Overview

Dataset statistics

Number of variables6
Number of observations178
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory49.7 B

Variable types

Categorical3
Text2
Numeric1

Dataset

Description강원특별자치도에 설치되어 있는 제설함 정보(설치구간, 수량, 규격 등)와 관련된 데이터를 제공합니다. Provides data related to snow removal box information (installation section, quantity, standard, etc.) installed in Gangwon-do.
URLhttps://www.data.go.kr/data/15033682/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 is highly overall correlated with 제설함규격High correlation
제설함규격 is highly overall correlated with 시군구명High correlation
설치구간 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:17:22.379546
Analysis finished2023-12-12 22:17:22.877163
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
강원특별자치도
178 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 178
100.0%

Length

2023-12-13T07:17:22.951385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:17:23.064328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 178
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
인제군
68 
춘천시
40 
원주시
30 
동해시
15 
삼척시
11 
Other values (2)
14 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인제군 68
38.2%
춘천시 40
22.5%
원주시 30
16.9%
동해시 15
 
8.4%
삼척시 11
 
6.2%
양구군 9
 
5.1%
고성군 5
 
2.8%

Length

2023-12-13T07:17:23.163055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:17:23.274374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인제군 68
38.2%
춘천시 40
22.5%
원주시 30
16.9%
동해시 15
 
8.4%
삼척시 11
 
6.2%
양구군 9
 
5.1%
고성군 5
 
2.8%

설치구간
Text

UNIQUE 

Distinct178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T07:17:23.617720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length21
Mean length12.174157
Min length3

Characters and Unicode

Total characters2167
Distinct characters234
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique178 ?
Unique (%)100.0%

Sample

1st row간성읍 하리 28-2번지(간성제일장로교회 맞은편외 10개소)
2nd row거진읍 거진1리 등대공원주차장 앞외 7개소
3rd row현내면 대진4리 마을회관 앞외 9개소
4th row죽왕면 구성리 463-2번지외 6개소
5th row토성면 도원리 214 인근외 13개소
ValueCountFrequency (%)
앞 26
 
5.8%
남면 16
 
3.6%
인제읍 15
 
3.4%
상동리 12
 
2.7%
기린면 10
 
2.2%
북면 10
 
2.2%
현리 10
 
2.2%
원통리 10
 
2.2%
남북리 6
 
1.3%
남전리 5
 
1.1%
Other values (281) 325
73.0%
2023-12-13T07:17:24.126089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
 
13.2%
리 90
 
4.2%
- 54
 
2.5%
1 54
 
2.5%
면 52
 
2.4%
남 46
 
2.1%
2 45
 
2.1%
로 44
 
2.0%
3 42
 
1.9%
원 39
 
1.8%
Other values (224) 1415
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1436
66.3%
Decimal Number 314
 
14.5%
Space Separator 286
 
13.2%
Dash Punctuation 54
 
2.5%
Uppercase Letter 29
 
1.3%
Close Punctuation 17
 
0.8%
Math Symbol 17
 
0.8%
Open Punctuation 14
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 90
 
6.3%
면 52
 
3.6%
남 46
 
3.2%
로 44
 
3.1%
원 39
 
2.7%
앞 38
 
2.6%
동 34
 
2.4%
상 30
 
2.1%
아 29
 
2.0%
트 28
 
1.9%
Other values (199) 1006
70.1%
Decimal Number
ValueCountFrequency (%)
1 54
17.2%
2 45
14.3%
3 42
13.4%
6 28
8.9%
4 27
8.6%
5 25
8.0%
7 25
8.0%
9 24
7.6%
0 23
7.3%
8 21
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
A 10
34.5%
K 4
 
13.8%
C 4
 
13.8%
B 3
 
10.3%
S 2
 
6.9%
T 2
 
6.9%
M 2
 
6.9%
I 1
 
3.4%
J 1
 
3.4%
Math Symbol
ValueCountFrequency (%)
~ 16
94.1%
+ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
286
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1436
66.3%
Common 702
32.4%
Latin 29
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 90
 
6.3%
면 52
 
3.6%
남 46
 
3.2%
로 44
 
3.1%
원 39
 
2.7%
앞 38
 
2.6%
동 34
 
2.4%
상 30
 
2.1%
아 29
 
2.0%
트 28
 
1.9%
Other values (199) 1006
70.1%
Common
ValueCountFrequency (%)
286
40.7%
- 54
 
7.7%
1 54
 
7.7%
2 45
 
6.4%
3 42
 
6.0%
6 28
 
4.0%
4 27
 
3.8%
5 25
 
3.6%
7 25
 
3.6%
9 24
 
3.4%
Other values (6) 92
 
13.1%
Latin
ValueCountFrequency (%)
A 10
34.5%
K 4
 
13.8%
C 4
 
13.8%
B 3
 
10.3%
S 2
 
6.9%
T 2
 
6.9%
M 2
 
6.9%
I 1
 
3.4%
J 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1436
66.3%
ASCII 731
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
286
39.1%
- 54
 
7.4%
1 54
 
7.4%
2 45
 
6.2%
3 42
 
5.7%
6 28
 
3.8%
4 27
 
3.7%
5 25
 
3.4%
7 25
 
3.4%
9 24
 
3.3%
Other values (15) 121
16.6%
Hangul
ValueCountFrequency (%)
리 90
 
6.3%
면 52
 
3.6%
남 46
 
3.2%
로 44
 
3.1%
원 39
 
2.7%
앞 38
 
2.6%
동 34
 
2.4%
상 30
 
2.1%
아 29
 
2.0%
트 28
 
1.9%
Other values (199) 1006
70.1%

수량
Real number (ℝ)

Distinct29
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.466292
Minimum1
Maximum2000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T07:17:24.277814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q38
95-th percentile100
Maximum2000
Range1999
Interquartile range (IQR)7

Descriptive statistics

Standard deviation158.59436
Coefficient of variation (CV)5.7741453
Kurtosis137.8309
Mean27.466292
Median Absolute Deviation (MAD)1
Skewness11.287673
Sum4889
Variance25152.171
MonotonicityNot monotonic
2023-12-13T07:17:24.413949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 83
46.6%
2 13
 
7.3%
8 11
 
6.2%
4 9
 
5.1%
6 8
 
4.5%
5 7
 
3.9%
7 7
 
3.9%
3 5
 
2.8%
9 4
 
2.2%
200 3
 
1.7%
Other values (19) 28
 
15.7%
ValueCountFrequency (%)
1 83
46.6%
2 13
 
7.3%
3 5
 
2.8%
4 9
 
5.1%
5 7
 
3.9%
6 8
 
4.5%
7 7
 
3.9%
8 11
 
6.2%
9 4
 
2.2%
10 2
 
1.1%
ValueCountFrequency (%)
2000 1
 
0.6%
600 1
 
0.6%
200 3
1.7%
150 1
 
0.6%
120 1
 
0.6%
110 1
 
0.6%
100 2
1.1%
80 3
1.7%
57 1
 
0.6%
50 2
1.1%

제설함순번
Text

Distinct167
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T07:17:24.744902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.8595506
Min length1

Characters and Unicode

Total characters687
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

Unique158 ?
Unique (%)88.8%

Sample

1st row1~11
2nd row1~7
3rd row1~9
4th row1~6
5th row1~13
ValueCountFrequency (%)
1-80 3
 
1.7%
1-200 3
 
1.7%
67 2
 
1.1%
9 2
 
1.1%
6~7 2
 
1.1%
8 2
 
1.1%
11 2
 
1.1%
10 2
 
1.1%
42 2
 
1.1%
55 1
 
0.6%
Other values (157) 157
88.2%
2023-12-13T07:17:25.264491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 142
20.7%
2 81
11.8%
~ 79
11.5%
3 65
9.5%
0 60
8.7%
4 51
 
7.4%
5 48
 
7.0%
6 46
 
6.7%
8 38
 
5.5%
7 35
 
5.1%
Other values (2) 42
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 593
86.3%
Math Symbol 79
 
11.5%
Dash Punctuation 15
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 142
23.9%
2 81
13.7%
3 65
11.0%
0 60
10.1%
4 51
 
8.6%
5 48
 
8.1%
6 46
 
7.8%
8 38
 
6.4%
7 35
 
5.9%
9 27
 
4.6%
Math Symbol
ValueCountFrequency (%)
~ 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 687
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 142
20.7%
2 81
11.8%
~ 79
11.5%
3 65
9.5%
0 60
8.7%
4 51
 
7.4%
5 48
 
7.0%
6 46
 
6.7%
8 38
 
5.5%
7 35
 
5.1%
Other values (2) 42
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 687
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 142
20.7%
2 81
11.8%
~ 79
11.5%
3 65
9.5%
0 60
8.7%
4 51
 
7.4%
5 48
 
7.0%
6 46
 
6.7%
8 38
 
5.5%
7 35
 
5.1%
Other values (2) 42
 
6.1%

제설함규격
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
(가로)800mm*(세로)500mm*(높이)560mm
61 
(가로)900mm*(세로)550mm*(높이)650mm
40 
1800L
30 
적체함/비닐봉지
15 
300L
11 
Other values (3)
21 

Length

Max length32
Median length29
Mean length19.634831
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row200L
2nd row200L
3rd row200L
4th row200L
5th row200L

Common Values

ValueCountFrequency (%)
(가로)800mm*(세로)500mm*(높이)560mm 61
34.3%
(가로)900mm*(세로)550mm*(높이)650mm 40
22.5%
1800L 30
16.9%
적체함/비닐봉지 15
 
8.4%
300L 11
 
6.2%
430L 10
 
5.6%
(가로)1470mm*(세로)1050mm*(높이)1000mm 6
 
3.4%
200L 5
 
2.8%

Length

2023-12-13T07:17:25.412027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:17:25.522350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가로)800mm*(세로)500mm*(높이)560mm 61
34.3%
가로)900mm*(세로)550mm*(높이)650mm 40
22.5%
1800l 30
16.9%
적체함/비닐봉지 15
 
8.4%
300l 11
 
6.2%
430l 10
 
5.6%
가로)1470mm*(세로)1050mm*(높이)1000mm 6
 
3.4%
200l 5
 
2.8%

Interactions

2023-12-13T07:17:22.612154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:17:25.615363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명수량제설함규격
시군구명1.0000.2460.987
수량0.2461.0000.235
제설함규격0.9870.2351.000
2023-12-13T07:17:25.694020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명제설함규격
시군구명1.0000.974
제설함규격0.9741.000
2023-12-13T07:17:25.767632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수량시군구명제설함규격
수량1.0000.1680.150
시군구명0.1681.0000.974
제설함규격0.1500.9741.000

Missing values

2023-12-13T07:17:22.743552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:17:22.839510image/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

시도명시군구명설치구간수량제설함순번제설함규격
0강원특별자치도고성군간성읍 하리 28-2번지(간성제일장로교회 맞은편외 10개소)111~11200L
1강원특별자치도고성군거진읍 거진1리 등대공원주차장 앞외 7개소71~7200L
2강원특별자치도고성군현내면 대진4리 마을회관 앞외 9개소91~9200L
3강원특별자치도고성군죽왕면 구성리 463-2번지외 6개소61~6200L
4강원특별자치도고성군토성면 도원리 214 인근외 13개소131~13200L
5강원특별자치도동해시삼척시계(추암)1001-100적체함/비닐봉지
6강원특별자치도동해시단봉교 해인 앞1001-101적체함/비닐봉지
7강원특별자치도동해시양지마을 앞1201-120적체함/비닐봉지
8강원특별자치도동해시근로자복지회관801-80적체함/비닐봉지
9강원특별자치도동해시현대아파트 앞501-50적체함/비닐봉지
시도명시군구명설치구간수량제설함순번제설함규격
168강원특별자치도춘천시후평주공7단지~강원사대부고5112~116(가로)900mm*(세로)550mm*(높이)650mm
169강원특별자치도춘천시한신A~동아A 앞 후석로4117~120(가로)900mm*(세로)550mm*(높이)650mm
170강원특별자치도춘천시동아목욕탕 앞 후석로228번길3121~123(가로)900mm*(세로)550mm*(높이)650mm
171강원특별자치도춘천시봉의고 앞 후석로2505124~128(가로)900mm*(세로)550mm*(높이)650mm
172강원특별자치도춘천시후평동 청실A앞1129(가로)900mm*(세로)550mm*(높이)650mm
173강원특별자치도춘천시석사대우A 앞 우석로101번길4130~133(가로)900mm*(세로)550mm*(높이)650mm
174강원특별자치도춘천시동면 오렌지충전소 앞 후만로3134~136(가로)900mm*(세로)550mm*(높이)650mm
175강원특별자치도춘천시후평2동 성은안경앞1137(가로)900mm*(세로)550mm*(높이)650mm
176강원특별자치도춘천시삼운사1138(가로)900mm*(세로)550mm*(높이)650mm
177강원특별자치도춘천시칠전 대우2차아파트앞1139(가로)900mm*(세로)550mm*(높이)650mm