Overview

Dataset statistics

Number of variables37
Number of observations255
Missing cells2054
Missing cells (%)21.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory79.6 KiB
Average record size in memory319.5 B

Variable types

Numeric10
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description22년12월_6270000_대구광역시_10_33_02_P_무도학원업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097297&dataSetDetailId=DDI_0000097325&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (94.5%)Imbalance
휴업종료일자 is highly imbalanced (94.5%)Imbalance
지도자수 is highly imbalanced (64.7%)Imbalance
건축물동수 is highly imbalanced (57.0%)Imbalance
인허가취소일자 has 255 (100.0%) missing valuesMissing
폐업일자 has 79 (31.0%) missing valuesMissing
재개업일자 has 255 (100.0%) missing valuesMissing
소재지전화 has 58 (22.7%) missing valuesMissing
소재지면적 has 255 (100.0%) missing valuesMissing
소재지우편번호 has 36 (14.1%) missing valuesMissing
도로명전체주소 has 13 (5.1%) missing valuesMissing
도로명우편번호 has 172 (67.5%) missing valuesMissing
업태구분명 has 255 (100.0%) missing valuesMissing
좌표정보(X) has 7 (2.7%) missing valuesMissing
좌표정보(Y) has 7 (2.7%) missing valuesMissing
건축물연면적 has 151 (59.2%) missing valuesMissing
세부업종명 has 255 (100.0%) missing valuesMissing
법인명 has 255 (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
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
건축물연면적 has 24 (9.4%) zerosZeros

Reproduction

Analysis started2024-04-18 04:00:51.978598
Analysis finished2024-04-18 04:00:52.411993
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct255
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128
Minimum1
Maximum255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-18T13:00:52.470987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.7
Q164.5
median128
Q3191.5
95-th percentile242.3
Maximum255
Range254
Interquartile range (IQR)127

Descriptive statistics

Standard deviation73.756356
Coefficient of variation (CV)0.57622153
Kurtosis-1.2
Mean128
Median Absolute Deviation (MAD)64
Skewness0
Sum32640
Variance5440
MonotonicityStrictly increasing
2024-04-18T13:00:52.586232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
2 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
Other values (245) 245
96.1%
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 (%)
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
무도학원업
255 

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 255
100.0%

Length

2024-04-18T13:00:52.692728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:00:52.762072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 255
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
10_33_02_P
255 

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 255
100.0%

Length

2024-04-18T13:00:52.834664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:00:52.910117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_33_02_p 255
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3441294.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-18T13:00:52.992335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation21154.935
Coefficient of variation (CV)0.0061473777
Kurtosis-1.4028707
Mean3441294.1
Median Absolute Deviation (MAD)20000
Skewness0.21842181
Sum8.7753 × 108
Variance4.4753126 × 108
MonotonicityIncreasing
2024-04-18T13:00:53.874237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 65
25.5%
3420000 59
23.1%
3430000 46
18.0%
3450000 31
12.2%
3440000 23
 
9.0%
3410000 19
 
7.5%
3460000 10
 
3.9%
3480000 2
 
0.8%
ValueCountFrequency (%)
3410000 19
 
7.5%
3420000 59
23.1%
3430000 46
18.0%
3440000 23
 
9.0%
3450000 31
12.2%
3460000 10
 
3.9%
3470000 65
25.5%
3480000 2
 
0.8%
ValueCountFrequency (%)
3480000 2
 
0.8%
3470000 65
25.5%
3460000 10
 
3.9%
3450000 31
12.2%
3440000 23
 
9.0%
3430000 46
18.0%
3420000 59
23.1%
3410000 19
 
7.5%

관리번호
Text

Distinct114
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-18T13:00:54.061165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5100
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

Unique41 ?
Unique (%)16.1%

Sample

1st rowCDFH3301111993000001
2nd rowCDFH3301111999000002
3rd rowCDFH3301111992000001
4th rowCDFH3301111992000004
5th rowCDFH3301111997000001
ValueCountFrequency (%)
cdfh3301111999000002 7
 
2.7%
cdfh3301111999000003 6
 
2.4%
cdfh3301112002000001 6
 
2.4%
cdfh3301111999000001 6
 
2.4%
cdfh3301112000000001 5
 
2.0%
cdfh3301111992000001 5
 
2.0%
cdfh3301112021000001 5
 
2.0%
cdfh3301112002000002 5
 
2.0%
cdfh3301112003000001 5
 
2.0%
cdfh3301111996000001 5
 
2.0%
Other values (104) 200
78.4%
2024-04-18T13:00:54.349231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1822
35.7%
1 1042
20.4%
3 562
 
11.0%
2 281
 
5.5%
C 255
 
5.0%
D 255
 
5.0%
F 255
 
5.0%
H 255
 
5.0%
9 233
 
4.6%
6 33
 
0.6%
Other values (4) 107
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4080
80.0%
Uppercase Letter 1020
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1822
44.7%
1 1042
25.5%
3 562
 
13.8%
2 281
 
6.9%
9 233
 
5.7%
6 33
 
0.8%
8 32
 
0.8%
7 29
 
0.7%
4 28
 
0.7%
5 18
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 255
25.0%
D 255
25.0%
F 255
25.0%
H 255
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4080
80.0%
Latin 1020
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1822
44.7%
1 1042
25.5%
3 562
 
13.8%
2 281
 
6.9%
9 233
 
5.7%
6 33
 
0.8%
8 32
 
0.8%
7 29
 
0.7%
4 28
 
0.7%
5 18
 
0.4%
Latin
ValueCountFrequency (%)
C 255
25.0%
D 255
25.0%
F 255
25.0%
H 255
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1822
35.7%
1 1042
20.4%
3 562
 
11.0%
2 281
 
5.5%
C 255
 
5.0%
D 255
 
5.0%
F 255
 
5.0%
H 255
 
5.0%
9 233
 
4.6%
6 33
 
0.6%
Other values (4) 107
 
2.1%

인허가일자
Real number (ℝ)

Distinct246
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20029825
Minimum19910826
Maximum20221208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-18T13:00:54.493491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910826
5-th percentile19920894
Q119990114
median20011221
Q320060562
95-th percentile20190243
Maximum20221208
Range310382
Interquartile range (IQR)70449

Descriptive statistics

Standard deviation73752.092
Coefficient of variation (CV)0.0036821137
Kurtosis0.2010431
Mean20029825
Median Absolute Deviation (MAD)30206
Skewness0.88480075
Sum5.1076054 × 109
Variance5.4393711 × 109
MonotonicityNot monotonic
2024-04-18T13:00:54.620230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990917 4
 
1.6%
20030410 2
 
0.8%
20020711 2
 
0.8%
19981208 2
 
0.8%
20201215 2
 
0.8%
20010214 2
 
0.8%
19990304 2
 
0.8%
19930224 1
 
0.4%
19990802 1
 
0.4%
19990420 1
 
0.4%
Other values (236) 236
92.5%
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 (%)
20221208 1
0.4%
20211217 1
0.4%
20211207 1
0.4%
20210622 1
0.4%
20210609 1
0.4%
20210608 1
0.4%
20210413 1
0.4%
20201215 2
0.8%
20201210 1
0.4%
20200604 1
0.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3
170 
1
75 
4
 
7
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 170
66.7%
1 75
29.4%
4 7
 
2.7%
2 3
 
1.2%

Length

2024-04-18T13:00:54.736568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:00:54.816470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 170
66.7%
1 75
29.4%
4 7
 
2.7%
2 3
 
1.2%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
170 
영업/정상
75 
취소/말소/만료/정지/중지
 
7
휴업
 
3

Length

Max length14
Median length2
Mean length3.2117647
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 170
66.7%
영업/정상 75
29.4%
취소/말소/만료/정지/중지 7
 
2.7%
휴업 3
 
1.2%

Length

2024-04-18T13:00:54.905069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:00:54.988709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 170
66.7%
영업/정상 75
29.4%
취소/말소/만료/정지/중지 7
 
2.7%
휴업 3
 
1.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3
170 
13
75 
35
 
7
2
 
3

Length

Max length2
Median length1
Mean length1.3215686
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 170
66.7%
13 75
29.4%
35 7
 
2.7%
2 3
 
1.2%

Length

2024-04-18T13:00:55.092802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:00:55.183853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 170
66.7%
13 75
29.4%
35 7
 
2.7%
2 3
 
1.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
170 
영업중
75 
직권말소
 
7
휴업
 
3

Length

Max length4
Median length2
Mean length2.3490196
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 170
66.7%
영업중 75
29.4%
직권말소 7
 
2.7%
휴업 3
 
1.2%

Length

2024-04-18T13:00:55.284748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:00:55.380946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 170
66.7%
영업중 75
29.4%
직권말소 7
 
2.7%
휴업 3
 
1.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct164
Distinct (%)93.2%
Missing79
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean20108985
Minimum20010611
Maximum20221202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-18T13:00:55.477300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010611
5-th percentile20030388
Q120060328
median20105668
Q320151014
95-th percentile20200840
Maximum20221202
Range210591
Interquartile range (IQR)90685.75

Descriptive statistics

Standard deviation57186.826
Coefficient of variation (CV)0.0028438445
Kurtosis-1.1465883
Mean20108985
Median Absolute Deviation (MAD)45345.5
Skewness0.20730916
Sum3.5391813 × 109
Variance3.270333 × 109
MonotonicityNot monotonic
2024-04-18T13:00:55.612766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120905 3
 
1.2%
20060302 2
 
0.8%
20030516 2
 
0.8%
20061101 2
 
0.8%
20160610 2
 
0.8%
20080331 2
 
0.8%
20151014 2
 
0.8%
20061031 2
 
0.8%
20181101 2
 
0.8%
20090618 2
 
0.8%
Other values (154) 155
60.8%
(Missing) 79
31.0%
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 (%)
20221202 1
0.4%
20220906 1
0.4%
20220411 1
0.4%
20211213 1
0.4%
20211206 1
0.4%
20211202 1
0.4%
20210706 1
0.4%
20210224 1
0.4%
20200904 1
0.4%
20200818 1
0.4%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
252 
20031201
 
1
20200201
 
1
20221125
 
1

Length

Max length8
Median length4
Mean length4.0470588
Min length4

Unique

Unique3 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 252
98.8%
20031201 1
 
0.4%
20200201 1
 
0.4%
20221125 1
 
0.4%

Length

2024-04-18T13:00:55.743157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:00:55.833629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 252
98.8%
20031201 1
 
0.4%
20200201 1
 
0.4%
20221125 1
 
0.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
252 
20041201
 
1
20200831
 
1
20221125
 
1

Length

Max length8
Median length4
Mean length4.0470588
Min length4

Unique

Unique3 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 252
98.8%
20041201 1
 
0.4%
20200831 1
 
0.4%
20221125 1
 
0.4%

Length

2024-04-18T13:00:55.929317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:00:56.029766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 252
98.8%
20041201 1
 
0.4%
20200831 1
 
0.4%
20221125 1
 
0.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

소재지전화
Text

MISSING 

Distinct186
Distinct (%)94.4%
Missing58
Missing (%)22.7%
Memory size2.1 KiB
2024-04-18T13:00:56.241634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length9.3604061
Min length8

Characters and Unicode

Total characters1844
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

Unique176 ?
Unique (%)89.3%

Sample

1st row427-6392
2nd row257-5945
3rd row423-4740
4th row254-0789
5th row257-0454
ValueCountFrequency (%)
053-522-4544 3
 
1.5%
053-583-4991 2
 
1.0%
053-656-6886 2
 
1.0%
053-756-2333 2
 
1.0%
767-6228 2
 
1.0%
953-1690 2
 
1.0%
255-6075 2
 
1.0%
053-629-1999 2
 
1.0%
053-624-0536 2
 
1.0%
053-651-4849 2
 
1.0%
Other values (176) 176
89.3%
2024-04-18T13:00:56.565564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 307
16.6%
- 259
14.0%
3 222
12.0%
6 179
9.7%
2 149
8.1%
0 142
7.7%
4 133
7.2%
7 124
6.7%
9 116
 
6.3%
8 109
 
5.9%
Other values (4) 104
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1581
85.7%
Dash Punctuation 259
 
14.0%
Close Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 307
19.4%
3 222
14.0%
6 179
11.3%
2 149
9.4%
0 142
9.0%
4 133
8.4%
7 124
7.8%
9 116
 
7.3%
8 109
 
6.9%
1 100
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 259
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1844
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 307
16.6%
- 259
14.0%
3 222
12.0%
6 179
9.7%
2 149
8.1%
0 142
7.7%
4 133
7.2%
7 124
6.7%
9 116
 
6.3%
8 109
 
5.9%
Other values (4) 104
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1844
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 307
16.6%
- 259
14.0%
3 222
12.0%
6 179
9.7%
2 149
8.1%
0 142
7.7%
4 133
7.2%
7 124
6.7%
9 116
 
6.3%
8 109
 
5.9%
Other values (4) 104
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)47.5%
Missing36
Missing (%)14.1%
Infinite0
Infinite (%)0.0%
Mean703447.51
Minimum700020
Maximum711872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-18T13:00:56.701813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700020
5-th percentile700429.4
Q1701827
median703806
Q3704830
95-th percentile705824
Maximum711872
Range11852
Interquartile range (IQR)3003

Descriptive statistics

Standard deviation1771.4224
Coefficient of variation (CV)0.0025182013
Kurtosis1.0637692
Mean703447.51
Median Absolute Deviation (MAD)1126
Skewness0.36120753
Sum1.54055 × 108
Variance3137937.4
MonotonicityNot monotonic
2024-04-18T13:00:56.819668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701816 9
 
3.5%
704940 7
 
2.7%
703802 7
 
2.7%
701827 6
 
2.4%
701808 6
 
2.4%
704834 5
 
2.0%
704816 5
 
2.0%
704915 5
 
2.0%
703814 5
 
2.0%
703806 5
 
2.0%
Other values (94) 159
62.4%
(Missing) 36
 
14.1%
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

Distinct232
Distinct (%)91.3%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2024-04-18T13:00:57.148860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length22.65748
Min length18

Characters and Unicode

Total characters5755
Distinct characters95
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

Unique211 ?
Unique (%)83.1%

Sample

1st row대구광역시 중구 사일동 19-3번지
2nd row대구광역시 중구 남산동 2449-3번지
3rd row대구광역시 중구 동인동4가 120-10번지
4th row대구광역시 중구 남산동 700-10
5th row대구광역시 중구 대신동 115-7번지
ValueCountFrequency (%)
대구광역시 254
23.0%
달서구 65
 
5.9%
동구 59
 
5.3%
서구 45
 
4.1%
북구 31
 
2.8%
3층 24
 
2.2%
남구 23
 
2.1%
2층 21
 
1.9%
비산동 19
 
1.7%
중구 19
 
1.7%
Other values (290) 543
49.2%
2024-04-18T13:00:57.594023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1103
19.2%
구 506
 
8.8%
동 314
 
5.5%
대 282
 
4.9%
시 257
 
4.5%
광 254
 
4.4%
역 254
 
4.4%
- 241
 
4.2%
지 231
 
4.0%
2 219
 
3.8%
Other values (85) 2094
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3178
55.2%
Decimal Number 1224
 
21.3%
Space Separator 1103
 
19.2%
Dash Punctuation 241
 
4.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 506
15.9%
동 314
9.9%
대 282
8.9%
시 257
 
8.1%
광 254
 
8.0%
역 254
 
8.0%
지 231
 
7.3%
번 205
 
6.5%
서 110
 
3.5%
층 77
 
2.4%
Other values (70) 688
21.6%
Decimal Number
ValueCountFrequency (%)
2 219
17.9%
1 219
17.9%
3 176
14.4%
4 133
10.9%
5 106
8.7%
0 86
 
7.0%
9 73
 
6.0%
7 73
 
6.0%
6 71
 
5.8%
8 68
 
5.6%
Space Separator
ValueCountFrequency (%)
1103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 241
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3178
55.2%
Common 2577
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 506
15.9%
동 314
9.9%
대 282
8.9%
시 257
 
8.1%
광 254
 
8.0%
역 254
 
8.0%
지 231
 
7.3%
번 205
 
6.5%
서 110
 
3.5%
층 77
 
2.4%
Other values (70) 688
21.6%
Common
ValueCountFrequency (%)
1103
42.8%
- 241
 
9.4%
2 219
 
8.5%
1 219
 
8.5%
3 176
 
6.8%
4 133
 
5.2%
5 106
 
4.1%
0 86
 
3.3%
9 73
 
2.8%
7 73
 
2.8%
Other values (5) 148
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3178
55.2%
ASCII 2577
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1103
42.8%
- 241
 
9.4%
2 219
 
8.5%
1 219
 
8.5%
3 176
 
6.8%
4 133
 
5.2%
5 106
 
4.1%
0 86
 
3.3%
9 73
 
2.8%
7 73
 
2.8%
Other values (5) 148
 
5.7%
Hangul
ValueCountFrequency (%)
구 506
15.9%
동 314
9.9%
대 282
8.9%
시 257
 
8.1%
광 254
 
8.0%
역 254
 
8.0%
지 231
 
7.3%
번 205
 
6.5%
서 110
 
3.5%
층 77
 
2.4%
Other values (70) 688
21.6%

도로명전체주소
Text

MISSING 

Distinct228
Distinct (%)94.2%
Missing13
Missing (%)5.1%
Memory size2.1 KiB
2024-04-18T13:00:57.913924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length25.479339
Min length21

Characters and Unicode

Total characters6166
Distinct characters126
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

Unique214 ?
Unique (%)88.4%

Sample

1st row대구광역시 중구 국채보상로 701 (동인동4가)
2nd row대구광역시 중구 중앙대로61길 14 (남산동)
3rd row대구광역시 중구 국채보상로 452 (대신동)
4th row대구광역시 중구 경상감영1길 56 (향촌동)
5th row대구광역시 중구 달성로 72-13 (시장북로)
ValueCountFrequency (%)
대구광역시 242
 
19.5%
달서구 63
 
5.1%
동구 59
 
4.7%
서구 46
 
3.7%
북구 31
 
2.5%
남구 23
 
1.8%
비산동 19
 
1.5%
달서로 18
 
1.4%
내당동 15
 
1.2%
대명동 14
 
1.1%
Other values (350) 714
57.4%
2024-04-18T13:00:58.319112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1121
18.2%
구 524
 
8.5%
동 344
 
5.6%
대 318
 
5.2%
시 246
 
4.0%
( 242
 
3.9%
광 242
 
3.9%
역 242
 
3.9%
) 242
 
3.9%
로 242
 
3.9%
Other values (116) 2403
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3560
57.7%
Space Separator 1121
 
18.2%
Decimal Number 865
 
14.0%
Open Punctuation 242
 
3.9%
Close Punctuation 242
 
3.9%
Other Punctuation 97
 
1.6%
Dash Punctuation 38
 
0.6%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 524
14.7%
동 344
 
9.7%
대 318
 
8.9%
시 246
 
6.9%
광 242
 
6.8%
역 242
 
6.8%
로 242
 
6.8%
서 149
 
4.2%
달 108
 
3.0%
층 89
 
2.5%
Other values (100) 1056
29.7%
Decimal Number
ValueCountFrequency (%)
1 181
20.9%
2 160
18.5%
3 111
12.8%
5 92
10.6%
4 80
9.2%
6 59
 
6.8%
8 55
 
6.4%
7 46
 
5.3%
0 42
 
4.9%
9 39
 
4.5%
Space Separator
ValueCountFrequency (%)
1121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 242
100.0%
Close Punctuation
ValueCountFrequency (%)
) 242
100.0%
Other Punctuation
ValueCountFrequency (%)
, 97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3560
57.7%
Common 2605
42.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 524
14.7%
동 344
 
9.7%
대 318
 
8.9%
시 246
 
6.9%
광 242
 
6.8%
역 242
 
6.8%
로 242
 
6.8%
서 149
 
4.2%
달 108
 
3.0%
층 89
 
2.5%
Other values (100) 1056
29.7%
Common
ValueCountFrequency (%)
1121
43.0%
( 242
 
9.3%
) 242
 
9.3%
1 181
 
6.9%
2 160
 
6.1%
3 111
 
4.3%
, 97
 
3.7%
5 92
 
3.5%
4 80
 
3.1%
6 59
 
2.3%
Other values (5) 220
 
8.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3560
57.7%
ASCII 2606
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1121
43.0%
( 242
 
9.3%
) 242
 
9.3%
1 181
 
6.9%
2 160
 
6.1%
3 111
 
4.3%
, 97
 
3.7%
5 92
 
3.5%
4 80
 
3.1%
6 59
 
2.3%
Other values (6) 221
 
8.5%
Hangul
ValueCountFrequency (%)
구 524
14.7%
동 344
 
9.7%
대 318
 
8.9%
시 246
 
6.9%
광 242
 
6.8%
역 242
 
6.8%
로 242
 
6.8%
서 149
 
4.2%
달 108
 
3.0%
층 89
 
2.5%
Other values (100) 1056
29.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)73.5%
Missing172
Missing (%)67.5%
Infinite0
Infinite (%)0.0%
Mean177495.22
Minimum41142
Maximum706839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-18T13:00:58.433614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41142
5-th percentile41231.9
Q141560
median42132
Q342747
95-th percentile704937.4
Maximum706839
Range665697
Interquartile range (IQR)1187

Descriptive statistics

Standard deviation268683.7
Coefficient of variation (CV)1.5137518
Kurtosis0.22480728
Mean177495.22
Median Absolute Deviation (MAD)572
Skewness1.4899331
Sum14732103
Variance7.2190928 × 1010
MonotonicityNot monotonic
2024-04-18T13:00:58.548711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42612 6
 
2.4%
41560 3
 
1.2%
41812 3
 
1.2%
41557 3
 
1.2%
41142 2
 
0.8%
41423 2
 
0.8%
42459 2
 
0.8%
41564 2
 
0.8%
41447 2
 
0.8%
704940 2
 
0.8%
Other values (51) 56
 
22.0%
(Missing) 172
67.5%
ValueCountFrequency (%)
41142 2
0.8%
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 2
0.8%
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

Distinct221
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-18T13:00:58.783211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.5764706
Min length2

Characters and Unicode

Total characters1677
Distinct characters192
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

Unique197 ?
Unique (%)77.3%

Sample

1st row영호무도학원
2nd row현대무도학원
3rd row세진무도학원
4th row송림무도학원
5th row대화무도학원
ValueCountFrequency (%)
무도학원 14
 
4.9%
강혜란무도학원 5
 
1.8%
현대무도학원 5
 
1.8%
침산무도학원 3
 
1.1%
성당무도학원 3
 
1.1%
명성무도학원 3
 
1.1%
댄스스포츠 3
 
1.1%
반고개무도학원 3
 
1.1%
한일무도학원 3
 
1.1%
동구무도학원 2
 
0.7%
Other values (220) 239
84.5%
2024-04-18T13:00:59.116743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 201
 
12.0%
학 192
 
11.4%
도 190
 
11.3%
무 185
 
11.0%
스 126
 
7.5%
댄 60
 
3.6%
츠 51
 
3.0%
포 51
 
3.0%
28
 
1.7%
동 20
 
1.2%
Other values (182) 573
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1627
97.0%
Space Separator 28
 
1.7%
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 201
 
12.4%
학 192
 
11.8%
도 190
 
11.7%
무 185
 
11.4%
스 126
 
7.7%
댄 60
 
3.7%
츠 51
 
3.1%
포 51
 
3.1%
동 20
 
1.2%
성 19
 
1.2%
Other values (170) 532
32.7%
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 (%)
28
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 1627
97.0%
Common 37
 
2.2%
Latin 13
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 201
 
12.4%
학 192
 
11.8%
도 190
 
11.7%
무 185
 
11.4%
스 126
 
7.7%
댄 60
 
3.7%
츠 51
 
3.1%
포 51
 
3.1%
동 20
 
1.2%
성 19
 
1.2%
Other values (170) 532
32.7%
Common
ValueCountFrequency (%)
28
75.7%
2 3
 
8.1%
& 2
 
5.4%
5 1
 
2.7%
1 1
 
2.7%
) 1
 
2.7%
( 1
 
2.7%
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 1627
97.0%
ASCII 50
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 201
 
12.4%
학 192
 
11.8%
도 190
 
11.7%
무 185
 
11.4%
스 126
 
7.7%
댄 60
 
3.7%
츠 51
 
3.1%
포 51
 
3.1%
동 20
 
1.2%
성 19
 
1.2%
Other values (170) 532
32.7%
ASCII
ValueCountFrequency (%)
28
56.0%
J 4
 
8.0%
K 4
 
8.0%
S 3
 
6.0%
2 3
 
6.0%
& 2
 
4.0%
5 1
 
2.0%
Y 1
 
2.0%
1 1
 
2.0%
) 1
 
2.0%
Other values (2) 2
 
4.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct255
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0135141 × 1013
Minimum2.0030115 × 1013
Maximum2.0221208 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-18T13:00:59.270687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030115 × 1013
5-th percentile2.0030526 × 1013
Q12.0081125 × 1013
median2.0141029 × 1013
Q32.0190865 × 1013
95-th percentile2.0220622 × 1013
Maximum2.0221208 × 1013
Range1.9109292 × 1011
Interquartile range (IQR)1.0974003 × 1011

Descriptive statistics

Standard deviation6.2579485 × 1010
Coefficient of variation (CV)0.0031079736
Kurtosis-1.2532945
Mean2.0135141 × 1013
Median Absolute Deviation (MAD)5.910104 × 1010
Skewness-0.21380889
Sum5.1344609 × 1015
Variance3.916192 × 1021
MonotonicityNot monotonic
2024-04-18T13:00:59.420214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20051206173811 1
 
0.4%
20051205140416 1
 
0.4%
20200324100931 1
 
0.4%
20090717085815 1
 
0.4%
20221202174453 1
 
0.4%
20200516184858 1
 
0.4%
20220105110449 1
 
0.4%
20150401150304 1
 
0.4%
20190308101807 1
 
0.4%
20210527102418 1
 
0.4%
Other values (245) 245
96.1%
ValueCountFrequency (%)
20030115170656 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%
20030526170055 1
0.4%
ValueCountFrequency (%)
20221208093441 1
0.4%
20221202174453 1
0.4%
20221125141442 1
0.4%
20221102113907 1
0.4%
20220919100509 1
0.4%
20220906130953 1
0.4%
20220810144428 1
0.4%
20220810143946 1
0.4%
20220810142840 1
0.4%
20220810142745 1
0.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I
178 
U
77 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 178
69.8%
U 77
30.2%

Length

2024-04-18T13:00:59.539186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:00:59.622494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 178
69.8%
u 77
30.2%

데이터갱신일자
Date

Distinct69
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-10 00:40:06
2024-04-18T13:00:59.716424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T13:00:59.869991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct196
Distinct (%)79.0%
Missing7
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean342907.73
Minimum330376.07
Maximum354441.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-18T13:00:59.989515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330376.07
5-th percentile335960.55
Q1340381.98
median342038.31
Q3346163.83
95-th percentile348644.42
Maximum354441.6
Range24065.534
Interquartile range (IQR)5781.8499

Descriptive statistics

Standard deviation4092.8942
Coefficient of variation (CV)0.011935847
Kurtosis0.60195034
Mean342907.73
Median Absolute Deviation (MAD)2402.4219
Skewness0.32149513
Sum85041117
Variance16751783
MonotonicityNot monotonic
2024-04-18T13:01:00.114063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341918.332239597 5
 
2.0%
341807.548889711 5
 
2.0%
348644.422813612 4
 
1.6%
335921.019181309 4
 
1.6%
340582.81104844 3
 
1.2%
346892.942619975 3
 
1.2%
338749.058511883 3
 
1.2%
339638.7472774 3
 
1.2%
339663.506614671 2
 
0.8%
346729.306521653 2
 
0.8%
Other values (186) 214
83.9%
(Missing) 7
 
2.7%
ValueCountFrequency (%)
330376.065263143 2
0.8%
334549.536990141 1
 
0.4%
335841.1142484 1
 
0.4%
335892.027269619 2
0.8%
335904.626594615 1
 
0.4%
335921.019181309 4
1.6%
335952.866799062 2
0.8%
335974.805125957 1
 
0.4%
335976.252488121 1
 
0.4%
336506.557873137 1
 
0.4%
ValueCountFrequency (%)
354441.599326408 1
0.4%
354072.130645894 1
0.4%
354031.721905774 2
0.8%
353764.338509825 1
0.4%
353667.461130308 1
0.4%
353512.819094368 1
0.4%
352663.522946133 1
0.4%
351453.246508324 2
0.8%
350381.105340231 1
0.4%
350324.186886976 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct196
Distinct (%)79.0%
Missing7
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean263769.18
Minimum245171.87
Maximum277798.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-18T13:01:00.225965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245171.87
5-th percentile258258.82
Q1262148.05
median264312.6
Q3265563.85
95-th percentile267190.01
Maximum277798.82
Range32626.953
Interquartile range (IQR)3415.8024

Descriptive statistics

Standard deviation3308.8135
Coefficient of variation (CV)0.012544352
Kurtosis8.314649
Mean263769.18
Median Absolute Deviation (MAD)1820.4894
Skewness-1.0169095
Sum65414756
Variance10948247
MonotonicityNot monotonic
2024-04-18T13:01:00.348320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263704.826465269 5
 
2.0%
262118.118471309 5
 
2.0%
266825.726401877 4
 
1.6%
262555.588663467 4
 
1.6%
263619.823875988 3
 
1.2%
264716.87017094 3
 
1.2%
261141.544145696 3
 
1.2%
258034.934254348 3
 
1.2%
258042.71086172 2
 
0.8%
265878.236596683 2
 
0.8%
Other values (186) 214
83.9%
(Missing) 7
 
2.7%
ValueCountFrequency (%)
245171.869089713 2
0.8%
257414.736299709 1
 
0.4%
258011.690840577 1
 
0.4%
258034.934254348 3
1.2%
258039.238986904 1
 
0.4%
258042.71086172 2
0.8%
258086.877543237 2
0.8%
258201.759529838 1
 
0.4%
258364.786695239 1
 
0.4%
258529.697751916 1
 
0.4%
ValueCountFrequency (%)
277798.822543844 1
0.4%
272615.545287535 1
0.4%
272554.17507644 1
0.4%
271717.519443822 1
0.4%
271659.061676712 1
0.4%
271304.871490682 1
0.4%
271302.954112837 1
0.4%
269507.86990058 1
0.4%
269196.603202141 1
0.4%
267732.34496282 1
0.4%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
무도학원업
255 

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 255
100.0%

Length

2024-04-18T13:01:00.456736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:01:00.535092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 255
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
사립
255 

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 255
100.0%

Length

2024-04-18T13:01:00.611712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:01:00.692790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 255
100.0%

보험가입여부코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
96 
<NA>
94 
Y
53 
1
12 

Length

Max length4
Median length1
Mean length2.1058824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 96
37.6%
<NA> 94
36.9%
Y 53
20.8%
1 12
 
4.7%

Length

2024-04-18T13:01:00.793602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:01:00.893842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 96
37.6%
na 94
36.9%
y 53
20.8%
1 12
 
4.7%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
224 
0
30 
1
 
1

Length

Max length4
Median length4
Mean length3.6352941
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> 224
87.8%
0 30
 
11.8%
1 1
 
0.4%

Length

2024-04-18T13:01:00.986586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:01:01.081498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 224
87.8%
0 30
 
11.8%
1 1
 
0.4%

건축물동수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
210 
0
29 
1
 
15
2
 
1

Length

Max length4
Median length4
Mean length3.4705882
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> 210
82.4%
0 29
 
11.4%
1 15
 
5.9%
2 1
 
0.4%

Length

2024-04-18T13:01:01.171746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:01:01.260145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 210
82.4%
0 29
 
11.4%
1 15
 
5.9%
2 1
 
0.4%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct77
Distinct (%)74.0%
Missing151
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean505.10962
Minimum0
Maximum8593.94
Zeros24
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-18T13:01:01.366499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166.405
median127.875
Q3457.58
95-th percentile1752.92
Maximum8593.94
Range8593.94
Interquartile range (IQR)391.175

Descriptive statistics

Standard deviation1134.2954
Coefficient of variation (CV)2.2456422
Kurtosis31.812992
Mean505.10962
Median Absolute Deviation (MAD)127.875
Skewness5.1870619
Sum52531.4
Variance1286626.2
MonotonicityNot monotonic
2024-04-18T13:01:01.476772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
9.4%
413.22 3
 
1.2%
1649.9 2
 
0.8%
457.58 2
 
0.8%
79.2 1
 
0.4%
67.38 1
 
0.4%
139.32 1
 
0.4%
172.86 1
 
0.4%
67.43 1
 
0.4%
164.4 1
 
0.4%
Other values (67) 67
26.3%
(Missing) 151
59.2%
ValueCountFrequency (%)
0.0 24
9.4%
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%
1595.7 1
0.4%
1524.0 1
0.4%
1368.72 1
0.4%

회원모집총인원
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
225 
0
30 

Length

Max length4
Median length4
Mean length3.6470588
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> 225
88.2%
0 30
 
11.8%

Length

2024-04-18T13:01:01.585009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:01:01.667674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
88.2%
0 30
 
11.8%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(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_P3410000CDFH330111199900000219990616<NA>3폐업3폐업20051202<NA><NA><NA>257-5945<NA>700805대구광역시 중구 남산동 2449-3번지<NA><NA>현대무도학원20051205140416I2018-08-31 23:59:59.0<NA><NA><NA>무도학원업사립0<NA><NA>137.0<NA><NA><NA>
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34무도학원업10_33_02_P3410000CDFH330111199200000419920828<NA>3폐업3폐업20200818<NA><NA><NA>254-0789<NA>700803대구광역시 중구 남산동 700-10대구광역시 중구 중앙대로61길 14 (남산동)41968송림무도학원20200818093111U2020-08-20 02:40:00.0<NA>343653.234033263404.99816무도학원업사립Y<NA><NA>987.03<NA><NA><NA>
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56무도학원업10_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>
67무도학원업10_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>
78무도학원업10_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>
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910무도학원업10_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>
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