Overview

Dataset statistics

Number of variables37
Number of observations1496
Missing cells16372
Missing cells (%)29.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory464.7 KiB
Average record size in memory318.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported5
DateTime1

Dataset

Description22년11월_6270000_대구광역시_10_41_01_P_체육도장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097056&dataSetDetailId=DDI_0000097076&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 is highly imbalanced (97.9%)Imbalance
보험가입여부코드 is highly imbalanced (53.2%)Imbalance
인허가취소일자 has 1496 (100.0%) missing valuesMissing
폐업일자 has 790 (52.8%) missing valuesMissing
휴업시작일자 has 1488 (99.5%) missing valuesMissing
휴업종료일자 has 1488 (99.5%) missing valuesMissing
재개업일자 has 1496 (100.0%) missing valuesMissing
소재지전화 has 437 (29.2%) missing valuesMissing
소재지면적 has 1496 (100.0%) missing valuesMissing
소재지우편번호 has 704 (47.1%) missing valuesMissing
소재지전체주소 has 36 (2.4%) missing valuesMissing
도로명전체주소 has 31 (2.1%) missing valuesMissing
도로명우편번호 has 568 (38.0%) missing valuesMissing
건축물동수 has 1174 (78.5%) missing valuesMissing
건축물연면적 has 879 (58.8%) missing valuesMissing
회원모집총인원 has 1271 (85.0%) missing valuesMissing
세부업종명 has 1496 (100.0%) missing valuesMissing
법인명 has 1496 (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 199 (13.3%) zerosZeros
건축물연면적 has 150 (10.0%) zerosZeros
회원모집총인원 has 204 (13.6%) zerosZeros

Reproduction

Analysis started2023-12-10 19:08:01.954281
Analysis finished2023-12-10 19:08:03.605626
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1496
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean748.5
Minimum1
Maximum1496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:03.727714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile75.75
Q1374.75
median748.5
Q31122.25
95-th percentile1421.25
Maximum1496
Range1495
Interquartile range (IQR)747.5

Descriptive statistics

Standard deviation432.00231
Coefficient of variation (CV)0.5771574
Kurtosis-1.2
Mean748.5
Median Absolute Deviation (MAD)374
Skewness0
Sum1119756
Variance186626
MonotonicityStrictly increasing
2023-12-11T04:08:03.972442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
996 1
 
0.1%
1005 1
 
0.1%
1004 1
 
0.1%
1003 1
 
0.1%
1002 1
 
0.1%
1001 1
 
0.1%
1000 1
 
0.1%
999 1
 
0.1%
998 1
 
0.1%
Other values (1486) 1486
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 (%)
1496 1
0.1%
1495 1
0.1%
1494 1
0.1%
1493 1
0.1%
1492 1
0.1%
1491 1
0.1%
1490 1
0.1%
1489 1
0.1%
1488 1
0.1%
1487 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
체육도장업
1496 

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 1496
100.0%

Length

2023-12-11T04:08:04.242823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:08:04.400576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1496
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
10_41_01_P
1496 

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 1496
100.0%

Length

2023-12-11T04:08:04.568424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:08:04.727106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_41_01_p 1496
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453148.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:04.880286image/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 deviation19829.896
Coefficient of variation (CV)0.0057425555
Kurtosis-0.78329344
Mean3453148.4
Median Absolute Deviation (MAD)10000
Skewness-0.55903887
Sum5.16591 × 109
Variance3.9322479 × 108
MonotonicityIncreasing
2023-12-11T04:08:05.371044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 361
24.1%
3450000 305
20.4%
3460000 259
17.3%
3420000 200
13.4%
3480000 166
11.1%
3430000 95
 
6.4%
3440000 74
 
4.9%
3410000 36
 
2.4%
ValueCountFrequency (%)
3410000 36
 
2.4%
3420000 200
13.4%
3430000 95
 
6.4%
3440000 74
 
4.9%
3450000 305
20.4%
3460000 259
17.3%
3470000 361
24.1%
3480000 166
11.1%
ValueCountFrequency (%)
3480000 166
11.1%
3470000 361
24.1%
3460000 259
17.3%
3450000 305
20.4%
3440000 74
 
4.9%
3430000 95
 
6.4%
3420000 200
13.4%
3410000 36
 
2.4%

관리번호
Text

Distinct475
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2023-12-11T04:08:05.684828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters29920
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

Unique140 ?
Unique (%)9.4%

Sample

1st rowCDFH3301022002000001
2nd rowCDFH3301022002000014
3rd rowCDFH3301022005000001
4th rowCDFH3301022005000002
5th rowCDFH3301022002000010
ValueCountFrequency (%)
cdfh3301022002000001 8
 
0.5%
cdfh3301022020000002 8
 
0.5%
cdfh3301022014000001 8
 
0.5%
cdfh3301022015000001 8
 
0.5%
cdfh3301022020000001 8
 
0.5%
cdfh3301022020000003 8
 
0.5%
cdfh3301022005000001 8
 
0.5%
cdfh3301022010000002 8
 
0.5%
cdfh3301022005000002 8
 
0.5%
cdfh3301022008000001 8
 
0.5%
Other values (465) 1416
94.7%
2023-12-11T04:08:06.238435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12249
40.9%
3 3312
 
11.1%
2 3241
 
10.8%
1 2938
 
9.8%
C 1496
 
5.0%
D 1496
 
5.0%
F 1496
 
5.0%
H 1496
 
5.0%
9 809
 
2.7%
4 309
 
1.0%
Other values (4) 1078
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23936
80.0%
Uppercase Letter 5984
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12249
51.2%
3 3312
 
13.8%
2 3241
 
13.5%
1 2938
 
12.3%
9 809
 
3.4%
4 309
 
1.3%
5 292
 
1.2%
7 265
 
1.1%
8 262
 
1.1%
6 259
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 1496
25.0%
D 1496
25.0%
F 1496
25.0%
H 1496
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23936
80.0%
Latin 5984
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12249
51.2%
3 3312
 
13.8%
2 3241
 
13.5%
1 2938
 
12.3%
9 809
 
3.4%
4 309
 
1.3%
5 292
 
1.2%
7 265
 
1.1%
8 262
 
1.1%
6 259
 
1.1%
Latin
ValueCountFrequency (%)
C 1496
25.0%
D 1496
25.0%
F 1496
25.0%
H 1496
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12249
40.9%
3 3312
 
11.1%
2 3241
 
10.8%
1 2938
 
9.8%
C 1496
 
5.0%
D 1496
 
5.0%
F 1496
 
5.0%
H 1496
 
5.0%
9 809
 
2.7%
4 309
 
1.0%
Other values (4) 1078
 
3.6%

인허가일자
Real number (ℝ)

Distinct1290
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20067884
Minimum19710929
Maximum20221129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:06.447368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710929
5-th percentile19931118
Q120001228
median20065670
Q320141013
95-th percentile20200624
Maximum20221129
Range510200
Interquartile range (IQR)139785.25

Descriptive statistics

Standard deviation90093.367
Coefficient of variation (CV)0.0044894304
Kurtosis0.10816351
Mean20067884
Median Absolute Deviation (MAD)65292
Skewness-0.33906053
Sum3.0021554 × 1010
Variance8.1168148 × 109
MonotonicityNot monotonic
2023-12-11T04:08:06.718351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021214 13
 
0.9%
20200408 6
 
0.4%
20200416 4
 
0.3%
20200331 4
 
0.3%
20120302 4
 
0.3%
20101117 3
 
0.2%
19981105 3
 
0.2%
19940524 3
 
0.2%
20070801 3
 
0.2%
20020318 3
 
0.2%
Other values (1280) 1450
96.9%
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 (%)
20221129 1
0.1%
20221121 1
0.1%
20221101 1
0.1%
20221027 1
0.1%
20220921 1
0.1%
20220914 1
0.1%
20220720 1
0.1%
20220706 1
0.1%
20220629 1
0.1%
20220620 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1496
Missing (%)100.0%
Memory size13.3 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
1
781 
3
626 
4
81 
2
 
8

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 (%)
1 781
52.2%
3 626
41.8%
4 81
 
5.4%
2 8
 
0.5%

Length

2023-12-11T04:08:06.978509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:08:07.176770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 781
52.2%
3 626
41.8%
4 81
 
5.4%
2 8
 
0.5%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
영업/정상
781 
폐업
626 
취소/말소/만료/정지/중지
81 
휴업
 
8

Length

Max length14
Median length5
Mean length4.2159091
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 781
52.2%
폐업 626
41.8%
취소/말소/만료/정지/중지 81
 
5.4%
휴업 8
 
0.5%

Length

2023-12-11T04:08:07.414076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:08:07.618238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 781
52.2%
폐업 626
41.8%
취소/말소/만료/정지/중지 81
 
5.4%
휴업 8
 
0.5%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
13
781 
3
625 
35
81 
2
 
8
34
 
1

Length

Max length2
Median length2
Mean length1.5768717
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 781
52.2%
3 625
41.8%
35 81
 
5.4%
2 8
 
0.5%
34 1
 
0.1%

Length

2023-12-11T04:08:07.794470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:08:07.989585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 781
52.2%
3 625
41.8%
35 81
 
5.4%
2 8
 
0.5%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
영업중
781 
폐업
625 
직권말소
81 
휴업
 
8
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.6323529
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 781
52.2%
폐업 625
41.8%
직권말소 81
 
5.4%
휴업 8
 
0.5%
영업장폐쇄 1
 
0.1%

Length

2023-12-11T04:08:08.192268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:08:08.396683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 781
52.2%
폐업 625
41.8%
직권말소 81
 
5.4%
휴업 8
 
0.5%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct584
Distinct (%)82.7%
Missing790
Missing (%)52.8%
Infinite0
Infinite (%)0.0%
Mean20134058
Minimum19980930
Maximum20221129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:08.647062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980930
5-th percentile20040408
Q120090903
median20140113
Q320181026
95-th percentile20210506
Maximum20221129
Range240199
Interquartile range (IQR)90122.75

Descriptive statistics

Standard deviation54179.168
Coefficient of variation (CV)0.0026909215
Kurtosis-0.97226959
Mean20134058
Median Absolute Deviation (MAD)48946
Skewness-0.25554576
Sum1.4214645 × 1010
Variance2.9353823 × 109
MonotonicityNot monotonic
2023-12-11T04:08:08.941056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130607 11
 
0.7%
20200723 8
 
0.5%
20190705 8
 
0.5%
20181026 5
 
0.3%
20130306 5
 
0.3%
20210115 5
 
0.3%
20190620 5
 
0.3%
20180905 5
 
0.3%
20080325 4
 
0.3%
20030430 4
 
0.3%
Other values (574) 646
43.2%
(Missing) 790
52.8%
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 (%)
20221129 1
0.1%
20221116 1
0.1%
20220902 1
0.1%
20220826 1
0.1%
20220728 1
0.1%
20220708 1
0.1%
20220701 1
0.1%
20220624 1
0.1%
20220616 1
0.1%
20220609 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing1488
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean20167929
Minimum20080324
Maximum20220215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:09.113859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080324
5-th percentile20080324
Q120155463
median20190503
Q320195728
95-th percentile20216682
Maximum20220215
Range139891
Interquartile range (IQR)40265.25

Descriptive statistics

Standard deviation55510.802
Coefficient of variation (CV)0.0027524295
Kurtosis-0.23241677
Mean20167929
Median Absolute Deviation (MAD)14806.5
Skewness-1.2131125
Sum1.6134343 × 108
Variance3.0814491 × 109
MonotonicityNot monotonic
2023-12-11T04:08:09.269790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20080324 2
 
0.1%
20190101 1
 
0.1%
20180509 1
 
0.1%
20190905 1
 
0.1%
20220215 1
 
0.1%
20190930 1
 
0.1%
20210122 1
 
0.1%
(Missing) 1488
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%
20220215 1
0.1%
ValueCountFrequency (%)
20220215 1
0.1%
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 

Distinct8
Distinct (%)100.0%
Missing1488
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean20197219
Minimum20080824
Maximum20261230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:09.434118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080824
5-th percentile20091466
Q120178731
median20220666
Q320240929
95-th percentile20254150
Maximum20261230
Range180406
Interquartile range (IQR)62198

Descriptive statistics

Standard deviation65444.337
Coefficient of variation (CV)0.0032402647
Kurtosis0.014282889
Mean20197219
Median Absolute Deviation (MAD)20287
Skewness-1.1941418
Sum1.6157775 × 108
Variance4.2829612 × 109
MonotonicityNot monotonic
2023-12-11T04:08:09.622733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20220101 1
 
0.1%
20201231 1
 
0.1%
20240905 1
 
0.1%
20261230 1
 
0.1%
20241001 1
 
0.1%
20221231 1
 
0.1%
20080824 1
 
0.1%
20111231 1
 
0.1%
(Missing) 1488
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%
20261230 1
0.1%
ValueCountFrequency (%)
20261230 1
0.1%
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 

Missing1496
Missing (%)100.0%
Memory size13.3 KiB

소재지전화
Text

MISSING 

Distinct1002
Distinct (%)94.6%
Missing437
Missing (%)29.2%
Memory size11.8 KiB
2023-12-11T04:08:09.976946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.091596
Min length4

Characters and Unicode

Total characters10687
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

Unique948 ?
Unique (%)89.5%

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%
053-981-9815 2
 
0.2%
053-629-1115 2
 
0.2%
053-764-7654 2
 
0.2%
053-614-6880 2
 
0.2%
053-651-3597 2
 
0.2%
053-766-2441 2
 
0.2%
791-9050 2
 
0.2%
Other values (994) 1039
97.7%
2023-12-11T04:08:10.540525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1588
14.9%
5 1583
14.8%
3 1420
13.3%
0 1080
10.1%
6 855
8.0%
2 801
7.5%
7 800
7.5%
1 738
6.9%
8 630
 
5.9%
9 605
 
5.7%
Other values (4) 587
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9092
85.1%
Dash Punctuation 1588
 
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 1583
17.4%
3 1420
15.6%
0 1080
11.9%
6 855
9.4%
2 801
8.8%
7 800
8.8%
1 738
8.1%
8 630
 
6.9%
9 605
 
6.7%
4 580
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 1588
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 10687
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1588
14.9%
5 1583
14.8%
3 1420
13.3%
0 1080
10.1%
6 855
8.0%
2 801
7.5%
7 800
7.5%
1 738
6.9%
8 630
 
5.9%
9 605
 
5.7%
Other values (4) 587
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10687
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1588
14.9%
5 1583
14.8%
3 1420
13.3%
0 1080
10.1%
6 855
8.0%
2 801
7.5%
7 800
7.5%
1 738
6.9%
8 630
 
5.9%
9 605
 
5.7%
Other values (4) 587
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1496
Missing (%)100.0%
Memory size13.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct361
Distinct (%)45.6%
Missing704
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean704764.86
Minimum700112
Maximum711873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:10.850285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700112
5-th percentile701529.35
Q1702876.75
median704820
Q3705818
95-th percentile711812
Maximum711873
Range11761
Interquartile range (IQR)2941.25

Descriptive statistics

Standard deviation2398.3104
Coefficient of variation (CV)0.0034029938
Kurtosis2.1682794
Mean704764.86
Median Absolute Deviation (MAD)1156
Skewness1.1602778
Sum5.5817377 × 108
Variance5751892.9
MonotonicityNot monotonic
2023-12-11T04:08:11.119969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
711812 13
 
0.9%
704803 12
 
0.8%
704936 11
 
0.7%
704808 10
 
0.7%
704902 9
 
0.6%
704941 8
 
0.5%
704830 8
 
0.5%
706808 8
 
0.5%
704837 7
 
0.5%
706140 7
 
0.5%
Other values (351) 699
46.7%
(Missing) 704
47.1%
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 

Distinct1401
Distinct (%)96.0%
Missing36
Missing (%)2.4%
Memory size11.8 KiB
2023-12-11T04:08:11.691996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length25.330137
Min length13

Characters and Unicode

Total characters36982
Distinct characters309
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

Unique1345 ?
Unique (%)92.1%

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 1460
 
20.6%
달서구 339
 
4.8%
북구 302
 
4.3%
수성구 257
 
3.6%
동구 200
 
2.8%
달성군 161
 
2.3%
2층 101
 
1.4%
서구 93
 
1.3%
3층 82
 
1.2%
남구 74
 
1.0%
Other values (1883) 4014
56.7%
2023-12-11T04:08:12.597045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6936
18.8%
구 2812
 
7.6%
동 1722
 
4.7%
1 1705
 
4.6%
대 1584
 
4.3%
시 1495
 
4.0%
역 1472
 
4.0%
광 1467
 
4.0%
지 1233
 
3.3%
2 1103
 
3.0%
Other values (299) 15453
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21105
57.1%
Decimal Number 7684
 
20.8%
Space Separator 6936
 
18.8%
Dash Punctuation 1080
 
2.9%
Other Punctuation 54
 
0.1%
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 2812
 
13.3%
동 1722
 
8.2%
대 1584
 
7.5%
시 1495
 
7.1%
역 1472
 
7.0%
광 1467
 
7.0%
지 1233
 
5.8%
번 1056
 
5.0%
성 581
 
2.8%
서 518
 
2.5%
Other values (267) 7165
33.9%
Decimal Number
ValueCountFrequency (%)
1 1705
22.2%
2 1103
14.4%
3 890
11.6%
0 815
10.6%
4 657
 
8.6%
5 631
 
8.2%
6 488
 
6.4%
8 480
 
6.2%
7 476
 
6.2%
9 439
 
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 (%)
, 44
81.5%
/ 6
 
11.1%
. 2
 
3.7%
@ 1
 
1.9%
· 1
 
1.9%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
+ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
6936
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1080
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 21104
57.1%
Common 15847
42.9%
Latin 30
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2812
 
13.3%
동 1722
 
8.2%
대 1584
 
7.5%
시 1495
 
7.1%
역 1472
 
7.0%
광 1467
 
7.0%
지 1233
 
5.8%
번 1056
 
5.0%
성 581
 
2.8%
서 518
 
2.5%
Other values (266) 7164
33.9%
Common
ValueCountFrequency (%)
6936
43.8%
1 1705
 
10.8%
2 1103
 
7.0%
- 1080
 
6.8%
3 890
 
5.6%
0 815
 
5.1%
4 657
 
4.1%
5 631
 
4.0%
6 488
 
3.1%
8 480
 
3.0%
Other values (11) 1062
 
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 21104
57.1%
ASCII 15876
42.9%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6936
43.7%
1 1705
 
10.7%
2 1103
 
6.9%
- 1080
 
6.8%
3 890
 
5.6%
0 815
 
5.1%
4 657
 
4.1%
5 631
 
4.0%
6 488
 
3.1%
8 480
 
3.0%
Other values (21) 1091
 
6.9%
Hangul
ValueCountFrequency (%)
구 2812
 
13.3%
동 1722
 
8.2%
대 1584
 
7.5%
시 1495
 
7.1%
역 1472
 
7.0%
광 1467
 
7.0%
지 1233
 
5.8%
번 1056
 
5.0%
성 581
 
2.8%
서 518
 
2.5%
Other values (266) 7164
33.9%
CJK
ValueCountFrequency (%)
箚 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1433
Distinct (%)97.8%
Missing31
Missing (%)2.1%
Memory size11.8 KiB
2023-12-11T04:08:13.265324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length55
Mean length30.245051
Min length20

Characters and Unicode

Total characters44309
Distinct characters340
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

Unique1401 ?
Unique (%)95.6%

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 1465
 
16.7%
달서구 357
 
4.1%
북구 302
 
3.4%
수성구 256
 
2.9%
동구 198
 
2.3%
2층 156
 
1.8%
달성군 156
 
1.8%
3층 119
 
1.4%
서구 95
 
1.1%
4층 86
 
1.0%
Other values (1824) 5591
63.7%
2023-12-11T04:08:14.162496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7645
 
17.3%
구 2957
 
6.7%
동 1949
 
4.4%
대 1814
 
4.1%
시 1511
 
3.4%
역 1497
 
3.4%
광 1474
 
3.3%
로 1435
 
3.2%
1 1409
 
3.2%
( 1391
 
3.1%
Other values (330) 21227
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25294
57.1%
Space Separator 7645
 
17.3%
Decimal Number 7126
 
16.1%
Open Punctuation 1391
 
3.1%
Close Punctuation 1391
 
3.1%
Other Punctuation 1248
 
2.8%
Dash Punctuation 166
 
0.4%
Uppercase Letter 33
 
0.1%
Math Symbol 10
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2957
 
11.7%
동 1949
 
7.7%
대 1814
 
7.2%
시 1511
 
6.0%
역 1497
 
5.9%
광 1474
 
5.8%
로 1435
 
5.7%
성 662
 
2.6%
층 634
 
2.5%
서 626
 
2.5%
Other values (297) 10735
42.4%
Uppercase Letter
ValueCountFrequency (%)
B 10
30.3%
A 7
21.2%
H 3
 
9.1%
T 3
 
9.1%
P 2
 
6.1%
L 2
 
6.1%
K 2
 
6.1%
M 1
 
3.0%
F 1
 
3.0%
U 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 1409
19.8%
2 1314
18.4%
3 920
12.9%
0 858
12.0%
4 658
9.2%
5 597
8.4%
6 446
 
6.3%
7 356
 
5.0%
9 286
 
4.0%
8 282
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1233
98.8%
. 8
 
0.6%
/ 5
 
0.4%
@ 1
 
0.1%
· 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 9
90.0%
+ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
7645
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1391
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1391
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25293
57.1%
Common 18977
42.8%
Latin 38
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2957
 
11.7%
동 1949
 
7.7%
대 1814
 
7.2%
시 1511
 
6.0%
역 1497
 
5.9%
광 1474
 
5.8%
로 1435
 
5.7%
성 662
 
2.6%
층 634
 
2.5%
서 626
 
2.5%
Other values (296) 10734
42.4%
Common
ValueCountFrequency (%)
7645
40.3%
1 1409
 
7.4%
( 1391
 
7.3%
) 1391
 
7.3%
2 1314
 
6.9%
, 1233
 
6.5%
3 920
 
4.8%
0 858
 
4.5%
4 658
 
3.5%
5 597
 
3.1%
Other values (11) 1561
 
8.2%
Latin
ValueCountFrequency (%)
B 10
26.3%
A 7
18.4%
e 5
13.2%
H 3
 
7.9%
T 3
 
7.9%
P 2
 
5.3%
L 2
 
5.3%
K 2
 
5.3%
M 1
 
2.6%
F 1
 
2.6%
Other values (2) 2
 
5.3%
Han
ValueCountFrequency (%)
箚 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25293
57.1%
ASCII 19014
42.9%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7645
40.2%
1 1409
 
7.4%
( 1391
 
7.3%
) 1391
 
7.3%
2 1314
 
6.9%
, 1233
 
6.5%
3 920
 
4.8%
0 858
 
4.5%
4 658
 
3.5%
5 597
 
3.1%
Other values (22) 1598
 
8.4%
Hangul
ValueCountFrequency (%)
구 2957
 
11.7%
동 1949
 
7.7%
대 1814
 
7.2%
시 1511
 
6.0%
역 1497
 
5.9%
광 1474
 
5.8%
로 1435
 
5.7%
성 662
 
2.6%
층 634
 
2.5%
서 626
 
2.5%
Other values (296) 10734
42.4%
CJK
ValueCountFrequency (%)
箚 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct511
Distinct (%)55.1%
Missing568
Missing (%)38.0%
Infinite0
Infinite (%)0.0%
Mean80555.918
Minimum41002
Maximum711812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:14.409333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41086.35
Q141450
median42113
Q342761.25
95-th percentile701828.95
Maximum711812
Range670810
Interquartile range (IQR)1311.25

Descriptive statistics

Standard deviation155141.55
Coefficient of variation (CV)1.9258864
Kurtosis12.319815
Mean80555.918
Median Absolute Deviation (MAD)657
Skewness3.7805809
Sum74755892
Variance2.40689 × 1010
MonotonicityNot monotonic
2023-12-11T04:08:14.653317image/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 9
 
0.6%
43008 8
 
0.5%
41493 8
 
0.5%
43018 8
 
0.5%
43017 7
 
0.5%
41443 7
 
0.5%
42918 7
 
0.5%
42113 6
 
0.4%
Other values (501) 846
56.6%
(Missing) 568
38.0%
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

Distinct1434
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2023-12-11T04:08:15.029296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length8.0013369
Min length2

Characters and Unicode

Total characters11970
Distinct characters473
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

Unique1379 ?
Unique (%)92.2%

Sample

1st row무덕관 대구시본관
2nd row월드권투체육관
3rd row계명태권도장
4th row계명태권도장
5th row태권도까치장원도장
ValueCountFrequency (%)
태권도장 175
 
7.6%
태권도 107
 
4.6%
계명대 74
 
3.2%
용인대 33
 
1.4%
합기도 28
 
1.2%
체육관 22
 
1.0%
태권스쿨 14
 
0.6%
i 9
 
0.4%
국가대표 9
 
0.4%
2관 9
 
0.4%
Other values (1505) 1833
79.2%
2023-12-11T04:08:15.560600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 1189
 
9.9%
태 1068
 
8.9%
권 1042
 
8.7%
817
 
6.8%
장 447
 
3.7%
관 438
 
3.7%
대 334
 
2.8%
육 267
 
2.2%
체 261
 
2.2%
명 165
 
1.4%
Other values (463) 5942
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10659
89.0%
Space Separator 817
 
6.8%
Uppercase Letter 258
 
2.2%
Decimal Number 91
 
0.8%
Lowercase Letter 66
 
0.6%
Close Punctuation 28
 
0.2%
Open Punctuation 27
 
0.2%
Other Punctuation 21
 
0.2%
Dash Punctuation 2
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1189
 
11.2%
태 1068
 
10.0%
권 1042
 
9.8%
장 447
 
4.2%
관 438
 
4.1%
대 334
 
3.1%
육 267
 
2.5%
체 261
 
2.4%
명 165
 
1.5%
스 155
 
1.5%
Other values (406) 5293
49.7%
Uppercase Letter
ValueCountFrequency (%)
A 32
12.4%
T 27
10.5%
M 24
 
9.3%
I 22
 
8.5%
N 21
 
8.1%
C 16
 
6.2%
P 13
 
5.0%
E 13
 
5.0%
O 12
 
4.7%
K 12
 
4.7%
Other values (13) 66
25.6%
Lowercase Letter
ValueCountFrequency (%)
e 11
16.7%
i 11
16.7%
m 6
9.1%
l 5
7.6%
a 5
7.6%
o 4
 
6.1%
h 3
 
4.5%
s 3
 
4.5%
r 3
 
4.5%
w 3
 
4.5%
Other values (7) 12
18.2%
Decimal Number
ValueCountFrequency (%)
2 50
54.9%
1 14
 
15.4%
3 11
 
12.1%
5 6
 
6.6%
8 4
 
4.4%
7 2
 
2.2%
9 2
 
2.2%
6 1
 
1.1%
4 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 11
52.4%
& 9
42.9%
, 1
 
4.8%
Space Separator
ValueCountFrequency (%)
817
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10658
89.0%
Common 987
 
8.2%
Latin 324
 
2.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1189
 
11.2%
태 1068
 
10.0%
권 1042
 
9.8%
장 447
 
4.2%
관 438
 
4.1%
대 334
 
3.1%
육 267
 
2.5%
체 261
 
2.4%
명 165
 
1.5%
스 155
 
1.5%
Other values (405) 5292
49.7%
Latin
ValueCountFrequency (%)
A 32
 
9.9%
T 27
 
8.3%
M 24
 
7.4%
I 22
 
6.8%
N 21
 
6.5%
C 16
 
4.9%
P 13
 
4.0%
E 13
 
4.0%
O 12
 
3.7%
K 12
 
3.7%
Other values (30) 132
40.7%
Common
ValueCountFrequency (%)
817
82.8%
2 50
 
5.1%
) 28
 
2.8%
( 27
 
2.7%
1 14
 
1.4%
. 11
 
1.1%
3 11
 
1.1%
& 9
 
0.9%
5 6
 
0.6%
8 4
 
0.4%
Other values (7) 10
 
1.0%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10658
89.0%
ASCII 1310
 
10.9%
Punctuation 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 1189
 
11.2%
태 1068
 
10.0%
권 1042
 
9.8%
장 447
 
4.2%
관 438
 
4.1%
대 334
 
3.1%
육 267
 
2.5%
체 261
 
2.4%
명 165
 
1.5%
스 155
 
1.5%
Other values (405) 5292
49.7%
ASCII
ValueCountFrequency (%)
817
62.4%
2 50
 
3.8%
A 32
 
2.4%
) 28
 
2.1%
T 27
 
2.1%
( 27
 
2.1%
M 24
 
1.8%
I 22
 
1.7%
N 21
 
1.6%
C 16
 
1.2%
Other values (46) 246
 
18.8%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1496
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0167258 × 1013
Minimum2.0021214 × 1013
Maximum2.022113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:15.767724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021214 × 1013
5-th percentile2.0060842 × 1013
Q12.0140813 × 1013
median2.0190312 × 1013
Q32.0200916 × 1013
95-th percentile2.0220503 × 1013
Maximum2.022113 × 1013
Range1.99916 × 1011
Interquartile range (IQR)6.0103496 × 1010

Descriptive statistics

Standard deviation4.9511289 × 1010
Coefficient of variation (CV)0.0024550333
Kurtosis0.22073513
Mean2.0167258 × 1013
Median Absolute Deviation (MAD)2.0500043 × 1010
Skewness-1.1036976
Sum3.0170218 × 1016
Variance2.4513678 × 1021
MonotonicityNot monotonic
2023-12-11T04:08:16.010554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181224112211 1
 
0.1%
20180730102528 1
 
0.1%
20190729103242 1
 
0.1%
20170628095113 1
 
0.1%
20200109174006 1
 
0.1%
20190620114409 1
 
0.1%
20190705133923 1
 
0.1%
20180730102140 1
 
0.1%
20190705133527 1
 
0.1%
20190620114643 1
 
0.1%
Other values (1486) 1486
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 (%)
20221130093407 1
0.1%
20221129171019 1
0.1%
20221129143422 1
0.1%
20221128173740 1
0.1%
20221123143112 1
0.1%
20221122114325 1
0.1%
20221122114246 1
0.1%
20221122111448 1
0.1%
20221121115412 1
0.1%
20221116142548 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
I
798 
U
698 

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 798
53.3%
U 698
46.7%

Length

2023-12-11T04:08:16.251577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:08:16.405214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 798
53.3%
u 698
46.7%

데이터갱신일자
Date

Distinct423
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-02 02:40:00
2023-12-11T04:08:16.574198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:08:16.791621image/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 size11.8 KiB
태권도
666 
<NA>
569 
권투
95 
합기도
80 
유도
 
38
Other values (3)
 
48

Length

Max length4
Median length3.5
Mean length3.2606952
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 666
44.5%
<NA> 569
38.0%
권투 95
 
6.4%
합기도 80
 
5.3%
유도 38
 
2.5%
검도 37
 
2.5%
우슈 9
 
0.6%
레슬링 2
 
0.1%

Length

2023-12-11T04:08:17.045208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:08:17.230215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태권도 666
44.5%
na 569
38.0%
권투 95
 
6.4%
합기도 80
 
5.3%
유도 38
 
2.5%
검도 37
 
2.5%
우슈 9
 
0.6%
레슬링 2
 
0.1%

좌표정보(X)
Real number (ℝ)

Distinct1232
Distinct (%)83.1%
Missing13
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean342405.99
Minimum327433.97
Maximum357933.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:17.406752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327433.97
5-th percentile332150.05
Q1338511.72
median341580.18
Q3346328.17
95-th percentile354207.89
Maximum357933.24
Range30499.269
Interquartile range (IQR)7816.4468

Descriptive statistics

Standard deviation6068.0847
Coefficient of variation (CV)0.0177219
Kurtosis-0.18748595
Mean342405.99
Median Absolute Deviation (MAD)4075.1837
Skewness0.20020913
Sum5.0778808 × 108
Variance36821652
MonotonicityNot monotonic
2023-12-11T04:08:17.940380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339230.845140453 4
 
0.3%
356310.91765893 4
 
0.3%
340273.190840684 4
 
0.3%
348154.531222516 3
 
0.2%
347585.728376592 3
 
0.2%
345660.693883854 3
 
0.2%
354384.426572907 3
 
0.2%
336129.059852975 3
 
0.2%
339707.871256606 3
 
0.2%
340631.442112588 3
 
0.2%
Other values (1222) 1450
96.9%
(Missing) 13
 
0.9%
ValueCountFrequency (%)
327433.969056986 1
0.1%
327434.27418042 1
0.1%
327767.774887735 1
0.1%
327811.761116979 1
0.1%
327853.173808645 1
0.1%
328069.657841271 1
0.1%
328183.920892314 1
0.1%
328270.061481478 2
0.1%
328307.681490331 1
0.1%
328325.875377771 1
0.1%
ValueCountFrequency (%)
357933.237728742 1
 
0.1%
357908.123249657 1
 
0.1%
357867.135304704 2
0.1%
356548.114071857 1
 
0.1%
356437.392326278 1
 
0.1%
356410.892344199 1
 
0.1%
356353.915440362 1
 
0.1%
356310.91765893 4
0.3%
356142.765211698 2
0.1%
356129.784534988 2
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct1232
Distinct (%)83.1%
Missing13
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean263056.92
Minimum240358.72
Maximum273712.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:18.144731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240358.72
5-th percentile256386.85
Q1260690.34
median263107.17
Q3265897.36
95-th percentile271973.25
Maximum273712.08
Range33353.36
Interquartile range (IQR)5207.0183

Descriptive statistics

Standard deviation5413.2156
Coefficient of variation (CV)0.020578115
Kurtosis3.4496055
Mean263056.92
Median Absolute Deviation (MAD)2632.4599
Skewness-1.0671549
Sum3.9011342 × 108
Variance29302904
MonotonicityNot monotonic
2023-12-11T04:08:18.341009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261410.555121064 4
 
0.3%
264295.293905556 4
 
0.3%
272329.344510931 4
 
0.3%
259261.053684204 3
 
0.2%
270415.790440543 3
 
0.2%
262826.216058908 3
 
0.2%
261760.798799355 3
 
0.2%
262677.37122031 3
 
0.2%
261247.857555626 3
 
0.2%
257515.538181227 3
 
0.2%
Other values (1222) 1450
96.9%
(Missing) 13
 
0.9%
ValueCountFrequency (%)
240358.722944009 1
 
0.1%
240365.716050201 1
 
0.1%
240473.571874223 3
0.2%
240482.809934877 1
 
0.1%
240485.785927166 2
0.1%
240491.096812813 1
 
0.1%
240496.083286429 1
 
0.1%
240899.421415258 1
 
0.1%
240929.601040558 1
 
0.1%
241185.67699335 1
 
0.1%
ValueCountFrequency (%)
273712.08248913 1
 
0.1%
273589.424447926 1
 
0.1%
273584.927184579 2
0.1%
273549.424517431 1
 
0.1%
273544.247323898 1
 
0.1%
273287.318216073 2
0.1%
273215.64707818 1
 
0.1%
273154.517512889 3
0.2%
273141.838525595 1
 
0.1%
273134.589051241 1
 
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
체육도장업
1496 

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 1496
100.0%

Length

2023-12-11T04:08:18.509174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:08:18.614542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1496
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
사립
1493 
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 1493
99.8%
공립 3
 
0.2%

Length

2023-12-11T04:08:18.745144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:08:18.876472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1493
99.8%
공립 3
 
0.2%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1206 
0
283 
Y
 
7

Length

Max length4
Median length4
Mean length3.4184492
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> 1206
80.6%
0 283
 
18.9%
Y 7
 
0.5%

Length

2023-12-11T04:08:19.007403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:08:19.119599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1206
80.6%
0 283
 
18.9%
y 7
 
0.5%

지도자수
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
766 
1
557 
0
161 
2
 
12

Length

Max length4
Median length4
Mean length2.5360963
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> 766
51.2%
1 557
37.2%
0 161
 
10.8%
2 12
 
0.8%

Length

2023-12-11T04:08:19.258683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:08:19.404377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 766
51.2%
1 557
37.2%
0 161
 
10.8%
2 12
 
0.8%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.9%
Missing1174
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean0.77639752
Minimum0
Maximum122
Zeros199
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:19.554554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum122
Range122
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.7988227
Coefficient of variation (CV)8.7568836
Kurtosis317.76633
Mean0.77639752
Median Absolute Deviation (MAD)0
Skewness17.768477
Sum250
Variance46.223989
MonotonicityNot monotonic
2023-12-11T04:08:19.705530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 199
 
13.3%
1 119
 
8.0%
4 1
 
0.1%
122 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
(Missing) 1174
78.5%
ValueCountFrequency (%)
0 199
13.3%
1 119
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%
1 119
8.0%
0 199
13.3%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct442
Distinct (%)71.6%
Missing879
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean842.49914
Minimum0
Maximum22199.95
Zeros150
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:19.875116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q174.25
median262.39
Q3969.98
95-th percentile3680.016
Maximum22199.95
Range22199.95
Interquartile range (IQR)895.73

Descriptive statistics

Standard deviation1682.5303
Coefficient of variation (CV)1.9970706
Kurtosis55.679516
Mean842.49914
Median Absolute Deviation (MAD)262.39
Skewness5.9363388
Sum519821.97
Variance2830908.1
MonotonicityNot monotonic
2023-12-11T04:08:20.027273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 150
 
10.0%
99.0 7
 
0.5%
2316.89 2
 
0.1%
742.5 2
 
0.1%
118.26 2
 
0.1%
4540.17 2
 
0.1%
4995.48 2
 
0.1%
940.17 2
 
0.1%
1979.36 2
 
0.1%
1841.28 2
 
0.1%
Other values (432) 444
29.7%
(Missing) 879
58.8%
ValueCountFrequency (%)
0.0 150
10.0%
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 (%)3.6%
Missing1271
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean3.9822222
Minimum0
Maximum100
Zeros204
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-11T04:08:20.140468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.875712
Coefficient of variation (CV)3.4844144
Kurtosis19.081378
Mean3.9822222
Median Absolute Deviation (MAD)0
Skewness4.1260585
Sum896
Variance192.5354
MonotonicityNot monotonic
2023-12-11T04:08:20.279229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 204
 
13.6%
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) 1271
85.0%
ValueCountFrequency (%)
0 204
13.6%
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%
0 204
13.6%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1496
Missing (%)100.0%
Memory size13.3 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1496
Missing (%)100.0%
Memory size13.3 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(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><NA><NA>체육도장업사립<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><NA><NA>체육도장업사립0<NA><NA>186.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
14861487체육도장업10_41_01_P3480000CDFH330102200900000620091203<NA>3폐업3폐업20151207<NA><NA><NA>070-7792-2586<NA>711838대구광역시 달성군 화원읍 본리리 109-2번지 5층대구광역시 달성군 화원읍 성암로1길 9 (5층)<NA>세별 키즈 스포츠클럽20151207171624I2018-08-31 23:59:59.0<NA>336379.890528256806.566319체육도장업사립<NA>1<NA><NA><NA><NA><NA>
14871488체육도장업10_41_01_P3480000CDFH330102200900000720091217<NA>3폐업3폐업20130419<NA><NA><NA>053-591-0025<NA>711812대구광역시 달성군 다사읍 매곡리 491번지 4층대구광역시 달성군 다사읍 다사역로 39 (4층)<NA>드림태권도배움터20130419170229I2018-08-31 23:59:59.0<NA>331597.649165263824.496118체육도장업사립<NA>1<NA><NA>80<NA><NA>
14881489체육도장업10_41_01_P3480000CDFH330102200000001120000602<NA>3폐업3폐업20190801<NA><NA><NA>636-8022<NA>711832대구광역시 달성군 화원읍 명곡리 택지개발지구 준주거용지 제7호<NA><NA>신일태권도20190801133313U2019-08-03 02:40:00.0태권도<NA><NA>체육도장업사립<NA><NA><NA>115.7<NA><NA><NA>
14891490체육도장업10_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>
14901491체육도장업10_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>
14911492체육도장업10_41_01_P3480000CDFH330102201900000120190305<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡리 876 협성휴포레·죽곡대구광역시 달성군 다사읍 달구벌대로174길 50, 301동 401호 (협성휴포레·죽곡)42915예담 태권도장20220506141332U2022-05-08 02:40:00.0태권도331836.336854263114.004828체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
14921493체육도장업10_41_01_P3480000CDFH330102202200000320220420<NA>1영업/정상13영업중<NA><NA><NA><NA>053-583-7529<NA><NA>대구광역시 달성군 다사읍 죽곡리 824-1대구광역시 달성군 다사읍 대실역남로2길 20, 2층42920계명대 가람태권도장220220420141515I2022-04-22 00:22:33.0태권도332497.476208262303.989687체육도장업사립<NA>10283.00<NA><NA>
14931494체육도장업10_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>
14941495체육도장업10_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 02:20:25.0권투331432.713792244561.674165체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
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