kurtosis0.62665739
Mean342450.55
Median Absolute Deviation (MAD)2910.6462
Skewness-0.025994916
Sum1.7875918 × 108
Variance22243159
MonotonicityNot monotonic
2024-04-18T13:50:35.943525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
334996.730692 4
 
0.8%
340137.682078 4
 
0.8%
332322.395147 3
 
0.6%
345848.227071 3
 
0.6%
348379.176602 3
 
0.6%
334482.5142 3
 
0.6%
342160.590815 3
 
0.6%
341242.558022 3
 
0.6%
343140.711591 3
 
0.6%
344699.486202 3
 
0.6%
Other values (426) 490
93.0%
(Missing) 5
 
0.9%
ValueCountFrequency (%)
330158.953163 1
0.2%
330218.0 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%
ValueCountFrequency (%)
354746.47012 2
0.4%
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)

Distinct436
Distinct (%)83.5%
Missing5
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean263479.49
Minimum244658
Maximum273547.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-18T13:50:36.142387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244658
5-th percentile257160.08
Q1261816.73
median263674.33
Q3265534.09
95-th percentile270948.93
Maximum273547.82
Range28889.816
Interquartile range (IQR)3717.3666

Descriptive statistics

Standard deviation4385.2054
Coefficient of variation (CV)0.016643442
Kurtosis4.8904672
Mean263479.49
Median Absolute Deviation (MAD)1862.2463
Skewness-1.1848942
Sum1.3753629 × 108
Variance19230027
MonotonicityNot monotonic
2024-04-18T13:50:36.285314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257160.077048 4
 
0.8%
264361.585019 4
 
0.8%
266631.541728 3
 
0.6%
267553.077157 3
 
0.6%
266072.81774 3
 
0.6%
256720.047522 3
 
0.6%
263126.17405 3
 
0.6%
266511.537887 3
 
0.6%
264540.730837 3
 
0.6%
264080.692751 3
 
0.6%
Other values (426) 490
93.0%
(Missing) 5
 
0.9%
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%
254354.0 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 (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
502 
2
 
17
3
 
4
10
 
2
4
 
2

Length

Max length2
Median length1
Mean length1.0037951
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 502
95.3%
2 17
 
3.2%
3 4
 
0.8%
10 2
 
0.4%
4 2
 
0.4%

Length

2024-04-18T13:50:36.457253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:36.582536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 502
95.3%
2 17
 
3.2%
3 4
 
0.8%
10 2
 
0.4%
4 2
 
0.4%

원심주조기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
510 
2
 
11
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 (%)
1 510
96.8%
2 11
 
2.1%
3 6
 
1.1%

Length

2024-04-18T13:50:36.710975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:36.806471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 510
96.8%
2 11
 
2.1%
3 6
 
1.1%

기공용모터수
Real number (ℝ)

Distinct13
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2258065
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-18T13:50:36.902398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile6.7
Maximum22
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9742299
Coefficient of variation (CV)0.61201127
Kurtosis26.880403
Mean3.2258065
Median Absolute Deviation (MAD)1
Skewness4.0242734
Sum1700
Variance3.8975837
MonotonicityNot monotonic
2024-04-18T13:50:37.010980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 230
43.6%
3 155
29.4%
4 61
 
11.6%
5 36
 
6.8%
6 15
 
2.8%
10 8
 
1.5%
7 8
 
1.5%
8 4
 
0.8%
9 4
 
0.8%
1 3
 
0.6%
Other values (3) 3
 
0.6%
ValueCountFrequency (%)
1 3
 
0.6%
2 230
43.6%
3 155
29.4%
4 61
 
11.6%
5 36
 
6.8%
6 15
 
2.8%
7 8
 
1.5%
8 4
 
0.8%
9 4
 
0.8%
10 8
 
1.5%
ValueCountFrequency (%)
22 1
 
0.2%
20 1
 
0.2%
12 1
 
0.2%
10 8
 
1.5%
9 4
 
0.8%
8 4
 
0.8%
7 8
 
1.5%
6 15
 
2.8%
5 36
6.8%
4 61
11.6%

아세틸렌수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
505 
0
 
10
2
 
6
<NA>
 
5
10
 
1

Length

Max length4
Median length1
Mean length1.0303605
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 505
95.8%
0 10
 
1.9%
2 6
 
1.1%
<NA> 5
 
0.9%
10 1
 
0.2%

Length

2024-04-18T13:50:37.147628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:37.253382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 505
95.8%
0 10
 
1.9%
2 6
 
1.1%
na 5
 
0.9%
10 1
 
0.2%

치과용프레스수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
508 
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 (%)
1 508
96.4%
2 15
 
2.8%
3 4
 
0.8%

Length

2024-04-18T13:50:37.356942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:37.444592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 508
96.4%
2 15
 
2.8%
3 4
 
0.8%

전기로수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
423 
2
81 
3
 
19
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 (%)
1 423
80.3%
2 81
 
15.4%
3 19
 
3.6%
4 4
 
0.8%

Length

2024-04-18T13:50:37.538748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:37.678407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 423
80.3%
2 81
 
15.4%
3 19
 
3.6%
4 4
 
0.8%

포셀린로수
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
389 
2
106 
3
 
26
4
 
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 (%)
1 389
73.8%
2 106
 
20.1%
3 26
 
4.9%
4 6
 
1.1%

Length

2024-04-18T13:50:37.775559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:37.869238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 389
73.8%
2 106
 
20.1%
3 26
 
4.9%
4 6
 
1.1%

초음파청소기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
493 
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 (%)
1 493
93.5%
2 31
 
5.9%
3 3
 
0.6%

Length

2024-04-18T13:50:37.972234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:38.067599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 493
93.5%
2 31
 
5.9%
3 3
 
0.6%

서베이어수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
469 
2
47 
3
 
6
4
 
4
13
 
1

Length

Max length2
Median length1
Mean length1.0018975
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 469
89.0%
2 47
 
8.9%
3 6
 
1.1%
4 4
 
0.8%
13 1
 
0.2%

Length

2024-04-18T13:50:38.171861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:38.276233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 469
89.0%
2 47
 
8.9%
3 6
 
1.1%
4 4
 
0.8%
13 1
 
0.2%

진동기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
485 
2
 
36
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 (%)
1 485
92.0%
2 36
 
6.8%
3 6
 
1.1%

Length

2024-04-18T13:50:38.411202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:38.519093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 485
92.0%
2 36
 
6.8%
3 6
 
1.1%

트리머수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
514 
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 (%)
1 514
97.5%
2 12
 
2.3%
3 1
 
0.2%

Length

2024-04-18T13:50:38.610950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:38.711900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 514
97.5%
2 12
 
2.3%
3 1
 
0.2%

기공용컴프레서수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.3%
Missing66
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean1.1084599
Minimum0
Maximum11
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-18T13:50:38.801575image/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 deviation0.58713936
Coefficient of variation (CV)0.52968932
Kurtosis179.65776
Mean1.1084599
Median Absolute Deviation (MAD)0
Skewness11.432377
Sum511
Variance0.34473262
MonotonicityNot monotonic
2024-04-18T13:50:38.896564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 417
79.1%
2 36
 
6.8%
0 4
 
0.8%
3 2
 
0.4%
11 1
 
0.2%
5 1
 
0.2%
(Missing) 66
 
12.5%
ValueCountFrequency (%)
0 4
 
0.8%
1 417
79.1%
2 36
 
6.8%
3 2
 
0.4%
5 1
 
0.2%
11 1
 
0.2%
ValueCountFrequency (%)
11 1
 
0.2%
5 1
 
0.2%
3 2
 
0.4%
2 36
 
6.8%
1 417
79.1%
0 4
 
0.8%

샌드기수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.3%
Missing66
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean1.3774403
Minimum0
Maximum5
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-18T13:50:38.991498image/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 deviation0.71067234
Coefficient of variation (CV)0.51593693
Kurtosis4.8515729
Mean1.3774403
Median Absolute Deviation (MAD)0
Skewness2.0082912
Sum635
Variance0.50505517
MonotonicityNot monotonic
2024-04-18T13:50:39.090920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 323
61.3%
2 102
 
19.4%
3 22
 
4.2%
4 8
 
1.5%
0 4
 
0.8%
5 2
 
0.4%
(Missing) 66
 
12.5%
ValueCountFrequency (%)
0 4
 
0.8%
1 323
61.3%
2 102
 
19.4%
3 22
 
4.2%
4 8
 
1.5%
5 2
 
0.4%
ValueCountFrequency (%)
5 2
 
0.4%
4 8
 
1.5%
3 22
 
4.2%
2 102
 
19.4%
1 323
61.3%
0 4
 
0.8%

진공매몰기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
429 
<NA>
66 
2
 
24
0
 
4
3
 
4

Length

Max length4
Median length1
Mean length1.3757116
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 429
81.4%
<NA> 66
 
12.5%
2 24
 
4.6%
0 4
 
0.8%
3 4
 
0.8%

Length

2024-04-18T13:50:39.211827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:39.316621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 429
81.4%
na 66
 
12.5%
2 24
 
4.6%
0 4
 
0.8%
3 4
 
0.8%

핀덱스수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
437 
<NA>
66 
2
 
17
0
 
7

Length

Max length4
Median length1
Mean length1.3757116
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 437
82.9%
<NA> 66
 
12.5%
2 17
 
3.2%
0 7
 
1.3%

Length

2024-04-18T13:50:39.432329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:50:39.532738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 437
82.9%
na 66
 
12.5%
2 17
 
3.2%
0 7
 
1.3%

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
517518치과기공소01_02_04_P3480000PHMB32016348001206230000420161013<NA>1영업/정상13영업중20161013<NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 824번지 8호대구광역시 달성군 논공읍 논공로 74942986더뉴치과기공소20161014100524I2018-08-31 23:59:59.0<NA>330672.657583248636.739356113111111112111
518519치과기공소01_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
519520치과기공소01_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
520521치과기공소01_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
521522치과기공소01_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
522523치과기공소01_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
523524치과기공소01_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
524525치과기공소01_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
525526치과기공소01_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
526527치과기공소01_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