Overview

Dataset statistics

Number of variables4
Number of observations167
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory33.8 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description밀양시 관내 산악 위치표지목 현황입니다.밀양시 관내 산악 위치 표지목의 설치장소 명칭, 구조목 번호, 위경도 좌표 데이터 정보를 제공합니다.
Author경상남도
URLhttps://www.data.go.kr/data/15065499/fileData.do

Alerts

연번 is highly overall correlated with 설치장소 명칭High correlation
설치장소 명칭 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
구조목 번호 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:22:58.958714
Analysis finished2024-03-15 01:22:59.913841
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84
Minimum1
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-15T10:23:00.139282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.3
Q142.5
median84
Q3125.5
95-th percentile158.7
Maximum167
Range166
Interquartile range (IQR)83

Descriptive statistics

Standard deviation48.35287
Coefficient of variation (CV)0.5756294
Kurtosis-1.2
Mean84
Median Absolute Deviation (MAD)42
Skewness0
Sum14028
Variance2338
MonotonicityStrictly increasing
2024-03-15T10:23:00.595594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
116 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
Other values (157) 157
94.0%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%

설치장소 명칭
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
재약산
23 
천황산
22 
정각산
14 
향로산
14 
운문산
12 
Other values (11)
82 

Length

Max length3
Median length3
Mean length2.9700599
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재약산 23
13.8%
천황산 22
13.2%
정각산 14
8.4%
향로산 14
8.4%
운문산 12
 
7.2%
북암산 10
 
6.0%
보두산 10
 
6.0%
종남산 10
 
6.0%
만어산 10
 
6.0%
화악산 10
 
6.0%
Other values (6) 32
19.2%

Length

2024-03-15T10:23:01.038666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재약산 23
13.8%
천황산 22
13.2%
정각산 14
8.4%
향로산 14
8.4%
운문산 12
 
7.2%
북암산 10
 
6.0%
보두산 10
 
6.0%
종남산 10
 
6.0%
만어산 10
 
6.0%
화악산 10
 
6.0%
Other values (6) 32
19.2%

구조목 번호
Text

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-15T10:23:03.163538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.6646707
Min length3

Characters and Unicode

Total characters612
Distinct characters43
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

Unique167 ?
Unique (%)100.0%

Sample

1st row북암-1
2nd row북암-2
3rd row북암-3
4th row북암-4
5th row북암-5
ValueCountFrequency (%)
억산 3
 
1.8%
북암-1 1
 
0.6%
보두-5 1
 
0.6%
하-5 1
 
0.6%
하-6 1
 
0.6%
하-7 1
 
0.6%
보두-1 1
 
0.6%
보두-2 1
 
0.6%
보두-3 1
 
0.6%
보두-4 1
 
0.6%
Other values (158) 158
92.9%
2024-03-15T10:23:05.007134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 167
27.3%
1 43
 
7.0%
2 24
 
3.9%
3 23
 
3.8%
4 21
 
3.4%
5 16
 
2.6%
6 15
 
2.5%
각 14
 
2.3%
정 14
 
2.3%
향 14
 
2.3%
Other values (33) 261
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
41.8%
Decimal Number 186
30.4%
Dash Punctuation 167
27.3%
Space Separator 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
각 14
 
5.5%
정 14
 
5.5%
향 14
 
5.5%
로 14
 
5.5%
만 10
 
3.9%
남 10
 
3.9%
종 10
 
3.9%
두 10
 
3.9%
보 10
 
3.9%
어 10
 
3.9%
Other values (21) 140
54.7%
Decimal Number
ValueCountFrequency (%)
1 43
23.1%
2 24
12.9%
3 23
12.4%
4 21
11.3%
5 16
 
8.6%
6 15
 
8.1%
7 13
 
7.0%
8 11
 
5.9%
9 10
 
5.4%
0 10
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 167
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 356
58.2%
Hangul 256
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
각 14
 
5.5%
정 14
 
5.5%
향 14
 
5.5%
로 14
 
5.5%
만 10
 
3.9%
남 10
 
3.9%
종 10
 
3.9%
두 10
 
3.9%
보 10
 
3.9%
어 10
 
3.9%
Other values (21) 140
54.7%
Common
ValueCountFrequency (%)
- 167
46.9%
1 43
 
12.1%
2 24
 
6.7%
3 23
 
6.5%
4 21
 
5.9%
5 16
 
4.5%
6 15
 
4.2%
7 13
 
3.7%
8 11
 
3.1%
9 10
 
2.8%
Other values (2) 13
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 356
58.2%
Hangul 256
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 167
46.9%
1 43
 
12.1%
2 24
 
6.7%
3 23
 
6.5%
4 21
 
5.9%
5 16
 
4.5%
6 15
 
4.2%
7 13
 
3.7%
8 11
 
3.1%
9 10
 
2.8%
Other values (2) 13
 
3.7%
Hangul
ValueCountFrequency (%)
각 14
 
5.5%
정 14
 
5.5%
향 14
 
5.5%
로 14
 
5.5%
만 10
 
3.9%
남 10
 
3.9%
종 10
 
3.9%
두 10
 
3.9%
보 10
 
3.9%
어 10
 
3.9%
Other values (21) 140
54.7%

위경도 좌표
Text

Distinct166
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-15T10:23:06.055903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length32.125749
Min length25

Characters and Unicode

Total characters5365
Distinct characters21
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)98.8%

Sample

1st row 위도 35° 36′ 24″ 경도 128° 53′ 40″
2nd row 위도 35° 36′ 35″ 경도 128° 53′ 51″
3rd row 위도 35° 36′ 52″ 경도 128° 54′ 00″
4th row 위도 35° 37′ 02″ 경도 128° 54′ 01″
5th row 위도 35° 37′ 09″ 경도 128° 54′ 11″
ValueCountFrequency (%)
위도 167
 
12.3%
35° 157
 
11.5%
128° 151
 
11.1%
경도 139
 
10.2%
e 37
 
2.7%
n 37
 
2.7%
32′ 35
 
2.6%
58′ 34
 
2.5%
37′ 32
 
2.3%
34′ 26
 
1.9%
Other values (171) 547
40.2%
2024-03-15T10:23:07.596538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1346
25.1%
5 416
 
7.8%
3 410
 
7.6%
2 339
 
6.3%
도 334
 
6.2%
° 314
 
5.9%
′ 314
 
5.9%
″ 314
 
5.9%
1 284
 
5.3%
8 270
 
5.0%
Other values (11) 1024
19.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2259
42.1%
Space Separator 1346
25.1%
Other Punctuation 704
 
13.1%
Other Letter 668
 
12.5%
Other Symbol 314
 
5.9%
Uppercase Letter 74
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 416
18.4%
3 410
18.1%
2 339
15.0%
1 284
12.6%
8 270
12.0%
4 161
 
7.1%
7 112
 
5.0%
0 107
 
4.7%
9 84
 
3.7%
6 76
 
3.4%
Other Punctuation
ValueCountFrequency (%)
′ 314
44.6%
″ 314
44.6%
. 56
 
8.0%
" 20
 
2.8%
Other Letter
ValueCountFrequency (%)
도 334
50.0%
경 167
25.0%
위 167
25.0%
Uppercase Letter
ValueCountFrequency (%)
N 37
50.0%
E 37
50.0%
Space Separator
ValueCountFrequency (%)
1346
100.0%
Other Symbol
ValueCountFrequency (%)
° 314
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4623
86.2%
Hangul 668
 
12.5%
Latin 74
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1346
29.1%
5 416
 
9.0%
3 410
 
8.9%
2 339
 
7.3%
° 314
 
6.8%
′ 314
 
6.8%
″ 314
 
6.8%
1 284
 
6.1%
8 270
 
5.8%
4 161
 
3.5%
Other values (6) 455
 
9.8%
Hangul
ValueCountFrequency (%)
도 334
50.0%
경 167
25.0%
위 167
25.0%
Latin
ValueCountFrequency (%)
N 37
50.0%
E 37
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3755
70.0%
Hangul 668
 
12.5%
Punctuation 628
 
11.7%
None 314
 
5.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1346
35.8%
5 416
 
11.1%
3 410
 
10.9%
2 339
 
9.0%
1 284
 
7.6%
8 270
 
7.2%
4 161
 
4.3%
7 112
 
3.0%
0 107
 
2.8%
9 84
 
2.2%
Other values (5) 226
 
6.0%
Hangul
ValueCountFrequency (%)
도 334
50.0%
경 167
25.0%
위 167
25.0%
None
ValueCountFrequency (%)
° 314
100.0%
Punctuation
ValueCountFrequency (%)
′ 314
50.0%
″ 314
50.0%

Interactions

2024-03-15T10:22:59.155734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:23:07.924430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치장소 명칭
연번1.0000.954
설치장소 명칭0.9541.000
2024-03-15T10:23:08.160669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치장소 명칭
연번1.0000.783
설치장소 명칭0.7831.000

Missing values

2024-03-15T10:22:59.507671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:22:59.797257image/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

연번설치장소 명칭구조목 번호위경도 좌표
01북암산북암-1위도 35° 36′ 24″ 경도 128° 53′ 40″
12북암산북암-2위도 35° 36′ 35″ 경도 128° 53′ 51″
23북암산북암-3위도 35° 36′ 52″ 경도 128° 54′ 00″
34북암산북암-4위도 35° 37′ 02″ 경도 128° 54′ 01″
45북암산북암-5위도 35° 37′ 09″ 경도 128° 54′ 11″
56북암산북암-6위도 35° 37′ 13″ 경도 128° 54′ 19″
67북암산북암-7위도 35° 37′ 18″ 경도 128° 54′ 24″
78북암산북암-8위도 35° 37′ 24″ 경도 128° 54′ 35″
89북암산북암-9위도 35° 37′ 28″ 경도 128° 54′ 47″
910북암산북암-10위도 35° 37′ 44″ 경도 128° 55′ 09″
연번설치장소 명칭구조목 번호위경도 좌표
157158화악산화악-1위도 N 35° 34′ 13″ 경도 E 128° 42′ 79″
158159화악산화악-2위도 N 35° 34′ 51″ 경도 E 128° 42′ 95″
159160화악산화악-3위도 N 35° 34′ 73″ 경도 E 128° 42′ 86″
160161화악산화악-4위도 N 35° 34′ 74″ 경도 E 128° 42′ 54″
161162화악산화악-5위도 N 35° 34′ 70″ 경도 E 128° 42′ 20″
162163화악산화악-6위도 N 35° 34′ 86″ 경도 E 128° 41′ 96″
163164화악산화악-7위도 N 35° 35′ 01″ 경도 E 128° 41′ 73″
164165화악산화악-8위도 N 35° 35′ 25″″ 경도 E 128° 41′ 65″
165166화악산화악-9위도 N 35° 35′ 48″ 경도 E 128° 41′ 56″
166167화악산화악-10위도 N 35° 35′ 64″ 경도 E 128° 41′ 18″