Overview

Dataset statistics

Number of variables7
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory64.3 B

Variable types

Text2
Categorical2
Numeric3

Alerts

데이터기준일자 has constant value ""Constant
산개수 is highly overall correlated with 노선수(개소) and 1 other fieldsHigh correlation
노선수(개소) is highly overall correlated with 산개수 and 1 other fieldsHigh correlation
총연장거리(km) is highly overall correlated with 산개수 and 1 other fieldsHigh correlation
시군명 has unique valuesUnique
산정보 has unique valuesUnique
총연장거리(km) has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:19:19.120295
Analysis finished2023-12-10 21:19:20.276769
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:19:20.399047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Characters and Unicode

Total characters96
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row가평군
2nd row고양시
3rd row과천시
4th row광명시
5th row광주시
ValueCountFrequency (%)
가평군 1
 
3.2%
안양시 1
 
3.2%
하남시 1
 
3.2%
포천시 1
 
3.2%
평택시 1
 
3.2%
파주시 1
 
3.2%
이천시 1
 
3.2%
의정부시 1
 
3.2%
의왕시 1
 
3.2%
용인시 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T06:19:20.716520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 30
31.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
성 3
 
3.1%
포 3
 
3.1%
군 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 30
31.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
성 3
 
3.1%
포 3
 
3.1%
군 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 30
31.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
성 3
 
3.1%
포 3
 
3.1%
군 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 30
31.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
성 3
 
3.1%
포 3
 
3.1%
군 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

지역구분명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
남부
21 
북부
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row북부
2nd row북부
3rd row남부
4th row남부
5th row남부

Common Values

ValueCountFrequency (%)
남부 21
67.7%
북부 10
32.3%

Length

2023-12-11T06:19:21.051768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:19:21.135418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부 21
67.7%
북부 10
32.3%

산정보
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:19:21.377650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length246
Median length95
Mean length59.451613
Min length3

Characters and Unicode

Total characters1843
Distinct characters206
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row애기봉, 수덕산, 국망봉, 견치봉, 민둥산, 강씨봉, 귀목봉, 청계산, 개주산, 통방산, 삼태봉, 중미산, 소구니산, 봉미산, 화악산, 중봉, 촉대봉, 몽덕산, 가덕산, 북배산, 계관산, 신성봉, 주금산, 서리산, 축령산, 은두봉, 깃대봉, 매봉, 칼봉, 노적봉, 옥녀봉, 대금산, 청우산, 불기산, 주발봉, 뾰루봉, 화야산, 고동산, 곡달산, 어비산, 보리산, 장락산, 왕터산, 석룡산, 보납산, 호명산, 유명산, 운악산, 명지산, 연인산
2nd row개명산, 노고산, 심리산, 장령산
3rd row관악산, 청계산
4th row도덕산, 구름산, 가학산, 서독산
5th row관산, 국수봉, 군월산, 남한산성, 노적산, 망덕산, 맹산, 무갑산, 문형산, 백만산, 불곡산, 사태봉산, 안골뒷산, 앵자봉, 약수산, 용마산, 원적산, 정광산, 칠사산, 태전초뒷산, 태화산, 해협산
ValueCountFrequency (%)
청계산 6
 
1.6%
백운산 3
 
0.8%
해룡산 3
 
0.8%
불곡산 3
 
0.8%
주금산 3
 
0.8%
감악산 3
 
0.8%
태봉산 3
 
0.8%
수리산 3
 
0.8%
매봉산 3
 
0.8%
고래산 3
 
0.8%
Other values (293) 343
91.2%
2023-12-11T06:19:21.801662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
345
18.7%
, 344
18.7%
산 335
18.2%
봉 82
 
4.4%
고 17
 
0.9%
성 17
 
0.9%
금 15
 
0.8%
수 14
 
0.8%
리 14
 
0.8%
마 14
 
0.8%
Other values (196) 646
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1144
62.1%
Space Separator 345
 
18.7%
Other Punctuation 344
 
18.7%
Open Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 335
29.3%
봉 82
 
7.2%
고 17
 
1.5%
성 17
 
1.5%
금 15
 
1.3%
수 14
 
1.2%
리 14
 
1.2%
마 14
 
1.2%
명 13
 
1.1%
보 12
 
1.0%
Other values (192) 611
53.4%
Space Separator
ValueCountFrequency (%)
345
100.0%
Other Punctuation
ValueCountFrequency (%)
, 344
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1144
62.1%
Common 699
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 335
29.3%
봉 82
 
7.2%
고 17
 
1.5%
성 17
 
1.5%
금 15
 
1.3%
수 14
 
1.2%
리 14
 
1.2%
마 14
 
1.2%
명 13
 
1.1%
보 12
 
1.0%
Other values (192) 611
53.4%
Common
ValueCountFrequency (%)
345
49.4%
, 344
49.2%
( 5
 
0.7%
) 5
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1144
62.1%
ASCII 699
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
345
49.4%
, 344
49.2%
( 5
 
0.7%
) 5
 
0.7%
Hangul
ValueCountFrequency (%)
산 335
29.3%
봉 82
 
7.2%
고 17
 
1.5%
성 17
 
1.5%
금 15
 
1.3%
수 14
 
1.2%
리 14
 
1.2%
마 14
 
1.2%
명 13
 
1.1%
보 12
 
1.0%
Other values (192) 611
53.4%

산개수
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.129032
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T06:19:21.920591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.5
Q14
median8
Q319.5
95-th percentile35.5
Maximum50
Range49
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation12.057479
Coefficient of variation (CV)0.99410065
Kurtosis2.9886053
Mean12.129032
Median Absolute Deviation (MAD)6
Skewness1.7066457
Sum376
Variance145.3828
MonotonicityNot monotonic
2023-12-11T06:19:22.021802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 4
12.9%
4 3
9.7%
22 3
9.7%
5 3
9.7%
6 3
9.7%
8 3
9.7%
1 2
6.5%
11 2
6.5%
19 2
6.5%
20 2
6.5%
Other values (4) 4
12.9%
ValueCountFrequency (%)
1 2
6.5%
2 4
12.9%
4 3
9.7%
5 3
9.7%
6 3
9.7%
8 3
9.7%
10 1
 
3.2%
11 2
6.5%
19 2
6.5%
20 2
6.5%
ValueCountFrequency (%)
50 1
 
3.2%
44 1
 
3.2%
27 1
 
3.2%
22 3
9.7%
20 2
6.5%
19 2
6.5%
11 2
6.5%
10 1
 
3.2%
8 3
9.7%
6 3
9.7%

노선수(개소)
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.935484
Minimum3
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T06:19:22.118942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q16.5
median18
Q350.5
95-th percentile101
Maximum131
Range128
Interquartile range (IQR)44

Descriptive statistics

Standard deviation36.786715
Coefficient of variation (CV)1.05299
Kurtosis0.1870067
Mean34.935484
Median Absolute Deviation (MAD)13
Skewness1.166568
Sum1083
Variance1353.2624
MonotonicityNot monotonic
2023-12-11T06:19:22.226595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
6 3
 
9.7%
4 2
 
6.5%
9 2
 
6.5%
5 2
 
6.5%
19 2
 
6.5%
131 1
 
3.2%
104 1
 
3.2%
44 1
 
3.2%
41 1
 
3.2%
14 1
 
3.2%
Other values (15) 15
48.4%
ValueCountFrequency (%)
3 1
 
3.2%
4 2
6.5%
5 2
6.5%
6 3
9.7%
7 1
 
3.2%
9 2
6.5%
10 1
 
3.2%
12 1
 
3.2%
14 1
 
3.2%
17 1
 
3.2%
ValueCountFrequency (%)
131 1
3.2%
104 1
3.2%
98 1
3.2%
93 1
3.2%
83 1
3.2%
81 1
3.2%
78 1
3.2%
57 1
3.2%
44 1
3.2%
43 1
3.2%

총연장거리(km)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.96129
Minimum11.6
Maximum496.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T06:19:22.353463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.6
5-th percentile15.8
Q126.45
median54
Q3161.35
95-th percentile313.85
Maximum496.6
Range485
Interquartile range (IQR)134.9

Descriptive statistics

Standard deviation115.87865
Coefficient of variation (CV)1.0634846
Kurtosis2.9942722
Mean108.96129
Median Absolute Deviation (MAD)37.2
Skewness1.7056313
Sum3377.8
Variance13427.862
MonotonicityNot monotonic
2023-12-11T06:19:22.472773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
496.6 1
 
3.2%
20.7 1
 
3.2%
187.1 1
 
3.2%
18.4 1
 
3.2%
149.4 1
 
3.2%
37.7 1
 
3.2%
271.8 1
 
3.2%
42.6 1
 
3.2%
38.1 1
 
3.2%
95.0 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
11.6 1
3.2%
15.0 1
3.2%
16.6 1
3.2%
16.8 1
3.2%
18.4 1
3.2%
20.7 1
3.2%
22.4 1
3.2%
25.2 1
3.2%
27.7 1
3.2%
31.3 1
3.2%
ValueCountFrequency (%)
496.6 1
3.2%
327.5 1
3.2%
300.2 1
3.2%
271.8 1
3.2%
235.3 1
3.2%
187.1 1
3.2%
181.8 1
3.2%
169.0 1
3.2%
153.7 1
3.2%
149.4 1
3.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
20221231
31 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20221231
2nd row20221231
3rd row20221231
4th row20221231
5th row20221231

Common Values

ValueCountFrequency (%)
20221231 31
100.0%

Length

2023-12-11T06:19:22.589775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:19:22.686219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20221231 31
100.0%

Interactions

2023-12-11T06:19:19.892688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:19.438368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:19.663946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:19.964205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:19.519577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:19.733575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:20.044065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:19.590652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:19.815362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:19:22.790657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명지역구분명산정보산개수노선수(개소)총연장거리(km)
시군명1.0001.0001.0001.0001.0001.000
지역구분명1.0001.0001.0000.2730.0000.000
산정보1.0001.0001.0001.0001.0001.000
산개수1.0000.2731.0001.0000.8320.928
노선수(개소)1.0000.0001.0000.8321.0000.846
총연장거리(km)1.0000.0001.0000.9280.8461.000
2023-12-11T06:19:22.886366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
산개수노선수(개소)총연장거리(km)지역구분명
산개수1.0000.8080.8220.161
노선수(개소)0.8081.0000.8870.000
총연장거리(km)0.8220.8871.0000.000
지역구분명0.1610.0000.0001.000

Missing values

2023-12-11T06:19:20.135829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:19:20.237365image/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

시군명지역구분명산정보산개수노선수(개소)총연장거리(km)데이터기준일자
0가평군북부애기봉, 수덕산, 국망봉, 견치봉, 민둥산, 강씨봉, 귀목봉, 청계산, 개주산, 통방산, 삼태봉, 중미산, 소구니산, 봉미산, 화악산, 중봉, 촉대봉, 몽덕산, 가덕산, 북배산, 계관산, 신성봉, 주금산, 서리산, 축령산, 은두봉, 깃대봉, 매봉, 칼봉, 노적봉, 옥녀봉, 대금산, 청우산, 불기산, 주발봉, 뾰루봉, 화야산, 고동산, 곡달산, 어비산, 보리산, 장락산, 왕터산, 석룡산, 보납산, 호명산, 유명산, 운악산, 명지산, 연인산50131496.620221231
1고양시북부개명산, 노고산, 심리산, 장령산4720.720221231
2과천시남부관악산, 청계산2422.420221231
3광명시남부도덕산, 구름산, 가학산, 서독산4316.820221231
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