Overview

Dataset statistics

Number of variables11
Number of observations86
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory91.5 B

Variable types

Categorical7
Text1
Numeric2
DateTime1

Dataset

Description달성군 쓰레기통 설치 현황에 대한 자료시도명, 시군구명, 도로(가로명) 설치주소, 설치지점, 쓰레기통 종류, 관리기관명, 관리기관전화번호, 데이터기준일자 등을 제공-------------------------------------------------------------------------
Author대구광역시 달성군
URLhttps://www.data.go.kr/data/15041640/fileData.do

Alerts

시도명 has constant value ""Constant
설치지점 has constant value ""Constant
쓰레기통 종류 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 도로명(가로)명High correlation
도로명(가로)명 is highly overall correlated with 위도High correlation

Reproduction

Analysis started2024-04-13 12:09:37.463652
Analysis finished2024-04-13 12:09:41.734636
Duration4.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size816.0 B
대구광역시
86 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 86
100.0%

Length

2024-04-13T21:09:41.921862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:09:42.231801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 86
100.0%

설치주소
Text

Distinct82
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size816.0 B
2024-04-13T21:09:43.280735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length22.127907
Min length19

Characters and Unicode

Total characters1903
Distinct characters88
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)90.7%

Sample

1st row대구광역시 달성군 화원읍 비슬로 2705(1번출구)
2nd row대구광역시 달성군 화원읍 비슬로 2679
3rd row대구광역시 달성군 화원읍 비슬로 2674
4th row대구광역시 달성군 화원읍 비슬로 2611
5th row대구광역시 달성군 화원읍 비슬로 2620
ValueCountFrequency (%)
대구광역시 86
20.0%
달성군 86
20.0%
화원읍 30
 
7.0%
비슬로 19
 
4.4%
다사읍 18
 
4.2%
달구벌대로 10
 
2.3%
가창면 8
 
1.9%
옥포읍 8
 
1.9%
구지면 7
 
1.6%
하빈면 6
 
1.4%
Other values (122) 153
35.5%
2024-04-13T21:09:44.785042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
345
18.1%
구 105
 
5.5%
대 98
 
5.1%
달 97
 
5.1%
성 91
 
4.8%
군 87
 
4.6%
시 86
 
4.5%
역 86
 
4.5%
광 86
 
4.5%
로 70
 
3.7%
Other values (78) 752
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1259
66.2%
Space Separator 345
 
18.1%
Decimal Number 283
 
14.9%
Dash Punctuation 14
 
0.7%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 105
 
8.3%
대 98
 
7.8%
달 97
 
7.7%
성 91
 
7.2%
군 87
 
6.9%
시 86
 
6.8%
역 86
 
6.8%
광 86
 
6.8%
로 70
 
5.6%
읍 65
 
5.2%
Other values (64) 388
30.8%
Decimal Number
ValueCountFrequency (%)
1 58
20.5%
2 50
17.7%
5 28
9.9%
0 27
9.5%
7 24
8.5%
3 22
 
7.8%
8 22
 
7.8%
4 21
 
7.4%
9 20
 
7.1%
6 11
 
3.9%
Space Separator
ValueCountFrequency (%)
345
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1259
66.2%
Common 644
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 105
 
8.3%
대 98
 
7.8%
달 97
 
7.7%
성 91
 
7.2%
군 87
 
6.9%
시 86
 
6.8%
역 86
 
6.8%
광 86
 
6.8%
로 70
 
5.6%
읍 65
 
5.2%
Other values (64) 388
30.8%
Common
ValueCountFrequency (%)
345
53.6%
1 58
 
9.0%
2 50
 
7.8%
5 28
 
4.3%
0 27
 
4.2%
7 24
 
3.7%
3 22
 
3.4%
8 22
 
3.4%
4 21
 
3.3%
9 20
 
3.1%
Other values (4) 27
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1259
66.2%
ASCII 644
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
345
53.6%
1 58
 
9.0%
2 50
 
7.8%
5 28
 
4.3%
0 27
 
4.2%
7 24
 
3.7%
3 22
 
3.4%
8 22
 
3.4%
4 21
 
3.3%
9 20
 
3.1%
Other values (4) 27
 
4.2%
Hangul
ValueCountFrequency (%)
구 105
 
8.3%
대 98
 
7.8%
달 97
 
7.7%
성 91
 
7.2%
군 87
 
6.9%
시 86
 
6.8%
역 86
 
6.8%
광 86
 
6.8%
로 70
 
5.6%
읍 65
 
5.2%
Other values (64) 388
30.8%

설치지점
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size816.0 B
도로(가로)변
86 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도로(가로)변
2nd row도로(가로)변
3rd row도로(가로)변
4th row도로(가로)변
5th row도로(가로)변

Common Values

ValueCountFrequency (%)
도로(가로)변 86
100.0%

Length

2024-04-13T21:09:45.178391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:09:45.484246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로(가로)변 86
100.0%

쓰레기통 종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size816.0 B
일반쓰레기수거용
86 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반쓰레기수거용 86
100.0%

Length

2024-04-13T21:09:45.796127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:09:46.098968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반쓰레기수거용 86
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size816.0 B
달성군청
86 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
달성군청 86
100.0%

Length

2024-04-13T21:09:46.419484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:09:46.723417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달성군청 86
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size816.0 B
053-668-2714
86 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-668-2714
2nd row053-668-2714
3rd row053-668-2714
4th row053-668-2714
5th row053-668-2714

Common Values

ValueCountFrequency (%)
053-668-2714 86
100.0%

Length

2024-04-13T21:09:47.036549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:09:47.340150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-668-2714 86
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size816.0 B
달성군
86 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
달성군 86
100.0%

Length

2024-04-13T21:09:47.664964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:09:47.966298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달성군 86
100.0%

도로명(가로)명
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Memory size816.0 B
비슬로
19 
달구벌대로
11 
가창로
8 
명천로
7 
사문진로
5 
Other values (27)
36 

Length

Max length6
Median length3
Mean length3.627907
Min length3

Unique

Unique20 ?
Unique (%)23.3%

Sample

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

Common Values

ValueCountFrequency (%)
비슬로 19
22.1%
달구벌대로 11
12.8%
가창로 8
 
9.3%
명천로 7
 
8.1%
사문진로 5
 
5.8%
서재로 4
 
4.7%
화암로 2
 
2.3%
테크노상업로 2
 
2.3%
과학마을로 2
 
2.3%
창리로 2
 
2.3%
Other values (22) 24
27.9%

Length

2024-04-13T21:09:48.318338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
비슬로 19
22.1%
달구벌대로 11
12.8%
가창로 8
 
9.3%
명천로 7
 
8.1%
사문진로 5
 
5.8%
서재로 4
 
4.7%
창리로 2
 
2.3%
돌미로 2
 
2.3%
용연사길 2
 
2.3%
과학마을로 2
 
2.3%
Other values (22) 24
27.9%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.796342
Minimum35.629771
Maximum35.904691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size902.0 B
2024-04-13T21:09:48.700952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.629771
5-th percentile35.654783
Q135.787233
median35.800398
Q335.858752
95-th percentile35.877569
Maximum35.904691
Range0.2749191
Interquartile range (IQR)0.071519875

Descriptive statistics

Standard deviation0.06464226
Coefficient of variation (CV)0.0018058342
Kurtosis0.43153068
Mean35.796342
Median Absolute Deviation (MAD)0.02466645
Skewness-0.88012736
Sum3078.4854
Variance0.0041786218
MonotonicityNot monotonic
2024-04-13T21:09:48.992626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8003982 3
 
3.5%
35.8593802 2
 
2.3%
35.8616634 2
 
2.3%
35.798498 2
 
2.3%
35.8129354 2
 
2.3%
35.6973058 2
 
2.3%
35.7896321 2
 
2.3%
35.6774198 1
 
1.2%
35.8745546 1
 
1.2%
35.8765435 1
 
1.2%
Other values (68) 68
79.1%
ValueCountFrequency (%)
35.6297715 1
1.2%
35.6490215 1
1.2%
35.649423 1
1.2%
35.6520683 1
1.2%
35.6545437 1
1.2%
35.6554993 1
1.2%
35.6587707 1
1.2%
35.6594436 1
1.2%
35.6774198 1
1.2%
35.6973058 2
2.3%
ValueCountFrequency (%)
35.9046906 1
1.2%
35.8865043 1
1.2%
35.882567 1
1.2%
35.8802459 1
1.2%
35.8779107 1
1.2%
35.8765435 1
1.2%
35.875809 1
1.2%
35.8745546 1
1.2%
35.8742522 1
1.2%
35.8691581 1
1.2%

경도
Real number (ℝ)

Distinct78
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.48111
Minimum128.39948
Maximum128.6482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size902.0 B
2024-04-13T21:09:49.398418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.39948
5-th percentile128.41324
Q1128.44669
median128.48102
Q3128.49556
95-th percentile128.62525
Maximum128.6482
Range0.2487182
Interquartile range (IQR)0.048873075

Descriptive statistics

Standard deviation0.057246409
Coefficient of variation (CV)0.00044556284
Kurtosis2.0854228
Mean128.48111
Median Absolute Deviation (MAD)0.02246905
Skewness1.4001738
Sum11049.376
Variance0.0032771514
MonotonicityNot monotonic
2024-04-13T21:09:49.658627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.4934974 3
 
3.5%
128.4466289 2
 
2.3%
128.4582935 2
 
2.3%
128.49454 2
 
2.3%
128.4810178 2
 
2.3%
128.4476215 2
 
2.3%
128.463792 2
 
2.3%
128.4554311 1
 
1.2%
128.4814425 1
 
1.2%
128.4963682 1
 
1.2%
Other values (68) 68
79.1%
ValueCountFrequency (%)
128.3994817 1
1.2%
128.4025733 1
1.2%
128.4077494 1
1.2%
128.4081028 1
1.2%
128.4131816 1
1.2%
128.4134255 1
1.2%
128.4135612 1
1.2%
128.4147205 1
1.2%
128.417368 1
1.2%
128.4174824 1
1.2%
ValueCountFrequency (%)
128.6481999 1
1.2%
128.638724 1
1.2%
128.6345625 1
1.2%
128.6277085 1
1.2%
128.6258951 1
1.2%
128.6233124 1
1.2%
128.622956 1
1.2%
128.6225315 1
1.2%
128.5211241 1
1.2%
128.511514 1
1.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size816.0 B
Minimum2024-04-08 00:00:00
Maximum2024-04-08 00:00:00
2024-04-13T21:09:49.858050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:09:50.012471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-13T21:09:40.429259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:09:39.936373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:09:40.671382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:09:40.185148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T21:09:50.135221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치주소도로명(가로)명위도경도
설치주소1.0001.0001.0000.966
도로명(가로)명1.0001.0000.9350.840
위도1.0000.9351.0000.707
경도0.9660.8400.7071.000
2024-04-13T21:09:50.290713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도도로명(가로)명
위도1.0000.0980.590
경도0.0981.0000.416
도로명(가로)명0.5900.4161.000

Missing values

2024-04-13T21:09:41.023231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T21:09:41.524219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시도명설치주소설치지점쓰레기통 종류관리기관명관리기관전화번호시군구명도로명(가로)명위도경도데이터기준일자
0대구광역시대구광역시 달성군 화원읍 비슬로 2705(1번출구)도로(가로)변일반쓰레기수거용달성군청053-668-2714달성군비슬로35.808365128.5084392024-04-08
1대구광역시대구광역시 달성군 화원읍 비슬로 2679도로(가로)변일반쓰레기수거용달성군청053-668-2714달성군비슬로35.807208128.5080752024-04-08
2대구광역시대구광역시 달성군 화원읍 비슬로 2674도로(가로)변일반쓰레기수거용달성군청053-668-2714달성군비슬로35.805185128.5021472024-04-08
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