Overview

Dataset statistics

Number of variables37
Number of observations1490
Missing cells16397
Missing cells (%)29.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory462.8 KiB
Average record size in memory318.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported5
DateTime1

Dataset

Description22년08월_6270000_대구광역시_10_41_01_P_체육도장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094291&dataSetDetailId=DDI_0000094331&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 (53.1%)Imbalance
인허가취소일자 has 1490 (100.0%) missing valuesMissing
폐업일자 has 787 (52.8%) missing valuesMissing
휴업시작일자 has 1482 (99.5%) missing valuesMissing
휴업종료일자 has 1482 (99.5%) missing valuesMissing
재개업일자 has 1490 (100.0%) missing valuesMissing
소재지전화 has 424 (28.5%) missing valuesMissing
소재지면적 has 1490 (100.0%) missing valuesMissing
소재지우편번호 has 697 (46.8%) missing valuesMissing
소재지전체주소 has 36 (2.4%) missing valuesMissing
도로명전체주소 has 31 (2.1%) missing valuesMissing
도로명우편번호 has 568 (38.1%) missing valuesMissing
좌표정보(X) has 33 (2.2%) missing valuesMissing
좌표정보(Y) has 33 (2.2%) missing valuesMissing
건축물동수 has 1192 (80.0%) missing valuesMissing
건축물연면적 has 893 (59.9%) missing valuesMissing
회원모집총인원 has 1289 (86.5%) missing valuesMissing
세부업종명 has 1490 (100.0%) missing valuesMissing
법인명 has 1490 (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 175 (11.7%) zerosZeros
건축물연면적 has 131 (8.8%) zerosZeros
회원모집총인원 has 180 (12.1%) zerosZeros

Reproduction

Analysis started2024-04-18 01:59:18.967665
Analysis finished2024-04-18 01:59:19.765414
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1490
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean745.5
Minimum1
Maximum1490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:19.819485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile75.45
Q1373.25
median745.5
Q31117.75
95-th percentile1415.55
Maximum1490
Range1489
Interquartile range (IQR)744.5

Descriptive statistics

Standard deviation430.27026
Coefficient of variation (CV)0.57715662
Kurtosis-1.2
Mean745.5
Median Absolute Deviation (MAD)372.5
Skewness0
Sum1110795
Variance185132.5
MonotonicityStrictly increasing
2024-04-18T10:59:19.928398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
992 1
 
0.1%
1001 1
 
0.1%
1000 1
 
0.1%
999 1
 
0.1%
998 1
 
0.1%
997 1
 
0.1%
996 1
 
0.1%
995 1
 
0.1%
994 1
 
0.1%
Other values (1480) 1480
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 (%)
1490 1
0.1%
1489 1
0.1%
1488 1
0.1%
1487 1
0.1%
1486 1
0.1%
1485 1
0.1%
1484 1
0.1%
1483 1
0.1%
1482 1
0.1%
1481 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
체육도장업
1490 

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 1490
100.0%

Length

2024-04-18T10:59:20.666680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:59:20.741961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1490
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
10_41_01_P
1490 

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 1490
100.0%

Length

2024-04-18T10:59:20.818547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:59:20.909978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_41_01_p 1490
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453114.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:20.994191image/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 deviation19817.004
Coefficient of variation (CV)0.0057388789
Kurtosis-0.78293552
Mean3453114.1
Median Absolute Deviation (MAD)10000
Skewness-0.55821381
Sum5.14514 × 109
Variance3.9271364 × 108
MonotonicityIncreasing
2024-04-18T10:59:21.088974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 359
24.1%
3450000 304
20.4%
3460000 259
17.4%
3420000 199
13.4%
3480000 164
11.0%
3430000 95
 
6.4%
3440000 74
 
5.0%
3410000 36
 
2.4%
ValueCountFrequency (%)
3410000 36
 
2.4%
3420000 199
13.4%
3430000 95
 
6.4%
3440000 74
 
5.0%
3450000 304
20.4%
3460000 259
17.4%
3470000 359
24.1%
3480000 164
11.0%
ValueCountFrequency (%)
3480000 164
11.0%
3470000 359
24.1%
3460000 259
17.4%
3450000 304
20.4%
3440000 74
 
5.0%
3430000 95
 
6.4%
3420000 199
13.4%
3410000 36
 
2.4%

관리번호
Text

Distinct474
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-04-18T10:59:21.236996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters29800
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%
cdfh3301022020000003 8
 
0.5%
cdfh3301022020000001 8
 
0.5%
cdfh3301022020000002 8
 
0.5%
cdfh3301022014000001 8
 
0.5%
cdfh3301022010000002 8
 
0.5%
cdfh3301022005000001 8
 
0.5%
cdfh3301022005000002 8
 
0.5%
cdfh3301022008000001 8
 
0.5%
cdfh3301022015000001 8
 
0.5%
Other values (464) 1410
94.6%
2024-04-18T10:59:21.503761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12201
40.9%
3 3300
 
11.1%
2 3217
 
10.8%
1 2931
 
9.8%
C 1490
 
5.0%
D 1490
 
5.0%
F 1490
 
5.0%
H 1490
 
5.0%
9 809
 
2.7%
4 307
 
1.0%
Other values (4) 1075
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23840
80.0%
Uppercase Letter 5960
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12201
51.2%
3 3300
 
13.8%
2 3217
 
13.5%
1 2931
 
12.3%
9 809
 
3.4%
4 307
 
1.3%
5 290
 
1.2%
7 265
 
1.1%
8 262
 
1.1%
6 258
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 1490
25.0%
D 1490
25.0%
F 1490
25.0%
H 1490
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23840
80.0%
Latin 5960
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12201
51.2%
3 3300
 
13.8%
2 3217
 
13.5%
1 2931
 
12.3%
9 809
 
3.4%
4 307
 
1.3%
5 290
 
1.2%
7 265
 
1.1%
8 262
 
1.1%
6 258
 
1.1%
Latin
ValueCountFrequency (%)
C 1490
25.0%
D 1490
25.0%
F 1490
25.0%
H 1490
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12201
40.9%
3 3300
 
11.1%
2 3217
 
10.8%
1 2931
 
9.8%
C 1490
 
5.0%
D 1490
 
5.0%
F 1490
 
5.0%
H 1490
 
5.0%
9 809
 
2.7%
4 307
 
1.0%
Other values (4) 1075
 
3.6%

인허가일자
Real number (ℝ)

Distinct1284
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20067267
Minimum19710929
Maximum20220720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:21.625026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710929
5-th percentile19931115
Q120001148
median20061216
Q320140828
95-th percentile20200526
Maximum20220720
Range509791
Interquartile range (IQR)139680

Descriptive statistics

Standard deviation89747.569
Coefficient of variation (CV)0.0044723365
Kurtosis0.12513963
Mean20067267
Median Absolute Deviation (MAD)68955.5
Skewness-0.34378684
Sum2.9900228 × 1010
Variance8.0546261 × 109
MonotonicityNot monotonic
2024-04-18T10:59:21.743645image/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%
20120302 4
 
0.3%
20200331 4
 
0.3%
20200414 3
 
0.2%
19981105 3
 
0.2%
19940524 3
 
0.2%
20090520 3
 
0.2%
20070801 3
 
0.2%
Other values (1274) 1444
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 (%)
20220720 1
0.1%
20220706 1
0.1%
20220629 1
0.1%
20220620 1
0.1%
20220516 1
0.1%
20220420 1
0.1%
20220418 1
0.1%
20220414 1
0.1%
20220405 1
0.1%
20220328 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1490
Missing (%)100.0%
Memory size13.2 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
1
778 
3
623 
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 (%)
1 778
52.2%
3 623
41.8%
4 81
 
5.4%
2 8
 
0.5%

Length

2024-04-18T10:59:21.848389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:59:21.935486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 778
52.2%
3 623
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
778 
폐업
623 
취소/말소/만료/정지/중지
81 
휴업
 
8

Length

Max length14
Median length5
Mean length4.2187919
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 778
52.2%
폐업 623
41.8%
취소/말소/만료/정지/중지 81
 
5.4%
휴업 8
 
0.5%

Length

2024-04-18T10:59:22.033894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:59:22.123465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 778
52.2%
폐업 623
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
778 
3
622 
35
81 
2
 
8
34
 
1

Length

Max length2
Median length2
Mean length1.5771812
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 778
52.2%
3 622
41.7%
35 81
 
5.4%
2 8
 
0.5%
34 1
 
0.1%

Length

2024-04-18T10:59:22.239118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:59:22.331103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 778
52.2%
3 622
41.7%
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
778 
폐업
622 
직권말소
81 
휴업
 
8
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.6328859
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 778
52.2%
폐업 622
41.7%
직권말소 81
 
5.4%
휴업 8
 
0.5%
영업장폐쇄 1
 
0.1%

Length

2024-04-18T10:59:22.425660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:59:22.523113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 778
52.2%
폐업 622
41.7%
직권말소 81
 
5.4%
휴업 8
 
0.5%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct581
Distinct (%)82.6%
Missing787
Missing (%)52.8%
Infinite0
Infinite (%)0.0%
Mean20133686
Minimum19980930
Maximum20220826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:22.624063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980930
5-th percentile20040408
Q120090866
median20131223
Q320180976
95-th percentile20210426
Maximum20220826
Range239896
Interquartile range (IQR)90111

Descriptive statistics

Standard deviation53994.896
Coefficient of variation (CV)0.0026818187
Kurtosis-0.97183127
Mean20133686
Median Absolute Deviation (MAD)49298
Skewness-0.25651487
Sum1.4153981 × 1010
Variance2.9154488 × 109
MonotonicityNot monotonic
2024-04-18T10:59:22.736193image/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%
20130306 5
 
0.3%
20190620 5
 
0.3%
20181026 5
 
0.3%
20180905 5
 
0.3%
20210115 5
 
0.3%
20120228 4
 
0.3%
20170718 4
 
0.3%
Other values (571) 643
43.2%
(Missing) 787
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 (%)
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%
20220519 1
0.1%
20220512 2
0.1%
20220503 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing1482
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean20167929
Minimum20080324
Maximum20220215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:22.827433image/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
2024-04-18T10:59:22.912750image/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) 1482
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%
Missing1482
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean20197219
Minimum20080824
Maximum20261230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:23.012448image/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
2024-04-18T10:59:23.108455image/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) 1482
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 

Missing1490
Missing (%)100.0%
Memory size13.2 KiB

소재지전화
Text

MISSING 

Distinct1009
Distinct (%)94.7%
Missing424
Missing (%)28.5%
Memory size11.8 KiB
2024-04-18T10:59:23.296855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.089118
Min length4

Characters and Unicode

Total characters10755
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

Unique955 ?
Unique (%)89.6%

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%
053-794-0775 2
 
0.2%
053-583-7529 2
 
0.2%
762-3732 2
 
0.2%
959-5523 2
 
0.2%
791-9050 2
 
0.2%
053-423-6062 2
 
0.2%
636-8022 2
 
0.2%
Other values (1001) 1046
97.8%
2024-04-18T10:59:23.602314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1598
14.9%
5 1591
14.8%
3 1432
13.3%
0 1090
10.1%
6 861
8.0%
2 807
7.5%
7 800
7.4%
1 740
6.9%
8 634
 
5.9%
9 612
 
5.7%
Other values (4) 590
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9150
85.1%
Dash Punctuation 1598
 
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 1591
17.4%
3 1432
15.7%
0 1090
11.9%
6 861
9.4%
2 807
8.8%
7 800
8.7%
1 740
8.1%
8 634
 
6.9%
9 612
 
6.7%
4 583
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 1598
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 10755
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1598
14.9%
5 1591
14.8%
3 1432
13.3%
0 1090
10.1%
6 861
8.0%
2 807
7.5%
7 800
7.4%
1 740
6.9%
8 634
 
5.9%
9 612
 
5.7%
Other values (4) 590
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10755
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1598
14.9%
5 1591
14.8%
3 1432
13.3%
0 1090
10.1%
6 861
8.0%
2 807
7.5%
7 800
7.4%
1 740
6.9%
8 634
 
5.9%
9 612
 
5.7%
Other values (4) 590
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1490
Missing (%)100.0%
Memory size13.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct362
Distinct (%)45.6%
Missing697
Missing (%)46.8%
Infinite0
Infinite (%)0.0%
Mean704766.13
Minimum700112
Maximum711873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:23.718935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700112
5-th percentile701550.2
Q1702877
median704820
Q3705818
95-th percentile711812
Maximum711873
Range11761
Interquartile range (IQR)2941

Descriptive statistics

Standard deviation2397.0627
Coefficient of variation (CV)0.0034012172
Kurtosis2.1700527
Mean704766.13
Median Absolute Deviation (MAD)1120
Skewness1.15912
Sum5.5887954 × 108
Variance5745909.5
MonotonicityNot monotonic
2024-04-18T10:59:23.831012image/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%
704838 7
 
0.5%
704837 7
 
0.5%
Other values (352) 700
47.0%
(Missing) 697
46.8%
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 

Distinct1395
Distinct (%)95.9%
Missing36
Missing (%)2.4%
Memory size11.8 KiB
2024-04-18T10:59:24.112112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length25.370014
Min length13

Characters and Unicode

Total characters36888
Distinct characters307
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

Unique1339 ?
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 1454
 
20.6%
달서구 337
 
4.8%
북구 301
 
4.3%
수성구 257
 
3.6%
동구 199
 
2.8%
달성군 159
 
2.3%
2층 101
 
1.4%
서구 93
 
1.3%
3층 83
 
1.2%
남구 74
 
1.0%
Other values (1873) 3996
56.6%
2024-04-18T10:59:24.536124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6907
18.7%
구 2799
 
7.6%
동 1716
 
4.7%
1 1695
 
4.6%
대 1576
 
4.3%
시 1488
 
4.0%
역 1465
 
4.0%
광 1460
 
4.0%
지 1257
 
3.4%
2 1108
 
3.0%
Other values (297) 15417
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21058
57.1%
Decimal Number 7670
 
20.8%
Space Separator 6907
 
18.7%
Dash Punctuation 1076
 
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 2799
 
13.3%
동 1716
 
8.1%
대 1576
 
7.5%
시 1488
 
7.1%
역 1465
 
7.0%
광 1460
 
6.9%
지 1257
 
6.0%
번 1080
 
5.1%
성 576
 
2.7%
서 516
 
2.5%
Other values (265) 7125
33.8%
Decimal Number
ValueCountFrequency (%)
1 1695
22.1%
2 1108
14.4%
3 892
11.6%
0 813
10.6%
4 655
 
8.5%
5 628
 
8.2%
6 487
 
6.3%
7 475
 
6.2%
8 475
 
6.2%
9 442
 
5.8%
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%
H 1
 
4.0%
M 1
 
4.0%
U 1
 
4.0%
L 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 (%)
6907
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1076
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 21057
57.1%
Common 15800
42.8%
Latin 30
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2799
 
13.3%
동 1716
 
8.1%
대 1576
 
7.5%
시 1488
 
7.1%
역 1465
 
7.0%
광 1460
 
6.9%
지 1257
 
6.0%
번 1080
 
5.1%
성 576
 
2.7%
서 516
 
2.5%
Other values (264) 7124
33.8%
Common
ValueCountFrequency (%)
6907
43.7%
1 1695
 
10.7%
2 1108
 
7.0%
- 1076
 
6.8%
3 892
 
5.6%
0 813
 
5.1%
4 655
 
4.1%
5 628
 
4.0%
6 487
 
3.1%
7 475
 
3.0%
Other values (11) 1064
 
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%
H 1
 
3.3%
M 1
 
3.3%
U 1
 
3.3%
Han
ValueCountFrequency (%)
箚 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21057
57.1%
ASCII 15829
42.9%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6907
43.6%
1 1695
 
10.7%
2 1108
 
7.0%
- 1076
 
6.8%
3 892
 
5.6%
0 813
 
5.1%
4 655
 
4.1%
5 628
 
4.0%
6 487
 
3.1%
7 475
 
3.0%
Other values (21) 1093
 
6.9%
Hangul
ValueCountFrequency (%)
구 2799
 
13.3%
동 1716
 
8.1%
대 1576
 
7.5%
시 1488
 
7.1%
역 1465
 
7.0%
광 1460
 
6.9%
지 1257
 
6.0%
번 1080
 
5.1%
성 576
 
2.7%
서 516
 
2.5%
Other values (264) 7124
33.8%
CJK
ValueCountFrequency (%)
箚 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1427
Distinct (%)97.8%
Missing31
Missing (%)2.1%
Memory size11.8 KiB
2024-04-18T10:59:24.851570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length55
Mean length30.176148
Min length20

Characters and Unicode

Total characters44027
Distinct characters338
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

Unique1395 ?
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 1459
 
16.7%
달서구 355
 
4.1%
북구 301
 
3.4%
수성구 256
 
2.9%
동구 197
 
2.3%
2층 155
 
1.8%
달성군 154
 
1.8%
3층 115
 
1.3%
서구 95
 
1.1%
4층 84
 
1.0%
Other values (1814) 5555
63.7%
2024-04-18T10:59:25.300575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7597
 
17.3%
구 2944
 
6.7%
동 1938
 
4.4%
대 1805
 
4.1%
시 1504
 
3.4%
역 1490
 
3.4%
광 1467
 
3.3%
로 1430
 
3.2%
1 1399
 
3.2%
) 1388
 
3.2%
Other values (328) 21065
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25145
57.1%
Space Separator 7597
 
17.3%
Decimal Number 7065
 
16.0%
Close Punctuation 1388
 
3.2%
Open Punctuation 1388
 
3.2%
Other Punctuation 1230
 
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 2944
 
11.7%
동 1938
 
7.7%
대 1805
 
7.2%
시 1504
 
6.0%
역 1490
 
5.9%
광 1467
 
5.8%
로 1430
 
5.7%
성 657
 
2.6%
층 627
 
2.5%
서 624
 
2.5%
Other values (295) 10659
42.4%
Uppercase Letter
ValueCountFrequency (%)
B 10
30.3%
A 7
21.2%
H 3
 
9.1%
T 3
 
9.1%
K 2
 
6.1%
P 2
 
6.1%
L 2
 
6.1%
M 1
 
3.0%
S 1
 
3.0%
F 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 1399
19.8%
2 1304
18.5%
3 905
12.8%
0 844
11.9%
4 652
9.2%
5 599
8.5%
6 444
 
6.3%
7 351
 
5.0%
9 284
 
4.0%
8 283
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1215
98.8%
. 8
 
0.7%
/ 5
 
0.4%
@ 1
 
0.1%
· 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 9
90.0%
+ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
7597
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1388
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1388
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25144
57.1%
Common 18844
42.8%
Latin 38
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2944
 
11.7%
동 1938
 
7.7%
대 1805
 
7.2%
시 1504
 
6.0%
역 1490
 
5.9%
광 1467
 
5.8%
로 1430
 
5.7%
성 657
 
2.6%
층 627
 
2.5%
서 624
 
2.5%
Other values (294) 10658
42.4%
Common
ValueCountFrequency (%)
7597
40.3%
1 1399
 
7.4%
) 1388
 
7.4%
( 1388
 
7.4%
2 1304
 
6.9%
, 1215
 
6.4%
3 905
 
4.8%
0 844
 
4.5%
4 652
 
3.5%
5 599
 
3.2%
Other values (11) 1553
 
8.2%
Latin
ValueCountFrequency (%)
B 10
26.3%
A 7
18.4%
e 5
13.2%
H 3
 
7.9%
T 3
 
7.9%
K 2
 
5.3%
P 2
 
5.3%
L 2
 
5.3%
M 1
 
2.6%
S 1
 
2.6%
Other values (2) 2
 
5.3%
Han
ValueCountFrequency (%)
箚 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25144
57.1%
ASCII 18881
42.9%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7597
40.2%
1 1399
 
7.4%
) 1388
 
7.4%
( 1388
 
7.4%
2 1304
 
6.9%
, 1215
 
6.4%
3 905
 
4.8%
0 844
 
4.5%
4 652
 
3.5%
5 599
 
3.2%
Other values (22) 1590
 
8.4%
Hangul
ValueCountFrequency (%)
구 2944
 
11.7%
동 1938
 
7.7%
대 1805
 
7.2%
시 1504
 
6.0%
역 1490
 
5.9%
광 1467
 
5.8%
로 1430
 
5.7%
성 657
 
2.6%
층 627
 
2.5%
서 624
 
2.5%
Other values (294) 10658
42.4%
CJK
ValueCountFrequency (%)
箚 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct509
Distinct (%)55.2%
Missing568
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean80804.717
Minimum41002
Maximum711812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:25.416114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41086.05
Q141451
median42109
Q342761
95-th percentile701853.85
Maximum711812
Range670810
Interquartile range (IQR)1310

Descriptive statistics

Standard deviation155615.27
Coefficient of variation (CV)1.9258192
Kurtosis12.209009
Mean80804.717
Median Absolute Deviation (MAD)653.5
Skewness3.7659074
Sum74501949
Variance2.4216113 × 1010
MonotonicityNot monotonic
2024-04-18T10:59:25.531358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41026 13
 
0.9%
42974 9
 
0.6%
41493 8
 
0.5%
43008 8
 
0.5%
41423 8
 
0.5%
43018 8
 
0.5%
41443 7
 
0.5%
43017 7
 
0.5%
42761 6
 
0.4%
42113 6
 
0.4%
Other values (499) 842
56.5%
(Missing) 568
38.1%
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

Distinct1430
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-04-18T10:59:25.769454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length8.0053691
Min length2

Characters and Unicode

Total characters11928
Distinct characters471
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

Unique1377 ?
Unique (%)92.4%

Sample

1st row무덕관 대구시본관
2nd row월드권투체육관
3rd row계명태권도장
4th row계명태권도장
5th row태권도까치장원도장
ValueCountFrequency (%)
태권도장 172
 
7.5%
태권도 104
 
4.5%
계명대 74
 
3.2%
용인대 33
 
1.4%
합기도 28
 
1.2%
체육관 22
 
1.0%
태권스쿨 14
 
0.6%
i 9
 
0.4%
2관 9
 
0.4%
국가대표 9
 
0.4%
Other values (1502) 1824
79.4%
2024-04-18T10:59:26.106145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 1184
 
9.9%
태 1065
 
8.9%
권 1038
 
8.7%
808
 
6.8%
장 441
 
3.7%
관 440
 
3.7%
대 335
 
2.8%
육 270
 
2.3%
체 264
 
2.2%
명 165
 
1.4%
Other values (461) 5918
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10626
89.1%
Space Separator 808
 
6.8%
Uppercase Letter 256
 
2.1%
Decimal Number 93
 
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 1184
 
11.1%
태 1065
 
10.0%
권 1038
 
9.8%
장 441
 
4.2%
관 440
 
4.1%
대 335
 
3.2%
육 270
 
2.5%
체 264
 
2.5%
명 165
 
1.6%
스 156
 
1.5%
Other values (404) 5268
49.6%
Uppercase Letter
ValueCountFrequency (%)
A 32
12.5%
T 27
10.5%
M 24
 
9.4%
I 22
 
8.6%
N 21
 
8.2%
C 16
 
6.2%
P 13
 
5.1%
E 13
 
5.1%
O 12
 
4.7%
K 12
 
4.7%
Other values (13) 64
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 11
16.7%
i 11
16.7%
m 6
9.1%
a 5
7.6%
l 5
7.6%
o 4
 
6.1%
s 3
 
4.5%
w 3
 
4.5%
r 3
 
4.5%
n 3
 
4.5%
Other values (7) 12
18.2%
Decimal Number
ValueCountFrequency (%)
2 51
54.8%
1 14
 
15.1%
3 11
 
11.8%
5 6
 
6.5%
8 4
 
4.3%
7 3
 
3.2%
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 (%)
808
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 10625
89.1%
Common 980
 
8.2%
Latin 322
 
2.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1184
 
11.1%
태 1065
 
10.0%
권 1038
 
9.8%
장 441
 
4.2%
관 440
 
4.1%
대 335
 
3.2%
육 270
 
2.5%
체 264
 
2.5%
명 165
 
1.6%
스 156
 
1.5%
Other values (403) 5267
49.6%
Latin
ValueCountFrequency (%)
A 32
 
9.9%
T 27
 
8.4%
M 24
 
7.5%
I 22
 
6.8%
N 21
 
6.5%
C 16
 
5.0%
P 13
 
4.0%
E 13
 
4.0%
O 12
 
3.7%
K 12
 
3.7%
Other values (30) 130
40.4%
Common
ValueCountFrequency (%)
808
82.4%
2 51
 
5.2%
) 28
 
2.9%
( 27
 
2.8%
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) 11
 
1.1%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10625
89.1%
ASCII 1301
 
10.9%
Punctuation 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 1184
 
11.1%
태 1065
 
10.0%
권 1038
 
9.8%
장 441
 
4.2%
관 440
 
4.1%
대 335
 
3.2%
육 270
 
2.5%
체 264
 
2.5%
명 165
 
1.6%
스 156
 
1.5%
Other values (403) 5267
49.6%
ASCII
ValueCountFrequency (%)
808
62.1%
2 51
 
3.9%
A 32
 
2.5%
) 28
 
2.2%
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) 245
 
18.8%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1490
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.016655 × 1013
Minimum2.0021214 × 1013
Maximum2.0220826 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:26.221138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021214 × 1013
5-th percentile2.0060757 × 1013
Q12.0140751 × 1013
median2.019021 × 1013
Q32.020071 × 1013
95-th percentile2.0220209 × 1013
Maximum2.0220826 × 1013
Range1.9961202 × 1011
Interquartile range (IQR)5.9959524 × 1010

Descriptive statistics

Standard deviation4.9141218 × 1010
Coefficient of variation (CV)0.0024367687
Kurtosis0.23904334
Mean2.016655 × 1013
Median Absolute Deviation (MAD)2.0509926 × 1010
Skewness-1.1138009
Sum3.0048159 × 1016
Variance2.4148593 × 1021
MonotonicityNot monotonic
2024-04-18T10:59:26.336729image/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 (1480) 1480
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 (%)
20220826110550 1
0.1%
20220822181302 1
0.1%
20220822082110 1
0.1%
20220810144055 1
0.1%
20220810143751 1
0.1%
20220810143651 1
0.1%
20220810143614 1
0.1%
20220810143204 1
0.1%
20220810143118 1
0.1%
20220810141956 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
I
800 
U
690 

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 800
53.7%
U 690
46.3%

Length

2024-04-18T10:59:26.452705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:59:26.533283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 800
53.7%
u 690
46.3%

데이터갱신일자
Date

Distinct402
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum2018-08-31 23:59:59
Maximum2022-08-28 02:40:00
2024-04-18T10:59:26.624698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T10:59:26.737721image/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
663 
<NA>
569 
권투
93 
합기도
79 
유도
 
38
Other values (3)
 
48

Length

Max length4
Median length3
Mean length3.2630872
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 663
44.5%
<NA> 569
38.2%
권투 93
 
6.2%
합기도 79
 
5.3%
유도 38
 
2.6%
검도 37
 
2.5%
우슈 9
 
0.6%
레슬링 2
 
0.1%

Length

2024-04-18T10:59:26.853558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:59:26.955841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태권도 663
44.5%
na 569
38.2%
권투 93
 
6.2%
합기도 79
 
5.3%
유도 38
 
2.6%
검도 37
 
2.5%
우슈 9
 
0.6%
레슬링 2
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1211
Distinct (%)83.1%
Missing33
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean342445.2
Minimum327434.27
Maximum357933.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:27.056041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327434.27
5-th percentile332193.7
Q1338552.9
median341610.87
Q3346378.42
95-th percentile354224.57
Maximum357933.24
Range30498.964
Interquartile range (IQR)7825.5253

Descriptive statistics

Standard deviation6030.3441
Coefficient of variation (CV)0.017609662
Kurtosis-0.1685756
Mean342445.2
Median Absolute Deviation (MAD)3964.4011
Skewness0.21116695
Sum4.9894265 × 108
Variance36365050
MonotonicityNot monotonic
2024-04-18T10:59:27.161827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339230.84514 4
 
0.3%
356310.917659 4
 
0.3%
340273.190841 4
 
0.3%
347544.089245 3
 
0.2%
347585.728377 3
 
0.2%
345660.693884 3
 
0.2%
354384.426573 3
 
0.2%
336129.059853 3
 
0.2%
339707.871257 3
 
0.2%
340631.442113 3
 
0.2%
Other values (1201) 1424
95.6%
(Missing) 33
 
2.2%
ValueCountFrequency (%)
327434.27418 1
0.1%
327767.774888 1
0.1%
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%
328325.875378 1
0.1%
328448.0 1
0.1%
ValueCountFrequency (%)
357933.237729 1
 
0.1%
357908.12325 1
 
0.1%
357867.135305 2
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 

Distinct1209
Distinct (%)83.0%
Missing33
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean263092.65
Minimum240358.72
Maximum273712.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:27.282149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240358.72
5-th percentile256636.54
Q1260733.9
median263107.17
Q3265868.68
95-th percentile271895.24
Maximum273712.08
Range33353.36
Interquartile range (IQR)5134.7803

Descriptive statistics

Standard deviation5309.5939
Coefficient of variation (CV)0.020181461
Kurtosis3.5649786
Mean263092.65
Median Absolute Deviation (MAD)2580.5798
Skewness-1.053824
Sum3.8332599 × 108
Variance28191787
MonotonicityNot monotonic
2024-04-18T10:59:27.399091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261410.555121 4
 
0.3%
264295.293906 4
 
0.3%
272329.344511 4
 
0.3%
259261.053684 3
 
0.2%
270415.790441 3
 
0.2%
262826.216059 3
 
0.2%
261760.798799 3
 
0.2%
262677.37122 3
 
0.2%
261247.857556 3
 
0.2%
257515.538181 3
 
0.2%
Other values (1199) 1424
95.6%
(Missing) 33
 
2.2%
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%
240496.083286 1
 
0.1%
240899.421415 1
 
0.1%
240929.601041 1
 
0.1%
ValueCountFrequency (%)
273712.082489 1
 
0.1%
273589.424448 1
 
0.1%
273584.927185 2
0.1%
273555.904935 1
 
0.1%
273544.873847 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%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
체육도장업
1490 

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 1490
100.0%

Length

2024-04-18T10:59:27.533402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:59:27.618753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1490
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
사립
1487 
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 1487
99.8%
공립 3
 
0.2%

Length

2024-04-18T10:59:27.708175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:59:27.796397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1487
99.8%
공립 3
 
0.2%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1200 
0
283 
Y
 
7

Length

Max length4
Median length4
Mean length3.4161074
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> 1200
80.5%
0 283
 
19.0%
Y 7
 
0.5%

Length

2024-04-18T10:59:27.883562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:59:27.968517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1200
80.5%
0 283
 
19.0%
y 7
 
0.5%

지도자수
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
781 
1
555 
0
142 
2
 
12

Length

Max length4
Median length4
Mean length2.5724832
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> 781
52.4%
1 555
37.2%
0 142
 
9.5%
2 12
 
0.8%

Length

2024-04-18T10:59:28.060874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:59:28.160792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 781
52.4%
1 555
37.2%
0 142
 
9.5%
2 12
 
0.8%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.0%
Missing1192
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean0.83892617
Minimum0
Maximum122
Zeros175
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:28.256003image/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 deviation7.0644623
Coefficient of variation (CV)8.4208391
Kurtosis294.24125
Mean0.83892617
Median Absolute Deviation (MAD)0
Skewness17.100372
Sum250
Variance49.906628
MonotonicityNot monotonic
2024-04-18T10:59:28.348461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 175
 
11.7%
1 119
 
8.0%
4 1
 
0.1%
122 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
(Missing) 1192
80.0%
ValueCountFrequency (%)
0 175
11.7%
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%
0 175
11.7%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct441
Distinct (%)73.9%
Missing893
Missing (%)59.9%
Infinite0
Infinite (%)0.0%
Mean856.3159
Minimum0
Maximum22199.95
Zeros131
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:28.450090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q190.86
median316.78
Q3974.1
95-th percentile3680.016
Maximum22199.95
Range22199.95
Interquartile range (IQR)883.24

Descriptive statistics

Standard deviation1687.3734
Coefficient of variation (CV)1.9705035
Kurtosis56.604509
Mean856.3159
Median Absolute Deviation (MAD)316.78
Skewness6.0066397
Sum511220.59
Variance2847229.1
MonotonicityNot monotonic
2024-04-18T10:59:28.555966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 131
 
8.8%
99.0 7
 
0.5%
742.5 2
 
0.1%
4540.17 2
 
0.1%
4995.48 2
 
0.1%
1979.36 2
 
0.1%
3884.67 2
 
0.1%
1166.27 2
 
0.1%
2672.79 2
 
0.1%
341.93 2
 
0.1%
Other values (431) 443
29.7%
(Missing) 893
59.9%
ValueCountFrequency (%)
0.0 131
8.8%
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 (%)4.0%
Missing1289
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean4.4577114
Minimum0
Maximum100
Zeros180
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T10:59:28.649266image/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 deviation14.611963
Coefficient of variation (CV)3.2779068
Kurtosis16.646681
Mean4.4577114
Median Absolute Deviation (MAD)0
Skewness3.8653075
Sum896
Variance213.50945
MonotonicityNot monotonic
2024-04-18T10:59:28.750853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 180
 
12.1%
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) 1289
86.5%
ValueCountFrequency (%)
0 180
12.1%
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%
0 180
12.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1490
Missing (%)100.0%
Memory size13.2 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1490
Missing (%)100.0%
Memory size13.2 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>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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
14801481체육도장업10_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>
14811482체육도장업10_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>
14821483체육도장업10_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>
14831484체육도장업10_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>
14841485체육도장업10_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>
14851486체육도장업10_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 02:40:00.0태권도<NA><NA>체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
14861487체육도장업10_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>
14871488체육도장업10_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>
14881489체육도장업10_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>
14891490체육도장업10_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>