Overview

Dataset statistics

Number of variables30
Number of observations32
Missing cells184
Missing cells (%)19.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory263.0 B

Variable types

Numeric9
Categorical12
Unsupported5
Text3
DateTime1

Dataset

Description6270000_대구광역시_09_28_07_P_석유및석유대체연료판매업체_3월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000084749&dataSetDetailId=DDI_0000084816&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
개방자치단체코드 has constant value ""Constant
최종수정시점 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
데이터갱신일자 has constant value ""Constant
폐업일자 is highly imbalanced (79.9%)Imbalance
인허가취소일자 has 32 (100.0%) missing valuesMissing
휴업시작일자 has 32 (100.0%) missing valuesMissing
휴업종료일자 has 32 (100.0%) missing valuesMissing
재개업일자 has 32 (100.0%) missing valuesMissing
소재지전화 has 2 (6.2%) missing valuesMissing
소재지면적 has 32 (100.0%) missing valuesMissing
소재지우편번호 has 1 (3.1%) missing valuesMissing
도로명전체주소 has 1 (3.1%) missing valuesMissing
도로명우편번호 has 12 (37.5%) missing valuesMissing
자본금 has 8 (25.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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

Reproduction

Analysis started2024-04-20 12:42:11.746485
Analysis finished2024-04-20 12:42:12.316595
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-20T21:42:12.424177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2024-04-20T21:42:12.779800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size384.0 B
석유및석유대체연료판매업체
32 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
석유및석유대체연료판매업체 32
100.0%

Length

2024-04-20T21:42:13.094903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:42:13.286198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
석유및석유대체연료판매업체 32
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size384.0 B
09_28_07_P
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_28_07_P
2nd row09_28_07_P
3rd row09_28_07_P
4th row09_28_07_P
5th row09_28_07_P

Common Values

ValueCountFrequency (%)
09_28_07_P 32
100.0%

Length

2024-04-20T21:42:13.456740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:42:13.633125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_07_p 32
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size384.0 B
6270000
32 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6270000
2nd row6270000
3rd row6270000
4th row6270000
5th row6270000

Common Values

ValueCountFrequency (%)
6270000 32
100.0%

Length

2024-04-20T21:42:13.801155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:42:13.967551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 32
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0062208 × 1017
Minimum1.978627 × 1017
Maximum2.019627 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-20T21:42:14.147934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.978627 × 1017
5-th percentile1.990177 × 1017
Q12.004627 × 1017
median2.007627 × 1017
Q32.009627 × 1017
95-th percentile2.015627 × 1017
Maximum2.019627 × 1017
Range4.1 × 1015
Interquartile range (IQR)5 × 1014

Descriptive statistics

Standard deviation8.4885478 × 1014
Coefficient of variation (CV)0.0042311135
Kurtosis5.9012761
Mean2.0062208 × 1017
Median Absolute Deviation (MAD)2.5 × 1014
Skewness-2.0991553
Sum6.4199064 × 1018
Variance7.2055444 × 1029
MonotonicityNot monotonic
2024-04-20T21:42:14.397083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
201062700006500001 1
 
3.1%
200662700006600001 1
 
3.1%
200462700006600001 1
 
3.1%
197862700006500001 1
 
3.1%
201562700006500001 1
 
3.1%
201562700006700001 1
 
3.1%
199962700006500002 1
 
3.1%
201062700006500002 1
 
3.1%
200462700006500001 1
 
3.1%
200762700006500001 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
197862700006500001 1
3.1%
197862700006500002 1
3.1%
199962700006500001 1
3.1%
199962700006500002 1
3.1%
200162700006700001 1
3.1%
200262700006500001 1
3.1%
200462700006500001 1
3.1%
200462700006600001 1
3.1%
200462700006600002 1
3.1%
200562700006600001 1
3.1%
ValueCountFrequency (%)
201962700006700001 1
3.1%
201562700006800001 1
3.1%
201562700006700001 1
3.1%
201562700006500001 1
3.1%
201162700006500001 1
3.1%
201062700006500002 1
3.1%
201062700006500001 1
3.1%
200962700006700002 1
3.1%
200962700006700001 1
3.1%
200962700006600001 1
3.1%

인허가일자
Real number (ℝ)

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20056334
Minimum19780117
Maximum20191204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-20T21:42:14.815976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19780117
5-th percentile19896118
Q120040931
median20070523
Q320090991
95-th percentile20150623
Maximum20191204
Range411087
Interquartile range (IQR)50059.75

Descriptive statistics

Standard deviation85020.367
Coefficient of variation (CV)0.0042390782
Kurtosis5.8833697
Mean20056334
Median Absolute Deviation (MAD)29469.5
Skewness-2.0917394
Sum6.4180267 × 108
Variance7.2284628 × 109
MonotonicityNot monotonic
2024-04-20T21:42:15.234894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20150213 2
 
6.2%
20100317 1
 
3.1%
20191204 1
 
3.1%
20041103 1
 
3.1%
19780117 1
 
3.1%
20151124 1
 
3.1%
19991221 1
 
3.1%
20100520 1
 
3.1%
20040713 1
 
3.1%
20070510 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
19780117 1
3.1%
19780125 1
3.1%
19991021 1
3.1%
19991221 1
3.1%
20010726 1
3.1%
20020516 1
3.1%
20040615 1
3.1%
20040713 1
3.1%
20041004 1
3.1%
20041103 1
3.1%
ValueCountFrequency (%)
20191204 1
3.1%
20151124 1
3.1%
20150213 2
6.2%
20110330 1
3.1%
20100520 1
3.1%
20100317 1
3.1%
20091231 1
3.1%
20090911 1
3.1%
20090804 1
3.1%
20090609 1
3.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size416.0 B
Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
3
20 
1
11 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 20
62.5%
1 11
34.4%
4 1
 
3.1%

Length

2024-04-20T21:42:15.644091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:42:15.972978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 20
62.5%
1 11
34.4%
4 1
 
3.1%

영업상태명
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
폐업
20 
영업/정상
11 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.40625
Min length2

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 20
62.5%
영업/정상 11
34.4%
취소/말소/만료/정지/중지 1
 
3.1%

Length

2024-04-20T21:42:16.508545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:42:16.882941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 20
62.5%
영업/정상 11
34.4%
취소/말소/만료/정지/중지 1
 
3.1%
Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
3
20 
7
11 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row2
2nd row7
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 20
62.5%
7 11
34.4%
2 1
 
3.1%

Length

2024-04-20T21:42:17.250078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:42:17.607210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 20
62.5%
7 11
34.4%
2 1
 
3.1%
Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
폐지
20 
영업개시
11 
등록취소
 
1

Length

Max length4
Median length2
Mean length2.75
Min length2

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row등록취소
2nd row영업개시
3rd row폐지
4th row폐지
5th row폐지

Common Values

ValueCountFrequency (%)
폐지 20
62.5%
영업개시 11
34.4%
등록취소 1
 
3.1%

Length

2024-04-20T21:42:18.001532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:42:18.415677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 20
62.5%
영업개시 11
34.4%
등록취소 1
 
3.1%

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size384.0 B
<NA>
31 
20120321
 
1

Length

Max length8
Median length4
Mean length4.125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
20120321 1
 
3.1%

Length

2024-04-20T21:42:18.714043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:42:18.905016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
20120321 1
 
3.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size416.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size416.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size416.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)90.0%
Missing2
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.3836307 × 108
Minimum5.326215 × 108
Maximum5.9982634 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-20T21:42:19.121129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.326215 × 108
5-th percentile5.3325128 × 108
Q15.336449 × 108
median5.3583114 × 108
Q35.3964164 × 108
95-th percentile5.3983527 × 108
Maximum5.9982634 × 108
Range67204833
Interquartile range (IQR)5996738.8

Descriptive statistics

Standard deviation11880730
Coefficient of variation (CV)0.022068248
Kurtosis27.061075
Mean5.3836307 × 108
Median Absolute Deviation (MAD)2270947
Skewness5.0857999
Sum1.6150892 × 1010
Variance1.4115174 × 1014
MonotonicityNot monotonic
2024-04-20T21:42:19.412518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
539650982 2
 
6.2%
535817188 2
 
6.2%
539645188 2
 
6.2%
536225832 1
 
3.1%
533534700 1
 
3.1%
534305180 1
 
3.1%
539630983 1
 
3.1%
535535757 1
 
3.1%
533549063 1
 
3.1%
599826338 1
 
3.1%
Other values (17) 17
53.1%
(Missing) 2
 
6.2%
ValueCountFrequency (%)
532621505 1
3.1%
533117738 1
3.1%
533414500 1
3.1%
533415252 1
3.1%
533534700 1
3.1%
533549063 1
3.1%
533571333 1
3.1%
533581479 1
3.1%
533835155 1
3.1%
534243395 1
3.1%
ValueCountFrequency (%)
599826338 1
3.1%
539847711 1
3.1%
539820064 1
3.1%
539658051 1
3.1%
539650982 2
6.2%
539645188 2
6.2%
539630983 1
3.1%
537930953 1
3.1%
537835125 1
3.1%
537626044 1
3.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size416.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)77.4%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean681934.23
Minimum41521
Maximum706825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-20T21:42:19.630064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41521
5-th percentile700631.5
Q1701835
median702872
Q3704190
95-th percentile706145
Maximum706825
Range665304
Interquartile range (IQR)2355

Descriptive statistics

Standard deviation118866.81
Coefficient of variation (CV)0.17430832
Kurtosis30.987177
Mean681934.23
Median Absolute Deviation (MAD)1318
Skewness-5.5660903
Sum21139961
Variance1.4129318 × 1010
MonotonicityNot monotonic
2024-04-20T21:42:19.841616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
704190 4
 
12.5%
701835 3
 
9.4%
703825 2
 
6.2%
701140 2
 
6.2%
704743 1
 
3.1%
702815 1
 
3.1%
700842 1
 
3.1%
703830 1
 
3.1%
702872 1
 
3.1%
701804 1
 
3.1%
Other values (14) 14
43.8%
ValueCountFrequency (%)
41521 1
 
3.1%
700421 1
 
3.1%
700842 1
 
3.1%
701140 2
6.2%
701250 1
 
3.1%
701804 1
 
3.1%
701835 3
9.4%
702290 1
 
3.1%
702814 1
 
3.1%
702815 1
 
3.1%
ValueCountFrequency (%)
706825 1
 
3.1%
706220 1
 
3.1%
706070 1
 
3.1%
704910 1
 
3.1%
704901 1
 
3.1%
704743 1
 
3.1%
704190 4
12.5%
704130 1
 
3.1%
703830 1
 
3.1%
703829 1
 
3.1%
Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-20T21:42:20.629104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length26.5
Mean length24.5
Min length19

Characters and Unicode

Total characters784
Distinct characters54
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row대구광역시 달서구 장동 18번지 1호
2nd row대구광역시 북구 검단동 1237번지
3rd row대구광역시 서구 비산7동 2042번지 1호
4th row대구광역시 동구 신평동 179번지 5호
5th row대구광역시 동구 용계동 878번지 185호
ValueCountFrequency (%)
대구광역시 32
20.0%
달서구 8
 
5.0%
북구 8
 
5.0%
동구 7
 
4.4%
1호 6
 
3.8%
5호 5
 
3.1%
용계동 4
 
2.5%
서구 4
 
2.5%
장동 4
 
2.5%
878번지 3
 
1.9%
Other values (61) 79
49.4%
2024-04-20T21:42:21.926788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
24.2%
64
 
8.2%
41
 
5.2%
1 36
 
4.6%
33
 
4.2%
33
 
4.2%
33
 
4.2%
32
 
4.1%
32
 
4.1%
32
 
4.1%
Other values (44) 258
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 432
55.1%
Space Separator 190
24.2%
Decimal Number 162
 
20.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
64
14.8%
41
9.5%
33
 
7.6%
33
 
7.6%
33
 
7.6%
32
 
7.4%
32
 
7.4%
32
 
7.4%
28
 
6.5%
12
 
2.8%
Other values (33) 92
21.3%
Decimal Number
ValueCountFrequency (%)
1 36
22.2%
3 18
11.1%
2 17
10.5%
5 17
10.5%
7 17
10.5%
0 16
9.9%
8 16
9.9%
9 10
 
6.2%
6 8
 
4.9%
4 7
 
4.3%
Space Separator
ValueCountFrequency (%)
190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 432
55.1%
Common 352
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
64
14.8%
41
9.5%
33
 
7.6%
33
 
7.6%
33
 
7.6%
32
 
7.4%
32
 
7.4%
32
 
7.4%
28
 
6.5%
12
 
2.8%
Other values (33) 92
21.3%
Common
ValueCountFrequency (%)
190
54.0%
1 36
 
10.2%
3 18
 
5.1%
2 17
 
4.8%
5 17
 
4.8%
7 17
 
4.8%
0 16
 
4.5%
8 16
 
4.5%
9 10
 
2.8%
6 8
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 432
55.1%
ASCII 352
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
54.0%
1 36
 
10.2%
3 18
 
5.1%
2 17
 
4.8%
5 17
 
4.8%
7 17
 
4.8%
0 16
 
4.5%
8 16
 
4.5%
9 10
 
2.8%
6 8
 
2.3%
Hangul
ValueCountFrequency (%)
64
14.8%
41
9.5%
33
 
7.6%
33
 
7.6%
33
 
7.6%
32
 
7.4%
32
 
7.4%
32
 
7.4%
28
 
6.5%
12
 
2.8%
Other values (33) 92
21.3%

도로명전체주소
Text

MISSING 

Distinct27
Distinct (%)87.1%
Missing1
Missing (%)3.1%
Memory size384.0 B
2024-04-20T21:42:22.718153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/