Overview

Dataset statistics

Number of variables37
Number of observations1557
Missing cells16533
Missing cells (%)28.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory473.0 KiB
Average record size in memory311.1 B

Variable types

Numeric7
Categorical12
Text7
DateTime6
Unsupported5

Dataset

Description24년03월_6270000_대구광역시_10_41_01_P_체육도장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106550&dataSetDetailId=DDI_0000106563&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 is highly imbalanced (98.0%)Imbalance
보험가입여부코드 is highly imbalanced (54.5%)Imbalance
인허가취소일자 has 1557 (100.0%) missing valuesMissing
폐업일자 has 818 (52.5%) missing valuesMissing
휴업시작일자 has 1548 (99.4%) missing valuesMissing
휴업종료일자 has 1548 (99.4%) missing valuesMissing
재개업일자 has 1557 (100.0%) missing valuesMissing
소재지전화 has 433 (27.8%) missing valuesMissing
소재지면적 has 1557 (100.0%) missing valuesMissing
소재지우편번호 has 771 (49.5%) missing valuesMissing
소재지전체주소 has 35 (2.2%) missing valuesMissing
도로명전체주소 has 31 (2.0%) missing valuesMissing
도로명우편번호 has 567 (36.4%) missing valuesMissing
좌표정보(X) has 21 (1.3%) missing valuesMissing
좌표정보(Y) has 21 (1.3%) missing valuesMissing
건축물동수 has 1045 (67.1%) missing valuesMissing
건축물연면적 has 781 (50.2%) missing valuesMissing
회원모집총인원 has 1129 (72.5%) missing valuesMissing
세부업종명 has 1557 (100.0%) missing valuesMissing
법인명 has 1557 (100.0%) missing valuesMissing
건축물동수 is highly skewed (γ1 = 22.35892681)Skewed
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 384 (24.7%) zerosZeros
건축물연면적 has 295 (18.9%) zerosZeros
회원모집총인원 has 407 (26.1%) zerosZeros

Reproduction

Analysis started2024-04-29 12:10:51.507844
Analysis finished2024-04-29 12:10:52.879348
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1557
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean779
Minimum1
Maximum1557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-29T21:10:52.956255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile78.8
Q1390
median779
Q31168
95-th percentile1479.2
Maximum1557
Range1556
Interquartile range (IQR)778

Descriptive statistics

Standard deviation449.6115
Coefficient of variation (CV)0.57716495
Kurtosis-1.2
Mean779
Median Absolute Deviation (MAD)389
Skewness0
Sum1212903
Variance202150.5
MonotonicityStrictly increasing
2024-04-29T21:10:53.089486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1024 1
 
0.1%
1046 1
 
0.1%
1045 1
 
0.1%
1044 1
 
0.1%
1043 1
 
0.1%
1042 1
 
0.1%
1041 1
 
0.1%
1040 1
 
0.1%
1039 1
 
0.1%
Other values (1547) 1547
99.4%
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 (%)
1557 1
0.1%
1556 1
0.1%
1555 1
0.1%
1554 1
0.1%
1553 1
0.1%
1552 1
0.1%
1551 1
0.1%
1550 1
0.1%
1549 1
0.1%
1548 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
체육도장업
1557 

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 1557
100.0%

Length

2024-04-29T21:10:53.229383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:10:53.313572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1557
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
10_41_01_P
1557 

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 1557
100.0%

Length

2024-04-29T21:10:53.415565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:10:53.511070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_41_01_p 1557
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3459425.8
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-29T21:10:53.593396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13440000
median3460000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation106491.28
Coefficient of variation (CV)0.030782936
Kurtosis237.66978
Mean3459425.8
Median Absolute Deviation (MAD)10000
Skewness15.19199
Sum5.386326 × 109
Variance1.1340394 × 1010
MonotonicityIncreasing
2024-04-29T21:10:53.686691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 370
23.8%
3450000 317
20.4%
3460000 270
17.3%
3420000 209
13.4%
3480000 169
10.9%
3430000 101
 
6.5%
3440000 75
 
4.8%
3410000 40
 
2.6%
5141000 6
 
0.4%
ValueCountFrequency (%)
3410000 40
 
2.6%
3420000 209
13.4%
3430000 101
 
6.5%
3440000 75
 
4.8%
3450000 317
20.4%
3460000 270
17.3%
3470000 370
23.8%
3480000 169
10.9%
5141000 6
 
0.4%
ValueCountFrequency (%)
5141000 6
 
0.4%
3480000 169
10.9%
3470000 370
23.8%
3460000 270
17.3%
3450000 317
20.4%
3440000 75
 
4.8%
3430000 101
 
6.5%
3420000 209
13.4%
3410000 40
 
2.6%
Distinct489
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
2024-04-29T21:10:53.852600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters31140
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

Unique143 ?
Unique (%)9.2%

Sample

1st rowCDFH3301022002000001
2nd rowCDFH3301022002000014
3rd rowCDFH3301022005000001
4th rowCDFH3301022005000002
5th rowCDFH3301022002000010
ValueCountFrequency (%)
cdfh3301022002000001 9
 
0.6%
cdfh3301022020000001 9
 
0.6%
cdfh3301022010000002 8
 
0.5%
cdfh3301022009000001 8
 
0.5%
cdfh3301022022000001 8
 
0.5%
cdfh3301022020000002 8
 
0.5%
cdfh3301022020000003 8
 
0.5%
cdfh3301022015000001 8
 
0.5%
cdfh3301022008000001 8
 
0.5%
cdfh3301022005000001 8
 
0.5%
Other values (479) 1475
94.7%
2024-04-29T21:10:54.148130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12743
40.9%
3 3478
 
11.2%
2 3431
 
11.0%
1 3023
 
9.7%
C 1557
 
5.0%
D 1557
 
5.0%
F 1557
 
5.0%
H 1557
 
5.0%
9 813
 
2.6%
4 328
 
1.1%
Other values (4) 1096
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24912
80.0%
Uppercase Letter 6228
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12743
51.2%
3 3478
 
14.0%
2 3431
 
13.8%
1 3023
 
12.1%
9 813
 
3.3%
4 328
 
1.3%
5 297
 
1.2%
7 271
 
1.1%
6 265
 
1.1%
8 263
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 1557
25.0%
D 1557
25.0%
F 1557
25.0%
H 1557
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24912
80.0%
Latin 6228
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12743
51.2%
3 3478
 
14.0%
2 3431
 
13.8%
1 3023
 
12.1%
9 813
 
3.3%
4 328
 
1.3%
5 297
 
1.2%
7 271
 
1.1%
6 265
 
1.1%
8 263
 
1.1%
Latin
ValueCountFrequency (%)
C 1557
25.0%
D 1557
25.0%
F 1557
25.0%
H 1557
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12743
40.9%
3 3478
 
11.2%
2 3431
 
11.0%
1 3023
 
9.7%
C 1557
 
5.0%
D 1557
 
5.0%
F 1557
 
5.0%
H 1557
 
5.0%
9 813
 
2.6%
4 328
 
1.1%
Other values (4) 1096
 
3.5%
Distinct1346
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
Minimum1971-09-29 00:00:00
Maximum2024-03-29 00:00:00
2024-04-29T21:10:54.287059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:10:54.407979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1557
Missing (%)100.0%
Memory size13.8 KiB
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
1
808 
3
652 
4
88 
2
 
9

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 (%)
1 808
51.9%
3 652
41.9%
4 88
 
5.7%
2 9
 
0.6%

Length

2024-04-29T21:10:54.532341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:10:54.628026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 808
51.9%
3 652
41.9%
4 88
 
5.7%
2 9
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
영업/정상
808 
폐업
652 
취소/말소/만료/정지/중지
88 
휴업
 
9

Length

Max length14
Median length5
Mean length4.2350674
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 808
51.9%
폐업 652
41.9%
취소/말소/만료/정지/중지 88
 
5.7%
휴업 9
 
0.6%

Length

2024-04-29T21:10:54.733910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:10:54.828377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 808
51.9%
폐업 652
41.9%
취소/말소/만료/정지/중지 88
 
5.7%
휴업 9
 
0.6%
Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
13
808 
3
651 
35
88 
2
 
9
34
 
1

Length

Max length2
Median length2
Mean length1.5761079
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 808
51.9%
3 651
41.8%
35 88
 
5.7%
2 9
 
0.6%
34 1
 
0.1%

Length

2024-04-29T21:10:54.933266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:10:55.033841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 808
51.9%
3 651
41.8%
35 88
 
5.7%
2 9
 
0.6%
34 1
 
0.1%
Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
영업중
808 
폐업
651 
직권말소
88 
휴업
 
9
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.6339114
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 808
51.9%
폐업 651
41.8%
직권말소 88
 
5.7%
휴업 9
 
0.6%
영업장폐쇄 1
 
0.1%

Length

2024-04-29T21:10:55.143039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:10:55.243518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 808
51.9%
폐업 651
41.8%
직권말소 88
 
5.7%
휴업 9
 
0.6%
영업장폐쇄 1
 
0.1%

폐업일자
Date

MISSING 

Distinct613
Distinct (%)82.9%
Missing818
Missing (%)52.5%
Memory size12.3 KiB
Minimum1998-09-30 00:00:00
Maximum2024-03-22 00:00:00
2024-04-29T21:10:55.357941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:10:55.492062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct8
Distinct (%)88.9%
Missing1548
Missing (%)99.4%
Memory size12.3 KiB
Minimum2008-03-24 00:00:00
Maximum2022-02-15 00:00:00
2024-04-29T21:10:55.609720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:10:55.695370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

휴업종료일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing1548
Missing (%)99.4%
Memory size12.3 KiB
Minimum2008-08-24 00:00:00
Maximum2026-12-30 00:00:00
2024-04-29T21:10:55.776131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:10:55.867262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1557
Missing (%)100.0%
Memory size13.8 KiB

소재지전화
Text

MISSING 

Distinct1061
Distinct (%)94.4%
Missing433
Missing (%)27.8%
Memory size12.3 KiB
2024-04-29T21:10:56.066426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.322954
Min length7

Characters and Unicode

Total characters11603
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

Unique1001 ?
Unique (%)89.1%

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%
762-3732 2
 
0.2%
053-638-2343 2
 
0.2%
053-783-2722 2
 
0.2%
053-651-3597 2
 
0.2%
959-5523 2
 
0.2%
383-6008 2
 
0.2%
053-794-0775 2
 
0.2%
627-7672 2
 
0.2%
Other values (1053) 1103
98.0%
2024-04-29T21:10:56.460339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1741
15.0%
5 1713
14.8%
3 1533
13.2%
0 1218
10.5%
6 906
7.8%
7 856
7.4%
2 843
7.3%
1 804
6.9%
9 680
 
5.9%
8 678
 
5.8%
Other values (4) 631
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9857
85.0%
Dash Punctuation 1741
 
15.0%
Close Punctuation 2
 
< 0.1%
Space Separator 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1713
17.4%
3 1533
15.6%
0 1218
12.4%
6 906
9.2%
7 856
8.7%
2 843
8.6%
1 804
8.2%
9 680
 
6.9%
8 678
 
6.9%
4 626
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 1741
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11603
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1741
15.0%
5 1713
14.8%
3 1533
13.2%
0 1218
10.5%
6 906
7.8%
7 856
7.4%
2 843
7.3%
1 804
6.9%
9 680
 
5.9%
8 678
 
5.8%
Other values (4) 631
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11603
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1741
15.0%
5 1713
14.8%
3 1533
13.2%
0 1218
10.5%
6 906
7.8%
7 856
7.4%
2 843
7.3%
1 804
6.9%
9 680
 
5.9%
8 678
 
5.8%
Other values (4) 631
 
5.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1557
Missing (%)100.0%
Memory size13.8 KiB

소재지우편번호
Text

MISSING 

Distinct360
Distinct (%)45.8%
Missing771
Missing (%)49.5%
Memory size12.3 KiB
2024-04-29T21:10:56.751417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters5502
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)22.0%

Sample

1st row700-807
2nd row700-808
3rd row700-808
4th row700-805
5th row700-440
ValueCountFrequency (%)
711-812 13
 
1.7%
704-803 12
 
1.5%
704-936 11
 
1.4%
704-808 10
 
1.3%
704-902 9
 
1.1%
704-941 8
 
1.0%
704-830 8
 
1.0%
706-808 8
 
1.0%
706-140 7
 
0.9%
704-838 7
 
0.9%
Other values (350) 693
88.2%
2024-04-29T21:10:57.131400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1069
19.4%
7 940
17.1%
- 786
14.3%
8 638
11.6%
4 427
 
7.8%
1 414
 
7.5%
2 362
 
6.6%
3 305
 
5.5%
6 225
 
4.1%
9 178
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4716
85.7%
Dash Punctuation 786
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1069
22.7%
7 940
19.9%
8 638
13.5%
4 427
 
9.1%
1 414
 
8.8%
2 362
 
7.7%
3 305
 
6.5%
6 225
 
4.8%
9 178
 
3.8%
5 158
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 786
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5502
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1069
19.4%
7 940
17.1%
- 786
14.3%
8 638
11.6%
4 427
 
7.8%
1 414
 
7.5%
2 362
 
6.6%
3 305
 
5.5%
6 225
 
4.1%
9 178
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5502
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1069
19.4%
7 940
17.1%
- 786
14.3%
8 638
11.6%
4 427
 
7.8%
1 414
 
7.5%
2 362
 
6.6%
3 305
 
5.5%
6 225
 
4.1%
9 178
 
3.2%

소재지전체주소
Text

MISSING 

Distinct1458
Distinct (%)95.8%
Missing35
Missing (%)2.2%
Memory size12.3 KiB
2024-04-29T21:10:57.440879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length25.167543
Min length13

Characters and Unicode

Total characters38305
Distinct characters319
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

Unique1398 ?
Unique (%)91.9%

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 1522
 
20.6%
달서구 349
 
4.7%
북구 314
 
4.2%
수성구 268
 
3.6%
동구 209
 
2.8%
달성군 164
 
2.2%
2층 101
 
1.4%
서구 99
 
1.3%
3층 82
 
1.1%
남구 75
 
1.0%
Other values (1987) 4213
57.0%
2024-04-29T21:10:57.900813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7244
18.9%
2941
 
7.7%
1798
 
4.7%
1 1764
 
4.6%
1659
 
4.3%
1559
 
4.1%
1538
 
4.0%
1529
 
4.0%
2 1144
 
3.0%
- 1124
 
2.9%
Other values (309) 16005
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21750
56.8%
Decimal Number 7996
 
20.9%
Space Separator 7244
 
18.9%
Dash Punctuation 1124
 
2.9%
Other Punctuation 61
 
0.2%
Close Punctuation 43
 
0.1%
Open Punctuation 43
 
0.1%
Uppercase Letter 34
 
0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2941
 
13.5%
1798
 
8.3%
1659
 
7.6%
1559
 
7.2%
1538
 
7.1%
1529
 
7.0%
1109
 
5.1%
927
 
4.3%
610
 
2.8%
543
 
2.5%
Other values (275) 7537
34.7%
Uppercase Letter
ValueCountFrequency (%)
B 8
23.5%
A 7
20.6%
T 4
11.8%
L 3
 
8.8%
K 3
 
8.8%
P 2
 
5.9%
M 2
 
5.9%
F 1
 
2.9%
X 1
 
2.9%
H 1
 
2.9%
Other values (2) 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 1764
22.1%
2 1144
14.3%
3 919
11.5%
0 851
10.6%
4 690
 
8.6%
5 655
 
8.2%
6 512
 
6.4%
8 500
 
6.3%
7 495
 
6.2%
9 466
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 51
83.6%
/ 6
 
9.8%
. 2
 
3.3%
@ 1
 
1.6%
· 1
 
1.6%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
+ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
7244
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21749
56.8%
Common 16516
43.1%
Latin 39
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2941
 
13.5%
1798
 
8.3%
1659
 
7.6%
1559
 
7.2%
1538
 
7.1%
1529
 
7.0%
1109
 
5.1%
927
 
4.3%
610
 
2.8%
543
 
2.5%
Other values (274) 7536
34.6%
Common
ValueCountFrequency (%)
7244
43.9%
1 1764
 
10.7%
2 1144
 
6.9%
- 1124
 
6.8%
3 919
 
5.6%
0 851
 
5.2%
4 690
 
4.2%
5 655
 
4.0%
6 512
 
3.1%
8 500
 
3.0%
Other values (11) 1113
 
6.7%
Latin
ValueCountFrequency (%)
B 8
20.5%
A 7
17.9%
e 5
12.8%
T 4
10.3%
L 3
 
7.7%
K 3
 
7.7%
P 2
 
5.1%
M 2
 
5.1%
F 1
 
2.6%
X 1
 
2.6%
Other values (3) 3
 
7.7%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21749
56.8%
ASCII 16554
43.2%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7244
43.8%
1 1764
 
10.7%
2 1144
 
6.9%
- 1124
 
6.8%
3 919
 
5.6%
0 851
 
5.1%
4 690
 
4.2%
5 655
 
4.0%
6 512
 
3.1%
8 500
 
3.0%
Other values (23) 1151
 
7.0%
Hangul
ValueCountFrequency (%)
2941
 
13.5%
1798
 
8.3%
1659
 
7.6%
1559
 
7.2%
1538
 
7.1%
1529
 
7.0%
1109
 
5.1%
927
 
4.3%
610
 
2.8%
543
 
2.5%
Other values (274) 7536
34.6%
CJK
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1494
Distinct (%)97.9%
Missing31
Missing (%)2.0%
Memory size12.3 KiB
2024-04-29T21:10:58.266167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length54
Mean length30.420052
Min length20

Characters and Unicode

Total characters46421
Distinct characters352
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

Unique1462 ?
Unique (%)95.8%

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 1526
 
16.6%
달서구 366
 
4.0%
북구 314
 
3.4%
수성구 267
 
2.9%
동구 207
 
2.2%
2층 166
 
1.8%
달성군 159
 
1.7%
3층 131
 
1.4%
서구 101
 
1.1%
4층 93
 
1.0%
Other values (1901) 5879
63.8%
2024-04-29T21:10:58.767455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8011
 
17.3%
3082
 
6.6%
2038
 
4.4%
1891
 
4.1%
1573
 
3.4%
1562
 
3.4%
1535
 
3.3%
1491
 
3.2%
1 1484
 
3.2%
) 1442
 
3.1%
Other values (342) 22312
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26485
57.1%
Space Separator 8011
 
17.3%
Decimal Number 7479
 
16.1%
Close Punctuation 1442
 
3.1%
Open Punctuation 1442
 
3.1%
Other Punctuation 1331
 
2.9%
Dash Punctuation 176
 
0.4%
Uppercase Letter 39
 
0.1%
Math Symbol 11
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3082
 
11.6%
2038
 
7.7%
1891
 
7.1%
1573
 
5.9%
1562
 
5.9%
1535
 
5.8%
1491
 
5.6%
693
 
2.6%
678
 
2.6%
650
 
2.5%
Other values (307) 11292
42.6%
Uppercase Letter
ValueCountFrequency (%)
B 10
25.6%
A 7
17.9%
T 4
 
10.3%
L 3
 
7.7%
H 3
 
7.7%
K 3
 
7.7%
P 2
 
5.1%
M 2
 
5.1%
X 1
 
2.6%
F 1
 
2.6%
Other values (3) 3
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 1484
19.8%
2 1383
18.5%
3 966
12.9%
0 913
12.2%
4 684
9.1%
5 627
8.4%
6 467
 
6.2%
7 373
 
5.0%
9 293
 
3.9%
8 289
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 1319
99.1%
/ 5
 
0.4%
. 5
 
0.4%
· 1
 
0.1%
@ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 10
90.9%
+ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
8011
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1442
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1442
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26484
57.1%
Common 19892
42.9%
Latin 44
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3082
 
11.6%
2038
 
7.7%
1891
 
7.1%
1573
 
5.9%
1562
 
5.9%
1535
 
5.8%
1491
 
5.6%
693
 
2.6%
678
 
2.6%
650
 
2.5%
Other values (306) 11291
42.6%
Common
ValueCountFrequency (%)
8011
40.3%
1 1484
 
7.5%
) 1442
 
7.2%
( 1442
 
7.2%
2 1383
 
7.0%
, 1319
 
6.6%
3 966
 
4.9%
0 913
 
4.6%
4 684
 
3.4%
5 627
 
3.2%
Other values (11) 1621
 
8.1%
Latin
ValueCountFrequency (%)
B 10
22.7%
A 7
15.9%
e 5
11.4%
T 4
 
9.1%
L 3
 
6.8%
H 3
 
6.8%
K 3
 
6.8%
P 2
 
4.5%
M 2
 
4.5%
X 1
 
2.3%
Other values (4) 4
 
9.1%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26484
57.1%
ASCII 19935
42.9%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8011
40.2%
1 1484
 
7.4%
) 1442
 
7.2%
( 1442
 
7.2%
2 1383
 
6.9%
, 1319
 
6.6%
3 966
 
4.8%
0 913
 
4.6%
4 684
 
3.4%
5 627
 
3.1%
Other values (24) 1664
 
8.3%
Hangul
ValueCountFrequency (%)
3082
 
11.6%
2038
 
7.7%
1891
 
7.1%
1573
 
5.9%
1562
 
5.9%
1535
 
5.8%
1491
 
5.6%
693
 
2.6%
678
 
2.6%
650
 
2.5%
Other values (306) 11291
42.6%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct531
Distinct (%)53.6%
Missing567
Missing (%)36.4%
Memory size12.3 KiB
2024-04-29T21:10:59.111409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1090909
Min length5

Characters and Unicode

Total characters5058
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique305 ?
Unique (%)30.8%

Sample

1st row41946
2nd row41977
3rd row700-813
4th row700-823
5th row700-112
ValueCountFrequency (%)
41026 13
 
1.3%
42974 10
 
1.0%
41423 9
 
0.9%
43008 9
 
0.9%
41493 8
 
0.8%
43018 8
 
0.8%
43017 7
 
0.7%
42918 7
 
0.7%
41443 7
 
0.7%
42761 6
 
0.6%
Other values (521) 906
91.5%
2024-04-29T21:10:59.564783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1303
25.8%
1 826
16.3%
2 767
15.2%
0 393
 
7.8%
7 370
 
7.3%
9 296
 
5.9%
5 285
 
5.6%
6 268
 
5.3%
8 255
 
5.0%
3 241
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5004
98.9%
Dash Punctuation 54
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1303
26.0%
1 826
16.5%
2 767
15.3%
0 393
 
7.9%
7 370
 
7.4%
9 296
 
5.9%
5 285
 
5.7%
6 268
 
5.4%
8 255
 
5.1%
3 241
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5058
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1303
25.8%
1 826
16.3%
2 767
15.2%
0 393
 
7.8%
7 370
 
7.3%
9 296
 
5.9%
5 285
 
5.6%
6 268
 
5.3%
8 255
 
5.0%
3 241
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5058
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1303
25.8%
1 826
16.3%
2 767
15.2%
0 393
 
7.8%
7 370
 
7.3%
9 296
 
5.9%
5 285
 
5.6%
6 268
 
5.3%
8 255
 
5.0%
3 241
 
4.8%
Distinct1491
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
2024-04-29T21:10:59.830376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length8.0597303
Min length2

Characters and Unicode

Total characters12549
Distinct characters477
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

Unique1435 ?
Unique (%)92.2%

Sample

1st row무덕관 대구시본관
2nd row월드권투체육관
3rd row계명태권도장
4th row계명태권도장
5th row태권도까치장원도장
ValueCountFrequency (%)
태권도장 200
 
8.2%
태권도 99
 
4.1%
계명대 74
 
3.0%
용인대 32
 
1.3%
합기도 31
 
1.3%
체육관 19
 
0.8%
태권스쿨 14
 
0.6%
i 12
 
0.5%
can 10
 
0.4%
영남대 9
 
0.4%
Other values (1568) 1927
79.4%
2024-04-29T21:11:00.194079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1237
 
9.9%
1104
 
8.8%
1076
 
8.6%
870
 
6.9%
498
 
4.0%
443
 
3.5%
340
 
2.7%
263
 
2.1%
259
 
2.1%
167
 
1.3%
Other values (467) 6292
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11110
88.5%
Space Separator 870
 
6.9%
Uppercase Letter 307
 
2.4%
Decimal Number 98
 
0.8%
Lowercase Letter 68
 
0.5%
Close Punctuation 32
 
0.3%
Open Punctuation 31
 
0.2%
Other Punctuation 30
 
0.2%
Dash Punctuation 2
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1237
 
11.1%
1104
 
9.9%
1076
 
9.7%
498
 
4.5%
443
 
4.0%
340
 
3.1%
263
 
2.4%
259
 
2.3%
167
 
1.5%
164
 
1.5%
Other values (410) 5559
50.0%
Uppercase Letter
ValueCountFrequency (%)
A 36
11.7%
T 32
 
10.4%
I 27
 
8.8%
M 25
 
8.1%
N 25
 
8.1%
C 21
 
6.8%
E 17
 
5.5%
K 15
 
4.9%
O 15
 
4.9%
P 14
 
4.6%
Other values (13) 80
26.1%
Lowercase Letter
ValueCountFrequency (%)
i 11
16.2%
e 10
14.7%
l 6
8.8%
m 6
8.8%
a 5
7.4%
y 4
 
5.9%
o 4
 
5.9%
n 4
 
5.9%
s 3
 
4.4%
h 3
 
4.4%
Other values (7) 12
17.6%
Decimal Number
ValueCountFrequency (%)
2 57
58.2%
1 14
 
14.3%
3 10
 
10.2%
5 6
 
6.1%
8 4
 
4.1%
7 2
 
2.0%
4 2
 
2.0%
9 2
 
2.0%
6 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
& 17
56.7%
. 11
36.7%
, 2
 
6.7%
Space Separator
ValueCountFrequency (%)
870
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11109
88.5%
Common 1064
 
8.5%
Latin 375
 
3.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1237
 
11.1%
1104
 
9.9%
1076
 
9.7%
498
 
4.5%
443
 
4.0%
340
 
3.1%
263
 
2.4%
259
 
2.3%
167
 
1.5%
164
 
1.5%
Other values (409) 5558
50.0%
Latin
ValueCountFrequency (%)
A 36
 
9.6%
T 32
 
8.5%
I 27
 
7.2%
M 25
 
6.7%
N 25
 
6.7%
C 21
 
5.6%
E 17
 
4.5%
K 15
 
4.0%
O 15
 
4.0%
P 14
 
3.7%
Other values (30) 148
39.5%
Common
ValueCountFrequency (%)
870
81.8%
2 57
 
5.4%
) 32
 
3.0%
( 31
 
2.9%
& 17
 
1.6%
1 14
 
1.3%
. 11
 
1.0%
3 10
 
0.9%
5 6
 
0.6%
8 4
 
0.4%
Other values (7) 12
 
1.1%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11109
88.5%
ASCII 1438
 
11.5%
Punctuation 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1237
 
11.1%
1104
 
9.9%
1076
 
9.7%
498
 
4.5%
443
 
4.0%
340
 
3.1%
263
 
2.4%
259
 
2.3%
167
 
1.5%
164
 
1.5%
Other values (409) 5558
50.0%
ASCII
ValueCountFrequency (%)
870
60.5%
2 57
 
4.0%
A 36
 
2.5%
) 32
 
2.2%
T 32
 
2.2%
( 31
 
2.2%
I 27
 
1.9%
M 25
 
1.7%
N 25
 
1.7%
C 21
 
1.5%
Other values (46) 282
 
19.6%
Punctuation
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

최종수정시점
Date

UNIQUE 

Distinct1557
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
Minimum2002-12-14 09:38:18
Maximum2024-03-29 09:28:15
2024-04-29T21:11:00.312362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:00.433115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
U
802 
I
755 

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 (%)
U 802
51.5%
I 755
48.5%

Length

2024-04-29T21:11:00.550966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:00.834737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 802
51.5%
i 755
48.5%
Distinct477
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
Minimum2018-08-31 23:59:59
Maximum2024-03-31 00:15:17
2024-04-29T21:11:00.930091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:01.058422image/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 size12.3 KiB
태권도
696 
<NA>
573 
권투
107 
합기도
84 
유도
 
44
Other values (3)
 
53

Length

Max length4
Median length3
Mean length3.2402055
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 696
44.7%
<NA> 573
36.8%
권투 107
 
6.9%
합기도 84
 
5.4%
유도 44
 
2.8%
검도 40
 
2.6%
우슈 8
 
0.5%
레슬링 5
 
0.3%

Length

2024-04-29T21:11:01.179048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:01.300773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태권도 696
44.7%
na 573
36.8%
권투 107
 
6.9%
합기도 84
 
5.4%
유도 44
 
2.8%
검도 40
 
2.6%
우슈 8
 
0.5%
레슬링 5
 
0.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1271
Distinct (%)82.7%
Missing21
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean342443.77
Minimum327433.97
Maximum357933.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-29T21:11:01.427370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327433.97
5-th percentile332141.92
Q1338548.7
median341597.26
Q3346390.88
95-th percentile354212.76
Maximum357933.24
Range30499.269
Interquartile range (IQR)7842.1766

Descriptive statistics

Standard deviation6074.3629
Coefficient of variation (CV)0.017738278
Kurtosis-0.18736544
Mean342443.77
Median Absolute Deviation (MAD)4062.695
Skewness0.19070973
Sum5.2599363 × 108
Variance36897885
MonotonicityNot monotonic
2024-04-29T21:11:01.550404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
356310.91765893 4
 
0.3%
340273.190840684 4
 
0.3%
339230.845140453 4
 
0.3%
339707.871256606 4
 
0.3%
335943.783939559 4
 
0.3%
345871.235990206 4
 
0.3%
331432.713792093 3
 
0.2%
331685.390022772 3
 
0.2%
345871.559718053 3
 
0.2%
348154.531222516 3
 
0.2%
Other values (1261) 1500
96.3%
(Missing) 21
 
1.3%
ValueCountFrequency (%)
327433.969056986 1
0.1%
327434.27418042 1
0.1%
327767.774887735 1
0.1%
327811.761116979 1
0.1%
327853.173808645 1
0.1%
328069.657841271 1
0.1%
328183.920892314 1
0.1%
328270.061481478 2
0.1%
328307.681490331 2
0.1%
328325.875377771 1
0.1%
ValueCountFrequency (%)
357933.237728742 1
 
0.1%
357908.123249657 1
 
0.1%
357867.135304704 2
0.1%
356548.114071857 1
 
0.1%
356437.392326278 1
 
0.1%
356410.892344199 1
 
0.1%
356353.915440362 1
 
0.1%
356310.91765893 4
0.3%
356142.765211698 2
0.1%
356129.784534988 2
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1271
Distinct (%)82.7%
Missing21
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean263167.99
Minimum240358.72
Maximum305370.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-29T21:11:01.684310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240358.72
5-th percentile256386.85
Q1260733.79
median263129.85
Q3265891.21
95-th percentile272099.18
Maximum305370.85
Range65012.13
Interquartile range (IQR)5157.4165

Descriptive statistics

Standard deviation5796.0081
Coefficient of variation (CV)0.022023986
Kurtosis8.3841826
Mean263167.99
Median Absolute Deviation (MAD)2609.6233
Skewness-0.043361043
Sum4.0422603 × 108
Variance33593710
MonotonicityNot monotonic
2024-04-29T21:11:01.803755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264295.293905556 4
 
0.3%
272329.344510931 4
 
0.3%
261410.555121064 4
 
0.3%
261247.857555626 4
 
0.3%
263032.804466394 4
 
0.3%
264640.949281828 4
 
0.3%
244561.674164791 3
 
0.2%
263366.296869414 3
 
0.2%
264412.965294564 3
 
0.2%
259261.053684204 3
 
0.2%
Other values (1261) 1500
96.3%
(Missing) 21
 
1.3%
ValueCountFrequency (%)
240358.722944009 1
 
0.1%
240365.716050201 1
 
0.1%
240473.571874223 3
0.2%
240482.809934877 1
 
0.1%
240485.785927166 2
0.1%
240491.096812813 2
0.1%
240496.083286429 1
 
0.1%
240899.421415258 1
 
0.1%
240929.601040558 1
 
0.1%
241185.67699335 1
 
0.1%
ValueCountFrequency (%)
305370.853078187 1
0.1%
305267.602371452 1
0.1%
305044.109152526 1
0.1%
298446.438418169 1
0.1%
273712.08248913 1
0.1%
273589.424447926 1
0.1%
273584.927184579 2
0.1%
273549.424517431 1
0.1%
273544.247323898 1
0.1%
273287.318216073 2
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
체육도장업
1557 

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 1557
100.0%

Length

2024-04-29T21:11:01.924700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:02.007061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1557
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
사립
1554 
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 1554
99.8%
공립 3
 
0.2%

Length

2024-04-29T21:11:02.096868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:02.187844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1554
99.8%
공립 3
 
0.2%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1269 
0
281 
Y
 
7

Length

Max length4
Median length4
Mean length3.4450867
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> 1269
81.5%
0 281
 
18.0%
Y 7
 
0.4%

Length

2024-04-29T21:11:02.281723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:02.373629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1269
81.5%
0 281
 
18.0%
y 7
 
0.4%

지도자수
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
664 
1
659 
0
218 
2
 
16

Length

Max length4
Median length1
Mean length2.2793834
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> 664
42.6%
1 659
42.3%
0 218
 
14.0%
2 16
 
1.0%

Length

2024-04-29T21:11:02.482057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:02.598705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 664
42.6%
1 659
42.3%
0 218
 
14.0%
2 16
 
1.0%

건축물동수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)1.2%
Missing1045
Missing (%)67.1%
Infinite0
Infinite (%)0.0%
Mean0.49804688
Minimum0
Maximum122
Zeros384
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-29T21:11:02.690217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.25
95-th percentile1
Maximum122
Range122
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation5.4016737
Coefficient of variation (CV)10.845713
Kurtosis503.85463
Mean0.49804688
Median Absolute Deviation (MAD)0
Skewness22.358927
Sum255
Variance29.178078
MonotonicityNot monotonic
2024-04-29T21:11:02.784950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 384
 
24.7%
1 124
 
8.0%
4 1
 
0.1%
122 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
(Missing) 1045
67.1%
ValueCountFrequency (%)
0 384
24.7%
1 124
 
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%
1 124
 
8.0%
0 384
24.7%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct457
Distinct (%)58.9%
Missing781
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean753.82612
Minimum0
Maximum22769.6
Zeros295
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-29T21:11:02.904959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median140.895
Q3781.215
95-th percentile3372.4375
Maximum22769.6
Range22769.6
Interquartile range (IQR)781.215

Descriptive statistics

Standard deviation1773.4994
Coefficient of variation (CV)2.3526638
Kurtosis66.794636
Mean753.82612
Median Absolute Deviation (MAD)140.895
Skewness6.7263133
Sum584969.07
Variance3145300.2
MonotonicityNot monotonic
2024-04-29T21:11:03.028163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 295
 
18.9%
99.0 7
 
0.4%
1652.48 2
 
0.1%
741.49 2
 
0.1%
492.81 2
 
0.1%
106.37 2
 
0.1%
1841.28 2
 
0.1%
489.12 2
 
0.1%
940.17 2
 
0.1%
2316.89 2
 
0.1%
Other values (447) 458
29.4%
(Missing) 781
50.2%
ValueCountFrequency (%)
0.0 295
18.9%
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 (%)
22769.6 1
0.1%
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%
6776.23 1
0.1%

회원모집총인원
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.9%
Missing1129
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean2.0934579
Minimum0
Maximum100
Zeros407
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-29T21:11:03.135360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation10.245266
Coefficient of variation (CV)4.8939442
Kurtosis39.716373
Mean2.0934579
Median Absolute Deviation (MAD)0
Skewness5.8882895
Sum896
Variance104.96548
MonotonicityNot monotonic
2024-04-29T21:11:03.226093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 407
 
26.1%
30 10
 
0.6%
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) 1129
72.5%
ValueCountFrequency (%)
0 407
26.1%
20 1
 
0.1%
30 10
 
0.6%
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
 
0.6%
20 1
 
0.1%
0 407
26.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1557
Missing (%)100.0%
Memory size13.8 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1557
Missing (%)100.0%
Memory size13.8 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01체육도장업10_41_01_P3410000CDFH33010220020000012002-12-14<NA>2휴업2휴업<NA>2019-01-012022-01-01<NA>425-9777<NA><NA>대구광역시 중구 동인동4가 424-2번지대구광역시 중구 국채보상로150길 38 (동인동4가)41946무덕관 대구시본관2018-12-24 11:22:11U2018-12-26 02:40:00태권도345430.072454264159.93956체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
12체육도장업10_41_01_P3410000CDFH33010220020000142002-12-14<NA>4취소/말소/만료/정지/중지35직권말소2010-05-17<NA><NA><NA><NA><NA>700-807대구광역시 중구 남산동 2501-16번지<NA><NA>월드권투체육관2010-06-22 17:08:06I2018-08-31 23:59:59<NA><NA><NA>체육도장업사립<NA><NA><NA>138.96<NA><NA><NA>
23체육도장업10_41_01_P3410000CDFH33010220050000012005-07-20<NA>3폐업3폐업2005-08-18<NA><NA><NA>(053)427-2226<NA>700-808대구광역시 중구 남산동 2971-11번지<NA><NA>계명태권도장2005-08-30 10:23:26I2018-08-31 23:59:59<NA>342303.123488263634.294525체육도장업사립0<NA><NA><NA><NA><NA><NA>
34체육도장업10_41_01_P3410000CDFH33010220050000022005-10-26<NA>3폐업3폐업2005-11-07<NA><NA><NA>427-2226<NA>700-808대구광역시 중구 남산동 2971-11번지<NA><NA>계명태권도장2005-11-07 13:36:14I2018-08-31 23:59:59<NA>342303.123488263634.294525체육도장업사립0<NA><NA><NA><NA><NA><NA>
45체육도장업10_41_01_P3410000CDFH33010220020000102002-12-14<NA>3폐업3폐업2016-12-01<NA><NA><NA>254-9222<NA>700-805대구광역시 중구 남산동 2482-458번지대구광역시 중구 남산로7길 75 (남산동)41977태권도까치장원도장2017-01-05 15:55:16I2018-08-31 23:59:59태권도342565.585038263288.453034체육도장업사립<NA><NA><NA>2109.47<NA><NA><NA>
56체육도장업10_41_01_P3410000CDFH33010220020000032002-12-14<NA>3폐업3폐업2003-06-10<NA><NA><NA>252-4358<NA>700-440대구광역시 중구 남산동 571-7번지<NA><NA>황금체육도장2005-04-11 10:38:03I2018-08-31 23:59:59<NA>343437.585946263821.006495체육도장업사립0<NA><NA>180.0<NA><NA><NA>
67체육도장업10_41_01_P3410000CDFH33010220020000052002-12-14<NA>3폐업3폐업2005-02-17<NA><NA><NA>424-9312<NA>700-806대구광역시 중구 남산동 106-6번지<NA><NA>아세아종합체육관2005-02-18 11:56:43I2018-08-31 23:59:59<NA>342839.579004263641.536906체육도장업사립0<NA><NA>82.75<NA><NA><NA>
78체육도장업10_41_01_P3410000CDFH33010220020000112002-12-14<NA>3폐업3폐업2013-01-17<NA><NA><NA><NA><NA>700-813대구광역시 중구 대봉동 727-25번지대구광역시 중구 이천로 184-6 (대봉동)700-813정기관2014-01-23 14:37:45I2018-08-31 23:59:59<NA>344346.631878263107.173684체육도장업사립<NA>2<NA><NA><NA><NA><NA>
89체육도장업10_41_01_P3410000CDFH33010220020000122002-12-14<NA>3폐업3폐업2007-01-23<NA><NA><NA>424-9525<NA>700-423대구광역시 중구 동인동3가 271-17번지<NA><NA>무현관2002-12-14 09:38:18I2018-08-31 23:59:59<NA>345197.826647264819.133032체육도장업사립0<NA><NA>117.29<NA><NA><NA>
910체육도장업10_41_01_P3410000CDFH33010220020000132002-12-14<NA>3폐업3폐업2005-05-19<NA><NA><NA>253-9974<NA>700-807대구광역시 중구 남산동 2501-3번지<NA><NA>검도교실민무관2005-05-19 10:40:18I2018-08-31 23:59:59<NA><NA><NA>체육도장업사립0<NA><NA>186.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
15471548체육도장업10_41_01_P3480000CDFH33010220200000102020-05-12<NA>1영업/정상13영업중<NA><NA><NA><NA>053-614-6880<NA><NA>대구광역시 달성군 옥포읍 본리리 2600번지대구광역시 달성군 옥포읍 비슬로447길 55, 201,202호42971행복한i 화남 태권도 스포츠짐2020-05-12 14:41:23I2020-05-14 00:23:19태권도332422.611144255921.884872체육도장업사립<NA>1<NA><NA><NA><NA><NA>
15481549체육도장업10_41_01_P3480000CDFH33010220200000112020-05-12<NA>1영업/정상13영업중<NA><NA><NA><NA>053-614-6880<NA><NA>대구광역시 달성군 옥포읍 본리리 2600번지대구광역시 달성군 옥포읍 비슬로447길 55, 203호42971뛰는 행복한i 화남태권도 스포츠짐2020-05-12 14:41:36I2020-05-14 00:23:19태권도332422.611144255921.884872체육도장업사립<NA>1<NA><NA><NA><NA><NA>
15491550체육도장업10_41_01_P3480000CDFH33010220200000082020-04-14<NA>1영업/정상13영업중<NA><NA><NA><NA>053-615-0545<NA><NA>대구광역시 달성군 유가읍 봉리 608번지 504호대구광역시 달성군 유가읍 테크노상업로 96, 파스텔시티 5층 504호43018율하합기도2020-05-26 19:38:07U2020-05-28 02:40:00합기도331919.133344244677.574372체육도장업사립Y<NA><NA><NA><NA><NA><NA>
15501551체육도장업10_41_01_P3480000CDFH33010220210000062021-12-02<NA>1영업/정상13영업중<NA><NA><NA><NA>053-615-3336<NA><NA>대구광역시 달성군 구지면 응암리 1208-3대구광역시 달성군 구지면 과학마을로 60, 2층43008계명대 엘리트 태권도장2023-03-30 09:46:11U2023-04-01 02:40:00태권도328325.875378240496.083286체육도장업사립<NA>000.00<NA><NA>
15511552체육도장업10_41_01_P5141000CDFH33010219730000011973-07-26<NA>2휴업2휴업<NA>2015-01-202016-01-19<NA>054-383-2153<NA><NA>대구광역시 군위군 군위읍 서부리 33-9대구광역시 군위군 군위읍 중앙길 106<NA>군위태권도체육관2015-01-20 11:11:31I2023-07-01 15:23:19<NA><NA><NA>체육도장업사립<NA>000.00<NA><NA>
15521553체육도장업10_41_01_P5141000CDFH33010219970000011997-06-26<NA>3폐업3폐업2016-02-01<NA><NA><NA>054-383-9970<NA>716-804대구광역시 군위군 군위읍 서부리 57-1대구광역시 군위군 군위읍 중앙길 84<NA>효령태권도체육관2016-02-01 15:43:41I2023-07-01 16:42:10<NA>340776.702694305044.109153체육도장업사립0000.00<NA><NA>
15531554체육도장업10_41_01_P5141000CDFH33010220200000012020-05-26<NA>1영업/정상13영업중<NA><NA><NA><NA>054-382-6364<NA><NA>대구광역시 군위군 군위읍 동부리 32-19대구광역시 군위군 군위읍 동서1길 13-7, 1층43114국술원 합기도2020-05-26 09:58:41I2023-07-01 15:23:19합기도<NA><NA>체육도장업사립<NA>100.00<NA><NA>
15541555체육도장업10_41_01_P5141000CDFH33010220020000012002-09-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>716-804대구광역시 군위군 군위읍 동부리 397-6대구광역시 군위군 군위읍 중앙길 118-1<NA>동원태권도장2010-04-05 14:48:52I2023-07-01 16:42:10<NA>340873.184812305370.853078체육도장업사립<NA>11408.120<NA><NA>
15551556체육도장업10_41_01_P5141000CDFH33010220040000012004-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA>054-383-6556<NA>716-804대구광역시 군위군 군위읍 서부리 34-1대구광역시 군위군 군위읍 중앙길 105-1<NA>단군태권도교육관2018-12-03 15:14:04I2023-07-01 16:42:10<NA>340803.615793305267.602371체육도장업사립<NA>00604.770<NA><NA>
15561557체육도장업10_41_01_P5141000CDFH33010220090000012009-05-22<NA>3폐업3폐업2014-01-21<NA><NA><NA>054-383-9980<NA>716-863대구광역시 군위군 의흥면 읍내리 265대구광역시 군위군 의흥면 읍내길 67716-863의흥태권도체육관2014-01-21 18:39:32I2023-07-01 16:42:10<NA>354469.309951298446.438418체육도장업사립<NA>11684.040<NA><NA>