Overview

Dataset statistics

Number of variables37
Number of observations258
Missing cells2587
Missing cells (%)27.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.7 KiB
Average record size in memory312.5 B

Variable types

Numeric5
Categorical13
Text7
DateTime6
Unsupported6

Dataset

Description23년09월_6270000_대구광역시_10_33_02_P_무도학원업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000100797&dataSetDetailId=DDI_0000100825&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 (59.1%)Imbalance
건축물동수 is highly imbalanced (52.8%)Imbalance
인허가취소일자 has 258 (100.0%) missing valuesMissing
폐업일자 has 79 (30.6%) missing valuesMissing
휴업시작일자 has 255 (98.8%) missing valuesMissing
휴업종료일자 has 255 (98.8%) missing valuesMissing
재개업일자 has 258 (100.0%) missing valuesMissing
소재지전화 has 62 (24.0%) missing valuesMissing
소재지면적 has 258 (100.0%) missing valuesMissing
소재지우편번호 has 40 (15.5%) missing valuesMissing
도로명전체주소 has 13 (5.0%) missing valuesMissing
도로명우편번호 has 172 (66.7%) missing valuesMissing
업태구분명 has 258 (100.0%) missing valuesMissing
좌표정보(X) has 7 (2.7%) missing valuesMissing
좌표정보(Y) has 7 (2.7%) missing valuesMissing
건축물연면적 has 148 (57.4%) missing valuesMissing
세부업종명 has 258 (100.0%) missing valuesMissing
법인명 has 258 (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 29 (11.2%) zerosZeros

Reproduction

Analysis started2023-10-21 05:45:51.874624
Analysis finished2023-10-21 05:45:54.971160
Duration3.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.5
Minimum1
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-10-21T05:45:55.756597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.85
Q165.25
median129.5
Q3193.75
95-th percentile245.15
Maximum258
Range257
Interquartile range (IQR)128.5

Descriptive statistics

Standard deviation74.622383
Coefficient of variation (CV)0.57623462
Kurtosis-1.2
Mean129.5
Median Absolute Deviation (MAD)64.5
Skewness0
Sum33411
Variance5568.5
MonotonicityStrictly increasing
2023-10-21T05:45:56.813930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
195 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%
171 1
 
0.4%
172 1
 
0.4%
Other values (248) 248
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 (%)
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%
249 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
무도학원업
258 

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 258
100.0%

Length

2023-10-21T05:45:57.835414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:45:58.627140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 258
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
10_33_02_P
258 

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 258
100.0%

Length

2023-10-21T05:45:59.306156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:45:59.865724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_33_02_p 258
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3447949.6
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-10-21T05:46:00.337016image/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 deviation107890.93
Coefficient of variation (CV)0.03129133
Kurtosis238.48359
Mean3447949.6
Median Absolute Deviation (MAD)20000
Skewness15.147409
Sum8.89571 × 108
Variance1.1640453 × 1010
MonotonicityIncreasing
2023-10-21T05:46:00.843387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 65
25.2%
3420000 59
22.9%
3430000 46
17.8%
3450000 31
12.0%
3440000 24
 
9.3%
3410000 19
 
7.4%
3460000 11
 
4.3%
3480000 2
 
0.8%
5141000 1
 
0.4%
ValueCountFrequency (%)
3410000 19
 
7.4%
3420000 59
22.9%
3430000 46
17.8%
3440000 24
 
9.3%
3450000 31
12.0%
3460000 11
 
4.3%
3470000 65
25.2%
3480000 2
 
0.8%
5141000 1
 
0.4%
ValueCountFrequency (%)
5141000 1
 
0.4%
3480000 2
 
0.8%
3470000 65
25.2%
3460000 11
 
4.3%
3450000 31
12.0%
3440000 24
 
9.3%
3430000 46
17.8%
3420000 59
22.9%
3410000 19
 
7.4%

관리번호
Text

Distinct115
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-10-21T05:46:01.322041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5160
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 (%)15.9%

Sample

1st rowCDFH3301111993000001
2nd rowCDFH3301112006000001
3rd rowCDFH3301111992000001
4th rowCDFH3301111992000004
5th rowCDFH3301111997000001
ValueCountFrequency (%)
cdfh3301111999000002 7
 
2.7%
cdfh3301111999000003 6
 
2.3%
cdfh3301112002000001 6
 
2.3%
cdfh3301111999000001 6
 
2.3%
cdfh3301112000000001 5
 
1.9%
cdfh3301111992000001 5
 
1.9%
cdfh3301112021000001 5
 
1.9%
cdfh3301112002000002 5
 
1.9%
cdfh3301112003000001 5
 
1.9%
cdfh3301111996000001 5
 
1.9%
Other values (105) 203
78.7%
2023-10-21T05:46:02.570177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1843
35.7%
1 1054
20.4%
3 571
 
11.1%
2 287
 
5.6%
C 258
 
5.0%
D 258
 
5.0%
F 258
 
5.0%
H 258
 
5.0%
9 233
 
4.5%
6 33
 
0.6%
Other values (4) 107
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4128
80.0%
Uppercase Letter 1032
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1843
44.6%
1 1054
25.5%
3 571
 
13.8%
2 287
 
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 258
25.0%
D 258
25.0%
F 258
25.0%
H 258
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4128
80.0%
Latin 1032
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1843
44.6%
1 1054
25.5%
3 571
 
13.8%
2 287
 
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 258
25.0%
D 258
25.0%
F 258
25.0%
H 258
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1843
35.7%
1 1054
20.4%
3 571
 
11.1%
2 287
 
5.6%
C 258
 
5.0%
D 258
 
5.0%
F 258
 
5.0%
H 258
 
5.0%
9 233
 
4.5%
6 33
 
0.6%
Other values (4) 107
 
2.1%

인허가일자
Date

Distinct249
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1991-08-26 00:00:00
Maximum2023-05-15 00:00:00
2023-10-21T05:46:03.239709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:46:03.753689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3
173 
1
75 
4
 
7
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 (%)
3 173
67.1%
1 75
29.1%
4 7
 
2.7%
2 3
 
1.2%

Length

2023-10-21T05:46:04.188987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:46:04.598450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 173
67.1%
1 75
29.1%
4 7
 
2.7%
2 3
 
1.2%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
173 
영업/정상
75 
취소/말소/만료/정지/중지
 
7
휴업
 
3

Length

Max length14
Median length2
Mean length3.1976744
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 173
67.1%
영업/정상 75
29.1%
취소/말소/만료/정지/중지 7
 
2.7%
휴업 3
 
1.2%

Length

2023-10-21T05:46:05.191703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:46:05.696138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 173
67.1%
영업/정상 75
29.1%
취소/말소/만료/정지/중지 7
 
2.7%
휴업 3
 
1.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3
173 
13
75 
35
 
7
2
 
3

Length

Max length2
Median length1
Mean length1.3178295
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 173
67.1%
13 75
29.1%
35 7
 
2.7%
2 3
 
1.2%

Length

2023-10-21T05:46:06.290446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:46:06.742315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 173
67.1%
13 75
29.1%
35 7
 
2.7%
2 3
 
1.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
173 
영업중
75 
직권말소
 
7
휴업
 
3

Length

Max length4
Median length2
Mean length2.3449612
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 173
67.1%
영업중 75
29.1%
직권말소 7
 
2.7%
휴업 3
 
1.2%

Length

2023-10-21T05:46:07.243520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:46:07.662118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 173
67.1%
영업중 75
29.1%
직권말소 7
 
2.7%
휴업 3
 
1.2%

폐업일자
Date

MISSING 

Distinct167
Distinct (%)93.3%
Missing79
Missing (%)30.6%
Memory size2.1 KiB
Minimum2001-06-11 00:00:00
Maximum2023-08-23 00:00:00
2023-10-21T05:46:08.016042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:46:08.578751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing255
Missing (%)98.8%
Memory size2.1 KiB
Minimum2003-12-01 00:00:00
Maximum2022-11-25 00:00:00
2023-10-21T05:46:09.038191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:46:09.398991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing255
Missing (%)98.8%
Memory size2.1 KiB
Minimum2004-12-01 00:00:00
Maximum2022-11-25 00:00:00
2023-10-21T05:46:09.708767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:46:10.158433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

소재지전화
Text

MISSING 

Distinct185
Distinct (%)94.4%
Missing62
Missing (%)24.0%
Memory size2.1 KiB
2023-10-21T05:46:10.763952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length9.3673469
Min length8

Characters and Unicode

Total characters1836
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%
2023-10-21T05:46:11.859581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 306
16.7%
- 258
14.1%
3 220
12.0%
6 179
9.7%
2 149
8.1%
0 142
7.7%
4 133
7.2%
7 124
6.8%
9 115
 
6.3%
8 107
 
5.8%
Other values (4) 103
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1574
85.7%
Dash Punctuation 258
 
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 (%)
5 306
19.4%
3 220
14.0%
6 179
11.4%
2 149
9.5%
0 142
9.0%
4 133
8.4%
7 124
7.9%
9 115
 
7.3%
8 107
 
6.8%
1 99
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 258
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 1836
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 306
16.7%
- 258
14.1%
3 220
12.0%
6 179
9.7%
2 149
8.1%
0 142
7.7%
4 133
7.2%
7 124
6.8%
9 115
 
6.3%
8 107
 
5.8%
Other values (4) 103
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 306
16.7%
- 258
14.1%
3 220
12.0%
6 179
9.7%
2 149
8.1%
0 142
7.7%
4 133
7.2%
7 124
6.8%
9 115
 
6.3%
8 107
 
5.8%
Other values (4) 103
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

소재지우편번호
Text

MISSING 

Distinct104
Distinct (%)47.7%
Missing40
Missing (%)15.5%
Memory size2.1 KiB
2023-10-21T05:46:12.570349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1526
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

Unique52 ?
Unique (%)23.9%

Sample

1st row700-040
2nd row700-422
3rd row700-424
4th row700-803
5th row700-815
ValueCountFrequency (%)
701-816 9
 
4.1%
704-940 7
 
3.2%
703-802 7
 
3.2%
701-827 6
 
2.8%
701-808 6
 
2.8%
703-806 5
 
2.3%
703-814 5
 
2.3%
704-915 5
 
2.3%
704-816 5
 
2.3%
704-834 5
 
2.3%
Other values (94) 158
72.5%
2023-10-21T05:46:13.959269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 334
21.9%
7 228
14.9%
- 218
14.3%
8 174
11.4%
1 133
 
8.7%
4 113
 
7.4%
2 103
 
6.7%
3 85
 
5.6%
6 54
 
3.5%
5 45
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1308
85.7%
Dash Punctuation 218
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 334
25.5%
7 228
17.4%
8 174
13.3%
1 133
 
10.2%
4 113
 
8.6%
2 103
 
7.9%
3 85
 
6.5%
6 54
 
4.1%
5 45
 
3.4%
9 39
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1526
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 334
21.9%
7 228
14.9%
- 218
14.3%
8 174
11.4%
1 133
 
8.7%
4 113
 
7.4%
2 103
 
6.7%
3 85
 
5.6%
6 54
 
3.5%
5 45
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1526
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 334
21.9%
7 228
14.9%
- 218
14.3%
8 174
11.4%
1 133
 
8.7%
4 113
 
7.4%
2 103
 
6.7%
3 85
 
5.6%
6 54
 
3.5%
5 45
 
2.9%

소재지전체주소
Text

Distinct237
Distinct (%)92.2%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2023-10-21T05:46:14.773279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length22.618677
Min length18

Characters and Unicode

Total characters5813
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

Unique218 ?
Unique (%)84.8%

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 257
23.0%
달서구 65
 
5.8%
동구 59
 
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 (299) 553
49.5%
2023-10-21T05:46:16.945924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1117
19.2%
구 511
 
8.8%
동 316
 
5.4%
대 286
 
4.9%
시 260
 
4.5%
역 257
 
4.4%
광 257
 
4.4%
- 244
 
4.2%
지 226
 
3.9%
2 222
 
3.8%
Other values (86) 2117
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3205
55.1%
Decimal Number 1238
 
21.3%
Space Separator 1117
 
19.2%
Dash Punctuation 244
 
4.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 511
15.9%
동 316
9.9%
대 286
8.9%
시 260
 
8.1%
역 257
 
8.0%
광 257
 
8.0%
지 226
 
7.1%
번 199
 
6.2%
서 111
 
3.5%
층 77
 
2.4%
Other values (71) 705
22.0%
Decimal Number
ValueCountFrequency (%)
2 222
17.9%
1 221
17.9%
3 177
14.3%
4 133
10.7%
5 108
8.7%
0 86
 
6.9%
9 74
 
6.0%
7 73
 
5.9%
6 72
 
5.8%
8 72
 
5.8%
Space Separator
ValueCountFrequency (%)
1117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 244
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 3205
55.1%
Common 2608
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 511
15.9%
동 316
9.9%
대 286
8.9%
시 260
 
8.1%
역 257
 
8.0%
광 257
 
8.0%
지 226
 
7.1%
번 199
 
6.2%
서 111
 
3.5%
층 77
 
2.4%
Other values (71) 705
22.0%
Common
ValueCountFrequency (%)
1117
42.8%
- 244
 
9.4%
2 222
 
8.5%
1 221
 
8.5%
3 177
 
6.8%
4 133
 
5.1%
5 108
 
4.1%
0 86
 
3.3%
9 74
 
2.8%
7 73
 
2.8%
Other values (5) 153
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3205
55.1%
ASCII 2608
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1117
42.8%
- 244
 
9.4%
2 222
 
8.5%
1 221
 
8.5%
3 177
 
6.8%
4 133
 
5.1%
5 108
 
4.1%
0 86
 
3.3%
9 74
 
2.8%
7 73
 
2.8%
Other values (5) 153
 
5.9%
Hangul
ValueCountFrequency (%)
구 511
15.9%
동 316
9.9%
대 286
8.9%
시 260
 
8.1%
역 257
 
8.0%
광 257
 
8.0%
지 226
 
7.1%
번 199
 
6.2%
서 111
 
3.5%
층 77
 
2.4%
Other values (71) 705
22.0%

도로명전체주소
Text

MISSING 

Distinct231
Distinct (%)94.3%
Missing13
Missing (%)5.0%
Memory size2.1 KiB
2023-10-21T05:46:17.970862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length25.530612
Min length21

Characters and Unicode

Total characters6255
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

Unique217 ?
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 245
 
19.4%
달서구 63
 
5.0%
동구 59
 
4.7%
서구 46
 
3.6%
북구 31
 
2.5%
남구 24
 
1.9%
비산동 19
 
1.5%
달서로 18
 
1.4%
내당동 15
 
1.2%
대명동 14
 
1.1%
Other values (356) 730
57.8%
2023-10-21T05:46:19.986541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1138
18.2%
구 529
 
8.5%
동 346
 
5.5%
대 322
 
5.1%
시 249
 
4.0%
광 245
 
3.9%
역 245
 
3.9%
( 244
 
3.9%
로 244
 
3.9%
) 244
 
3.9%
Other values (116) 2449
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3614
57.8%
Space Separator 1138
 
18.2%
Decimal Number 876
 
14.0%
Open Punctuation 244
 
3.9%
Close Punctuation 244
 
3.9%
Other Punctuation 101
 
1.6%
Dash Punctuation 38
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 529
14.6%
동 346
 
9.6%
대 322
 
8.9%
시 249
 
6.9%
광 245
 
6.8%
역 245
 
6.8%
로 244
 
6.8%
서 149
 
4.1%
달 108
 
3.0%
층 94
 
2.6%
Other values (101) 1083
30.0%
Decimal Number
ValueCountFrequency (%)
1 184
21.0%
2 162
18.5%
3 113
12.9%
5 92
10.5%
4 81
9.2%
6 60
 
6.8%
8 56
 
6.4%
7 47
 
5.4%
0 42
 
4.8%
9 39
 
4.5%
Space Separator
ValueCountFrequency (%)
1138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 244
100.0%
Other Punctuation
ValueCountFrequency (%)
, 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3614
57.8%
Common 2641
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 529
14.6%
동 346
 
9.6%
대 322
 
8.9%
시 249
 
6.9%
광 245
 
6.8%
역 245
 
6.8%
로 244
 
6.8%
서 149
 
4.1%
달 108
 
3.0%
층 94
 
2.6%
Other values (101) 1083
30.0%
Common
ValueCountFrequency (%)
1138
43.1%
( 244
 
9.2%
) 244
 
9.2%
1 184
 
7.0%
2 162
 
6.1%
3 113
 
4.3%
, 101
 
3.8%
5 92
 
3.5%
4 81
 
3.1%
6 60
 
2.3%
Other values (5) 222
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3614
57.8%
ASCII 2641
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1138
43.1%
( 244
 
9.2%
) 244
 
9.2%
1 184
 
7.0%
2 162
 
6.1%
3 113
 
4.3%
, 101
 
3.8%
5 92
 
3.5%
4 81
 
3.1%
6 60
 
2.3%
Other values (5) 222
 
8.4%
Hangul
ValueCountFrequency (%)
구 529
14.6%
동 346
 
9.6%
대 322
 
8.9%
시 249
 
6.9%
광 245
 
6.8%
역 245
 
6.8%
로 244
 
6.8%
서 149
 
4.1%
달 108
 
3.0%
층 94
 
2.6%
Other values (101) 1083
30.0%

도로명우편번호
Text

MISSING 

Distinct62
Distinct (%)72.1%
Missing172
Missing (%)66.7%
Memory size2.1 KiB
2023-10-21T05:46:20.852494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3953488
Min length5

Characters and Unicode

Total characters464
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

Unique45 ?
Unique (%)52.3%

Sample

1st row700-422
2nd row41908
3rd row41968
4th row700-320
5th row41918
ValueCountFrequency (%)
42612 6
 
7.0%
41560 3
 
3.5%
41812 3
 
3.5%
41557 3
 
3.5%
41251 2
 
2.3%
42693 2
 
2.3%
41142 2
 
2.3%
41447 2
 
2.3%
41921 2
 
2.3%
42197 2
 
2.3%
Other values (52) 59
68.6%
2023-10-21T05:46:22.527140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 111
23.9%
1 75
16.2%
2 69
14.9%
0 42
 
9.1%
5 31
 
6.7%
7 28
 
6.0%
6 24
 
5.2%
8 24
 
5.2%
9 23
 
5.0%
3 20
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 447
96.3%
Dash Punctuation 17
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 111
24.8%
1 75
16.8%
2 69
15.4%
0 42
 
9.4%
5 31
 
6.9%
7 28
 
6.3%
6 24
 
5.4%
8 24
 
5.4%
9 23
 
5.1%
3 20
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 464
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 111
23.9%
1 75
16.2%
2 69
14.9%
0 42
 
9.1%
5 31
 
6.7%
7 28
 
6.0%
6 24
 
5.2%
8 24
 
5.2%
9 23
 
5.0%
3 20
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 464
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 111
23.9%
1 75
16.2%
2 69
14.9%
0 42
 
9.1%
5 31
 
6.7%
7 28
 
6.0%
6 24
 
5.2%
8 24
 
5.2%
9 23
 
5.0%
3 20
 
4.3%

사업장명
Text

Distinct225
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-10-21T05:46:24.234190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.5658915
Min length2

Characters and Unicode

Total characters1694
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

Unique201 ?
Unique (%)77.9%

Sample

1st row영호무도학원
2nd row핑크랑무도학원
3rd row세진무도학원
4th row송림무도학원
5th row대화무도학원
ValueCountFrequency (%)
무도학원 16
 
5.6%
강혜란무도학원 5
 
1.7%
현대무도학원 5
 
1.7%
명성무도학원 3
 
1.0%
성당무도학원 3
 
1.0%
한일무도학원 3
 
1.0%
댄스스포츠 3
 
1.0%
반고개무도학원 3
 
1.0%
반야월무도학원 2
 
0.7%
댄스학원 2
 
0.7%
Other values (224) 243
84.4%
2023-10-21T05:46:27.506205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 202
 
11.9%
학 193
 
11.4%
도 191
 
11.3%
무 186
 
11.0%
스 127
 
7.5%
댄 61
 
3.6%
츠 51
 
3.0%
포 51
 
3.0%
30
 
1.8%
동 20
 
1.2%
Other values (183) 582
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1642
96.9%
Space Separator 30
 
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 202
 
12.3%
학 193
 
11.8%
도 191
 
11.6%
무 186
 
11.3%
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) 541
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 (%)
30
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 1642
96.9%
Common 39
 
2.3%
Latin 13
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 202
 
12.3%
학 193
 
11.8%
도 191
 
11.6%
무 186
 
11.3%
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) 541
32.9%
Common
ValueCountFrequency (%)
30
76.9%
2 3
 
7.7%
& 2
 
5.1%
5 1
 
2.6%
1 1
 
2.6%
) 1
 
2.6%
( 1
 
2.6%
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 1642
96.9%
ASCII 52
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 202
 
12.3%
학 193
 
11.8%
도 191
 
11.6%
무 186
 
11.3%
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) 541
32.9%
ASCII
ValueCountFrequency (%)
30
57.7%
J 4
 
7.7%
K 4
 
7.7%
S 3
 
5.8%
2 3
 
5.8%
& 2
 
3.8%
5 1
 
1.9%
1 1
 
1.9%
Y 1
 
1.9%
O 1
 
1.9%
Other values (2) 2
 
3.8%

최종수정시점
Date

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2003-01-15 17:06:56
Maximum2023-09-27 10:52:40
2023-10-21T05:46:28.725718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:46:30.036264image/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 size2.1 KiB
I
177 
U
81 

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 177
68.6%
U 81
31.4%

Length

2023-10-21T05:46:31.208515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:46:31.567839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 177
68.6%
u 81
31.4%

데이터갱신일자
Date

Distinct77
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-09-29 02:40:00
2023-10-21T05:46:32.180376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:46:33.638043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct198
Distinct (%)78.9%
Missing7
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean342923.14
Minimum330376.07
Maximum354441.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-10-21T05:46:34.464834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330376.07
5-th percentile335963.84
Q1340398.85
median342050.45
Q3346163.94
95-th percentile348644.42
Maximum354441.6
Range24065.534
Interquartile range (IQR)5765.0873

Descriptive statistics

Standard deviation4083.7716
Coefficient of variation (CV)0.011908708
Kurtosis0.59554182
Mean342923.14
Median Absolute Deviation (MAD)2411.7051
Skewness0.31581992
Sum86073707
Variance16677190
MonotonicityNot monotonic
2023-10-21T05:46:35.218635image/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
 
1.6%
348644.422813612 4
 
1.6%
340582.81104844 3
 
1.2%
339638.7472774 3
 
1.2%
338749.058511883 3
 
1.2%
346892.942619975 3
 
1.2%
340805.481711564 2
 
0.8%
341793.798886706 2
 
0.8%
Other values (188) 217
84.1%
(Missing) 7
 
2.7%
ValueCountFrequency (%)
330376.065263143 2
0.8%
334549.536990141 1
 
0.4%
335841.1142484 1
 
0.4%
335892.027269619 2
0.8%
335904.626594615 1
 
0.4%
335921.019181309 4
1.6%
335952.866799062 2
0.8%
335974.805125957 1
 
0.4%
335976.252488121 1
 
0.4%
336506.557873137 1
 
0.4%
ValueCountFrequency (%)
354441.599326408 1
0.4%
354072.130645894 1
0.4%
354031.721905774 2
0.8%
353764.338509825 1
0.4%
353667.461130308 1
0.4%
353512.819094368 1
0.4%
352663.522946133 1
0.4%
351453.246508324 2
0.8%
350381.105340231 1
0.4%
350324.186886976 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct198
Distinct (%)78.9%
Missing7
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean263907.39
Minimum245171.87
Maximum305044.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-10-21T05:46:35.919031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245171.87
5-th percentile258283.27
Q1262118.12
median264284.06
Q3265584.79
95-th percentile267234.77
Maximum305044.11
Range59872.24
Interquartile range (IQR)3466.6711

Descriptive statistics

Standard deviation4208.4357
Coefficient of variation (CV)0.015946638
Kurtosis38.727803
Mean263907.39
Median Absolute Deviation (MAD)1805.9325
Skewness3.2108301
Sum66240756
Variance17710931
MonotonicityNot monotonic
2023-10-21T05:46:36.834663image/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
 
1.6%
266825.726401877 4
 
1.6%
263619.823875988 3
 
1.2%
258034.934254348 3
 
1.2%
261141.544145696 3
 
1.2%
264716.87017094 3
 
1.2%
263288.350504281 2
 
0.8%
265194.915272771 2
 
0.8%
Other values (188) 217
84.1%
(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 size2.1 KiB
무도학원업
258 

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 258
100.0%

Length

2023-10-21T05:46:37.661766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:46:38.262751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 258
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
사립
258 

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 258
100.0%

Length

2023-10-21T05:46:38.803104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:46:39.154604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 258
100.0%

보험가입여부코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
96 
<NA>
95 
Y
55 
1
12 

Length

Max length4
Median length1
Mean length2.1046512
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 96
37.2%
<NA> 95
36.8%
Y 55
21.3%
1 12
 
4.7%

Length

2023-10-21T05:46:39.783118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:46:40.242556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 96
37.2%
na 95
36.8%
y 55
21.3%
1 12
 
4.7%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
218 
0
39 
1
 
1

Length

Max length4
Median length4
Mean length3.5348837
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> 218
84.5%
0 39
 
15.1%
1 1
 
0.4%

Length

2023-10-21T05:46:40.946338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:46:41.430202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 218
84.5%
0 39
 
15.1%
1 1
 
0.4%

건축물동수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
204 
0
38 
1
 
15
2
 
1

Length

Max length4
Median length4
Mean length3.372093
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> 204
79.1%
0 38
 
14.7%
1 15
 
5.8%
2 1
 
0.4%

Length

2023-10-21T05:46:42.058476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:46:42.564009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 204
79.1%
0 38
 
14.7%
1 15
 
5.8%
2 1
 
0.4%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)70.9%
Missing148
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean480.43245
Minimum0
Maximum8593.94
Zeros29
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-10-21T05:46:43.312012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median113.455
Q3433.245
95-th percentile1716.56
Maximum8593.94
Range8593.94
Interquartile range (IQR)433.245

Descriptive statistics

Standard deviation1107.7992
Coefficient of variation (CV)2.3058376
Kurtosis33.541759
Mean480.43245
Median Absolute Deviation (MAD)113.455
Skewness5.3196975
Sum52847.57
Variance1227219.1
MonotonicityNot monotonic
2023-10-21T05:46:43.988286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
 
11.2%
413.22 3
 
1.2%
1649.9 2
 
0.8%
457.58 2
 
0.8%
204.7 1
 
0.4%
105.27 1
 
0.4%
264.61 1
 
0.4%
344.34 1
 
0.4%
153.6 1
 
0.4%
139.32 1
 
0.4%
Other values (68) 68
26.4%
(Missing) 148
57.4%
ValueCountFrequency (%)
0.0 29
11.2%
66.0 1
 
0.4%
66.12 1
 
0.4%
66.5 1
 
0.4%
67.38 1
 
0.4%
67.43 1
 
0.4%
68.0 1
 
0.4%
69.6 1
 
0.4%
71.76 1
 
0.4%
72.98 1
 
0.4%
ValueCountFrequency (%)
8593.94 1
0.4%
6496.29 1
0.4%
2591.17 1
0.4%
2328.45 1
0.4%
1808.95 1
0.4%
1771.1 1
0.4%
1649.9 2
0.8%
1595.7 1
0.4%
1524.0 1
0.4%
1368.72 1
0.4%

회원모집총인원
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
219 
0
39 

Length

Max length4
Median length4
Mean length3.5465116
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> 219
84.9%
0 39
 
15.1%

Length

2023-10-21T05:46:44.718983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:46:45.326418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 219
84.9%
0 39
 
15.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
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>
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