Overview

Dataset statistics

Number of variables7
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory62.9 B

Variable types

Numeric3
Categorical3
Text1

Dataset

Description인천광역시 남동구 등산로에 대한 데이터로 산이름, 위치(대표지번), 등산로노선, 거리(km), 높이(m) 등을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15113181&srcSe=7661IVAWM27C61E190

Alerts

비고 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
산이름 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
위치(대표지번) is highly overall correlated with 연번 and 3 other fieldsHigh correlation
연번 is highly overall correlated with 높이(미터) and 3 other fieldsHigh correlation
거리(킬로미터) is highly overall correlated with 높이(미터) and 1 other fieldsHigh correlation
높이(미터) is highly overall correlated with 연번 and 4 other fieldsHigh correlation
연번 has unique valuesUnique
등산로노선 has unique valuesUnique

Reproduction

Analysis started2024-04-14 03:10:28.428163
Analysis finished2024-04-14 03:10:30.634209
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-14T12:10:30.685263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2024-04-14T12:10:30.796010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

산이름
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
관모산
5 
중경산
5 
만수산
4 
소래산
4 
오봉산
4 
Other values (5)
12 

Length

Max length4
Median length3
Mean length3.0588235
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row만월산
2nd row만월산
3rd row만수산
4th row만수산
5th row만수산

Common Values

ValueCountFrequency (%)
관모산 5
14.7%
중경산 5
14.7%
만수산 4
11.8%
소래산 4
11.8%
오봉산 4
11.8%
거마산 3
8.8%
듬배산 3
8.8%
만월산 2
 
5.9%
거머리산 2
 
5.9%
경신산 2
 
5.9%

Length

2024-04-14T12:10:30.919353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T12:10:31.009185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관모산 5
14.7%
중경산 5
14.7%
만수산 4
11.8%
소래산 4
11.8%
오봉산 4
11.8%
거마산 3
8.8%
듬배산 3
8.8%
만월산 2
 
5.9%
거머리산 2
 
5.9%
경신산 2
 
5.9%

위치(대표지번)
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
장수동(장수동 산82-3)
5 
도림동, 수산동(도림동 산18)
5 
간석동, 만수동(만수동 산2-2)
4 
장수동(장수동 산65-1)
4 
논현동, 도림동(도림동 산56-2)
4 
Other values (5)
12 

Length

Max length20
Median length19
Mean length15
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row간석동, 만수동(간석동 산 20-1)
2nd row간석동, 만수동(간석동 산 20-1)
3rd row간석동, 만수동(만수동 산2-2)
4th row간석동, 만수동(만수동 산2-2)
5th row간석동, 만수동(만수동 산2-2)

Common Values

ValueCountFrequency (%)
장수동(장수동 산82-3) 5
14.7%
도림동, 수산동(도림동 산18) 5
14.7%
간석동, 만수동(만수동 산2-2) 4
11.8%
장수동(장수동 산65-1) 4
11.8%
논현동, 도림동(도림동 산56-2) 4
11.8%
장수동(장수동 산27-1) 3
8.8%
논현동 3
8.8%
간석동, 만수동(간석동 산 20-1) 2
 
5.9%
만수동(만수동 산68) 2
 
5.9%
구월동, 만수동(수산동 산5-1) 2
 
5.9%

Length

2024-04-14T12:10:31.119141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T12:10:31.214956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장수동(장수동 12
14.3%
논현동 7
 
8.3%
간석동 6
 
7.1%
만수동(만수동 6
 
7.1%
도림동 5
 
6.0%
수산동(도림동 5
 
6.0%
산18 5
 
6.0%
산82-3 5
 
6.0%
산56-2 4
 
4.8%
도림동(도림동 4
 
4.8%
Other values (10) 25
29.8%

등산로노선
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-04-14T12:10:31.402659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length12.647059
Min length9

Characters and Unicode

Total characters430
Distinct characters115
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

Unique34 ?
Unique (%)100.0%

Sample

1st row약사사입구~만월산정상
2nd row이삭아파트~만월산정상
3rd row벽산아파트~만수산정상
4th row신동아아파트~만수산정상
5th row도롱뇽마을~만수산정상
ValueCountFrequency (%)
약사사입구~만월산정상 1
 
2.9%
이삭아파트~만월산정상 1
 
2.9%
논현주공1단지~오봉산에코브릿지 1
 
2.9%
시골마당~오봉산4봉 1
 
2.9%
논현주공12단지 1
 
2.9%
맞은편~오봉산3봉 1
 
2.9%
오봉산약수터~오봉산2봉 1
 
2.9%
도림초등학교~논현2호근린공원 1
 
2.9%
수산동입구~중경산정상 1
 
2.9%
연세농장~소래산정상 1
 
2.9%
Other values (25) 25
71.4%
2024-04-14T12:10:31.666345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 36
 
8.4%
~ 34
 
7.9%
정 30
 
7.0%
상 29
 
6.7%
수 13
 
3.0%
공 12
 
2.8%
만 9
 
2.1%
원 9
 
2.1%
경 8
 
1.9%
대 8
 
1.9%
Other values (105) 242
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
88.8%
Math Symbol 34
 
7.9%
Decimal Number 13
 
3.0%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 36
 
9.4%
정 30
 
7.9%
상 29
 
7.6%
수 13
 
3.4%
공 12
 
3.1%
만 9
 
2.4%
원 9
 
2.4%
경 8
 
2.1%
대 8
 
2.1%
봉 8
 
2.1%
Other values (98) 220
57.6%
Decimal Number
ValueCountFrequency (%)
1 3
23.1%
2 3
23.1%
9 3
23.1%
4 2
15.4%
3 2
15.4%
Math Symbol
ValueCountFrequency (%)
~ 34
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 382
88.8%
Common 48
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 36
 
9.4%
정 30
 
7.9%
상 29
 
7.6%
수 13
 
3.4%
공 12
 
3.1%
만 9
 
2.4%
원 9
 
2.4%
경 8
 
2.1%
대 8
 
2.1%
봉 8
 
2.1%
Other values (98) 220
57.6%
Common
ValueCountFrequency (%)
~ 34
70.8%
1 3
 
6.2%
2 3
 
6.2%
9 3
 
6.2%
4 2
 
4.2%
3 2
 
4.2%
1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 382
88.8%
ASCII 48
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 36
 
9.4%
정 30
 
7.9%
상 29
 
7.6%
수 13
 
3.4%
공 12
 
3.1%
만 9
 
2.4%
원 9
 
2.4%
경 8
 
2.1%
대 8
 
2.1%
봉 8
 
2.1%
Other values (98) 220
57.6%
ASCII
ValueCountFrequency (%)
~ 34
70.8%
1 3
 
6.2%
2 3
 
6.2%
9 3
 
6.2%
4 2
 
4.2%
3 2
 
4.2%
1
 
2.1%

거리(킬로미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0264706
Minimum0.3
Maximum2.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-14T12:10:31.761325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.3
Q10.625
median0.95
Q31.275
95-th percentile1.94
Maximum2.5
Range2.2
Interquartile range (IQR)0.65

Descriptive statistics

Standard deviation0.55721647
Coefficient of variation (CV)0.54284699
Kurtosis0.20391433
Mean1.0264706
Median Absolute Deviation (MAD)0.35
Skewness0.77132342
Sum34.9
Variance0.3104902
MonotonicityNot monotonic
2024-04-14T12:10:31.841282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.8 5
14.7%
1.2 4
11.8%
0.4 3
8.8%
1.7 3
8.8%
1.0 3
8.8%
0.3 3
8.8%
0.7 2
 
5.9%
0.5 2
 
5.9%
1.3 1
 
2.9%
1.5 1
 
2.9%
Other values (7) 7
20.6%
ValueCountFrequency (%)
0.3 3
8.8%
0.4 3
8.8%
0.5 2
 
5.9%
0.6 1
 
2.9%
0.7 2
 
5.9%
0.8 5
14.7%
0.9 1
 
2.9%
1.0 3
8.8%
1.1 1
 
2.9%
1.2 4
11.8%
ValueCountFrequency (%)
2.5 1
 
2.9%
2.2 1
 
2.9%
1.8 1
 
2.9%
1.7 3
8.8%
1.6 1
 
2.9%
1.5 1
 
2.9%
1.3 1
 
2.9%
1.2 4
11.8%
1.1 1
 
2.9%
1.0 3
8.8%

높이(미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.06471
Minimum62
Maximum299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-14T12:10:31.917866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62
5-th percentile70.45
Q186
median160
Q3180
95-th percentile299
Maximum299
Range237
Interquartile range (IQR)94

Descriptive statistics

Standard deviation71.10509
Coefficient of variation (CV)0.47700822
Kurtosis0.091434044
Mean149.06471
Median Absolute Deviation (MAD)54.2
Skewness0.86454464
Sum5068.2
Variance5055.9339
MonotonicityNot monotonic
2024-04-14T12:10:31.991569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
160.0 8
23.5%
75.0 5
14.7%
201.0 4
11.8%
299.0 4
11.8%
105.8 4
11.8%
86.0 3
 
8.8%
180.0 2
 
5.9%
124.0 2
 
5.9%
62.0 2
 
5.9%
ValueCountFrequency (%)
62.0 2
 
5.9%
75.0 5
14.7%
86.0 3
 
8.8%
105.8 4
11.8%
124.0 2
 
5.9%
160.0 8
23.5%
180.0 2
 
5.9%
201.0 4
11.8%
299.0 4
11.8%
ValueCountFrequency (%)
299.0 4
11.8%
201.0 4
11.8%
180.0 2
 
5.9%
160.0 8
23.5%
124.0 2
 
5.9%
105.8 4
11.8%
86.0 3
 
8.8%
75.0 5
14.7%
62.0 2
 
5.9%

비고
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
27 
인천대공원사업소관리
7 

Length

Max length10
Median length4
Mean length5.2352941
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 27
79.4%
인천대공원사업소관리 7
 
20.6%

Length

2024-04-14T12:10:32.077565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T12:10:32.149366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
79.4%
인천대공원사업소관리 7
 
20.6%

Interactions

2024-04-14T12:10:30.315296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:10:29.885406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:10:30.130827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:10:30.378844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:10:29.993123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:10:30.204638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:10:30.432853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:10:30.055837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:10:30.260111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T12:10:32.198790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번산이름위치(대표지번)등산로노선거리(킬로미터)높이(미터)
연번1.0000.9630.9631.0000.5470.907
산이름0.9631.0001.0001.0000.4151.000
위치(대표지번)0.9631.0001.0001.0000.4151.000
등산로노선1.0001.0001.0001.0001.0001.000
거리(킬로미터)0.5470.4150.4151.0001.0000.669
높이(미터)0.9071.0001.0001.0000.6691.000
2024-04-14T12:10:32.276189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고산이름위치(대표지번)
비고1.0001.0001.000
산이름1.0001.0001.000
위치(대표지번)1.0001.0001.000
2024-04-14T12:10:32.344008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번거리(킬로미터)높이(미터)산이름위치(대표지번)비고
연번1.000-0.405-0.6430.6660.6661.000
거리(킬로미터)-0.4051.0000.5800.1710.1711.000
높이(미터)-0.6430.5801.0000.9260.9261.000
산이름0.6660.1710.9261.0001.0001.000
위치(대표지번)0.6660.1710.9261.0001.0001.000
비고1.0001.0001.0001.0001.0001.000

Missing values

2024-04-14T12:10:30.511013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T12:10:30.595231image/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

연번산이름위치(대표지번)등산로노선거리(킬로미터)높이(미터)비고
01만월산간석동, 만수동(간석동 산 20-1)약사사입구~만월산정상1.3180.0<NA>
12만월산간석동, 만수동(간석동 산 20-1)이삭아파트~만월산정상0.9180.0<NA>
23만수산간석동, 만수동(만수동 산2-2)벽산아파트~만수산정상1.8201.0<NA>
34만수산간석동, 만수동(만수동 산2-2)신동아아파트~만수산정상1.2201.0<NA>
45만수산간석동, 만수동(만수동 산2-2)도롱뇽마을~만수산정상1.7201.0<NA>
56만수산간석동, 만수동(만수동 산2-2)만월쉼터~만수산정상1.2201.0<NA>
67거머리산만수동(만수동 산68)만수주공419동~거머리산정상1.6124.0<NA>
78거머리산만수동(만수동 산68)남동정수사업소~거머리산정상1.0124.0<NA>
89관모산장수동(장수동 산82-3)인천대공원백범광장~관모산정상0.8160.0인천대공원사업소관리
910관모산장수동(장수동 산82-3)인천대공원메타세콰이어길~관모산정상0.8160.0인천대공원사업소관리
연번산이름위치(대표지번)등산로노선거리(킬로미터)높이(미터)비고
2425중경산도림동, 수산동(도림동 산18)덕골마을입구~중경산정상0.675.0<NA>
2526중경산도림동, 수산동(도림동 산18)도림방중삼거리~중경산정상0.875.0<NA>
2627중경산도림동, 수산동(도림동 산18)수산동입구~중경산정상0.775.0<NA>
2728오봉산논현동, 도림동(도림동 산56-2)도림초등학교~논현2호근린공원2.5105.8<NA>
2829오봉산논현동, 도림동(도림동 산56-2)오봉산약수터~오봉산2봉0.3105.8<NA>
2930오봉산논현동, 도림동(도림동 산56-2)논현주공12단지 맞은편~오봉산3봉0.4105.8<NA>
3031오봉산논현동, 도림동(도림동 산56-2)시골마당~오봉산4봉0.7105.8<NA>
3132듬배산논현동논현주공1단지~오봉산에코브릿지1.586.0<NA>
3233듬배산논현동남동고등학교~듬배산정상0.586.0<NA>
3334듬배산논현동호암공원~듬배산정상0.486.0<NA>