Overview

Dataset statistics

Number of variables6
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory52.6 B

Variable types

Categorical4
Text1
Numeric1

Dataset

Description인천광역시 미추홀구 등산로 세부현황에 대한 데이터로 산명, 시군구, 읍면동, 등산로명 또는 노선명, 연장거리(km)를 제공하고 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086809&srcSe=7661IVAWM27C61E190

Alerts

시군구 has constant value ""Constant
산명(권역명) is highly overall correlated with 읍면동 and 1 other fieldsHigh correlation
읍면동 is highly overall correlated with 산명(권역명) and 1 other fieldsHigh correlation
등산로명또는노선명 is highly overall correlated with 산명(권역명) and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-01-28 17:47:30.789627
Analysis finished2024-01-28 17:47:31.255742
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

산명(권역명)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
문학산
26 
승학산
11 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문학산 26
70.3%
승학산 11
29.7%

Length

2024-01-29T02:47:31.316684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T02:47:31.398151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문학산 26
70.3%
승학산 11
29.7%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
미추홀구
37 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미추홀구 37
100.0%

Length

2024-01-29T02:47:31.481890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T02:47:31.571726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구 37
100.0%

읍면동
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
학익동
19 
문학+주안+관교동
11 
문학동
7 

Length

Max length9
Median length3
Mean length4.7837838
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학익동 19
51.4%
문학+주안+관교동 11
29.7%
문학동 7
 
18.9%

Length

2024-01-29T02:47:31.661320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T02:47:31.754356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학익동 19
51.4%
문학+주안+관교동 11
29.7%
문학동 7
 
18.9%

등산로명또는노선명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
문학산등산로
22 
승학산등산로
11 
노적봉등산로
4 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노적봉등산로
2nd row노적봉등산로
3rd row노적봉등산로
4th row노적봉등산로
5th row문학산등산로

Common Values

ValueCountFrequency (%)
문학산등산로 22
59.5%
승학산등산로 11
29.7%
노적봉등산로 4
 
10.8%

Length

2024-01-29T02:47:31.845165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T02:47:31.933318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문학산등산로 22
59.5%
승학산등산로 11
29.7%
노적봉등산로 4
 
10.8%

노선
Text

Distinct30
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-01-29T02:47:32.122198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length14.72973
Min length9

Characters and Unicode

Total characters545
Distinct characters94
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

Unique25 ?
Unique (%)67.6%

Sample

1st row정광아파트뒤편~노적봉입구사거리
2nd row제2경인학익분기점~양토마을입구
3rd row정광아파트뒤편~노적봉
4th row정광아파트뒤편~노적봉
5th row문학산 능선~연경정아래
ValueCountFrequency (%)
인천성서신학원 4
 
7.5%
능선 4
 
7.5%
수미정사입구~도화부청사뒤 3
 
5.7%
뒤편~문학산 3
 
5.7%
등산로 3
 
5.7%
레포츠공원내등산로~연경정아래 2
 
3.8%
도호부청사 2
 
3.8%
문학산 2
 
3.8%
학익배수지~레포츠공원내등산로 2
 
3.8%
정광아파트뒤편~노적봉 2
 
3.8%
Other values (26) 26
49.1%
2024-01-29T02:47:32.423838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
~ 37
 
6.8%
학 20
 
3.7%
산 20
 
3.7%
사 17
 
3.1%
원 16
 
2.9%
16
 
2.9%
뒤 14
 
2.6%
정 14
 
2.6%
아 13
 
2.4%
로 12
 
2.2%
Other values (84) 366
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 471
86.4%
Math Symbol 37
 
6.8%
Space Separator 16
 
2.9%
Decimal Number 11
 
2.0%
Uppercase Letter 4
 
0.7%
Close Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 20
 
4.2%
산 20
 
4.2%
사 17
 
3.6%
원 16
 
3.4%
뒤 14
 
3.0%
정 14
 
3.0%
아 13
 
2.8%
로 12
 
2.5%
등 12
 
2.5%
문 11
 
2.3%
Other values (76) 322
68.4%
Decimal Number
ValueCountFrequency (%)
1 6
54.5%
2 5
45.5%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
C 2
50.0%
Math Symbol
ValueCountFrequency (%)
~ 37
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 471
86.4%
Common 70
 
12.8%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 20
 
4.2%
산 20
 
4.2%
사 17
 
3.6%
원 16
 
3.4%
뒤 14
 
3.0%
정 14
 
3.0%
아 13
 
2.8%
로 12
 
2.5%
등 12
 
2.5%
문 11
 
2.3%
Other values (76) 322
68.4%
Common
ValueCountFrequency (%)
~ 37
52.9%
16
22.9%
1 6
 
8.6%
2 5
 
7.1%
) 3
 
4.3%
( 3
 
4.3%
Latin
ValueCountFrequency (%)
I 2
50.0%
C 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 471
86.4%
ASCII 74
 
13.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
~ 37
50.0%
16
21.6%
1 6
 
8.1%
2 5
 
6.8%
) 3
 
4.1%
( 3
 
4.1%
I 2
 
2.7%
C 2
 
2.7%
Hangul
ValueCountFrequency (%)
학 20
 
4.2%
산 20
 
4.2%
사 17
 
3.6%
원 16
 
3.4%
뒤 14
 
3.0%
정 14
 
3.0%
아 13
 
2.8%
로 12
 
2.5%
등 12
 
2.5%
문 11
 
2.3%
Other values (76) 322
68.4%

연장거리(킬로미터)
Real number (ℝ)

Distinct28
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58297297
Minimum0.14
Maximum2.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-01-29T02:47:32.541247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.14
5-th percentile0.19
Q10.3
median0.39
Q30.73
95-th percentile1.508
Maximum2.65
Range2.51
Interquartile range (IQR)0.43

Descriptive statistics

Standard deviation0.49182125
Coefficient of variation (CV)0.84364331
Kurtosis8.0933626
Mean0.58297297
Median Absolute Deviation (MAD)0.13
Skewness2.5609975
Sum21.57
Variance0.24188814
MonotonicityNot monotonic
2024-01-29T02:47:32.648613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.73 3
 
8.1%
0.35 2
 
5.4%
0.19 2
 
5.4%
0.36 2
 
5.4%
0.4 2
 
5.4%
0.28 2
 
5.4%
0.39 2
 
5.4%
0.33 2
 
5.4%
2.65 1
 
2.7%
0.46 1
 
2.7%
Other values (18) 18
48.6%
ValueCountFrequency (%)
0.14 1
2.7%
0.19 2
5.4%
0.23 1
2.7%
0.25 1
2.7%
0.26 1
2.7%
0.28 2
5.4%
0.29 1
2.7%
0.3 1
2.7%
0.33 2
5.4%
0.34 1
2.7%
ValueCountFrequency (%)
2.65 1
 
2.7%
1.54 1
 
2.7%
1.5 1
 
2.7%
1.27 1
 
2.7%
1.02 1
 
2.7%
0.82 1
 
2.7%
0.8 1
 
2.7%
0.78 1
 
2.7%
0.73 3
8.1%
0.72 1
 
2.7%

Interactions

2024-01-29T02:47:31.037822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T02:47:32.732664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
산명(권역명)읍면동등산로명또는노선명노선연장거리(킬로미터)
산명(권역명)1.0001.0001.0001.0000.274
읍면동1.0001.0000.9451.0000.224
등산로명또는노선명1.0000.9451.0001.0000.202
노선1.0001.0001.0001.0000.971
연장거리(킬로미터)0.2740.2240.2020.9711.000
2024-01-29T02:47:32.822585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
산명(권역명)읍면동등산로명또는노선명
산명(권역명)1.0000.9860.986
읍면동0.9861.0000.711
등산로명또는노선명0.9860.7111.000
2024-01-29T02:47:32.900978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연장거리(킬로미터)산명(권역명)읍면동등산로명또는노선명
연장거리(킬로미터)1.0000.2630.1270.110
산명(권역명)0.2631.0000.9860.986
읍면동0.1270.9861.0000.711
등산로명또는노선명0.1100.9860.7111.000

Missing values

2024-01-29T02:47:31.131759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T02:47:31.219699image/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

산명(권역명)시군구읍면동등산로명또는노선명노선연장거리(킬로미터)
0문학산미추홀구학익동노적봉등산로정광아파트뒤편~노적봉입구사거리0.35
1문학산미추홀구학익동노적봉등산로제2경인학익분기점~양토마을입구1.5
2문학산미추홀구학익동노적봉등산로정광아파트뒤편~노적봉0.34
3문학산미추홀구학익동노적봉등산로정광아파트뒤편~노적봉0.19
4문학산미추홀구학익동문학산등산로문학산 능선~연경정아래1.02
5문학산미추홀구학익동문학산등산로제2경인학익분기점~노적봉0.8
6문학산미추홀구학익동문학산등산로학익배수지~레포츠공원입구1.54
7문학산미추홀구학익동문학산등산로학익배수지~레포츠공원내등산로0.36
8문학산미추홀구학익동문학산등산로학익배수지~레포츠공원내등산로0.29
9문학산미추홀구학익동문학산등산로레포츠공원내등산로~연경정아래0.72
산명(권역명)시군구읍면동등산로명또는노선명노선연장거리(킬로미터)
27승학산미추홀구문학+주안+관교동승학산등산로도호부청사옆씨름장~수미정사입구0.73
28승학산미추홀구문학+주안+관교동승학산등산로수미정사입구~도화부청사뒤 등산로0.43
29승학산미추홀구문학+주안+관교동승학산등산로수미정사입구~도화부청사뒤 등산로0.73
30승학산미추홀구문학+주안+관교동승학산등산로수미정사입구~도화부청사뒤 등산로0.33
31승학산미추홀구문학+주안+관교동승학산등산로도호부청사 뒤편~사격장아래0.39
32승학산미추홀구문학+주안+관교동승학산등산로도호부청사 뒤편~사격장 부근0.19
33승학산미추홀구문학+주안+관교동승학산등산로예비군훈련장입구~양원교회뒤편0.4
34승학산미추홀구문학+주안+관교동승학산등산로양원교회뒤편~신비마을아파트(112동)0.45
35승학산미추홀구문학+주안+관교동승학산등산로신비마을아파트(112동)~사격장부근0.28
36승학산미추홀구문학+주안+관교동승학산등산로신비마을아파트(112동)~사격장아래0.46