Overview

Dataset statistics

Number of variables37
Number of observations247
Missing cells2250
Missing cells (%)24.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory77.1 KiB
Average record size in memory319.5 B

Variable types

Numeric10
Categorical14
Text5
Unsupported7
DateTime1

Dataset

Description6270000_대구광역시_10_33_02_P_무도학원업_2월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000088429&dataSetDetailId=DDI_0000088498&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 (95.2%)Imbalance
휴업종료일자 is highly imbalanced (95.2%)Imbalance
지도자수 is highly imbalanced (96.2%)Imbalance
건축물동수 is highly imbalanced (76.8%)Imbalance
인허가취소일자 has 247 (100.0%) missing valuesMissing
폐업일자 has 78 (31.6%) missing valuesMissing
재개업일자 has 247 (100.0%) missing valuesMissing
소재지전화 has 49 (19.8%) missing valuesMissing
소재지면적 has 247 (100.0%) missing valuesMissing
소재지우편번호 has 26 (10.5%) missing valuesMissing
도로명전체주소 has 13 (5.3%) missing valuesMissing
도로명우편번호 has 174 (70.4%) missing valuesMissing
업태구분명 has 247 (100.0%) missing valuesMissing
좌표정보(X) has 6 (2.4%) missing valuesMissing
좌표정보(Y) has 6 (2.4%) missing valuesMissing
건축물연면적 has 168 (68.0%) missing valuesMissing
회원모집총인원 has 247 (100.0%) missing valuesMissing
세부업종명 has 247 (100.0%) missing valuesMissing
법인명 has 247 (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 18:00:53.316344
Analysis finished2023-12-10 18:00:54.351449
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct247
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124
Minimum1
Maximum247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T03:00:54.513494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.3
Q162.5
median124
Q3185.5
95-th percentile234.7
Maximum247
Range246
Interquartile range (IQR)123

Descriptive statistics

Standard deviation71.44695
Coefficient of variation (CV)0.57618508
Kurtosis-1.2
Mean124
Median Absolute Deviation (MAD)62
Skewness0
Sum30628
Variance5104.6667
MonotonicityStrictly increasing
2023-12-11T03:00:54.800707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
171 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%
164 1
 
0.4%
165 1
 
0.4%
Other values (237) 237
96.0%
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 (%)
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
무도학원업
247 

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 247
100.0%

Length

2023-12-11T03:00:55.193740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:55.374120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 247
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
10_33_02_P
247 

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 247
100.0%

Length

2023-12-11T03:00:55.540899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:55.716268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_33_02_p 247
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3440971.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T03:00:55.891628image/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 deviation21162.054
Coefficient of variation (CV)0.0061500227
Kurtosis-1.4149063
Mean3440971.7
Median Absolute Deviation (MAD)20000
Skewness0.22687321
Sum8.4992 × 108
Variance4.4783253 × 108
MonotonicityIncreasing
2023-12-11T03:00:56.291809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 63
25.5%
3420000 59
23.9%
3430000 44
17.8%
3450000 30
12.1%
3440000 21
 
8.5%
3410000 19
 
7.7%
3460000 10
 
4.0%
3480000 1
 
0.4%
ValueCountFrequency (%)
3410000 19
 
7.7%
3420000 59
23.9%
3430000 44
17.8%
3440000 21
 
8.5%
3450000 30
12.1%
3460000 10
 
4.0%
3470000 63
25.5%
3480000 1
 
0.4%
ValueCountFrequency (%)
3480000 1
 
0.4%
3470000 63
25.5%
3460000 10
 
4.0%
3450000 30
12.1%
3440000 21
 
8.5%
3430000 44
17.8%
3420000 59
23.9%
3410000 19
 
7.7%

관리번호
Text

Distinct111
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T03:00:56.907967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4940
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 (%)16.2%

Sample

1st rowCDFH3301112006000001
2nd rowCDFH3301111996000001
3rd rowCDFH3301111992000002
4th rowCDFH3301112011000001
5th rowCDFH3301112003000002
ValueCountFrequency (%)
cdfh3301111999000002 7
 
2.8%
cdfh3301112002000001 6
 
2.4%
cdfh3301111999000003 6
 
2.4%
cdfh3301111999000001 6
 
2.4%
cdfh3301111992000001 5
 
2.0%
cdfh3301112000000001 5
 
2.0%
cdfh3301111996000001 5
 
2.0%
cdfh3301112003000001 5
 
2.0%
cdfh3301112002000002 5
 
2.0%
cdfh3301112014000001 4
 
1.6%
Other values (101) 193
78.1%
2023-12-11T03:00:57.661025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1766
35.7%
1 1004
20.3%
3 546
 
11.1%
2 263
 
5.3%
C 247
 
5.0%
D 247
 
5.0%
F 247
 
5.0%
H 247
 
5.0%
9 233
 
4.7%
6 33
 
0.7%
Other values (4) 107
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3952
80.0%
Uppercase Letter 988
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1766
44.7%
1 1004
25.4%
3 546
 
13.8%
2 263
 
6.7%
9 233
 
5.9%
6 33
 
0.8%
8 32
 
0.8%
7 29
 
0.7%
4 28
 
0.7%
5 18
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 247
25.0%
D 247
25.0%
F 247
25.0%
H 247
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3952
80.0%
Latin 988
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1766
44.7%
1 1004
25.4%
3 546
 
13.8%
2 263
 
6.7%
9 233
 
5.9%
6 33
 
0.8%
8 32
 
0.8%
7 29
 
0.7%
4 28
 
0.7%
5 18
 
0.5%
Latin
ValueCountFrequency (%)
C 247
25.0%
D 247
25.0%
F 247
25.0%
H 247
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1766
35.7%
1 1004
20.3%
3 546
 
11.1%
2 263
 
5.3%
C 247
 
5.0%
D 247
 
5.0%
F 247
 
5.0%
H 247
 
5.0%
9 233
 
4.7%
6 33
 
0.7%
Other values (4) 107
 
2.2%

인허가일자
Real number (ℝ)

Distinct238
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20024325
Minimum19910826
Maximum20201215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T03:00:58.033384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910826
5-th percentile19920856
Q119981208
median20011101
Q320040980
95-th percentile20170192
Maximum20201215
Range290389
Interquartile range (IQR)59771.5

Descriptive statistics

Standard deviation67907.451
Coefficient of variation (CV)0.0033912479
Kurtosis0.32519706
Mean20024325
Median Absolute Deviation (MAD)29893
Skewness0.85208115
Sum4.9460083 × 109
Variance4.6114219 × 109
MonotonicityNot monotonic
2023-12-11T03:00:58.453837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990917 4
 
1.6%
19981208 2
 
0.8%
20010214 2
 
0.8%
20020711 2
 
0.8%
20201215 2
 
0.8%
19990304 2
 
0.8%
20030410 2
 
0.8%
19911012 1
 
0.4%
20160920 1
 
0.4%
20160121 1
 
0.4%
Other values (228) 228
92.3%
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 (%)
20201215 2
0.8%
20201210 1
0.4%
20200604 1
0.4%
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%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3
163 
1
75 
4
 
7
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row4
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 163
66.0%
1 75
30.4%
4 7
 
2.8%
2 2
 
0.8%

Length

2023-12-11T03:00:58.794364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:58.986807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 163
66.0%
1 75
30.4%
4 7
 
2.8%
2 2
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
163 
영업/정상
75 
취소/말소/만료/정지/중지
 
7
휴업
 
2

Length

Max length14
Median length2
Mean length3.2510121
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 163
66.0%
영업/정상 75
30.4%
취소/말소/만료/정지/중지 7
 
2.8%
휴업 2
 
0.8%

Length

2023-12-11T03:00:59.254900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:59.464348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 163
66.0%
영업/정상 75
30.4%
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
163 
13
75 
35
 
7
2
 
2

Length

Max length2
Median length1
Mean length1.3319838
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row13
3rd row35
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 163
66.0%
13 75
30.4%
35 7
 
2.8%
2 2
 
0.8%

Length

2023-12-11T03:00:59.711690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:59.910527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 163
66.0%
13 75
30.4%
35 7
 
2.8%
2 2
 
0.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
163 
영업중
75 
직권말소
 
7
휴업
 
2

Length

Max length4
Median length2
Mean length2.3603239
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 163
66.0%
영업중 75
30.4%
직권말소 7
 
2.8%
휴업 2
 
0.8%

Length

2023-12-11T03:01:00.130576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:01:00.527846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 163
66.0%
영업중 75
30.4%
직권말소 7
 
2.8%
휴업 2
 
0.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct157
Distinct (%)92.9%
Missing78
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean20104583
Minimum20010611
Maximum20210224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T03:01:01.240128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010611
5-th percentile20030355
Q120060316
median20100901
Q320150324
95-th percentile20190982
Maximum20210224
Range199613
Interquartile range (IQR)90008

Descriptive statistics

Standard deviation53995.306
Coefficient of variation (CV)0.0026857213
Kurtosis-1.1903858
Mean20104583
Median Absolute Deviation (MAD)49207
Skewness0.18118592
Sum3.3976744 × 109
Variance2.9154931 × 109
MonotonicityNot monotonic
2023-12-11T03:01:01.669746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120905 3
 
1.2%
20150324 2
 
0.8%
20030516 2
 
0.8%
20061101 2
 
0.8%
20061031 2
 
0.8%
20060302 2
 
0.8%
20151014 2
 
0.8%
20080331 2
 
0.8%
20181101 2
 
0.8%
20160610 2
 
0.8%
Other values (147) 148
59.9%
(Missing) 78
31.6%
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 (%)
20210224 1
0.4%
20200904 1
0.4%
20200818 1
0.4%
20200731 1
0.4%
20200701 1
0.4%
20200324 1
0.4%
20191227 1
0.4%
20191128 1
0.4%
20191031 1
0.4%
20190909 1
0.4%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
245 
20031201
 
1
20200201
 
1

Length

Max length8
Median length4
Mean length4.0323887
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> 245
99.2%
20031201 1
 
0.4%
20200201 1
 
0.4%

Length

2023-12-11T03:01:02.066381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:01:02.444107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 245
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>
245 
20041201
 
1
20200831
 
1

Length

Max length8
Median length4
Mean length4.0323887
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> 245
99.2%
20041201 1
 
0.4%
20200831 1
 
0.4%

Length

2023-12-11T03:01:02.768062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:01:03.000386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 245
99.2%
20041201 1
 
0.4%
20200831 1
 
0.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

소재지전화
Text

MISSING 

Distinct187
Distinct (%)94.4%
Missing49
Missing (%)19.8%
Memory size2.1 KiB
2023-12-11T03:01:03.421695image/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 row561-4532
2nd row255-6075
3rd row255-7540
4th row423-3234
5th row255-6075
ValueCountFrequency (%)
053-522-4544 3
 
1.5%
053-583-4991 2
 
1.0%
255-6075 2
 
1.0%
053-624-0536 2
 
1.0%
767-6228 2
 
1.0%
053-629-1999 2
 
1.0%
053-756-2333 2
 
1.0%
053-651-4849 2
 
1.0%
053-656-6886 2
 
1.0%
953-1690 2
 
1.0%
Other values (177) 177
89.4%
2023-12-11T03:01:04.059024image/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 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)47.5%
Missing26
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean703441.91
Minimum700020
Maximum711872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T03:01:04.342850image/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
2023-12-11T03:01:04.621053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701816 9
 
3.6%
704940 7
 
2.8%
701827 7
 
2.8%
703802 7
 
2.8%
701808 6
 
2.4%
704834 5
 
2.0%
703814 5
 
2.0%
703806 5
 
2.0%
704816 5
 
2.0%
704915 5
 
2.0%
Other values (95) 160
64.8%
(Missing) 26
 
10.5%
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

Distinct220
Distinct (%)89.4%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2023-12-11T03:01:05.237059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length23.060976
Min length18

Characters and Unicode

Total characters5673
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

Unique197 ?
Unique (%)80.1%

Sample

1st row대구광역시 중구 동인동2가 61-10번지
2nd row대구광역시 중구 대봉동 20-5번지
3rd row대구광역시 중구 달성동 116-14번지
4th row대구광역시 중구 시장북로 26-1번지
5th row대구광역시 중구 향촌동 28-3번지
ValueCountFrequency (%)
대구광역시 246
22.9%
달서구 63
 
5.9%
동구 59
 
5.5%
서구 43
 
4.0%
북구 30
 
2.8%
3층 24
 
2.2%
남구 21
 
2.0%
2층 20
 
1.9%
중구 19
 
1.8%
신천동 18
 
1.7%
Other values (282) 531
49.4%
2023-12-11T03:01:06.078993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1074
18.9%
구 491
 
8.7%
동 307
 
5.4%
대 273
 
4.8%
지 261
 
4.6%
시 249
 
4.4%
광 246
 
4.3%
역 246
 
4.3%
- 234
 
4.1%
번 234
 
4.1%
Other values (86) 2058
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3162
55.7%
Decimal Number 1194
 
21.0%
Space Separator 1074
 
18.9%
Dash Punctuation 234
 
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 491
15.5%
동 307
9.7%
대 273
8.6%
지 261
 
8.3%
시 249
 
7.9%
광 246
 
7.8%
역 246
 
7.8%
번 234
 
7.4%
서 106
 
3.4%
층 77
 
2.4%
Other values (71) 672
21.3%
Decimal Number
ValueCountFrequency (%)
1 216
18.1%
2 213
17.8%
3 172
14.4%
4 132
11.1%
5 102
8.5%
0 84
 
7.0%
7 72
 
6.0%
6 70
 
5.9%
9 69
 
5.8%
8 64
 
5.4%
Space Separator
ValueCountFrequency (%)
1074
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 234
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 3162
55.7%
Common 2511
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 491
15.5%
동 307
9.7%
대 273
8.6%
지 261
 
8.3%
시 249
 
7.9%
광 246
 
7.8%
역 246
 
7.8%
번 234
 
7.4%
서 106
 
3.4%
층 77
 
2.4%
Other values (71) 672
21.3%
Common
ValueCountFrequency (%)
1074
42.8%
- 234
 
9.3%
1 216
 
8.6%
2 213
 
8.5%
3 172
 
6.8%
4 132
 
5.3%
5 102
 
4.1%
0 84
 
3.3%
7 72
 
2.9%
6 70
 
2.8%
Other values (5) 142
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3162
55.7%
ASCII 2511
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1074
42.8%
- 234
 
9.3%
1 216
 
8.6%
2 213
 
8.5%
3 172
 
6.8%
4 132
 
5.3%
5 102
 
4.1%
0 84
 
3.3%
7 72
 
2.9%
6 70
 
2.8%
Other values (5) 142
 
5.7%
Hangul
ValueCountFrequency (%)
구 491
15.5%
동 307
9.7%
대 273
8.6%
지 261
 
8.3%
시 249
 
7.9%
광 246
 
7.8%
역 246
 
7.8%
번 234
 
7.4%
서 106
 
3.4%
층 77
 
2.4%
Other values (71) 672
21.3%

도로명전체주소
Text

MISSING 

Distinct220
Distinct (%)94.0%
Missing13
Missing (%)5.3%
Memory size2.1 KiB
2023-12-11T03:01:06.713035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length25.564103
Min length21

Characters and Unicode

Total characters5982
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

Unique206 ?
Unique (%)88.0%

Sample

1st row대구광역시 중구 경상감영길 298-5 (동인동2가)
2nd row대구광역시 중구 동덕로 68 (대봉동)
3rd row대구광역시 중구 달성로 72-13 (시장북로)
4th row대구광역시 중구 경상감영1길 56 (향촌동)
5th row대구광역시 중구 국채보상로 452 (대신동)
ValueCountFrequency (%)
대구광역시 234
 
19.5%
달서구 61
 
5.1%
동구 59
 
4.9%
서구 44
 
3.7%
북구 30
 
2.5%
남구 21
 
1.8%
비산동 16
 
1.3%
달서로 16
 
1.3%
내당동 15
 
1.3%
성당로 14
 
1.2%
Other values (351) 689
57.5%
2023-12-11T03:01:07.433891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1092
18.3%
구 508
 
8.5%
동 335
 
5.6%
대 307
 
5.1%
시 238
 
4.0%
) 235
 
3.9%
( 235
 
3.9%
역 234
 
3.9%
로 234
 
3.9%
광 234
 
3.9%
Other values (117) 2330
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3449
57.7%
Space Separator 1092
 
18.3%
Decimal Number 841
 
14.1%
Close Punctuation 235
 
3.9%
Open Punctuation 235
 
3.9%
Other Punctuation 93
 
1.6%
Dash Punctuation 36
 
0.6%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 508
14.7%
동 335
 
9.7%
대 307
 
8.9%
시 238
 
6.9%
역 234
 
6.8%
로 234
 
6.8%
광 234
 
6.8%
서 143
 
4.1%
달 103
 
3.0%
층 83
 
2.4%
Other values (101) 1030
29.9%
Decimal Number
ValueCountFrequency (%)
1 170
20.2%
2 157
18.7%
3 107
12.7%
5 90
10.7%
4 79
9.4%
6 59
 
7.0%
8 53
 
6.3%
7 44
 
5.2%
0 43
 
5.1%
9 39
 
4.6%
Space Separator
ValueCountFrequency (%)
1092
100.0%
Close Punctuation
ValueCountFrequency (%)
) 235
100.0%
Open Punctuation
ValueCountFrequency (%)
( 235
100.0%
Other Punctuation
ValueCountFrequency (%)
, 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3449
57.7%
Common 2532
42.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 508
14.7%
동 335
 
9.7%
대 307
 
8.9%
시 238
 
6.9%
역 234
 
6.8%
로 234
 
6.8%
광 234
 
6.8%
서 143
 
4.1%
달 103
 
3.0%
층 83
 
2.4%
Other values (101) 1030
29.9%
Common
ValueCountFrequency (%)
1092
43.1%
) 235
 
9.3%
( 235
 
9.3%
1 170
 
6.7%
2 157
 
6.2%
3 107
 
4.2%
, 93
 
3.7%
5 90
 
3.6%
4 79
 
3.1%
6 59
 
2.3%
Other values (5) 215
 
8.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3449
57.7%
ASCII 2533
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1092
43.1%
) 235
 
9.3%
( 235
 
9.3%
1 170
 
6.7%
2 157
 
6.2%
3 107
 
4.2%
, 93
 
3.7%
5 90
 
3.6%
4 79
 
3.1%
6 59
 
2.3%
Other values (6) 216
 
8.5%
Hangul
ValueCountFrequency (%)
구 508
14.7%
동 335
 
9.7%
대 307
 
8.9%
시 238
 
6.9%
역 234
 
6.8%
로 234
 
6.8%
광 234
 
6.8%
서 143
 
4.1%
달 103
 
3.0%
층 83
 
2.4%
Other values (101) 1030
29.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)75.3%
Missing174
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean196038.53
Minimum41142
Maximum706839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T03:01:07.695020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41142
5-th percentile41241.4
Q141560
median42132
Q342801
95-th percentile704940
Maximum706839
Range665697
Interquartile range (IQR)1241

Descriptive statistics

Standard deviation281644.75
Coefficient of variation (CV)1.4366806
Kurtosis-0.34423652
Mean196038.53
Median Absolute Deviation (MAD)574
Skewness1.2906942
Sum14310813
Variance7.9323765 × 1010
MonotonicityNot monotonic
2023-12-11T03:01:07.930657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42612 5
 
2.0%
41812 3
 
1.2%
41557 3
 
1.2%
41560 3
 
1.2%
41564 2
 
0.8%
41921 2
 
0.8%
704940 2
 
0.8%
41251 2
 
0.8%
42693 2
 
0.8%
42132 2
 
0.8%
Other values (45) 47
 
19.0%
(Missing) 174
70.4%
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

Distinct214
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T03:01:08.337464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.5910931
Min length2

Characters and Unicode

Total characters1628
Distinct characters188
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 (%)76.9%

Sample

1st row핑크랑무도학원
2nd row산이무도학원
3rd row태평 댄스 스포츠
4th row동경무도학원
5th row은빈무도학원
ValueCountFrequency (%)
무도학원 13
 
4.7%
강혜란무도학원 5
 
1.8%
현대무도학원 4
 
1.5%
성당무도학원 3
 
1.1%
한일무도학원 3
 
1.1%
침산무도학원 3
 
1.1%
명성무도학원 3
 
1.1%
반고개무도학원 3
 
1.1%
댄스스포츠 3
 
1.1%
성림무도학원 2
 
0.7%
Other values (213) 232
84.7%
2023-12-11T03:01:08.962945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 194
 
11.9%
학 185
 
11.4%
도 183
 
11.2%
무 178
 
10.9%
스 124
 
7.6%
댄 59
 
3.6%
츠 51
 
3.1%
포 51
 
3.1%
27
 
1.7%
동 20
 
1.2%
Other values (178) 556
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1579
97.0%
Space Separator 27
 
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 194
 
12.3%
학 185
 
11.7%
도 183
 
11.6%
무 178
 
11.3%
스 124
 
7.9%
댄 59
 
3.7%
츠 51
 
3.2%
포 51
 
3.2%
동 20
 
1.3%
성 19
 
1.2%
Other values (166) 515
32.6%
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 (%)
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 1579
97.0%
Common 36
 
2.2%
Latin 13
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 194
 
12.3%
학 185
 
11.7%
도 183
 
11.6%
무 178
 
11.3%
스 124
 
7.9%
댄 59
 
3.7%
츠 51
 
3.2%
포 51
 
3.2%
동 20
 
1.3%
성 19
 
1.2%
Other values (166) 515
32.6%
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 (%)
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 1579
97.0%
ASCII 49
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 194
 
12.3%
학 185
 
11.7%
도 183
 
11.6%
무 178
 
11.3%
스 124
 
7.9%
댄 59
 
3.7%
츠 51
 
3.2%
포 51
 
3.2%
동 20
 
1.3%
성 19
 
1.2%
Other values (166) 515
32.6%
ASCII
ValueCountFrequency (%)
27
55.1%
J 4
 
8.2%
K 4
 
8.2%
S 3
 
6.1%
2 3
 
6.1%
& 2
 
4.1%
5 1
 
2.0%
Y 1
 
2.0%
1 1
 
2.0%
) 1
 
2.0%
Other values (2) 2
 
4.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct247
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0126277 × 1013
Minimum2.0030115 × 1013
Maximum2.0210224 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T03:01:09.205299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030115 × 1013
5-th percentile2.0030526 × 1013
Q12.0081125 × 1013
median2.0140127 × 1013
Q32.0180568 × 1013
95-th percentile2.0200672 × 1013
Maximum2.0210224 × 1013
Range1.8010901 × 1011
Interquartile range (IQR)9.9443462 × 1010

Descriptive statistics

Standard deviation5.5755828 × 1010
Coefficient of variation (CV)0.0027703001
Kurtosis-1.1964726
Mean2.0126277 × 1013
Median Absolute Deviation (MAD)4.9512019 × 1010
Skewness-0.28848584
Sum4.9711904 × 1015
Variance3.1087123 × 1021
MonotonicityNot monotonic
2023-12-11T03:01:09.400230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111030143525 1
 
0.4%
20190308101807 1
 
0.4%
20110315144704 1
 
0.4%
20060622092702 1
 
0.4%
20040830131113 1
 
0.4%
20200412122314 1
 
0.4%
20190702145711 1
 
0.4%
20140422092413 1
 
0.4%
20151202144745 1
 
0.4%
20200203131211 1
 
0.4%
Other values (237) 237
96.0%
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 (%)
20210224181216 1
0.4%
20210223143846 1
0.4%
20210214153143 1
0.4%
20210210155744 1
0.4%
20201223091154 1
0.4%
20201215174355 1
0.4%
20201215173845 1
0.4%
20201210131349 1
0.4%
20200904170748 1
0.4%
20200818093111 1
0.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I
194 
U
53 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 194
78.5%
U 53
 
21.5%

Length

2023-12-11T03:01:09.593333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:01:09.734621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 194
78.5%
u 53
 
21.5%

데이터갱신일자
Date

Distinct55
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-26 02:40:00
2023-12-11T03:01:09.890489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:01:10.088340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct194
Distinct (%)80.5%
Missing6
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean343019.44
Minimum330376.07
Maximum354441.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T03:01:10.285711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330376.07
5-th percentile335976.25
Q1340382.64
median342066.69
Q3346314.91
95-th percentile348644.42
Maximum354441.6
Range24065.534
Interquartile range (IQR)5932.2729

Descriptive statistics

Standard deviation4038.6795
Coefficient of variation (CV)0.011773909
Kurtosis0.41893926
Mean343019.44
Median Absolute Deviation (MAD)2437.602
Skewness0.40569686
Sum82667685
Variance16310932
MonotonicityNot monotonic
2023-12-11T03:01:10.457628image/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%
346892.94262 3
 
1.2%
340582.811048 3
 
1.2%
338749.058512 3
 
1.2%
348644.422813 3
 
1.2%
341294.760158 2
 
0.8%
354031.721906 2
 
0.8%
345301.319351 2
 
0.8%
Other values (184) 209
84.6%
(Missing) 6
 
2.4%
ValueCountFrequency (%)
330376.065263 1
 
0.4%
334549.53699 1
 
0.4%
335841.114248 1
 
0.4%
335892.02727 2
0.8%
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%
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 

Distinct194
Distinct (%)80.5%
Missing6
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean263843.02
Minimum245171.87
Maximum277798.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T03:01:10.666289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245171.87
5-th percentile258529.7
Q1262199.29
median264341.14
Q3265626.67
95-th percentile267185.16
Maximum277798.82
Range32626.953
Interquartile range (IQR)3427.3767

Descriptive statistics

Standard deviation3043.0262
Coefficient of variation (CV)0.011533472
Kurtosis7.0269254
Mean263843.02
Median Absolute Deviation (MAD)1785.5486
Skewness-0.53504841
Sum63586168
Variance9260008.5
MonotonicityNot monotonic
2023-12-11T03:01:10.976852image/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%
264716.870171 3
 
1.2%
263619.823876 3
 
1.2%
261141.544146 3
 
1.2%
266825.726402 3
 
1.2%
266597.905554 2
 
0.8%
264940.682575 2
 
0.8%
265451.525374 2
 
0.8%
Other values (184) 209
84.6%
(Missing) 6
 
2.4%
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 size2.1 KiB
무도학원업
247 

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 247
100.0%

Length

2023-12-11T03:01:11.157308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:01:11.284279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 247
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
사립
247 

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 247
100.0%

Length

2023-12-11T03:01:11.420592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:01:11.564081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 247
100.0%

보험가입여부코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
104 
<NA>
81 
Y
50 
1
12 

Length

Max length4
Median length1
Mean length1.9838057
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 104
42.1%
<NA> 81
32.8%
Y 50
20.2%
1 12
 
4.9%

Length

2023-12-11T03:01:11.750431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:01:11.955108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 104
42.1%
na 81
32.8%
y 50
20.2%
1 12
 
4.9%

지도자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
246 
1
 
1

Length

Max length4
Median length4
Mean length3.9878543
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> 246
99.6%
1 1
 
0.4%

Length

2023-12-11T03:01:12.136133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:01:12.288358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 246
99.6%
1 1
 
0.4%

건축물동수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
231 
1
 
15
2
 
1

Length

Max length4
Median length4
Mean length3.805668
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> 231
93.5%
1 15
 
6.1%
2 1
 
0.4%

Length

2023-12-11T03:01:12.446928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:01:12.604780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 231
93.5%
1 15
 
6.1%
2 1
 
0.4%

건축물연면적
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)96.2%
Missing168
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean648.44304
Minimum0
Maximum8593.94
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T03:01:12.792728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile67.292
Q191.94
median194.1
Q3707.875
95-th percentile1860.9
Maximum8593.94
Range8593.94
Interquartile range (IQR)615.935

Descriptive statistics

Standard deviation1265.2853
Coefficient of variation (CV)1.9512668
Kurtosis24.908191
Mean648.44304
Median Absolute Deviation (MAD)126.1
Skewness4.634395
Sum51227
Variance1600947
MonotonicityNot monotonic
2023-12-11T03:01:13.399492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1649.9 2
 
0.8%
457.58 2
 
0.8%
413.22 2
 
0.8%
79.35 1
 
0.4%
178.88 1
 
0.4%
135.67 1
 
0.4%
139.32 1
 
0.4%
239.92 1
 
0.4%
110.87 1
 
0.4%
2328.45 1
 
0.4%
Other values (66) 66
 
26.7%
(Missing) 168
68.0%
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%
1595.7 1
0.4%
1524.0 1
0.4%
1368.72 1
0.4%

회원모집총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing247
Missing (%)100.0%
Memory size2.3 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01무도학원업10_33_02_P3410000CDFH330111200600000120060614<NA>4취소/말소/만료/정지/중지35직권말소20090618<NA><NA><NA><NA><NA>700422대구광역시 중구 동인동2가 61-10번지대구광역시 중구 경상감영길 298-5 (동인동2가)700422핑크랑무도학원20111030143525I2018-08-31 23:59:59.0<NA>344747.271987264541.830989무도학원업사립<NA><NA><NA>139.92<NA><NA><NA>
12무도학원업10_33_02_P3410000CDFH330111199600000119961022<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 20-5번지대구광역시 중구 동덕로 68 (대봉동)41952산이무도학원20181017152036U2018-10-19 02:37:43.0<NA>344816.160106263489.007601무도학원업사립Y<NA><NA><NA><NA><NA><NA>
23무도학원업10_33_02_P3410000CDFH330111199200000219920529<NA>4취소/말소/만료/정지/중지35직권말소20091012<NA><NA><NA>561-4532<NA>700380대구광역시 중구 달성동 116-14번지<NA><NA>태평 댄스 스포츠20100723130610I2018-08-31 23:59:59.0<NA>342667.799519265349.526877무도학원업사립<NA><NA><NA>69.6<NA><NA><NA>
34무도학원업10_33_02_P3410000CDFH330111201100000120110622<NA>3폐업3폐업20180227<NA><NA><NA>255-6075<NA>700290대구광역시 중구 시장북로 26-1번지대구광역시 중구 달성로 72-13 (시장북로)41921동경무도학원20180227172027I2018-08-31 23:59:59.0<NA>342897.130045264638.387292무도학원업사립Y<NA><NA>309.18<NA><NA><NA>
45무도학원업10_33_02_P3410000CDFH330111200300000220030410<NA>3폐업3폐업20180903<NA><NA><NA>255-7540<NA>700020대구광역시 중구 향촌동 28-3번지대구광역시 중구 경상감영1길 56 (향촌동)41918은빈무도학원20180903162846U2018-09-03 23:59:59.0<NA>343784.290074264866.239375무도학원업사립Y<NA><NA><NA><NA><NA><NA>
56무도학원업10_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>
67무도학원업10_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>
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_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>
910무도학원업10_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>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
237238무도학원업10_33_02_P3470000CDFH330111200300000420030319<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>704940대구광역시 달서구 이곡동 1224-7 4층대구광역시 달서구 달구벌대로251안길 25 (이곡동)704940강남 무도학원20201223091154U2020-12-25 02:40:00.0<NA>335952.866799262492.107105무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
238239무도학원업10_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>
239240무도학원업10_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>
240241무도학원업10_33_02_P3470000CDFH330111200500000120050520<NA>1영업/정상13영업중<NA><NA><NA><NA>053-656-6886<NA>704915대구광역시 달서구 성당동 54-29번지대구광역시 달서구 성당로 197 (성당동)<NA>쌍쌍무도학원20171204085658I2018-08-31 23:59:59.0<NA>341950.739006262303.118444무도학원업사립Y<NA><NA><NA><NA><NA><NA>
241242무도학원업10_33_02_P3470000CDFH330111200000000820000307<NA>1영업/정상13영업중<NA><NA><NA><NA>053-639-6794<NA>704816대구광역시 달서구 상인동 1553-8번지대구광역시 달서구 상인서로 18-18 (상인동)<NA>우림 무도학원20170110105646I2018-08-31 23:59:59.0<NA>339782.671727258039.238987무도학원업사립0<NA><NA><NA><NA><NA><NA>
242243무도학원업10_33_02_P3470000CDFH330111200200001020020817<NA>1영업/정상13영업중<NA><NA><NA><NA>053-634-2880<NA>704834대구광역시 달서구 진천동 545-6번지 2층대구광역시 달서구 월배로23길 24 (진천동,2층)<NA>팔도무도학원20100630103434I2018-08-31 23:59:59.0<NA>337877.968558258364.786695무도학원업사립0<NA><NA>89.9<NA><NA><NA>
243244무도학원업10_33_02_P3470000CDFH330111200200000420020503<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>704803대구광역시 달서구 도원동 1436-5번지대구광역시 달서구 한실로 91 (도원동)704803강혜란무도학원20140509162015I2018-08-31 23:59:59.0<NA>338840.703728257414.7363무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
244245무도학원업10_33_02_P3470000CDFH330111200000000720000907<NA>1영업/정상13영업중<NA><NA><NA><NA>053-624-0536<NA>704909대구광역시 달서구 두류동 147-4번지대구광역시 달서구 두류공원로 246 (두류동)<NA>백두산댄스20191112112616U2019-11-14 02:40:00.0<NA>340792.319084262853.353423무도학원업사립<NA><NA><NA>71.76<NA><NA><NA>
245246무도학원업10_33_02_P3470000CDFH330111200200000920020803<NA>4취소/말소/만료/정지/중지35직권말소20190705<NA><NA><NA>053-654-8322<NA>704906대구광역시 달서구 두류동 778-57번지 3층대구광역시 달서구 성당로 251 (두류동,3층)<NA>무송무도학원20190705125742U2019-07-07 02:40:00.0<NA>342077.150518262767.315641무도학원업사립<NA><NA><NA>115.62<NA><NA><NA>
246247무도학원업10_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>