Overview

Dataset statistics

Number of variables37
Number of observations259
Missing cells2585
Missing cells (%)27.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory79.0 KiB
Average record size in memory312.5 B

Variable types

Numeric5
Categorical13
Text7
DateTime6
Unsupported6

Dataset

Description24년03월_6270000_대구광역시_10_33_02_P_무도학원업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106550&dataSetDetailId=DDI_0000106570&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
지도자수 is highly imbalanced (50.7%)Imbalance
인허가취소일자 has 259 (100.0%) missing valuesMissing
폐업일자 has 78 (30.1%) missing valuesMissing
휴업시작일자 has 256 (98.8%) missing valuesMissing
휴업종료일자 has 256 (98.8%) missing valuesMissing
재개업일자 has 259 (100.0%) missing valuesMissing
소재지전화 has 63 (24.3%) missing valuesMissing
소재지면적 has 259 (100.0%) missing valuesMissing
소재지우편번호 has 52 (20.1%) missing valuesMissing
도로명전체주소 has 13 (5.0%) missing valuesMissing
도로명우편번호 has 161 (62.2%) missing valuesMissing
업태구분명 has 259 (100.0%) missing valuesMissing
좌표정보(X) has 7 (2.7%) missing valuesMissing
좌표정보(Y) has 7 (2.7%) missing valuesMissing
건축물연면적 has 137 (52.9%) missing valuesMissing
세부업종명 has 259 (100.0%) missing valuesMissing
법인명 has 259 (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 40 (15.4%) zerosZeros

Reproduction

Analysis started2024-04-29 12:11:54.258604
Analysis finished2024-04-29 12:11:55.000191
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct259
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130
Minimum1
Maximum259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-29T21:11:55.092877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.9
Q165.5
median130
Q3194.5
95-th percentile246.1
Maximum259
Range258
Interquartile range (IQR)129

Descriptive statistics

Standard deviation74.911058
Coefficient of variation (CV)0.57623891
Kurtosis-1.2
Mean130
Median Absolute Deviation (MAD)65
Skewness0
Sum33670
Variance5611.6667
MonotonicityStrictly increasing
2024-04-29T21:11:55.239510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
164 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
Other values (249) 249
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 (%)
259 1
0.4%
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
무도학원업
259 

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 259
100.0%

Length

2024-04-29T21:11:55.399382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:55.493093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 259
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
10_33_02_P
259 

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 259
100.0%

Length

2024-04-29T21:11:55.576851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:55.657642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_33_02_p 259
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3447841.7
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-29T21:11:55.739828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33470000
95-th percentile3470000
Maximum5141000
Range1731000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation107695.64
Coefficient of variation (CV)0.031235668
Kurtosis239.33725
Mean3447841.7
Median Absolute Deviation (MAD)20000
Skewness15.173434
Sum8.92991 × 108
Variance1.1598351 × 1010
MonotonicityIncreasing
2024-04-29T21:11:55.858669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 65
25.1%
3420000 60
23.2%
3430000 46
17.8%
3450000 31
12.0%
3440000 24
 
9.3%
3410000 19
 
7.3%
3460000 11
 
4.2%
3480000 2
 
0.8%
5141000 1
 
0.4%
ValueCountFrequency (%)
3410000 19
 
7.3%
3420000 60
23.2%
3430000 46
17.8%
3440000 24
 
9.3%
3450000 31
12.0%
3460000 11
 
4.2%
3470000 65
25.1%
3480000 2
 
0.8%
5141000 1
 
0.4%
ValueCountFrequency (%)
5141000 1
 
0.4%
3480000 2
 
0.8%
3470000 65
25.1%
3460000 11
 
4.2%
3450000 31
12.0%
3440000 24
 
9.3%
3430000 46
17.8%
3420000 60
23.2%
3410000 19
 
7.3%

관리번호
Text

Distinct115
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-29T21:11:56.056362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5180
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 (%)15.8%

Sample

1st rowCDFH3301111993000001
2nd rowCDFH3301112006000001
3rd rowCDFH3301111992000001
4th rowCDFH3301111992000004
5th rowCDFH3301111997000001
ValueCountFrequency (%)
cdfh3301111999000002 7
 
2.7%
cdfh3301112002000001 6
 
2.3%
cdfh3301111999000001 6
 
2.3%
cdfh3301111999000003 6
 
2.3%
cdfh3301111992000001 5
 
1.9%
cdfh3301112021000001 5
 
1.9%
cdfh3301112000000001 5
 
1.9%
cdfh3301112002000002 5
 
1.9%
cdfh3301112003000001 5
 
1.9%
cdfh3301111996000001 5
 
1.9%
Other values (105) 204
78.8%
2024-04-29T21:11:56.523696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1850
35.7%
1 1058
20.4%
3 574
 
11.1%
2 289
 
5.6%
C 259
 
5.0%
D 259
 
5.0%
F 259
 
5.0%
H 259
 
5.0%
9 233
 
4.5%
6 33
 
0.6%
Other values (4) 107
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4144
80.0%
Uppercase Letter 1036
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1850
44.6%
1 1058
25.5%
3 574
 
13.9%
2 289
 
7.0%
9 233
 
5.6%
6 33
 
0.8%
8 32
 
0.8%
7 29
 
0.7%
4 28
 
0.7%
5 18
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 259
25.0%
D 259
25.0%
F 259
25.0%
H 259
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4144
80.0%
Latin 1036
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1850
44.6%
1 1058
25.5%
3 574
 
13.9%
2 289
 
7.0%
9 233
 
5.6%
6 33
 
0.8%
8 32
 
0.8%
7 29
 
0.7%
4 28
 
0.7%
5 18
 
0.4%
Latin
ValueCountFrequency (%)
C 259
25.0%
D 259
25.0%
F 259
25.0%
H 259
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1850
35.7%
1 1058
20.4%
3 574
 
11.1%
2 289
 
5.6%
C 259
 
5.0%
D 259
 
5.0%
F 259
 
5.0%
H 259
 
5.0%
9 233
 
4.5%
6 33
 
0.6%
Other values (4) 107
 
2.1%

인허가일자
Date

Distinct250
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum1991-08-26 00:00:00
Maximum2023-12-14 00:00:00
2024-04-29T21:11:56.661150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:56.782664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing259
Missing (%)100.0%
Memory size2.4 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3
174 
1
74 
4
 
8
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 174
67.2%
1 74
28.6%
4 8
 
3.1%
2 3
 
1.2%

Length

2024-04-29T21:11:56.903621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:57.005893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 174
67.2%
1 74
28.6%
4 8
 
3.1%
2 3
 
1.2%

영업상태명
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
폐업
174 
영업/정상
74 
취소/말소/만료/정지/중지
 
8
휴업
 
3

Length

Max length14
Median length2
Mean length3.2277992
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 174
67.2%
영업/정상 74
28.6%
취소/말소/만료/정지/중지 8
 
3.1%
휴업 3
 
1.2%

Length

2024-04-29T21:11:57.119368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:57.227226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 174
67.2%
영업/정상 74
28.6%
취소/말소/만료/정지/중지 8
 
3.1%
휴업 3
 
1.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3
174 
13
74 
35
 
8
2
 
3

Length

Max length2
Median length1
Mean length1.3166023
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 174
67.2%
13 74
28.6%
35 8
 
3.1%
2 3
 
1.2%

Length

2024-04-29T21:11:57.341007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:57.436309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 174
67.2%
13 74
28.6%
35 8
 
3.1%
2 3
 
1.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
폐업
174 
영업중
74 
직권말소
 
8
휴업
 
3

Length

Max length4
Median length2
Mean length2.3474903
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 174
67.2%
영업중 74
28.6%
직권말소 8
 
3.1%
휴업 3
 
1.2%

Length

2024-04-29T21:11:57.543999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:57.645643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 174
67.2%
영업중 74
28.6%
직권말소 8
 
3.1%
휴업 3
 
1.2%

폐업일자
Date

MISSING 

Distinct169
Distinct (%)93.4%
Missing78
Missing (%)30.1%
Memory size2.2 KiB
Minimum2001-06-11 00:00:00
Maximum2024-03-29 00:00:00
2024-04-29T21:11:57.747198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:57.884320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing256
Missing (%)98.8%
Memory size2.2 KiB
Minimum2003-12-01 00:00:00
Maximum2022-11-25 00:00:00
2024-04-29T21:11:58.007678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:58.095266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing256
Missing (%)98.8%
Memory size2.2 KiB
Minimum2004-12-01 00:00:00
Maximum2022-11-25 00:00:00
2024-04-29T21:11:58.185980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:58.278552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing259
Missing (%)100.0%
Memory size2.4 KiB

소재지전화
Text

MISSING 

Distinct185
Distinct (%)94.4%
Missing63
Missing (%)24.3%
Memory size2.2 KiB
2024-04-29T21:11:58.484818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length9.6122449
Min length8

Characters and Unicode

Total characters1884
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

Unique175 ?
Unique (%)89.3%

Sample

1st row427-6392
2nd row423-4740
3rd row254-0789
4th row257-0454
5th row427-8230
ValueCountFrequency (%)
053-522-4544 3
 
1.5%
053-656-6886 2
 
1.0%
053-624-0536 2
 
1.0%
053-756-2333 2
 
1.0%
053-629-1999 2
 
1.0%
767-6228 2
 
1.0%
255-6075 2
 
1.0%
053-583-4991 2
 
1.0%
953-1690 2
 
1.0%
053-651-4849 2
 
1.0%
Other values (175) 175
89.3%
2024-04-29T21:11:58.830979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 318
16.9%
- 270
14.3%
3 232
12.3%
6 179
9.5%
0 154
8.2%
2 149
7.9%
4 133
7.1%
7 124
 
6.6%
9 115
 
6.1%
8 107
 
5.7%
Other values (4) 103
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1610
85.5%
Dash Punctuation 270
 
14.3%
Close Punctuation 2
 
0.1%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 318
19.8%
3 232
14.4%
6 179
11.1%
0 154
9.6%
2 149
9.3%
4 133
8.3%
7 124
 
7.7%
9 115
 
7.1%
8 107
 
6.6%
1 99
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 270
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 1884
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 318
16.9%
- 270
14.3%
3 232
12.3%
6 179
9.5%
0 154
8.2%
2 149
7.9%
4 133
7.1%
7 124
 
6.6%
9 115
 
6.1%
8 107
 
5.7%
Other values (4) 103
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 318
16.9%
- 270
14.3%
3 232
12.3%
6 179
9.5%
0 154
8.2%
2 149
7.9%
4 133
7.1%
7 124
 
6.6%
9 115
 
6.1%
8 107
 
5.7%
Other values (4) 103
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing259
Missing (%)100.0%
Memory size2.4 KiB

소재지우편번호
Text

MISSING 

Distinct102
Distinct (%)49.3%
Missing52
Missing (%)20.1%
Memory size2.2 KiB
2024-04-29T21:11:59.121985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1449
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)24.6%

Sample

1st row700-040
2nd row700-422
3rd row700-424
4th row700-803
5th row700-815
ValueCountFrequency (%)
701-816 9
 
4.3%
704-940 7
 
3.4%
703-802 7
 
3.4%
703-806 5
 
2.4%
703-814 5
 
2.4%
704-816 5
 
2.4%
704-915 5
 
2.4%
704-834 5
 
2.4%
701-827 4
 
1.9%
703-801 4
 
1.9%
Other values (92) 151
72.9%
2024-04-29T21:11:59.543998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 313
21.6%
7 215
14.8%
- 207
14.3%
8 161
11.1%
1 121
 
8.4%
4 112
 
7.7%
2 100
 
6.9%
3 85
 
5.9%
6 53
 
3.7%
5 43
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1242
85.7%
Dash Punctuation 207
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 313
25.2%
7 215
17.3%
8 161
13.0%
1 121
 
9.7%
4 112
 
9.0%
2 100
 
8.1%
3 85
 
6.8%
6 53
 
4.3%
5 43
 
3.5%
9 39
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 207
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1449
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 313
21.6%
7 215
14.8%
- 207
14.3%
8 161
11.1%
1 121
 
8.4%
4 112
 
7.7%
2 100
 
6.9%
3 85
 
5.9%
6 53
 
3.7%
5 43
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1449
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 313
21.6%
7 215
14.8%
- 207
14.3%
8 161
11.1%
1 121
 
8.4%
4 112
 
7.7%
2 100
 
6.9%
3 85
 
5.9%
6 53
 
3.7%
5 43
 
3.0%

소재지전체주소
Text

Distinct238
Distinct (%)92.2%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2024-04-29T21:11:59.772612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length22.573643
Min length18

Characters and Unicode

Total characters5824
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

Unique219 ?
Unique (%)84.9%

Sample

1st row대구광역시 중구 사일동 19-3번지
2nd row대구광역시 중구 동인동2가 61-10번지
3rd row대구광역시 중구 동인동4가 120-10번지
4th row대구광역시 중구 남산동 700-10
5th row대구광역시 중구 대신동 115-7번지
ValueCountFrequency (%)
대구광역시 258
23.0%
달서구 65
 
5.8%
동구 60
 
5.3%
서구 45
 
4.0%
북구 31
 
2.8%
남구 24
 
2.1%
3층 24
 
2.1%
2층 21
 
1.9%
대명동 19
 
1.7%
비산동 19
 
1.7%
Other values (301) 557
49.6%
2024-04-29T21:12:00.137753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1123
19.3%
구 513
 
8.8%
동 319
 
5.5%
대 287
 
4.9%
시 261
 
4.5%
광 258
 
4.4%
역 258
 
4.4%
- 245
 
4.2%
1 225
 
3.9%
2 223
 
3.8%
Other values (86) 2112
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3201
55.0%
Decimal Number 1246
 
21.4%
Space Separator 1123
 
19.3%
Dash Punctuation 245
 
4.2%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 513
16.0%
동 319
10.0%
대 287
9.0%
시 261
 
8.2%
광 258
 
8.1%
역 258
 
8.1%
지 215
 
6.7%
번 188
 
5.9%
서 111
 
3.5%
층 81
 
2.5%
Other values (71) 710
22.2%
Decimal Number
ValueCountFrequency (%)
1 225
18.1%
2 223
17.9%
3 177
14.2%
4 134
10.8%
5 108
8.7%
0 86
 
6.9%
9 74
 
5.9%
6 73
 
5.9%
8 73
 
5.9%
7 73
 
5.9%
Space Separator
ValueCountFrequency (%)
1123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 245
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 3201
55.0%
Common 2623
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 513
16.0%
동 319
10.0%
대 287
9.0%
시 261
 
8.2%
광 258
 
8.1%
역 258
 
8.1%
지 215
 
6.7%
번 188
 
5.9%
서 111
 
3.5%
층 81
 
2.5%
Other values (71) 710
22.2%
Common
ValueCountFrequency (%)
1123
42.8%
- 245
 
9.3%
1 225
 
8.6%
2 223
 
8.5%
3 177
 
6.7%
4 134
 
5.1%
5 108
 
4.1%
0 86
 
3.3%
9 74
 
2.8%
6 73
 
2.8%
Other values (5) 155
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3201
55.0%
ASCII 2623
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1123
42.8%
- 245
 
9.3%
1 225
 
8.6%
2 223
 
8.5%
3 177
 
6.7%
4 134
 
5.1%
5 108
 
4.1%
0 86
 
3.3%
9 74
 
2.8%
6 73
 
2.8%
Other values (5) 155
 
5.9%
Hangul
ValueCountFrequency (%)
구 513
16.0%
동 319
10.0%
대 287
9.0%
시 261
 
8.2%
광 258
 
8.1%
역 258
 
8.1%
지 215
 
6.7%
번 188
 
5.9%
서 111
 
3.5%
층 81
 
2.5%
Other values (71) 710
22.2%

도로명전체주소
Text

MISSING 

Distinct232
Distinct (%)94.3%
Missing13
Missing (%)5.0%
Memory size2.2 KiB
2024-04-29T21:12:00.361126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length25.609756
Min length21

Characters and Unicode

Total characters6300
Distinct characters126
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

Unique218 ?
Unique (%)88.6%

Sample

1st row대구광역시 중구 경상감영길 298-5 (동인동2가)
2nd row대구광역시 중구 국채보상로 701 (동인동4가)
3rd row대구광역시 중구 중앙대로61길 14 (남산동)
4th row대구광역시 중구 국채보상로 452 (대신동)
5th row대구광역시 중구 경상감영1길 56 (향촌동)
ValueCountFrequency (%)
대구광역시 246
 
19.2%
달서구 63
 
4.9%
동구 60
 
4.7%
서구 46
 
3.6%
북구 31
 
2.4%
남구 24
 
1.9%
비산동 19
 
1.5%
달서로 18
 
1.4%
내당동 15
 
1.2%
성당로 14
 
1.1%
Other values (354) 747
58.2%
2024-04-29T21:12:00.744728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1150
18.3%
구 531
 
8.4%
동 349
 
5.5%
대 323
 
5.1%
시 250
 
4.0%
역 246
 
3.9%
광 246
 
3.9%
) 245
 
3.9%
( 245
 
3.9%
로 245
 
3.9%
Other values (116) 2470
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3639
57.8%
Space Separator 1150
 
18.3%
Decimal Number 881
 
14.0%
Close Punctuation 245
 
3.9%
Open Punctuation 245
 
3.9%
Other Punctuation 102
 
1.6%
Dash Punctuation 38
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 531
14.6%
동 349
 
9.6%
대 323
 
8.9%
시 250
 
6.9%
역 246
 
6.8%
광 246
 
6.8%
로 245
 
6.7%
서 149
 
4.1%
달 108
 
3.0%
층 98
 
2.7%
Other values (101) 1094
30.1%
Decimal Number
ValueCountFrequency (%)
1 186
21.1%
2 162
18.4%
3 113
12.8%
5 92
10.4%
4 83
9.4%
6 60
 
6.8%
8 56
 
6.4%
7 48
 
5.4%
0 42
 
4.8%
9 39
 
4.4%
Space Separator
ValueCountFrequency (%)
1150
100.0%
Close Punctuation
ValueCountFrequency (%)
) 245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 245
100.0%
Other Punctuation
ValueCountFrequency (%)
, 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3639
57.8%
Common 2661
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 531
14.6%
동 349
 
9.6%
대 323
 
8.9%
시 250
 
6.9%
역 246
 
6.8%
광 246
 
6.8%
로 245
 
6.7%
서 149
 
4.1%
달 108
 
3.0%
층 98
 
2.7%
Other values (101) 1094
30.1%
Common
ValueCountFrequency (%)
1150
43.2%
) 245
 
9.2%
( 245
 
9.2%
1 186
 
7.0%
2 162
 
6.1%
3 113
 
4.2%
, 102
 
3.8%
5 92
 
3.5%
4 83
 
3.1%
6 60
 
2.3%
Other values (5) 223
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3639
57.8%
ASCII 2661
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1150
43.2%
) 245
 
9.2%
( 245
 
9.2%
1 186
 
7.0%
2 162
 
6.1%
3 113
 
4.2%
, 102
 
3.8%
5 92
 
3.5%
4 83
 
3.1%
6 60
 
2.3%
Other values (5) 223
 
8.4%
Hangul
ValueCountFrequency (%)
구 531
14.6%
동 349
 
9.6%
대 323
 
8.9%
시 250
 
6.9%
역 246
 
6.8%
광 246
 
6.8%
로 245
 
6.7%
서 149
 
4.1%
달 108
 
3.0%
층 98
 
2.7%
Other values (101) 1094
30.1%

도로명우편번호
Text

MISSING 

Distinct72
Distinct (%)73.5%
Missing161
Missing (%)62.2%
Memory size2.2 KiB
2024-04-29T21:12:00.963590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3469388
Min length5

Characters and Unicode

Total characters524
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)54.1%

Sample

1st row700-422
2nd row41908
3rd row41968
4th row700-320
5th row41918
ValueCountFrequency (%)
42612 6
 
6.1%
41557 3
 
3.1%
41812 3
 
3.1%
41560 3
 
3.1%
42459 2
 
2.0%
42197 2
 
2.0%
41253 2
 
2.0%
42814 2
 
2.0%
704-940 2
 
2.0%
42132 2
 
2.0%
Other values (62) 71
72.4%
2024-04-29T21:12:01.331334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 126
24.0%
1 98
18.7%
2 72
13.7%
0 47
 
9.0%
5 34
 
6.5%
7 30
 
5.7%
6 26
 
5.0%
8 25
 
4.8%
3 25
 
4.8%
9 24
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 507
96.8%
Dash Punctuation 17
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 126
24.9%
1 98
19.3%
2 72
14.2%
0 47
 
9.3%
5 34
 
6.7%
7 30
 
5.9%
6 26
 
5.1%
8 25
 
4.9%
3 25
 
4.9%
9 24
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 524
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 126
24.0%
1 98
18.7%
2 72
13.7%
0 47
 
9.0%
5 34
 
6.5%
7 30
 
5.7%
6 26
 
5.0%
8 25
 
4.8%
3 25
 
4.8%
9 24
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 524
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 126
24.0%
1 98
18.7%
2 72
13.7%
0 47
 
9.0%
5 34
 
6.5%
7 30
 
5.7%
6 26
 
5.0%
8 25
 
4.8%
3 25
 
4.8%
9 24
 
4.6%

사업장명
Text

Distinct227
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-29T21:12:01.599469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.5637066
Min length2

Characters and Unicode

Total characters1700
Distinct characters193
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

Unique204 ?
Unique (%)78.8%

Sample

1st row영호무도학원
2nd row핑크랑무도학원
3rd row세진무도학원
4th row송림무도학원
5th row대화무도학원
ValueCountFrequency (%)
무도학원 17
 
5.9%
현대무도학원 5
 
1.7%
강혜란무도학원 5
 
1.7%
성당무도학원 3
 
1.0%
반고개무도학원 3
 
1.0%
한일무도학원 3
 
1.0%
댄스스포츠 3
 
1.0%
명성무도학원 3
 
1.0%
해림무도학원 2
 
0.7%
본리무도학원 2
 
0.7%
Other values (226) 244
84.1%
2024-04-29T21:12:01.993868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 203
 
11.9%
학 194
 
11.4%
도 192
 
11.3%
무 187
 
11.0%
스 127
 
7.5%
댄 61
 
3.6%
츠 51
 
3.0%
포 51
 
3.0%
31
 
1.8%
동 20
 
1.2%
Other values (183) 583
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1647
96.9%
Space Separator 31
 
1.8%
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 203
 
12.3%
학 194
 
11.8%
도 192
 
11.7%
무 187
 
11.4%
스 127
 
7.7%
댄 61
 
3.7%
츠 51
 
3.1%
포 51
 
3.1%
동 20
 
1.2%
성 19
 
1.2%
Other values (171) 542
32.9%
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 (%)
31
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 1647
96.9%
Common 40
 
2.4%
Latin 13
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 203
 
12.3%
학 194
 
11.8%
도 192
 
11.7%
무 187
 
11.4%
스 127
 
7.7%
댄 61
 
3.7%
츠 51
 
3.1%
포 51
 
3.1%
동 20
 
1.2%
성 19
 
1.2%
Other values (171) 542
32.9%
Common
ValueCountFrequency (%)
31
77.5%
2 3
 
7.5%
& 2
 
5.0%
5 1
 
2.5%
1 1
 
2.5%
) 1
 
2.5%
( 1
 
2.5%
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 1647
96.9%
ASCII 53
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 203
 
12.3%
학 194
 
11.8%
도 192
 
11.7%
무 187
 
11.4%
스 127
 
7.7%
댄 61
 
3.7%
츠 51
 
3.1%
포 51
 
3.1%
동 20
 
1.2%
성 19
 
1.2%
Other values (171) 542
32.9%
ASCII
ValueCountFrequency (%)
31
58.5%
J 4
 
7.5%
K 4
 
7.5%
2 3
 
5.7%
S 3
 
5.7%
& 2
 
3.8%
5 1
 
1.9%
1 1
 
1.9%
Y 1
 
1.9%
) 1
 
1.9%
Other values (2) 2
 
3.8%

최종수정시점
Date

UNIQUE 

Distinct259
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2003-01-15 17:06:56
Maximum2024-03-29 16:46:09
2024-04-29T21:12:02.119182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:12:02.256395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
I
166 
U
93 

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 166
64.1%
U 93
35.9%

Length

2024-04-29T21:12:02.375489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:12:02.464113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 166
64.1%
u 93
35.9%

데이터갱신일자
Date

Distinct73
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2018-08-31 23:59:59
Maximum2024-03-31 02:40:00
2024-04-29T21:12:02.560411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:12:02.686664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing259
Missing (%)100.0%
Memory size2.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct198
Distinct (%)78.6%
Missing7
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean342936.99
Minimum330376.07
Maximum354441.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-29T21:12:02.822249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330376.07
5-th percentile335964.93
Q1340406.95
median342058.57
Q3346184.85
95-th percentile348644.42
Maximum354441.6
Range24065.534
Interquartile range (IQR)5777.8917

Descriptive statistics

Standard deviation4081.5532
Coefficient of variation (CV)0.011901759
Kurtosis0.58661489
Mean342936.99
Median Absolute Deviation (MAD)2422.6848
Skewness0.30731477
Sum86420120
Variance16659076
MonotonicityNot monotonic
2024-04-29T21:12:02.967735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341807.548889711 5
 
1.9%
341918.332239597 5
 
1.9%
335921.019181309 4
 
1.5%
348644.422813612 4
 
1.5%
346892.942619975 3
 
1.2%
340582.81104844 3
 
1.2%
338749.058511883 3
 
1.2%
339638.7472774 3
 
1.2%
342838.828653245 2
 
0.8%
343768.954118612 2
 
0.8%
Other values (188) 218
84.2%
(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
1.5%
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 

Distinct198
Distinct (%)78.6%
Missing7
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean263915.41
Minimum245171.87
Maximum305044.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-29T21:12:03.095531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245171.87
5-th percentile258291.42
Q1262118.12
median264312.6
Q3265657.73
95-th percentile267230.56
Maximum305044.11
Range59872.24
Interquartile range (IQR)3539.6142

Descriptive statistics

Standard deviation4201.9728
Coefficient of variation (CV)0.015921665
Kurtosis38.789384
Mean263915.41
Median Absolute Deviation (MAD)1820.4913
Skewness3.20739
Sum66506684
Variance17656576
MonotonicityNot monotonic
2024-04-29T21:12:03.218740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262118.118471309 5
 
1.9%
263704.826465269 5
 
1.9%
262555.588663467 4
 
1.5%
266825.726401877 4
 
1.5%
264716.87017094 3
 
1.2%
263619.823875988 3
 
1.2%
261141.544145696 3
 
1.2%
258034.934254348 3
 
1.2%
262478.127013539 2
 
0.8%
261708.109893691 2
 
0.8%
Other values (188) 218
84.2%
(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 (%)
305044.109152526 1
0.4%
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%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
무도학원업
259 

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 259
100.0%

Length

2024-04-29T21:12:03.588932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:12:03.677159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 259
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
사립
259 

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 259
100.0%

Length

2024-04-29T21:12:03.765168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:12:03.847420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 259
100.0%

보험가입여부코드
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
94 
<NA>
91 
Y
65 
1
 
9

Length

Max length4
Median length1
Mean length2.0540541
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 94
36.3%
<NA> 91
35.1%
Y 65
25.1%
1 9
 
3.5%

Length

2024-04-29T21:12:03.938851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:12:04.038145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 94
36.3%
na 91
35.1%
y 65
25.1%
1 9
 
3.5%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
203 
0
55 
1
 
1

Length

Max length4
Median length4
Mean length3.3513514
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> 203
78.4%
0 55
 
21.2%
1 1
 
0.4%

Length

2024-04-29T21:12:04.150556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:12:04.251739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 203
78.4%
0 55
 
21.2%
1 1
 
0.4%

건축물동수
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
191 
0
52 
1
 
15
2
 
1

Length

Max length4
Median length4
Mean length3.2123552
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> 191
73.7%
0 52
 
20.1%
1 15
 
5.8%
2 1
 
0.4%

Length

2024-04-29T21:12:04.360541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:12:04.452929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 191
73.7%
0 52
 
20.1%
1 15
 
5.8%
2 1
 
0.4%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct79
Distinct (%)64.8%
Missing137
Missing (%)52.9%
Infinite0
Infinite (%)0.0%
Mean443.96033
Minimum0
Maximum8593.94
Zeros40
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-29T21:12:04.555854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median98.125
Q3413.22
95-th percentile1649.9
Maximum8593.94
Range8593.94
Interquartile range (IQR)413.22

Descriptive statistics

Standard deviation1063.4462
Coefficient of variation (CV)2.3953631
Kurtosis36.34547
Mean443.96033
Median Absolute Deviation (MAD)98.125
Skewness5.5074159
Sum54163.16
Variance1130917.8
MonotonicityNot monotonic
2024-04-29T21:12:04.685146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 40
 
15.4%
413.22 3
 
1.2%
457.58 2
 
0.8%
1649.9 2
 
0.8%
115.62 1
 
0.4%
67.43 1
 
0.4%
164.4 1
 
0.4%
97.2 1
 
0.4%
67.38 1
 
0.4%
86.56 1
 
0.4%
Other values (69) 69
26.6%
(Missing) 137
52.9%
ValueCountFrequency (%)
0.0 40
15.4%
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 size2.2 KiB
<NA>
204 
0
55 

Length

Max length4
Median length4
Mean length3.3629344
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> 204
78.8%
0 55
 
21.2%

Length

2024-04-29T21:12:04.810931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:12:04.915922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 204
78.8%
0 55
 
21.2%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing259
Missing (%)100.0%
Memory size2.4 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing259
Missing (%)100.0%
Memory size2.4 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01무도학원업10_33_02_P3410000CDFH33011119930000011993-02-24<NA>3폐업3폐업2009-01-13<NA><NA><NA>427-6392<NA>700-040대구광역시 중구 사일동 19-3번지<NA><NA>영호무도학원2005-12-06 17:38:11I2018-08-31 23:59:59<NA><NA><NA>무도학원업사립0<NA><NA>66.5<NA><NA><NA>
12무도학원업10_33_02_P3410000CDFH33011120060000012006-06-14<NA>4취소/말소/만료/정지/중지35직권말소2009-06-18<NA><NA><NA><NA><NA>700-422대구광역시 중구 동인동2가 61-10번지대구광역시 중구 경상감영길 298-5 (동인동2가)700-422핑크랑무도학원2011-10-30 14:35:25I2018-08-31 23:59:59<NA>344747.271987264541.830989무도학원업사립<NA><NA><NA>139.92<NA><NA><NA>
23무도학원업10_33_02_P3410000CDFH33011119920000011992-05-13<NA>3폐업3폐업2015-10-15<NA><NA><NA>423-4740<NA>700-424대구광역시 중구 동인동4가 120-10번지대구광역시 중구 국채보상로 701 (동인동4가)41908세진무도학원2015-10-15 16:41:26I2018-08-31 23:59:59<NA>345079.657277264410.633364무도학원업사립Y<NA><NA><NA><NA><NA><NA>
34무도학원업10_33_02_P3410000CDFH33011119920000041992-08-28<NA>3폐업3폐업2020-08-18<NA><NA><NA>254-0789<NA>700-803대구광역시 중구 남산동 700-10대구광역시 중구 중앙대로61길 14 (남산동)41968송림무도학원2020-08-18 09:31:11U2020-08-20 02:40:00<NA>343653.234033263404.99816무도학원업사립Y<NA><NA>987.03<NA><NA><NA>
45무도학원업10_33_02_P3410000CDFH33011119970000011997-06-16<NA>3폐업3폐업2013-02-26<NA><NA><NA>257-0454<NA>700-815대구광역시 중구 대신동 115-7번지대구광역시 중구 국채보상로 452 (대신동)700-320대화무도학원2014-01-23 17:03:15I2018-08-31 23:59:59<NA>342625.743858264485.534585무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
56무도학원업10_33_02_P3410000CDFH33011119980000011998-01-06<NA>3폐업3폐업2001-06-11<NA><NA><NA>427-8230<NA>700-230대구광역시 중구 남성로 60번지<NA><NA>동아댄스스포츠스쿨2003-03-03 10:35:11I2018-08-31 23:59:59<NA>343562.397354264232.568585무도학원업사립0<NA><NA>66.0<NA><NA><NA>
67무도학원업10_33_02_P3410000CDFH33011119990000031999-04-29<NA>3폐업3폐업2003-02-28<NA><NA><NA>426-4512<NA>700-423대구광역시 중구 동인동3가 271-54번지<NA><NA>동아댄스스포츠학원2003-03-03 10:16:01I2018-08-31 23:59:59<NA>345148.910317264805.281524무도학원업사립0<NA><NA>99.05<NA><NA><NA>
78무도학원업10_33_02_P3410000CDFH33011120020000022002-02-08<NA>3폐업3폐업2011-06-13<NA><NA><NA>255-6075<NA>700-290대구광역시 중구 시장북로 26-1번지<NA><NA>동경무도학원2011-06-13 16:31:49I2018-08-31 23:59:59<NA>342897.130045264638.387292무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
89무도학원업10_33_02_P3410000CDFH33011120020000032002-11-04<NA>3폐업3폐업2005-03-28<NA><NA><NA>423-3234<NA>700-422대구광역시 중구 동인동2가 61-10번지<NA><NA>핑크랑무도학원2005-03-28 10:30:44I2018-08-31 23:59:59<NA>344747.271987264541.830989무도학원업사립0<NA><NA><NA><NA><NA><NA>
910무도학원업10_33_02_P3410000CDFH33011120010000012001-05-04<NA>3폐업3폐업2003-04-11<NA><NA><NA><NA><NA>700-811대구광역시 중구 대봉동 168-4번지<NA><NA>대봉무도학원2004-12-23 16:52:59I2018-08-31 23:59:59<NA>344504.288923262911.836526무도학원업사립0<NA><NA>189.72<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
249250무도학원업10_33_02_P3470000CDFH33011120050000012005-05-20<NA>1영업/정상13영업중<NA><NA><NA><NA>053-656-6886<NA>704-915대구광역시 달서구 성당동 54-29대구광역시 달서구 성당로 197 (성당동)<NA>쌍쌍무도학원2023-08-02 17:33:09U2023-08-04 02:40:00<NA>341950.739006262303.118444무도학원업사립Y<NA><NA><NA><NA><NA><NA>
250251무도학원업10_33_02_P3470000CDFH33011120060000022006-11-03<NA>1영업/정상13영업중<NA><NA><NA><NA>053-651-4849<NA>704-821대구광역시 달서구 송현동 142-2대구광역시 달서구 월배로 435 (송현동)<NA>관문무도학원2023-09-11 17:45:24U2023-09-13 02:40:00<NA>340249.636813260305.988507무도학원업사립<NA>000.00<NA><NA>
251252무도학원업10_33_02_P3470000CDFH33011120100000012010-06-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>704-806대구광역시 달서구 본동 737 2층대구광역시 달서구 와룡로 45 (본동,2층)<NA>강산무도학원2022-06-22 12:54:30U2022-06-24 02:40:00<NA>338763.996779260713.114351무도학원업사립Y000.00<NA><NA>
252253무도학원업10_33_02_P3470000CDFH33011120030000042003-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>704-940대구광역시 달서구 이곡동 1224-7 4층대구광역시 달서구 달구벌대로251안길 25 (이곡동)704-940강남 무도학원2023-02-09 09:24:05U2023-02-11 02:40:00<NA>335952.866799262492.107105무도학원업사립<NA>000.00<NA><NA>
253254무도학원업10_33_02_P3470000CDFH33011120030000082003-05-20<NA>1영업/정상13영업중<NA><NA><NA><NA>053-656-1210<NA>704-915대구광역시 달서구 성당동 263-5대구광역시 달서구 구마로 241 (성당동)<NA>25시무도학원2022-06-22 12:46:11U2022-06-24 02:40:00<NA>340350.089675260809.865136무도학원업사립<NA>000.00<NA><NA>
254255무도학원업10_33_02_P3470000CDFH33011120120000012012-07-09<NA>1영업/정상13영업중<NA><NA><NA><NA>053-522-8887<NA>704-914대구광역시 달서구 본리동 429-4대구광역시 달서구 구마로11길 88 (본리동)42693S&K 댄스스포츠2022-06-22 12:57:28U2022-06-24 02:40:00<NA>338541.189915261222.52219무도학원업사립<NA>000.00<NA><NA>
255256무도학원업10_33_02_P3470000CDFH33011120120000022012-08-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>704-940대구광역시 달서구 이곡동 1220-7대구광역시 달서구 달구벌대로251안길 24 (이곡동)42612성서무도댄스스포츠학원2022-06-22 11:47:57U2022-06-24 02:40:00<NA>335974.805126262530.810107무도학원업사립Y000.00<NA><NA>
256257무도학원업10_33_02_P3480000CDFH33011120210000012021-06-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 부리 275 2층대구광역시 달성군 현풍읍 현풍중앙로21길 13, 2층43000현풍무도학원2024-01-04 12:57:56U2024-01-06 02:40:00<NA>330376.065263245171.86909무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
257258무도학원업10_33_02_P3480000CDFH33011120000000012000-08-17<NA>3폐업3폐업2019-10-31<NA><NA><NA>611-1227<NA>711-872대구광역시 달성군 현풍읍 부리 275번지대구광역시 달성군 현풍읍 현풍중앙로21길 13<NA>현풍댄스스포츠2019-11-01 16:48:06U2019-11-03 02:40:00<NA>330376.065263245171.86909무도학원업사립<NA><NA><NA>427.95<NA><NA><NA>
258259무도학원업10_33_02_P5141000CDFH33011120230000012023-05-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 서부리 55-2대구광역시 군위군 군위읍 중앙길 84, 3층43119칠성당구장2023-05-15 17:54:54I2023-07-01 16:42:10<NA>340776.702694305044.109153무도학원업사립<NA>000.00<NA><NA>