Overview

Dataset statistics

Number of variables21
Number of observations107
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 KiB
Average record size in memory180.2 B

Variable types

Categorical15
Text3
Numeric2
DateTime1

Dataset

Description성남시 내 현수막지정게시대 현황입니다(설치위치(주소), 용도, 게시대 수, 규격(높이,너비), 게시면 수, 부착금액, 관리기관)
URLhttps://www.data.go.kr/data/15043218/fileData.do

Alerts

시군명 has constant value ""Constant
용도구분 has constant value ""Constant
게시대수 has constant value ""Constant
현수막규격-높이(cm) has constant value ""Constant
게시면 수(행정용) has constant value ""Constant
게시면 수(상업용) has constant value ""Constant
부착일수 has constant value ""Constant
부착금액(행정용) has constant value ""Constant
부착금액(민원수수료) has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관 전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
게시대명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:54:41.220896
Analysis finished2023-12-12 08:54:41.654284
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
성남시
107 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 107
100.0%

Length

2023-12-12T17:54:41.728878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:41.867465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성남시 107
100.0%

읍면동명
Categorical

Distinct28
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size988.0 B
정자동
11 
야탑동
9 
서현동
9 
백현동
7 
구미동
7 
Other values (23)
64 

Length

Max length5
Median length3
Mean length3.1588785
Min length3

Unique

Unique7 ?
Unique (%)6.5%

Sample

1st row복정동
2nd row복정동
3rd row창곡동
4th row수진2동
5th row신흥동

Common Values

ValueCountFrequency (%)
정자동 11
 
10.3%
야탑동 9
 
8.4%
서현동 9
 
8.4%
백현동 7
 
6.5%
구미동 7
 
6.5%
이매동 6
 
5.6%
위례동 6
 
5.6%
복정동 5
 
4.7%
하대원동 4
 
3.7%
금곡동 4
 
3.7%
Other values (18) 39
36.4%

Length

2023-12-12T17:54:42.020171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정자동 11
 
10.3%
서현동 9
 
8.4%
야탑동 9
 
8.4%
백현동 7
 
6.5%
구미동 7
 
6.5%
이매동 6
 
5.6%
위례동 6
 
5.6%
복정동 5
 
4.7%
하대원동 4
 
3.7%
금곡동 4
 
3.7%
Other values (18) 39
36.4%

용도구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
상업용+행정용
107 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상업용+행정용
2nd row상업용+행정용
3rd row상업용+행정용
4th row상업용+행정용
5th row상업용+행정용

Common Values

ValueCountFrequency (%)
상업용+행정용 107
100.0%

Length

2023-12-12T17:54:42.212337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:42.360211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상업용+행정용 107
100.0%

게시대명
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T17:54:42.645031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length14.906542
Min length6

Characters and Unicode

Total characters1595
Distinct characters218
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

Unique107 ?
Unique (%)100.0%

Sample

1st row가천대학교테니스장앞
2nd row동서울대학교 정문 건너편
3rd row산성역3번출구
4th row공영주차장 고가도로 옆
5th row성남혜은학교 입구
ValueCountFrequency (%)
앞 18
 
5.9%
건너편 17
 
5.6%
옆 14
 
4.6%
사거리 13
 
4.2%
좌측 11
 
3.6%
우측 10
 
3.3%
입구 10
 
3.3%
위례 4
 
1.3%
중원경찰서 3
 
1.0%
lg주유소 3
 
1.0%
Other values (163) 203
66.3%
2023-12-12T17:54:43.162441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
287
 
18.0%
리 43
 
2.7%
거 37
 
2.3%
사 35
 
2.2%
교 34
 
2.1%
( 33
 
2.1%
) 33
 
2.1%
편 26
 
1.6%
건 25
 
1.6%
측 24
 
1.5%
Other values (208) 1018
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1161
72.8%
Space Separator 287
 
18.0%
Decimal Number 47
 
2.9%
Open Punctuation 33
 
2.1%
Close Punctuation 33
 
2.1%
Uppercase Letter 33
 
2.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 43
 
3.7%
거 37
 
3.2%
사 35
 
3.0%
교 34
 
2.9%
편 26
 
2.2%
건 25
 
2.2%
측 24
 
2.1%
너 24
 
2.1%
옆 22
 
1.9%
동 22
 
1.9%
Other values (188) 869
74.8%
Decimal Number
ValueCountFrequency (%)
1 11
23.4%
3 10
21.3%
0 9
19.1%
6 7
14.9%
2 4
 
8.5%
5 2
 
4.3%
4 2
 
4.3%
7 1
 
2.1%
9 1
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
C 10
30.3%
A 10
30.3%
L 4
 
12.1%
I 4
 
12.1%
G 3
 
9.1%
B 1
 
3.0%
H 1
 
3.0%
Space Separator
ValueCountFrequency (%)
287
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1161
72.8%
Common 401
 
25.1%
Latin 33
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 43
 
3.7%
거 37
 
3.2%
사 35
 
3.0%
교 34
 
2.9%
편 26
 
2.2%
건 25
 
2.2%
측 24
 
2.1%
너 24
 
2.1%
옆 22
 
1.9%
동 22
 
1.9%
Other values (188) 869
74.8%
Common
ValueCountFrequency (%)
287
71.6%
( 33
 
8.2%
) 33
 
8.2%
1 11
 
2.7%
3 10
 
2.5%
0 9
 
2.2%
6 7
 
1.7%
2 4
 
1.0%
5 2
 
0.5%
4 2
 
0.5%
Other values (3) 3
 
0.7%
Latin
ValueCountFrequency (%)
C 10
30.3%
A 10
30.3%
L 4
 
12.1%
I 4
 
12.1%
G 3
 
9.1%
B 1
 
3.0%
H 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1161
72.8%
ASCII 434
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
287
66.1%
( 33
 
7.6%
) 33
 
7.6%
1 11
 
2.5%
C 10
 
2.3%
A 10
 
2.3%
3 10
 
2.3%
0 9
 
2.1%
6 7
 
1.6%
L 4
 
0.9%
Other values (10) 20
 
4.6%
Hangul
ValueCountFrequency (%)
리 43
 
3.7%
거 37
 
3.2%
사 35
 
3.0%
교 34
 
2.9%
편 26
 
2.2%
건 25
 
2.2%
측 24
 
2.1%
너 24
 
2.1%
옆 22
 
1.9%
동 22
 
1.9%
Other values (188) 869
74.8%

소재지도로명주소
Text

Distinct64
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T17:54:43.486644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length17.121495
Min length15

Characters and Unicode

Total characters1832
Distinct characters79
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

Unique47 ?
Unique (%)43.9%

Sample

1st row경기도 성남시 수정구 성남대로
2nd row경기도 성남시 수정구 성남대로
3rd row경기도 성남시 수정구 헌릉로
4th row경기도 성남시 수정구 제일로 99
5th row경기도 성남시 수정구 희망로 513
ValueCountFrequency (%)
경기도 107
23.1%
성남시 107
23.1%
분당구 69
14.9%
수정구 20
 
4.3%
중원구 19
 
4.1%
성남대로 18
 
3.9%
분당수서로 13
 
2.8%
서현로 6
 
1.3%
돌마로 6
 
1.3%
대왕판교로 6
 
1.3%
Other values (59) 93
20.0%
2023-12-12T17:54:43.919840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
357
19.5%
남 126
 
6.9%
성 125
 
6.8%
도 109
 
5.9%
기 109
 
5.9%
경 108
 
5.9%
구 108
 
5.9%
로 107
 
5.8%
시 107
 
5.8%
분 85
 
4.6%
Other values (69) 491
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1377
75.2%
Space Separator 357
 
19.5%
Decimal Number 96
 
5.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 126
9.2%
성 125
9.1%
도 109
 
7.9%
기 109
 
7.9%
경 108
 
7.8%
구 108
 
7.8%
로 107
 
7.8%
시 107
 
7.8%
분 85
 
6.2%
당 85
 
6.2%
Other values (57) 308
22.4%
Decimal Number
ValueCountFrequency (%)
1 20
20.8%
2 14
14.6%
7 11
11.5%
9 10
10.4%
5 9
9.4%
0 9
9.4%
4 8
 
8.3%
3 7
 
7.3%
6 4
 
4.2%
8 4
 
4.2%
Space Separator
ValueCountFrequency (%)
357
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1377
75.2%
Common 455
 
24.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 126
9.2%
성 125
9.1%
도 109
 
7.9%
기 109
 
7.9%
경 108
 
7.8%
구 108
 
7.8%
로 107
 
7.8%
시 107
 
7.8%
분 85
 
6.2%
당 85
 
6.2%
Other values (57) 308
22.4%
Common
ValueCountFrequency (%)
357
78.5%
1 20
 
4.4%
2 14
 
3.1%
7 11
 
2.4%
9 10
 
2.2%
5 9
 
2.0%
0 9
 
2.0%
4 8
 
1.8%
3 7
 
1.5%
6 4
 
0.9%
Other values (2) 6
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1377
75.2%
ASCII 455
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
357
78.5%
1 20
 
4.4%
2 14
 
3.1%
7 11
 
2.4%
9 10
 
2.2%
5 9
 
2.0%
0 9
 
2.0%
4 8
 
1.8%
3 7
 
1.5%
6 4
 
0.9%
Other values (2) 6
 
1.3%
Hangul
ValueCountFrequency (%)
남 126
9.2%
성 125
9.1%
도 109
 
7.9%
기 109
 
7.9%
경 108
 
7.8%
구 108
 
7.8%
로 107
 
7.8%
시 107
 
7.8%
분 85
 
6.2%
당 85
 
6.2%
Other values (57) 308
22.4%

소재지지번주소
Text

Distinct92
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T17:54:44.243080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.308411
Min length17

Characters and Unicode

Total characters2173
Distinct characters61
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

Unique79 ?
Unique (%)73.8%

Sample

1st row경기도 성남시 수정구 복정동 599-2
2nd row경기도 성남시 수정구 복정동 440-6
3rd row경기도 성남시 수정구 창곡동 496-40
4th row경기도 성남시 수정구 수진동 4510-3
5th row경기도 성남시 수정구 신흥동 153
ValueCountFrequency (%)
경기도 107
20.0%
성남시 107
20.0%
분당구 68
 
12.7%
수정구 20
 
3.7%
중원구 19
 
3.6%
정자동 11
 
2.1%
야탑동 9
 
1.7%
서현동 8
 
1.5%
창곡동 8
 
1.5%
구미동 7
 
1.3%
Other values (110) 171
32.0%
2023-12-12T17:54:44.706085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
428
19.7%
구 114
 
5.2%
도 108
 
5.0%
성 108
 
5.0%
남 108
 
5.0%
경 107
 
4.9%
동 107
 
4.9%
시 107
 
4.9%
기 107
 
4.9%
분 72
 
3.3%
Other values (51) 807
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1294
59.5%
Space Separator 428
 
19.7%
Decimal Number 383
 
17.6%
Dash Punctuation 68
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 114
8.8%
도 108
 
8.3%
성 108
 
8.3%
남 108
 
8.3%
경 107
 
8.3%
동 107
 
8.3%
시 107
 
8.3%
기 107
 
8.3%
분 72
 
5.6%
당 72
 
5.6%
Other values (39) 284
21.9%
Decimal Number
ValueCountFrequency (%)
1 66
17.2%
5 50
13.1%
2 44
11.5%
4 42
11.0%
3 42
11.0%
9 32
8.4%
6 30
7.8%
7 29
7.6%
8 29
7.6%
0 19
 
5.0%
Space Separator
ValueCountFrequency (%)
428
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1294
59.5%
Common 879
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 114
8.8%
도 108
 
8.3%
성 108
 
8.3%
남 108
 
8.3%
경 107
 
8.3%
동 107
 
8.3%
시 107
 
8.3%
기 107
 
8.3%
분 72
 
5.6%
당 72
 
5.6%
Other values (39) 284
21.9%
Common
ValueCountFrequency (%)
428
48.7%
- 68
 
7.7%
1 66
 
7.5%
5 50
 
5.7%
2 44
 
5.0%
4 42
 
4.8%
3 42
 
4.8%
9 32
 
3.6%
6 30
 
3.4%
7 29
 
3.3%
Other values (2) 48
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1294
59.5%
ASCII 879
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
428
48.7%
- 68
 
7.7%
1 66
 
7.5%
5 50
 
5.7%
2 44
 
5.0%
4 42
 
4.8%
3 42
 
4.8%
9 32
 
3.6%
6 30
 
3.4%
7 29
 
3.3%
Other values (2) 48
 
5.5%
Hangul
ValueCountFrequency (%)
구 114
8.8%
도 108
 
8.3%
성 108
 
8.3%
남 108
 
8.3%
경 107
 
8.3%
동 107
 
8.3%
시 107
 
8.3%
기 107
 
8.3%
분 72
 
5.6%
당 72
 
5.6%
Other values (39) 284
21.9%

위도
Real number (ℝ)

Distinct92
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.403568
Minimum37.336516
Maximum37.473993
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T17:54:44.907821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.336516
5-th percentile37.344327
Q137.37946
median37.395182
Q337.430621
95-th percentile37.465451
Maximum37.473993
Range0.13747706
Interquartile range (IQR)0.051161745

Descriptive statistics

Standard deviation0.036741318
Coefficient of variation (CV)0.00098229447
Kurtosis-0.9105092
Mean37.403568
Median Absolute Deviation (MAD)0.02671659
Skewness0.20814869
Sum4002.1817
Variance0.0013499244
MonotonicityNot monotonic
2023-12-12T17:54:45.091953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3873145 3
 
2.8%
37.37945974 3
 
2.8%
37.39518159 2
 
1.9%
37.34277929 2
 
1.9%
37.43009905 2
 
1.9%
37.368465 2
 
1.9%
37.38389582 2
 
1.9%
37.44234178 2
 
1.9%
37.3502988 2
 
1.9%
37.41306839 2
 
1.9%
Other values (82) 85
79.4%
ValueCountFrequency (%)
37.33651576 1
0.9%
37.34052951 1
0.9%
37.3408899 1
0.9%
37.34277929 2
1.9%
37.34376426 1
0.9%
37.3456406 1
0.9%
37.3502988 2
1.9%
37.35347173 1
0.9%
37.35714678 1
0.9%
37.35966541 1
0.9%
ValueCountFrequency (%)
37.47399282 1
0.9%
37.47372127 1
0.9%
37.47136012 1
0.9%
37.47045348 1
0.9%
37.46743929 1
0.9%
37.4663266 1
0.9%
37.46340637 1
0.9%
37.46280896 1
0.9%
37.46082156 1
0.9%
37.46031644 1
0.9%

경도
Real number (ℝ)

Distinct91
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.1279
Minimum127.06403
Maximum127.17449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T17:54:45.269727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.06403
5-th percentile127.10249
Q1127.10968
median127.12605
Q3127.1428
95-th percentile127.16813
Maximum127.17449
Range0.1104605
Interquartile range (IQR)0.03311425

Descriptive statistics

Standard deviation0.020575657
Coefficient of variation (CV)0.00016185005
Kurtosis-0.034911346
Mean127.1279
Median Absolute Deviation (MAD)0.0163647
Skewness0.26396333
Sum13602.685
Variance0.00042335766
MonotonicityNot monotonic
2023-12-12T17:54:45.432043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1166606 3
 
2.8%
127.1096848 3
 
2.8%
127.148092 2
 
1.9%
127.1043161 2
 
1.9%
127.1543224 2
 
1.9%
127.1285758 2
 
1.9%
127.1136235 2
 
1.9%
127.1690041 2
 
1.9%
127.1038411 2
 
1.9%
127.1443574 2
 
1.9%
Other values (81) 85
79.4%
ValueCountFrequency (%)
127.0640261 1
0.9%
127.0997899 1
0.9%
127.1012346 1
0.9%
127.1018306 2
1.9%
127.1023934 1
0.9%
127.1026989 1
0.9%
127.1038411 2
1.9%
127.1043161 2
1.9%
127.1044736 1
0.9%
127.104657 1
0.9%
ValueCountFrequency (%)
127.1744866 1
0.9%
127.1733496 1
0.9%
127.1690492 1
0.9%
127.1690041 2
1.9%
127.168905 1
0.9%
127.1663082 1
0.9%
127.1636926 1
0.9%
127.1629264 1
0.9%
127.1597772 1
0.9%
127.1543224 2
1.9%

게시대수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
1
107 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 107
100.0%

Length

2023-12-12T17:54:45.607989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:45.693261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 107
100.0%

현수막규격-너비(cm)
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
870
67 
600
40 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row600
2nd row600
3rd row600
4th row870
5th row600

Common Values

ValueCountFrequency (%)
870 67
62.6%
600 40
37.4%

Length

2023-12-12T17:54:45.784179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:45.904389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
870 67
62.6%
600 40
37.4%

현수막규격-높이(cm)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
70
107 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row70
2nd row70
3rd row70
4th row70
5th row70

Common Values

ValueCountFrequency (%)
70 107
100.0%

Length

2023-12-12T17:54:46.032300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:46.144906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
70 107
100.0%

게시면 수(행정용)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
유동적
107 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유동적 107
100.0%

Length

2023-12-12T17:54:46.253123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:46.445135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유동적 107
100.0%

게시면 수(상업용)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
6
107 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
3rd row6
4th row6
5th row6

Common Values

ValueCountFrequency (%)
6 107
100.0%

Length

2023-12-12T17:54:46.628149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:46.789353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 107
100.0%

부착일수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
7
107 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
7 107
100.0%

Length

2023-12-12T17:54:46.954810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:47.146147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 107
100.0%

부착금액(행정용)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
7700
107 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7700
2nd row7700
3rd row7700
4th row7700
5th row7700

Common Values

ValueCountFrequency (%)
7700 107
100.0%

Length

2023-12-12T17:54:47.289073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:47.407969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7700 107
100.0%

부착금액(상업용)
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
17630
67 
15320
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15320
2nd row15320
3rd row15320
4th row17630
5th row15320

Common Values

ValueCountFrequency (%)
17630 67
62.6%
15320 40
37.4%

Length

2023-12-12T17:54:47.560046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:47.705251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
17630 67
62.6%
15320 40
37.4%

부착금액(민원수수료)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
3000
107 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000
2nd row3000
3rd row3000
4th row3000
5th row3000

Common Values

ValueCountFrequency (%)
3000 107
100.0%

Length

2023-12-12T17:54:47.852271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:47.989911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000 107
100.0%

부착금액(일일도로점용료)
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
990
67 
660
40 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row660
2nd row660
3rd row660
4th row990
5th row660

Common Values

ValueCountFrequency (%)
990 67
62.6%
660 40
37.4%

Length

2023-12-12T17:54:48.117595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:48.232245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
990 67
62.6%
660 40
37.4%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
(사)성남시새마을회
107 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(사)성남시새마을회
2nd row(사)성남시새마을회
3rd row(사)성남시새마을회
4th row(사)성남시새마을회
5th row(사)성남시새마을회

Common Values

ValueCountFrequency (%)
(사)성남시새마을회 107
100.0%

Length

2023-12-12T17:54:48.366366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:48.526162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사)성남시새마을회 107
100.0%

관리기관 전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
031-701-8550
107 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-701-8550
2nd row031-701-8550
3rd row031-701-8550
4th row031-701-8550
5th row031-701-8550

Common Values

ValueCountFrequency (%)
031-701-8550 107
100.0%

Length

2023-12-12T17:54:48.721303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:48.863224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-701-8550 107
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2023-05-31 00:00:00
Maximum2023-05-31 00:00:00
2023-12-12T17:54:48.976309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:54:49.101142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시군명읍면동명용도구분게시대명소재지도로명주소소재지지번주소위도경도게시대수현수막규격-너비(cm)현수막규격-높이(cm)게시면 수(행정용)게시면 수(상업용)부착일수부착금액(행정용)부착금액(상업용)부착금액(민원수수료)부착금액(일일도로점용료)관리기관명관리기관 전화번호데이터기준일자
0성남시복정동상업용+행정용가천대학교테니스장앞경기도 성남시 수정구 성남대로경기도 성남시 수정구 복정동 599-237.453655127.126791160070유동적677700153203000660(사)성남시새마을회031-701-85502023-05-31
1성남시복정동상업용+행정용동서울대학교 정문 건너편경기도 성남시 수정구 성남대로경기도 성남시 수정구 복정동 440-637.460822127.125628160070유동적677700153203000660(사)성남시새마을회031-701-85502023-05-31
2성남시창곡동상업용+행정용산성역3번출구경기도 성남시 수정구 헌릉로경기도 성남시 수정구 창곡동 496-4037.45616127.149728160070유동적677700153203000660(사)성남시새마을회031-701-85502023-05-31
3성남시수진2동상업용+행정용공영주차장 고가도로 옆경기도 성남시 수정구 제일로 99경기도 성남시 수정구 수진동 4510-337.43498127.134324187070유동적677700176303000990(사)성남시새마을회031-701-85502023-05-31
4성남시신흥동상업용+행정용성남혜은학교 입구경기도 성남시 수정구 희망로 513경기도 성남시 수정구 신흥동 15337.449774127.153043160070유동적677700153203000660(사)성남시새마을회031-701-85502023-05-31
5성남시신흥동상업용+행정용성남초등학교 사거리경기도 성남시 수정구 공원로경기도 성남시 수정구 신흥동 174837.446325127.145801160070유동적677700153203000660(사)성남시새마을회031-701-85502023-05-31
6성남시신흥동상업용+행정용산성역 사거리 좌측(인공폭포 앞)경기도 성남시 수정구 수정로경기도 성남시 수정구 신흥동 737.457085127.150261187070유동적677700176303000990(사)성남시새마을회031-701-85502023-05-31
7성남시신흥동상업용+행정용산성역 사거리 우측(인공폭포 앞)경기도 성남시 수정구 수정로경기도 성남시 수정구 신흥동 737.457085127.150261187070유동적677700176303000990(사)성남시새마을회031-701-85502023-05-31
8성남시복정동상업용+행정용동서울대학교 정문옆경기도 성남시 수정구 성남대로경기도 성남시 수정구 복정동 67637.460316127.126141187070유동적677700176303000990(사)성남시새마을회031-701-85502023-05-31
9성남시복정동상업용+행정용복정파출소 건너편경기도 성남시 수정구 성남대로경기도 성남시 수정구 복정동 산71-3537.456161127.126049187070유동적677700176303000990(사)성남시새마을회031-701-85502023-05-31
시군명읍면동명용도구분게시대명소재지도로명주소소재지지번주소위도경도게시대수현수막규격-너비(cm)현수막규격-높이(cm)게시면 수(행정용)게시면 수(상업용)부착일수부착금액(행정용)부착금액(상업용)부착금액(민원수수료)부착금액(일일도로점용료)관리기관명관리기관 전화번호데이터기준일자
97성남시삼평동상업용+행정용판교IC 입구 (화랑공원방향)경기도 성남시 분당구 대왕판교로경기도 성남시 분당구 삼평동 638-137.394659127.10576187070유동적677700176303000990(사)성남시새마을회031-701-85502023-05-31
98성남시판교동상업용+행정용낙생고 삼거리(판교동 방향)경기도 성남시 분당구 운중로경기도 성남시 분당구 판교동 58337.388583127.101235187070유동적677700176303000990(사)성남시새마을회031-701-85502023-05-31
99성남시운중동상업용+행정용운중교차로사거리경기도 성남시 분당구 안양판교로경기도 성남시 분당구 운중동 90337.391058127.064026187070유동적677700176303000990(사)성남시새마을회031-701-85502023-05-31
100성남시판교동상업용+행정용낙생고삼거리(판교IC방향) 좌측경기도 성남시 분당구 대왕판교로경기도 성남시 분당구 판교동 583-437.388849127.101831187070유동적677700176303000990(사)성남시새마을회031-701-85502023-05-31
101성남시판교동상업용+행정용낙생고 삼거리 (판교IC방향) 우측경기도 성남시 분당구 대왕판교로경기도 성남시 분당구 판교동 583-437.388849127.101831187070유동적677700176303000990(사)성남시새마을회031-701-85502023-05-31
102성남시백현동상업용+행정용분당수서로 세계로 60번길 입구 좌측경기도 성남시 분당구 분당수서로경기도 성남시 분당구 백현동 546-337.387315127.116661187070유동적677700176303000990(사)성남시새마을회031-701-85502023-05-31
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