Overview

Dataset statistics

Number of variables9
Number of observations232
Missing cells0
Missing cells (%)0.0%
Duplicate rows13
Duplicate rows (%)5.6%
Total size in memory17.1 KiB
Average record size in memory75.6 B

Variable types

Categorical5
Text1
DateTime1
Numeric2

Dataset

Description부산광역시 연제구 관내 제설함 위치현황입니다. 행정동, 상세위치(주소 포함), 수량, 관리부서 및 연락처 등이 포함되어 있습니다.
URLhttps://www.data.go.kr/data/15037558/fileData.do

Alerts

개수 has constant value ""Constant
관리자 has constant value ""Constant
연락처 has constant value ""Constant
구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 13 (5.6%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 22:40:18.323896
Analysis finished2023-12-12 22:40:19.129976
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동명
Categorical

Distinct12
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
연산9동
49 
거제1동
40 
연산1동
29 
연산4동
22 
거제4동
20 
Other values (7)
72 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row거제1동
2nd row거제1동
3rd row거제1동
4th row거제1동
5th row거제1동

Common Values

ValueCountFrequency (%)
연산9동 49
21.1%
거제1동 40
17.2%
연산1동 29
12.5%
연산4동 22
9.5%
거제4동 20
8.6%
연산2동 15
 
6.5%
연산3동 15
 
6.5%
거제2동 10
 
4.3%
연산8동 10
 
4.3%
연산6동 8
 
3.4%
Other values (2) 14
 
6.0%

Length

2023-12-13T07:40:19.196198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연산9동 49
21.1%
거제1동 40
17.2%
연산1동 29
12.5%
연산4동 22
9.5%
거제4동 20
8.6%
연산2동 15
 
6.5%
연산3동 15
 
6.5%
거제2동 10
 
4.3%
연산8동 10
 
4.3%
연산6동 8
 
3.4%
Other values (2) 14
 
6.0%

설치 장소
Text

Distinct188
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T07:40:19.482820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length19.293103
Min length15

Characters and Unicode

Total characters4476
Distinct characters115
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)69.0%

Sample

1st row부산광역시 연제구 법원북로 88
2nd row부산광역시 연제구 명륜로 10
3rd row부산광역시 연제구 중앙대로 1229
4th row부산광역시 연제구 중앙대로 1223
5th row부산광역시 연제구 교대로22번길 51
ValueCountFrequency (%)
부산광역시 232
24.6%
연제구 232
24.6%
과정로 18
 
1.9%
거제천로 16
 
1.7%
월드컵대로 8
 
0.8%
화지로 8
 
0.8%
고분로 8
 
0.8%
반송로 8
 
0.8%
25 8
 
0.8%
거제천로255번가길 7
 
0.7%
Other values (232) 400
42.3%
2023-12-13T07:40:19.926111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
715
16.0%
제 280
 
6.3%
연 252
 
5.6%
산 248
 
5.5%
구 237
 
5.3%
시 236
 
5.3%
로 233
 
5.2%
부 233
 
5.2%
역 232
 
5.2%
광 232
 
5.2%
Other values (105) 1578
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2942
65.7%
Decimal Number 799
 
17.9%
Space Separator 715
 
16.0%
Dash Punctuation 15
 
0.3%
Other Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 280
9.5%
연 252
 
8.6%
산 248
 
8.4%
구 237
 
8.1%
시 236
 
8.0%
로 233
 
7.9%
부 233
 
7.9%
역 232
 
7.9%
광 232
 
7.9%
길 94
 
3.2%
Other values (88) 665
22.6%
Decimal Number
ValueCountFrequency (%)
2 165
20.7%
1 147
18.4%
5 105
13.1%
3 95
11.9%
4 63
 
7.9%
8 55
 
6.9%
7 51
 
6.4%
0 45
 
5.6%
9 37
 
4.6%
6 36
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
715
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2942
65.7%
Common 1534
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 280
9.5%
연 252
 
8.6%
산 248
 
8.4%
구 237
 
8.1%
시 236
 
8.0%
로 233
 
7.9%
부 233
 
7.9%
역 232
 
7.9%
광 232
 
7.9%
길 94
 
3.2%
Other values (88) 665
22.6%
Common
ValueCountFrequency (%)
715
46.6%
2 165
 
10.8%
1 147
 
9.6%
5 105
 
6.8%
3 95
 
6.2%
4 63
 
4.1%
8 55
 
3.6%
7 51
 
3.3%
0 45
 
2.9%
9 37
 
2.4%
Other values (7) 56
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2942
65.7%
ASCII 1534
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
715
46.6%
2 165
 
10.8%
1 147
 
9.6%
5 105
 
6.8%
3 95
 
6.2%
4 63
 
4.1%
8 55
 
3.6%
7 51
 
3.3%
0 45
 
2.9%
9 37
 
2.4%
Other values (7) 56
 
3.7%
Hangul
ValueCountFrequency (%)
제 280
9.5%
연 252
 
8.6%
산 248
 
8.4%
구 237
 
8.1%
시 236
 
8.0%
로 233
 
7.9%
부 233
 
7.9%
역 232
 
7.9%
광 232
 
7.9%
길 94
 
3.2%
Other values (88) 665
22.6%

개수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
1
232 

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 (%)
1 232
100.0%

Length

2023-12-13T07:40:20.066423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:40:20.148062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 232
100.0%

관리자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
연제구청 도시안전과
232 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연제구청 도시안전과
2nd row연제구청 도시안전과
3rd row연제구청 도시안전과
4th row연제구청 도시안전과
5th row연제구청 도시안전과

Common Values

ValueCountFrequency (%)
연제구청 도시안전과 232
100.0%

Length

2023-12-13T07:40:20.268100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:40:20.382899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연제구청 232
50.0%
도시안전과 232
50.0%

연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
051-665-4494
232 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row051-665-4494
2nd row051-665-4494
3rd row051-665-4494
4th row051-665-4494
5th row051-665-4494

Common Values

ValueCountFrequency (%)
051-665-4494 232
100.0%

Length

2023-12-13T07:40:20.509934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:40:20.632229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-665-4494 232
100.0%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
연제구
232 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
연제구 232
100.0%

Length

2023-12-13T07:40:20.744759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:40:20.842994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연제구 232
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2023-07-25 00:00:00
Maximum2023-07-25 00:00:00
2023-12-13T07:40:20.915827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:40:21.005137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

위도
Real number (ℝ)

Distinct167
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.251561
Minimum35.163827
Maximum39.191649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T07:40:21.133815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.163827
5-th percentile35.170288
Q135.182094
median35.186606
Q335.19115
95-th percentile35.196473
Maximum39.191649
Range4.0278221
Interquartile range (IQR)0.0090554875

Descriptive statistics

Standard deviation0.4062013
Coefficient of variation (CV)0.011522931
Kurtosis55.597529
Mean35.251561
Median Absolute Deviation (MAD)0.00451257
Skewness7.1490705
Sum8178.3621
Variance0.1649995
MonotonicityNot monotonic
2023-12-13T07:40:21.299613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.18408371 16
 
6.9%
35.19161023 5
 
2.2%
35.16720246 5
 
2.2%
35.19341694 5
 
2.2%
35.18209066 4
 
1.7%
35.1916367 4
 
1.7%
35.19070985 3
 
1.3%
35.18618606 3
 
1.3%
35.18998638 3
 
1.3%
35.19252746 3
 
1.3%
Other values (157) 181
78.0%
ValueCountFrequency (%)
35.16382666 2
 
0.9%
35.16597917 1
 
0.4%
35.16720246 5
2.2%
35.16773812 1
 
0.4%
35.16883275 1
 
0.4%
35.16991766 1
 
0.4%
35.17008867 1
 
0.4%
35.1704513 1
 
0.4%
35.17070845 1
 
0.4%
35.17108473 1
 
0.4%
ValueCountFrequency (%)
39.19164873 1
0.4%
38.19164873 1
0.4%
37.19164873 1
0.4%
37.1916367 2
0.9%
36.1916367 1
0.4%
35.87322361 1
0.4%
35.87172645 1
0.4%
35.19748151 2
0.9%
35.19707311 1
0.4%
35.19657516 1
0.4%

경도
Real number (ℝ)

Distinct167
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.1304
Minimum127.12897
Maximum133.087
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T07:40:21.435952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.12897
5-th percentile129.06485
Q1129.07977
median129.0874
Q3129.09924
95-th percentile129.10891
Maximum133.087
Range5.9580251
Interquartile range (IQR)0.0194689

Descriptive statistics

Standard deviation0.4427342
Coefficient of variation (CV)0.0034285822
Kurtosis43.033464
Mean129.1304
Median Absolute Deviation (MAD)0.00817065
Skewness4.7886803
Sum29958.254
Variance0.19601357
MonotonicityNot monotonic
2023-12-13T07:40:21.560220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0802187 16
 
6.9%
129.0852596 5
 
2.2%
129.0830468 5
 
2.2%
129.0878312 5
 
2.2%
129.0661062 4
 
1.7%
129.0893337 4
 
1.7%
129.0821293 3
 
1.3%
129.0565086 3
 
1.3%
129.0904206 3
 
1.3%
129.0885111 3
 
1.3%
Other values (157) 181
78.0%
ValueCountFrequency (%)
127.12897 1
 
0.4%
127.1320431 1
 
0.4%
129.055597 1
 
0.4%
129.0559793 1
 
0.4%
129.0565086 3
1.3%
129.0600491 1
 
0.4%
129.0613936 2
0.9%
129.0644051 1
 
0.4%
129.064673 1
 
0.4%
129.0650037 1
 
0.4%
ValueCountFrequency (%)
133.0869951 1
0.4%
132.0869951 1
0.4%
131.0893337 2
0.9%
131.0869951 1
0.4%
130.0893337 1
0.4%
129.1135266 1
0.4%
129.1131826 2
0.9%
129.1102404 1
0.4%
129.1100858 1
0.4%
129.1099785 1
0.4%

Interactions

2023-12-13T07:40:18.707425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:40:18.528329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:40:18.808654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:40:18.616951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:40:21.656955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동명위도경도
행정동명1.0000.0000.000
위도0.0001.0001.000
경도0.0001.0001.000
2023-12-13T07:40:21.755943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도행정동명
위도1.0000.0350.000
경도0.0351.0000.000
행정동명0.0000.0001.000

Missing values

2023-12-13T07:40:18.923127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:40:19.067461image/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

행정동명설치 장소개수관리자연락처구군명데이터기준일자위도경도
0거제1동부산광역시 연제구 법원북로 881연제구청 도시안전과051-665-4494연제구2023-07-2535.191876129.075633
1거제1동부산광역시 연제구 명륜로 101연제구청 도시안전과051-665-4494연제구2023-07-2535.191578129.07978
2거제1동부산광역시 연제구 중앙대로 12291연제구청 도시안전과051-665-4494연제구2023-07-2535.189867129.078583
3거제1동부산광역시 연제구 중앙대로 12231연제구청 도시안전과051-665-4494연제구2023-07-2535.188533129.077599
4거제1동부산광역시 연제구 교대로22번길 511연제구청 도시안전과051-665-4494연제구2023-07-2535.188796129.076449
5거제1동부산광역시 연제구 교대로24번길 361연제구청 도시안전과051-665-4494연제구2023-07-2535.188796129.076449
6거제1동부산광역시 연제구 교대로 481연제구청 도시안전과051-665-4494연제구2023-07-2535.184084129.080219
7거제1동부산광역시 연제구 중앙대로 1171-41연제구청 도시안전과051-665-4494연제구2023-07-2535.194109129.085095
8거제1동부산광역시 연제구 거제천로 2091연제구청 도시안전과051-665-4494연제구2023-07-2535.184084129.080219
9거제1동부산광역시 연제구 거제천로 2091연제구청 도시안전과051-665-4494연제구2023-07-2535.184084129.080219
행정동명설치 장소개수관리자연락처구군명데이터기준일자위도경도
222연산9동부산광역시 연제구 토곡로 541연제구청 도시안전과051-665-4494연제구2023-07-2535.188356129.110086
223연산9동부산광역시 연제구 토곡로 661연제구청 도시안전과051-665-4494연제구2023-07-2535.187616129.11024
224연산9동부산광역시 연제구 토곡로 741연제구청 도시안전과051-665-4494연제구2023-07-2535.184084129.080219
225연산9동부산광역시 연제구 토곡로 741연제구청 도시안전과051-665-4494연제구2023-07-2535.186122129.109979
226연산9동부산광역시 연제구 톳고개로 601연제구청 도시안전과051-665-4494연제구2023-07-2535.180963129.080057
227연산9동부산광역시 연제구 토곡남로 301연제구청 도시안전과051-665-4494연제구2023-07-2535.18934129.078976
228연산9동부산광역시 연제구 과정로 1031연제구청 도시안전과051-665-4494연제구2023-07-2535.190812129.099557
229연산9동부산광역시 연제구 고분로236번길 131연제구청 도시안전과051-665-4494연제구2023-07-2535.194135129.086008
230연산9동부산광역시 연제구 고분로259번길 221연제구청 도시안전과051-665-4494연제구2023-07-2535.873224127.12897
231연산9동부산광역시 연제구 과정로2231연제구청 도시안전과051-665-4494연제구2023-07-2535.871726127.132043

Duplicate rows

Most frequently occurring

행정동명설치 장소개수관리자연락처구군명데이터기준일자위도경도# duplicates
2거제1동부산광역시 연제구 거제천로255번가길 511연제구청 도시안전과051-665-4494연제구2023-07-2535.192527129.0885113
3거제1동부산광역시 연제구 거제천로255번길 361연제구청 도시안전과051-665-4494연제구2023-07-2535.193417129.0878313
0거제1동부산광역시 연제구 거제대로252번길 201연제구청 도시안전과051-665-4494연제구2023-07-2535.184084129.0802192
1거제1동부산광역시 연제구 거제천로 2091연제구청 도시안전과051-665-4494연제구2023-07-2535.184084129.0802192
4거제1동부산광역시 연제구 거제천로287번길 141연제구청 도시안전과051-665-4494연제구2023-07-2535.192339129.08742
5거제1동부산광역시 연제구 교대로 241연제구청 도시안전과051-665-4494연제구2023-07-2535.197482129.0768272
6거제2동부산광역시 연제구 월드컵대로 3911연제구청 도시안전과051-665-4494연제구2023-07-2535.186186129.0565092
7연산1동부산광역시 연제구 과정로 3591연제구청 도시안전과051-665-4494연제구2023-07-2535.19161129.085262
8연산1동부산광역시 연제구 과정로344번길 531연제구청 도시안전과051-665-4494연제구2023-07-2535.189986129.0904212
9연산1동부산광역시 연제구 반송로 891연제구청 도시안전과051-665-4494연제구2023-07-2537.191637131.0893342