Overview

Dataset statistics

Number of variables37
Number of observations1520
Missing cells16525
Missing cells (%)29.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory461.8 KiB
Average record size in memory311.1 B

Variable types

Numeric7
Categorical12
Text7
DateTime6
Unsupported5

Dataset

Description23년06월_6270000_대구광역시_10_41_01_P_체육도장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098595&dataSetDetailId=DDI_0000098616&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 (53.8%)Imbalance
인허가취소일자 has 1520 (100.0%) missing valuesMissing
폐업일자 has 803 (52.8%) missing valuesMissing
휴업시작일자 has 1512 (99.5%) missing valuesMissing
휴업종료일자 has 1512 (99.5%) missing valuesMissing
재개업일자 has 1520 (100.0%) missing valuesMissing
소재지전화 has 465 (30.6%) missing valuesMissing
소재지면적 has 1520 (100.0%) missing valuesMissing
소재지우편번호 has 731 (48.1%) missing valuesMissing
소재지전체주소 has 36 (2.4%) missing valuesMissing
도로명전체주소 has 31 (2.0%) missing valuesMissing
도로명우편번호 has 567 (37.3%) missing valuesMissing
좌표정보(X) has 16 (1.1%) missing valuesMissing
좌표정보(Y) has 16 (1.1%) missing valuesMissing
건축물동수 has 1142 (75.1%) missing valuesMissing
건축물연면적 has 856 (56.3%) missing valuesMissing
회원모집총인원 has 1238 (81.4%) missing valuesMissing
세부업종명 has 1520 (100.0%) missing valuesMissing
법인명 has 1520 (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 255 (16.8%) zerosZeros
건축물연면적 has 193 (12.7%) zerosZeros
회원모집총인원 has 261 (17.2%) zerosZeros

Reproduction

Analysis started2023-12-10 19:32:49.903978
Analysis finished2023-12-10 19:32:51.472634
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1520
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean760.5
Minimum1
Maximum1520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T04:32:51.579519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile76.95
Q1380.75
median760.5
Q31140.25
95-th percentile1444.05
Maximum1520
Range1519
Interquartile range (IQR)759.5

Descriptive statistics

Standard deviation438.93052
Coefficient of variation (CV)0.57716044
Kurtosis-1.2
Mean760.5
Median Absolute Deviation (MAD)380
Skewness0
Sum1155960
Variance192660
MonotonicityStrictly increasing
2023-12-11T04:32:51.802422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1012 1
 
0.1%
1021 1
 
0.1%
1020 1
 
0.1%
1019 1
 
0.1%
1018 1
 
0.1%
1017 1
 
0.1%
1016 1
 
0.1%
1015 1
 
0.1%
1014 1
 
0.1%
Other values (1510) 1510
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 (%)
1520 1
0.1%
1519 1
0.1%
1518 1
0.1%
1517 1
0.1%
1516 1
0.1%
1515 1
0.1%
1514 1
0.1%
1513 1
0.1%
1512 1
0.1%
1511 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
체육도장업
1520 

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 1520
100.0%

Length

2023-12-11T04:32:52.035651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:52.505130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1520
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
10_41_01_P
1520 

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 1520
100.0%

Length

2023-12-11T04:32:52.653118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:52.811153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_41_01_p 1520
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453125
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T04:32:52.954605image/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 deviation19809.1
Coefficient of variation (CV)0.0057365718
Kurtosis-0.78899181
Mean3453125
Median Absolute Deviation (MAD)10000
Skewness-0.55457294
Sum5.24875 × 109
Variance3.9240043 × 108
MonotonicityIncreasing
2023-12-11T04:32:53.170157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 366
24.1%
3450000 309
20.3%
3460000 264
17.4%
3420000 202
13.3%
3480000 168
11.1%
3430000 100
 
6.6%
3440000 75
 
4.9%
3410000 36
 
2.4%
ValueCountFrequency (%)
3410000 36
 
2.4%
3420000 202
13.3%
3430000 100
 
6.6%
3440000 75
 
4.9%
3450000 309
20.3%
3460000 264
17.4%
3470000 366
24.1%
3480000 168
11.1%
ValueCountFrequency (%)
3480000 168
11.1%
3470000 366
24.1%
3460000 264
17.4%
3450000 309
20.3%
3440000 75
 
4.9%
3430000 100
 
6.6%
3420000 202
13.3%
3410000 36
 
2.4%
Distinct480
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2023-12-11T04:32:53.429965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters30400
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)9.2%

Sample

1st rowCDFH3301022002000001
2nd rowCDFH3301022002000014
3rd rowCDFH3301022005000001
4th rowCDFH3301022005000002
5th rowCDFH3301022002000010
ValueCountFrequency (%)
cdfh3301022002000001 8
 
0.5%
cdfh3301022015000001 8
 
0.5%
cdfh3301022010000002 8
 
0.5%
cdfh3301022022000001 8
 
0.5%
cdfh3301022020000003 8
 
0.5%
cdfh3301022020000002 8
 
0.5%
cdfh3301022020000001 8
 
0.5%
cdfh3301022014000001 8
 
0.5%
cdfh3301022005000002 8
 
0.5%
cdfh3301022005000001 8
 
0.5%
Other values (470) 1440
94.7%
2023-12-11T04:32:53.917109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12442
40.9%
3 3382
 
11.1%
2 3324
 
10.9%
1 2969
 
9.8%
C 1520
 
5.0%
D 1520
 
5.0%
F 1520
 
5.0%
H 1520
 
5.0%
9 809
 
2.7%
4 312
 
1.0%
Other values (4) 1082
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24320
80.0%
Uppercase Letter 6080
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12442
51.2%
3 3382
 
13.9%
2 3324
 
13.7%
1 2969
 
12.2%
9 809
 
3.3%
4 312
 
1.3%
5 293
 
1.2%
7 266
 
1.1%
8 262
 
1.1%
6 261
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 1520
25.0%
D 1520
25.0%
F 1520
25.0%
H 1520
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24320
80.0%
Latin 6080
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12442
51.2%
3 3382
 
13.9%
2 3324
 
13.7%
1 2969
 
12.2%
9 809
 
3.3%
4 312
 
1.3%
5 293
 
1.2%
7 266
 
1.1%
8 262
 
1.1%
6 261
 
1.1%
Latin
ValueCountFrequency (%)
C 1520
25.0%
D 1520
25.0%
F 1520
25.0%
H 1520
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12442
40.9%
3 3382
 
11.1%
2 3324
 
10.9%
1 2969
 
9.8%
C 1520
 
5.0%
D 1520
 
5.0%
F 1520
 
5.0%
H 1520
 
5.0%
9 809
 
2.7%
4 312
 
1.0%
Other values (4) 1082
 
3.6%
Distinct1312
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
Minimum1971-09-29 00:00:00
Maximum2023-06-23 00:00:00
2023-12-11T04:32:54.102616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:32:54.329273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1520
Missing (%)100.0%
Memory size13.5 KiB
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
1
794 
3
635 
4
83 
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 (%)
1 794
52.2%
3 635
41.8%
4 83
 
5.5%
2 8
 
0.5%

Length

2023-12-11T04:32:54.538921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:54.711222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 794
52.2%
3 635
41.8%
4 83
 
5.5%
2 8
 
0.5%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
영업/정상
794 
폐업
635 
취소/말소/만료/정지/중지
83 
휴업
 
8

Length

Max length14
Median length5
Mean length4.2223684
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 794
52.2%
폐업 635
41.8%
취소/말소/만료/정지/중지 83
 
5.5%
휴업 8
 
0.5%

Length

2023-12-11T04:32:54.920376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:55.095816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 794
52.2%
폐업 635
41.8%
취소/말소/만료/정지/중지 83
 
5.5%
휴업 8
 
0.5%
Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
13
794 
3
634 
35
83 
2
 
8
34
 
1

Length

Max length2
Median length2
Mean length1.5776316
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 794
52.2%
3 634
41.7%
35 83
 
5.5%
2 8
 
0.5%
34 1
 
0.1%

Length

2023-12-11T04:32:55.271236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:55.416689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 794
52.2%
3 634
41.7%
35 83
 
5.5%
2 8
 
0.5%
34 1
 
0.1%
Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
영업중
794 
폐업
634 
직권말소
83 
휴업
 
8
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.6335526
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 794
52.2%
폐업 634
41.7%
직권말소 83
 
5.5%
휴업 8
 
0.5%
영업장폐쇄 1
 
0.1%

Length

2023-12-11T04:32:55.599598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:55.767669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 794
52.2%
폐업 634
41.7%
직권말소 83
 
5.5%
휴업 8
 
0.5%
영업장폐쇄 1
 
0.1%

폐업일자
Date

MISSING 

Distinct594
Distinct (%)82.8%
Missing803
Missing (%)52.8%
Memory size12.0 KiB
Minimum1998-09-30 00:00:00
Maximum2023-05-18 00:00:00
2023-12-11T04:32:55.952960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:32:56.174163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct7
Distinct (%)87.5%
Missing1512
Missing (%)99.5%
Memory size12.0 KiB
Minimum2008-03-24 00:00:00
Maximum2022-02-15 00:00:00
2023-12-11T04:32:56.391677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:32:56.537777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업종료일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing1512
Missing (%)99.5%
Memory size12.0 KiB
Minimum2008-08-24 00:00:00
Maximum2026-12-30 00:00:00
2023-12-11T04:32:56.691370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:32:56.869242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1520
Missing (%)100.0%
Memory size13.5 KiB

소재지전화
Text

MISSING 

Distinct999
Distinct (%)94.7%
Missing465
Missing (%)30.6%
Memory size12.0 KiB
2023-12-11T04:32:57.213521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.091943
Min length7

Characters and Unicode

Total characters10647
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

Unique946 ?
Unique (%)89.7%

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%
626-8550 2
 
0.2%
383-6008 2
 
0.2%
472-0019 2
 
0.2%
053-981-9815 2
 
0.2%
053-638-2343 2
 
0.2%
053-583-7529 2
 
0.2%
957-5448 2
 
0.2%
323-9683 2
 
0.2%
Other values (992) 1036
97.8%
2023-12-11T04:32:57.809172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1581
14.8%
5 1580
14.8%
3 1418
13.3%
0 1071
10.1%
6 853
8.0%
2 799
7.5%
7 797
7.5%
1 734
6.9%
8 623
 
5.9%
9 608
 
5.7%
Other values (4) 583
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9059
85.1%
Dash Punctuation 1581
 
14.8%
Space Separator 4
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1580
17.4%
3 1418
15.7%
0 1071
11.8%
6 853
9.4%
2 799
8.8%
7 797
8.8%
1 734
8.1%
8 623
 
6.9%
9 608
 
6.7%
4 576
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 1581
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 10647
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1581
14.8%
5 1580
14.8%
3 1418
13.3%
0 1071
10.1%
6 853
8.0%
2 799
7.5%
7 797
7.5%
1 734
6.9%
8 623
 
5.9%
9 608
 
5.7%
Other values (4) 583
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10647
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1581
14.8%
5 1580
14.8%
3 1418
13.3%
0 1071
10.1%
6 853
8.0%
2 799
7.5%
7 797
7.5%
1 734
6.9%
8 623
 
5.9%
9 608
 
5.7%
Other values (4) 583
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1520
Missing (%)100.0%
Memory size13.5 KiB

소재지우편번호
Text

MISSING 

Distinct360
Distinct (%)45.6%
Missing731
Missing (%)48.1%
Memory size12.0 KiB
2023-12-11T04:32:58.267835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters5523
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

Unique174 ?
Unique (%)22.1%

Sample

1st row700-807
2nd row700-808
3rd row700-808
4th row700-805
5th row700-440
ValueCountFrequency (%)
711-812 13
 
1.6%
704-803 12
 
1.5%
704-936 11
 
1.4%
704-808 10
 
1.3%
704-902 9
 
1.1%
704-830 8
 
1.0%
706-808 8
 
1.0%
704-941 8
 
1.0%
704-838 7
 
0.9%
706-140 7
 
0.9%
Other values (350) 696
88.2%
2023-12-11T04:32:58.904783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1079
19.5%
7 943
17.1%
- 789
14.3%
8 641
11.6%
4 427
 
7.7%
1 411
 
7.4%
2 367
 
6.6%
3 308
 
5.6%
6 221
 
4.0%
9 179
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4734
85.7%
Dash Punctuation 789
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1079
22.8%
7 943
19.9%
8 641
13.5%
4 427
 
9.0%
1 411
 
8.7%
2 367
 
7.8%
3 308
 
6.5%
6 221
 
4.7%
9 179
 
3.8%
5 158
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 789
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5523
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1079
19.5%
7 943
17.1%
- 789
14.3%
8 641
11.6%
4 427
 
7.7%
1 411
 
7.4%
2 367
 
6.6%
3 308
 
5.6%
6 221
 
4.0%
9 179
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5523
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1079
19.5%
7 943
17.1%
- 789
14.3%
8 641
11.6%
4 427
 
7.7%
1 411
 
7.4%
2 367
 
6.6%
3 308
 
5.6%
6 221
 
4.0%
9 179
 
3.2%

소재지전체주소
Text

MISSING 

Distinct1423
Distinct (%)95.9%
Missing36
Missing (%)2.4%
Memory size12.0 KiB
2023-12-11T04:32:59.448988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length25.221698
Min length13

Characters and Unicode

Total characters37429
Distinct characters312
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

Unique1366 ?
Unique (%)92.0%

Sample

1st row대구광역시 중구 동인동4가 424-2번지
2nd row대구광역시 중구 남산동 2501-16번지
3rd row대구광역시 중구 남산동 2971-11번지
4th row대구광역시 중구 남산동 2971-11번지
5th row대구광역시 중구 남산동 2482-458번지
ValueCountFrequency (%)
대구광역시 1484
 
20.6%
달서구 344
 
4.8%
북구 306
 
4.3%
수성구 262
 
3.6%
동구 202
 
2.8%
달성군 163
 
2.3%
2층 102
 
1.4%
서구 98
 
1.4%
3층 82
 
1.1%
남구 75
 
1.0%
Other values (1916) 4074
56.6%
2023-12-11T04:33:00.432995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7046
18.8%
2862
 
7.6%
1747
 
4.7%
1 1725
 
4.6%
1613
 
4.3%
1519
 
4.1%
1497
 
4.0%
1491
 
4.0%
1193
 
3.2%
2 1117
 
3.0%
Other values (302) 15619
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21321
57.0%
Decimal Number 7780
 
20.8%
Space Separator 7046
 
18.8%
Dash Punctuation 1096
 
2.9%
Other Punctuation 54
 
0.1%
Close Punctuation 44
 
0.1%
Open Punctuation 44
 
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 (%)
2862
 
13.4%
1747
 
8.2%
1613
 
7.6%
1519
 
7.1%
1497
 
7.0%
1491
 
7.0%
1193
 
5.6%
1013
 
4.8%
593
 
2.8%
530
 
2.5%
Other values (268) 7263
34.1%
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%
H 1
 
2.9%
J 1
 
2.9%
Other values (2) 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 1725
22.2%
2 1117
14.4%
3 895
11.5%
0 823
10.6%
4 666
 
8.6%
5 641
 
8.2%
6 494
 
6.3%
8 487
 
6.3%
7 481
 
6.2%
9 451
 
5.8%
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 (%)
7046
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1096
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 21320
57.0%
Common 16069
42.9%
Latin 39
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2862
 
13.4%
1747
 
8.2%
1613
 
7.6%
1519
 
7.1%
1497
 
7.0%
1491
 
7.0%
1193
 
5.6%
1013
 
4.8%
593
 
2.8%
530
 
2.5%
Other values (267) 7262
34.1%
Common
ValueCountFrequency (%)
7046
43.8%
1 1725
 
10.7%
2 1117
 
7.0%
- 1096
 
6.8%
3 895
 
5.6%
0 823
 
5.1%
4 666
 
4.1%
5 641
 
4.0%
6 494
 
3.1%
8 487
 
3.0%
Other values (11) 1079
 
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%
H 1
 
2.6%
Other values (3) 3
 
7.7%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21320
57.0%
ASCII 16107
43.0%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7046
43.7%
1 1725
 
10.7%
2 1117
 
6.9%
- 1096
 
6.8%
3 895
 
5.6%
0 823
 
5.1%
4 666
 
4.1%
5 641
 
4.0%
6 494
 
3.1%
8 487
 
3.0%
Other values (23) 1117
 
6.9%
Hangul
ValueCountFrequency (%)
2862
 
13.4%
1747
 
8.2%
1613
 
7.6%
1519
 
7.1%
1497
 
7.0%
1491
 
7.0%
1193
 
5.6%
1013
 
4.8%
593
 
2.8%
530
 
2.5%
Other values (267) 7262
34.1%
CJK
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1456
Distinct (%)97.8%
Missing31
Missing (%)2.0%
Memory size12.0 KiB
2023-12-11T04:33:01.119653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length55
Mean length30.290128
Min length20

Characters and Unicode

Total characters45102
Distinct characters345
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

Unique1423 ?
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 1489
 
16.6%
달서구 362
 
4.0%
북구 306
 
3.4%
수성구 261
 
2.9%
동구 200
 
2.2%
2층 162
 
1.8%
달성군 158
 
1.8%
3층 123
 
1.4%
서구 100
 
1.1%
4층 90
 
1.0%
Other values (1848) 5695
63.7%
2023-12-11T04:33:01.998405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7785
 
17.3%
3007
 
6.7%
1978
 
4.4%
1846
 
4.1%
1535
 
3.4%
1522
 
3.4%
1498
 
3.3%
1459
 
3.2%
1 1428
 
3.2%
( 1413
 
3.1%
Other values (335) 21631
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25732
57.1%
Space Separator 7785
 
17.3%
Decimal Number 7259
 
16.1%
Open Punctuation 1413
 
3.1%
Close Punctuation 1413
 
3.1%
Other Punctuation 1273
 
2.8%
Dash Punctuation 171
 
0.4%
Uppercase Letter 40
 
0.1%
Math Symbol 11
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3007
 
11.7%
1978
 
7.7%
1846
 
7.2%
1535
 
6.0%
1522
 
5.9%
1498
 
5.8%
1459
 
5.7%
674
 
2.6%
651
 
2.5%
641
 
2.5%
Other values (300) 10921
42.4%
Uppercase Letter
ValueCountFrequency (%)
B 11
27.5%
A 7
17.5%
T 4
 
10.0%
H 3
 
7.5%
L 3
 
7.5%
K 3
 
7.5%
P 2
 
5.0%
M 2
 
5.0%
S 1
 
2.5%
U 1
 
2.5%
Other values (3) 3
 
7.5%
Decimal Number
ValueCountFrequency (%)
1 1428
19.7%
2 1338
18.4%
3 940
12.9%
0 875
12.1%
4 671
9.2%
5 611
8.4%
6 459
 
6.3%
7 361
 
5.0%
9 288
 
4.0%
8 288
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1260
99.0%
. 6
 
0.5%
/ 5
 
0.4%
@ 1
 
0.1%
· 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 10
90.9%
+ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
7785
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1413
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1413
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 171
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25731
57.1%
Common 19325
42.8%
Latin 45
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3007
 
11.7%
1978
 
7.7%
1846
 
7.2%
1535
 
6.0%
1522
 
5.9%
1498
 
5.8%
1459
 
5.7%
674
 
2.6%
651
 
2.5%
641
 
2.5%
Other values (299) 10920
42.4%
Common
ValueCountFrequency (%)
7785
40.3%
1 1428
 
7.4%
( 1413
 
7.3%
) 1413
 
7.3%
2 1338
 
6.9%
, 1260
 
6.5%
3 940
 
4.9%
0 875
 
4.5%
4 671
 
3.5%
5 611
 
3.2%
Other values (11) 1591
 
8.2%
Latin
ValueCountFrequency (%)
B 11
24.4%
A 7
15.6%
e 5
11.1%
T 4
 
8.9%
H 3
 
6.7%
L 3
 
6.7%
K 3
 
6.7%
P 2
 
4.4%
M 2
 
4.4%
S 1
 
2.2%
Other values (4) 4
 
8.9%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25731
57.1%
ASCII 19369
42.9%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7785
40.2%
1 1428
 
7.4%
( 1413
 
7.3%
) 1413
 
7.3%
2 1338
 
6.9%
, 1260
 
6.5%
3 940
 
4.9%
0 875
 
4.5%
4 671
 
3.5%
5 611
 
3.2%
Other values (24) 1635
 
8.4%
Hangul
ValueCountFrequency (%)
3007
 
11.7%
1978
 
7.7%
1846
 
7.2%
1535
 
6.0%
1522
 
5.9%
1498
 
5.8%
1459
 
5.7%
674
 
2.6%
651
 
2.5%
641
 
2.5%
Other values (299) 10920
42.4%
CJK
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Text

MISSING 

Distinct518
Distinct (%)54.4%
Missing567
Missing (%)37.3%
Memory size12.0 KiB
2023-12-11T04:33:02.586351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1133263
Min length5

Characters and Unicode

Total characters4873
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

Unique303 ?
Unique (%)31.8%

Sample

1st row41946
2nd row41977
3rd row700-813
4th row700-823
5th row700-112
ValueCountFrequency (%)
41026 13
 
1.4%
42974 10
 
1.0%
41423 9
 
0.9%
43008 9
 
0.9%
41493 8
 
0.8%
43018 8
 
0.8%
41443 7
 
0.7%
43017 7
 
0.7%
42918 7
 
0.7%
42761 6
 
0.6%
Other values (508) 869
91.2%
2023-12-11T04:33:03.431654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1258
25.8%
1 789
16.2%
2 742
15.2%
0 378
 
7.8%
7 354
 
7.3%
9 284
 
5.8%
5 280
 
5.7%
6 258
 
5.3%
8 242
 
5.0%
3 234
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4819
98.9%
Dash Punctuation 54
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1258
26.1%
1 789
16.4%
2 742
15.4%
0 378
 
7.8%
7 354
 
7.3%
9 284
 
5.9%
5 280
 
5.8%
6 258
 
5.4%
8 242
 
5.0%
3 234
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4873
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1258
25.8%
1 789
16.2%
2 742
15.2%
0 378
 
7.8%
7 354
 
7.3%
9 284
 
5.8%
5 280
 
5.7%
6 258
 
5.3%
8 242
 
5.0%
3 234
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4873
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1258
25.8%
1 789
16.2%
2 742
15.2%
0 378
 
7.8%
7 354
 
7.3%
9 284
 
5.8%
5 280
 
5.7%
6 258
 
5.3%
8 242
 
5.0%
3 234
 
4.8%
Distinct1459
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2023-12-11T04:33:03.929429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length8.0236842
Min length2

Characters and Unicode

Total characters12196
Distinct characters476
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

Unique1406 ?
Unique (%)92.5%

Sample

1st row무덕관 대구시본관
2nd row월드권투체육관
3rd row계명태권도장
4th row계명태권도장
5th row태권도까치장원도장
ValueCountFrequency (%)
태권도장 186
 
7.9%
태권도 103
 
4.4%
계명대 74
 
3.1%
용인대 34
 
1.4%
합기도 28
 
1.2%
체육관 21
 
0.9%
태권스쿨 14
 
0.6%
i 11
 
0.5%
2관 9
 
0.4%
국가대표 9
 
0.4%
Other values (1531) 1872
79.3%
2023-12-11T04:33:04.630255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1207
 
9.9%
1080
 
8.9%
1054
 
8.6%
841
 
6.9%
470
 
3.9%
436
 
3.6%
333
 
2.7%
264
 
2.2%
258
 
2.1%
164
 
1.3%
Other values (466) 6089
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10820
88.7%
Space Separator 841
 
6.9%
Uppercase Letter 286
 
2.3%
Decimal Number 94
 
0.8%
Lowercase Letter 68
 
0.6%
Close Punctuation 30
 
0.2%
Open Punctuation 29
 
0.2%
Other Punctuation 25
 
0.2%
Dash Punctuation 2
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1207
 
11.2%
1080
 
10.0%
1054
 
9.7%
470
 
4.3%
436
 
4.0%
333
 
3.1%
264
 
2.4%
258
 
2.4%
164
 
1.5%
160
 
1.5%
Other values (409) 5394
49.9%
Uppercase Letter
ValueCountFrequency (%)
A 33
11.5%
T 30
10.5%
I 25
 
8.7%
M 24
 
8.4%
N 22
 
7.7%
C 18
 
6.3%
E 16
 
5.6%
O 15
 
5.2%
K 15
 
5.2%
P 14
 
4.9%
Other values (13) 74
25.9%
Lowercase Letter
ValueCountFrequency (%)
i 11
16.2%
e 10
14.7%
l 6
8.8%
m 6
8.8%
a 5
7.4%
o 4
 
5.9%
n 4
 
5.9%
y 4
 
5.9%
h 3
 
4.4%
r 3
 
4.4%
Other values (7) 12
17.6%
Decimal Number
ValueCountFrequency (%)
2 52
55.3%
1 14
 
14.9%
3 11
 
11.7%
5 6
 
6.4%
8 5
 
5.3%
7 2
 
2.1%
9 2
 
2.1%
6 1
 
1.1%
4 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
& 13
52.0%
. 11
44.0%
, 1
 
4.0%
Space Separator
ValueCountFrequency (%)
841
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10819
88.7%
Common 1022
 
8.4%
Latin 354
 
2.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1207
 
11.2%
1080
 
10.0%
1054
 
9.7%
470
 
4.3%
436
 
4.0%
333
 
3.1%
264
 
2.4%
258
 
2.4%
164
 
1.5%
160
 
1.5%
Other values (408) 5393
49.8%
Latin
ValueCountFrequency (%)
A 33
 
9.3%
T 30
 
8.5%
I 25
 
7.1%
M 24
 
6.8%
N 22
 
6.2%
C 18
 
5.1%
E 16
 
4.5%
O 15
 
4.2%
K 15
 
4.2%
P 14
 
4.0%
Other values (30) 142
40.1%
Common
ValueCountFrequency (%)
841
82.3%
2 52
 
5.1%
) 30
 
2.9%
( 29
 
2.8%
1 14
 
1.4%
& 13
 
1.3%
3 11
 
1.1%
. 11
 
1.1%
5 6
 
0.6%
8 5
 
0.5%
Other values (7) 10
 
1.0%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10819
88.7%
ASCII 1375
 
11.3%
CJK 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1207
 
11.2%
1080
 
10.0%
1054
 
9.7%
470
 
4.3%
436
 
4.0%
333
 
3.1%
264
 
2.4%
258
 
2.4%
164
 
1.5%
160
 
1.5%
Other values (408) 5393
49.8%
ASCII
ValueCountFrequency (%)
841
61.2%
2 52
 
3.8%
A 33
 
2.4%
T 30
 
2.2%
) 30
 
2.2%
( 29
 
2.1%
I 25
 
1.8%
M 24
 
1.7%
N 22
 
1.6%
C 18
 
1.3%
Other values (46) 271
 
19.7%
CJK
ValueCountFrequency (%)
1
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

최종수정시점
Date

UNIQUE 

Distinct1520
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
Minimum2002-12-14 09:38:18
Maximum2023-06-28 14:29:14
2023-12-11T04:33:04.836874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:33:05.034119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
I
790 
U
730 

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 790
52.0%
U 730
48.0%

Length

2023-12-11T04:33:05.244422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:33:05.401652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 790
52.0%
u 730
48.0%
Distinct469
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-06-30 02:40:00
2023-12-11T04:33:05.568119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:33:05.804010image/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 size12.0 KiB
태권도
678 
<NA>
568 
권투
101 
합기도
81 
유도
 
42
Other values (3)
 
50

Length

Max length4
Median length3
Mean length3.2486842
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 678
44.6%
<NA> 568
37.4%
권투 101
 
6.6%
합기도 81
 
5.3%
유도 42
 
2.8%
검도 39
 
2.6%
우슈 8
 
0.5%
레슬링 3
 
0.2%

Length

2023-12-11T04:33:06.035872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:33:06.189379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태권도 678
44.6%
na 568
37.4%
권투 101
 
6.6%
합기도 81
 
5.3%
유도 42
 
2.8%
검도 39
 
2.6%
우슈 8
 
0.5%
레슬링 3
 
0.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1247
Distinct (%)82.9%
Missing16
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean342402.42
Minimum327433.97
Maximum357933.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T04:33:06.383552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327433.97
5-th percentile332123.77
Q1338489.62
median341578.15
Q3346349.04
95-th percentile354207.21
Maximum357933.24
Range30499.269
Interquartile range (IQR)7859.4142

Descriptive statistics

Standard deviation6075.6032
Coefficient of variation (CV)0.017744043
Kurtosis-0.1860042
Mean342402.42
Median Absolute Deviation (MAD)4078.8893
Skewness0.19367932
Sum5.1497324 × 108
Variance36912954
MonotonicityNot monotonic
2023-12-11T04:33:06.586076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
356310.91765893 4
 
0.3%
339230.845140453 4
 
0.3%
340273.190840684 4
 
0.3%
345871.235990206 4
 
0.3%
341429.512780832 4
 
0.3%
346084.328569203 3
 
0.2%
334460.797623797 3
 
0.2%
345871.559718053 3
 
0.2%
347544.089245298 3
 
0.2%
331432.713792093 3
 
0.2%
Other values (1237) 1469
96.6%
(Missing) 16
 
1.1%
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 

Distinct1247
Distinct (%)82.9%
Missing16
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean263025.98
Minimum240358.72
Maximum273712.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T04:33:07.135827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240358.72
5-th percentile256379.82
Q1260678.1
median263099.9
Q3265868.68
95-th percentile271973.25
Maximum273712.08
Range33353.36
Interquartile range (IQR)5190.5825

Descriptive statistics

Standard deviation5441.412
Coefficient of variation (CV)0.020687736
Kurtosis3.4939381
Mean263025.98
Median Absolute Deviation (MAD)2631.4833
Skewness-1.0924615
Sum3.9559107 × 108
Variance29608965
MonotonicityNot monotonic
2023-12-11T04:33:07.407702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264295.293905556 4
 
0.3%
261410.555121064 4
 
0.3%
272329.344510931 4
 
0.3%
264640.949281828 4
 
0.3%
266453.994731351 4
 
0.3%
261555.956509075 3
 
0.2%
264332.254200789 3
 
0.2%
264412.965294564 3
 
0.2%
261408.21288721 3
 
0.2%
244561.674164791 3
 
0.2%
Other values (1237) 1469
96.6%
(Missing) 16
 
1.1%
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 (%)
273712.08248913 1
 
0.1%
273589.424447926 1
 
0.1%
273584.927184579 2
0.1%
273549.424517431 1
 
0.1%
273544.247323898 1
 
0.1%
273287.318216073 2
0.1%
273215.64707818 1
 
0.1%
273154.517512889 3
0.2%
273141.838525595 1
 
0.1%
273134.589051241 1
 
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
체육도장업
1520 

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 1520
100.0%

Length

2023-12-11T04:33:07.661407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:33:07.819562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1520
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
사립
1517 
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 1517
99.8%
공립 3
 
0.2%

Length

2023-12-11T04:33:08.013567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:33:08.187191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1517
99.8%
공립 3
 
0.2%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
<NA>
1232 
0
281 
Y
 
7

Length

Max length4
Median length4
Mean length3.4315789
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> 1232
81.1%
0 281
 
18.5%
Y 7
 
0.5%

Length

2023-12-11T04:33:08.356707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:33:08.538516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1232
81.1%
0 281
 
18.5%
y 7
 
0.5%

지도자수
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
<NA>
745 
1
574 
0
188 
2
 
13

Length

Max length4
Median length1
Mean length2.4703947
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> 745
49.0%
1 574
37.8%
0 188
 
12.4%
2 13
 
0.9%

Length

2023-12-11T04:33:08.749666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:33:08.938785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 745
49.0%
1 574
37.8%
0 188
 
12.4%
2 13
 
0.9%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.6%
Missing1142
Missing (%)75.1%
Infinite0
Infinite (%)0.0%
Mean0.66137566
Minimum0
Maximum122
Zeros255
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T04:33:09.154708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation6.2796577
Coefficient of variation (CV)9.4948425
Kurtosis372.66053
Mean0.66137566
Median Absolute Deviation (MAD)0
Skewness19.237464
Sum250
Variance39.434101
MonotonicityNot monotonic
2023-12-11T04:33:09.353026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 255
 
16.8%
1 119
 
7.8%
4 1
 
0.1%
122 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
(Missing) 1142
75.1%
ValueCountFrequency (%)
0 255
16.8%
1 119
7.8%
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
7.8%
0 255
16.8%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct446
Distinct (%)67.2%
Missing856
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean793.29133
Minimum0
Maximum22199.95
Zeros193
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T04:33:09.551518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median196.795
Q3925.8225
95-th percentile3380.3275
Maximum22199.95
Range22199.95
Interquartile range (IQR)925.8225

Descriptive statistics

Standard deviation1638.9355
Coefficient of variation (CV)2.0659945
Kurtosis58.252461
Mean793.29133
Median Absolute Deviation (MAD)196.795
Skewness6.0526974
Sum526745.44
Variance2686109.5
MonotonicityNot monotonic
2023-12-11T04:33:09.761544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 193
 
12.7%
99.0 7
 
0.5%
1979.36 2
 
0.1%
4540.17 2
 
0.1%
4995.48 2
 
0.1%
940.17 2
 
0.1%
2316.89 2
 
0.1%
1652.48 2
 
0.1%
1841.28 2
 
0.1%
1166.27 2
 
0.1%
Other values (436) 448
29.5%
(Missing) 856
56.3%
ValueCountFrequency (%)
0.0 193
12.7%
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 (%)2.8%
Missing1238
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean3.177305
Minimum0
Maximum100
Zeros261
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T04:33:09.945605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation12.491867
Coefficient of variation (CV)3.9315921
Kurtosis24.870367
Mean3.177305
Median Absolute Deviation (MAD)0
Skewness4.6879429
Sum896
Variance156.04674
MonotonicityNot monotonic
2023-12-11T04:33:10.122358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 261
 
17.2%
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) 1238
81.4%
ValueCountFrequency (%)
0 261
17.2%
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%
0 261
17.2%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1520
Missing (%)100.0%
Memory size13.5 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1520
Missing (%)100.0%
Memory size13.5 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
15101511체육도장업10_41_01_P3480000CDFH33010220090000032009-03-26<NA>3폐업3폐업2009-12-16<NA><NA><NA>053)591-4588<NA>711-812대구광역시 달성군 다사읍 매곡리 719-2번지 강창1차삼산아파트 104동대구광역시 달성군 다사읍 달구벌대로 790, 104동 (강창1차삼산아파트)<NA>드림태권도2009-12-17 10:57:50I2018-08-31 23:59:59<NA>331685.390023263366.296869체육도장업사립<NA>1<NA><NA><NA><NA><NA>
15111512체육도장업10_41_01_P3480000CDFH33010220090000042009-05-11<NA>3폐업3폐업2013-06-17<NA><NA><NA>053-588-5912<NA>711-812대구광역시 달성군 다사읍 매곡리 300-4번지대구광역시 달성군 다사읍 왕선로1길 2<NA>다사태글리쉬2013-06-17 15:42:17I2018-08-31 23:59:59<NA>332182.658523263622.991739체육도장업사립<NA>1<NA>489.12<NA><NA><NA>
15121513체육도장업10_41_01_P3480000CDFH33010220090000062009-12-03<NA>3폐업3폐업2015-12-07<NA><NA><NA>070-7792-2586<NA>711-838대구광역시 달성군 화원읍 본리리 109-2번지 5층대구광역시 달성군 화원읍 성암로1길 9 (5층)<NA>세별 키즈 스포츠클럽2015-12-07 17:16:24I2018-08-31 23:59:59<NA>336379.890528256806.566319체육도장업사립<NA>1<NA><NA><NA><NA><NA>
15131514체육도장업10_41_01_P3480000CDFH33010220090000072009-12-17<NA>3폐업3폐업2013-04-19<NA><NA><NA>053-591-0025<NA>711-812대구광역시 달성군 다사읍 매곡리 491번지 4층대구광역시 달성군 다사읍 다사역로 39 (4층)<NA>드림태권도배움터2013-04-19 17:02:29I2018-08-31 23:59:59<NA>331597.649165263824.496118체육도장업사립<NA>1<NA><NA>80<NA><NA>
15141515체육도장업10_41_01_P3480000CDFH33010220000000112000-06-02<NA>3폐업3폐업2019-08-01<NA><NA><NA>636-8022<NA>711-832대구광역시 달성군 화원읍 명곡리 택지개발지구 준주거용지 제7호<NA><NA>신일태권도2019-08-01 13:33:13U2019-08-03 02:40:00태권도<NA><NA>체육도장업사립<NA><NA><NA>115.7<NA><NA><NA>
15151516체육도장업10_41_01_P3480000CDFH33010220000000122000-09-27<NA>3폐업3폐업2017-07-27<NA><NA><NA>616-1454<NA>711-851대구광역시 달성군 논공읍 금포리 1503-0004번지<NA><NA>금포태권도2017-07-27 13:30:14I2018-08-31 23:59:59태권도328790.661316253711.935934체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
15161517체육도장업10_41_01_P3480000CDFH33010220200000172020-12-02<NA>3폐업3폐업2021-01-06<NA><NA><NA>053-637-5579<NA><NA>대구광역시 달성군 다사읍 세천리 1571-6 3층 301,302호대구광역시 달성군 다사읍 세천북로 17, 3층 301,302호42922아이비 태권도2021-01-07 15:38:27U2021-01-09 02:40:00태권도333490.900599265020.428693체육도장업사립<NA>1<NA><NA><NA><NA><NA>
15171518체육도장업10_41_01_P3480000CDFH33010220190000012019-03-05<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 태권도장2022-05-06 14:13:32U2022-05-08 02:40:00태권도331836.336854263114.004828체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
15181519체육도장업10_41_01_P3480000CDFH33010220220000032022-04-20<NA>1영업/정상13영업중<NA><NA><NA><NA>053-583-7529<NA><NA>대구광역시 달성군 다사읍 죽곡리 824-1대구광역시 달성군 다사읍 대실역남로2길 20, 2층42920계명대 가람태권도장22022-04-20 14:15:15I2022-04-22 00:22:33태권도332497.476208262303.989687체육도장업사립<NA>10283.00<NA><NA>
15191520체육도장업10_41_01_P3480000CDFH33010220190000022019-04-09<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)42918계명대태양9태권도장2021-05-13 13:04:00U2021-05-15 02:40:00태권도332102.190328262589.09627체육도장업사립<NA><NA><NA><NA><NA><NA><NA>