Overview

Dataset statistics

Number of variables16
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory135.3 B

Variable types

Numeric2
Categorical10
Text4

Dataset

Description국립자연휴양림의 연령대별 선호휴양림 데이터로 년도, 20대순위, 20대휴양림, 20대건수,30대순위,30대휴양림,30대건수,40대순위,40대휴양림,40대건수,50대순위 ,50대휴양림,50대건수,60대이상순위,60대이상,휴양림,60대이상건수를 제공합니다.
Author산림청 국립자연휴양림관리소
URLhttps://www.data.go.kr/data/15052680/fileData.do

Alerts

60대이상순위 is highly overall correlated with 20대순위 and 8 other fieldsHigh correlation
50대순위 is highly overall correlated with 20대순위 and 8 other fieldsHigh correlation
20대순위 is highly overall correlated with 20대휴양림 and 6 other fieldsHigh correlation
40대순위 is highly overall correlated with 20대순위 and 8 other fieldsHigh correlation
30대순위 is highly overall correlated with 20대순위 and 8 other fieldsHigh correlation
20대휴양림 is highly overall correlated with 20대순위 and 7 other fieldsHigh correlation
30대휴양림 is highly overall correlated with 20대순위 and 5 other fieldsHigh correlation
40대휴양림 is highly overall correlated with 20대휴양림 and 6 other fieldsHigh correlation
50대휴양림 is highly overall correlated with 20대순위 and 6 other fieldsHigh correlation
60대이상휴양림 is highly overall correlated with 30대순위 and 4 other fieldsHigh correlation
50대건수 has unique valuesUnique
60대이상건수 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:36:46.986448
Analysis finished2024-03-23 05:36:49.819785
Duration2.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Real number (ℝ)

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.4839
Minimum2018
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-03-23T14:36:49.893880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2018
5-th percentile2018
Q12019
median2020
Q32022
95-th percentile2023
Maximum2023
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7101845
Coefficient of variation (CV)0.00084642326
Kurtosis-1.2206181
Mean2020.4839
Median Absolute Deviation (MAD)1
Skewness0.029355218
Sum62635
Variance2.9247312
MonotonicityIncreasing
2024-03-23T14:36:50.077108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2020 6
19.4%
2018 5
16.1%
2019 5
16.1%
2021 5
16.1%
2022 5
16.1%
2023 5
16.1%
ValueCountFrequency (%)
2018 5
16.1%
2019 5
16.1%
2020 6
19.4%
2021 5
16.1%
2022 5
16.1%
2023 5
16.1%
ValueCountFrequency (%)
2023 5
16.1%
2022 5
16.1%
2021 5
16.1%
2020 6
19.4%
2019 5
16.1%
2018 5
16.1%

20대순위
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
4
7 
1
6 
2
6 
3
6 
5
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5

Common Values

ValueCountFrequency (%)
4 7
22.6%
1 6
19.4%
2 6
19.4%
3 6
19.4%
5 6
19.4%

Length

2024-03-23T14:36:50.291394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:36:50.501013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 7
22.6%
1 6
19.4%
2 6
19.4%
3 6
19.4%
5 6
19.4%

20대휴양림
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
유명산 자연휴양림
6 
산음 자연휴양림
5 
남해편백 자연휴양림
3 
대관령 자연휴양림
3 
희리산 자연휴양림
3 
Other values (7)
11 

Length

Max length10
Median length9
Mean length8.7419355
Min length8

Unique

Unique4 ?
Unique (%)12.9%

Sample

1st row유명산 자연휴양림
2nd row산음 자연휴양림
3rd row남해편백 자연휴양림
4th row상당산성 자연휴양림
5th row운문산 자연휴양림

Common Values

ValueCountFrequency (%)
유명산 자연휴양림 6
19.4%
산음 자연휴양림 5
16.1%
남해편백 자연휴양림 3
9.7%
대관령 자연휴양림 3
9.7%
희리산 자연휴양림 3
9.7%
신시도자연휴양림 3
9.7%
운문산 자연휴양림 2
 
6.5%
화천숲속 야영장 2
 
6.5%
상당산성 자연휴양림 1
 
3.2%
덕유산 자연휴양림 1
 
3.2%
Other values (2) 2
 
6.5%

Length

2024-03-23T14:36:50.749387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자연휴양림 26
44.1%
유명산 6
 
10.2%
산음 5
 
8.5%
남해편백 3
 
5.1%
대관령 3
 
5.1%
희리산 3
 
5.1%
신시도자연휴양림 3
 
5.1%
운문산 2
 
3.4%
화천숲속 2
 
3.4%
야영장 2
 
3.4%
Other values (4) 4
 
6.8%

20대건수
Real number (ℝ)

Distinct29
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean313.45161
Minimum148
Maximum682
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-03-23T14:36:50.985029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum148
5-th percentile149.5
Q1253
median295
Q3386.5
95-th percentile520.5
Maximum682
Range534
Interquartile range (IQR)133.5

Descriptive statistics

Standard deviation124.64077
Coefficient of variation (CV)0.3976396
Kurtosis1.2034329
Mean313.45161
Median Absolute Deviation (MAD)71
Skewness0.94510988
Sum9717
Variance15535.323
MonotonicityNot monotonic
2024-03-23T14:36:51.207509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
253 2
 
6.5%
148 2
 
6.5%
530 1
 
3.2%
318 1
 
3.2%
297 1
 
3.2%
424 1
 
3.2%
447 1
 
3.2%
258 1
 
3.2%
275 1
 
3.2%
366 1
 
3.2%
Other values (19) 19
61.3%
ValueCountFrequency (%)
148 2
6.5%
151 1
3.2%
157 1
3.2%
167 1
3.2%
173 1
3.2%
241 1
3.2%
253 2
6.5%
258 1
3.2%
260 1
3.2%
263 1
3.2%
ValueCountFrequency (%)
682 1
3.2%
530 1
3.2%
511 1
3.2%
447 1
3.2%
443 1
3.2%
424 1
3.2%
415 1
3.2%
403 1
3.2%
370 1
3.2%
366 1
3.2%

30대순위
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
2
7 
1
6 
4
6 
5
6 
3
5 

Length

Max length4
Median length1
Mean length1.0967742
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5

Common Values

ValueCountFrequency (%)
2 7
22.6%
1 6
19.4%
4 6
19.4%
5 6
19.4%
3 5
16.1%
해당없음 1
 
3.2%

Length

2024-03-23T14:36:51.454332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:36:51.674631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 7
22.6%
1 6
19.4%
4 6
19.4%
5 6
19.4%
3 5
16.1%
해당없음 1
 
3.2%

30대휴양림
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
유명산 자연휴양림
6 
희리산 자연휴양림
5 
산음 자연휴양림
4 
화천숲속 야영장
4 
남해편백 자연휴양림
3 
Other values (5)
9 

Length

Max length10
Median length9
Mean length8.483871
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

1st row유명산 자연휴양림
2nd row산음 자연휴양림
3rd row남해편백 자연휴양림
4th row희리산 자연휴양림
5th row중미산 자연휴양림

Common Values

ValueCountFrequency (%)
유명산 자연휴양림 6
19.4%
희리산 자연휴양림 5
16.1%
산음 자연휴양림 4
12.9%
화천숲속 야영장 4
12.9%
남해편백 자연휴양림 3
9.7%
변산 자연휴양림 3
9.7%
신시도자연휴양림 3
9.7%
중미산 자연휴양림 1
 
3.2%
운문산 자연휴양림 1
 
3.2%
해당없음 1
 
3.2%

Length

2024-03-23T14:36:51.909869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:36:52.218821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자연휴양림 23
39.7%
유명산 6
 
10.3%
희리산 5
 
8.6%
산음 4
 
6.9%
화천숲속 4
 
6.9%
야영장 4
 
6.9%
남해편백 3
 
5.2%
변산 3
 
5.2%
신시도자연휴양림 3
 
5.2%
중미산 1
 
1.7%
Other values (2) 2
 
3.4%

30대건수
Text

Distinct29
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-03-23T14:36:52.552138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.8709677
Min length3

Characters and Unicode

Total characters120
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)87.1%

Sample

1st row4359
2nd row2456
3rd row2308
4th row2006
5th row1845
ValueCountFrequency (%)
2006 2
 
6.5%
1766 2
 
6.5%
2751 1
 
3.2%
4359 1
 
3.2%
해당없음 1
 
3.2%
1147 1
 
3.2%
1341 1
 
3.2%
1504 1
 
3.2%
1793 1
 
3.2%
1418 1
 
3.2%
Other values (19) 19
61.3%
2024-03-23T14:36:53.162740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 22
18.3%
4 15
12.5%
2 13
10.8%
0 13
10.8%
7 12
10.0%
6 11
9.2%
9 10
8.3%
8 7
 
5.8%
5 7
 
5.8%
3 6
 
5.0%
Other values (4) 4
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 116
96.7%
Other Letter 4
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 22
19.0%
4 15
12.9%
2 13
11.2%
0 13
11.2%
7 12
10.3%
6 11
9.5%
9 10
8.6%
8 7
 
6.0%
5 7
 
6.0%
3 6
 
5.2%
Other Letter
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116
96.7%
Hangul 4
 
3.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 22
19.0%
4 15
12.9%
2 13
11.2%
0 13
11.2%
7 12
10.3%
6 11
9.5%
9 10
8.6%
8 7
 
6.0%
5 7
 
6.0%
3 6
 
5.2%
Hangul
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116
96.7%
Hangul 4
 
3.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 22
19.0%
4 15
12.9%
2 13
11.2%
0 13
11.2%
7 12
10.3%
6 11
9.5%
9 10
8.6%
8 7
 
6.0%
5 7
 
6.0%
3 6
 
5.2%
Hangul
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

40대순위
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
3
7 
1
6 
2
6 
5
6 
4
5 

Length

Max length4
Median length1
Mean length1.0967742
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5

Common Values

ValueCountFrequency (%)
3 7
22.6%
1 6
19.4%
2 6
19.4%
5 6
19.4%
4 5
16.1%
해당없음 1
 
3.2%

Length

2024-03-23T14:36:53.454683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:36:53.757578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7
22.6%
1 6
19.4%
2 6
19.4%
5 6
19.4%
4 5
16.1%
해당없음 1
 
3.2%

40대휴양림
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
유명산 자연휴양림
6 
산음 자연휴양림
5 
희리산 자연휴양림
5 
변산 자연휴양림
4 
남해편백 자연휴양림
3 
Other values (5)
8 

Length

Max length10
Median length9
Mean length8.5483871
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

1st row유명산 자연휴양림
2nd row산음 자연휴양림
3rd row남해편백 자연휴양림
4th row중미산 자연휴양림
5th row희리산 자연휴양림

Common Values

ValueCountFrequency (%)
유명산 자연휴양림 6
19.4%
산음 자연휴양림 5
16.1%
희리산 자연휴양림 5
16.1%
변산 자연휴양림 4
12.9%
남해편백 자연휴양림 3
9.7%
신시도자연휴양림 3
9.7%
운문산 자연휴양림 2
 
6.5%
중미산 자연휴양림 1
 
3.2%
대관령 자연휴양림 1
 
3.2%
해당없음 1
 
3.2%

Length

2024-03-23T14:36:54.007969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:36:54.222558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자연휴양림 27
46.6%
유명산 6
 
10.3%
산음 5
 
8.6%
희리산 5
 
8.6%
변산 4
 
6.9%
남해편백 3
 
5.2%
신시도자연휴양림 3
 
5.2%
운문산 2
 
3.4%
중미산 1
 
1.7%
대관령 1
 
1.7%

40대건수
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-03-23T14:36:54.544454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters124
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)93.5%

Sample

1st row9022
2nd row5537
3rd row4326
4th row4139
5th row3819
ValueCountFrequency (%)
4511 2
 
6.5%
9022 1
 
3.2%
5537 1
 
3.2%
3788 1
 
3.2%
3791 1
 
3.2%
4449 1
 
3.2%
5980 1
 
3.2%
3728 1
 
3.2%
4897 1
 
3.2%
8284 1
 
3.2%
Other values (20) 20
64.5%
2024-03-23T14:36:55.070882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 18
14.5%
4 17
13.7%
3 16
12.9%
8 14
11.3%
1 13
10.5%
9 10
8.1%
5 9
7.3%
0 9
7.3%
7 8
6.5%
6 6
 
4.8%
Other values (4) 4
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
96.8%
Other Letter 4
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 18
15.0%
4 17
14.2%
3 16
13.3%
8 14
11.7%
1 13
10.8%
9 10
8.3%
5 9
7.5%
0 9
7.5%
7 8
6.7%
6 6
 
5.0%
Other Letter
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120
96.8%
Hangul 4
 
3.2%

Most frequent character per script

Common
ValueCountFrequency (%)
2 18
15.0%
4 17
14.2%
3 16
13.3%
8 14
11.7%
1 13
10.8%
9 10
8.3%
5 9
7.5%
0 9
7.5%
7 8
6.7%
6 6
 
5.0%
Hangul
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120
96.8%
Hangul 4
 
3.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 18
15.0%
4 17
14.2%
3 16
13.3%
8 14
11.7%
1 13
10.8%
9 10
8.3%
5 9
7.5%
0 9
7.5%
7 8
6.7%
6 6
 
5.0%
Hangul
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

50대순위
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
1
6 
2
6 
3
6 
4
6 
5
6 

Length

Max length4
Median length1
Mean length1.0967742
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5

Common Values

ValueCountFrequency (%)
1 6
19.4%
2 6
19.4%
3 6
19.4%
4 6
19.4%
5 6
19.4%
해당없음 1
 
3.2%

Length

2024-03-23T14:36:55.348402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:36:55.558105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6
19.4%
2 6
19.4%
3 6
19.4%
4 6
19.4%
5 6
19.4%
해당없음 1
 
3.2%

50대휴양림
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
유명산 자연휴양림
6 
산음 자연휴양림
6 
남해편백 자연휴양림
4 
대관령 자연휴양림
4 
변산 자연휴양림
3 
Other values (5)
8 

Length

Max length10
Median length9
Mean length8.6129032
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

1st row유명산 자연휴양림
2nd row산음 자연휴양림
3rd row남해편백 자연휴양림
4th row중미산 자연휴양림
5th row대관령 자연휴양림

Common Values

ValueCountFrequency (%)
유명산 자연휴양림 6
19.4%
산음 자연휴양림 6
19.4%
남해편백 자연휴양림 4
12.9%
대관령 자연휴양림 4
12.9%
변산 자연휴양림 3
9.7%
희리산 자연휴양림 3
9.7%
신시도자연휴양림 2
 
6.5%
중미산 자연휴양림 1
 
3.2%
해당없음 1
 
3.2%
청태산 자연휴양림 1
 
3.2%

Length

2024-03-23T14:36:55.845332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:36:56.183328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자연휴양림 28
47.5%
유명산 6
 
10.2%
산음 6
 
10.2%
남해편백 4
 
6.8%
대관령 4
 
6.8%
변산 3
 
5.1%
희리산 3
 
5.1%
신시도자연휴양림 2
 
3.4%
중미산 1
 
1.7%
해당없음 1
 
1.7%

50대건수
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-03-23T14:36:56.535260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters124
Distinct characters14
Distinct categories2 ?
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 row5301
2nd row3184
3rd row2614
4th row2395
5th row2124
ValueCountFrequency (%)
5301 1
 
3.2%
5263 1
 
3.2%
3387 1
 
3.2%
4093 1
 
3.2%
4442 1
 
3.2%
6233 1
 
3.2%
3092 1
 
3.2%
3109 1
 
3.2%
3664 1
 
3.2%
4776 1
 
3.2%
Other values (21) 21
67.7%
2024-03-23T14:36:57.064824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 22
17.7%
2 16
12.9%
1 15
12.1%
6 15
12.1%
4 12
9.7%
9 9
7.3%
5 8
 
6.5%
8 8
 
6.5%
7 8
 
6.5%
0 7
 
5.6%
Other values (4) 4
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
96.8%
Other Letter 4
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 22
18.3%
2 16
13.3%
1 15
12.5%
6 15
12.5%
4 12
10.0%
9 9
7.5%
5 8
 
6.7%
8 8
 
6.7%
7 8
 
6.7%
0 7
 
5.8%
Other Letter
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120
96.8%
Hangul 4
 
3.2%

Most frequent character per script

Common
ValueCountFrequency (%)
3 22
18.3%
2 16
13.3%
1 15
12.5%
6 15
12.5%
4 12
10.0%
9 9
7.5%
5 8
 
6.7%
8 8
 
6.7%
7 8
 
6.7%
0 7
 
5.8%
Hangul
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120
96.8%
Hangul 4
 
3.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 22
18.3%
2 16
13.3%
1 15
12.5%
6 15
12.5%
4 12
10.0%
9 9
7.5%
5 8
 
6.7%
8 8
 
6.7%
7 8
 
6.7%
0 7
 
5.8%
Hangul
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

60대이상순위
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
1
6 
2
6 
3
6 
4
6 
5
6 

Length

Max length4
Median length1
Mean length1.0967742
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5

Common Values

ValueCountFrequency (%)
1 6
19.4%
2 6
19.4%
3 6
19.4%
4 6
19.4%
5 6
19.4%
해당없음 1
 
3.2%

Length

2024-03-23T14:36:57.314837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:36:57.537704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6
19.4%
2 6
19.4%
3 6
19.4%
4 6
19.4%
5 6
19.4%
해당없음 1
 
3.2%

60대이상휴양림
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
유명산 자연휴양림
6 
대관령 자연휴양림
5 
변산 자연휴양림
4 
산음 자연휴양림
4 
남해편백 자연휴양림
3 
Other values (5)
9 

Length

Max length10
Median length9
Mean length8.5806452
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

1st row유명산 자연휴양림
2nd row대관령 자연휴양림
3rd row칠보산 자연휴양림
4th row청태산 자연휴양림
5th row남해편백 자연휴양림

Common Values

ValueCountFrequency (%)
유명산 자연휴양림 6
19.4%
대관령 자연휴양림 5
16.1%
변산 자연휴양림 4
12.9%
산음 자연휴양림 4
12.9%
남해편백 자연휴양림 3
9.7%
신시도자연휴양림 3
9.7%
칠보산 자연휴양림 2
 
6.5%
청태산 자연휴양림 2
 
6.5%
희리산 자연휴양림 1
 
3.2%
해당없음 1
 
3.2%

Length

2024-03-23T14:36:57.854978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:36:58.115345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자연휴양림 27
46.6%
유명산 6
 
10.3%
대관령 5
 
8.6%
변산 4
 
6.9%
산음 4
 
6.9%
남해편백 3
 
5.2%
신시도자연휴양림 3
 
5.2%
칠보산 2
 
3.4%
청태산 2
 
3.4%
희리산 1
 
1.7%

60대이상건수
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-03-23T14:36:58.525787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.9032258
Min length3

Characters and Unicode

Total characters121
Distinct characters14
Distinct categories2 ?
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 row3599
2nd row2430
3rd row2044
4th row2029
5th row1754
ValueCountFrequency (%)
3599 1
 
3.2%
3776 1
 
3.2%
3307 1
 
3.2%
3663 1
 
3.2%
3933 1
 
3.2%
5004 1
 
3.2%
3090 1
 
3.2%
3120 1
 
3.2%
3543 1
 
3.2%
3582 1
 
3.2%
Other values (21) 21
67.7%
2024-03-23T14:36:59.498545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 19
15.7%
2 17
14.0%
5 15
12.4%
0 14
11.6%
7 13
10.7%
4 10
8.3%
9 9
7.4%
1 9
7.4%
8 6
 
5.0%
6 5
 
4.1%
Other values (4) 4
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 117
96.7%
Other Letter 4
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 19
16.2%
2 17
14.5%
5 15
12.8%
0 14
12.0%
7 13
11.1%
4 10
8.5%
9 9
7.7%
1 9
7.7%
8 6
 
5.1%
6 5
 
4.3%
Other Letter
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117
96.7%
Hangul 4
 
3.3%

Most frequent character per script

Common
ValueCountFrequency (%)
3 19
16.2%
2 17
14.5%
5 15
12.8%
0 14
12.0%
7 13
11.1%
4 10
8.5%
9 9
7.7%
1 9
7.7%
8 6
 
5.1%
6 5
 
4.3%
Hangul
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117
96.7%
Hangul 4
 
3.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 19
16.2%
2 17
14.5%
5 15
12.8%
0 14
12.0%
7 13
11.1%
4 10
8.5%
9 9
7.7%
1 9
7.7%
8 6
 
5.1%
6 5
 
4.3%
Hangul
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

Interactions

2024-03-23T14:36:49.000092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:36:48.632164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:36:49.144678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:36:48.843453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:36:59.715061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도20대순위20대휴양림20대건수30대순위30대휴양림30대건수40대순위40대휴양림40대건수50대순위50대휴양림50대건수60대이상순위60대이상휴양림60대이상건수
년도1.0000.0000.0000.7250.0000.0001.0000.0000.0001.0000.0000.0001.0000.0000.0001.000
20대순위0.0001.0000.8740.5030.9400.8900.6910.9410.8540.9000.9630.9891.0000.9630.8681.000
20대휴양림0.0000.8741.0000.0000.9370.8610.7440.9190.8290.9730.9400.8331.0000.9400.6701.000
20대건수0.7250.5030.0001.0000.6280.0000.9820.5260.0000.9700.5340.0001.0000.5340.0001.000
30대순위0.0000.9400.9370.6281.0000.8540.9610.9980.8340.9490.9990.9291.0000.9990.8581.000
30대휴양림0.0000.8900.8610.0000.8541.0000.9740.8320.9040.9800.8490.8921.0000.8490.7761.000
30대건수1.0000.6910.7440.9820.9610.9741.0000.8280.1950.9850.8340.0001.0000.8340.8361.000
40대순위0.0000.9410.9190.5260.9980.8320.8281.0000.8251.0000.9990.9241.0000.9990.8721.000
40대휴양림0.0000.8540.8290.0000.8340.9040.1950.8251.0000.9850.8160.9151.0000.8160.9161.000
40대건수1.0000.9000.9730.9700.9490.9800.9851.0000.9851.0000.9390.8951.0000.9390.9621.000
50대순위0.0000.9630.9400.5340.9990.8490.8340.9990.8160.9391.0000.9411.0001.0000.8471.000
50대휴양림0.0000.9890.8330.0000.9290.8920.0000.9240.9150.8950.9411.0001.0000.9410.9031.000
50대건수1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
60대이상순위0.0000.9630.9400.5340.9990.8490.8340.9990.8160.9391.0000.9411.0001.0000.8471.000
60대이상휴양림0.0000.8680.6700.0000.8580.7760.8360.8720.9160.9620.8470.9031.0000.8471.0001.000
60대이상건수1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-23T14:37:00.024288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
60대이상휴양림20대휴양림60대이상순위50대순위20대순위30대휴양림40대순위40대휴양림30대순위50대휴양림
60대이상휴양림1.0000.3190.5990.5990.4770.3230.6400.5220.6170.495
20대휴양림0.3191.0000.5690.5690.6160.5560.5280.5030.5620.510
60대이상순위0.5990.5691.0001.0000.9420.6020.9650.5530.9650.775
50대순위0.5990.5691.0001.0000.9420.6020.9650.5530.9650.775
20대순위0.4770.6160.9420.9421.0000.5080.9000.4600.8970.764
30대휴양림0.3230.5560.6020.6020.5081.0000.5760.4960.6100.473
40대순위0.6400.5280.9650.9650.9000.5761.0000.5660.9320.738
40대휴양림0.5220.5030.5530.5530.4600.4960.5661.0000.5790.521
30대순위0.6170.5620.9650.9650.8970.6100.9320.5791.0000.750
50대휴양림0.4950.5100.7750.7750.7640.4730.7380.5210.7501.000
2024-03-23T14:37:00.270944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도20대건수20대순위20대휴양림30대순위30대휴양림40대순위40대휴양림50대순위50대휴양림60대이상순위60대이상휴양림
년도1.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
20대건수0.0081.0000.2880.0000.2940.0000.1990.0000.2070.0000.2070.000
20대순위0.0000.2881.0000.6160.8970.5080.9000.4600.9420.7640.9420.477
20대휴양림0.0000.0000.6161.0000.5620.5560.5280.5030.5690.5100.5690.319
30대순위0.0000.2940.8970.5621.0000.6100.9320.5790.9650.7500.9650.617
30대휴양림0.0000.0000.5080.5560.6101.0000.5760.4960.6020.4730.6020.323
40대순위0.0000.1990.9000.5280.9320.5761.0000.5660.9650.7380.9650.640
40대휴양림0.0000.0000.4600.5030.5790.4960.5661.0000.5530.5210.5530.522
50대순위0.0000.2070.9420.5690.9650.6020.9650.5531.0000.7751.0000.599
50대휴양림0.0000.0000.7640.5100.7500.4730.7380.5210.7751.0000.7750.495
60대이상순위0.0000.2070.9420.5690.9650.6020.9650.5531.0000.7751.0000.599
60대이상휴양림0.0000.0000.4770.3190.6170.3230.6400.5220.5990.4950.5991.000

Missing values

2024-03-23T14:36:49.381796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:36:49.715541image/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

년도20대순위20대휴양림20대건수30대순위30대휴양림30대건수40대순위40대휴양림40대건수50대순위50대휴양림50대건수60대이상순위60대이상휴양림60대이상건수
020181유명산 자연휴양림5301유명산 자연휴양림43591유명산 자연휴양림90221유명산 자연휴양림53011유명산 자연휴양림3599
120182산음 자연휴양림3702산음 자연휴양림24562산음 자연휴양림55372산음 자연휴양림31842대관령 자연휴양림2430
220183남해편백 자연휴양림3093남해편백 자연휴양림23083남해편백 자연휴양림43263남해편백 자연휴양림26143칠보산 자연휴양림2044
320184상당산성 자연휴양림2874희리산 자연휴양림20064중미산 자연휴양림41394중미산 자연휴양림23954청태산 자연휴양림2029
420185운문산 자연휴양림2635중미산 자연휴양림18455희리산 자연휴양림38195대관령 자연휴양림21245남해편백 자연휴양림1754
520191유명산 자연휴양림6821유명산 자연휴양림40871유명산 자연휴양림88851유명산 자연휴양림55741유명산 자연휴양림3733
620192산음 자연휴양림4032산음 자연휴양림21222산음 자연휴양림48202산음 자연휴양림34692칠보산 자연휴양림2097
720193대관령 자연휴양림3053남해편백 자연휴양림20293남해편백 자연휴양림40233남해편백 자연휴양림26693변산 자연휴양림1925
820194남해편백 자연휴양림2954변산 자연휴양림17074변산 자연휴양림39544변산 자연휴양림24894산음 자연휴양림1895
920195덕유산 자연휴양림2655운문산 자연휴양림14585운문산 자연휴양림34105대관령 자연휴양림21385남해편백 자연휴양림1756
년도20대순위20대휴양림20대건수30대순위30대휴양림30대건수40대순위40대휴양림40대건수50대순위50대휴양림50대건수60대이상순위60대이상휴양림60대이상건수
2120221유명산 자연휴양림5111유명산 자연휴양림27321유명산 자연휴양림82841유명산 자연휴양림72861유명산 자연휴양림5447
2220222신시도자연휴양림4152신시도자연휴양림17662신시도자연휴양림48972산음 자연휴양림47762산음 자연휴양림3582
2320223산음 자연휴양림3662희리산 자연휴양림17663희리산 자연휴양림45113신시도자연휴양림36643신시도자연휴양림3543
2420224희리산 자연휴양림2754산음 자연휴양림14693산음 자연휴양림45114변산 자연휴양림31094변산 자연휴양림3120
2520225대관령 자연휴양림2585화천숲속 야영장14185변산 자연휴양림37285대관령 자연휴양림30925대관령 자연휴양림3090
2620231유명산 자연휴양림4471유명산 자연휴양림17931유명산 자연휴양림59801유명산 자연휴양림62331유명산 자연휴양림5004
2720232신시도자연휴양림4242신시도자연휴양림15042신시도자연휴양림44492산음 자연휴양림44422신시도자연휴양림3933
2820233산음 자연휴양림2973희리산 자연휴양림13413변산 자연휴양림37913신시도자연휴양림40933변산 자연휴양림3663
2920234용현 자연휴양림2534화천숲속 야영장11474희리산 자연휴양림37884변산 자연휴양림33874산음 자연휴양림3307
3020234변산 자연휴양림2535변산 자연휴양림10975산음 자연휴양림35125희리산 자연휴양림31165대관령 자연휴양림3221