Overview

Dataset statistics

Number of variables37
Number of observations1456
Missing cells16210
Missing cells (%)30.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory452.3 KiB
Average record size in memory318.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported5
DateTime1

Dataset

Description6270000_대구광역시_10_41_01_P_체육도장업_9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000090911&dataSetDetailId=DDI_0000090955&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 is highly imbalanced (97.9%)Imbalance
보험가입여부코드 is highly imbalanced (52.4%)Imbalance
인허가취소일자 has 1456 (100.0%) missing valuesMissing
폐업일자 has 778 (53.4%) missing valuesMissing
휴업시작일자 has 1449 (99.5%) missing valuesMissing
휴업종료일자 has 1449 (99.5%) missing valuesMissing
재개업일자 has 1456 (100.0%) missing valuesMissing
소재지전화 has 397 (27.3%) missing valuesMissing
소재지면적 has 1456 (100.0%) missing valuesMissing
소재지우편번호 has 661 (45.4%) missing valuesMissing
소재지전체주소 has 36 (2.5%) missing valuesMissing
도로명전체주소 has 31 (2.1%) missing valuesMissing
도로명우편번호 has 567 (38.9%) missing valuesMissing
좌표정보(X) has 29 (2.0%) missing valuesMissing
좌표정보(Y) has 29 (2.0%) missing valuesMissing
건축물동수 has 1240 (85.2%) missing valuesMissing
건축물연면적 has 925 (63.5%) missing valuesMissing
회원모집총인원 has 1339 (92.0%) missing valuesMissing
세부업종명 has 1456 (100.0%) missing valuesMissing
법인명 has 1456 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 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
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물동수 has 95 (6.5%) zerosZeros
건축물연면적 has 70 (4.8%) zerosZeros
회원모집총인원 has 96 (6.6%) zerosZeros

Reproduction

Analysis started2023-12-10 20:45:33.077395
Analysis finished2023-12-10 20:45:34.652073
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1456
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean728.5
Minimum1
Maximum1456
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:34.760637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile73.75
Q1364.75
median728.5
Q31092.25
95-th percentile1383.25
Maximum1456
Range1455
Interquartile range (IQR)727.5

Descriptive statistics

Standard deviation420.45531
Coefficient of variation (CV)0.57715211
Kurtosis-1.2
Mean728.5
Median Absolute Deviation (MAD)364
Skewness0
Sum1060696
Variance176782.67
MonotonicityStrictly increasing
2023-12-11T05:45:35.329018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
980 1
 
0.1%
978 1
 
0.1%
977 1
 
0.1%
976 1
 
0.1%
975 1
 
0.1%
974 1
 
0.1%
973 1
 
0.1%
972 1
 
0.1%
971 1
 
0.1%
Other values (1446) 1446
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1456 1
0.1%
1455 1
0.1%
1454 1
0.1%
1453 1
0.1%
1452 1
0.1%
1451 1
0.1%
1450 1
0.1%
1449 1
0.1%
1448 1
0.1%
1447 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
체육도장업
1456 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 1456
100.0%

Length

2023-12-11T05:45:35.569970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:45:35.747689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1456
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
10_41_01_P
1456 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10_41_01_P
2nd row10_41_01_P
3rd row10_41_01_P
4th row10_41_01_P
5th row10_41_01_P

Common Values

ValueCountFrequency (%)
10_41_01_P 1456
100.0%

Length

2023-12-11T05:45:35.911865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:45:36.082314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_41_01_p 1456
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453056.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:36.269661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13440000
median3460000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation19822.223
Coefficient of variation (CV)0.0057404865
Kurtosis-0.78876402
Mean3453056.3
Median Absolute Deviation (MAD)10000
Skewness-0.55956294
Sum5.02765 × 109
Variance3.9292054 × 108
MonotonicityIncreasing
2023-12-11T05:45:36.480517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 353
24.2%
3450000 295
20.3%
3460000 255
17.5%
3420000 197
13.5%
3480000 157
10.8%
3430000 92
 
6.3%
3440000 72
 
4.9%
3410000 35
 
2.4%
ValueCountFrequency (%)
3410000 35
 
2.4%
3420000 197
13.5%
3430000 92
 
6.3%
3440000 72
 
4.9%
3450000 295
20.3%
3460000 255
17.5%
3470000 353
24.2%
3480000 157
10.8%
ValueCountFrequency (%)
3480000 157
10.8%
3470000 353
24.2%
3460000 255
17.5%
3450000 295
20.3%
3440000 72
 
4.9%
3430000 92
 
6.3%
3420000 197
13.5%
3410000 35
 
2.4%

관리번호
Text

Distinct465
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
2023-12-11T05:45:36.780563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters29120
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

Unique138 ?
Unique (%)9.5%

Sample

1st rowCDFH3301022002000001
2nd rowCDFH3301022002000014
3rd rowCDFH3301022005000001
4th rowCDFH3301022005000002
5th rowCDFH3301022002000010
ValueCountFrequency (%)
cdfh3301022002000001 8
 
0.5%
cdfh3301022020000003 8
 
0.5%
cdfh3301022020000001 8
 
0.5%
cdfh3301022020000002 8
 
0.5%
cdfh3301022014000001 8
 
0.5%
cdfh3301022015000001 8
 
0.5%
cdfh3301022005000002 8
 
0.5%
cdfh3301022005000001 8
 
0.5%
cdfh3301022008000001 8
 
0.5%
cdfh3301022010000002 8
 
0.5%
Other values (455) 1376
94.5%
2023-12-11T05:45:37.260339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11927
41.0%
3 3222
 
11.1%
2 3094
 
10.6%
1 2873
 
9.9%
C 1456
 
5.0%
D 1456
 
5.0%
F 1456
 
5.0%
H 1456
 
5.0%
9 809
 
2.8%
4 302
 
1.0%
Other values (4) 1069
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23296
80.0%
Uppercase Letter 5824
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11927
51.2%
3 3222
 
13.8%
2 3094
 
13.3%
1 2873
 
12.3%
9 809
 
3.5%
4 302
 
1.3%
5 287
 
1.2%
7 265
 
1.1%
8 262
 
1.1%
6 255
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 1456
25.0%
D 1456
25.0%
F 1456
25.0%
H 1456
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23296
80.0%
Latin 5824
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11927
51.2%
3 3222
 
13.8%
2 3094
 
13.3%
1 2873
 
12.3%
9 809
 
3.5%
4 302
 
1.3%
5 287
 
1.2%
7 265
 
1.1%
8 262
 
1.1%
6 255
 
1.1%
Latin
ValueCountFrequency (%)
C 1456
25.0%
D 1456
25.0%
F 1456
25.0%
H 1456
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11927
41.0%
3 3222
 
11.1%
2 3094
 
10.6%
1 2873
 
9.9%
C 1456
 
5.0%
D 1456
 
5.0%
F 1456
 
5.0%
H 1456
 
5.0%
9 809
 
2.8%
4 302
 
1.0%
Other values (4) 1069
 
3.7%

인허가일자
Real number (ℝ)

Distinct1252
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20064332
Minimum19710929
Maximum20210831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:37.510077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710929
5-th percentile19930985
Q120001022
median20060922
Q320140308
95-th percentile20200414
Maximum20210831
Range499902
Interquartile range (IQR)139286.5

Descriptive statistics

Standard deviation88221.667
Coefficient of variation (CV)0.0043969401
Kurtosis0.20377632
Mean20064332
Median Absolute Deviation (MAD)60698.5
Skewness-0.36798081
Sum2.9213667 × 1010
Variance7.7830625 × 109
MonotonicityNot monotonic
2023-12-11T05:45:37.804119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021214 13
 
0.9%
20200408 6
 
0.4%
20120302 4
 
0.3%
20200416 4
 
0.3%
20200331 4
 
0.3%
20020318 3
 
0.2%
20110921 3
 
0.2%
20200325 3
 
0.2%
20070308 3
 
0.2%
20000901 3
 
0.2%
Other values (1242) 1410
96.8%
ValueCountFrequency (%)
19710929 1
0.1%
19711006 1
0.1%
19711231 1
0.1%
19721102 1
0.1%
19721202 1
0.1%
19750801 1
0.1%
19770506 1
0.1%
19770524 1
0.1%
19770620 1
0.1%
19780408 1
0.1%
ValueCountFrequency (%)
20210831 2
0.1%
20210827 1
0.1%
20210825 1
0.1%
20210810 1
0.1%
20210727 1
0.1%
20210722 1
0.1%
20210713 1
0.1%
20210615 1
0.1%
20210601 1
0.1%
20210504 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1456
Missing (%)100.0%
Memory size12.9 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
1
770 
3
601 
4
78 
2
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row4
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 770
52.9%
3 601
41.3%
4 78
 
5.4%
2 7
 
0.5%

Length

2023-12-11T05:45:38.030128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:45:38.218866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 770
52.9%
3 601
41.3%
4 78
 
5.4%
2 7
 
0.5%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
영업/정상
770 
폐업
601 
취소/말소/만료/정지/중지
78 
휴업
 
7

Length

Max length14
Median length5
Mean length4.2293956
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴업
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 770
52.9%
폐업 601
41.3%
취소/말소/만료/정지/중지 78
 
5.4%
휴업 7
 
0.5%

Length

2023-12-11T05:45:38.396837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:45:38.558235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 770
52.9%
폐업 601
41.3%
취소/말소/만료/정지/중지 78
 
5.4%
휴업 7
 
0.5%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
13
770 
3
600 
35
78 
2
 
7
34
 
1

Length

Max length2
Median length2
Mean length1.5831044
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row2
2nd row35
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 770
52.9%
3 600
41.2%
35 78
 
5.4%
2 7
 
0.5%
34 1
 
0.1%

Length

2023-12-11T05:45:38.768775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:45:38.958297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 770
52.9%
3 600
41.2%
35 78
 
5.4%
2 7
 
0.5%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
영업중
770 
폐업
600 
직권말소
78 
휴업
 
7
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.6380495
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 770
52.9%
폐업 600
41.2%
직권말소 78
 
5.4%
휴업 7
 
0.5%
영업장폐쇄 1
 
0.1%

Length

2023-12-11T05:45:39.170596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:45:39.364276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 770
52.9%
폐업 600
41.2%
직권말소 78
 
5.4%
휴업 7
 
0.5%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct558
Distinct (%)82.3%
Missing778
Missing (%)53.4%
Infinite0
Infinite (%)0.0%
Mean20130542
Minimum19980930
Maximum20210811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:39.663406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980930
5-th percentile20040327
Q120090565
median20130607
Q320180626
95-th percentile20201042
Maximum20210811
Range229881
Interquartile range (IQR)90061

Descriptive statistics

Standard deviation52386.443
Coefficient of variation (CV)0.0026023364
Kurtosis-0.97507437
Mean20130542
Median Absolute Deviation (MAD)40620.5
Skewness-0.2709107
Sum1.3648508 × 1010
Variance2.7443394 × 109
MonotonicityNot monotonic
2023-12-11T05:45:39.943029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130607 11
 
0.8%
20190705 8
 
0.5%
20200723 8
 
0.5%
20180905 5
 
0.3%
20130306 5
 
0.3%
20181026 5
 
0.3%
20210115 5
 
0.3%
20190620 5
 
0.3%
20150728 4
 
0.3%
20180605 4
 
0.3%
Other values (548) 618
42.4%
(Missing) 778
53.4%
ValueCountFrequency (%)
19980930 1
0.1%
20010130 1
0.1%
20010210 1
0.1%
20011126 1
0.1%
20021002 1
0.1%
20030113 1
0.1%
20030121 1
0.1%
20030127 1
0.1%
20030130 1
0.1%
20030205 1
0.1%
ValueCountFrequency (%)
20210811 1
0.1%
20210805 1
0.1%
20210716 1
0.1%
20210628 1
0.1%
20210607 1
0.1%
20210527 1
0.1%
20210517 1
0.1%
20210506 1
0.1%
20210504 2
0.1%
20210426 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing1449
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean20160459
Minimum20080324
Maximum20210122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:40.139100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080324
5-th percentile20080324
Q120130416
median20190101
Q320190918
95-th percentile20204364
Maximum20210122
Range129798
Interquartile range (IQR)60501

Descriptive statistics

Standard deviation55446.282
Coefficient of variation (CV)0.002750249
Kurtosis-0.89623284
Mean20160459
Median Absolute Deviation (MAD)9592
Skewness-1.1171279
Sum1.4112322 × 108
Variance3.0742902 × 109
MonotonicityNot monotonic
2023-12-11T05:45:40.297070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20080324 2
 
0.1%
20190101 1
 
0.1%
20180509 1
 
0.1%
20190905 1
 
0.1%
20190930 1
 
0.1%
20210122 1
 
0.1%
(Missing) 1449
99.5%
ValueCountFrequency (%)
20080324 2
0.1%
20180509 1
0.1%
20190101 1
0.1%
20190905 1
0.1%
20190930 1
0.1%
20210122 1
0.1%
ValueCountFrequency (%)
20210122 1
0.1%
20190930 1
0.1%
20190905 1
0.1%
20190101 1
0.1%
20180509 1
0.1%
20080324 2
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing1449
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean20188075
Minimum20080824
Maximum20241001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:40.463545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080824
5-th percentile20089946
Q120156231
median20220101
Q320231068
95-th percentile20240972
Maximum20241001
Range160177
Interquartile range (IQR)74837

Descriptive statistics

Standard deviation64933.316
Coefficient of variation (CV)0.0032164194
Kurtosis-0.54081297
Mean20188075
Median Absolute Deviation (MAD)20804
Skewness-1.1251246
Sum1.4131652 × 108
Variance4.2163355 × 109
MonotonicityNot monotonic
2023-12-11T05:45:40.654050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20220101 1
 
0.1%
20201231 1
 
0.1%
20240905 1
 
0.1%
20241001 1
 
0.1%
20221231 1
 
0.1%
20080824 1
 
0.1%
20111231 1
 
0.1%
(Missing) 1449
99.5%
ValueCountFrequency (%)
20080824 1
0.1%
20111231 1
0.1%
20201231 1
0.1%
20220101 1
0.1%
20221231 1
0.1%
20240905 1
0.1%
20241001 1
0.1%
ValueCountFrequency (%)
20241001 1
0.1%
20240905 1
0.1%
20221231 1
0.1%
20220101 1
0.1%
20201231 1
0.1%
20111231 1
0.1%
20080824 1
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1456
Missing (%)100.0%
Memory size12.9 KiB

소재지전화
Text

MISSING 

Distinct1004
Distinct (%)94.8%
Missing397
Missing (%)27.3%
Memory size11.5 KiB
2023-12-11T05:45:41.421624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.070822
Min length4

Characters and Unicode

Total characters10665
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique952 ?
Unique (%)89.9%

Sample

1st row425-9777
2nd row(053)427-2226
3rd row427-2226
4th row254-9222
5th row252-4358
ValueCountFrequency (%)
321-5148 4
 
0.4%
053-634-1233 3
 
0.3%
053 3
 
0.3%
053-631-8983 2
 
0.2%
751-5697 2
 
0.2%
053-521-1103 2
 
0.2%
053-423-6062 2
 
0.2%
959-5523 2
 
0.2%
791-9050 2
 
0.2%
053-638-2343 2
 
0.2%
Other values (996) 1039
97.7%
2023-12-11T05:45:42.609068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1587
14.9%
5 1570
14.7%
3 1416
13.3%
0 1077
10.1%
6 860
8.1%
2 803
7.5%
7 783
7.3%
1 747
7.0%
8 626
 
5.9%
9 605
 
5.7%
Other values (4) 591
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9071
85.1%
Dash Punctuation 1587
 
14.9%
Space Separator 4
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1570
17.3%
3 1416
15.6%
0 1077
11.9%
6 860
9.5%
2 803
8.9%
7 783
8.6%
1 747
8.2%
8 626
 
6.9%
9 605
 
6.7%
4 584
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 1587
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10665
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1587
14.9%
5 1570
14.7%
3 1416
13.3%
0 1077
10.1%
6 860
8.1%
2 803
7.5%
7 783
7.3%
1 747
7.0%
8 626
 
5.9%
9 605
 
5.7%
Other values (4) 591
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10665
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1587
14.9%
5 1570
14.7%
3 1416
13.3%
0 1077
10.1%
6 860
8.1%
2 803
7.5%
7 783
7.3%
1 747
7.0%
8 626
 
5.9%
9 605
 
5.7%
Other values (4) 591
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1456
Missing (%)100.0%
Memory size12.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct362
Distinct (%)45.5%
Missing661
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean704768.74
Minimum700112
Maximum711873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:42.877010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700112
5-th percentile701591.9
Q1702877
median704820
Q3705816
95-th percentile711812
Maximum711873
Range11761
Interquartile range (IQR)2939

Descriptive statistics

Standard deviation2393.5692
Coefficient of variation (CV)0.0033962476
Kurtosis2.1820124
Mean704768.74
Median Absolute Deviation (MAD)1120
Skewness1.1581331
Sum5.6029115 × 108
Variance5729173.4
MonotonicityNot monotonic
2023-12-11T05:45:43.162645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
711812 13
 
0.9%
704803 13
 
0.9%
704936 11
 
0.8%
704808 10
 
0.7%
704902 9
 
0.6%
704830 8
 
0.5%
706808 8
 
0.5%
704941 8
 
0.5%
704838 7
 
0.5%
704837 7
 
0.5%
Other values (352) 701
48.1%
(Missing) 661
45.4%
ValueCountFrequency (%)
700112 1
 
0.1%
700340 1
 
0.1%
700413 1
 
0.1%
700423 1
 
0.1%
700440 1
 
0.1%
700805 2
0.1%
700806 1
 
0.1%
700807 2
0.1%
700808 3
0.2%
700813 1
 
0.1%
ValueCountFrequency (%)
711873 2
 
0.1%
711864 1
 
0.1%
711852 5
0.3%
711851 3
0.2%
711838 1
 
0.1%
711835 1
 
0.1%
711834 5
0.3%
711832 6
0.4%
711831 3
0.2%
711815 3
0.2%

소재지전체주소
Text

MISSING 

Distinct1362
Distinct (%)95.9%
Missing36
Missing (%)2.5%
Memory size11.5 KiB
2023-12-11T05:45:43.811533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length25.555634
Min length13

Characters and Unicode

Total characters36289
Distinct characters301
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1307 ?
Unique (%)92.0%

Sample

1st row대구광역시 중구 동인동4가 424-2번지
2nd row대구광역시 중구 남산동 2501-16번지
3rd row대구광역시 중구 남산동 2971-11번지
4th row대구광역시 중구 남산동 2971-11번지
5th row대구광역시 중구 남산동 2482-458번지
ValueCountFrequency (%)
대구광역시 1420
 
20.5%
달서구 331
 
4.8%
북구 292
 
4.2%
수성구 253
 
3.7%
동구 197
 
2.9%
달성군 152
 
2.2%
2층 101
 
1.5%
서구 90
 
1.3%
3층 83
 
1.2%
남구 72
 
1.0%
Other values (1829) 3919
56.7%
2023-12-11T05:45:44.718463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6761
18.6%
구 2734
 
7.5%
동 1687
 
4.6%
1 1670
 
4.6%
대 1538
 
4.2%
시 1453
 
4.0%
역 1431
 
3.9%
광 1426
 
3.9%
지 1312
 
3.6%
번 1139
 
3.1%
Other values (291) 15138
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20762
57.2%
Decimal Number 7539
 
20.8%
Space Separator 6761
 
18.6%
Dash Punctuation 1049
 
2.9%
Other Punctuation 55
 
0.2%
Open Punctuation 44
 
0.1%
Close Punctuation 44
 
0.1%
Uppercase Letter 25
 
0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2734
 
13.2%
동 1687
 
8.1%
대 1538
 
7.4%
시 1453
 
7.0%
역 1431
 
6.9%
광 1426
 
6.9%
지 1312
 
6.3%
번 1139
 
5.5%
성 560
 
2.7%
서 507
 
2.4%
Other values (259) 6975
33.6%
Decimal Number
ValueCountFrequency (%)
1 1670
22.2%
2 1091
14.5%
3 875
11.6%
0 809
10.7%
4 647
 
8.6%
5 620
 
8.2%
6 471
 
6.2%
7 466
 
6.2%
8 460
 
6.1%
9 430
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
A 7
28.0%
B 6
24.0%
T 3
12.0%
P 2
 
8.0%
K 2
 
8.0%
F 1
 
4.0%
M 1
 
4.0%
H 1
 
4.0%
L 1
 
4.0%
U 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 45
81.8%
/ 6
 
10.9%
. 2
 
3.6%
· 1
 
1.8%
@ 1
 
1.8%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
+ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
6761
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1049
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20761
57.2%
Common 15497
42.7%
Latin 30
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2734
 
13.2%
동 1687
 
8.1%
대 1538
 
7.4%
시 1453
 
7.0%
역 1431
 
6.9%
광 1426
 
6.9%
지 1312
 
6.3%
번 1139
 
5.5%
성 560
 
2.7%
서 507
 
2.4%
Other values (258) 6974
33.6%
Common
ValueCountFrequency (%)
6761
43.6%
1 1670
 
10.8%
2 1091
 
7.0%
- 1049
 
6.8%
3 875
 
5.6%
0 809
 
5.2%
4 647
 
4.2%
5 620
 
4.0%
6 471
 
3.0%
7 466
 
3.0%
Other values (11) 1038
 
6.7%
Latin
ValueCountFrequency (%)
A 7
23.3%
B 6
20.0%
e 5
16.7%
T 3
10.0%
P 2
 
6.7%
K 2
 
6.7%
F 1
 
3.3%
M 1
 
3.3%
H 1
 
3.3%
L 1
 
3.3%
Han
ValueCountFrequency (%)
箚 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20761
57.2%
ASCII 15526
42.8%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6761
43.5%
1 1670
 
10.8%
2 1091
 
7.0%
- 1049
 
6.8%
3 875
 
5.6%
0 809
 
5.2%
4 647
 
4.2%
5 620
 
4.0%
6 471
 
3.0%
7 466
 
3.0%
Other values (21) 1067
 
6.9%
Hangul
ValueCountFrequency (%)
구 2734
 
13.2%
동 1687
 
8.1%
대 1538
 
7.4%
시 1453
 
7.0%
역 1431
 
6.9%
광 1426
 
6.9%
지 1312
 
6.3%
번 1139
 
5.5%
성 560
 
2.7%
서 507
 
2.4%
Other values (258) 6974
33.6%
CJK
ValueCountFrequency (%)
箚 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1397
Distinct (%)98.0%
Missing31
Missing (%)2.1%
Memory size11.5 KiB
2023-12-11T05:45:45.395999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length55
Mean length30.16
Min length20

Characters and Unicode

Total characters42978
Distinct characters332
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1369 ?
Unique (%)96.1%

Sample

1st row대구광역시 중구 국채보상로150길 38 (동인동4가)
2nd row대구광역시 중구 남산로7길 75 (남산동)
3rd row대구광역시 중구 이천로 184-6 (대봉동)
4th row대구광역시 중구 대봉로 261 (봉산동)
5th row대구광역시 중구 태평로 131, 3층 (태평로2가, 선진빌딩)
ValueCountFrequency (%)
대구광역시 1425
 
16.8%
달서구 349
 
4.1%
북구 292
 
3.4%
수성구 252
 
3.0%
동구 195
 
2.3%
달성군 147
 
1.7%
2층 144
 
1.7%
3층 112
 
1.3%
서구 92
 
1.1%
4층 74
 
0.9%
Other values (1792) 5422
63.8%
2023-12-11T05:45:46.412709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7410
 
17.2%
구 2879
 
6.7%
동 1902
 
4.4%
대 1761
 
4.1%
시 1469
 
3.4%
역 1454
 
3.4%
광 1433
 
3.3%
로 1397
 
3.3%
1 1377
 
3.2%
( 1361
 
3.2%
Other values (322) 20535
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24533
57.1%
Space Separator 7410
 
17.2%
Decimal Number 6912
 
16.1%
Open Punctuation 1361
 
3.2%
Close Punctuation 1361
 
3.2%
Other Punctuation 1192
 
2.8%
Dash Punctuation 164
 
0.4%
Uppercase Letter 30
 
0.1%
Math Symbol 10
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2879
 
11.7%
동 1902
 
7.8%
대 1761
 
7.2%
시 1469
 
6.0%
역 1454
 
5.9%
광 1433
 
5.8%
로 1397
 
5.7%
성 635
 
2.6%
서 611
 
2.5%
층 594
 
2.4%
Other values (289) 10398
42.4%
Uppercase Letter
ValueCountFrequency (%)
A 7
23.3%
B 7
23.3%
T 3
10.0%
H 3
10.0%
P 2
 
6.7%
K 2
 
6.7%
L 2
 
6.7%
M 1
 
3.3%
F 1
 
3.3%
S 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 1377
19.9%
2 1275
18.4%
3 881
12.7%
0 828
12.0%
4 628
9.1%
5 589
8.5%
6 437
 
6.3%
7 345
 
5.0%
9 279
 
4.0%
8 273
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 1177
98.7%
. 8
 
0.7%
/ 5
 
0.4%
@ 1
 
0.1%
· 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 9
90.0%
+ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
7410
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1361
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1361
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24532
57.1%
Common 18410
42.8%
Latin 35
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2879
 
11.7%
동 1902
 
7.8%
대 1761
 
7.2%
시 1469
 
6.0%
역 1454
 
5.9%
광 1433
 
5.8%
로 1397
 
5.7%
성 635
 
2.6%
서 611
 
2.5%
층 594
 
2.4%
Other values (288) 10397
42.4%
Common
ValueCountFrequency (%)
7410
40.2%
1 1377
 
7.5%
( 1361
 
7.4%
) 1361
 
7.4%
2 1275
 
6.9%
, 1177
 
6.4%
3 881
 
4.8%
0 828
 
4.5%
4 628
 
3.4%
5 589
 
3.2%
Other values (11) 1523
 
8.3%
Latin
ValueCountFrequency (%)
A 7
20.0%
B 7
20.0%
e 5
14.3%
T 3
8.6%
H 3
8.6%
P 2
 
5.7%
K 2
 
5.7%
L 2
 
5.7%
M 1
 
2.9%
F 1
 
2.9%
Other values (2) 2
 
5.7%
Han
ValueCountFrequency (%)
箚 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24532
57.1%
ASCII 18444
42.9%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7410
40.2%
1 1377
 
7.5%
( 1361
 
7.4%
) 1361
 
7.4%
2 1275
 
6.9%
, 1177
 
6.4%
3 881
 
4.8%
0 828
 
4.5%
4 628
 
3.4%
5 589
 
3.2%
Other values (22) 1557
 
8.4%
Hangul
ValueCountFrequency (%)
구 2879
 
11.7%
동 1902
 
7.8%
대 1761
 
7.2%
시 1469
 
6.0%
역 1454
 
5.9%
광 1433
 
5.8%
로 1397
 
5.7%
성 635
 
2.6%
서 611
 
2.5%
층 594
 
2.4%
Other values (288) 10397
42.4%
CJK
ValueCountFrequency (%)
箚 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct500
Distinct (%)56.2%
Missing567
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean82238.861
Minimum41002
Maximum711812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:46.679741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41086
Q141450
median42101
Q342761
95-th percentile702760.4
Maximum711812
Range670810
Interquartile range (IQR)1311

Descriptive statistics

Standard deviation158303.44
Coefficient of variation (CV)1.9249226
Kurtosis11.599642
Mean82238.861
Median Absolute Deviation (MAD)659
Skewness3.6841698
Sum73110347
Variance2.5059978 × 1010
MonotonicityNot monotonic
2023-12-11T05:45:46.961965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41026 13
 
0.9%
42974 9
 
0.6%
41423 8
 
0.5%
41493 8
 
0.5%
43018 8
 
0.5%
43017 7
 
0.5%
43008 7
 
0.5%
42960 6
 
0.4%
41443 6
 
0.4%
41417 6
 
0.4%
Other values (490) 811
55.7%
(Missing) 567
38.9%
ValueCountFrequency (%)
41002 1
 
0.1%
41003 1
 
0.1%
41005 2
 
0.1%
41026 13
0.9%
41034 1
 
0.1%
41036 1
 
0.1%
41042 1
 
0.1%
41044 1
 
0.1%
41045 1
 
0.1%
41050 2
 
0.1%
ValueCountFrequency (%)
711812 1
0.1%
706851 1
0.1%
706808 1
0.1%
706806 1
0.1%
706791 1
0.1%
706764 1
0.1%
706739 1
0.1%
706040 1
0.1%
705836 1
0.1%
705825 1
0.1%

사업장명
Text

Distinct1392
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
2023-12-11T05:45:47.593450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length7.9793956
Min length2

Characters and Unicode

Total characters11618
Distinct characters467
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1334 ?
Unique (%)91.6%

Sample

1st row무덕관 대구시본관
2nd row월드권투체육관
3rd row계명태권도장
4th row계명태권도장
5th row태권도까치장원도장
ValueCountFrequency (%)
태권도장 154
 
6.9%
태권도 105
 
4.7%
계명대 67
 
3.0%
용인대 31
 
1.4%
합기도 28
 
1.3%
체육관 23
 
1.0%
태권스쿨 14
 
0.6%
2관 10
 
0.4%
i 10
 
0.4%
can 9
 
0.4%
Other values (1470) 1772
79.7%
2023-12-11T05:45:48.525152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 1154
 
9.9%
태 1041
 
9.0%
권 1018
 
8.8%
767
 
6.6%
관 440
 
3.8%
장 413
 
3.6%
대 325
 
2.8%
육 275
 
2.4%
체 269
 
2.3%
명 160
 
1.4%
Other values (457) 5756
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10366
89.2%
Space Separator 767
 
6.6%
Uppercase Letter 252
 
2.2%
Decimal Number 91
 
0.8%
Lowercase Letter 67
 
0.6%
Close Punctuation 26
 
0.2%
Open Punctuation 25
 
0.2%
Other Punctuation 22
 
0.2%
Final Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1154
 
11.1%
태 1041
 
10.0%
권 1018
 
9.8%
관 440
 
4.2%
장 413
 
4.0%
대 325
 
3.1%
육 275
 
2.7%
체 269
 
2.6%
명 160
 
1.5%
스 158
 
1.5%
Other values (400) 5113
49.3%
Uppercase Letter
ValueCountFrequency (%)
A 35
13.9%
T 26
10.3%
M 24
 
9.5%
N 21
 
8.3%
I 21
 
8.3%
C 16
 
6.3%
E 13
 
5.2%
O 13
 
5.2%
P 11
 
4.4%
K 11
 
4.4%
Other values (13) 61
24.2%
Lowercase Letter
ValueCountFrequency (%)
i 12
17.9%
e 11
16.4%
m 6
9.0%
l 5
7.5%
a 5
7.5%
o 4
 
6.0%
y 3
 
4.5%
w 3
 
4.5%
r 3
 
4.5%
s 3
 
4.5%
Other values (7) 12
17.9%
Decimal Number
ValueCountFrequency (%)
2 48
52.7%
1 15
 
16.5%
3 11
 
12.1%
5 6
 
6.6%
8 4
 
4.4%
7 3
 
3.3%
9 2
 
2.2%
6 1
 
1.1%
4 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 11
50.0%
& 10
45.5%
, 1
 
4.5%
Space Separator
ValueCountFrequency (%)
767
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10365
89.2%
Common 933
 
8.0%
Latin 319
 
2.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1154
 
11.1%
태 1041
 
10.0%
권 1018
 
9.8%
관 440
 
4.2%
장 413
 
4.0%
대 325
 
3.1%
육 275
 
2.7%
체 269
 
2.6%
명 160
 
1.5%
스 158
 
1.5%
Other values (399) 5112
49.3%
Latin
ValueCountFrequency (%)
A 35
 
11.0%
T 26
 
8.2%
M 24
 
7.5%
N 21
 
6.6%
I 21
 
6.6%
C 16
 
5.0%
E 13
 
4.1%
O 13
 
4.1%
i 12
 
3.8%
e 11
 
3.4%
Other values (30) 127
39.8%
Common
ValueCountFrequency (%)
767
82.2%
2 48
 
5.1%
) 26
 
2.8%
( 25
 
2.7%
1 15
 
1.6%
3 11
 
1.2%
. 11
 
1.2%
& 10
 
1.1%
5 6
 
0.6%
8 4
 
0.4%
Other values (7) 10
 
1.1%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10365
89.2%
ASCII 1251
 
10.8%
Punctuation 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 1154
 
11.1%
태 1041
 
10.0%
권 1018
 
9.8%
관 440
 
4.2%
장 413
 
4.0%
대 325
 
3.1%
육 275
 
2.7%
체 269
 
2.6%
명 160
 
1.5%
스 158
 
1.5%
Other values (399) 5112
49.3%
ASCII
ValueCountFrequency (%)
767
61.3%
2 48
 
3.8%
A 35
 
2.8%
T 26
 
2.1%
) 26
 
2.1%
( 25
 
2.0%
M 24
 
1.9%
N 21
 
1.7%
I 21
 
1.7%
C 16
 
1.3%
Other values (46) 242
 
19.3%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1456
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0163681 × 1013
Minimum2.0021214 × 1013
Maximum2.0210831 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:48.799052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021214 × 1013
5-th percentile2.0060603 × 1013
Q12.0140416 × 1013
median2.0180823 × 1013
Q32.0200502 × 1013
95-th percentile2.0210806 × 1013
Maximum2.0210831 × 1013
Range1.8961705 × 1011
Interquartile range (IQR)6.0086041 × 1010

Descriptive statistics

Standard deviation4.8034467 × 1010
Coefficient of variation (CV)0.0023822271
Kurtosis0.2498223
Mean2.0163681 × 1013
Median Absolute Deviation (MAD)2.0218554 × 1010
Skewness-1.1264995
Sum2.935832 × 1016
Variance2.30731 × 1021
MonotonicityNot monotonic
2023-12-11T05:45:49.117706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181224112211 1
 
0.1%
20200424180145 1
 
0.1%
20190705131808 1
 
0.1%
20190705133329 1
 
0.1%
20190729103117 1
 
0.1%
20190620114253 1
 
0.1%
20190729103242 1
 
0.1%
20170628095113 1
 
0.1%
20200109174006 1
 
0.1%
20190620114409 1
 
0.1%
Other values (1446) 1446
99.3%
ValueCountFrequency (%)
20021214093818 1
0.1%
20030110142644 1
0.1%
20030113104914 1
0.1%
20030123114838 1
0.1%
20030501150030 1
0.1%
20030501150134 1
0.1%
20030501150555 1
0.1%
20030501150648 1
0.1%
20030509114122 1
0.1%
20030514093739 1
0.1%
ValueCountFrequency (%)
20210831140714 1
0.1%
20210831104249 1
0.1%
20210830145924 1
0.1%
20210827171223 1
0.1%
20210825132843 1
0.1%
20210824142825 1
0.1%
20210824103405 1
0.1%
20210823143459 1
0.1%
20210823091319 1
0.1%
20210820172230 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
I
816 
U
640 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 816
56.0%
U 640
44.0%

Length

2023-12-11T05:45:49.421182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:45:49.647465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 816
56.0%
u 640
44.0%

데이터갱신일자
Date

Distinct328
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-09-02 00:22:59
2023-12-11T05:45:49.898791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:45:50.211637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
태권도
646 
<NA>
566 
권투
91 
합기도
75 
검도
 
34
Other values (3)
 
44

Length

Max length4
Median length3
Mean length3.2740385
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
태권도 646
44.4%
<NA> 566
38.9%
권투 91
 
6.2%
합기도 75
 
5.2%
검도 34
 
2.3%
유도 34
 
2.3%
우슈 8
 
0.5%
레슬링 2
 
0.1%

Length

2023-12-11T05:45:50.607331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:45:50.912008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태권도 646
44.4%
na 566
38.9%
권투 91
 
6.2%
합기도 75
 
5.2%
검도 34
 
2.3%
유도 34
 
2.3%
우슈 8
 
0.5%
레슬링 2
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1191
Distinct (%)83.5%
Missing29
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean342480.64
Minimum327811.76
Maximum357933.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:51.880074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327811.76
5-th percentile332197.64
Q1338608.58
median341616.95
Q3346394
95-th percentile354214.99
Maximum357933.24
Range30121.477
Interquartile range (IQR)7785.4201

Descriptive statistics

Standard deviation5996.5229
Coefficient of variation (CV)0.017509086
Kurtosis-0.19338019
Mean342480.64
Median Absolute Deviation (MAD)3960.8314
Skewness0.21986877
Sum4.8871987 × 108
Variance35958287
MonotonicityNot monotonic
2023-12-11T05:45:52.275071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
356310.917659 4
 
0.3%
340273.190841 4
 
0.3%
339230.84514 4
 
0.3%
339707.871257 3
 
0.2%
344791.847076 3
 
0.2%
345660.693884 3
 
0.2%
340643.863357 3
 
0.2%
338643.581683 3
 
0.2%
340439.491773 3
 
0.2%
348154.531222 3
 
0.2%
Other values (1181) 1394
95.7%
(Missing) 29
 
2.0%
ValueCountFrequency (%)
327811.761117 1
 
0.1%
327853.173809 1
 
0.1%
328069.657841 1
 
0.1%
328183.920892 1
 
0.1%
328270.061481 1
 
0.1%
328307.68149 1
 
0.1%
328448.0 1
 
0.1%
328477.676905 3
0.2%
328685.673548 1
 
0.1%
328790.661316 1
 
0.1%
ValueCountFrequency (%)
357933.237729 1
 
0.1%
357908.12325 1
 
0.1%
357867.135305 1
 
0.1%
356548.207715 1
 
0.1%
356437.392326 1
 
0.1%
356410.892344 1
 
0.1%
356353.91544 1
 
0.1%
356310.917659 4
0.3%
356142.765212 2
0.1%
356129.784535 2
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1189
Distinct (%)83.3%
Missing29
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean263110.38
Minimum240358.72
Maximum273712.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:52.659772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240358.72
5-th percentile256771.03
Q1260714.9
median263092.63
Q3265868.68
95-th percentile271884.06
Maximum273712.08
Range33353.36
Interquartile range (IQR)5153.7781

Descriptive statistics

Standard deviation5233.8301
Coefficient of variation (CV)0.019892146
Kurtosis3.3954412
Mean263110.38
Median Absolute Deviation (MAD)2594.9976
Skewness-0.98866193
Sum3.7545852 × 108
Variance27392977
MonotonicityNot monotonic
2023-12-11T05:45:53.030679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264295.293906 4
 
0.3%
261410.555121 4
 
0.3%
272329.344511 4
 
0.3%
266185.181992 3
 
0.2%
271441.238804 3
 
0.2%
267901.294823 3
 
0.2%
263898.212801 3
 
0.2%
271208.630961 3
 
0.2%
261555.956509 3
 
0.2%
263032.804466 3
 
0.2%
Other values (1179) 1394
95.7%
(Missing) 29
 
2.0%
ValueCountFrequency (%)
240358.722944 1
 
0.1%
240365.71605 1
 
0.1%
240457.0 1
 
0.1%
240473.571874 3
0.2%
240482.809935 1
 
0.1%
240485.785927 1
 
0.1%
240491.096813 1
 
0.1%
240899.421415 1
 
0.1%
244341.133018 1
 
0.1%
244421.0 1
 
0.1%
ValueCountFrequency (%)
273712.082489 1
 
0.1%
273589.424448 1
 
0.1%
273584.927185 2
0.1%
273555.904935 1
 
0.1%
273287.318216 2
0.1%
273214.252044 1
 
0.1%
273154.517513 3
0.2%
273141.838526 1
 
0.1%
273134.589051 1
 
0.1%
273133.293155 1
 
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
체육도장업
1456 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 1456
100.0%

Length

2023-12-11T05:45:53.341374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:45:53.587070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1456
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
사립
1453 
공립
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 1453
99.8%
공립 3
 
0.2%

Length

2023-12-11T05:45:53.838054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:45:54.049933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1453
99.8%
공립 3
 
0.2%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
<NA>
1165 
0
284 
Y
 
7

Length

Max length4
Median length4
Mean length3.4004121
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1165
80.0%
0 284
 
19.5%
Y 7
 
0.5%

Length

2023-12-11T05:45:54.292909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:45:54.539127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1165
80.0%
0 284
 
19.5%
y 7
 
0.5%

지도자수
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
<NA>
814 
1
547 
0
83 
2
 
12

Length

Max length4
Median length4
Mean length2.6771978
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 814
55.9%
1 547
37.6%
0 83
 
5.7%
2 12
 
0.8%

Length

2023-12-11T05:45:54.806670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:45:55.061498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 814
55.9%
1 547
37.6%
0 83
 
5.7%
2 12
 
0.8%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.8%
Missing1240
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean1.1481481
Minimum0
Maximum122
Zeros95
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:55.255671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum122
Range122
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.2814613
Coefficient of variation (CV)7.2128856
Kurtosis213.86164
Mean1.1481481
Median Absolute Deviation (MAD)0
Skewness14.588561
Sum248
Variance68.582601
MonotonicityNot monotonic
2023-12-11T05:45:55.485941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 117
 
8.0%
0 95
 
6.5%
4 1
 
0.1%
122 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
(Missing) 1240
85.2%
ValueCountFrequency (%)
0 95
6.5%
1 117
8.0%
2 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%
122 1
 
0.1%
ValueCountFrequency (%)
122 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
1 117
8.0%
0 95
6.5%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct438
Distinct (%)82.5%
Missing925
Missing (%)63.5%
Infinite0
Infinite (%)0.0%
Mean938.97859
Minimum0
Maximum22199.95
Zeros70
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:55.750207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1111.575
median415.31
Q31003.02
95-th percentile3761.565
Maximum22199.95
Range22199.95
Interquartile range (IQR)891.445

Descriptive statistics

Standard deviation1748.4609
Coefficient of variation (CV)1.8620881
Kurtosis53.93996
Mean938.97859
Median Absolute Deviation (MAD)328.31
Skewness5.8989969
Sum498597.63
Variance3057115.4
MonotonicityNot monotonic
2023-12-11T05:45:56.018878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 70
 
4.8%
99.0 7
 
0.5%
4995.48 2
 
0.1%
118.26 2
 
0.1%
489.12 2
 
0.1%
106.37 2
 
0.1%
1841.28 2
 
0.1%
742.5 2
 
0.1%
3884.67 2
 
0.1%
940.17 2
 
0.1%
Other values (428) 438
30.1%
(Missing) 925
63.5%
ValueCountFrequency (%)
0.0 70
4.8%
68.31 1
 
0.1%
69.42 1
 
0.1%
72.95 1
 
0.1%
73.1 1
 
0.1%
74.25 1
 
0.1%
75.0 1
 
0.1%
76.57 1
 
0.1%
79.0 1
 
0.1%
80.55 1
 
0.1%
ValueCountFrequency (%)
22199.95 1
0.1%
16106.4 1
0.1%
9495.92 1
0.1%
7930.9 1
0.1%
7549.31 1
0.1%
7471.37 1
0.1%
7434.84 1
0.1%
6879.2 1
0.1%
6593.98 1
0.1%
6308.83 1
0.1%

회원모집총인원
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)6.8%
Missing1339
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean7.6581197
Minimum0
Maximum100
Zeros96
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-11T05:45:56.206129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.531038
Coefficient of variation (CV)2.4197895
Kurtosis8.1623398
Mean7.6581197
Median Absolute Deviation (MAD)0
Skewness2.7688401
Sum896
Variance343.39935
MonotonicityNot monotonic
2023-12-11T05:45:56.372766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 96
 
6.6%
30 10
 
0.7%
50 4
 
0.3%
80 2
 
0.1%
40 2
 
0.1%
36 1
 
0.1%
20 1
 
0.1%
100 1
 
0.1%
(Missing) 1339
92.0%
ValueCountFrequency (%)
0 96
6.6%
20 1
 
0.1%
30 10
 
0.7%
36 1
 
0.1%
40 2
 
0.1%
50 4
 
0.3%
80 2
 
0.1%
100 1
 
0.1%
ValueCountFrequency (%)
100 1
 
0.1%
80 2
 
0.1%
50 4
 
0.3%
40 2
 
0.1%
36 1
 
0.1%
30 10
 
0.7%
20 1
 
0.1%
0 96
6.6%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1456
Missing (%)100.0%
Memory size12.9 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1456
Missing (%)100.0%
Memory size12.9 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01체육도장업10_41_01_P3410000CDFH330102200200000120021214<NA>2휴업2휴업<NA>2019010120220101<NA>425-9777<NA><NA>대구광역시 중구 동인동4가 424-2번지대구광역시 중구 국채보상로150길 38 (동인동4가)41946무덕관 대구시본관20181224112211U2018-12-26 02:40:00.0태권도345430.072454264159.93956체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
12체육도장업10_41_01_P3410000CDFH330102200200001420021214<NA>4취소/말소/만료/정지/중지35직권말소20100517<NA><NA><NA><NA><NA>700807대구광역시 중구 남산동 2501-16번지<NA><NA>월드권투체육관20100622170806I2018-08-31 23:59:59.0<NA>342857.971446263170.349284체육도장업사립<NA><NA><NA>138.96<NA><NA><NA>
23체육도장업10_41_01_P3410000CDFH330102200500000120050720<NA>3폐업3폐업20050818<NA><NA><NA>(053)427-2226<NA>700808대구광역시 중구 남산동 2971-11번지<NA><NA>계명태권도장20050830102326I2018-08-31 23:59:59.0<NA>342303.123488263634.294525체육도장업사립0<NA><NA><NA><NA><NA><NA>
34체육도장업10_41_01_P3410000CDFH330102200500000220051026<NA>3폐업3폐업20051107<NA><NA><NA>427-2226<NA>700808대구광역시 중구 남산동 2971-11번지<NA><NA>계명태권도장20051107133614I2018-08-31 23:59:59.0<NA>342303.123488263634.294525체육도장업사립0<NA><NA><NA><NA><NA><NA>
45체육도장업10_41_01_P3410000CDFH330102200200001020021214<NA>3폐업3폐업20161201<NA><NA><NA>254-9222<NA>700805대구광역시 중구 남산동 2482-458번지대구광역시 중구 남산로7길 75 (남산동)41977태권도까치장원도장20170105155516I2018-08-31 23:59:59.0태권도342565.585038263288.453034체육도장업사립<NA><NA><NA>2109.47<NA><NA><NA>
56체육도장업10_41_01_P3410000CDFH330102200200000320021214<NA>3폐업3폐업20030610<NA><NA><NA>252-4358<NA>700440대구광역시 중구 남산동 571-7번지<NA><NA>황금체육도장20050411103803I2018-08-31 23:59:59.0<NA>343437.585946263821.006495체육도장업사립0<NA><NA>180.0<NA><NA><NA>
67체육도장업10_41_01_P3410000CDFH330102200200000520021214<NA>3폐업3폐업20050217<NA><NA><NA>424-9312<NA>700806대구광역시 중구 남산동 106-6번지<NA><NA>아세아종합체육관20050218115643I2018-08-31 23:59:59.0<NA>342839.579004263641.536906체육도장업사립0<NA><NA>82.75<NA><NA><NA>
78체육도장업10_41_01_P3410000CDFH330102200200001120021214<NA>3폐업3폐업20130117<NA><NA><NA><NA><NA>700813대구광역시 중구 대봉동 727-25번지대구광역시 중구 이천로 184-6 (대봉동)700813정기관20140123143745I2018-08-31 23:59:59.0<NA>344346.631878263107.173684체육도장업사립<NA>2<NA><NA><NA><NA><NA>
89체육도장업10_41_01_P3410000CDFH330102200200001220021214<NA>3폐업3폐업20070123<NA><NA><NA>424-9525<NA>700423대구광역시 중구 동인동3가 271-17번지<NA><NA>무현관20021214093818I2018-08-31 23:59:59.0<NA>345197.826647264819.133032체육도장업사립0<NA><NA>117.29<NA><NA><NA>
910체육도장업10_41_01_P3410000CDFH330102200200001320021214<NA>3폐업3폐업20050519<NA><NA><NA>253-9974<NA>700807대구광역시 중구 남산동 2501-3번지<NA><NA>검도교실민무관20050519104018I2018-08-31 23:59:59.0<NA>342866.256272263191.495125체육도장업사립0<NA><NA>186.0<NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
14461447체육도장업10_41_01_P3480000CDFH330102200000001220000927<NA>3폐업3폐업20170727<NA><NA><NA>616-1454<NA>711851대구광역시 달성군 논공읍 금포리 1503-0004번지<NA><NA>금포태권도20170727133014I2018-08-31 23:59:59.0태권도328790.661316253711.935934체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
14471448체육도장업10_41_01_P3480000CDFH330102202000001720201202<NA>3폐업3폐업20210106<NA><NA><NA>053-637-5579<NA><NA>대구광역시 달성군 다사읍 세천리 1571-6 3층 301,302호대구광역시 달성군 다사읍 세천북로 17, 3층 301,302호42922아이비 태권도20210107153827U2021-01-09 02:40:00.0태권도333490.900599265020.428693체육도장업사립<NA>1<NA><NA><NA><NA><NA>
14481449체육도장업10_41_01_P3480000CDFH330102201900000120190305<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡리 876번지 협성휴포레·죽곡 상가 301동 401호대구광역시 달성군 다사읍 달구벌대로174길 50 (협성휴포레·죽곡)42915예담 태권도장20190624131451U2019-06-26 02:40:00.0태권도<NA><NA>체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
14491450체육도장업10_41_01_P3480000CDFH330102201900000220190409<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡리 373 대실역 e-편한세상 301동 302호대구광역시 달성군 다사읍 죽곡1길 42, 301동 302호 (대실역 e-편한세상)42918계명대태양9태권도장20210513130400U2021-05-15 02:40:00.0태권도332102.190328262589.09627체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
14501451체육도장업10_41_01_P3480000CDFH330102201900000320190417<NA>1영업/정상13영업중<NA><NA><NA><NA>053-615-1188<NA><NA>대구광역시 달성군 현풍읍 중리 497번지대구광역시 달성군 현풍읍 테크노상업로 40, 8층43017정기영 복싱체육관20190417095455I2019-04-19 02:20:25.0권투331560.0244581.0체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
14511452체육도장업10_41_01_P3480000CDFH330102201900000520190926<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡리 201-6 3층대구광역시 달성군 다사읍 죽곡1길 6, 3층42918해동검도 다사도장20200717090744U2020-07-19 02:40:00.0검도332155.180676262982.331524체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
14521453체육도장업10_41_01_P3480000CDFH330102201900000720191202<NA>1영업/정상13영업중<NA><NA><NA><NA>053-614-1666<NA><NA>대구광역시 달성군 구지면 응암리 1178 달성 화성 파크드림대구광역시 달성군 구지면 과학마을로2길 6, 214동 12,13,14호 (달성 화성 파크드림)43009아이원3태권도장20200727084759U2020-07-29 02:40:00.0태권도327853.173809240358.722944체육도장업사립<NA>1<NA><NA><NA><NA><NA>
14531454체육도장업10_41_01_P3480000CDFH330102201900000620191028<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 옥포읍 교항리 2982번지대구광역시 달성군 옥포읍 돌미로 132, 302~303호42974효단태권도장20191028094210I2019-10-30 00:23:03.0태권도<NA><NA>체육도장업사립<NA>1<NA><NA><NA><NA><NA>
14541455체육도장업10_41_01_P3480000CDFH330102201600001520161108<NA>1영업/정상13영업중<NA><NA><NA><NA>053-614-6787<NA><NA>대구광역시 달성군 논공읍 북리 803-95번지대구광역시 달성군 논공읍 논공로21길 14-642979하랑태권도장 220200317204519U2020-03-19 02:40:00.0태권도330588.676833248780.963975체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
14551456체육도장업10_41_01_P3480000CDFH330102201700000520170616<NA>1영업/정상13영업중<NA><NA><NA><NA>053-611-5768<NA><NA>대구광역시 달성군 유가읍 봉리 615번지대구광역시 달성군 유가읍 테크노상업로 108, 404호43018몬스터 짐20200317183810U2020-03-19 02:40:00.0권투332196.0244700.0체육도장업사립<NA><NA><NA><NA><NA><NA><NA>