Overview

Dataset statistics

Number of variables37
Number of observations243
Missing cells2213
Missing cells (%)24.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.8 KiB
Average record size in memory319.5 B

Variable types

Numeric10
Categorical14
Text5
Unsupported7
DateTime1

Dataset

Description6270000_대구광역시_10_33_02_P_무도학원업_1월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000083569&dataSetDetailId=DDI_0000083638&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (96.1%)Imbalance
휴업종료일자 is highly imbalanced (96.1%)Imbalance
지도자수 is highly imbalanced (96.1%)Imbalance
건축물동수 is highly imbalanced (76.5%)Imbalance
인허가취소일자 has 243 (100.0%) missing valuesMissing
폐업일자 has 80 (32.9%) missing valuesMissing
재개업일자 has 243 (100.0%) missing valuesMissing
소재지전화 has 45 (18.5%) missing valuesMissing
소재지면적 has 243 (100.0%) missing valuesMissing
소재지우편번호 has 22 (9.1%) missing valuesMissing
도로명전체주소 has 13 (5.3%) missing valuesMissing
도로명우편번호 has 174 (71.6%) missing valuesMissing
업태구분명 has 243 (100.0%) missing valuesMissing
좌표정보(X) has 6 (2.5%) missing valuesMissing
좌표정보(Y) has 6 (2.5%) missing valuesMissing
건축물연면적 has 165 (67.9%) missing valuesMissing
회원모집총인원 has 243 (100.0%) missing valuesMissing
세부업종명 has 243 (100.0%) missing valuesMissing
법인명 has 243 (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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회원모집총인원 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 started2023-12-10 20:47:47.408412
Analysis finished2023-12-10 20:47:48.752037
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct243
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122
Minimum1
Maximum243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T05:47:48.891366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.1
Q161.5
median122
Q3182.5
95-th percentile230.9
Maximum243
Range242
Interquartile range (IQR)121

Descriptive statistics

Standard deviation70.292247
Coefficient of variation (CV)0.57616596
Kurtosis-1.2
Mean122
Median Absolute Deviation (MAD)61
Skewness0
Sum29646
Variance4941
MonotonicityStrictly increasing
2023-12-11T05:47:49.134277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
154 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
Other values (233) 233
95.9%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%
235 1
0.4%
234 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
무도학원업
243 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무도학원업 243
100.0%

Length

2023-12-11T05:47:49.428246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:49.575608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 243
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
10_33_02_P
243 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10_33_02_P
2nd row10_33_02_P
3rd row10_33_02_P
4th row10_33_02_P
5th row10_33_02_P

Common Values

ValueCountFrequency (%)
10_33_02_P 243
100.0%

Length

2023-12-11T05:47:49.729398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:49.881765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_33_02_p 243
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3440617.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T05:47:50.037088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3430000
Q33465000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)45000

Descriptive statistics

Standard deviation21086.932
Coefficient of variation (CV)0.0061288224
Kurtosis-1.3946111
Mean3440617.3
Median Absolute Deviation (MAD)10000
Skewness0.25136031
Sum8.3607 × 108
Variance4.4465871 × 108
MonotonicityIncreasing
2023-12-11T05:47:50.222192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 60
24.7%
3420000 59
24.3%
3430000 44
18.1%
3450000 30
12.3%
3440000 20
 
8.2%
3410000 19
 
7.8%
3460000 10
 
4.1%
3480000 1
 
0.4%
ValueCountFrequency (%)
3410000 19
 
7.8%
3420000 59
24.3%
3430000 44
18.1%
3440000 20
 
8.2%
3450000 30
12.3%
3460000 10
 
4.1%
3470000 60
24.7%
3480000 1
 
0.4%
ValueCountFrequency (%)
3480000 1
 
0.4%
3470000 60
24.7%
3460000 10
 
4.1%
3450000 30
12.3%
3440000 20
 
8.2%
3430000 44
18.1%
3420000 59
24.3%
3410000 19
 
7.8%

관리번호
Text

Distinct109
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T05:47:50.535567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4860
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

Unique40 ?
Unique (%)16.5%

Sample

1st rowCDFH3301111993000001
2nd rowCDFH3301112002000001
3rd rowCDFH3301111992000001
4th rowCDFH3301111997000001
5th rowCDFH3301111998000001
ValueCountFrequency (%)
cdfh3301111999000002 7
 
2.9%
cdfh3301111999000003 6
 
2.5%
cdfh3301111999000001 6
 
2.5%
cdfh3301112002000001 6
 
2.5%
cdfh3301111992000001 5
 
2.1%
cdfh3301112002000002 5
 
2.1%
cdfh3301112000000001 5
 
2.1%
cdfh3301112003000001 5
 
2.1%
cdfh3301111996000001 5
 
2.1%
cdfh3301112014000001 4
 
1.6%
Other values (99) 189
77.8%
2023-12-11T05:47:51.058867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1734
35.7%
1 991
20.4%
3 537
 
11.0%
2 253
 
5.2%
C 243
 
5.0%
D 243
 
5.0%
F 243
 
5.0%
H 243
 
5.0%
9 233
 
4.8%
6 33
 
0.7%
Other values (4) 107
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3888
80.0%
Uppercase Letter 972
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1734
44.6%
1 991
25.5%
3 537
 
13.8%
2 253
 
6.5%
9 233
 
6.0%
6 33
 
0.8%
8 32
 
0.8%
7 29
 
0.7%
4 28
 
0.7%
5 18
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 243
25.0%
D 243
25.0%
F 243
25.0%
H 243
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3888
80.0%
Latin 972
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1734
44.6%
1 991
25.5%
3 537
 
13.8%
2 253
 
6.5%
9 233
 
6.0%
6 33
 
0.8%
8 32
 
0.8%
7 29
 
0.7%
4 28
 
0.7%
5 18
 
0.5%
Latin
ValueCountFrequency (%)
C 243
25.0%
D 243
25.0%
F 243
25.0%
H 243
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1734
35.7%
1 991
20.4%
3 537
 
11.0%
2 253
 
5.2%
C 243
 
5.0%
D 243
 
5.0%
F 243
 
5.0%
H 243
 
5.0%
9 233
 
4.8%
6 33
 
0.7%
Other values (4) 107
 
2.2%

인허가일자
Real number (ℝ)

Distinct235
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20021416
Minimum19910826
Maximum20200130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T05:47:51.270813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910826
5-th percentile19920837
Q119981167
median20010912
Q320031160
95-th percentile20160800
Maximum20200130
Range289304
Interquartile range (IQR)49993.5

Descriptive statistics

Standard deviation64520.177
Coefficient of variation (CV)0.0032225581
Kurtosis0.3390138
Mean20021416
Median Absolute Deviation (MAD)29704
Skewness0.8039434
Sum4.865204 × 109
Variance4.1628532 × 109
MonotonicityNot monotonic
2023-12-11T05:47:51.488950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990917 4
 
1.6%
19981208 2
 
0.8%
20020711 2
 
0.8%
19990304 2
 
0.8%
20010214 2
 
0.8%
20030410 2
 
0.8%
19990420 1
 
0.4%
20030310 1
 
0.4%
20020603 1
 
0.4%
20011221 1
 
0.4%
Other values (225) 225
92.6%
ValueCountFrequency (%)
19910826 1
0.4%
19911012 1
0.4%
19911014 1
0.4%
19911031 1
0.4%
19911230 1
0.4%
19920513 1
0.4%
19920516 1
0.4%
19920529 1
0.4%
19920701 1
0.4%
19920715 1
0.4%
ValueCountFrequency (%)
20200130 1
0.4%
20190517 1
0.4%
20190125 1
0.4%
20181116 1
0.4%
20180518 1
0.4%
20180322 1
0.4%
20170913 1
0.4%
20170425 1
0.4%
20170222 1
0.4%
20170123 1
0.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
157 
1
78 
4
 
7
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row3
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 157
64.6%
1 78
32.1%
4 7
 
2.9%
2 1
 
0.4%

Length

2023-12-11T05:47:51.734618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:51.877186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 157
64.6%
1 78
32.1%
4 7
 
2.9%
2 1
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
157 
영업/정상
78 
취소/말소/만료/정지/중지
 
7
휴업
 
1

Length

Max length14
Median length2
Mean length3.308642
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row폐업
2nd row영업/정상
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 157
64.6%
영업/정상 78
32.1%
취소/말소/만료/정지/중지 7
 
2.9%
휴업 1
 
0.4%

Length

2023-12-11T05:47:52.016497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:52.150700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 157
64.6%
영업/정상 78
32.1%
취소/말소/만료/정지/중지 7
 
2.9%
휴업 1
 
0.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
157 
13
78 
35
 
7
2
 
1

Length

Max length2
Median length1
Mean length1.3497942
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row3
2nd row13
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 157
64.6%
13 78
32.1%
35 7
 
2.9%
2 1
 
0.4%

Length

2023-12-11T05:47:52.310719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:52.475602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 157
64.6%
13 78
32.1%
35 7
 
2.9%
2 1
 
0.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
157 
영업중
78 
직권말소
 
7
휴업
 
1

Length

Max length4
Median length2
Mean length2.3786008
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 157
64.6%
영업중 78
32.1%
직권말소 7
 
2.9%
휴업 1
 
0.4%

Length

2023-12-11T05:47:52.644456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:52.794661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 157
64.6%
영업중 78
32.1%
직권말소 7
 
2.9%
휴업 1
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct151
Distinct (%)92.6%
Missing80
Missing (%)32.9%
Infinite0
Infinite (%)0.0%
Mean20100986
Minimum20010611
Maximum20191227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T05:47:52.952340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010611
5-th percentile20030327
Q120060306
median20100506
Q320145668
95-th percentile20190374
Maximum20191227
Range180616
Interquartile range (IQR)85362.5

Descriptive statistics

Standard deviation51540.807
Coefficient of variation (CV)0.0025640935
Kurtosis-1.2064798
Mean20100986
Median Absolute Deviation (MAD)40522
Skewness0.17196211
Sum3.2764607 × 109
Variance2.6564548 × 109
MonotonicityNot monotonic
2023-12-11T05:47:53.175307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120905 3
 
1.2%
20160610 2
 
0.8%
20061031 2
 
0.8%
20151014 2
 
0.8%
20181101 2
 
0.8%
20080331 2
 
0.8%
20090618 2
 
0.8%
20060302 2
 
0.8%
20061101 2
 
0.8%
20030516 2
 
0.8%
Other values (141) 142
58.4%
(Missing) 80
32.9%
ValueCountFrequency (%)
20010611 1
0.4%
20020905 1
0.4%
20021224 1
0.4%
20030120 1
0.4%
20030127 1
0.4%
20030228 1
0.4%
20030303 1
0.4%
20030307 1
0.4%
20030318 1
0.4%
20030411 1
0.4%
ValueCountFrequency (%)
20191227 1
0.4%
20191128 1
0.4%
20191031 1
0.4%
20190909 1
0.4%
20190816 1
0.4%
20190726 1
0.4%
20190705 1
0.4%
20190630 1
0.4%
20190401 1
0.4%
20190128 1
0.4%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
242 
20031201
 
1

Length

Max length8
Median length4
Mean length4.0164609
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 242
99.6%
20031201 1
 
0.4%

Length

2023-12-11T05:47:53.374178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:53.521868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
99.6%
20031201 1
 
0.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
242 
20041201
 
1

Length

Max length8
Median length4
Mean length4.0164609
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 242
99.6%
20041201 1
 
0.4%

Length

2023-12-11T05:47:53.661745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:53.793284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
99.6%
20041201 1
 
0.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

소재지전화
Text

MISSING 

Distinct187
Distinct (%)94.4%
Missing45
Missing (%)18.5%
Memory size2.0 KiB
2023-12-11T05:47:54.083630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length9.3787879
Min length8

Characters and Unicode

Total characters1857
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

Unique177 ?
Unique (%)89.4%

Sample

1st row427-6392
2nd row053-254-4898
3rd row423-4740
4th row257-0454
5th row427-8230
ValueCountFrequency (%)
053-522-4544 3
 
1.5%
053-756-2333 2
 
1.0%
053-624-0536 2
 
1.0%
255-6075 2
 
1.0%
767-6228 2
 
1.0%
053-651-4849 2
 
1.0%
053-583-4991 2
 
1.0%
053-629-1999 2
 
1.0%
053-656-6886 2
 
1.0%
953-1690 2
 
1.0%
Other values (177) 177
89.4%
2023-12-11T05:47:54.541306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 307
16.5%
- 261
14.1%
3 223
12.0%
6 181
9.7%
2 149
8.0%
0 144
7.8%
4 133
7.2%
7 127
6.8%
9 117
 
6.3%
8 111
 
6.0%
Other values (4) 104
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1592
85.7%
Dash Punctuation 261
 
14.1%
Close Punctuation 2
 
0.1%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 307
19.3%
3 223
14.0%
6 181
11.4%
2 149
9.4%
0 144
9.0%
4 133
8.4%
7 127
8.0%
9 117
 
7.3%
8 111
 
7.0%
1 100
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 261
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1857
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 307
16.5%
- 261
14.1%
3 223
12.0%
6 181
9.7%
2 149
8.0%
0 144
7.8%
4 133
7.2%
7 127
6.8%
9 117
 
6.3%
8 111
 
6.0%
Other values (4) 104
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1857
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 307
16.5%
- 261
14.1%
3 223
12.0%
6 181
9.7%
2 149
8.0%
0 144
7.8%
4 133
7.2%
7 127
6.8%
9 117
 
6.3%
8 111
 
6.0%
Other values (4) 104
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)47.5%
Missing22
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean703441.91
Minimum700020
Maximum711872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T05:47:54.842860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700020
5-th percentile700430
Q1701827
median703806
Q3704826
95-th percentile705824
Maximum711872
Range11852
Interquartile range (IQR)2999

Descriptive statistics

Standard deviation1766.9138
Coefficient of variation (CV)0.0025118119
Kurtosis1.07547
Mean703441.91
Median Absolute Deviation (MAD)1126
Skewness0.36673941
Sum1.5546066 × 108
Variance3121984.2
MonotonicityNot monotonic
2023-12-11T05:47:55.201081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701816 9
 
3.7%
704940 7
 
2.9%
703802 7
 
2.9%
701827 7
 
2.9%
701808 6
 
2.5%
704915 5
 
2.1%
704816 5
 
2.1%
703814 5
 
2.1%
704834 5
 
2.1%
703806 5
 
2.1%
Other values (95) 160
65.8%
(Missing) 22
 
9.1%
ValueCountFrequency (%)
700020 1
0.4%
700040 1
0.4%
700230 2
0.8%
700290 2
0.8%
700380 1
0.4%
700422 2
0.8%
700423 1
0.4%
700424 1
0.4%
700430 1
0.4%
700440 1
0.4%
ValueCountFrequency (%)
711872 1
 
0.4%
706839 1
 
0.4%
706838 1
 
0.4%
706836 1
 
0.4%
706800 3
1.2%
706032 1
 
0.4%
706013 1
 
0.4%
705830 1
 
0.4%
705824 4
1.6%
705823 1
 
0.4%

소재지전체주소
Text

Distinct216
Distinct (%)89.3%
Missing1
Missing (%)0.4%
Memory size2.0 KiB
2023-12-11T05:47:55.855492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length23.169421
Min length18

Characters and Unicode

Total characters5607
Distinct characters96
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)79.8%

Sample

1st row대구광역시 중구 사일동 19-3번지
2nd row대구광역시 중구 남성로 89-4번지
3rd row대구광역시 중구 동인동4가 120-10번지
4th row대구광역시 중구 대신동 115-7번지
5th row대구광역시 중구 남성로 60번지
ValueCountFrequency (%)
대구광역시 242
22.9%
달서구 60
 
5.7%
동구 59
 
5.6%
서구 43
 
4.1%
북구 30
 
2.8%
3층 24
 
2.3%
2층 20
 
1.9%
남구 20
 
1.9%
중구 19
 
1.8%
신천동 18
 
1.7%
Other values (275) 523
49.4%
2023-12-11T05:47:56.653757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1058
18.9%
구 483
 
8.6%
동 303
 
5.4%
대 269
 
4.8%
지 269
 
4.8%
시 245
 
4.4%
역 242
 
4.3%
번 242
 
4.3%
광 242
 
4.3%
- 230
 
4.1%
Other values (86) 2024
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3135
55.9%
Decimal Number 1175
 
21.0%
Space Separator 1058
 
18.9%
Dash Punctuation 230
 
4.1%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 483
15.4%
동 303
9.7%
대 269
8.6%
지 269
8.6%
시 245
 
7.8%
역 242
 
7.7%
번 242
 
7.7%
광 242
 
7.7%
서 103
 
3.3%
층 77
 
2.5%
Other values (71) 660
21.1%
Decimal Number
ValueCountFrequency (%)
1 210
17.9%
2 208
17.7%
3 172
14.6%
4 132
11.2%
5 100
8.5%
0 81
 
6.9%
7 71
 
6.0%
9 69
 
5.9%
6 69
 
5.9%
8 63
 
5.4%
Space Separator
ValueCountFrequency (%)
1058
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 230
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3135
55.9%
Common 2472
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 483
15.4%
동 303
9.7%
대 269
8.6%
지 269
8.6%
시 245
 
7.8%
역 242
 
7.7%
번 242
 
7.7%
광 242
 
7.7%
서 103
 
3.3%
층 77
 
2.5%
Other values (71) 660
21.1%
Common
ValueCountFrequency (%)
1058
42.8%
- 230
 
9.3%
1 210
 
8.5%
2 208
 
8.4%
3 172
 
7.0%
4 132
 
5.3%
5 100
 
4.0%
0 81
 
3.3%
7 71
 
2.9%
9 69
 
2.8%
Other values (5) 141
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3135
55.9%
ASCII 2472
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1058
42.8%
- 230
 
9.3%
1 210
 
8.5%
2 208
 
8.4%
3 172
 
7.0%
4 132
 
5.3%
5 100
 
4.0%
0 81
 
3.3%
7 71
 
2.9%
9 69
 
2.8%
Other values (5) 141
 
5.7%
Hangul
ValueCountFrequency (%)
구 483
15.4%
동 303
9.7%
대 269
8.6%
지 269
8.6%
시 245
 
7.8%
역 242
 
7.7%
번 242
 
7.7%
광 242
 
7.7%
서 103
 
3.3%
층 77
 
2.5%
Other values (71) 660
21.1%

도로명전체주소
Text

MISSING 

Distinct217
Distinct (%)94.3%
Missing13
Missing (%)5.3%
Memory size2.0 KiB
2023-12-11T05:47:57.225275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length25.526087
Min length21

Characters and Unicode

Total characters5871
Distinct characters127
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)88.7%

Sample

1st row대구광역시 중구 남성로 47 (남성로)
2nd row대구광역시 중구 국채보상로 701 (동인동4가)
3rd row대구광역시 중구 국채보상로 452 (대신동)
4th row대구광역시 중구 경상감영1길 56 (향촌동)
5th row대구광역시 중구 달성로 72-13 (시장북로)
ValueCountFrequency (%)
대구광역시 230
 
19.6%
동구 59
 
5.0%
달서구 58
 
4.9%
서구 44
 
3.7%
북구 30
 
2.6%
남구 20
 
1.7%
비산동 16
 
1.4%
달서로 16
 
1.4%
내당동 15
 
1.3%
성당로 14
 
1.2%
Other values (346) 673
57.3%
2023-12-11T05:47:58.002130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1073
18.3%
구 499
 
8.5%
동 331
 
5.6%
대 301
 
5.1%
시 234
 
4.0%
) 231
 
3.9%
( 231
 
3.9%
로 230
 
3.9%
광 230
 
3.9%
역 230
 
3.9%
Other values (117) 2281
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3385
57.7%
Space Separator 1073
 
18.3%
Decimal Number 825
 
14.1%
Close Punctuation 231
 
3.9%
Open Punctuation 231
 
3.9%
Other Punctuation 89
 
1.5%
Dash Punctuation 36
 
0.6%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 499
14.7%
동 331
 
9.8%
대 301
 
8.9%
시 234
 
6.9%
로 230
 
6.8%
광 230
 
6.8%
역 230
 
6.8%
서 139
 
4.1%
달 99
 
2.9%
층 79
 
2.3%
Other values (101) 1013
29.9%
Decimal Number
ValueCountFrequency (%)
1 167
20.2%
2 153
18.5%
3 103
12.5%
5 88
10.7%
4 78
9.5%
6 59
 
7.2%
8 51
 
6.2%
7 44
 
5.3%
0 43
 
5.2%
9 39
 
4.7%
Space Separator
ValueCountFrequency (%)
1073
100.0%
Close Punctuation
ValueCountFrequency (%)
) 231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 231
100.0%
Other Punctuation
ValueCountFrequency (%)
, 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3385
57.7%
Common 2485
42.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 499
14.7%
동 331
 
9.8%
대 301
 
8.9%
시 234
 
6.9%
로 230
 
6.8%
광 230
 
6.8%
역 230
 
6.8%
서 139
 
4.1%
달 99
 
2.9%
층 79
 
2.3%
Other values (101) 1013
29.9%
Common
ValueCountFrequency (%)
1073
43.2%
) 231
 
9.3%
( 231
 
9.3%
1 167
 
6.7%
2 153
 
6.2%
3 103
 
4.1%
, 89
 
3.6%
5 88
 
3.5%
4 78
 
3.1%
6 59
 
2.4%
Other values (5) 213
 
8.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3385
57.7%
ASCII 2486
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1073
43.2%
) 231
 
9.3%
( 231
 
9.3%
1 167
 
6.7%
2 153
 
6.2%
3 103
 
4.1%
, 89
 
3.6%
5 88
 
3.5%
4 78
 
3.1%
6 59
 
2.4%
Other values (6) 214
 
8.6%
Hangul
ValueCountFrequency (%)
구 499
14.7%
동 331
 
9.8%
대 301
 
8.9%
시 234
 
6.9%
로 230
 
6.8%
광 230
 
6.8%
역 230
 
6.8%
서 139
 
4.1%
달 99
 
2.9%
층 79
 
2.3%
Other values (101) 1013
29.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)76.8%
Missing174
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean204934.17
Minimum41142
Maximum706839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T05:47:58.200620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41142
5-th percentile41237.6
Q141558
median41968
Q342814
95-th percentile704940
Maximum706839
Range665697
Interquartile range (IQR)1256

Descriptive statistics

Standard deviation287270.72
Coefficient of variation (CV)1.4017707
Kurtosis-0.56881059
Mean204934.17
Median Absolute Deviation (MAD)521
Skewness1.2035247
Sum14140458
Variance8.2524465 × 1010
MonotonicityNot monotonic
2023-12-11T05:47:58.419099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41560 3
 
1.2%
41557 3
 
1.2%
42612 3
 
1.2%
41812 3
 
1.2%
41251 2
 
0.8%
42459 2
 
0.8%
41564 2
 
0.8%
41447 2
 
0.8%
42132 2
 
0.8%
704940 2
 
0.8%
Other values (43) 45
 
18.5%
(Missing) 174
71.6%
ValueCountFrequency (%)
41142 1
0.4%
41209 1
0.4%
41216 1
0.4%
41230 1
0.4%
41249 1
0.4%
41251 2
0.8%
41252 1
0.4%
41423 1
0.4%
41447 2
0.8%
41451 1
0.4%
ValueCountFrequency (%)
706839 1
0.4%
705822 1
0.4%
705032 1
0.4%
704940 2
0.8%
704914 1
0.4%
704803 1
0.4%
703851 1
0.4%
703846 1
0.4%
703814 1
0.4%
703802 1
0.4%

사업장명
Text

Distinct212
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T05:47:58.895885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.5967078
Min length2

Characters and Unicode

Total characters1603
Distinct characters187
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)78.2%

Sample

1st row영호무도학원
2nd row에이원댄스스포츠아카데미
3rd row세진무도학원
4th row대화무도학원
5th row동아댄스스포츠스쿨
ValueCountFrequency (%)
무도학원 12
 
4.5%
강혜란무도학원 5
 
1.9%
현대무도학원 4
 
1.5%
명성무도학원 4
 
1.5%
성당무도학원 3
 
1.1%
댄스스포츠 3
 
1.1%
반고개무도학원 3
 
1.1%
한일무도학원 3
 
1.1%
침산무도학원 2
 
0.7%
댄스학원 2
 
0.7%
Other values (211) 228
84.8%
2023-12-11T05:47:59.600574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 189
 
11.8%
학 180
 
11.2%
도 178
 
11.1%
무 173
 
10.8%
스 126
 
7.9%
댄 60
 
3.7%
포 52
 
3.2%
츠 52
 
3.2%
26
 
1.6%
동 20
 
1.2%
Other values (177) 547
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1555
97.0%
Space Separator 26
 
1.6%
Uppercase Letter 13
 
0.8%
Decimal Number 5
 
0.3%
Other Punctuation 2
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 189
 
12.2%
학 180
 
11.6%
도 178
 
11.4%
무 173
 
11.1%
스 126
 
8.1%
댄 60
 
3.9%
포 52
 
3.3%
츠 52
 
3.3%
동 20
 
1.3%
성 19
 
1.2%
Other values (165) 506
32.5%
Uppercase Letter
ValueCountFrequency (%)
J 4
30.8%
K 4
30.8%
S 3
23.1%
Y 1
 
7.7%
O 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
5 1
 
20.0%
1 1
 
20.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1555
97.0%
Common 35
 
2.2%
Latin 13
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 189
 
12.2%
학 180
 
11.6%
도 178
 
11.4%
무 173
 
11.1%
스 126
 
8.1%
댄 60
 
3.9%
포 52
 
3.3%
츠 52
 
3.3%
동 20
 
1.3%
성 19
 
1.2%
Other values (165) 506
32.5%
Common
ValueCountFrequency (%)
26
74.3%
2 3
 
8.6%
& 2
 
5.7%
5 1
 
2.9%
1 1
 
2.9%
) 1
 
2.9%
( 1
 
2.9%
Latin
ValueCountFrequency (%)
J 4
30.8%
K 4
30.8%
S 3
23.1%
Y 1
 
7.7%
O 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1555
97.0%
ASCII 48
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 189
 
12.2%
학 180
 
11.6%
도 178
 
11.4%
무 173
 
11.1%
스 126
 
8.1%
댄 60
 
3.9%
포 52
 
3.3%
츠 52
 
3.3%
동 20
 
1.3%
성 19
 
1.2%
Other values (165) 506
32.5%
ASCII
ValueCountFrequency (%)
26
54.2%
J 4
 
8.3%
K 4
 
8.3%
2 3
 
6.2%
S 3
 
6.2%
& 2
 
4.2%
5 1
 
2.1%
1 1
 
2.1%
Y 1
 
2.1%
) 1
 
2.1%
Other values (2) 2
 
4.2%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct243
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0122787 × 1013
Minimum2.0030115 × 1013
Maximum2.020013 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T05:48:00.279514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030115 × 1013
5-th percentile2.0030526 × 1013
Q12.0080723 × 1013
median2.0131211 × 1013
Q32.0171215 × 1013
95-th percentile2.0190909 × 1013
Maximum2.020013 × 1013
Range1.7001497 × 1011
Interquartile range (IQR)9.0492482 × 1010

Descriptive statistics

Standard deviation5.3678675 × 1010
Coefficient of variation (CV)0.0026675567
Kurtosis-1.2064031
Mean2.0122787 × 1013
Median Absolute Deviation (MAD)4.9399978 × 1010
Skewness-0.33036058
Sum4.8898372 × 1015
Variance2.8814002 × 1021
MonotonicityNot monotonic
2023-12-11T05:48:00.657665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20051206173811 1
 
0.4%
20160610110757 1
 
0.4%
20030523091711 1
 
0.4%
20090717085815 1
 
0.4%
20190517174748 1
 
0.4%
20150401150304 1
 
0.4%
20140422092535 1
 
0.4%
20190308101807 1
 
0.4%
20180110144117 1
 
0.4%
20161107104901 1
 
0.4%
Other values (233) 233
95.9%
ValueCountFrequency (%)
20030115170656 1
0.4%
20030117104140 1
0.4%
20030303101601 1
0.4%
20030303103511 1
0.4%
20030414164333 1
0.4%
20030414164527 1
0.4%
20030414165144 1
0.4%
20030417160420 1
0.4%
20030417160729 1
0.4%
20030523091711 1
0.4%
ValueCountFrequency (%)
20200130141329 1
0.4%
20191227153844 1
0.4%
20191226145925 1
0.4%
20191218141525 1
0.4%
20191209155519 1
0.4%
20191204110128 1
0.4%
20191128145719 1
0.4%
20191125104815 1
0.4%
20191112112616 1
0.4%
20191101164806 1
0.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
I
201 
U
42 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 201
82.7%
U 42
 
17.3%

Length

2023-12-11T05:48:00.935583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:48:01.077533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 201
82.7%
u 42
 
17.3%

데이터갱신일자
Date

Distinct44
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2018-08-31 23:59:59
Maximum2020-02-01 00:23:41
2023-12-11T05:48:01.243302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:48:01.483294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct192
Distinct (%)81.0%
Missing6
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean343092.31
Minimum330376.07
Maximum354441.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T05:48:01.740421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330376.07
5-th percentile337500.02
Q1340438.35
median342077.15
Q3346412.97
95-th percentile348980.38
Maximum354441.6
Range24065.534
Interquartile range (IQR)5974.6209

Descriptive statistics

Standard deviation4008.1127
Coefficient of variation (CV)0.011682316
Kurtosis0.46135394
Mean343092.31
Median Absolute Deviation (MAD)2444.1282
Skewness0.42027701
Sum81312879
Variance16064968
MonotonicityNot monotonic
2023-12-11T05:48:02.001971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341807.54889 5
 
2.1%
341918.332239 5
 
2.1%
340582.811048 3
 
1.2%
346892.94262 3
 
1.2%
335921.019181 3
 
1.2%
338749.058512 3
 
1.2%
348644.422813 3
 
1.2%
345978.710031 2
 
0.8%
340805.481712 2
 
0.8%
341950.739006 2
 
0.8%
Other values (182) 206
84.8%
(Missing) 6
 
2.5%
ValueCountFrequency (%)
330376.065263 1
 
0.4%
334549.53699 1
 
0.4%
335841.114248 1
 
0.4%
335892.02727 1
 
0.4%
335921.019181 3
1.2%
335952.866799 2
0.8%
335974.805126 1
 
0.4%
335976.252488 1
 
0.4%
336506.557873 1
 
0.4%
337748.380868 2
0.8%
ValueCountFrequency (%)
354441.599326 1
0.4%
354072.130646 1
0.4%
354031.721906 2
0.8%
353764.33851 1
0.4%
353667.46113 1
0.4%
353512.819094 1
0.4%
352663.522946 1
0.4%
351453.246508 2
0.8%
350381.10534 1
0.4%
350324.186887 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct192
Distinct (%)81.0%
Missing6
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean263874.1
Minimum245171.87
Maximum277798.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T05:48:02.220817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245171.87
5-th percentile258496.72
Q1262249.19
median264388.89
Q3265658.05
95-th percentile267186.65
Maximum277798.82
Range32626.953
Interquartile range (IQR)3408.8565

Descriptive statistics

Standard deviation3058.3718
Coefficient of variation (CV)0.011590269
Kurtosis7.0163346
Mean263874.1
Median Absolute Deviation (MAD)1806.9156
Skewness-0.56209475
Sum62538162
Variance9353637.9
MonotonicityNot monotonic
2023-12-11T05:48:02.443031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262118.118471 5
 
2.1%
263704.826465 5
 
2.1%
263619.823876 3
 
1.2%
264716.870171 3
 
1.2%
262555.588663 3
 
1.2%
261141.544146 3
 
1.2%
266825.726402 3
 
1.2%
262753.617455 2
 
0.8%
263288.350504 2
 
0.8%
262303.118444 2
 
0.8%
Other values (182) 206
84.8%
(Missing) 6
 
2.5%
ValueCountFrequency (%)
245171.86909 1
0.4%
257414.7363 1
0.4%
258011.690841 1
0.4%
258034.934254 2
0.8%
258039.238987 1
0.4%
258042.710862 2
0.8%
258086.877543 2
0.8%
258201.75953 1
0.4%
258364.786695 1
0.4%
258529.697752 1
0.4%
ValueCountFrequency (%)
277798.822544 1
0.4%
272554.175076 1
0.4%
271717.519444 1
0.4%
271659.061677 1
0.4%
271304.871491 1
0.4%
271302.954113 1
0.4%
269507.869901 1
0.4%
269196.603202 1
0.4%
267732.344963 1
0.4%
267497.165382 1
0.4%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
무도학원업
243 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무도학원업 243
100.0%

Length

2023-12-11T05:48:02.680272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:48:02.844941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 243
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
사립
243 

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 243
100.0%

Length

2023-12-11T05:48:02.996712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:48:03.156883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 243
100.0%

보험가입여부코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
105 
<NA>
76 
Y
50 
1
12 

Length

Max length4
Median length1
Mean length1.9382716
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd rowY
3rd rowY
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 105
43.2%
<NA> 76
31.3%
Y 50
20.6%
1 12
 
4.9%

Length

2023-12-11T05:48:03.328554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:48:03.534282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 105
43.2%
na 76
31.3%
y 50
20.6%
1 12
 
4.9%

지도자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
242 
1
 
1

Length

Max length4
Median length4
Mean length3.9876543
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 242
99.6%
1 1
 
0.4%

Length

2023-12-11T05:48:03.739411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:48:03.901029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
99.6%
1 1
 
0.4%

건축물동수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
227 
1
 
15
2
 
1

Length

Max length4
Median length4
Mean length3.8024691
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 227
93.4%
1 15
 
6.2%
2 1
 
0.4%

Length

2023-12-11T05:48:04.086187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:48:04.250134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 227
93.4%
1 15
 
6.2%
2 1
 
0.4%

건축물연면적
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)96.2%
Missing165
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean636.29872
Minimum0
Maximum8593.94
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T05:48:04.421007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile67.248
Q191.51
median191.91
Q3681.27
95-th percentile1886.875
Maximum8593.94
Range8593.94
Interquartile range (IQR)589.76

Descriptive statistics

Standard deviation1268.8325
Coefficient of variation (CV)1.9940831
Kurtosis25.166316
Mean636.29872
Median Absolute Deviation (MAD)123.11
Skewness4.6807943
Sum49631.3
Variance1609935.9
MonotonicityNot monotonic
2023-12-11T05:48:04.678690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457.58 2
 
0.8%
1649.9 2
 
0.8%
413.22 2
 
0.8%
344.34 1
 
0.4%
153.6 1
 
0.4%
72.98 1
 
0.4%
86.56 1
 
0.4%
67.38 1
 
0.4%
97.2 1
 
0.4%
92.8 1
 
0.4%
Other values (65) 65
 
26.7%
(Missing) 165
67.9%
ValueCountFrequency (%)
0.0 1
0.4%
66.0 1
0.4%
66.12 1
0.4%
66.5 1
0.4%
67.38 1
0.4%
67.43 1
0.4%
68.0 1
0.4%
69.6 1
0.4%
71.76 1
0.4%
72.98 1
0.4%
ValueCountFrequency (%)
8593.94 1
0.4%
6496.29 1
0.4%
2591.17 1
0.4%
2328.45 1
0.4%
1808.95 1
0.4%
1771.1 1
0.4%
1649.9 2
0.8%
1524.0 1
0.4%
1368.72 1
0.4%
1060.0 1
0.4%

회원모집총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01무도학원업10_33_02_P3410000CDFH330111199300000119930224<NA>3폐업3폐업20090113<NA><NA><NA>427-6392<NA>700040대구광역시 중구 사일동 19-3번지<NA><NA>영호무도학원20051206173811I2018-08-31 23:59:59.0<NA><NA><NA>무도학원업사립0<NA><NA>66.5<NA><NA><NA>
12무도학원업10_33_02_P3410000CDFH330111200200000120020322<NA>1영업/정상13영업중<NA><NA><NA><NA>053-254-4898<NA>700230대구광역시 중구 남성로 89-4번지대구광역시 중구 남성로 47 (남성로)41934에이원댄스스포츠아카데미20191204110128U2019-12-06 02:40:00.0<NA>343695.949043264192.002125무도학원업사립Y<NA><NA><NA><NA><NA><NA>
23무도학원업10_33_02_P3410000CDFH330111199200000119920513<NA>3폐업3폐업20151015<NA><NA><NA>423-4740<NA>700424대구광역시 중구 동인동4가 120-10번지대구광역시 중구 국채보상로 701 (동인동4가)41908세진무도학원20151015164126I2018-08-31 23:59:59.0<NA>345079.657277264410.633364무도학원업사립Y<NA><NA><NA><NA><NA><NA>
34무도학원업10_33_02_P3410000CDFH330111199700000119970616<NA>3폐업3폐업20130226<NA><NA><NA>257-0454<NA>700815대구광역시 중구 대신동 115-7번지대구광역시 중구 국채보상로 452 (대신동)700320대화무도학원20140123170315I2018-08-31 23:59:59.0<NA>342625.743858264485.534585무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
45무도학원업10_33_02_P3410000CDFH330111199800000119980106<NA>3폐업3폐업20010611<NA><NA><NA>427-8230<NA>700230대구광역시 중구 남성로 60번지<NA><NA>동아댄스스포츠스쿨20030303103511I2018-08-31 23:59:59.0<NA>343562.397354264232.568585무도학원업사립0<NA><NA>66.0<NA><NA><NA>
56무도학원업10_33_02_P3410000CDFH330111199900000319990429<NA>3폐업3폐업20030228<NA><NA><NA>426-4512<NA>700423대구광역시 중구 동인동3가 271-54번지<NA><NA>동아댄스스포츠학원20030303101601I2018-08-31 23:59:59.0<NA>345148.910317264805.281524무도학원업사립0<NA><NA>99.05<NA><NA><NA>
67무도학원업10_33_02_P3410000CDFH330111200200000220020208<NA>3폐업3폐업20110613<NA><NA><NA>255-6075<NA>700290대구광역시 중구 시장북로 26-1번지<NA><NA>동경무도학원20110613163149I2018-08-31 23:59:59.0<NA>342897.130045264638.387292무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
78무도학원업10_33_02_P3410000CDFH330111200200000320021104<NA>3폐업3폐업20050328<NA><NA><NA>423-3234<NA>700422대구광역시 중구 동인동2가 61-10번지<NA><NA>핑크랑무도학원20050328103044I2018-08-31 23:59:59.0<NA>344747.271987264541.830989무도학원업사립0<NA><NA><NA><NA><NA><NA>
89무도학원업10_33_02_P3410000CDFH330111200100000120010504<NA>3폐업3폐업20030411<NA><NA><NA><NA><NA>700811대구광역시 중구 대봉동 168-4번지<NA><NA>대봉무도학원20041223165259I2018-08-31 23:59:59.0<NA>344504.288923262911.836526무도학원업사립0<NA><NA>189.72<NA><NA><NA>
910무도학원업10_33_02_P3410000CDFH330111200300000120030411<NA>3폐업3폐업20041223<NA><NA><NA><NA><NA>700430대구광역시 중구 대봉동 1684번지<NA><NA>뺑뺑무도학원20041223165632I2018-08-31 23:59:59.0<NA><NA><NA>무도학원업사립0<NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
233234무도학원업10_33_02_P3470000CDFH330111200600000220061103<NA>1영업/정상13영업중<NA><NA><NA><NA>053-651-4849<NA>704821대구광역시 달서구 송현동 142-2번지대구광역시 달서구 월배로 435 (송현동)<NA>관문무도학원20190731091448U2019-08-02 02:40:00.0<NA>340249.636813260305.988507무도학원업사립0<NA><NA><NA><NA><NA><NA>
234235무도학원업10_33_02_P3470000CDFH330111201000000120100630<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>704806대구광역시 달서구 본동 737번지 2층대구광역시 달서구 와룡로 45 (본동,2층)<NA>강산무도학원20181226092233U2018-12-28 02:40:00.0<NA>338763.996779260713.114351무도학원업사립Y<NA><NA><NA><NA><NA><NA>
235236무도학원업10_33_02_P3470000CDFH330111200300000420030319<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>704940대구광역시 달서구 이곡동 1224-7번지 4층대구광역시 달서구 달구벌대로251안길 25 (이곡동)704940강남 무도학원20180529091355I2018-08-31 23:59:59.0<NA>335952.866799262492.107105무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
236237무도학원업10_33_02_P3470000CDFH330111200300000820030520<NA>1영업/정상13영업중<NA><NA><NA><NA>053-656-1210<NA>704915대구광역시 달서구 성당동 263-5번지대구광역시 달서구 구마로 241 (성당동)<NA>25시무도학원20130208112018I2018-08-31 23:59:59.0<NA>340350.089675260809.865136무도학원업사립0<NA><NA><NA><NA><NA><NA>
237238무도학원업10_33_02_P3470000CDFH330111201200000120120709<NA>1영업/정상13영업중<NA><NA><NA><NA>053-522-8887<NA>704914대구광역시 달서구 본리동 429-4번지대구광역시 달서구 구마로11길 88 (본리동)42693S&K 댄스스포츠20180525101622I2018-08-31 23:59:59.0<NA>338541.189915261222.52219무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
238239무도학원업10_33_02_P3470000CDFH330111201200000220120807<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>704940대구광역시 달서구 이곡동 1220-7번지대구광역시 달서구 달구벌대로251안길 24 (이곡동)42612성서무도댄스스포츠학원20160504172825I2018-08-31 23:59:59.0<NA>335974.805126262530.810107무도학원업사립Y<NA><NA><NA><NA><NA><NA>
239240무도학원업10_33_02_P3470000CDFH330111201400000120140617<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>704120대구광역시 달서구 본리동 380-4번지대구광역시 달서구 와룡로 95 (본리동)42693낙원 무도학원20180413164135I2018-08-31 23:59:59.0<NA>338748.762899261211.796655무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
240241무도학원업10_33_02_P3470000CDFH330111201700000120170123<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 이곡동 1202-10번지대구광역시 달서구 달구벌대로251길 27 (이곡동)42612도경 무도학원20190904220642U2019-09-06 02:40:00.0<NA>335841.114248262631.278839무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
241242무도학원업10_33_02_P3470000CDFH330111199900000219990525<NA>3폐업3폐업20050531<NA><NA><NA>053-623-8858<NA>704915대구광역시 달서구 성당동 114-1번지대구광역시 달서구 성당로 163 (성당동)<NA>두류무도학원20050531172952I2018-08-31 23:59:59.0<NA>341662.207325262074.253577무도학원업사립0<NA><NA>79.2<NA><NA><NA>
242243무도학원업10_33_02_P3480000CDFH330111200000000120000817<NA>3폐업3폐업20191031<NA><NA><NA>611-1227<NA>711872대구광역시 달성군 현풍읍 부리 275번지대구광역시 달성군 현풍읍 현풍중앙로21길 13<NA>현풍댄스스포츠20191101164806U2019-11-03 02:40:00.0<NA>330376.065263245171.86909무도학원업사립<NA><NA><NA>427.95<NA><NA><NA>