Overview

Dataset statistics

Number of variables37
Number of observations254
Missing cells2060
Missing cells (%)21.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory79.3 KiB
Average record size in memory319.5 B

Variable types

Numeric10
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description22년05월_6270000_대구광역시_10_33_02_P_무도학원업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093419&dataSetDetailId=DDI_0000093488&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 (95.3%)Imbalance
휴업종료일자 is highly imbalanced (95.3%)Imbalance
지도자수 is highly imbalanced (83.7%)Imbalance
건축물동수 is highly imbalanced (71.1%)Imbalance
회원모집총인원 is highly imbalanced (77.9%)Imbalance
인허가취소일자 has 254 (100.0%) missing valuesMissing
폐업일자 has 80 (31.5%) missing valuesMissing
재개업일자 has 254 (100.0%) missing valuesMissing
소재지전화 has 56 (22.0%) missing valuesMissing
소재지면적 has 254 (100.0%) missing valuesMissing
소재지우편번호 has 33 (13.0%) missing valuesMissing
도로명전체주소 has 13 (5.1%) missing valuesMissing
도로명우편번호 has 174 (68.5%) missing valuesMissing
업태구분명 has 254 (100.0%) missing valuesMissing
좌표정보(X) has 6 (2.4%) missing valuesMissing
좌표정보(Y) has 6 (2.4%) missing valuesMissing
건축물연면적 has 167 (65.7%) missing valuesMissing
세부업종명 has 254 (100.0%) missing valuesMissing
법인명 has 254 (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 8 (3.1%) zerosZeros

Reproduction

Analysis started2024-04-21 16:22:05.566902
Analysis finished2024-04-21 16:22:06.428923
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct254
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.5
Minimum1
Maximum254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T01:22:06.623097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.65
Q164.25
median127.5
Q3190.75
95-th percentile241.35
Maximum254
Range253
Interquartile range (IQR)126.5

Descriptive statistics

Standard deviation73.46768
Coefficient of variation (CV)0.5762171
Kurtosis-1.2
Mean127.5
Median Absolute Deviation (MAD)63.5
Skewness0
Sum32385
Variance5397.5
MonotonicityStrictly increasing
2024-04-22T01:22:07.067281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
176 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 (244) 244
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 (%)
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%
245 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
무도학원업
254 

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 254
100.0%

Length

2024-04-22T01:22:07.473869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:07.760537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 254
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
10_33_02_P
254 

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 254
100.0%

Length

2024-04-22T01:22:08.065606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:08.354442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_33_02_p 254
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3441299.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T01:22:08.617509image/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 deviation21196.545
Coefficient of variation (CV)0.00615946
Kurtosis-1.4094548
Mean3441299.2
Median Absolute Deviation (MAD)20000
Skewness0.21727712
Sum8.7409 × 108
Variance4.4929352 × 108
MonotonicityIncreasing
2024-04-22T01:22:08.988236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 65
25.6%
3420000 59
23.2%
3430000 46
18.1%
3450000 31
12.2%
3440000 22
 
8.7%
3410000 19
 
7.5%
3460000 10
 
3.9%
3480000 2
 
0.8%
ValueCountFrequency (%)
3410000 19
 
7.5%
3420000 59
23.2%
3430000 46
18.1%
3440000 22
 
8.7%
3450000 31
12.2%
3460000 10
 
3.9%
3470000 65
25.6%
3480000 2
 
0.8%
ValueCountFrequency (%)
3480000 2
 
0.8%
3470000 65
25.6%
3460000 10
 
3.9%
3450000 31
12.2%
3440000 22
 
8.7%
3430000 46
18.1%
3420000 59
23.2%
3410000 19
 
7.5%

관리번호
Text

Distinct113
Distinct (%)44.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-22T01:22:09.764338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5080
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 (%)15.7%

Sample

1st rowCDFH3301111993000001
2nd rowCDFH3301111999000002
3rd rowCDFH3301111992000001
4th rowCDFH3301111992000004
5th rowCDFH3301111997000001
ValueCountFrequency (%)
cdfh3301111999000002 7
 
2.8%
cdfh3301111999000003 6
 
2.4%
cdfh3301111999000001 6
 
2.4%
cdfh3301112002000001 6
 
2.4%
cdfh3301112000000001 5
 
2.0%
cdfh3301112003000001 5
 
2.0%
cdfh3301111996000001 5
 
2.0%
cdfh3301112021000001 5
 
2.0%
cdfh3301111992000001 5
 
2.0%
cdfh3301112002000002 5
 
2.0%
Other values (103) 199
78.3%
2024-04-22T01:22:10.915781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1815
35.7%
1 1038
20.4%
3 560
 
11.0%
2 278
 
5.5%
C 254
 
5.0%
D 254
 
5.0%
F 254
 
5.0%
H 254
 
5.0%
9 233
 
4.6%
6 33
 
0.6%
Other values (4) 107
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4064
80.0%
Uppercase Letter 1016
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1815
44.7%
1 1038
25.5%
3 560
 
13.8%
2 278
 
6.8%
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 254
25.0%
D 254
25.0%
F 254
25.0%
H 254
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4064
80.0%
Latin 1016
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1815
44.7%
1 1038
25.5%
3 560
 
13.8%
2 278
 
6.8%
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 254
25.0%
D 254
25.0%
F 254
25.0%
H 254
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1815
35.7%
1 1038
20.4%
3 560
 
11.0%
2 278
 
5.5%
C 254
 
5.0%
D 254
 
5.0%
F 254
 
5.0%
H 254
 
5.0%
9 233
 
4.6%
6 33
 
0.6%
Other values (4) 107
 
2.1%

인허가일자
Real number (ℝ)

Distinct245
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20029072
Minimum19910826
Maximum20211217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T01:22:11.334079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910826
5-th percentile19920889
Q119990112
median20011213
Q320060486
95-th percentile20184269
Maximum20211217
Range300391
Interquartile range (IQR)70374

Descriptive statistics

Standard deviation72907.669
Coefficient of variation (CV)0.0036400923
Kurtosis0.21126879
Mean20029072
Median Absolute Deviation (MAD)30143
Skewness0.87874028
Sum5.0873842 × 109
Variance5.3155282 × 109
MonotonicityNot monotonic
2024-04-22T01:22:11.780777image/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%
19990304 2
 
0.8%
20010214 2
 
0.8%
19930224 1
 
0.4%
20020603 1
 
0.4%
20011221 1
 
0.4%
Other values (235) 235
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 (%)
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%
20200130 1
0.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3
168 
1
77 
4
 
7
2
 
2

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 (%)
3 168
66.1%
1 77
30.3%
4 7
 
2.8%
2 2
 
0.8%

Length

2024-04-22T01:22:12.185697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:12.677067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 168
66.1%
1 77
30.3%
4 7
 
2.8%
2 2
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
168 
영업/정상
77 
취소/말소/만료/정지/중지
 
7
휴업
 
2

Length

Max length14
Median length2
Mean length3.2401575
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 168
66.1%
영업/정상 77
30.3%
취소/말소/만료/정지/중지 7
 
2.8%
휴업 2
 
0.8%

Length

2024-04-22T01:22:13.035270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:13.360988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 168
66.1%
영업/정상 77
30.3%
취소/말소/만료/정지/중지 7
 
2.8%
휴업 2
 
0.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3
168 
13
77 
35
 
7
2
 
2

Length

Max length2
Median length1
Mean length1.3307087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 168
66.1%
13 77
30.3%
35 7
 
2.8%
2 2
 
0.8%

Length

2024-04-22T01:22:13.729426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:14.056126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 168
66.1%
13 77
30.3%
35 7
 
2.8%
2 2
 
0.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
168 
영업중
77 
직권말소
 
7
휴업
 
2

Length

Max length4
Median length2
Mean length2.3582677
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 168
66.1%
영업중 77
30.3%
직권말소 7
 
2.8%
휴업 2
 
0.8%

Length

2024-04-22T01:22:14.441847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:14.791933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 168
66.1%
영업중 77
30.3%
직권말소 7
 
2.8%
휴업 2
 
0.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct162
Distinct (%)93.1%
Missing80
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean20107696
Minimum20010611
Maximum20220411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T01:22:15.148876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010611
5-th percentile20030378
Q120060325
median20100971
Q320150989
95-th percentile20200712
Maximum20220411
Range209800
Interquartile range (IQR)90664

Descriptive statistics

Standard deviation56225.208
Coefficient of variation (CV)0.0027962034
Kurtosis-1.1627085
Mean20107696
Median Absolute Deviation (MAD)49302.5
Skewness0.19760945
Sum3.4987392 × 109
Variance3.1612741 × 109
MonotonicityNot monotonic
2024-04-22T01:22:15.567750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120905 3
 
1.2%
20090618 2
 
0.8%
20060302 2
 
0.8%
20151014 2
 
0.8%
20080331 2
 
0.8%
20061101 2
 
0.8%
20160610 2
 
0.8%
20061031 2
 
0.8%
20150324 2
 
0.8%
20181101 2
 
0.8%
Other values (152) 153
60.2%
(Missing) 80
31.5%
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 (%)
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%
20200731 1
0.4%
20200701 1
0.4%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
252 
20031201
 
1
20200201
 
1

Length

Max length8
Median length4
Mean length4.0314961
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 252
99.2%
20031201 1
 
0.4%
20200201 1
 
0.4%

Length

2024-04-22T01:22:16.000987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:16.341667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 252
99.2%
20031201 1
 
0.4%
20200201 1
 
0.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
252 
20041201
 
1
20200831
 
1

Length

Max length8
Median length4
Mean length4.0314961
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 252
99.2%
20041201 1
 
0.4%
20200831 1
 
0.4%

Length

2024-04-22T01:22:16.717628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:17.055768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 252
99.2%
20041201 1
 
0.4%
20200831 1
 
0.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

소재지전화
Text

MISSING 

Distinct187
Distinct (%)94.4%
Missing56
Missing (%)22.0%
Memory size2.1 KiB
2024-04-22T01:22:17.883852image/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 row257-5945
3rd row423-4740
4th row254-0789
5th row257-0454
ValueCountFrequency (%)
053-522-4544 3
 
1.5%
053-651-4849 2
 
1.0%
953-1690 2
 
1.0%
053-624-0536 2
 
1.0%
255-6075 2
 
1.0%
053-656-6886 2
 
1.0%
053-583-4991 2
 
1.0%
053-756-2333 2
 
1.0%
767-6228 2
 
1.0%
053-629-1999 2
 
1.0%
Other values (177) 177
89.4%
2024-04-22T01:22:19.152897image/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 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)47.5%
Missing33
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean703441.91
Minimum700020
Maximum711872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T01:22:19.563426image/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
2024-04-22T01:22:20.007275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701816 9
 
3.5%
704940 7
 
2.8%
703802 7
 
2.8%
701827 7
 
2.8%
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 (95) 160
63.0%
(Missing) 33
 
13.0%
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

Distinct229
Distinct (%)90.5%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2024-04-22T01:22:21.398190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length22.881423
Min length18

Characters and Unicode

Total characters5789
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

Unique207 ?
Unique (%)81.8%

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 253
22.9%
달서구 65
 
5.9%
동구 59
 
5.3%
서구 45
 
4.1%
북구 31
 
2.8%
3층 24
 
2.2%
남구 22
 
2.0%
2층 21
 
1.9%
중구 19
 
1.7%
신천동 18
 
1.6%
Other values (292) 547
49.5%
2024-04-22T01:22:23.213896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1104
19.1%
구 504
 
8.7%
동 314
 
5.4%
대 280
 
4.8%
시 256
 
4.4%
광 253
 
4.4%
역 253
 
4.4%
지 247
 
4.3%
- 240
 
4.1%
1 223
 
3.9%
Other values (86) 2115
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3210
55.4%
Decimal Number 1226
 
21.2%
Space Separator 1104
 
19.1%
Dash Punctuation 240
 
4.1%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 504
15.7%
동 314
9.8%
대 280
8.7%
시 256
 
8.0%
광 253
 
7.9%
역 253
 
7.9%
지 247
 
7.7%
번 220
 
6.9%
서 110
 
3.4%
층 78
 
2.4%
Other values (71) 695
21.7%
Decimal Number
ValueCountFrequency (%)
1 223
18.2%
2 218
17.8%
3 176
14.4%
4 133
10.8%
5 107
8.7%
0 87
 
7.1%
7 74
 
6.0%
6 72
 
5.9%
9 71
 
5.8%
8 65
 
5.3%
Space Separator
ValueCountFrequency (%)
1104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 240
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 3210
55.4%
Common 2579
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 504
15.7%
동 314
9.8%
대 280
8.7%
시 256
 
8.0%
광 253
 
7.9%
역 253
 
7.9%
지 247
 
7.7%
번 220
 
6.9%
서 110
 
3.4%
층 78
 
2.4%
Other values (71) 695
21.7%
Common
ValueCountFrequency (%)
1104
42.8%
- 240
 
9.3%
1 223
 
8.6%
2 218
 
8.5%
3 176
 
6.8%
4 133
 
5.2%
5 107
 
4.1%
0 87
 
3.4%
7 74
 
2.9%
6 72
 
2.8%
Other values (5) 145
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3210
55.4%
ASCII 2579
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1104
42.8%
- 240
 
9.3%
1 223
 
8.6%
2 218
 
8.5%
3 176
 
6.8%
4 133
 
5.2%
5 107
 
4.1%
0 87
 
3.4%
7 74
 
2.9%
6 72
 
2.8%
Other values (5) 145
 
5.6%
Hangul
ValueCountFrequency (%)
구 504
15.7%
동 314
9.8%
대 280
8.7%
시 256
 
8.0%
광 253
 
7.9%
역 253
 
7.9%
지 247
 
7.7%
번 220
 
6.9%
서 110
 
3.4%
층 78
 
2.4%
Other values (71) 695
21.7%

도로명전체주소
Text

MISSING 

Distinct227
Distinct (%)94.2%
Missing13
Missing (%)5.1%
Memory size2.1 KiB
2024-04-22T01:22:24.415145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length25.593361
Min length21

Characters and Unicode

Total characters6168
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

Unique213 ?
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 241
 
19.5%
달서구 63
 
5.1%
동구 59
 
4.8%
서구 46
 
3.7%
북구 31
 
2.5%
남구 22
 
1.8%
달서로 18
 
1.5%
비산동 18
 
1.5%
내당동 15
 
1.2%
성당로 14
 
1.1%
Other values (355) 712
57.5%
2024-04-22T01:22:26.062703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1124
18.2%
구 522
 
8.5%
동 344
 
5.6%
대 315
 
5.1%
시 245
 
4.0%
로 241
 
3.9%
( 241
 
3.9%
) 241
 
3.9%
역 241
 
3.9%
광 241
 
3.9%
Other values (117) 2413
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3559
57.7%
Space Separator 1124
 
18.2%
Decimal Number 868
 
14.1%
Open Punctuation 241
 
3.9%
Close Punctuation 241
 
3.9%
Other Punctuation 97
 
1.6%
Dash Punctuation 37
 
0.6%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 522
14.7%
동 344
 
9.7%
대 315
 
8.9%
시 245
 
6.9%
로 241
 
6.8%
역 241
 
6.8%
광 241
 
6.8%
서 149
 
4.2%
달 109
 
3.1%
층 87
 
2.4%
Other values (101) 1065
29.9%
Decimal Number
ValueCountFrequency (%)
1 181
20.9%
2 161
18.5%
3 111
12.8%
5 92
10.6%
4 79
9.1%
6 62
 
7.1%
8 54
 
6.2%
7 45
 
5.2%
0 44
 
5.1%
9 39
 
4.5%
Space Separator
ValueCountFrequency (%)
1124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 241
100.0%
Other Punctuation
ValueCountFrequency (%)
, 97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3559
57.7%
Common 2608
42.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 522
14.7%
동 344
 
9.7%
대 315
 
8.9%
시 245
 
6.9%
로 241
 
6.8%
역 241
 
6.8%
광 241
 
6.8%
서 149
 
4.2%
달 109
 
3.1%
층 87
 
2.4%
Other values (101) 1065
29.9%
Common
ValueCountFrequency (%)
1124
43.1%
( 241
 
9.2%
) 241
 
9.2%
1 181
 
6.9%
2 161
 
6.2%
3 111
 
4.3%
, 97
 
3.7%
5 92
 
3.5%
4 79
 
3.0%
6 62
 
2.4%
Other values (5) 219
 
8.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3559
57.7%
ASCII 2609
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1124
43.1%
( 241
 
9.2%
) 241
 
9.2%
1 181
 
6.9%
2 161
 
6.2%
3 111
 
4.3%
, 97
 
3.7%
5 92
 
3.5%
4 79
 
3.0%
6 62
 
2.4%
Other values (6) 220
 
8.4%
Hangul
ValueCountFrequency (%)
구 522
14.7%
동 344
 
9.7%
대 315
 
8.9%
시 245
 
6.9%
로 241
 
6.8%
역 241
 
6.8%
광 241
 
6.8%
서 149
 
4.2%
달 109
 
3.1%
층 87
 
2.4%
Other values (101) 1065
29.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)73.8%
Missing174
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean182583.7
Minimum41142
Maximum706839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T01:22:26.452435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41142
5-th percentile41248.05
Q141560
median42164.5
Q342804.25
95-th percentile704940
Maximum706839
Range665697
Interquartile range (IQR)1244.25

Descriptive statistics

Standard deviation272409.46
Coefficient of variation (CV)1.4919703
Kurtosis0.053195487
Mean182583.7
Median Absolute Deviation (MAD)605.5
Skewness1.4326286
Sum14606696
Variance7.4206913 × 1010
MonotonicityNot monotonic
2024-04-22T01:22:26.880445image/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%
704940 2
 
0.8%
42459 2
 
0.8%
41423 2
 
0.8%
41564 2
 
0.8%
41447 2
 
0.8%
42132 2
 
0.8%
Other values (49) 53
 
20.9%
(Missing) 174
68.5%
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 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

Distinct219
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-22T01:22:27.796035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.5787402
Min length2

Characters and Unicode

Total characters1671
Distinct characters191
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

Unique194 ?
Unique (%)76.4%

Sample

1st row영호무도학원
2nd row현대무도학원
3rd row세진무도학원
4th row송림무도학원
5th row대화무도학원
ValueCountFrequency (%)
무도학원 13
 
4.6%
강혜란무도학원 5
 
1.8%
현대무도학원 5
 
1.8%
한일무도학원 3
 
1.1%
성당무도학원 3
 
1.1%
댄스스포츠 3
 
1.1%
명성무도학원 3
 
1.1%
반고개무도학원 3
 
1.1%
침산무도학원 3
 
1.1%
송림무도학원 2
 
0.7%
Other values (218) 238
84.7%
2024-04-22T01:22:29.121951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 200
 
12.0%
학 191
 
11.4%
도 189
 
11.3%
무 184
 
11.0%
스 125
 
7.5%
댄 60
 
3.6%
츠 51
 
3.1%
포 51
 
3.1%
27
 
1.6%
동 20
 
1.2%
Other values (181) 573
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1622
97.1%
Space Separator 27
 
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 200
 
12.3%
학 191
 
11.8%
도 189
 
11.7%
무 184
 
11.3%
스 125
 
7.7%
댄 60
 
3.7%
츠 51
 
3.1%
포 51
 
3.1%
동 20
 
1.2%
성 19
 
1.2%
Other values (169) 532
32.8%
Uppercase Letter
ValueCountFrequency (%)
K 4
30.8%
J 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 (%)
27
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 1622
97.1%
Common 36
 
2.2%
Latin 13
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 200
 
12.3%
학 191
 
11.8%
도 189
 
11.7%
무 184
 
11.3%
스 125
 
7.7%
댄 60
 
3.7%
츠 51
 
3.1%
포 51
 
3.1%
동 20
 
1.2%
성 19
 
1.2%
Other values (169) 532
32.8%
Common
ValueCountFrequency (%)
27
75.0%
2 3
 
8.3%
& 2
 
5.6%
5 1
 
2.8%
1 1
 
2.8%
) 1
 
2.8%
( 1
 
2.8%
Latin
ValueCountFrequency (%)
K 4
30.8%
J 4
30.8%
S 3
23.1%
Y 1
 
7.7%
O 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1622
97.1%
ASCII 49
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 200
 
12.3%
학 191
 
11.8%
도 189
 
11.7%
무 184
 
11.3%
스 125
 
7.7%
댄 60
 
3.7%
츠 51
 
3.1%
포 51
 
3.1%
동 20
 
1.2%
성 19
 
1.2%
Other values (169) 532
32.8%
ASCII
ValueCountFrequency (%)
27
55.1%
K 4
 
8.2%
J 4
 
8.2%
2 3
 
6.1%
S 3
 
6.1%
& 2
 
4.1%
5 1
 
2.0%
1 1
 
2.0%
Y 1
 
2.0%
) 1
 
2.0%
Other values (2) 2
 
4.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct254
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0130538 × 1013
Minimum2.0030115 × 1013
Maximum2.0220525 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T01:22:29.532382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030115 × 1013
5-th percentile2.0030526 × 1013
Q12.0081125 × 1013
median2.0140422 × 1013
Q32.0181122 × 1013
95-th percentile2.0211113 × 1013
Maximum2.0220525 × 1013
Range1.9040994 × 1011
Interquartile range (IQR)9.9996971 × 1010

Descriptive statistics

Standard deviation5.882986 × 1010
Coefficient of variation (CV)0.0029224187
Kurtosis-1.1823952
Mean2.0130538 × 1013
Median Absolute Deviation (MAD)5.0281543 × 1010
Skewness-0.23172388
Sum5.1131566 × 1015
Variance3.4609525 × 1021
MonotonicityNot monotonic
2024-04-22T01:22:29.988944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20051206173811 1
 
0.4%
20190702145711 1
 
0.4%
20090717085815 1
 
0.4%
20200516184858 1
 
0.4%
20220105110449 1
 
0.4%
20150401150304 1
 
0.4%
20190308101807 1
 
0.4%
20210527102418 1
 
0.4%
20161107104901 1
 
0.4%
20200516184748 1
 
0.4%
Other values (244) 244
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 (%)
20220525114921 1
0.4%
20220510091321 1
0.4%
20220411154314 1
0.4%
20220323132148 1
0.4%
20220302124151 1
0.4%
20220207180019 1
0.4%
20220126102359 1
0.4%
20220105110449 1
0.4%
20211213131630 1
0.4%
20211206143523 1
0.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I
190 
U
64 

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 190
74.8%
U 64
 
25.2%

Length

2024-04-22T01:22:30.406919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:30.705114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 190
74.8%
u 64
 
25.2%

데이터갱신일자
Date

Distinct68
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-05-27 02:40:00
2024-04-22T01:22:31.026400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T01:22:31.458766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct197
Distinct (%)79.4%
Missing6
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean342909.77
Minimum330376.07
Maximum354441.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T01:22:31.868476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330376.07
5-th percentile335960.55
Q1340372.51
median341995.4
Q3346184.85
95-th percentile348644.42
Maximum354441.6
Range24065.534
Interquartile range (IQR)5812.333

Descriptive statistics

Standard deviation4095.4108
Coefficient of variation (CV)0.011943115
Kurtosis0.58439229
Mean342909.77
Median Absolute Deviation (MAD)2372.1947
Skewness0.31416814
Sum85041622
Variance16772390
MonotonicityNot monotonic
2024-04-22T01:22:32.307607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341918.332239 5
 
2.0%
341807.54889 5
 
2.0%
335921.019181 4
 
1.6%
339638.747277 3
 
1.2%
340582.811048 3
 
1.2%
348644.422813 3
 
1.2%
338749.058512 3
 
1.2%
346892.94262 3
 
1.2%
335892.02727 2
 
0.8%
340438.345185 2
 
0.8%
Other values (187) 215
84.6%
(Missing) 6
 
2.4%
ValueCountFrequency (%)
330376.065263 2
0.8%
334549.53699 1
 
0.4%
335841.114248 1
 
0.4%
335892.02727 2
0.8%
335904.626595 1
 
0.4%
335921.019181 4
1.6%
335952.866799 2
0.8%
335974.805126 1
 
0.4%
335976.252488 1
 
0.4%
336506.557873 1
 
0.4%
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 

Distinct197
Distinct (%)79.4%
Missing6
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean263772.69
Minimum245171.87
Maximum277798.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T01:22:32.918989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245171.87
5-th percentile258258.82
Q1262186.94
median264312.6
Q3265563.85
95-th percentile267190.01
Maximum277798.82
Range32626.953
Interquartile range (IQR)3376.9098

Descriptive statistics

Standard deviation3299.6247
Coefficient of variation (CV)0.012509349
Kurtosis8.4414244
Mean263772.69
Median Absolute Deviation (MAD)1816.8733
Skewness-1.0294302
Sum65415626
Variance10887523
MonotonicityNot monotonic
2024-04-22T01:22:33.357099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263704.826465 5
 
2.0%
262118.118471 5
 
2.0%
262555.588663 4
 
1.6%
258034.934254 3
 
1.2%
263619.823876 3
 
1.2%
266825.726402 3
 
1.2%
261141.544146 3
 
1.2%
264716.870171 3
 
1.2%
262492.110883 2
 
0.8%
260414.132406 2
 
0.8%
Other values (187) 215
84.6%
(Missing) 6
 
2.4%
ValueCountFrequency (%)
245171.86909 2
0.8%
257414.7363 1
 
0.4%
258011.690841 1
 
0.4%
258034.934254 3
1.2%
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%
272615.545288 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%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
무도학원업
254 

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 254
100.0%

Length

2024-04-22T01:22:33.771748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:34.066106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 254
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
사립
254 

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 254
100.0%

Length

2024-04-22T01:22:34.368845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:34.659181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 254
100.0%

보험가입여부코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
104 
<NA>
86 
Y
52 
1
12 

Length

Max length4
Median length1
Mean length2.015748
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 104
40.9%
<NA> 86
33.9%
Y 52
20.5%
1 12
 
4.7%

Length

2024-04-22T01:22:35.003327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:35.345803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 104
40.9%
na 86
33.9%
y 52
20.5%
1 12
 
4.7%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
244 
0
 
9
1
 
1

Length

Max length4
Median length4
Mean length3.8818898
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> 244
96.1%
0 9
 
3.5%
1 1
 
0.4%

Length

2024-04-22T01:22:35.717015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:36.039875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 244
96.1%
0 9
 
3.5%
1 1
 
0.4%

건축물동수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
229 
1
 
15
0
 
9
2
 
1

Length

Max length4
Median length4
Mean length3.7047244
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> 229
90.2%
1 15
 
5.9%
0 9
 
3.5%
2 1
 
0.4%

Length

2024-04-22T01:22:36.382334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:36.708197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
90.2%
1 15
 
5.9%
0 9
 
3.5%
2 1
 
0.4%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct77
Distinct (%)88.5%
Missing167
Missing (%)65.7%
Infinite0
Infinite (%)0.0%
Mean599.05954
Minimum0
Maximum8593.94
Zeros8
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T01:22:37.054557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q181.39
median172.86
Q3664.36
95-th percentile1797.595
Maximum8593.94
Range8593.94
Interquartile range (IQR)582.97

Descriptive statistics

Standard deviation1218.3861
Coefficient of variation (CV)2.0338314
Kurtosis27.060437
Mean599.05954
Median Absolute Deviation (MAD)106.86
Skewness4.8084465
Sum52118.18
Variance1484464.7
MonotonicityNot monotonic
2024-04-22T01:22:37.465166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
3.1%
457.58 2
 
0.8%
1649.9 2
 
0.8%
413.22 2
 
0.8%
105.27 1
 
0.4%
264.61 1
 
0.4%
344.34 1
 
0.4%
153.6 1
 
0.4%
72.98 1
 
0.4%
239.92 1
 
0.4%
Other values (67) 67
26.4%
(Missing) 167
65.7%
ValueCountFrequency (%)
0.0 8
3.1%
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

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
245 
0
 
9

Length

Max length4
Median length4
Mean length3.8937008
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> 245
96.5%
0 9
 
3.5%

Length

2024-04-22T01:22:37.882015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:22:38.192687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 245
96.5%
0 9
 
3.5%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
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>
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_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>
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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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