Overview

Dataset statistics

Number of variables37
Number of observations748
Missing cells7726
Missing cells (%)27.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory233.1 KiB
Average record size in memory319.2 B

Variable types

Numeric10
Categorical13
Text5
Unsupported8
DateTime1

Dataset

Description6270000_대구광역시_10_31_01_P_골프연습장업_7월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000048448&dataSetDetailId=DDI_0000048471&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
지도자수 is highly imbalanced (77.4%)Imbalance
회원모집총인원 is highly imbalanced (97.8%)Imbalance
인허가취소일자 has 748 (100.0%) missing valuesMissing
폐업일자 has 489 (65.4%) missing valuesMissing
휴업시작일자 has 748 (100.0%) missing valuesMissing
휴업종료일자 has 748 (100.0%) missing valuesMissing
재개업일자 has 748 (100.0%) missing valuesMissing
소재지전화 has 123 (16.4%) missing valuesMissing
소재지면적 has 748 (100.0%) missing valuesMissing
소재지우편번호 has 303 (40.5%) missing valuesMissing
소재지전체주소 has 20 (2.7%) missing valuesMissing
도로명전체주소 has 13 (1.7%) missing valuesMissing
도로명우편번호 has 243 (32.5%) missing valuesMissing
업태구분명 has 748 (100.0%) missing valuesMissing
좌표정보(X) has 9 (1.2%) missing valuesMissing
좌표정보(Y) has 9 (1.2%) missing valuesMissing
건축물연면적 has 533 (71.3%) missing valuesMissing
세부업종명 has 748 (100.0%) missing valuesMissing
법인명 has 748 (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
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
업태구분명 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

Reproduction

Analysis started2024-04-18 02:24:44.610957
Analysis finished2024-04-18 02:24:45.306784
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct748
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean374.5
Minimum1
Maximum748
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T11:24:45.363366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile38.35
Q1187.75
median374.5
Q3561.25
95-th percentile710.65
Maximum748
Range747
Interquartile range (IQR)373.5

Descriptive statistics

Standard deviation216.07329
Coefficient of variation (CV)0.57696473
Kurtosis-1.2
Mean374.5
Median Absolute Deviation (MAD)187
Skewness0
Sum280126
Variance46687.667
MonotonicityStrictly increasing
2024-04-18T11:24:45.497507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
504 1
 
0.1%
495 1
 
0.1%
496 1
 
0.1%
497 1
 
0.1%
498 1
 
0.1%
499 1
 
0.1%
500 1
 
0.1%
501 1
 
0.1%
502 1
 
0.1%
Other values (738) 738
98.7%
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 (%)
748 1
0.1%
747 1
0.1%
746 1
0.1%
745 1
0.1%
744 1
0.1%
743 1
0.1%
742 1
0.1%
741 1
0.1%
740 1
0.1%
739 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
골프연습장업
748 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row골프연습장업
2nd row골프연습장업
3rd row골프연습장업
4th row골프연습장업
5th row골프연습장업

Common Values

ValueCountFrequency (%)
골프연습장업 748
100.0%

Length

2024-04-18T11:24:45.634967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:24:45.724380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 748
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
10_31_01_P
748 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10_31_01_P
2nd row10_31_01_P
3rd row10_31_01_P
4th row10_31_01_P
5th row10_31_01_P

Common Values

ValueCountFrequency (%)
10_31_01_P 748
100.0%

Length

2024-04-18T11:24:45.812676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:24:45.911184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_31_01_p 748
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453262
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T11:24:45.987094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13450000
median3460000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)20000

Descriptive statistics

Standard deviation19382.732
Coefficient of variation (CV)0.005612876
Kurtosis-0.41952341
Mean3453262
Median Absolute Deviation (MAD)10000
Skewness-0.80890495
Sum2.58304 × 109
Variance3.7569028 × 108
MonotonicityIncreasing
2024-04-18T11:24:46.093155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 192
25.7%
3460000 191
25.5%
3450000 138
18.4%
3420000 94
12.6%
3480000 51
 
6.8%
3410000 30
 
4.0%
3430000 30
 
4.0%
3440000 22
 
2.9%
ValueCountFrequency (%)
3410000 30
 
4.0%
3420000 94
12.6%
3430000 30
 
4.0%
3440000 22
 
2.9%
3450000 138
18.4%
3460000 191
25.5%
3470000 192
25.7%
3480000 51
 
6.8%
ValueCountFrequency (%)
3480000 51
 
6.8%
3470000 192
25.7%
3460000 191
25.5%
3450000 138
18.4%
3440000 22
 
2.9%
3430000 30
 
4.0%
3420000 94
12.6%
3410000 30
 
4.0%

관리번호
Text

Distinct243
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-18T11:24:46.279017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters14960
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

Unique64 ?
Unique (%)8.6%

Sample

1st rowCDFH3301052012000001
2nd rowCDFH3301052008000003
3rd rowCDFH3301052009000001
4th rowCDFH3301052005000001
5th rowCDFH3301052001000001
ValueCountFrequency (%)
cdfh3301052012000001 8
 
1.1%
cdfh3301052010000001 8
 
1.1%
cdfh3301052010000002 8
 
1.1%
cdfh3301052008000001 8
 
1.1%
cdfh3301052010000003 8
 
1.1%
cdfh3301052007000001 8
 
1.1%
cdfh3301052008000003 7
 
0.9%
cdfh3301052017000001 7
 
0.9%
cdfh3301052018000001 7
 
0.9%
cdfh3301052005000001 7
 
0.9%
Other values (233) 672
89.8%
2024-04-18T11:24:46.552583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6284
42.0%
3 1651
 
11.0%
1 1492
 
10.0%
2 934
 
6.2%
5 866
 
5.8%
C 748
 
5.0%
D 748
 
5.0%
F 748
 
5.0%
H 748
 
5.0%
9 186
 
1.2%
Other values (4) 555
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11968
80.0%
Uppercase Letter 2992
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6284
52.5%
3 1651
 
13.8%
1 1492
 
12.5%
2 934
 
7.8%
5 866
 
7.2%
9 186
 
1.6%
8 159
 
1.3%
7 145
 
1.2%
4 137
 
1.1%
6 114
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 748
25.0%
D 748
25.0%
F 748
25.0%
H 748
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11968
80.0%
Latin 2992
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6284
52.5%
3 1651
 
13.8%
1 1492
 
12.5%
2 934
 
7.8%
5 866
 
7.2%
9 186
 
1.6%
8 159
 
1.3%
7 145
 
1.2%
4 137
 
1.1%
6 114
 
1.0%
Latin
ValueCountFrequency (%)
C 748
25.0%
D 748
25.0%
F 748
25.0%
H 748
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6284
42.0%
3 1651
 
11.0%
1 1492
 
10.0%
2 934
 
6.2%
5 866
 
5.8%
C 748
 
5.0%
D 748
 
5.0%
F 748
 
5.0%
H 748
 
5.0%
9 186
 
1.2%
Other values (4) 555
 
3.7%

인허가일자
Real number (ℝ)

Distinct677
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20091986
Minimum19891220
Maximum20190624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T11:24:46.686791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19891220
5-th percentile20000954
Q120070122
median20090716
Q320121150
95-th percentile20180510
Maximum20190624
Range299404
Interquartile range (IQR)51028.5

Descriptive statistics

Standard deviation54153.966
Coefficient of variation (CV)0.0026953017
Kurtosis0.68393559
Mean20091986
Median Absolute Deviation (MAD)29906
Skewness-0.50958863
Sum1.5028806 × 1010
Variance2.932652 × 109
MonotonicityNot monotonic
2024-04-18T11:24:46.815604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080521 4
 
0.5%
20111108 3
 
0.4%
20070703 3
 
0.4%
20070607 3
 
0.4%
20100325 3
 
0.4%
20070919 3
 
0.4%
20080527 3
 
0.4%
20091112 3
 
0.4%
20070403 3
 
0.4%
20110524 2
 
0.3%
Other values (667) 718
96.0%
ValueCountFrequency (%)
19891220 1
0.1%
19900104 1
0.1%
19900308 1
0.1%
19901029 1
0.1%
19920326 1
0.1%
19920722 1
0.1%
19921005 1
0.1%
19930323 1
0.1%
19930424 1
0.1%
19930712 1
0.1%
ValueCountFrequency (%)
20190624 1
0.1%
20190529 1
0.1%
20190528 1
0.1%
20190509 1
0.1%
20190416 1
0.1%
20190411 1
0.1%
20190408 1
0.1%
20190319 1
0.1%
20190304 1
0.1%
20190226 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing748
Missing (%)100.0%
Memory size6.7 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
1
488 
3
227 
4
 
33

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 488
65.2%
3 227
30.3%
4 33
 
4.4%

Length

2024-04-18T11:24:46.928922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:24:47.015677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 488
65.2%
3 227
30.3%
4 33
 
4.4%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
영업/정상
488 
폐업
227 
취소/말소/만료/정지/중지
 
33

Length

Max length14
Median length5
Mean length4.486631
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row영업/정상
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 488
65.2%
폐업 227
30.3%
취소/말소/만료/정지/중지 33
 
4.4%

Length

2024-04-18T11:24:47.113201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:24:47.208762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 488
65.2%
폐업 227
30.3%
취소/말소/만료/정지/중지 33
 
4.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
13
488 
3
226 
35
 
33
34
 
1

Length

Max length2
Median length2
Mean length1.697861
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row35
2nd row13
3rd row35
4th row35
5th row35

Common Values

ValueCountFrequency (%)
13 488
65.2%
3 226
30.2%
35 33
 
4.4%
34 1
 
0.1%

Length

2024-04-18T11:24:47.302101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:24:47.390896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 488
65.2%
3 226
30.2%
35 33
 
4.4%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
영업중
488 
폐업
226 
직권말소
 
33
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.7446524
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row직권말소
2nd row영업중
3rd row직권말소
4th row직권말소
5th row직권말소

Common Values

ValueCountFrequency (%)
영업중 488
65.2%
폐업 226
30.2%
직권말소 33
 
4.4%
영업장폐쇄 1
 
0.1%

Length

2024-04-18T11:24:47.487644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:24:47.579908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 488
65.2%
폐업 226
30.2%
직권말소 33
 
4.4%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct211
Distinct (%)81.5%
Missing489
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean20136193
Minimum20030131
Maximum20190614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T11:24:47.679785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030131
5-th percentile20050503
Q120110607
median20140929
Q320170718
95-th percentile20190207
Maximum20190614
Range160483
Interquartile range (IQR)60111

Descriptive statistics

Standard deviation42597.312
Coefficient of variation (CV)0.00211546
Kurtosis-0.33746829
Mean20136193
Median Absolute Deviation (MAD)29977
Skewness-0.76696326
Sum5.2152741 × 109
Variance1.814531 × 109
MonotonicityNot monotonic
2024-04-18T11:24:47.809393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170718 13
 
1.7%
20140120 8
 
1.1%
20180905 6
 
0.8%
20190329 6
 
0.8%
20181026 5
 
0.7%
20140313 3
 
0.4%
20150114 2
 
0.3%
20050321 2
 
0.3%
20180605 2
 
0.3%
20090713 2
 
0.3%
Other values (201) 210
28.1%
(Missing) 489
65.4%
ValueCountFrequency (%)
20030131 1
0.1%
20030319 1
0.1%
20030624 1
0.1%
20040203 1
0.1%
20040305 1
0.1%
20040316 1
0.1%
20040413 1
0.1%
20040501 1
0.1%
20040531 1
0.1%
20040623 1
0.1%
ValueCountFrequency (%)
20190614 1
 
0.1%
20190514 1
 
0.1%
20190503 1
 
0.1%
20190418 1
 
0.1%
20190329 6
0.8%
20190226 1
 
0.1%
20190211 1
 
0.1%
20190207 2
 
0.3%
20190128 1
 
0.1%
20190124 1
 
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing748
Missing (%)100.0%
Memory size6.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing748
Missing (%)100.0%
Memory size6.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing748
Missing (%)100.0%
Memory size6.7 KiB

소재지전화
Text

MISSING 

Distinct606
Distinct (%)97.0%
Missing123
Missing (%)16.4%
Memory size6.0 KiB
2024-04-18T11:24:48.045462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.1888
Min length7

Characters and Unicode

Total characters6368
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique588 ?
Unique (%)94.1%

Sample

1st row422-0753
2nd row053)759-5759
3rd row421-7079
4th row422-0750
5th row256-9383
ValueCountFrequency (%)
326-3079 3
 
0.5%
053-784-0754 2
 
0.3%
053-753-0701 2
 
0.3%
053 2
 
0.3%
053-964-1237 2
 
0.3%
053-763-0753 2
 
0.3%
053-965-0753 2
 
0.3%
291-9090 2
 
0.3%
981-0752 2
 
0.3%
053-632-0707 2
 
0.3%
Other values (599) 608
96.7%
2024-04-18T11:24:48.383001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1003
15.8%
- 938
14.7%
5 910
14.3%
3 766
12.0%
7 633
9.9%
6 441
6.9%
2 369
 
5.8%
1 354
 
5.6%
8 333
 
5.2%
9 312
 
4.9%
Other values (5) 309
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5414
85.0%
Dash Punctuation 938
 
14.7%
Close Punctuation 6
 
0.1%
Math Symbol 4
 
0.1%
Space Separator 4
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1003
18.5%
5 910
16.8%
3 766
14.1%
7 633
11.7%
6 441
8.1%
2 369
 
6.8%
1 354
 
6.5%
8 333
 
6.2%
9 312
 
5.8%
4 293
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 938
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6368
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1003
15.8%
- 938
14.7%
5 910
14.3%
3 766
12.0%
7 633
9.9%
6 441
6.9%
2 369
 
5.8%
1 354
 
5.6%
8 333
 
5.2%
9 312
 
4.9%
Other values (5) 309
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1003
15.8%
- 938
14.7%
5 910
14.3%
3 766
12.0%
7 633
9.9%
6 441
6.9%
2 369
 
5.8%
1 354
 
5.6%
8 333
 
5.2%
9 312
 
4.9%
Other values (5) 309
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing748
Missing (%)100.0%
Memory size6.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct248
Distinct (%)55.7%
Missing303
Missing (%)40.5%
Infinite0
Infinite (%)0.0%
Mean704918.49
Minimum700020
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T11:24:48.526410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700020
5-th percentile700872.8
Q1702893
median704837
Q3706092
95-th percentile711814
Maximum711893
Range11873
Interquartile range (IQR)3199

Descriptive statistics

Standard deviation2534.4451
Coefficient of variation (CV)0.0035953732
Kurtosis1.6365766
Mean704918.49
Median Absolute Deviation (MAD)1333
Skewness0.92122407
Sum3.1368873 × 108
Variance6423411.8
MonotonicityNot monotonic
2024-04-18T11:24:48.657908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704940 11
 
1.5%
702886 9
 
1.2%
704948 9
 
1.2%
704802 8
 
1.1%
704830 7
 
0.9%
704837 7
 
0.9%
704816 6
 
0.8%
704914 5
 
0.7%
706803 5
 
0.7%
704928 5
 
0.7%
Other values (238) 373
49.9%
(Missing) 303
40.5%
ValueCountFrequency (%)
700020 1
0.1%
700082 1
0.1%
700111 1
0.1%
700150 1
0.1%
700170 1
0.1%
700261 2
0.3%
700320 1
0.1%
700412 2
0.3%
700413 1
0.1%
700421 1
0.1%
ValueCountFrequency (%)
711893 1
 
0.1%
711882 2
0.3%
711872 2
0.3%
711864 1
 
0.1%
711857 2
0.3%
711852 3
0.4%
711836 1
 
0.1%
711835 3
0.4%
711833 2
0.3%
711831 2
0.3%

소재지전체주소
Text

MISSING 

Distinct697
Distinct (%)95.7%
Missing20
Missing (%)2.7%
Memory size6.0 KiB
2024-04-18T11:24:48.927073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length50
Mean length24.861264
Min length13

Characters and Unicode

Total characters18099
Distinct characters244
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique671 ?
Unique (%)92.2%

Sample

1st row대구광역시 중구 서성로1가 109번지
2nd row대구광역시 중구 대봉동 128-8번지
3rd row대구광역시 중구 삼덕동3가 376-25번지 6층
4th row대구광역시 중구 대봉동 25-13번지
5th row대구광역시 중구 동인동3가 370-1번지
ValueCountFrequency (%)
대구광역시 728
 
21.3%
수성구 191
 
5.6%
달서구 183
 
5.4%
북구 138
 
4.0%
동구 94
 
2.7%
2층 59
 
1.7%
지하1층 53
 
1.5%
달성군 41
 
1.2%
범어동 34
 
1.0%
동천동 31
 
0.9%
Other values (946) 1868
54.6%
2024-04-18T11:24:49.322062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3394
18.8%
구 1428
 
7.9%
지 878
 
4.9%
동 867
 
4.8%
1 840
 
4.6%
대 764
 
4.2%
시 743
 
4.1%
역 728
 
4.0%
광 728
 
4.0%
번 724
 
4.0%
Other values (234) 7005
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10401
57.5%
Decimal Number 3607
 
19.9%
Space Separator 3394
 
18.8%
Dash Punctuation 567
 
3.1%
Other Punctuation 37
 
0.2%
Close Punctuation 36
 
0.2%
Open Punctuation 36
 
0.2%
Uppercase Letter 19
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1428
13.7%
지 878
 
8.4%
동 867
 
8.3%
대 764
 
7.3%
시 743
 
7.1%
역 728
 
7.0%
광 728
 
7.0%
번 724
 
7.0%
성 304
 
2.9%
층 271
 
2.6%
Other values (211) 2966
28.5%
Decimal Number
ValueCountFrequency (%)
1 840
23.3%
2 508
14.1%
3 432
12.0%
4 330
 
9.1%
5 311
 
8.6%
0 308
 
8.5%
8 232
 
6.4%
7 231
 
6.4%
6 225
 
6.2%
9 190
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 30
81.1%
. 3
 
8.1%
/ 3
 
8.1%
@ 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
B 12
63.2%
A 3
 
15.8%
C 2
 
10.5%
M 2
 
10.5%
Space Separator
ValueCountFrequency (%)
3394
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 567
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10401
57.5%
Common 7679
42.4%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1428
13.7%
지 878
 
8.4%
동 867
 
8.3%
대 764
 
7.3%
시 743
 
7.1%
역 728
 
7.0%
광 728
 
7.0%
번 724
 
7.0%
성 304
 
2.9%
층 271
 
2.6%
Other values (211) 2966
28.5%
Common
ValueCountFrequency (%)
3394
44.2%
1 840
 
10.9%
- 567
 
7.4%
2 508
 
6.6%
3 432
 
5.6%
4 330
 
4.3%
5 311
 
4.1%
0 308
 
4.0%
8 232
 
3.0%
7 231
 
3.0%
Other values (9) 526
 
6.8%
Latin
ValueCountFrequency (%)
B 12
63.2%
A 3
 
15.8%
C 2
 
10.5%
M 2
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10401
57.5%
ASCII 7698
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3394
44.1%
1 840
 
10.9%
- 567
 
7.4%
2 508
 
6.6%
3 432
 
5.6%
4 330
 
4.3%
5 311
 
4.0%
0 308
 
4.0%
8 232
 
3.0%
7 231
 
3.0%
Other values (13) 545
 
7.1%
Hangul
ValueCountFrequency (%)
구 1428
13.7%
지 878
 
8.4%
동 867
 
8.3%
대 764
 
7.3%
시 743
 
7.1%
역 728
 
7.0%
광 728
 
7.0%
번 724
 
7.0%
성 304
 
2.9%
층 271
 
2.6%
Other values (211) 2966
28.5%

도로명전체주소
Text

MISSING 

Distinct722
Distinct (%)98.2%
Missing13
Missing (%)1.7%
Memory size6.0 KiB
2024-04-18T11:24:49.599877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length51
Mean length28.088435
Min length19

Characters and Unicode

Total characters20645
Distinct characters305
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique710 ?
Unique (%)96.6%

Sample

1st row대구광역시 중구 경상감영길 1 (서성로1가)
2nd row대구광역시 중구 대봉로 200 (대봉동)
3rd row대구광역시 중구 달구벌대로 2235, 6층 (삼덕동3가)
4th row대구광역시 중구 동덕로 70 (대봉동)
5th row대구광역시 중구 동덕로 115, 지하1층 (삼덕동2가, 진석타워)
ValueCountFrequency (%)
대구광역시 735
 
17.8%
수성구 189
 
4.6%
달서구 188
 
4.5%
북구 138
 
3.3%
동구 93
 
2.3%
2층 57
 
1.4%
달성군 50
 
1.2%
달구벌대로 34
 
0.8%
지하1층 32
 
0.8%
서구 30
 
0.7%
Other values (1080) 2587
62.6%
2024-04-18T11:24:50.072445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3541
 
17.2%
구 1540
 
7.5%
동 983
 
4.8%
대 916
 
4.4%
시 753
 
3.6%
광 741
 
3.6%
역 738
 
3.6%
로 723
 
3.5%
1 712
 
3.4%
) 711
 
3.4%
Other values (295) 9287
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12004
58.1%
Space Separator 3541
 
17.2%
Decimal Number 3049
 
14.8%
Close Punctuation 711
 
3.4%
Open Punctuation 711
 
3.4%
Other Punctuation 497
 
2.4%
Dash Punctuation 102
 
0.5%
Uppercase Letter 25
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1540
 
12.8%
동 983
 
8.2%
대 916
 
7.6%
시 753
 
6.3%
광 741
 
6.2%
역 738
 
6.1%
로 723
 
6.0%
성 359
 
3.0%
층 329
 
2.7%
달 304
 
2.5%
Other values (267) 4618
38.5%
Decimal Number
ValueCountFrequency (%)
1 712
23.4%
2 495
16.2%
3 333
10.9%
4 286
9.4%
0 271
 
8.9%
5 245
 
8.0%
6 214
 
7.0%
7 181
 
5.9%
9 161
 
5.3%
8 151
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 12
48.0%
C 3
 
12.0%
A 3
 
12.0%
G 1
 
4.0%
P 1
 
4.0%
M 1
 
4.0%
S 1
 
4.0%
T 1
 
4.0%
Y 1
 
4.0%
K 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 489
98.4%
. 6
 
1.2%
/ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
3541
100.0%
Close Punctuation
ValueCountFrequency (%)
) 711
100.0%
Open Punctuation
ValueCountFrequency (%)
( 711
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12004
58.1%
Common 8616
41.7%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1540
 
12.8%
동 983
 
8.2%
대 916
 
7.6%
시 753
 
6.3%
광 741
 
6.2%
역 738
 
6.1%
로 723
 
6.0%
성 359
 
3.0%
층 329
 
2.7%
달 304
 
2.5%
Other values (267) 4618
38.5%
Common
ValueCountFrequency (%)
3541
41.1%
1 712
 
8.3%
) 711
 
8.3%
( 711
 
8.3%
2 495
 
5.7%
, 489
 
5.7%
3 333
 
3.9%
4 286
 
3.3%
0 271
 
3.1%
5 245
 
2.8%
Other values (8) 822
 
9.5%
Latin
ValueCountFrequency (%)
B 12
48.0%
C 3
 
12.0%
A 3
 
12.0%
G 1
 
4.0%
P 1
 
4.0%
M 1
 
4.0%
S 1
 
4.0%
T 1
 
4.0%
Y 1
 
4.0%
K 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12004
58.1%
ASCII 8641
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3541
41.0%
1 712
 
8.2%
) 711
 
8.2%
( 711
 
8.2%
2 495
 
5.7%
, 489
 
5.7%
3 333
 
3.9%
4 286
 
3.3%
0 271
 
3.1%
5 245
 
2.8%
Other values (18) 847
 
9.8%
Hangul
ValueCountFrequency (%)
구 1540
 
12.8%
동 983
 
8.2%
대 916
 
7.6%
시 753
 
6.3%
광 741
 
6.2%
역 738
 
6.1%
로 723
 
6.0%
성 359
 
3.0%
층 329
 
2.7%
달 304
 
2.5%
Other values (267) 4618
38.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct333
Distinct (%)65.9%
Missing243
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean89166.35
Minimum41002
Maximum711815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T11:24:50.207462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41075.6
Q141472
median42110
Q342682
95-th percentile702539.4
Maximum711815
Range670813
Interquartile range (IQR)1210

Descriptive statistics

Standard deviation170548.54
Coefficient of variation (CV)1.9127007
Kurtosis9.2079219
Mean89166.35
Median Absolute Deviation (MAD)613
Skewness3.3423124
Sum45029007
Variance2.9086806 × 1010
MonotonicityNot monotonic
2024-04-18T11:24:50.335868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 14
 
1.9%
41422 7
 
0.9%
41475 6
 
0.8%
42187 6
 
0.8%
41026 6
 
0.8%
41086 5
 
0.7%
42038 5
 
0.7%
42839 4
 
0.5%
42217 4
 
0.5%
42713 4
 
0.5%
Other values (323) 444
59.4%
(Missing) 243
32.5%
ValueCountFrequency (%)
41002 2
 
0.3%
41005 3
0.4%
41019 1
 
0.1%
41020 1
 
0.1%
41026 6
0.8%
41043 1
 
0.1%
41046 1
 
0.1%
41047 1
 
0.1%
41051 1
 
0.1%
41059 1
 
0.1%
ValueCountFrequency (%)
711815 1
0.1%
706846 1
0.1%
706826 1
0.1%
706823 1
0.1%
706820 1
0.1%
706745 1
0.1%
706738 1
0.1%
706220 1
0.1%
706092 1
0.1%
705835 1
0.1%

사업장명
Text

Distinct695
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-18T11:24:50.586582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length8.0628342
Min length2

Characters and Unicode

Total characters6031
Distinct characters382
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique648 ?
Unique (%)86.6%

Sample

1st row삼정골프
2nd row조아스크린골프연습장
3rd row스타골프
4th row페어웨이 골프클리닉
5th rowGM골프연습장
ValueCountFrequency (%)
골프 36
 
3.7%
스크린골프 34
 
3.5%
스크린 32
 
3.2%
골프연습장 25
 
2.5%
아카데미 11
 
1.1%
골프아카데미 10
 
1.0%
스크린골프연습장 10
 
1.0%
골프클럽 8
 
0.8%
골프존 5
 
0.5%
golf 5
 
0.5%
Other values (732) 809
82.1%
2024-04-18T11:24:50.956739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 686
 
11.4%
골 679
 
11.3%
스 443
 
7.3%
크 335
 
5.6%
린 324
 
5.4%
237
 
3.9%
장 231
 
3.8%
연 219
 
3.6%
습 218
 
3.6%
아 92
 
1.5%
Other values (372) 2567
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5418
89.8%
Uppercase Letter 253
 
4.2%
Space Separator 237
 
3.9%
Lowercase Letter 39
 
0.6%
Close Punctuation 24
 
0.4%
Open Punctuation 23
 
0.4%
Decimal Number 21
 
0.3%
Other Punctuation 15
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 686
 
12.7%
골 679
 
12.5%
스 443
 
8.2%
크 335
 
6.2%
린 324
 
6.0%
장 231
 
4.3%
연 219
 
4.0%
습 218
 
4.0%
아 92
 
1.7%
이 79
 
1.5%
Other values (319) 2112
39.0%
Uppercase Letter
ValueCountFrequency (%)
G 51
20.2%
S 37
14.6%
J 17
 
6.7%
K 17
 
6.7%
M 16
 
6.3%
T 14
 
5.5%
B 13
 
5.1%
C 10
 
4.0%
O 9
 
3.6%
A 9
 
3.6%
Other values (13) 60
23.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
17.9%
o 6
15.4%
l 5
12.8%
t 3
7.7%
f 3
7.7%
h 2
 
5.1%
i 2
 
5.1%
p 2
 
5.1%
n 2
 
5.1%
r 1
 
2.6%
Other values (6) 6
15.4%
Decimal Number
ValueCountFrequency (%)
1 6
28.6%
2 5
23.8%
6 3
14.3%
4 3
14.3%
5 2
 
9.5%
3 1
 
4.8%
7 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 7
46.7%
& 6
40.0%
/ 2
 
13.3%
Space Separator
ValueCountFrequency (%)
237
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5418
89.8%
Common 321
 
5.3%
Latin 292
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 686
 
12.7%
골 679
 
12.5%
스 443
 
8.2%
크 335
 
6.2%
린 324
 
6.0%
장 231
 
4.3%
연 219
 
4.0%
습 218
 
4.0%
아 92
 
1.7%
이 79
 
1.5%
Other values (319) 2112
39.0%
Latin
ValueCountFrequency (%)
G 51
17.5%
S 37
 
12.7%
J 17
 
5.8%
K 17
 
5.8%
M 16
 
5.5%
T 14
 
4.8%
B 13
 
4.5%
C 10
 
3.4%
O 9
 
3.1%
A 9
 
3.1%
Other values (29) 99
33.9%
Common
ValueCountFrequency (%)
237
73.8%
) 24
 
7.5%
( 23
 
7.2%
. 7
 
2.2%
& 6
 
1.9%
1 6
 
1.9%
2 5
 
1.6%
6 3
 
0.9%
4 3
 
0.9%
/ 2
 
0.6%
Other values (4) 5
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5418
89.8%
ASCII 613
 
10.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 686
 
12.7%
골 679
 
12.5%
스 443
 
8.2%
크 335
 
6.2%
린 324
 
6.0%
장 231
 
4.3%
연 219
 
4.0%
습 218
 
4.0%
아 92
 
1.7%
이 79
 
1.5%
Other values (319) 2112
39.0%
ASCII
ValueCountFrequency (%)
237
38.7%
G 51
 
8.3%
S 37
 
6.0%
) 24
 
3.9%
( 23
 
3.8%
J 17
 
2.8%
K 17
 
2.8%
M 16
 
2.6%
T 14
 
2.3%
B 13
 
2.1%
Other values (43) 164
26.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct748
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0155289 × 1013
Minimum2.0030127 × 1013
Maximum2.0190628 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T11:24:51.758737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030127 × 1013
5-th percentile2.0080255 × 1013
Q12.0140804 × 1013
median2.017051 × 1013
Q32.0180426 × 1013
95-th percentile2.0190421 × 1013
Maximum2.0190628 × 1013
Range1.6050099 × 1011
Interquartile range (IQR)3.9621492 × 1010

Descriptive statistics

Standard deviation3.5073951 × 1010
Coefficient of variation (CV)0.001740186
Kurtosis2.0425014
Mean2.0155289 × 1013
Median Absolute Deviation (MAD)1.0701491 × 1010
Skewness-1.5487388
Sum1.5076156 × 1016
Variance1.2301821 × 1021
MonotonicityNot monotonic
2024-04-18T11:24:51.880375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140612141835 1
 
0.1%
20190624163527 1
 
0.1%
20171124095239 1
 
0.1%
20171124103334 1
 
0.1%
20180821152813 1
 
0.1%
20181115100120 1
 
0.1%
20180704103446 1
 
0.1%
20171124101038 1
 
0.1%
20171124101006 1
 
0.1%
20171124100851 1
 
0.1%
Other values (738) 738
98.7%
ValueCountFrequency (%)
20030127143439 1
0.1%
20030128144503 1
0.1%
20030522160701 1
0.1%
20030522161233 1
0.1%
20030626155644 1
0.1%
20040203162835 1
0.1%
20040305164920 1
0.1%
20040316102437 1
0.1%
20040413092851 1
0.1%
20040521132716 1
0.1%
ValueCountFrequency (%)
20190628131547 1
0.1%
20190626101229 1
0.1%
20190624163527 1
0.1%
20190624143237 1
0.1%
20190618102937 1
0.1%
20190614100732 1
0.1%
20190611090708 1
0.1%
20190610090527 1
0.1%
20190605140915 1
0.1%
20190604151211 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
I
612 
U
136 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 612
81.8%
U 136
 
18.2%

Length

2024-04-18T11:24:52.000559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:24:52.097210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 612
81.8%
u 136
 
18.2%

데이터갱신일자
Date

Distinct89
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2018-08-31 23:59:59
Maximum2019-06-30 02:40:00
2024-04-18T11:24:52.216753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T11:24:52.367829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing748
Missing (%)100.0%
Memory size6.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct638
Distinct (%)86.3%
Missing9
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean343139.74
Minimum327146.6
Maximum357870.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T11:24:52.491853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327146.6
5-th percentile334285.54
Q1338883.65
median343785.82
Q3346903.18
95-th percentile354291.55
Maximum357870.14
Range30723.532
Interquartile range (IQR)8019.5294

Descriptive statistics

Standard deviation5859.5012
Coefficient of variation (CV)0.017076137
Kurtosis-0.27225211
Mean343139.74
Median Absolute Deviation (MAD)3992.1205
Skewness0.095278231
Sum2.5358027 × 108
Variance34333754
MonotonicityNot monotonic
2024-04-18T11:24:52.617751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339849.860778 5
 
0.7%
340895.569123 5
 
0.7%
351945.298975 4
 
0.5%
344246.836165 3
 
0.4%
340704.013176 3
 
0.4%
355665.232375 3
 
0.4%
343983.089178 3
 
0.4%
340873.134187 3
 
0.4%
347422.65742 3
 
0.4%
346769.820444 3
 
0.4%
Other values (628) 704
94.1%
(Missing) 9
 
1.2%
ValueCountFrequency (%)
327146.604637 1
0.1%
327498.32892 1
0.1%
328171.382416 1
0.1%
328293.62359 1
0.1%
329761.0 1
0.1%
329830.0 1
0.1%
329931.551477 1
0.1%
330010.742979 1
0.1%
330325.906027 1
0.1%
330435.153562 2
0.3%
ValueCountFrequency (%)
357870.136201 1
0.1%
356433.809899 2
0.3%
356353.91544 1
0.1%
356351.617491 1
0.1%
356310.917659 1
0.1%
355769.748109 1
0.1%
355716.735045 1
0.1%
355698.810726 1
0.1%
355694.014923 1
0.1%
355681.445461 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct638
Distinct (%)86.3%
Missing9
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean263194.36
Minimum238769.81
Maximum273873.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T11:24:52.738956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257450.95
Q1260637.1
median263030.1
Q3265312.31
95-th percentile272479.39
Maximum273873.57
Range35103.757
Interquartile range (IQR)4675.2103

Descriptive statistics

Standard deviation4883.1522
Coefficient of variation (CV)0.018553407
Kurtosis3.5429852
Mean263194.36
Median Absolute Deviation (MAD)2296.2065
Skewness-0.68959579
Sum1.9450063 × 108
Variance23845175
MonotonicityNot monotonic
2024-04-18T11:24:52.884675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257521.210538 5
 
0.7%
272482.628301 5
 
0.7%
265312.312736 4
 
0.5%
270460.631388 3
 
0.4%
272479.204918 3
 
0.4%
264323.705484 3
 
0.4%
265470.741158 3
 
0.4%
272651.408529 3
 
0.4%
264544.009327 3
 
0.4%
259787.645722 3
 
0.4%
Other values (628) 704
94.1%
(Missing) 9
 
1.2%
ValueCountFrequency (%)
238769.812522 1
0.1%
239961.682617 1
0.1%
240790.294843 1
0.1%
243621.0 1
0.1%
243669.128702 1
0.1%
244402.559938 1
0.1%
244658.0 1
0.1%
244698.0 1
0.1%
244757.0 1
0.1%
245500.71937 1
0.1%
ValueCountFrequency (%)
273873.569896 2
0.3%
273573.031508 1
 
0.1%
273523.341721 1
 
0.1%
273408.810726 1
 
0.1%
273367.914662 1
 
0.1%
273227.276823 1
 
0.1%
273080.521641 2
0.3%
272988.868487 1
 
0.1%
272960.724753 1
 
0.1%
272651.408529 3
0.4%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
골프연습장업
748 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row골프연습장업
2nd row골프연습장업
3rd row골프연습장업
4th row골프연습장업
5th row골프연습장업

Common Values

ValueCountFrequency (%)
골프연습장업 748
100.0%

Length

2024-04-18T11:24:53.007412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:24:53.120580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 748
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
사립
748 

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 748
100.0%

Length

2024-04-18T11:24:53.252656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:24:53.365532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 748
100.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
572 
0
103 
Y
73 

Length

Max length4
Median length4
Mean length3.2941176
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> 572
76.5%
0 103
 
13.8%
Y 73
 
9.8%

Length

2024-04-18T11:24:53.499105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:24:53.645323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 572
76.5%
0 103
 
13.8%
y 73
 
9.8%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
703 
1
 
40
2
 
5

Length

Max length4
Median length4
Mean length3.8195187
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> 703
94.0%
1 40
 
5.3%
2 5
 
0.7%

Length

2024-04-18T11:24:53.783843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:24:53.908177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 703
94.0%
1 40
 
5.3%
2 5
 
0.7%

건축물동수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
661 
1
87 

Length

Max length4
Median length4
Mean length3.6510695
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> 661
88.4%
1 87
 
11.6%

Length

2024-04-18T11:24:54.000291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:24:54.090258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 661
88.4%
1 87
 
11.6%

건축물연면적
Real number (ℝ)

MISSING 

Distinct200
Distinct (%)93.0%
Missing533
Missing (%)71.3%
Infinite0
Infinite (%)0.0%
Mean5133.5775
Minimum83
Maximum488305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T11:24:54.182493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83
5-th percentile243.233
Q1701.9
median1469.35
Q33030.735
95-th percentile8041.978
Maximum488305
Range488222
Interquartile range (IQR)2328.835

Descriptive statistics

Standard deviation33721.682
Coefficient of variation (CV)6.5688464
Kurtosis199.60655
Mean5133.5775
Median Absolute Deviation (MAD)975.52
Skewness13.924878
Sum1103719.2
Variance1.1371518 × 109
MonotonicityNot monotonic
2024-04-18T11:24:54.313182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1604.69 2
 
0.3%
1284.46 2
 
0.3%
1157.22 2
 
0.3%
3653.0 2
 
0.3%
4991.45 2
 
0.3%
2677.94 2
 
0.3%
4204.01 2
 
0.3%
99.0 2
 
0.3%
2503.24 2
 
0.3%
1461.99 2
 
0.3%
Other values (190) 195
 
26.1%
(Missing) 533
71.3%
ValueCountFrequency (%)
83.0 1
0.1%
99.0 2
0.3%
127.9 1
0.1%
148.66 1
0.1%
151.0 1
0.1%
201.96 1
0.1%
202.01 1
0.1%
210.56 1
0.1%
211.23 1
0.1%
225.11 1
0.1%
ValueCountFrequency (%)
488305.0 1
0.1%
74943.96 1
0.1%
46167.34 1
0.1%
25094.42 1
0.1%
15590.0 1
0.1%
13667.74 1
0.1%
12020.42 1
0.1%
9495.92 1
0.1%
8321.0 1
0.1%
8137.74 1
0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
745 
20
 
1
50
 
1
100
 
1

Length

Max length4
Median length4
Mean length3.9933155
Min length2

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 745
99.6%
20 1
 
0.1%
50 1
 
0.1%
100 1
 
0.1%

Length

2024-04-18T11:24:54.445457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:24:54.546562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 745
99.6%
20 1
 
0.1%
50 1
 
0.1%
100 1
 
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing748
Missing (%)100.0%
Memory size6.7 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing748
Missing (%)100.0%
Memory size6.7 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01골프연습장업10_31_01_P3410000CDFH330105201200000120121129<NA>4취소/말소/만료/정지/중지35직권말소20140612<NA><NA><NA><NA><NA>700261대구광역시 중구 서성로1가 109번지대구광역시 중구 경상감영길 1 (서성로1가)700261삼정골프20140612141835I2018-08-31 23:59:59.0<NA>343315.940921264622.218272골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
12골프연습장업10_31_01_P3410000CDFH330105200800000320080527<NA>1영업/정상13영업중<NA><NA><NA><NA>422-0753<NA>700811대구광역시 중구 대봉동 128-8번지대구광역시 중구 대봉로 200 (대봉동)41954조아스크린골프연습장20170912134016I2018-08-31 23:59:59.0<NA>344683.360059263011.525066골프연습장업사립<NA><NA><NA>3502.85<NA><NA><NA>
23골프연습장업10_31_01_P3410000CDFH330105200900000120090119<NA>4취소/말소/만료/정지/중지35직권말소20140313<NA><NA><NA>053)759-5759<NA>700413대구광역시 중구 삼덕동3가 376-25번지 6층대구광역시 중구 달구벌대로 2235, 6층 (삼덕동3가)700413스타골프20140313091827I2018-08-31 23:59:59.0<NA>345160.586414263673.883625골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
34골프연습장업10_31_01_P3410000CDFH330105200500000120050127<NA>4취소/말소/만료/정지/중지35직권말소20140313<NA><NA><NA>421-7079<NA>700809대구광역시 중구 대봉동 25-13번지대구광역시 중구 동덕로 70 (대봉동)700809페어웨이 골프클리닉20140313091721I2018-08-31 23:59:59.0<NA>344806.406583263515.100519골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
45골프연습장업10_31_01_P3410000CDFH330105200100000120010821<NA>4취소/말소/만료/정지/중지35직권말소20090708<NA><NA><NA>422-0750<NA>700423대구광역시 중구 동인동3가 370-1번지<NA><NA>GM골프연습장20090720161102I2018-08-31 23:59:59.0<NA>345337.355564264851.279983골프연습장업사립<NA><NA><NA>151.0<NA><NA><NA>
56골프연습장업10_31_01_P3410000CDFH330105199700000119970319<NA>4취소/말소/만료/정지/중지35직권말소20090507<NA><NA><NA>256-9383<NA>700808대구광역시 중구 남산동 2971-11번지<NA><NA>크리스탈실내골프연습장20090616155445I2018-08-31 23:59:59.0<NA>342303.123488263634.294525골프연습장업사립<NA><NA><NA>251.24<NA><NA><NA>
67골프연습장업10_31_01_P3410000CDFH330105201000000320100604<NA>3폐업3폐업20110117<NA><NA><NA><NA><NA>700813대구광역시 중구 대봉동 726-5번지 3층<NA><NA>보니또골프클리닉20110126093415I2018-08-31 23:59:59.0<NA>344358.573425263264.64915골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
78골프연습장업10_31_01_P3410000CDFH330105201000000220100504<NA>3폐업3폐업20140425<NA><NA><NA>429-6007<NA>700412대구광역시 중구 삼덕동2가 210-1번지 지하1층대구광역시 중구 동덕로 115, 지하1층 (삼덕동2가, 진석타워)700719진석타워골프연습장20140425132825I2018-08-31 23:59:59.0<NA>344686.259338263958.880864골프연습장업사립<NA>1<NA>46167.34<NA><NA><NA>
89골프연습장업10_31_01_P3410000CDFH330105201000000120100106<NA>3폐업3폐업20150529<NA><NA><NA>246-7770<NA>700444대구광역시 중구 남산동 2270-41번지 지하1층대구광역시 중구 명덕로 67, 지하1층 (남산동)700836에이스스크린골프연습장20150601115328I2018-08-31 23:59:59.0<NA>342500.756548263200.567711골프연습장업사립<NA><NA><NA>1419.1<NA><NA><NA>
910골프연습장업10_31_01_P3410000CDFH330105200800000220080527<NA>3폐업3폐업20130325<NA><NA><NA>423-5516<NA>700822대구광역시 중구 봉산동 35-15번지대구광역시 중구 동성로1길 38 (봉산동)700823메니아스크린골프20140123144235I2018-08-31 23:59:59.0<NA>344024.728712264053.735679골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
738739골프연습장업10_31_01_P3480000CDFH330105200700000220071228<NA>1영업/정상13영업중<NA><NA><NA><NA>053-615-0874<NA>711852대구광역시 달성군 논공읍 북리 803-58번지 2,3층대구광역시 달성군 논공읍 논공로9길 74 (2,3층)<NA>월드스크린골프연습장20140729144037I2018-08-31 23:59:59.0<NA>330435.153562248779.530062골프연습장업사립0<NA>1659.61<NA><NA><NA>
739740골프연습장업10_31_01_P3480000CDFH330105200900000320090413<NA>1영업/정상13영업중<NA><NA><NA><NA>585-8800<NA>711812대구광역시 달성군 다사읍 매곡리 1546-4번지대구광역시 달성군 다사읍 달구벌대로 855<NA>펄스크린골프연습장20170816110153I2018-08-31 23:59:59.0<NA>332174.65572263177.257885골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
740741골프연습장업10_31_01_P3480000CDFH330105200900000120090122<NA>1영업/정상13영업중<NA><NA><NA><NA>593-0750<NA>711813대구광역시 달성군 다사읍 서재리 134-1번지대구광역시 달성군 다사읍 서재로 140<NA>서재스크린골프연습장20180821174851I2018-08-31 23:59:59.0<NA>335187.054817265018.176179골프연습장업사립0<NA><NA><NA><NA><NA><NA>
741742골프연습장업10_31_01_P3480000CDFH330105200800000620081201<NA>1영업/정상13영업중<NA><NA><NA><NA>053)588-9595<NA>711812대구광역시 달성군 다사읍 매곡리 1547-10번지대구광역시 달성군 다사읍 대실역북로1길 9<NA>애플스크린골프장20180910145851U2018-09-10 23:59:59.0<NA>332352.603246263056.484108골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
742743골프연습장업10_31_01_P3480000CDFH330105200800000520081114<NA>1영업/정상13영업중<NA><NA><NA><NA>638-2755<NA>711835대구광역시 달성군 화원읍 본리리 5번지대구광역시 달성군 화원읍 비슬로 2650<NA>우리스크린골프연습장20081114132425I2018-08-31 23:59:59.0<NA>336081.984333257249.156075골프연습장업사립0<NA><NA><NA><NA><NA><NA>
743744골프연습장업10_31_01_P3480000CDFH330105200800000420081010<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡1길 16-6, 6층42918휴림원 골프연습장20170314175513I2018-08-31 23:59:59.0<NA>332127.138155262907.017593골프연습장업사립0<NA><NA><NA><NA><NA><NA>
744745골프연습장업10_31_01_P3480000CDFH330105200800000220080828<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 달구벌대로 863, 6층 (진광타워)42914강창 스크린골프아카데미20171227151419I2018-08-31 23:59:59.0<NA>332278.439756263384.536579골프연습장업사립0<NA><NA><NA><NA><NA><NA>
745746골프연습장업10_31_01_P3480000CDFH330105201900000320190529<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 240번지대구광역시 달성군 화원읍 성천로26길 5042954CJ스크린골프20190605140915U2019-06-07 02:40:00.0<NA>335177.980312257114.729223골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
746747골프연습장업10_31_01_P3480000CDFH330105201900000220190408<NA>1영업/정상13영업중<NA><NA><NA><NA>053-557-0707<NA><NA>대구광역시 달성군 구지면 응암리 1272-3번지대구광역시 달성군 구지면 국가산단대로42길 5-3943008대국골프20190422132931U2019-04-24 02:40:00.0<NA>328171.382416239961.682617골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
747748골프연습장업10_31_01_P3480000CDFH330105200200000120020328<NA>3폐업3폐업20070801<NA><NA><NA>616-0709<NA>711852대구광역시 달성군 논공읍 남리 860번지<NA><NA>달성골프연습장20071210113015I2018-08-31 23:59:59.0<NA>331296.715241247669.556654골프연습장업사립0<NA><NA><NA><NA><NA><NA>