Overview

Dataset statistics

Number of variables37
Number of observations1486
Missing cells16385
Missing cells (%)29.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory461.6 KiB
Average record size in memory318.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported5
DateTime1

Dataset

Description22년06월_6270000_대구광역시_10_41_01_P_체육도장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093751&dataSetDetailId=DDI_0000093793&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 (53.0%)Imbalance
인허가취소일자 has 1486 (100.0%) missing valuesMissing
폐업일자 has 787 (53.0%) missing valuesMissing
휴업시작일자 has 1478 (99.5%) missing valuesMissing
휴업종료일자 has 1478 (99.5%) missing valuesMissing
재개업일자 has 1486 (100.0%) missing valuesMissing
소재지전화 has 420 (28.3%) missing valuesMissing
소재지면적 has 1486 (100.0%) missing valuesMissing
소재지우편번호 has 695 (46.8%) missing valuesMissing
소재지전체주소 has 36 (2.4%) missing valuesMissing
도로명전체주소 has 31 (2.1%) missing valuesMissing
도로명우편번호 has 567 (38.2%) missing valuesMissing
좌표정보(X) has 33 (2.2%) missing valuesMissing
좌표정보(Y) has 33 (2.2%) missing valuesMissing
건축물동수 has 1200 (80.8%) missing valuesMissing
건축물연면적 has 898 (60.4%) missing valuesMissing
회원모집총인원 has 1299 (87.4%) missing valuesMissing
세부업종명 has 1486 (100.0%) missing valuesMissing
법인명 has 1486 (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 163 (11.0%) zerosZeros
건축물연면적 has 122 (8.2%) zerosZeros
회원모집총인원 has 166 (11.2%) zerosZeros

Reproduction

Analysis started2024-04-18 03:56:43.937348
Analysis finished2024-04-18 03:56:44.760686
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1486
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean743.5
Minimum1
Maximum1486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:44.825997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile75.25
Q1372.25
median743.5
Q31114.75
95-th percentile1411.75
Maximum1486
Range1485
Interquartile range (IQR)742.5

Descriptive statistics

Standard deviation429.11556
Coefficient of variation (CV)0.5771561
Kurtosis-1.2
Mean743.5
Median Absolute Deviation (MAD)371.5
Skewness0
Sum1104841
Variance184140.17
MonotonicityStrictly increasing
2024-04-18T12:56:44.982590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
989 1
 
0.1%
998 1
 
0.1%
997 1
 
0.1%
996 1
 
0.1%
995 1
 
0.1%
994 1
 
0.1%
993 1
 
0.1%
992 1
 
0.1%
991 1
 
0.1%
Other values (1476) 1476
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 (%)
1486 1
0.1%
1485 1
0.1%
1484 1
0.1%
1483 1
0.1%
1482 1
0.1%
1481 1
0.1%
1480 1
0.1%
1479 1
0.1%
1478 1
0.1%
1477 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
체육도장업
1486 

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 1486
100.0%

Length

2024-04-18T12:56:45.106712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:56:45.193856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1486
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
10_41_01_P
1486 

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 1486
100.0%

Length

2024-04-18T12:56:45.284919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:56:45.372190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_41_01_p 1486
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453149.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:45.454584image/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 deviation19821.779
Coefficient of variation (CV)0.0057402031
Kurtosis-0.77772874
Mean3453149.4
Median Absolute Deviation (MAD)10000
Skewness-0.56235948
Sum5.13138 × 109
Variance3.9290292 × 108
MonotonicityIncreasing
2024-04-18T12:56:45.559021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 359
24.2%
3450000 304
20.5%
3460000 258
17.4%
3420000 199
13.4%
3480000 164
11.0%
3430000 93
 
6.3%
3440000 73
 
4.9%
3410000 36
 
2.4%
ValueCountFrequency (%)
3410000 36
 
2.4%
3420000 199
13.4%
3430000 93
 
6.3%
3440000 73
 
4.9%
3450000 304
20.5%
3460000 258
17.4%
3470000 359
24.2%
3480000 164
11.0%
ValueCountFrequency (%)
3480000 164
11.0%
3470000 359
24.2%
3460000 258
17.4%
3450000 304
20.5%
3440000 73
 
4.9%
3430000 93
 
6.3%
3420000 199
13.4%
3410000 36
 
2.4%

관리번호
Text

Distinct474
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2024-04-18T12:56:45.734792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters29720
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

Unique142 ?
Unique (%)9.6%

Sample

1st rowCDFH3301022002000001
2nd rowCDFH3301022002000014
3rd rowCDFH3301022005000001
4th rowCDFH3301022005000002
5th rowCDFH3301022002000010
ValueCountFrequency (%)
cdfh3301022002000001 8
 
0.5%
cdfh3301022020000003 8
 
0.5%
cdfh3301022020000001 8
 
0.5%
cdfh3301022020000002 8
 
0.5%
cdfh3301022014000001 8
 
0.5%
cdfh3301022015000001 8
 
0.5%
cdfh3301022005000002 8
 
0.5%
cdfh3301022005000001 8
 
0.5%
cdfh3301022008000001 8
 
0.5%
cdfh3301022010000002 8
 
0.5%
Other values (464) 1406
94.6%
2024-04-18T12:56:46.042083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12168
40.9%
3 3291
 
11.1%
2 3202
 
10.8%
1 2926
 
9.8%
C 1486
 
5.0%
D 1486
 
5.0%
F 1486
 
5.0%
H 1486
 
5.0%
9 809
 
2.7%
4 305
 
1.0%
Other values (4) 1075
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23776
80.0%
Uppercase Letter 5944
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12168
51.2%
3 3291
 
13.8%
2 3202
 
13.5%
1 2926
 
12.3%
9 809
 
3.4%
4 305
 
1.3%
5 290
 
1.2%
7 265
 
1.1%
8 262
 
1.1%
6 258
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 1486
25.0%
D 1486
25.0%
F 1486
25.0%
H 1486
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23776
80.0%
Latin 5944
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12168
51.2%
3 3291
 
13.8%
2 3202
 
13.5%
1 2926
 
12.3%
9 809
 
3.4%
4 305
 
1.3%
5 290
 
1.2%
7 265
 
1.1%
8 262
 
1.1%
6 258
 
1.1%
Latin
ValueCountFrequency (%)
C 1486
25.0%
D 1486
25.0%
F 1486
25.0%
H 1486
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12168
40.9%
3 3291
 
11.1%
2 3202
 
10.8%
1 2926
 
9.8%
C 1486
 
5.0%
D 1486
 
5.0%
F 1486
 
5.0%
H 1486
 
5.0%
9 809
 
2.7%
4 305
 
1.0%
Other values (4) 1075
 
3.6%

인허가일자
Real number (ℝ)

Distinct1280
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20067050
Minimum19710929
Maximum20220629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:46.185490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710929
5-th percentile19931113
Q120001122
median20061167
Q320140824
95-th percentile20200521
Maximum20220629
Range509700
Interquartile range (IQR)139701.5

Descriptive statistics

Standard deviation89675.748
Coefficient of variation (CV)0.0044688058
Kurtosis0.12857831
Mean20067050
Median Absolute Deviation (MAD)69004.5
Skewness-0.34511462
Sum2.9819636 × 1010
Variance8.0417398 × 109
MonotonicityNot monotonic
2024-04-18T12:56:46.316951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021214 13
 
0.9%
20200408 6
 
0.4%
20120302 4
 
0.3%
20200416 4
 
0.3%
20200331 4
 
0.3%
20200323 3
 
0.2%
20090210 3
 
0.2%
20090403 3
 
0.2%
20110921 3
 
0.2%
20200325 3
 
0.2%
Other values (1270) 1440
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 (%)
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%
20220224 1
0.1%
20220209 2
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1486
Missing (%)100.0%
Memory size13.2 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
1
778 
3
619 
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
52.4%
3 619
41.7%
4 81
 
5.5%
2 8
 
0.5%

Length

2024-04-18T12:56:46.451114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:56:46.547356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 778
52.4%
3 619
41.7%
4 81
 
5.5%
2 8
 
0.5%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
영업/정상
778 
폐업
619 
취소/말소/만료/정지/중지
81 
휴업
 
8

Length

Max length14
Median length5
Mean length4.2247645
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
52.4%
폐업 619
41.7%
취소/말소/만료/정지/중지 81
 
5.5%
휴업 8
 
0.5%

Length

2024-04-18T12:56:46.658116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:56:46.759717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 778
52.4%
폐업 619
41.7%
취소/말소/만료/정지/중지 81
 
5.5%
휴업 8
 
0.5%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
13
778 
3
618 
35
81 
2
 
8
34
 
1

Length

Max length2
Median length2
Mean length1.5787349
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 778
52.4%
3 618
41.6%
35 81
 
5.5%
2 8
 
0.5%
34 1
 
0.1%

Length

2024-04-18T12:56:46.883319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:56:46.989640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 778
52.4%
3 618
41.6%
35 81
 
5.5%
2 8
 
0.5%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
영업중
778 
폐업
618 
직권말소
81 
휴업
 
8
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.6345895
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 778
52.4%
폐업 618
41.6%
직권말소 81
 
5.5%
휴업 8
 
0.5%
영업장폐쇄 1
 
0.1%

Length

2024-04-18T12:56:47.113707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:56:47.215697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 778
52.4%
폐업 618
41.6%
직권말소 81
 
5.5%
휴업 8
 
0.5%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct577
Distinct (%)82.5%
Missing787
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean20133188
Minimum19980930
Maximum20220624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:47.330169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980930
5-th percentile20040399
Q120090816
median20131101
Q320180908
95-th percentile20210402
Maximum20220624
Range239694
Interquartile range (IQR)90092

Descriptive statistics

Standard deviation53744.563
Coefficient of variation (CV)0.0026694512
Kurtosis-0.97152852
Mean20133188
Median Absolute Deviation (MAD)49404
Skewness-0.25814701
Sum1.4073099 × 1010
Variance2.888478 × 109
MonotonicityNot monotonic
2024-04-18T12:56:48.249669image/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%
20180905 5
 
0.3%
20210115 5
 
0.3%
20190620 5
 
0.3%
20181026 5
 
0.3%
20080325 4
 
0.3%
20030430 4
 
0.3%
Other values (567) 639
43.0%
(Missing) 787
53.0%
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 (%)
20220624 1
0.1%
20220616 1
0.1%
20220609 1
0.1%
20220519 1
0.1%
20220512 2
0.1%
20220503 1
0.1%
20220322 1
0.1%
20220321 1
0.1%
20220318 1
0.1%
20220308 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing1478
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean20167929
Minimum20080324
Maximum20220215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:48.351449image/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
2024-04-18T12:56:48.449607image/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) 1478
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%
Missing1478
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean20197219
Minimum20080824
Maximum20261230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:48.554111image/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
2024-04-18T12:56:48.656318image/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) 1478
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 

Missing1486
Missing (%)100.0%
Memory size13.2 KiB

소재지전화
Text

MISSING 

Distinct1009
Distinct (%)94.7%
Missing420
Missing (%)28.3%
Memory size11.7 KiB
2024-04-18T12:56:48.869405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.092871
Min length4

Characters and Unicode

Total characters10759
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%
053-783-2722 2
 
0.2%
291-9222 2
 
0.2%
053-617-7775 2
 
0.2%
053-631-8983 2
 
0.2%
352-3773 2
 
0.2%
323-9683 2
 
0.2%
957-5448 2
 
0.2%
Other values (1001) 1046
97.8%
2024-04-18T12:56:49.231562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1599
14.9%
5 1592
14.8%
3 1432
13.3%
0 1091
10.1%
6 861
8.0%
2 809
7.5%
7 799
7.4%
1 742
6.9%
8 633
 
5.9%
9 611
 
5.7%
Other values (4) 590
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9153
85.1%
Dash Punctuation 1599
 
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 1592
17.4%
3 1432
15.6%
0 1091
11.9%
6 861
9.4%
2 809
8.8%
7 799
8.7%
1 742
8.1%
8 633
 
6.9%
9 611
 
6.7%
4 583
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 1599
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 10759
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1599
14.9%
5 1592
14.8%
3 1432
13.3%
0 1091
10.1%
6 861
8.0%
2 809
7.5%
7 799
7.4%
1 742
6.9%
8 633
 
5.9%
9 611
 
5.7%
Other values (4) 590
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10759
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1599
14.9%
5 1592
14.8%
3 1432
13.3%
0 1091
10.1%
6 861
8.0%
2 809
7.5%
7 799
7.4%
1 742
6.9%
8 633
 
5.9%
9 611
 
5.7%
Other values (4) 590
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1486
Missing (%)100.0%
Memory size13.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct362
Distinct (%)45.8%
Missing695
Missing (%)46.8%
Infinite0
Infinite (%)0.0%
Mean704768.53
Minimum700112
Maximum711873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:49.376600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700112
5-th percentile701508.5
Q1702876.5
median704820
Q3705818
95-th percentile711812
Maximum711873
Range11761
Interquartile range (IQR)2941.5

Descriptive statistics

Standard deviation2399.6191
Coefficient of variation (CV)0.003404833
Kurtosis2.1564281
Mean704768.53
Median Absolute Deviation (MAD)1192
Skewness1.1555025
Sum5.574719 × 108
Variance5758171.9
MonotonicityNot monotonic
2024-04-18T12:56:49.507899image/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%
704838 7
 
0.5%
Other values (352) 698
47.0%
(Missing) 695
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 

Distinct1391
Distinct (%)95.9%
Missing36
Missing (%)2.4%
Memory size11.7 KiB
2024-04-18T12:56:49.834007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length25.391034
Min length13

Characters and Unicode

Total characters36817
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

Unique1335 ?
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 1450
 
20.6%
달서구 337
 
4.8%
북구 301
 
4.3%
수성구 256
 
3.6%
동구 199
 
2.8%
달성군 159
 
2.3%
2층 100
 
1.4%
서구 91
 
1.3%
3층 83
 
1.2%
남구 73
 
1.0%
Other values (1867) 3988
56.7%
2024-04-18T12:56:50.317165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6890
18.7%
구 2791
 
7.6%
동 1712
 
4.7%
1 1691
 
4.6%
대 1571
 
4.3%
시 1484
 
4.0%
역 1461
 
4.0%
광 1456
 
4.0%
지 1263
 
3.4%
2 1104
 
3.0%
Other values (297) 15394
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21027
57.1%
Decimal Number 7651
 
20.8%
Space Separator 6890
 
18.7%
Dash Punctuation 1072
 
2.9%
Other Punctuation 54
 
0.1%
Close Punctuation 44
 
0.1%
Open 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 2791
 
13.3%
동 1712
 
8.1%
대 1571
 
7.5%
시 1484
 
7.1%
역 1461
 
6.9%
광 1456
 
6.9%
지 1263
 
6.0%
번 1086
 
5.2%
성 575
 
2.7%
서 514
 
2.4%
Other values (265) 7114
33.8%
Decimal Number
ValueCountFrequency (%)
1 1691
22.1%
2 1104
14.4%
3 887
11.6%
0 812
10.6%
4 655
 
8.6%
5 628
 
8.2%
6 486
 
6.4%
7 474
 
6.2%
8 473
 
6.2%
9 441
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
A 7
28.0%
B 6
24.0%
T 3
12.0%
K 2
 
8.0%
P 2
 
8.0%
F 1
 
4.0%
M 1
 
4.0%
H 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 (%)
6890
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1072
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21026
57.1%
Common 15760
42.8%
Latin 30
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2791
 
13.3%
동 1712
 
8.1%
대 1571
 
7.5%
시 1484
 
7.1%
역 1461
 
6.9%
광 1456
 
6.9%
지 1263
 
6.0%
번 1086
 
5.2%
성 575
 
2.7%
서 514
 
2.4%
Other values (264) 7113
33.8%
Common
ValueCountFrequency (%)
6890
43.7%
1 1691
 
10.7%
2 1104
 
7.0%
- 1072
 
6.8%
3 887
 
5.6%
0 812
 
5.2%
4 655
 
4.2%
5 628
 
4.0%
6 486
 
3.1%
7 474
 
3.0%
Other values (11) 1061
 
6.7%
Latin
ValueCountFrequency (%)
A 7
23.3%
B 6
20.0%
e 5
16.7%
T 3
10.0%
K 2
 
6.7%
P 2
 
6.7%
F 1
 
3.3%
M 1
 
3.3%
H 1
 
3.3%
U 1
 
3.3%
Han
ValueCountFrequency (%)
箚 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21026
57.1%
ASCII 15789
42.9%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6890
43.6%
1 1691
 
10.7%
2 1104
 
7.0%
- 1072
 
6.8%
3 887
 
5.6%
0 812
 
5.1%
4 655
 
4.1%
5 628
 
4.0%
6 486
 
3.1%
7 474
 
3.0%
Other values (21) 1090
 
6.9%
Hangul
ValueCountFrequency (%)
구 2791
 
13.3%
동 1712
 
8.1%
대 1571
 
7.5%
시 1484
 
7.1%
역 1461
 
6.9%
광 1456
 
6.9%
지 1263
 
6.0%
번 1086
 
5.2%
성 575
 
2.7%
서 514
 
2.4%
Other values (264) 7113
33.8%
CJK
ValueCountFrequency (%)
箚 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1423
Distinct (%)97.8%
Missing31
Missing (%)2.1%
Memory size11.7 KiB
2024-04-18T12:56:50.690094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length55
Mean length30.179381
Min length20

Characters and Unicode

Total characters43911
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

Unique1391 ?
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 1455
 
16.7%
달서구 355
 
4.1%
북구 301
 
3.5%
수성구 255
 
2.9%
동구 197
 
2.3%
달성군 154
 
1.8%
2층 153
 
1.8%
3층 114
 
1.3%
서구 93
 
1.1%
4층 83
 
1.0%
Other values (1812) 5542
63.7%
2024-04-18T12:56:51.200320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7578
 
17.3%
구 2935
 
6.7%
동 1934
 
4.4%
대 1799
 
4.1%
시 1500
 
3.4%
역 1486
 
3.4%
광 1463
 
3.3%
로 1427
 
3.2%
1 1399
 
3.2%
( 1384
 
3.2%
Other values (328) 21006
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25079
57.1%
Space Separator 7578
 
17.3%
Decimal Number 7046
 
16.0%
Open Punctuation 1384
 
3.2%
Close Punctuation 1384
 
3.2%
Other Punctuation 1227
 
2.8%
Dash Punctuation 165
 
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 2935
 
11.7%
동 1934
 
7.7%
대 1799
 
7.2%
시 1500
 
6.0%
역 1486
 
5.9%
광 1463
 
5.8%
로 1427
 
5.7%
성 655
 
2.6%
층 623
 
2.5%
서 620
 
2.5%
Other values (295) 10637
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%
U 1
 
3.0%
S 1
 
3.0%
F 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 1399
19.9%
2 1302
18.5%
3 898
12.7%
0 843
12.0%
4 650
9.2%
5 598
8.5%
6 441
 
6.3%
7 350
 
5.0%
9 283
 
4.0%
8 282
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1212
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 (%)
7578
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1384
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1384
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25078
57.1%
Common 18794
42.8%
Latin 38
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2935
 
11.7%
동 1934
 
7.7%
대 1799
 
7.2%
시 1500
 
6.0%
역 1486
 
5.9%
광 1463
 
5.8%
로 1427
 
5.7%
성 655
 
2.6%
층 623
 
2.5%
서 620
 
2.5%
Other values (294) 10636
42.4%
Common
ValueCountFrequency (%)
7578
40.3%
1 1399
 
7.4%
( 1384
 
7.4%
) 1384
 
7.4%
2 1302
 
6.9%
, 1212
 
6.4%
3 898
 
4.8%
0 843
 
4.5%
4 650
 
3.5%
5 598
 
3.2%
Other values (11) 1546
 
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%
U 1
 
2.6%
S 1
 
2.6%
Other values (2) 2
 
5.3%
Han
ValueCountFrequency (%)
箚 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25078
57.1%
ASCII 18831
42.9%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7578
40.2%
1 1399
 
7.4%
( 1384
 
7.3%
) 1384
 
7.3%
2 1302
 
6.9%
, 1212
 
6.4%
3 898
 
4.8%
0 843
 
4.5%
4 650
 
3.5%
5 598
 
3.2%
Other values (22) 1583
 
8.4%
Hangul
ValueCountFrequency (%)
구 2935
 
11.7%
동 1934
 
7.7%
대 1799
 
7.2%
시 1500
 
6.0%
역 1486
 
5.9%
광 1463
 
5.8%
로 1427
 
5.7%
성 655
 
2.6%
층 623
 
2.5%
서 620
 
2.5%
Other values (294) 10636
42.4%
CJK
ValueCountFrequency (%)
箚 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct507
Distinct (%)55.2%
Missing567
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean80210.371
Minimum41002
Maximum711812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:51.339519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41086
Q141450
median42101
Q342761
95-th percentile701783.3
Maximum711812
Range670810
Interquartile range (IQR)1311

Descriptive statistics

Standard deviation154495.48
Coefficient of variation (CV)1.9261285
Kurtosis12.475231
Mean80210.371
Median Absolute Deviation (MAD)658
Skewness3.801
Sum73713331
Variance2.3868853 × 1010
MonotonicityNot monotonic
2024-04-18T12:56:51.460873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41026 13
 
0.9%
42974 9
 
0.6%
41423 8
 
0.5%
41493 8
 
0.5%
43008 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 (497) 839
56.5%
(Missing) 567
38.2%
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

Distinct1424
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2024-04-18T12:56:51.693238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length8.0094213
Min length2

Characters and Unicode

Total characters11902
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

Unique1369 ?
Unique (%)92.1%

Sample

1st row무덕관 대구시본관
2nd row월드권투체육관
3rd row계명태권도장
4th row계명태권도장
5th row태권도까치장원도장
ValueCountFrequency (%)
태권도장 171
 
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%
국가대표 9
 
0.4%
영남대 9
 
0.4%
2관 9
 
0.4%
Other values (1497) 1820
79.4%
2024-04-18T12:56:52.059027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 1181
 
9.9%
태 1063
 
8.9%
권 1036
 
8.7%
807
 
6.8%
관 439
 
3.7%
장 438
 
3.7%
대 334
 
2.8%
육 270
 
2.3%
체 264
 
2.2%
명 164
 
1.4%
Other values (461) 5906
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10600
89.1%
Space Separator 807
 
6.8%
Uppercase Letter 256
 
2.2%
Decimal Number 94
 
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 1181
 
11.1%
태 1063
 
10.0%
권 1036
 
9.8%
관 439
 
4.1%
장 438
 
4.1%
대 334
 
3.2%
육 270
 
2.5%
체 264
 
2.5%
명 164
 
1.5%
스 155
 
1.5%
Other values (404) 5256
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%
y 3
 
4.5%
w 3
 
4.5%
r 3
 
4.5%
h 3
 
4.5%
Other values (7) 12
18.2%
Decimal Number
ValueCountFrequency (%)
2 51
54.3%
1 15
 
16.0%
3 11
 
11.7%
5 6
 
6.4%
8 4
 
4.3%
7 3
 
3.2%
9 2
 
2.1%
6 1
 
1.1%
4 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 11
52.4%
& 9
42.9%
, 1
 
4.8%
Space Separator
ValueCountFrequency (%)
807
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 10599
89.1%
Common 980
 
8.2%
Latin 322
 
2.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1181
 
11.1%
태 1063
 
10.0%
권 1036
 
9.8%
관 439
 
4.1%
장 438
 
4.1%
대 334
 
3.2%
육 270
 
2.5%
체 264
 
2.5%
명 164
 
1.5%
스 155
 
1.5%
Other values (403) 5255
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 (%)
807
82.3%
2 51
 
5.2%
) 28
 
2.9%
( 27
 
2.8%
1 15
 
1.5%
3 11
 
1.1%
. 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 10599
89.1%
ASCII 1301
 
10.9%
Punctuation 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 1181
 
11.1%
태 1063
 
10.0%
권 1036
 
9.8%
관 439
 
4.1%
장 438
 
4.1%
대 334
 
3.2%
육 270
 
2.5%
체 264
 
2.5%
명 164
 
1.5%
스 155
 
1.5%
Other values (403) 5255
49.6%
ASCII
ValueCountFrequency (%)
807
62.0%
2 51
 
3.9%
A 32
 
2.5%
) 28
 
2.2%
( 27
 
2.1%
T 27
 
2.1%
M 24
 
1.8%
I 22
 
1.7%
N 21
 
1.6%
C 16
 
1.2%
Other values (46) 246
 
18.9%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1486
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.01662 × 1013
Minimum2.0021214 × 1013
Maximum2.022063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:52.190972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021214 × 1013
5-th percentile2.0060701 × 1013
Q12.0140719 × 1013
median2.0190117 × 1013
Q32.0200615 × 1013
95-th percentile2.0211205 × 1013
Maximum2.022063 × 1013
Range1.9941608 × 1011
Interquartile range (IQR)5.9896263 × 1010

Descriptive statistics

Standard deviation4.8968117 × 1010
Coefficient of variation (CV)0.0024282273
Kurtosis0.24683285
Mean2.01662 × 1013
Median Absolute Deviation (MAD)2.0511996 × 1010
Skewness-1.11954
Sum2.9966974 × 1016
Variance2.3978765 × 1021
MonotonicityNot monotonic
2024-04-18T12:56:52.337395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181224112211 1
 
0.1%
20190705135058 1
 
0.1%
20190620114253 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%
Other values (1476) 1476
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 (%)
20220630170850 1
0.1%
20220629171948 1
0.1%
20220629161228 1
0.1%
20220629123541 1
0.1%
20220628140818 1
0.1%
20220624155052 1
0.1%
20220623103410 1
0.1%
20220620154133 1
0.1%
20220617102129 1
0.1%
20220617101834 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
I
800 
U
686 

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
53.8%
U 686
46.2%

Length

2024-04-18T12:56:52.469357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:56:52.561222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 800
53.8%
u 686
46.2%

데이터갱신일자
Date

Distinct391
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-02 02:40:00
2024-04-18T12:56:52.662047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T12:56:52.789119image/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 size11.7 KiB
태권도
663 
<NA>
567 
권투
93 
합기도
78 
유도
 
38
Other values (3)
 
47

Length

Max length4
Median length3.5
Mean length3.2631225
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
44.6%
<NA> 567
38.2%
권투 93
 
6.3%
합기도 78
 
5.2%
유도 38
 
2.6%
검도 37
 
2.5%
우슈 8
 
0.5%
레슬링 2
 
0.1%

Length

2024-04-18T12:56:52.922373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:56:53.046243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태권도 663
44.6%
na 567
38.2%
권투 93
 
6.3%
합기도 78
 
5.2%
유도 38
 
2.6%
검도 37
 
2.5%
우슈 8
 
0.5%
레슬링 2
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1207
Distinct (%)83.1%
Missing33
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean342436.12
Minimum327434.27
Maximum357933.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:53.171247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327434.27
5-th percentile332192.35
Q1338549.65
median341601.47
Q3346378.42
95-th percentile354214.87
Maximum357933.24
Range30498.964
Interquartile range (IQR)7828.7718

Descriptive statistics

Standard deviation6030.0783
Coefficient of variation (CV)0.017609352
Kurtosis-0.16990207
Mean342436.12
Median Absolute Deviation (MAD)3976.3197
Skewness0.21080961
Sum4.9755968 × 108
Variance36361844
MonotonicityNot monotonic
2024-04-18T12:56:53.324612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340273.190841 4
 
0.3%
339230.84514 4
 
0.3%
356310.917659 4
 
0.3%
345871.559718 3
 
0.2%
339531.60811 3
 
0.2%
338899.412795 3
 
0.2%
345871.23599 3
 
0.2%
347585.728377 3
 
0.2%
347837.23497 3
 
0.2%
345660.693884 3
 
0.2%
Other values (1197) 1420
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 

Distinct1205
Distinct (%)82.9%
Missing33
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean263093.2
Minimum240358.72
Maximum273712.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:53.464627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240358.72
5-th percentile256624.51
Q1260733.9
median263107.17
Q3265868.68
95-th percentile271895.24
Maximum273712.08
Range33353.36
Interquartile range (IQR)5134.7803

Descriptive statistics

Standard deviation5315.6076
Coefficient of variation (CV)0.020204276
Kurtosis3.5536987
Mean263093.2
Median Absolute Deviation (MAD)2594.4288
Skewness-1.053462
Sum3.8227442 × 108
Variance28255684
MonotonicityNot monotonic
2024-04-18T12:56:53.593038image/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%
261408.212887 3
 
0.2%
257596.654862 3
 
0.2%
271441.238804 3
 
0.2%
267901.294823 3
 
0.2%
271208.630961 3
 
0.2%
263898.212801 3
 
0.2%
258308.417646 3
 
0.2%
Other values (1195) 1420
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 size11.7 KiB
체육도장업
1486 

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 1486
100.0%

Length

2024-04-18T12:56:53.717902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:56:53.801305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1486
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
사립
1483 
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 1483
99.8%
공립 3
 
0.2%

Length

2024-04-18T12:56:53.891636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:56:53.983592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1483
99.8%
공립 3
 
0.2%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
<NA>
1195 
0
284 
Y
 
7

Length

Max length4
Median length4
Mean length3.4125168
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> 1195
80.4%
0 284
 
19.1%
Y 7
 
0.5%

Length

2024-04-18T12:56:54.078210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:56:54.174728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1195
80.4%
0 284
 
19.1%
y 7
 
0.5%

지도자수
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
<NA>
787 
1
557 
0
130 
2
 
12

Length

Max length4
Median length4
Mean length2.5888291
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> 787
53.0%
1 557
37.5%
0 130
 
8.7%
2 12
 
0.8%

Length

2024-04-18T12:56:54.273277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:56:54.379732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 787
53.0%
1 557
37.5%
0 130
 
8.7%
2 12
 
0.8%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.1%
Missing1200
Missing (%)80.8%
Infinite0
Infinite (%)0.0%
Mean0.87412587
Minimum0
Maximum122
Zeros163
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:54.484795image/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 deviation7.2095133
Coefficient of variation (CV)8.2476833
Kurtosis282.47901
Mean0.87412587
Median Absolute Deviation (MAD)0
Skewness16.756348
Sum250
Variance51.977083
MonotonicityNot monotonic
2024-04-18T12:56:54.603205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 163
 
11.0%
1 119
 
8.0%
4 1
 
0.1%
122 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
(Missing) 1200
80.8%
ValueCountFrequency (%)
0 163
11.0%
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%
0 163
11.0%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct441
Distinct (%)75.0%
Missing898
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean869.42277
Minimum0
Maximum22199.95
Zeros122
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:54.724511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q194.545
median335.685
Q3981.6525
95-th percentile3697.5345
Maximum22199.95
Range22199.95
Interquartile range (IQR)887.1075

Descriptive statistics

Standard deviation1696.8997
Coefficient of variation (CV)1.9517544
Kurtosis55.992338
Mean869.42277
Median Absolute Deviation (MAD)335.685
Skewness5.9756308
Sum511220.59
Variance2879468.5
MonotonicityNot monotonic
2024-04-18T12:56:54.844154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 122
 
8.2%
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
29.8%
(Missing) 898
60.4%
ValueCountFrequency (%)
0.0 122
8.2%
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 (%)4.3%
Missing1299
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean4.7914439
Minimum0
Maximum100
Zeros166
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-04-18T12:56:54.944368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile34.2
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.098755
Coefficient of variation (CV)3.151191
Kurtosis15.227658
Mean4.7914439
Median Absolute Deviation (MAD)0
Skewness3.7048239
Sum896
Variance227.9724
MonotonicityNot monotonic
2024-04-18T12:56:55.038980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 166
 
11.2%
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) 1299
87.4%
ValueCountFrequency (%)
0 166
11.2%
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%
0 166
11.2%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1486
Missing (%)100.0%
Memory size13.2 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1486
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
14761477체육도장업10_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>
14771478체육도장업10_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>
14781479체육도장업10_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>
14791480체육도장업10_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>
14801481체육도장업10_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>
14811482체육도장업10_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>
14821483체육도장업10_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>
14831484체육도장업10_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>
14841485체육도장업10_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>
14851486체육도장업10_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>