Overview

Dataset statistics

Number of variables44
Number of observations10000
Missing cells3372
Missing cells (%)0.8%
Duplicate rows43
Duplicate rows (%)0.4%
Total size in memory3.6 MiB
Average record size in memory375.0 B

Variable types

Text6
Categorical17
DateTime3
Numeric12
Unsupported6

Dataset

Description광주광역시 서구 옥외광고물관리시스템에 입력된 옥외광고물의 업소명, 광고물 표시, 도로명주소 등의 현황에 대한 내용입니다.
URLhttps://www.data.go.kr/data/15039698/fileData.do

Alerts

계획번호 has constant value ""Constant
Dataset has 43 (0.4%) duplicate rowsDuplicates
태그번호 is highly imbalanced (99.4%)Imbalance
광고물종류구분 is highly imbalanced (50.1%)Imbalance
조명 is highly imbalanced (56.9%)Imbalance
점용여부 is highly imbalanced (80.9%)Imbalance
지역용도 is highly imbalanced (62.1%)Imbalance
처리자 is highly imbalanced (65.8%)Imbalance
규격2(면) is highly imbalanced (91.5%)Imbalance
업종코드 is highly imbalanced (99.6%)Imbalance
세수구분 is highly imbalanced (77.2%)Imbalance
안전점검대상여부 is highly imbalanced (79.5%)Imbalance
장소별현황코드 is highly imbalanced (99.5%)Imbalance
유형별현황코드 is highly imbalanced (99.7%)Imbalance
수정일자 has 1449 (14.5%) missing valuesMissing
등록일자 has 470 (4.7%) missing valuesMissing
허가신고번호 has 1447 (14.5%) missing valuesMissing
면적(제곱미터) is highly skewed (γ1 = 35.22680641)Skewed
전수조사번호 is highly skewed (γ1 = -70.69036392)Skewed
지번부번 is an unsupported type, check if it needs cleaning or further analysisUnsupported
광고물종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
적법구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
불법구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
규격1(세로) is an unsupported type, check if it needs cleaning or further analysisUnsupported
양성화여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
규격2(가로) has 9767 (97.7%) zerosZeros
규격2(세로) has 9773 (97.7%) zerosZeros
규격(높이) has 9486 (94.9%) zerosZeros
도로점용비율 has 8936 (89.4%) zerosZeros

Reproduction

Analysis started2023-12-12 07:30:09.992472
Analysis finished2023-12-12 07:30:12.525391
Duration2.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유번호
Text

Distinct208
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:30:12.690651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length20.9998
Min length20

Characters and Unicode

Total characters209998
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)0.5%

Sample

1st row62022016012599900000
2nd row62022016041200000000
3rd row62022016041400000000
4th row62022016022299900000
5th row62022016020599900000
ValueCountFrequency (%)
62022016041400000000 259
 
2.6%
62022016040500000000 252
 
2.5%
62022016022499900000 250
 
2.5%
62022016041500000000 249
 
2.5%
62022016021199900000 237
 
2.4%
62022016020299900000 232
 
2.3%
62022016042100000000 229
 
2.3%
62022016041800000000 223
 
2.2%
62022016020599900000 221
 
2.2%
62022016040400000000 219
 
2.2%
Other values (198) 7629
76.3%
2023-12-12T16:30:13.141233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 95400
45.4%
2 36424
 
17.3%
6 20407
 
9.7%
1 19177
 
9.1%
9 16028
 
7.6%
9999
 
4.8%
4 5348
 
2.5%
3 2950
 
1.4%
5 1612
 
0.8%
7 1588
 
0.8%
Other values (2) 1065
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 199998
95.2%
Space Separator 9999
 
4.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 95400
47.7%
2 36424
 
18.2%
6 20407
 
10.2%
1 19177
 
9.6%
9 16028
 
8.0%
4 5348
 
2.7%
3 2950
 
1.5%
5 1612
 
0.8%
7 1588
 
0.8%
8 1064
 
0.5%
Space Separator
ValueCountFrequency (%)
9999
100.0%
Other Punctuation
ValueCountFrequency (%)
\ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209998
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 95400
45.4%
2 36424
 
17.3%
6 20407
 
9.7%
1 19177
 
9.1%
9 16028
 
7.6%
9999
 
4.8%
4 5348
 
2.5%
3 2950
 
1.4%
5 1612
 
0.8%
7 1588
 
0.8%
Other values (2) 1065
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 209998
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 95400
45.4%
2 36424
 
17.3%
6 20407
 
9.7%
1 19177
 
9.1%
9 16028
 
7.6%
9999
 
4.8%
4 5348
 
2.5%
3 2950
 
1.4%
5 1612
 
0.8%
7 1588
 
0.8%
Other values (2) 1065
 
0.5%

계획번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
A2022021801
10000 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA2022021801
2nd rowA2022021801
3rd rowA2022021801
4th rowA2022021801
5th rowA2022021801

Common Values

ValueCountFrequency (%)
A2022021801 10000
100.0%

Length

2023-12-12T16:30:13.332794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:13.438016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a2022021801 10000
100.0%

태그번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
6202
9990 
 
7
1
 
2
2
 
1

Length

Max length12
Median length4
Mean length4.0047
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row6202
2nd row6202
3rd row6202
4th row6202
5th row6202

Common Values

ValueCountFrequency (%)
6202 9990
99.9%
7
 
0.1%
1 2
 
< 0.1%
2 1
 
< 0.1%

Length

2023-12-12T16:30:13.564119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:13.709244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6202 9990
> 99.9%
1 2
 
< 0.1%
2 1
 
< 0.1%

조사일자
Date

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-02-01 00:00:00
Maximum2022-02-18 00:00:00
2023-12-12T16:30:13.814530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:30:13.932028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

수정일자
Date

MISSING 

Distinct517
Distinct (%)6.0%
Missing1449
Missing (%)14.5%
Memory size156.2 KiB
Minimum2016-01-18 00:00:00
Maximum2023-07-12 00:00:00
2023-12-12T16:30:14.094555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:30:14.286789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록일자
Date

MISSING 

Distinct109
Distinct (%)1.1%
Missing470
Missing (%)4.7%
Memory size156.2 KiB
Minimum2016-01-13 00:00:00
Maximum2022-05-31 00:00:00
2023-12-12T16:30:14.446580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:30:14.945036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct8340
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:30:15.252252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length13.6058
Min length1

Characters and Unicode

Total characters136058
Distinct characters955
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6926 ?
Unique (%)69.3%

Sample

1st row나들가게내방점
2nd row김성영이용원
3rd row샤또마들렌과자점
4th row바디스튜디오
5th row바다정보통신
ValueCountFrequency (%)
광주세정아울렛 11
 
0.1%
금호월드 9
 
0.1%
토이마켓 7
 
0.1%
아일랜드피시방 7
 
0.1%
럭키공인중개사 6
 
0.1%
스포랜드 6
 
0.1%
자연그리고콩머리 6
 
0.1%
신화노래연습장 6
 
0.1%
스카이노래연습장 6
 
0.1%
팡팡노래연습장 6
 
0.1%
Other values (7128) 9935
99.3%
2023-12-12T16:30:15.771007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74156
54.5%
이 1287
 
0.9%
스 1236
 
0.9%
점 1153
 
0.8%
원 1092
 
0.8%
사 1030
 
0.8%
리 924
 
0.7%
인 780
 
0.6%
어 775
 
0.6%
주 751
 
0.6%
Other values (945) 52874
38.9%

Most occurring categories

ValueCountFrequency (%)
Space Separator 74156
54.5%
Other Letter 61154
44.9%
Decimal Number 626
 
0.5%
Uppercase Letter 81
 
0.1%
Open Punctuation 14
 
< 0.1%
Close Punctuation 14
 
< 0.1%
Other Punctuation 8
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1287
 
2.1%
스 1236
 
2.0%
점 1153
 
1.9%
원 1092
 
1.8%
사 1030
 
1.7%
리 924
 
1.5%
인 780
 
1.3%
어 775
 
1.3%
주 751
 
1.2%
무 723
 
1.2%
Other values (908) 51403
84.1%
Uppercase Letter
ValueCountFrequency (%)
C 12
14.8%
B 10
12.3%
T 7
 
8.6%
J 6
 
7.4%
P 5
 
6.2%
M 5
 
6.2%
R 4
 
4.9%
W 4
 
4.9%
L 4
 
4.9%
K 3
 
3.7%
Other values (10) 21
25.9%
Decimal Number
ValueCountFrequency (%)
0 129
20.6%
2 112
17.9%
1 104
16.6%
5 77
12.3%
8 52
8.3%
7 42
 
6.7%
3 41
 
6.5%
4 29
 
4.6%
9 22
 
3.5%
6 18
 
2.9%
Other Punctuation
ValueCountFrequency (%)
& 5
62.5%
. 3
37.5%
Space Separator
ValueCountFrequency (%)
74156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 74822
55.0%
Hangul 61154
44.9%
Latin 82
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1287
 
2.1%
스 1236
 
2.0%
점 1153
 
1.9%
원 1092
 
1.8%
사 1030
 
1.7%
리 924
 
1.5%
인 780
 
1.3%
어 775
 
1.3%
주 751
 
1.2%
무 723
 
1.2%
Other values (908) 51403
84.1%
Latin
ValueCountFrequency (%)
C 12
14.6%
B 10
12.2%
T 7
 
8.5%
J 6
 
7.3%
P 5
 
6.1%
M 5
 
6.1%
R 4
 
4.9%
W 4
 
4.9%
L 4
 
4.9%
K 3
 
3.7%
Other values (11) 22
26.8%
Common
ValueCountFrequency (%)
74156
99.1%
0 129
 
0.2%
2 112
 
0.1%
1 104
 
0.1%
5 77
 
0.1%
8 52
 
0.1%
7 42
 
0.1%
3 41
 
0.1%
4 29
 
< 0.1%
9 22
 
< 0.1%
Other values (6) 58
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74904
55.1%
Hangul 61154
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74156
99.0%
0 129
 
0.2%
2 112
 
0.1%
1 104
 
0.1%
5 77
 
0.1%
8 52
 
0.1%
7 42
 
0.1%
3 41
 
0.1%
4 29
 
< 0.1%
9 22
 
< 0.1%
Other values (27) 140
 
0.2%
Hangul
ValueCountFrequency (%)
이 1287
 
2.1%
스 1236
 
2.0%
점 1153
 
1.9%
원 1092
 
1.8%
사 1030
 
1.7%
리 924
 
1.5%
인 780
 
1.3%
어 775
 
1.3%
주 751
 
1.2%
무 723
 
1.2%
Other values (908) 51403
84.1%

광고물표시내용
Text

Distinct8383
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:30:16.071981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length13.6368
Min length1

Characters and Unicode

Total characters136368
Distinct characters994
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7317 ?
Unique (%)73.2%

Sample

1st row나들가게선진협동조합
2nd row김성영이용원
3rd row샤또마들렌과자점
4th row바디스튜디오
5th row바다정보통신
ValueCountFrequency (%)
사인볼 189
 
1.9%
전광판 180
 
1.8%
약 17
 
0.2%
티월드 15
 
0.1%
부동산 10
 
0.1%
세탁 8
 
0.1%
세븐일레븐 8
 
0.1%
아일랜드피시방 7
 
0.1%
노래방 7
 
0.1%
까투리 7
 
0.1%
Other values (7405) 9561
95.5%
2023-12-12T16:30:16.515401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77703
57.0%
스 1186
 
0.9%
이 1184
 
0.9%
사 1025
 
0.8%
원 979
 
0.7%
인 870
 
0.6%
리 845
 
0.6%
점 841
 
0.6%
아 675
 
0.5%
광 673
 
0.5%
Other values (984) 50387
36.9%

Most occurring categories

ValueCountFrequency (%)
Space Separator 77703
57.0%
Other Letter 57795
42.4%
Decimal Number 650
 
0.5%
Uppercase Letter 153
 
0.1%
Lowercase Letter 32
 
< 0.1%
Other Punctuation 15
 
< 0.1%
Open Punctuation 9
 
< 0.1%
Close Punctuation 9
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1186
 
2.1%
이 1184
 
2.0%
사 1025
 
1.8%
원 979
 
1.7%
인 870
 
1.5%
리 845
 
1.5%
점 841
 
1.5%
아 675
 
1.2%
광 673
 
1.2%
어 645
 
1.1%
Other values (923) 48872
84.6%
Uppercase Letter
ValueCountFrequency (%)
B 15
 
9.8%
C 15
 
9.8%
S 12
 
7.8%
T 10
 
6.5%
L 10
 
6.5%
M 8
 
5.2%
K 8
 
5.2%
O 8
 
5.2%
G 8
 
5.2%
P 7
 
4.6%
Other values (15) 52
34.0%
Lowercase Letter
ValueCountFrequency (%)
n 5
15.6%
l 3
9.4%
a 3
9.4%
e 3
9.4%
h 3
9.4%
o 2
 
6.2%
t 2
 
6.2%
i 2
 
6.2%
s 2
 
6.2%
r 1
 
3.1%
Other values (6) 6
18.8%
Decimal Number
ValueCountFrequency (%)
0 144
22.2%
2 110
16.9%
1 102
15.7%
5 81
12.5%
8 53
 
8.2%
3 43
 
6.6%
7 41
 
6.3%
4 36
 
5.5%
9 22
 
3.4%
6 18
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 5
33.3%
& 5
33.3%
! 2
 
13.3%
; 1
 
6.7%
% 1
 
6.7%
: 1
 
6.7%
Space Separator
ValueCountFrequency (%)
77703
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 78388
57.5%
Hangul 57795
42.4%
Latin 185
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1186
 
2.1%
이 1184
 
2.0%
사 1025
 
1.8%
원 979
 
1.7%
인 870
 
1.5%
리 845
 
1.5%
점 841
 
1.5%
아 675
 
1.2%
광 673
 
1.2%
어 645
 
1.1%
Other values (923) 48872
84.6%
Latin
ValueCountFrequency (%)
B 15
 
8.1%
C 15
 
8.1%
S 12
 
6.5%
T 10
 
5.4%
L 10
 
5.4%
M 8
 
4.3%
K 8
 
4.3%
O 8
 
4.3%
G 8
 
4.3%
P 7
 
3.8%
Other values (31) 84
45.4%
Common
ValueCountFrequency (%)
77703
99.1%
0 144
 
0.2%
2 110
 
0.1%
1 102
 
0.1%
5 81
 
0.1%
8 53
 
0.1%
3 43
 
0.1%
7 41
 
0.1%
4 36
 
< 0.1%
9 22
 
< 0.1%
Other values (10) 53
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78573
57.6%
Hangul 57795
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77703
98.9%
0 144
 
0.2%
2 110
 
0.1%
1 102
 
0.1%
5 81
 
0.1%
8 53
 
0.1%
3 43
 
0.1%
7 41
 
0.1%
4 36
 
< 0.1%
9 22
 
< 0.1%
Other values (51) 238
 
0.3%
Hangul
ValueCountFrequency (%)
스 1186
 
2.1%
이 1184
 
2.0%
사 1025
 
1.8%
원 979
 
1.7%
인 870
 
1.5%
리 845
 
1.5%
점 841
 
1.5%
아 675
 
1.2%
광 673
 
1.2%
어 645
 
1.1%
Other values (923) 48872
84.6%

우편번호
Real number (ℝ)

Distinct167
Distinct (%)1.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean61979.444
Minimum61900
Maximum62077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:30:16.727667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61900
5-th percentile61903
Q161944
median61970
Q362021
95-th percentile62060
Maximum62077
Range177
Interquartile range (IQR)77

Descriptive statistics

Standard deviation48.97423
Coefficient of variation (CV)0.00079016891
Kurtosis-1.0313929
Mean61979.444
Median Absolute Deviation (MAD)39
Skewness0.17815887
Sum6.1973246 × 108
Variance2398.4752
MonotonicityNot monotonic
2023-12-12T16:30:16.945424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61965 304
 
3.0%
61903 278
 
2.8%
61948 257
 
2.6%
62009 255
 
2.5%
62058 246
 
2.5%
61949 229
 
2.3%
61963 221
 
2.2%
61966 204
 
2.0%
62014 195
 
1.9%
62026 178
 
1.8%
Other values (157) 7632
76.3%
ValueCountFrequency (%)
61900 93
 
0.9%
61901 134
1.3%
61902 108
 
1.1%
61903 278
2.8%
61904 34
 
0.3%
61905 27
 
0.3%
61906 21
 
0.2%
61907 24
 
0.2%
61908 81
 
0.8%
61909 4
 
< 0.1%
ValueCountFrequency (%)
62077 2
 
< 0.1%
62076 6
 
0.1%
62075 2
 
< 0.1%
62072 47
 
0.5%
62071 45
 
0.4%
62070 34
 
0.3%
62069 7
 
0.1%
62068 160
1.6%
62067 13
 
0.1%
62066 41
 
0.4%

법정동코드
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.9140121 × 109
Minimum2.9140104 × 109
Maximum2.9140133 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:30:17.084956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.9140104 × 109
5-th percentile2.9140106 × 109
Q12.9140118 × 109
median2.914012 × 109
Q32.9140128 × 109
95-th percentile2.9140133 × 109
Maximum2.9140133 × 109
Range2900
Interquartile range (IQR)1000

Descriptive statistics

Standard deviation726.72333
Coefficient of variation (CV)2.4938926 × 10-7
Kurtosis-0.074641281
Mean2.9140121 × 109
Median Absolute Deviation (MAD)200
Skewness-0.29948839
Sum2.9137207 × 1013
Variance528126.8
MonotonicityNot monotonic
2023-12-12T16:30:17.230603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2914012000 1804
18.0%
2914011800 1642
16.4%
2914011900 1568
15.7%
2914012800 1171
11.7%
2914013000 1109
11.1%
2914010600 631
 
6.3%
2914013300 524
 
5.2%
2914011500 485
 
4.9%
2914010400 303
 
3.0%
2914011600 226
 
2.3%
Other values (6) 536
 
5.4%
ValueCountFrequency (%)
2914010400 303
 
3.0%
2914010600 631
 
6.3%
2914011500 485
 
4.9%
2914011600 226
 
2.3%
2914011700 70
 
0.7%
2914011800 1642
16.4%
2914011900 1568
15.7%
2914012000 1804
18.0%
2914012100 197
 
2.0%
2914012500 2
 
< 0.1%
ValueCountFrequency (%)
2914013300 524
 
5.2%
2914013200 129
 
1.3%
2914013100 125
 
1.2%
2914013000 1109
11.1%
2914012900 13
 
0.1%
2914012800 1171
11.7%
2914012500 2
 
< 0.1%
2914012100 197
 
2.0%
2914012000 1804
18.0%
2914011900 1568
15.7%

행정동코드
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.914076 × 109
Minimum2.9140115 × 109
Maximum2.914084 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:30:17.413412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.9140115 × 109
5-th percentile2.914065 × 109
Q12.914074 × 109
median2.9140745 × 109
Q32.9140821 × 109
95-th percentile2.914084 × 109
Maximum2.914084 × 109
Range72500
Interquartile range (IQR)8100

Descriptive statistics

Standard deviation5806.8665
Coefficient of variation (CV)1.9926956 × 10-6
Kurtosis3.0246185
Mean2.914076 × 109
Median Absolute Deviation (MAD)1500
Skewness-1.0678225
Sum2.914076 × 1013
Variance33719698
MonotonicityNot monotonic
2023-12-12T16:30:17.566376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2914074000 1930
19.3%
2914074500 1713
17.1%
2914076000 1693
16.9%
2914083000 1171
11.7%
2914082100 1030
10.3%
2914065000 631
 
6.3%
2914084000 524
 
5.2%
2914073000 485
 
4.9%
2914057500 303
 
3.0%
2914080000 269
 
2.7%
Other values (7) 251
 
2.5%
ValueCountFrequency (%)
2914011500 1
 
< 0.1%
2914057500 303
 
3.0%
2914065000 631
 
6.3%
2914073000 485
 
4.9%
2914074000 1930
19.3%
2914074500 1713
17.1%
2914075100 56
 
0.6%
2914075200 76
 
0.8%
2914076000 1693
16.9%
2914077000 19
 
0.2%
ValueCountFrequency (%)
2914084000 524
 
5.2%
2914083000 1171
11.7%
2914082400 79
 
0.8%
2914082100 1030
10.3%
2914080000 269
 
2.7%
2914079000 9
 
0.1%
2914078000 11
 
0.1%
2914077000 19
 
0.2%
2914076000 1693
16.9%
2914075200 76
 
0.8%

시도명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
광주
5427 
광주
4573 

Length

Max length18
Median length18
Mean length10.6832
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주 5427
54.3%
광주 4573
45.7%

Length

2023-12-12T16:30:17.714864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:17.843440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주 10000
100.0%

시군구명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
서구
5427 
서구
4573 

Length

Max length18
Median length18
Mean length10.6832
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 5427
54.3%
서구 4573
45.7%

Length

2023-12-12T16:30:17.977512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:18.101937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 10000
100.0%

읍면동명
Categorical

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
치평동
977 
쌍촌동
879 
화정동
873 
치평동
827 
쌍촌동
763 
Other values (27)
5681 

Length

Max length28
Median length27
Mean length16.0265
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row내방동
2nd row금호동
3rd row금호동
4th row치평동
5th row화정동

Common Values

ValueCountFrequency (%)
치평동 977
 
9.8%
쌍촌동 879
 
8.8%
화정동 873
 
8.7%
치평동 827
 
8.3%
쌍촌동 763
 
7.6%
화정동 695
 
7.0%
풍암동 638
 
6.4%
금호동 597
 
6.0%
풍암동 533
 
5.3%
금호동 512
 
5.1%
Other values (22) 2706
27.1%

Length

2023-12-12T16:30:18.247245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
치평동 1804
18.0%
쌍촌동 1642
16.4%
화정동 1568
15.7%
풍암동 1171
11.7%
금호동 1109
11.1%
농성동 631
 
6.3%
동천동 524
 
5.2%
광천동 486
 
4.9%
양동 303
 
3.0%
유촌동 226
 
2.3%
Other values (6) 536
 
5.4%

지번본번
Real number (ℝ)

Distinct1011
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean821.4169
Minimum2
Maximum1612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:30:18.389665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile81
Q1621
median865
Q31168
95-th percentile1301
Maximum1612
Range1610
Interquartile range (IQR)547

Descriptive statistics

Standard deviation375.65733
Coefficient of variation (CV)0.45732847
Kurtosis-0.63905093
Mean821.4169
Median Absolute Deviation (MAD)275
Skewness-0.58275549
Sum8214169
Variance141118.43
MonotonicityNot monotonic
2023-12-12T16:30:18.546862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 101
 
1.0%
1168 98
 
1.0%
1228 95
 
0.9%
1222 90
 
0.9%
650 80
 
0.8%
766 73
 
0.7%
1187 72
 
0.7%
239 69
 
0.7%
865 69
 
0.7%
918 66
 
0.7%
Other values (1001) 9187
91.9%
ValueCountFrequency (%)
2 5
 
0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
5 18
0.2%
6 3
 
< 0.1%
7 7
 
0.1%
8 4
 
< 0.1%
10 3
 
< 0.1%
11 3
 
< 0.1%
12 17
0.2%
ValueCountFrequency (%)
1612 1
 
< 0.1%
1610 1
 
< 0.1%
1567 1
 
< 0.1%
1561 1
 
< 0.1%
1549 1
 
< 0.1%
1529 2
 
< 0.1%
1480 1
 
< 0.1%
1376 3
< 0.1%
1375 5
0.1%
1374 1
 
< 0.1%

도로명
Text

Distinct865
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:30:18.790699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length14.2061
Min length1

Characters and Unicode

Total characters142061
Distinct characters115
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

Unique170 ?
Unique (%)1.7%

Sample

1st row월드컵4강로182번길
2nd row금부로
3rd row금화로
4th row상무연하로
5th row상무대로
ValueCountFrequency (%)
상무대로 413
 
4.1%
운천로 371
 
3.7%
치평로 288
 
2.9%
상무중앙로 259
 
2.6%
화정로 247
 
2.5%
풍암순환로 194
 
1.9%
화운로 185
 
1.9%
상무연하로 181
 
1.8%
죽봉대로 171
 
1.7%
하남대로 160
 
1.6%
Other values (474) 7528
75.3%
2023-12-12T16:30:19.184964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85418
60.1%
로 9844
 
6.9%
길 4215
 
3.0%
번 4129
 
2.9%
상 2294
 
1.6%
1 2281
 
1.6%
무 2240
 
1.6%
화 2042
 
1.4%
대 1480
 
1.0%
2 1364
 
1.0%
Other values (105) 26754
 
18.8%

Most occurring categories

ValueCountFrequency (%)
Space Separator 85418
60.1%
Other Letter 45663
32.1%
Decimal Number 10980
 
7.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9844
21.6%
길 4215
 
9.2%
번 4129
 
9.0%
상 2294
 
5.0%
무 2240
 
4.9%
화 2042
 
4.5%
대 1480
 
3.2%
풍 1307
 
2.9%
운 1073
 
2.3%
암 972
 
2.1%
Other values (94) 16067
35.2%
Decimal Number
ValueCountFrequency (%)
1 2281
20.8%
2 1364
12.4%
4 1291
11.8%
8 1129
10.3%
3 980
8.9%
5 974
8.9%
0 856
 
7.8%
9 744
 
6.8%
6 739
 
6.7%
7 622
 
5.7%
Space Separator
ValueCountFrequency (%)
85418
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96398
67.9%
Hangul 45663
32.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9844
21.6%
길 4215
 
9.2%
번 4129
 
9.0%
상 2294
 
5.0%
무 2240
 
4.9%
화 2042
 
4.5%
대 1480
 
3.2%
풍 1307
 
2.9%
운 1073
 
2.3%
암 972
 
2.1%
Other values (94) 16067
35.2%
Common
ValueCountFrequency (%)
85418
88.6%
1 2281
 
2.4%
2 1364
 
1.4%
4 1291
 
1.3%
8 1129
 
1.2%
3 980
 
1.0%
5 974
 
1.0%
0 856
 
0.9%
9 744
 
0.8%
6 739
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96398
67.9%
Hangul 45663
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85418
88.6%
1 2281
 
2.4%
2 1364
 
1.4%
4 1291
 
1.3%
8 1129
 
1.2%
3 980
 
1.0%
5 974
 
1.0%
0 856
 
0.9%
9 744
 
0.8%
6 739
 
0.8%
Hangul
ValueCountFrequency (%)
로 9844
21.6%
길 4215
 
9.2%
번 4129
 
9.0%
상 2294
 
5.0%
무 2240
 
4.9%
화 2042
 
4.5%
대 1480
 
3.2%
풍 1307
 
2.9%
운 1073
 
2.3%
암 972
 
2.1%
Other values (94) 16067
35.2%

건물본번
Real number (ℝ)

Distinct606
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.3201
Minimum0
Maximum1236
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:30:19.350579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median35
Q3103
95-th percentile764.1
Maximum1236
Range1236
Interquartile range (IQR)92

Descriptive statistics

Standard deviation227.88301
Coefficient of variation (CV)1.8783615
Kurtosis7.8873421
Mean121.3201
Median Absolute Deviation (MAD)29
Skewness2.9170224
Sum1213201
Variance51930.665
MonotonicityNot monotonic
2023-12-12T16:30:19.539421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 289
 
2.9%
4 281
 
2.8%
6 243
 
2.4%
8 234
 
2.3%
7 228
 
2.3%
9 228
 
2.3%
1 215
 
2.1%
5 214
 
2.1%
10 212
 
2.1%
19 203
 
2.0%
Other values (596) 7653
76.5%
ValueCountFrequency (%)
0 8
 
0.1%
1 215
2.1%
2 185
1.8%
3 289
2.9%
4 281
2.8%
5 214
2.1%
6 243
2.4%
7 228
2.3%
8 234
2.3%
9 228
2.3%
ValueCountFrequency (%)
1236 3
< 0.1%
1228 7
0.1%
1226 2
 
< 0.1%
1206 2
 
< 0.1%
1197 2
 
< 0.1%
1191 1
 
< 0.1%
1181 1
 
< 0.1%
1179 6
0.1%
1173 1
 
< 0.1%
1156 1
 
< 0.1%

지번부번
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)< 0.1%
Memory size156.2 KiB

광고물종류
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)< 0.1%
Memory size156.2 KiB

광고물종류구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
5426 
4572 
2
 
1
0
 
1

Length

Max length20
Median length20
Mean length11.3094
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
5426
54.3%
4572
45.7%
2 1
 
< 0.1%
0 1
 
< 0.1%

Length

2023-12-12T16:30:19.702004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:19.837387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1
50.0%
0 1
50.0%

조명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반전기
5009 
일반전기
4186 
전광류
 
279
전광류
 
277
네온
 
105
Other values (6)
 
144

Length

Max length20
Median length6
Mean length5.0923
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row일반전기
2nd row일반전기
3rd row일반전기
4th row일반전기
5th row전광류

Common Values

ValueCountFrequency (%)
일반전기 5009
50.1%
일반전기 4186
41.9%
전광류 279
 
2.8%
전광류 277
 
2.8%
네온 105
 
1.1%
네온 82
 
0.8%
화공 32
 
0.3%
화공 27
 
0.3%
3 1
 
< 0.1%
1
 
< 0.1%

Length

2023-12-12T16:30:20.016706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반전기 9195
92.0%
전광류 556
 
5.6%
네온 187
 
1.9%
화공 59
 
0.6%
3 1
 
< 0.1%
해당없음 1
 
< 0.1%

적법구분
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

불법구분
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

점용여부
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
8937 
Y
1059 
 
1
 
1
폐업함
 
1

Length

Max length100
Median length1
Mean length1.0194
Min length1

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
N 8937
89.4%
Y 1059
 
10.6%
1
 
< 0.1%
1
 
< 0.1%
폐업함 1
 
< 0.1%
우측포함 1
 
< 0.1%

Length

2023-12-12T16:30:20.171193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:20.291280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 8937
89.4%
y 1059
 
10.6%
폐업함 1
 
< 0.1%
우측포함 1
 
< 0.1%

현재상태
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
불법
3080 
불법
2528 
적법
2232 
적법
1930 
철거
 
113
Other values (5)
 
117

Length

Max length8
Median length8
Mean length5.2549
Min length1

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row불법
2nd row적법
3rd row불법
4th row적법
5th row불법

Common Values

ValueCountFrequency (%)
불법 3080
30.8%
불법 2528
25.3%
적법 2232
22.3%
적법 1930
19.3%
철거 113
 
1.1%
철거 113
 
1.1%
N 1
 
< 0.1%
<NA> 1
 
< 0.1%
1 1
 
< 0.1%
2 1
 
< 0.1%

Length

2023-12-12T16:30:20.451817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:20.591283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불법 5608
56.1%
적법 4162
41.6%
철거 226
 
2.3%
n 1
 
< 0.1%
na 1
 
< 0.1%
1 1
 
< 0.1%
2 1
 
< 0.1%

허가신고번호
Text

MISSING 

Distinct60
Distinct (%)0.7%
Missing1447
Missing (%)14.5%
Memory size156.2 KiB
2023-12-12T16:30:20.849923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length13.346311
Min length1

Characters and Unicode

Total characters114151
Distinct characters14
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

Unique12 ?
Unique (%)0.1%

Sample

1st row
2nd row
3rd row
4th row2016360011109100000
5th row
ValueCountFrequency (%)
2016360011109100000 548
27.6%
2017360011109100000 375
18.9%
2009360001409100000 128
 
6.4%
2009360001409200000 83
 
4.2%
2008360001409210000 80
 
4.0%
2008360001409200000 79
 
4.0%
2014360010009200000 74
 
3.7%
2011360001409100000 63
 
3.2%
2008360001409110000 50
 
2.5%
2008360001409100000 48
 
2.4%
Other values (48) 459
23.1%
2023-12-12T16:30:21.246404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76449
67.0%
0 19415
 
17.0%
1 7095
 
6.2%
6 2553
 
2.2%
2 2550
 
2.2%
9 2248
 
2.0%
3 2139
 
1.9%
4 856
 
0.7%
7 460
 
0.4%
8 324
 
0.3%
Other values (4) 62
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Space Separator 76449
67.0%
Decimal Number 37696
33.0%
Other Letter 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19415
51.5%
1 7095
 
18.8%
6 2553
 
6.8%
2 2550
 
6.8%
9 2248
 
6.0%
3 2139
 
5.7%
4 856
 
2.3%
7 460
 
1.2%
8 324
 
0.9%
5 56
 
0.1%
Other Letter
ValueCountFrequency (%)
법 3
50.0%
적 2
33.3%
불 1
 
16.7%
Space Separator
ValueCountFrequency (%)
76449
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 114145
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
76449
67.0%
0 19415
 
17.0%
1 7095
 
6.2%
6 2553
 
2.2%
2 2550
 
2.2%
9 2248
 
2.0%
3 2139
 
1.9%
4 856
 
0.7%
7 460
 
0.4%
8 324
 
0.3%
Hangul
ValueCountFrequency (%)
법 3
50.0%
적 2
33.3%
불 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 114145
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76449
67.0%
0 19415
 
17.0%
1 7095
 
6.2%
6 2553
 
2.2%
2 2550
 
2.2%
9 2248
 
2.0%
3 2139
 
1.9%
4 856
 
0.7%
7 460
 
0.4%
8 324
 
0.3%
Hangul
ValueCountFrequency (%)
법 3
50.0%
적 2
33.3%
불 1
 
16.7%

지역용도
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타권역
5283 
기타권역
4456 
중점권역
 
95
중점권역
 
81
상업권역
 
39
Other values (4)
 
46

Length

Max length16
Median length16
Mean length10.51
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타권역 5283
52.8%
기타권역 4456
44.6%
중점권역 95
 
0.9%
중점권역 81
 
0.8%
상업권역 39
 
0.4%
상업권역 29
 
0.3%
일반권역 8
 
0.1%
일반권역 5
 
0.1%
<NA> 4
 
< 0.1%

Length

2023-12-12T16:30:21.415641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:21.561834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타권역 9739
97.4%
중점권역 176
 
1.8%
상업권역 68
 
0.7%
일반권역 13
 
0.1%
na 4
 
< 0.1%

처리자
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
7118
6306 
7688
3686 
7451
 
4
<NA>
 
1
중점권역
 
1
Other values (2)
 
2

Length

Max length16
Median length4
Mean length4.0024
Min length4

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row7688
2nd row7118
3rd row7118
4th row7118
5th row7118

Common Values

ValueCountFrequency (%)
7118 6306
63.1%
7688 3686
36.9%
7451 4
 
< 0.1%
<NA> 1
 
< 0.1%
중점권역 1
 
< 0.1%
기타권역 1
 
< 0.1%
기타권역 1
 
< 0.1%

Length

2023-12-12T16:30:21.705722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:21.827169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7118 6306
63.1%
7688 3686
36.9%
7451 4
 
< 0.1%
기타권역 2
 
< 0.1%
na 1
 
< 0.1%
중점권역 1
 
< 0.1%

규격1(가로)
Text

Distinct229
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:30:22.130471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length2.3042
Min length1

Characters and Unicode

Total characters23042
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)0.9%

Sample

1st row2.5
2nd row3.6
3rd row1
4th row3.2
5th row0.6
ValueCountFrequency (%)
0.8 1824
18.2%
4 627
 
6.3%
0.3 601
 
6.0%
3 560
 
5.6%
3.5 433
 
4.3%
5 412
 
4.1%
6 362
 
3.6%
1 342
 
3.4%
4.5 313
 
3.1%
0.7 308
 
3.1%
Other values (219) 4218
42.2%
2023-12-12T16:30:22.599505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 6146
26.7%
0 3610
15.7%
5 2786
12.1%
8 2459
10.7%
3 1936
 
8.4%
1 1479
 
6.4%
4 1251
 
5.4%
2 1187
 
5.2%
6 892
 
3.9%
7 834
 
3.6%
Other values (5) 462
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16878
73.2%
Other Punctuation 6146
 
26.7%
Space Separator 12
 
0.1%
Other Letter 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3610
21.4%
5 2786
16.5%
8 2459
14.6%
3 1936
11.5%
1 1479
8.8%
4 1251
 
7.4%
2 1187
 
7.0%
6 892
 
5.3%
7 834
 
4.9%
9 444
 
2.6%
Other Letter
ValueCountFrequency (%)
법 3
50.0%
적 2
33.3%
불 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 6146
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23036
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6146
26.7%
0 3610
15.7%
5 2786
12.1%
8 2459
10.7%
3 1936
 
8.4%
1 1479
 
6.4%
4 1251
 
5.4%
2 1187
 
5.2%
6 892
 
3.9%
7 834
 
3.6%
Other values (2) 456
 
2.0%
Hangul
ValueCountFrequency (%)
법 3
50.0%
적 2
33.3%
불 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23036
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6146
26.7%
0 3610
15.7%
5 2786
12.1%
8 2459
10.7%
3 1936
 
8.4%
1 1479
 
6.4%
4 1251
 
5.4%
2 1187
 
5.2%
6 892
 
3.9%
7 834
 
3.6%
Other values (2) 456
 
2.0%
Hangul
ValueCountFrequency (%)
법 3
50.0%
적 2
33.3%
불 1
 
16.7%

규격1(세로)
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

규격1(면)
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.28499
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:30:22.748090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.47723838
Coefficient of variation (CV)0.37139463
Kurtosis2.4250078
Mean1.28499
Median Absolute Deviation (MAD)0
Skewness1.4732255
Sum12849.9
Variance0.22775648
MonotonicityNot monotonic
2023-12-12T16:30:22.882440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1.0 7235
72.4%
2.0 2710
 
27.1%
4.0 31
 
0.3%
3.0 21
 
0.2%
5.0 1
 
< 0.1%
1.7 1
 
< 0.1%
1.2 1
 
< 0.1%
ValueCountFrequency (%)
1.0 7235
72.4%
1.2 1
 
< 0.1%
1.7 1
 
< 0.1%
2.0 2710
 
27.1%
3.0 21
 
0.2%
4.0 31
 
0.3%
5.0 1
 
< 0.1%
ValueCountFrequency (%)
5.0 1
 
< 0.1%
4.0 31
 
0.3%
3.0 21
 
0.2%
2.0 2710
 
27.1%
1.7 1
 
< 0.1%
1.2 1
 
< 0.1%
1.0 7235
72.4%

규격2(가로)
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.074904
Minimum0
Maximum28
Zeros9767
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:30:23.035206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.81678674
Coefficient of variation (CV)10.904448
Kurtosis324.73551
Mean0.074904
Median Absolute Deviation (MAD)0
Skewness15.865005
Sum749.04
Variance0.66714058
MonotonicityNot monotonic
2023-12-12T16:30:23.181528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9767
97.7%
0.3 70
 
0.7%
0.5 19
 
0.2%
8.0 10
 
0.1%
6.0 10
 
0.1%
1.0 10
 
0.1%
0.6 8
 
0.1%
7.0 8
 
0.1%
0.4 8
 
0.1%
2.0 7
 
0.1%
Other values (51) 83
 
0.8%
ValueCountFrequency (%)
0.0 9767
97.7%
0.2 4
 
< 0.1%
0.25 1
 
< 0.1%
0.3 70
 
0.7%
0.36 1
 
< 0.1%
0.4 8
 
0.1%
0.5 19
 
0.2%
0.55 1
 
< 0.1%
0.6 8
 
0.1%
0.7 1
 
< 0.1%
ValueCountFrequency (%)
28.0 1
< 0.1%
19.0 2
< 0.1%
18.0 1
< 0.1%
16.0 1
< 0.1%
15.2 1
< 0.1%
15.0 1
< 0.1%
13.5 1
< 0.1%
13.0 2
< 0.1%
12.3 1
< 0.1%
12.0 1
< 0.1%

규격2(세로)
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.040361
Minimum0
Maximum9
Zeros9773
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:30:23.572245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.32181152
Coefficient of variation (CV)7.9733288
Kurtosis242.74843
Mean0.040361
Median Absolute Deviation (MAD)0
Skewness12.854665
Sum403.61
Variance0.10356266
MonotonicityNot monotonic
2023-12-12T16:30:23.691754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 9773
97.7%
2.0 96
 
1.0%
1.0 21
 
0.2%
1.5 17
 
0.2%
0.8 15
 
0.1%
1.2 13
 
0.1%
2.5 8
 
0.1%
0.7 7
 
0.1%
0.5 7
 
0.1%
1.3 5
 
0.1%
Other values (23) 38
 
0.4%
ValueCountFrequency (%)
0.0 9773
97.7%
0.25 1
 
< 0.1%
0.3 2
 
< 0.1%
0.4 3
 
< 0.1%
0.5 7
 
0.1%
0.55 1
 
< 0.1%
0.6 2
 
< 0.1%
0.65 1
 
< 0.1%
0.66 1
 
< 0.1%
0.7 7
 
0.1%
ValueCountFrequency (%)
9.0 2
 
< 0.1%
7.5 1
 
< 0.1%
7.1 1
 
< 0.1%
7.0 1
 
< 0.1%
6.0 1
 
< 0.1%
5.2 1
 
< 0.1%
5.0 2
 
< 0.1%
3.0 4
< 0.1%
2.6 1
 
< 0.1%
2.5 8
0.1%

규격2(면)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9770 
1
 
206
2
 
23
8
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9770
97.7%
1 206
 
2.1%
2 23
 
0.2%
8 1
 
< 0.1%

Length

2023-12-12T16:30:23.801870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:23.890929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9770
97.7%
1 206
 
2.1%
2 23
 
0.2%
8 1
 
< 0.1%

규격(높이)
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28364
Minimum0
Maximum12
Zeros9486
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:30:24.014510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3124521
Coefficient of variation (CV)4.6271758
Kurtosis25.080964
Mean0.28364
Median Absolute Deviation (MAD)0
Skewness4.9593714
Sum2836.4
Variance1.7225306
MonotonicityNot monotonic
2023-12-12T16:30:24.153579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 9486
94.9%
6.0 69
 
0.7%
7.0 55
 
0.5%
5.0 54
 
0.5%
4.0 48
 
0.5%
3.0 40
 
0.4%
8.0 35
 
0.4%
5.5 27
 
0.3%
2.0 25
 
0.2%
4.5 22
 
0.2%
Other values (30) 139
 
1.4%
ValueCountFrequency (%)
0.0 9486
94.9%
1.0 2
 
< 0.1%
1.2 1
 
< 0.1%
1.4 1
 
< 0.1%
1.5 3
 
< 0.1%
2.0 25
 
0.2%
2.1 1
 
< 0.1%
2.3 1
 
< 0.1%
2.4 1
 
< 0.1%
2.5 19
 
0.2%
ValueCountFrequency (%)
12.0 4
 
< 0.1%
11.5 1
 
< 0.1%
10.0 9
 
0.1%
9.9 1
 
< 0.1%
9.5 3
 
< 0.1%
9.4 5
 
0.1%
9.0 17
0.2%
8.5 9
 
0.1%
8.0 35
0.4%
7.9 1
 
< 0.1%

면적(제곱미터)
Real number (ℝ)

SKEWED 

Distinct653
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.956465
Minimum0
Maximum702
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:30:24.314371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.54
Q12
median4.2
Q37
95-th percentile16
Maximum702
Range702
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.832875
Coefficient of variation (CV)2.1544449
Kurtosis1713.2471
Mean5.956465
Median Absolute Deviation (MAD)2.3
Skewness35.226806
Sum59564.65
Variance164.68269
MonotonicityNot monotonic
2023-12-12T16:30:24.453978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.8 563
 
5.6%
4.0 418
 
4.2%
0.6 319
 
3.2%
3.2 310
 
3.1%
6.4 259
 
2.6%
1.0 254
 
2.5%
6.0 249
 
2.5%
5.6 221
 
2.2%
2.4 220
 
2.2%
3.0 216
 
2.2%
Other values (643) 6971
69.7%
ValueCountFrequency (%)
0.0 4
 
< 0.1%
0.03 1
 
< 0.1%
0.04 3
 
< 0.1%
0.06 2
 
< 0.1%
0.09 5
 
0.1%
0.1 2
 
< 0.1%
0.12 7
 
0.1%
0.14 1
 
< 0.1%
0.15 19
0.2%
0.16 6
 
0.1%
ValueCountFrequency (%)
702.0 1
< 0.1%
648.0 1
< 0.1%
497.0 1
< 0.1%
184.8 1
< 0.1%
124.3 1
< 0.1%
120.0 1
< 0.1%
110.0 1
< 0.1%
100.64 1
< 0.1%
95.5 1
< 0.1%
91.0 1
< 0.1%

도로점용비율
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.123612
Minimum0
Maximum100
Zeros8936
Zeros (%)89.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:30:24.630552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.7148
Coefficient of variation (CV)2.9351974
Kurtosis5.0183648
Mean10.123612
Median Absolute Deviation (MAD)0
Skewness2.6349605
Sum101236.12
Variance882.96934
MonotonicityNot monotonic
2023-12-12T16:30:24.742589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 8936
89.4%
100.0 938
 
9.4%
50.0 55
 
0.5%
70.0 27
 
0.3%
80.0 24
 
0.2%
60.0 5
 
0.1%
40.0 5
 
0.1%
25.0 2
 
< 0.1%
55.0 1
 
< 0.1%
90.0 1
 
< 0.1%
Other values (6) 6
 
0.1%
ValueCountFrequency (%)
0.0 8936
89.4%
1.2 1
 
< 0.1%
2.72 1
 
< 0.1%
7.2 1
 
< 0.1%
20.0 1
 
< 0.1%
25.0 2
 
< 0.1%
40.0 5
 
0.1%
50.0 55
 
0.5%
55.0 1
 
< 0.1%
60.0 5
 
0.1%
ValueCountFrequency (%)
100.0 938
9.4%
90.0 1
 
< 0.1%
85.0 1
 
< 0.1%
80.0 24
 
0.2%
70.0 27
 
0.3%
65.0 1
 
< 0.1%
60.0 5
 
0.1%
55.0 1
 
< 0.1%
50.0 55
 
0.5%
40.0 5
 
0.1%

업종코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
8
9992 
5
 
2
 
2
3
 
2
<NA>
 
1

Length

Max length12
Median length1
Mean length1.0025
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row8
2nd row8
3rd row8
4th row8
5th row8

Common Values

ValueCountFrequency (%)
8 9992
99.9%
5 2
 
< 0.1%
2
 
< 0.1%
3 2
 
< 0.1%
<NA> 1
 
< 0.1%
1
 
< 0.1%

Length

2023-12-12T16:30:24.853958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:25.011750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8 9992
99.9%
5 2
 
< 0.1%
3 2
 
< 0.1%
na 1
 
< 0.1%

세수구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
없음
8936 
구세
993 
시세
 
67
8
 
3
 
1

Length

Max length2
Median length2
Mean length1.9996
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
없음 8936
89.4%
구세 993
 
9.9%
시세 67
 
0.7%
8 3
 
< 0.1%
1
 
< 0.1%

Length

2023-12-12T16:30:25.169222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:25.285689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 8936
89.4%
구세 993
 
9.9%
시세 67
 
0.7%
8 3
 
< 0.1%

안전점검대상여부
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
FALSE
8993 
TRUE
1003 
없음
 
2
8
 
1
구세
 
1

Length

Max length5
Median length5
Mean length4.8984
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
FALSE 8993
89.9%
TRUE 1003
 
10.0%
없음 2
 
< 0.1%
8 1
 
< 0.1%
구세 1
 
< 0.1%

Length

2023-12-12T16:30:25.417679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:25.527563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
false 8993
89.9%
true 1003
 
10.0%
없음 2
 
< 0.1%
8 1
 
< 0.1%
구세 1
 
< 0.1%

양성화여부
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

전수조사번호
Real number (ℝ)

SKEWED 

Distinct10
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.0159642 × 1018
Minimum0
Maximum2.02236 × 1018
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:30:25.617068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.01636 × 1018
Q12.01636 × 1018
median2.01636 × 1018
Q32.01636 × 1018
95-th percentile2.01636 × 1018
Maximum2.02236 × 1018
Range2.02236 × 1018
Interquartile range (IQR)19968

Descriptive statistics

Standard deviation2.8517523 × 1016
Coefficient of variation (CV)0.014145848
Kurtosis4996.2515
Mean2.0159642 × 1018
Median Absolute Deviation (MAD)9984
Skewness-70.690364
Sum-6.6807124 × 1018
Variance8.1324912 × 1032
MonotonicityNot monotonic
2023-12-12T16:30:25.758035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2016360000013009920 2173
21.7%
2016360000013019904 2136
21.4%
2016360000012999936 2133
21.3%
2016360000013029888 2080
20.8%
2016360000013040128 1420
14.2%
2017360000013040128 49
 
0.5%
2022360000013050112 3
 
< 0.1%
0 2
 
< 0.1%
2022360000013060096 1
 
< 0.1%
2019360000013040128 1
 
< 0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
2016360000012999936 2133
21.3%
2016360000013009920 2173
21.7%
2016360000013019904 2136
21.4%
2016360000013029888 2080
20.8%
2016360000013040128 1420
14.2%
2017360000013040128 49
 
0.5%
2019360000013040128 1
 
< 0.1%
2022360000013050112 3
 
< 0.1%
2022360000013060096 1
 
< 0.1%
ValueCountFrequency (%)
2022360000013060096 1
 
< 0.1%
2022360000013050112 3
 
< 0.1%
2019360000013040128 1
 
< 0.1%
2017360000013040128 49
 
0.5%
2016360000013040128 1420
14.2%
2016360000013029888 2080
20.8%
2016360000013019904 2136
21.4%
2016360000013009920 2173
21.7%
2016360000012999936 2133
21.3%
0 2
 
< 0.1%

장소별현황코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9996 
<NA>
 
4

Length

Max length4
Median length1
Mean length1.0012
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 9996
> 99.9%
<NA> 4
 
< 0.1%

Length

2023-12-12T16:30:25.884586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:25.982134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9996
> 99.9%
na 4
 
< 0.1%

유형별현황코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
4
9996 
1
 
3
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0003
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
4 9996
> 99.9%
1 3
 
< 0.1%
<NA> 1
 
< 0.1%

Length

2023-12-12T16:30:26.086465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:26.198777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 9996
> 99.9%
1 3
 
< 0.1%
na 1
 
< 0.1%

Sample

고유번호계획번호태그번호조사일자수정일자등록일자업소명광고물표시내용우편번호법정동코드행정동코드시도명시군구명읍면동명지번본번도로명건물본번지번부번광고물종류광고물종류구분조명적법구분불법구분점용여부현재상태허가신고번호지역용도처리자규격1(가로)규격1(세로)규격1(면)규격2(가로)규격2(세로)규격2(면)규격(높이)면적(제곱미터)도로점용비율업종코드세수구분안전점검대상여부양성화여부전수조사번호장소별현황코드유형별현황코드
361062022016012599900000A202202180162022022-02-182022-10-182016-01-25나들가게내방점나들가게선진협동조합6197629140121002914074000광주서구내방동839월드컵4강로182번길2118.00일반전기42N불법기타권역76882.51.31.00.00.000.03.250.08없음FALSEFALSE201636000001299993614
2074562022016041200000000A202202180162022022-02-18<NA>2016-04-12김성영이용원김성영이용원6200229140130002914082100광주서구금호동723금부로77140일반전기35N적법<NA>기타권역71183.60.81.00.00.000.02.880.08없음FALSEFalse201636000001302988814
2188962022016041400000000A202202180162022022-02-182017-02-062016-04-14샤또마들렌과자점샤또마들렌과자점6200929140130002914082100광주서구금호동766금화로101110일반전기42N불법기타권역711812.01.00.00.000.02.00.08없음FALSEFalse201636000001302988814
975862022016022299900000A202202180162022022-02-18<NA>2016-02-22바디스튜디오바디스튜디오6194729140120002914074000광주서구치평동1203상무연하로1120.00일반전기35N적법<NA>기타권역71183.20.81.00.00.000.02.560.08없음FALSEFALSE201636000001300992014
665762022016020599900000A202202180162022022-02-182022-06-032016-02-05바다정보통신바다정보통신6197929140119002914076000광주서구화정동783상무대로107321.00전광류42N불법기타권역71180.60.51.00.00.000.00.30.08없음FALSEFALSE201636000001300992014
1410562022016032699900000A202202180162022022-02-182023-04-252016-03-26이편한마트이편한마트6191629140115002914073000광주서구광천동895화운로2780.00일반전기15N적법2016360011109100000기타권역7688121.51.00.00.000.018.00.08없음TRUETRUE201636000001301990414
1129462022016030799900000A202202180162022022-02-18<NA>2016-03-07더릴렉세이션더릴렉세이션6196029140120002914074500광주서구치평동1284상무화원로52.03일반전기35N적법<NA>기타권역71181.80.31.00.00.000.00.540.08없음FALSEFALSE201636000001300992014
895262022016021799900000A202202180162022022-02-18<NA>2016-02-17하루룸소주방하루룸소주방6194829140120002914074500광주서구치평동1222시청로60번길193.03일반전기41N불법<NA>기타권역7118111.21.00.00.000.013.20.08없음FALSEFALSE201636000001300992014
2755462022016051800000000A202202180162022022-02-182023-02-032016-05-18미스미스터헤어샵사인볼6195229140120002914074500광주서구치평동1168상무공원로11201일반전기41N불법기타권역76880.31.01.00.00.000.00.30.08없음FALSEFalse201636000001304012814
545562022016020299900000A202202180162022022-02-182022-06-092016-02-02카페이쪼광천점카페이쪼6191729140115002914073000광주서구광천동35무진대로94716.03일반전기15N적법2016360011109100000기타권역71185.51.41.00.00.000.07.70.08없음FALSETRUE201636000001299993614
고유번호계획번호태그번호조사일자수정일자등록일자업소명광고물표시내용우편번호법정동코드행정동코드시도명시군구명읍면동명지번본번도로명건물본번지번부번광고물종류광고물종류구분조명적법구분불법구분점용여부현재상태허가신고번호지역용도처리자규격1(가로)규격1(세로)규격1(면)규격2(가로)규격2(세로)규격2(면)규격(높이)면적(제곱미터)도로점용비율업종코드세수구분안전점검대상여부양성화여부전수조사번호장소별현황코드유형별현황코드
1657262022016040400000000A202202180162022022-02-182017-02-082016-04-04화정미래로약국화정미래로약국6204529140119002914076000광주서구화정동1299화운로700일반전기15N적법2016360011109100000기타권역71189.81.01.00.00.000.09.80.08없음FALSETrue201636000001301990414
1490462022016033099900000A202202180162022022-02-182016-05-112016-03-30필요한정신과필요한정신건강의학과의원6196229140120002914074500광주서구치평동1180상무중앙로430.00일반전기25N적법2008360001409210000기타권역71184.811.00.00.000.04.80.08없음FALSEFALSE201636000001301990414
356462022016012599900000A202202180162022022-02-182022-06-062016-01-25궁리기획궁리기획6197929140119002914076000광주서구화정동786화운로1726.00일반전기35N적법기타권역71180.812.00.00.009.41.60.08없음FALSEFALSE201636000001299993614
1332862022016032371100000A202202180162022022-02-182022-06-082016-03-23쨈호프쨈호프6192729140106002914065000광주서구농성동645화정로309번길389.00일반전기43Y불법기타권역71180.82.52.00.00.006.04.0100.08구세FALSEFALSE201636000001301990414
122662022016011999900000A202202180162022022-02-182022-06-072016-01-19이과촌이과촌6197929140119002914076000광주서구화정동781화운로156번길998.00일반전기35N적법기타권역7118411.00.00.000.04.00.08없음FALSEFALSE201636000001299993614
268162022016012399900000A202202180162022022-02-182022-05-272016-01-23지비티성경번역선교회지비티성경번역선교회6193029140106002914065000광주서구농성동621월산로169번길323.00일반전기15N적법2016360011109100000기타권역711861.21.00.00.000.07.20.08없음FALSETRUE201636000001299993614
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Duplicate rows

Most frequently occurring

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