Overview

Dataset statistics

Number of variables13
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory108.5 B

Variable types

Numeric3
Text3
Categorical6
DateTime1

Dataset

Description광주광역시 광산구 관내에 위치한 가로 쓰레기통 현황(관리번호, 도로명, 행정동, 설치주소, 세부위치, 위도, 경도, 수거쓰레기종류, 쓰레기통 종류 등)을 제공합니다.
Author광주광역시 광산구
URLhttps://www.data.go.kr/data/15108027/fileData.do

Alerts

수거쓰레기종류 has constant value ""Constant
쓰레기통종류 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 도로명 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
도로명 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
행정동 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
연번 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:24:40.006236
Analysis finished2023-12-12 23:24:41.526025
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T08:24:41.597102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.5
Q123.5
median46
Q368.5
95-th percentile86.5
Maximum91
Range90
Interquartile range (IQR)45

Descriptive statistics

Standard deviation26.41338
Coefficient of variation (CV)0.57420392
Kurtosis-1.2
Mean46
Median Absolute Deviation (MAD)23
Skewness0
Sum4186
Variance697.66667
MonotonicityStrictly increasing
2023-12-13T08:24:41.743502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
59 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%

관리번호
Text

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-13T08:24:42.107695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.9010989
Min length5

Characters and Unicode

Total characters537
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

Unique91 ?
Unique (%)100.0%

Sample

1st row광산구-1
2nd row광산구-2
3rd row광산구-3
4th row광산구-4
5th row광산구-5
ValueCountFrequency (%)
광산구-1 1
 
1.1%
광산구-47 1
 
1.1%
광산구-67 1
 
1.1%
광산구-66 1
 
1.1%
광산구-65 1
 
1.1%
광산구-64 1
 
1.1%
광산구-63 1
 
1.1%
광산구-62 1
 
1.1%
광산구-61 1
 
1.1%
광산구-60 1
 
1.1%
Other values (81) 81
89.0%
2023-12-13T08:24:42.530443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 91
16.9%
산 91
16.9%
구 91
16.9%
- 91
16.9%
1 20
 
3.7%
2 19
 
3.5%
4 19
 
3.5%
3 19
 
3.5%
5 19
 
3.5%
6 19
 
3.5%
Other values (4) 58
10.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
50.8%
Decimal Number 173
32.2%
Dash Punctuation 91
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 20
11.6%
2 19
11.0%
4 19
11.0%
3 19
11.0%
5 19
11.0%
6 19
11.0%
7 19
11.0%
8 19
11.0%
9 11
6.4%
0 9
5.2%
Other Letter
ValueCountFrequency (%)
광 91
33.3%
산 91
33.3%
구 91
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 273
50.8%
Common 264
49.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 91
34.5%
1 20
 
7.6%
2 19
 
7.2%
4 19
 
7.2%
3 19
 
7.2%
5 19
 
7.2%
6 19
 
7.2%
7 19
 
7.2%
8 19
 
7.2%
9 11
 
4.2%
Hangul
ValueCountFrequency (%)
광 91
33.3%
산 91
33.3%
구 91
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
50.8%
ASCII 264
49.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 91
33.3%
산 91
33.3%
구 91
33.3%
ASCII
ValueCountFrequency (%)
- 91
34.5%
1 20
 
7.6%
2 19
 
7.2%
4 19
 
7.2%
3 19
 
7.2%
5 19
 
7.2%
6 19
 
7.2%
7 19
 
7.2%
8 19
 
7.2%
9 11
 
4.2%

도로명
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size860.0 B
동곡로
15 
첨단중앙로
10 
사암로
10 
임방울대로
9 
상무대로
7 
Other values (18)
40 

Length

Max length5
Median length3
Mean length3.6703297
Min length3

Unique

Unique7 ?
Unique (%)7.7%

Sample

1st row상무대로
2nd row상무대로
3rd row송도로
4th row상무대로
5th row상무대로

Common Values

ValueCountFrequency (%)
동곡로 15
16.5%
첨단중앙로 10
11.0%
사암로 10
11.0%
임방울대로 9
9.9%
상무대로 7
 
7.7%
하남대로 6
 
6.6%
신창로 6
 
6.6%
장신로 4
 
4.4%
목련로 3
 
3.3%
어등대로 2
 
2.2%
Other values (13) 19
20.9%

Length

2023-12-13T08:24:42.664567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동곡로 15
16.5%
사암로 10
11.0%
첨단중앙로 10
11.0%
임방울대로 9
9.9%
상무대로 7
 
7.7%
하남대로 6
 
6.6%
신창로 6
 
6.6%
장신로 4
 
4.4%
목련로 3
 
3.3%
수등로 2
 
2.2%
Other values (13) 19
20.9%

행정동
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size860.0 B
동곡동
15 
첨단1동
13 
월곡2동
10 
신창동
9 
첨단2동
7 
Other values (12)
37 

Length

Max length4
Median length3
Mean length3.4175824
Min length3

Unique

Unique4 ?
Unique (%)4.4%

Sample

1st row송정1동
2nd row송정1동
3rd row송정2동
4th row송정2동
5th row송정2동

Common Values

ValueCountFrequency (%)
동곡동 15
16.5%
첨단1동 13
14.3%
월곡2동 10
11.0%
신창동 9
9.9%
첨단2동 7
7.7%
우산동 7
7.7%
수완동 6
 
6.6%
운남동 5
 
5.5%
송정2동 5
 
5.5%
신가동 3
 
3.3%
Other values (7) 11
12.1%

Length

2023-12-13T08:24:42.776534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동곡동 15
16.5%
첨단1동 13
14.3%
월곡2동 10
11.0%
신창동 9
9.9%
첨단2동 7
7.7%
우산동 7
7.7%
수완동 6
 
6.6%
송정2동 5
 
5.5%
운남동 5
 
5.5%
신가동 3
 
3.3%
Other values (7) 11
12.1%

설치주소
Text

Distinct85
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-13T08:24:43.042943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length19.10989
Min length17

Characters and Unicode

Total characters1739
Distinct characters53
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 (%)86.8%

Sample

1st row광주광역시 광산구 신촌동 689-1
2nd row광주광역시 광산구 상무대로 268
3rd row광주광역시 광산구 송정동 887-12
4th row광주광역시 광산구 송정동 1415
5th row광주광역시 광산구 상무대로 214
ValueCountFrequency (%)
광주광역시 91
25.0%
광산구 91
25.0%
월곡동 12
 
3.3%
월계동 11
 
3.0%
신가동 8
 
2.2%
쌍암동 6
 
1.6%
신창동 6
 
1.6%
복룡동 5
 
1.4%
우산동 5
 
1.4%
운남동 5
 
1.4%
Other values (102) 124
34.1%
2023-12-13T08:24:43.505144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 273
15.7%
273
15.7%
산 103
 
5.9%
주 91
 
5.2%
역 91
 
5.2%
시 91
 
5.2%
구 91
 
5.2%
동 88
 
5.1%
1 81
 
4.7%
- 73
 
4.2%
Other values (43) 484
27.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1004
57.7%
Decimal Number 389
 
22.4%
Space Separator 273
 
15.7%
Dash Punctuation 73
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 273
27.2%
산 103
 
10.3%
주 91
 
9.1%
역 91
 
9.1%
시 91
 
9.1%
구 91
 
9.1%
동 88
 
8.8%
월 26
 
2.6%
신 16
 
1.6%
계 15
 
1.5%
Other values (31) 119
11.9%
Decimal Number
ValueCountFrequency (%)
1 81
20.8%
2 47
12.1%
8 42
10.8%
3 39
10.0%
6 37
9.5%
5 36
9.3%
7 36
9.3%
9 28
 
7.2%
4 23
 
5.9%
0 20
 
5.1%
Space Separator
ValueCountFrequency (%)
273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1004
57.7%
Common 735
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 273
27.2%
산 103
 
10.3%
주 91
 
9.1%
역 91
 
9.1%
시 91
 
9.1%
구 91
 
9.1%
동 88
 
8.8%
월 26
 
2.6%
신 16
 
1.6%
계 15
 
1.5%
Other values (31) 119
11.9%
Common
ValueCountFrequency (%)
273
37.1%
1 81
 
11.0%
- 73
 
9.9%
2 47
 
6.4%
8 42
 
5.7%
3 39
 
5.3%
6 37
 
5.0%
5 36
 
4.9%
7 36
 
4.9%
9 28
 
3.8%
Other values (2) 43
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1004
57.7%
ASCII 735
42.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 273
27.2%
산 103
 
10.3%
주 91
 
9.1%
역 91
 
9.1%
시 91
 
9.1%
구 91
 
9.1%
동 88
 
8.8%
월 26
 
2.6%
신 16
 
1.6%
계 15
 
1.5%
Other values (31) 119
11.9%
ASCII
ValueCountFrequency (%)
273
37.1%
1 81
 
11.0%
- 73
 
9.9%
2 47
 
6.4%
8 42
 
5.7%
3 39
 
5.3%
6 37
 
5.0%
5 36
 
4.9%
7 36
 
4.9%
9 28
 
3.8%
Other values (2) 43
 
5.9%

세부위치
Text

Distinct59
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-13T08:24:43.759074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length11.010989
Min length3

Characters and Unicode

Total characters1002
Distinct characters141
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

Unique53 ?
Unique (%)58.2%

Sample

1st row공항역 버스정류장
2nd row송정KT빌딩 앞 버스정류장
3rd row송정5일시장 주차장 입구 버스정류장
4th row광주송정역 버스정류장
5th row광주송정역 버스정류장
ValueCountFrequency (%)
버스정류장 64
30.8%
앞 15
 
7.2%
사거리 13
 
6.2%
맞은편 11
 
5.3%
부근 10
 
4.8%
횡단보도 9
 
4.3%
방면 5
 
2.4%
정문 3
 
1.4%
첨단 3
 
1.4%
광주송정역 3
 
1.4%
Other values (62) 72
34.6%
2023-12-13T08:24:44.148564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
11.7%
정 77
 
7.7%
장 73
 
7.3%
스 73
 
7.3%
버 68
 
6.8%
류 68
 
6.8%
단 24
 
2.4%
리 20
 
2.0%
거 15
 
1.5%
앞 15
 
1.5%
Other values (131) 452
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 847
84.5%
Space Separator 117
 
11.7%
Decimal Number 11
 
1.1%
Open Punctuation 9
 
0.9%
Close Punctuation 9
 
0.9%
Uppercase Letter 8
 
0.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 77
 
9.1%
장 73
 
8.6%
스 73
 
8.6%
버 68
 
8.0%
류 68
 
8.0%
단 24
 
2.8%
리 20
 
2.4%
거 15
 
1.8%
앞 15
 
1.8%
사 14
 
1.7%
Other values (116) 400
47.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
25.0%
L 2
25.0%
C 1
12.5%
G 1
12.5%
K 1
12.5%
T 1
12.5%
Decimal Number
ValueCountFrequency (%)
1 4
36.4%
5 3
27.3%
3 2
18.2%
2 1
 
9.1%
6 1
 
9.1%
Space Separator
ValueCountFrequency (%)
117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 847
84.5%
Common 147
 
14.7%
Latin 8
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 77
 
9.1%
장 73
 
8.6%
스 73
 
8.6%
버 68
 
8.0%
류 68
 
8.0%
단 24
 
2.8%
리 20
 
2.4%
거 15
 
1.8%
앞 15
 
1.8%
사 14
 
1.7%
Other values (116) 400
47.2%
Common
ValueCountFrequency (%)
117
79.6%
( 9
 
6.1%
) 9
 
6.1%
1 4
 
2.7%
5 3
 
2.0%
3 2
 
1.4%
- 1
 
0.7%
2 1
 
0.7%
6 1
 
0.7%
Latin
ValueCountFrequency (%)
S 2
25.0%
L 2
25.0%
C 1
12.5%
G 1
12.5%
K 1
12.5%
T 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 847
84.5%
ASCII 155
 
15.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
75.5%
( 9
 
5.8%
) 9
 
5.8%
1 4
 
2.6%
5 3
 
1.9%
3 2
 
1.3%
S 2
 
1.3%
L 2
 
1.3%
- 1
 
0.6%
C 1
 
0.6%
Other values (5) 5
 
3.2%
Hangul
ValueCountFrequency (%)
정 77
 
9.1%
장 73
 
8.6%
스 73
 
8.6%
버 68
 
8.0%
류 68
 
8.0%
단 24
 
2.8%
리 20
 
2.4%
거 15
 
1.8%
앞 15
 
1.8%
사 14
 
1.7%
Other values (116) 400
47.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct85
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.169269
Minimum35.080845
Maximum35.222101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T08:24:44.326058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.080845
5-th percentile35.094411
Q135.144172
median35.176093
Q335.193142
95-th percentile35.219863
Maximum35.222101
Range0.14125588
Interquartile range (IQR)0.04897032

Descriptive statistics

Standard deviation0.039403429
Coefficient of variation (CV)0.0011203938
Kurtosis-0.49863883
Mean35.169269
Median Absolute Deviation (MAD)0.030650931
Skewness-0.61052227
Sum3200.4035
Variance0.0015526302
MonotonicityNot monotonic
2023-12-13T08:24:44.833519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.1673448294 2
 
2.2%
35.1891499983 2
 
2.2%
35.2181250926 2
 
2.2%
35.1850279996 2
 
2.2%
35.2213837188 2
 
2.2%
35.2185466567 2
 
2.2%
35.2185506256 1
 
1.1%
35.2142980642 1
 
1.1%
35.2131715971 1
 
1.1%
35.2198626226 1
 
1.1%
Other values (75) 75
82.4%
ValueCountFrequency (%)
35.0808451 1
1.1%
35.0810226246 1
1.1%
35.0859505286 1
1.1%
35.091394 1
1.1%
35.0914487319 1
1.1%
35.0973737106 1
1.1%
35.0978204725 1
1.1%
35.1016539725 1
1.1%
35.1016877341 1
1.1%
35.1073256984 1
1.1%
ValueCountFrequency (%)
35.2221009762 1
1.1%
35.2213837188 2
2.2%
35.2198745774 1
1.1%
35.219864047 1
1.1%
35.2198626226 1
1.1%
35.2195270753 1
1.1%
35.2185506256 1
1.1%
35.2185466567 2
2.2%
35.2182267463 1
1.1%
35.2181250926 2
2.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct85
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.81389
Minimum126.76613
Maximum126.84877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T08:24:44.993879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.76613
5-th percentile126.77346
Q1126.79656
median126.81124
Q3126.83726
95-th percentile126.8435
Maximum126.84877
Range0.082645381
Interquartile range (IQR)0.040700835

Descriptive statistics

Standard deviation0.023799479
Coefficient of variation (CV)0.0001876725
Kurtosis-1.0794131
Mean126.81389
Median Absolute Deviation (MAD)0.021687148
Skewness-0.32594927
Sum11540.064
Variance0.00056641522
MonotonicityNot monotonic
2023-12-13T08:24:45.140615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8082320571 2
 
2.2%
126.8372626956 2
 
2.2%
126.8387557088 2
 
2.2%
126.8186595118 2
 
2.2%
126.8422588018 2
 
2.2%
126.8416998645 2
 
2.2%
126.8423500652 1
 
1.1%
126.843328527 1
 
1.1%
126.8364079707 1
 
1.1%
126.8442882844 1
 
1.1%
Other values (75) 75
82.4%
ValueCountFrequency (%)
126.7661273912 1
1.1%
126.7665019 1
1.1%
126.7716261191 1
1.1%
126.7725211732 1
1.1%
126.7729998 1
1.1%
126.7739134055 1
1.1%
126.7756844977 1
1.1%
126.7780946764 1
1.1%
126.7783325948 1
1.1%
126.7786699384 1
1.1%
ValueCountFrequency (%)
126.8487727724 1
1.1%
126.8478006496 1
1.1%
126.8458684915 1
1.1%
126.8442882844 1
1.1%
126.8436519124 1
1.1%
126.843355385 1
1.1%
126.843328527 1
1.1%
126.8430583897 1
1.1%
126.8423635543 1
1.1%
126.8423500652 1
1.1%

수거쓰레기종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
가로 쓰레기
91 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가로 쓰레기
2nd row가로 쓰레기
3rd row가로 쓰레기
4th row가로 쓰레기
5th row가로 쓰레기

Common Values

ValueCountFrequency (%)
가로 쓰레기 91
100.0%

Length

2023-12-13T08:24:45.272674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:24:45.368305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가로 91
50.0%
쓰레기 91
50.0%

쓰레기통종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
가로변쓰레기통
91 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가로변쓰레기통 91
100.0%

Length

2023-12-13T08:24:45.476850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:24:45.558846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가로변쓰레기통 91
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
광주광역시 광산구청
91 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광주광역시 광산구청
2nd row광주광역시 광산구청
3rd row광주광역시 광산구청
4th row광주광역시 광산구청
5th row광주광역시 광산구청

Common Values

ValueCountFrequency (%)
광주광역시 광산구청 91
100.0%

Length

2023-12-13T08:24:45.651930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:24:45.734687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 91
50.0%
광산구청 91
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
062-960-8473
91 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row062-960-8473
2nd row062-960-8473
3rd row062-960-8473
4th row062-960-8473
5th row062-960-8473

Common Values

ValueCountFrequency (%)
062-960-8473 91
100.0%

Length

2023-12-13T08:24:45.839713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:24:45.921943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
062-960-8473 91
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
Minimum2022-11-08 00:00:00
Maximum2022-11-08 00:00:00
2023-12-13T08:24:46.000216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:24:46.104099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T08:24:40.996451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:24:40.514480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:24:40.745525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:24:41.070883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:24:40.577999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:24:40.829240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:24:41.151316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:24:40.669969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:24:40.917461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:24:46.181907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리번호도로명행정동설치주소세부위치위도경도
연번1.0001.0000.9300.9551.0000.8240.9460.922
관리번호1.0001.0001.0001.0001.0001.0001.0001.000
도로명0.9301.0001.0000.9721.0000.9820.8960.924
행정동0.9551.0000.9721.0001.0000.9210.9010.922
설치주소1.0001.0001.0001.0001.0000.0001.0001.000
세부위치0.8241.0000.9820.9210.0001.0000.0000.736
위도0.9461.0000.8960.9011.0000.0001.0000.929
경도0.9221.0000.9240.9221.0000.7360.9291.000
2023-12-13T08:24:46.294098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로명행정동
도로명1.0000.745
행정동0.7451.000
2023-12-13T08:24:46.382407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도도로명행정동
연번1.0000.1340.0930.6580.787
위도0.1341.0000.9360.5590.617
경도0.0930.9361.0000.6230.668
도로명0.6580.5590.6231.0000.745
행정동0.7870.6170.6680.7451.000

Missing values

2023-12-13T08:24:41.255948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:24:41.463204image/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

연번관리번호도로명행정동설치주소세부위치위도경도수거쓰레기종류쓰레기통종류관리기관명관리기관전화번호데이터기준일자
01광산구-1상무대로송정1동광주광역시 광산구 신촌동 689-1공항역 버스정류장35.143928126.810187가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
12광산구-2상무대로송정1동광주광역시 광산구 상무대로 268송정KT빌딩 앞 버스정류장35.141539126.795693가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
23광산구-3송도로송정2동광주광역시 광산구 송정동 887-12송정5일시장 주차장 입구 버스정류장35.135919126.797431가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
34광산구-4상무대로송정2동광주광역시 광산구 송정동 1415광주송정역 버스정류장35.138276126.791694가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
45광산구-5상무대로송정2동광주광역시 광산구 상무대로 214광주송정역 버스정류장35.138236126.792327가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
56광산구-6상무대로송정2동광주광역시 광산구 상무대로 190광주송정역 맞은편 택시승강장35.136662126.791327가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
67광산구-7상무대로송정2동광주광역시 광산구 송정동 949-77횡단보도 부근35.134484126.789303가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
78광산구-8상무대로도산동광주광역시 광산구 도산동 1023-3도산역 버스정류장35.131368126.787276가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
89광산구-9어등대로어룡동광주광역시 광산구 소촌동 590금호타이어 앞 버스정류장35.144416126.789972가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
910광산구-10어등대로어룡동광주광역시 광산구 소촌동 589-1금호타이어 버스정류장35.144932126.790588가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
연번관리번호도로명행정동설치주소세부위치위도경도수거쓰레기종류쓰레기통종류관리기관명관리기관전화번호데이터기준일자
8182광산구-82동곡로동곡동광주광역시 광산구 유계동 1031-14버스정류장35.091394126.773가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
8283광산구-83동곡로동곡동광주광역시 광산구 하산동 193-9버스정류장35.091449126.772521가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
8384광산구-84동곡로동곡동광주광역시 광산구 유계동 608-3버스정류장35.09782126.775684가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
8485광산구-85동곡로동곡동광주광역시 광산구 유계동 237-18버스정류장35.101654126.778095가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
8586광산구-86동곡로동곡동광주광역시 광산구 복룡동 121-1버스정류장35.10743126.779404가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
8687광산구-87동곡로동곡동광주광역시 광산구 동곡로 324버스정류장35.110937126.779955가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
8788광산구-88동곡로동곡동광주광역시 광산구 복룡동 645-9버스정류장35.11782126.7808가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
8889광산구-89동곡로동곡동광주광역시 광산구 본덕동 506-2버스정류장35.085951126.771626가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
8990광산구-90동곡로동곡동광주광역시 광산구 용봉동 330-3버스정류장35.081023126.766127가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08
9091광산구-91동곡로동곡동광주광역시 광산구 용봉동 333-24버스정류장35.080845126.766502가로 쓰레기가로변쓰레기통광주광역시 광산구청062-960-84732022-11-08