Overview

Dataset statistics

Number of variables14
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory125.0 B

Variable types

Categorical2
Text6
Numeric6

Alerts

집계년도 has constant value ""Constant
등록승인년도 is highly overall correlated with 보유종수High correlation
수목원규모(ha) is highly overall correlated with 수목원구분명High correlation
보유종수 is highly overall correlated with 등록승인년도High correlation
수목원소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 수목원소재지우편번호High correlation
수목원구분명 is highly overall correlated with 수목원규모(ha)High correlation
수목원명칭 has unique valuesUnique
수목원전화번호 has unique valuesUnique
보유종수 has unique valuesUnique
수목원소재지우편번호 has unique valuesUnique
수목원소재지지번주소 has unique valuesUnique
수목원소재지도로명주소 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique
보유종수 has 1 (4.5%) zerosZeros

Reproduction

Analysis started2023-12-10 22:14:36.659849
Analysis finished2023-12-10 22:14:40.469592
Duration3.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 22
100.0%

Length

2023-12-11T07:14:40.522985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:14:40.610915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 22
100.0%

시군명
Text

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T07:14:40.761269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0909091
Min length3

Characters and Unicode

Total characters68
Distinct characters24
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

Unique12 ?
Unique (%)54.5%

Sample

1st row가평군
2nd row경기도
3rd row경기도
4th row과천시
5th row광주시
ValueCountFrequency (%)
포천시 2
 
9.1%
경기도 2
 
9.1%
여주시 2
 
9.1%
광주시 2
 
9.1%
남양주시 2
 
9.1%
안양시 1
 
4.5%
가평군 1
 
4.5%
양평군 1
 
4.5%
파주시 1
 
4.5%
용인시 1
 
4.5%
Other values (7) 7
31.8%
2023-12-11T07:14:41.036226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 19
27.9%
주 8
11.8%
양 5
 
7.4%
천 5
 
7.4%
남 3
 
4.4%
포 2
 
2.9%
광 2
 
2.9%
평 2
 
2.9%
군 2
 
2.9%
성 2
 
2.9%
Other values (14) 18
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 19
27.9%
주 8
11.8%
양 5
 
7.4%
천 5
 
7.4%
남 3
 
4.4%
포 2
 
2.9%
광 2
 
2.9%
평 2
 
2.9%
군 2
 
2.9%
성 2
 
2.9%
Other values (14) 18
26.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 19
27.9%
주 8
11.8%
양 5
 
7.4%
천 5
 
7.4%
남 3
 
4.4%
포 2
 
2.9%
광 2
 
2.9%
평 2
 
2.9%
군 2
 
2.9%
성 2
 
2.9%
Other values (14) 18
26.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 19
27.9%
주 8
11.8%
양 5
 
7.4%
천 5
 
7.4%
남 3
 
4.4%
포 2
 
2.9%
광 2
 
2.9%
평 2
 
2.9%
군 2
 
2.9%
성 2
 
2.9%
Other values (14) 18
26.5%

수목원명칭
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T07:14:41.280753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.5
Min length5

Characters and Unicode

Total characters143
Distinct characters65
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

Unique22 ?
Unique (%)100.0%

Sample

1st row아침고요원예수목원
2nd row바다향기수목원
3rd row물향기수목원
4th row서울대공원식물원
5th row곤지암화담숲
ValueCountFrequency (%)
아침고요원예수목원 1
 
4.5%
바다향기수목원 1
 
4.5%
평강식물원 1
 
4.5%
국립수목원 1
 
4.5%
율곡수목원 1
 
4.5%
덕평공룡수목원 1
 
4.5%
한택식물원 1
 
4.5%
황학산수목원 1
 
4.5%
바이블랜드수목원 1
 
4.5%
들꽃식물원 1
 
4.5%
Other values (12) 12
54.5%
2023-12-11T07:14:41.632649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 24
 
16.8%
수 15
 
10.5%
목 15
 
10.5%
물 8
 
5.6%
식 6
 
4.2%
대 3
 
2.1%
평 2
 
1.4%
리 2
 
1.4%
꽃 2
 
1.4%
공 2
 
1.4%
Other values (55) 64
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 24
 
16.8%
수 15
 
10.5%
목 15
 
10.5%
물 8
 
5.6%
식 6
 
4.2%
대 3
 
2.1%
평 2
 
1.4%
리 2
 
1.4%
꽃 2
 
1.4%
공 2
 
1.4%
Other values (55) 64
44.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 24
 
16.8%
수 15
 
10.5%
목 15
 
10.5%
물 8
 
5.6%
식 6
 
4.2%
대 3
 
2.1%
평 2
 
1.4%
리 2
 
1.4%
꽃 2
 
1.4%
공 2
 
1.4%
Other values (55) 64
44.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 24
 
16.8%
수 15
 
10.5%
목 15
 
10.5%
물 8
 
5.6%
식 6
 
4.2%
대 3
 
2.1%
평 2
 
1.4%
리 2
 
1.4%
꽃 2
 
1.4%
공 2
 
1.4%
Other values (55) 64
44.8%

수목원전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T07:14:41.819388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.136364
Min length11

Characters and Unicode

Total characters267
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row031-1544-6703
2nd row031-8008-6972
3rd row031-378-1261
4th row02-500-7338
5th row031-8026-6666
ValueCountFrequency (%)
031-1544-6703 1
 
4.5%
031-8008-6972 1
 
4.5%
031-531-7751 1
 
4.5%
031-540-2000 1
 
4.5%
031-952-0624 1
 
4.5%
031-633-5029 1
 
4.5%
031-333-3558 1
 
4.5%
031-887-2741 1
 
4.5%
031-884-0661 1
 
4.5%
031-772-1800 1
 
4.5%
Other values (12) 12
54.5%
2023-12-11T07:14:42.166061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
18.7%
- 44
16.5%
3 42
15.7%
1 33
12.4%
6 18
 
6.7%
2 18
 
6.7%
7 16
 
6.0%
5 15
 
5.6%
8 12
 
4.5%
4 10
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 223
83.5%
Dash Punctuation 44
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
22.4%
3 42
18.8%
1 33
14.8%
6 18
 
8.1%
2 18
 
8.1%
7 16
 
7.2%
5 15
 
6.7%
8 12
 
5.4%
4 10
 
4.5%
9 9
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 267
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
18.7%
- 44
16.5%
3 42
15.7%
1 33
12.4%
6 18
 
6.7%
2 18
 
6.7%
7 16
 
6.0%
5 15
 
5.6%
8 12
 
4.5%
4 10
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 267
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
18.7%
- 44
16.5%
3 42
15.7%
1 33
12.4%
6 18
 
6.7%
2 18
 
6.7%
7 16
 
6.0%
5 15
 
5.6%
8 12
 
4.5%
4 10
 
3.7%

등록승인년도
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011
Minimum1999
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T07:14:42.290861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1999
5-th percentile2002.05
Q12005
median2011
Q32015
95-th percentile2021.95
Maximum2023
Range24
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.1247389
Coefficient of variation (CV)0.0035428836
Kurtosis-1.1068824
Mean2011
Median Absolute Deviation (MAD)6
Skewness0.1294804
Sum44242
Variance50.761905
MonotonicityNot monotonic
2023-12-11T07:14:42.404616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2015 3
13.6%
2011 3
13.6%
2005 2
 
9.1%
2013 2
 
9.1%
2003 2
 
9.1%
2022 1
 
4.5%
2006 1
 
4.5%
2020 1
 
4.5%
2018 1
 
4.5%
2004 1
 
4.5%
Other values (5) 5
22.7%
ValueCountFrequency (%)
1999 1
 
4.5%
2002 1
 
4.5%
2003 2
9.1%
2004 1
 
4.5%
2005 2
9.1%
2006 1
 
4.5%
2007 1
 
4.5%
2011 3
13.6%
2013 2
9.1%
2015 3
13.6%
ValueCountFrequency (%)
2023 1
 
4.5%
2022 1
 
4.5%
2021 1
 
4.5%
2020 1
 
4.5%
2018 1
 
4.5%
2015 3
13.6%
2013 2
9.1%
2011 3
13.6%
2007 1
 
4.5%
2006 1
 
4.5%

수목원구분명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
사립
11 
시립
5 
도립
2 
학교
2 
공립
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row사립
2nd row도립
3rd row도립
4th row시립
5th row사립

Common Values

ValueCountFrequency (%)
사립 11
50.0%
시립 5
22.7%
도립 2
 
9.1%
학교 2
 
9.1%
공립 1
 
4.5%
국립 1
 
4.5%

Length

2023-12-11T07:14:42.525581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:14:42.653355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 11
50.0%
시립 5
22.7%
도립 2
 
9.1%
학교 2
 
9.1%
공립 1
 
4.5%
국립 1
 
4.5%

대표자명
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T07:14:42.828068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.7272727
Min length3

Characters and Unicode

Total characters82
Distinct characters54
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row한상경
2nd row경기도
3rd row경기도
4th row서울대공원
5th row남상건
ValueCountFrequency (%)
경기도 2
 
8.3%
권종열 1
 
4.2%
김영자 1
 
4.2%
㈜여울 1
 
4.2%
법인 1
 
4.2%
농업회사 1
 
4.2%
산림청 1
 
4.2%
파주시 1
 
4.2%
안승우 1
 
4.2%
이택주 1
 
4.2%
Other values (13) 13
54.2%
2023-12-11T07:14:43.178468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5
 
6.1%
주 5
 
6.1%
경 3
 
3.7%
상 3
 
3.7%
울 3
 
3.7%
대 3
 
3.7%
장 3
 
3.7%
여 2
 
2.4%
기 2
 
2.4%
김 2
 
2.4%
Other values (44) 51
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79
96.3%
Space Separator 2
 
2.4%
Other Symbol 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5
 
6.3%
주 5
 
6.3%
경 3
 
3.8%
상 3
 
3.8%
울 3
 
3.8%
대 3
 
3.8%
장 3
 
3.8%
여 2
 
2.5%
기 2
 
2.5%
김 2
 
2.5%
Other values (42) 48
60.8%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80
97.6%
Common 2
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5
 
6.2%
주 5
 
6.2%
경 3
 
3.8%
상 3
 
3.8%
울 3
 
3.8%
대 3
 
3.8%
장 3
 
3.8%
여 2
 
2.5%
기 2
 
2.5%
김 2
 
2.5%
Other values (43) 49
61.3%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79
96.3%
ASCII 2
 
2.4%
None 1
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5
 
6.3%
주 5
 
6.3%
경 3
 
3.8%
상 3
 
3.8%
울 3
 
3.8%
대 3
 
3.8%
장 3
 
3.8%
여 2
 
2.5%
기 2
 
2.5%
김 2
 
2.5%
Other values (42) 48
60.8%
ASCII
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

수목원규모(ha)
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.81818
Minimum3
Maximum1501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T07:14:43.294095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.1
Q110.25
median18.5
Q337.75
95-th percentile1067.7
Maximum1501
Range1498
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation383.33867
Coefficient of variation (CV)2.7030291
Kurtosis9.2195643
Mean141.81818
Median Absolute Deviation (MAD)12
Skewness3.1666551
Sum3120
Variance146948.54
MonotonicityNot monotonic
2023-12-11T07:14:43.418725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11 3
 
13.6%
3 2
 
9.1%
34 2
 
9.1%
5 1
 
4.5%
8 1
 
4.5%
1118 1
 
4.5%
9 1
 
4.5%
56 1
 
4.5%
27 1
 
4.5%
39 1
 
4.5%
Other values (8) 8
36.4%
ValueCountFrequency (%)
3 2
9.1%
5 1
 
4.5%
8 1
 
4.5%
9 1
 
4.5%
10 1
 
4.5%
11 3
13.6%
12 1
 
4.5%
16 1
 
4.5%
21 1
 
4.5%
22 1
 
4.5%
ValueCountFrequency (%)
1501 1
4.5%
1118 1
4.5%
112 1
4.5%
57 1
4.5%
56 1
4.5%
39 1
4.5%
34 2
9.1%
27 1
4.5%
22 1
4.5%
21 1
4.5%

보유종수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2068.3182
Minimum0
Maximum9311
Zeros1
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T07:14:43.558658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1010.5
Q11117.25
median1252.5
Q31871
95-th percentile4736.6
Maximum9311
Range9311
Interquartile range (IQR)753.75

Descriptive statistics

Standard deviation2006.0524
Coefficient of variation (CV)0.96989543
Kurtosis7.7278295
Mean2068.3182
Median Absolute Deviation (MAD)208
Skewness2.571984
Sum45503
Variance4024246
MonotonicityNot monotonic
2023-12-11T07:14:43.681041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4775 1
 
4.5%
1276 1
 
4.5%
1154 1
 
4.5%
4007 1
 
4.5%
3344 1
 
4.5%
0 1
 
4.5%
1010 1
 
4.5%
9311 1
 
4.5%
1335 1
 
4.5%
1136 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
0 1
4.5%
1010 1
4.5%
1020 1
4.5%
1030 1
4.5%
1059 1
4.5%
1111 1
4.5%
1136 1
4.5%
1154 1
4.5%
1205 1
4.5%
1229 1
4.5%
ValueCountFrequency (%)
9311 1
4.5%
4775 1
4.5%
4007 1
4.5%
3952 1
4.5%
3344 1
4.5%
1888 1
4.5%
1820 1
4.5%
1336 1
4.5%
1335 1
4.5%
1276 1
4.5%

수목원소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13742.409
Minimum10809
Maximum18577
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T07:14:43.791272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10809
5-th percentile11107.15
Q112187
median12798.5
Q314862.25
95-th percentile18081.5
Maximum18577
Range7768
Interquartile range (IQR)2675.25

Descriptive statistics

Standard deviation2325.8771
Coefficient of variation (CV)0.16924813
Kurtosis-0.31712679
Mean13742.409
Median Absolute Deviation (MAD)1196
Skewness0.85923061
Sum302333
Variance5409704.1
MonotonicityNot monotonic
2023-12-11T07:14:43.925963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
12448 1
 
4.5%
11519 1
 
4.5%
18577 1
 
4.5%
11103 1
 
4.5%
11186 1
 
4.5%
10809 1
 
4.5%
17388 1
 
4.5%
17183 1
 
4.5%
12653 1
 
4.5%
12658 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
10809 1
4.5%
11103 1
4.5%
11186 1
4.5%
11519 1
4.5%
12028 1
4.5%
12100 1
4.5%
12448 1
4.5%
12545 1
4.5%
12653 1
4.5%
12658 1
4.5%
ValueCountFrequency (%)
18577 1
4.5%
18118 1
4.5%
17388 1
4.5%
17183 1
4.5%
15651 1
4.5%
14931 1
4.5%
14656 1
4.5%
13911 1
4.5%
13829 1
4.5%
13443 1
4.5%

수목원소재지지번주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T07:14:44.147927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length21.181818
Min length16

Characters and Unicode

Total characters466
Distinct characters91
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

Unique22 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 상면 행현리 623-3번지
2nd row경기도 안산시 단원구 선감동 8-5번지
3rd row경기도 오산시 수청동 332-4번지
4th row경기도 과천시 막계동 159-1번지
5th row경기도 광주시 도척면 도웅리 534번지
ValueCountFrequency (%)
경기도 22
 
21.4%
광주시 2
 
1.9%
여주시 2
 
1.9%
남양주시 2
 
1.9%
포천시 2
 
1.9%
407-1번지 1
 
1.0%
옥산리 1
 
1.0%
백암면 1
 
1.0%
처인구 1
 
1.0%
용인시 1
 
1.0%
Other values (68) 68
66.0%
2023-12-11T07:14:44.508374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
17.4%
도 24
 
5.2%
지 23
 
4.9%
경 22
 
4.7%
번 22
 
4.7%
기 22
 
4.7%
시 21
 
4.5%
1 19
 
4.1%
- 15
 
3.2%
동 13
 
2.8%
Other values (81) 204
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 293
62.9%
Space Separator 81
 
17.4%
Decimal Number 77
 
16.5%
Dash Punctuation 15
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 24
 
8.2%
지 23
 
7.8%
경 22
 
7.5%
번 22
 
7.5%
기 22
 
7.5%
시 21
 
7.2%
동 13
 
4.4%
리 11
 
3.8%
면 9
 
3.1%
산 9
 
3.1%
Other values (69) 117
39.9%
Decimal Number
ValueCountFrequency (%)
1 19
24.7%
3 12
15.6%
8 10
13.0%
2 8
10.4%
5 7
 
9.1%
7 7
 
9.1%
9 4
 
5.2%
0 4
 
5.2%
4 3
 
3.9%
6 3
 
3.9%
Space Separator
ValueCountFrequency (%)
81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 293
62.9%
Common 173
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 24
 
8.2%
지 23
 
7.8%
경 22
 
7.5%
번 22
 
7.5%
기 22
 
7.5%
시 21
 
7.2%
동 13
 
4.4%
리 11
 
3.8%
면 9
 
3.1%
산 9
 
3.1%
Other values (69) 117
39.9%
Common
ValueCountFrequency (%)
81
46.8%
1 19
 
11.0%
- 15
 
8.7%
3 12
 
6.9%
8 10
 
5.8%
2 8
 
4.6%
5 7
 
4.0%
7 7
 
4.0%
9 4
 
2.3%
0 4
 
2.3%
Other values (2) 6
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 293
62.9%
ASCII 173
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
46.8%
1 19
 
11.0%
- 15
 
8.7%
3 12
 
6.9%
8 10
 
5.8%
2 8
 
4.6%
5 7
 
4.0%
7 7
 
4.0%
9 4
 
2.3%
0 4
 
2.3%
Other values (2) 6
 
3.5%
Hangul
ValueCountFrequency (%)
도 24
 
8.2%
지 23
 
7.8%
경 22
 
7.5%
번 22
 
7.5%
기 22
 
7.5%
시 21
 
7.2%
동 13
 
4.4%
리 11
 
3.8%
면 9
 
3.1%
산 9
 
3.1%
Other values (69) 117
39.9%

수목원소재지도로명주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T07:14:44.777353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length20.045455
Min length14

Characters and Unicode

Total characters441
Distinct characters97
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

Unique22 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 상면 수목원로 432
2nd row경기도 안산시 단원구 대부황금로 399
3rd row경기도 오산시 청학로 211
4th row경기도 과천시 대공원광장로 102
5th row경기도 광주시 도척면 도척윗로 278
ValueCountFrequency (%)
경기도 22
 
21.4%
광주시 2
 
1.9%
여주시 2
 
1.9%
남양주시 2
 
1.9%
포천시 2
 
1.9%
61-97 1
 
1.0%
한택로 1
 
1.0%
백암면 1
 
1.0%
처인구 1
 
1.0%
용인시 1
 
1.0%
Other values (68) 68
66.0%
2023-12-11T07:14:45.173283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
18.4%
도 24
 
5.4%
기 23
 
5.2%
경 22
 
5.0%
시 21
 
4.8%
로 17
 
3.9%
1 14
 
3.2%
3 13
 
2.9%
7 11
 
2.5%
2 10
 
2.3%
Other values (87) 205
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 272
61.7%
Space Separator 81
 
18.4%
Decimal Number 80
 
18.1%
Dash Punctuation 7
 
1.6%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 24
 
8.8%
기 23
 
8.5%
경 22
 
8.1%
시 21
 
7.7%
로 17
 
6.2%
길 9
 
3.3%
면 9
 
3.3%
주 9
 
3.3%
원 7
 
2.6%
수 6
 
2.2%
Other values (74) 125
46.0%
Decimal Number
ValueCountFrequency (%)
1 14
17.5%
3 13
16.2%
7 11
13.8%
2 10
12.5%
9 7
8.8%
0 6
7.5%
4 6
7.5%
8 5
 
6.2%
6 5
 
6.2%
5 3
 
3.8%
Space Separator
ValueCountFrequency (%)
81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 272
61.7%
Common 169
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 24
 
8.8%
기 23
 
8.5%
경 22
 
8.1%
시 21
 
7.7%
로 17
 
6.2%
길 9
 
3.3%
면 9
 
3.3%
주 9
 
3.3%
원 7
 
2.6%
수 6
 
2.2%
Other values (74) 125
46.0%
Common
ValueCountFrequency (%)
81
47.9%
1 14
 
8.3%
3 13
 
7.7%
7 11
 
6.5%
2 10
 
5.9%
- 7
 
4.1%
9 7
 
4.1%
0 6
 
3.6%
4 6
 
3.6%
8 5
 
3.0%
Other values (3) 9
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 272
61.7%
ASCII 169
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
47.9%
1 14
 
8.3%
3 13
 
7.7%
7 11
 
6.5%
2 10
 
5.9%
- 7
 
4.1%
9 7
 
4.1%
0 6
 
3.6%
4 6
 
3.6%
8 5
 
3.0%
Other values (3) 9
 
5.3%
Hangul
ValueCountFrequency (%)
도 24
 
8.8%
기 23
 
8.5%
경 22
 
8.1%
시 21
 
7.7%
로 17
 
6.2%
길 9
 
3.3%
면 9
 
3.3%
주 9
 
3.3%
원 7
 
2.6%
수 6
 
2.2%
Other values (74) 125
46.0%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.46806
Minimum37.096344
Maximum38.050758
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T07:14:45.292635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.096344
5-th percentile37.117906
Q137.24278
median37.422498
Q337.691846
95-th percentile37.891001
Maximum38.050758
Range0.9544132
Interquartile range (IQR)0.44906641

Descriptive statistics

Standard deviation0.26269403
Coefficient of variation (CV)0.0070111457
Kurtosis-0.45965857
Mean37.46806
Median Absolute Deviation (MAD)0.20050223
Skewness0.53774582
Sum824.29732
Variance0.069008153
MonotonicityNot monotonic
2023-12-11T07:14:45.418751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
37.7439356 1
 
4.5%
37.7439284 1
 
4.5%
37.1153673 1
 
4.5%
38.0507576 1
 
4.5%
37.7520407 1
 
4.5%
37.89831468 1
 
4.5%
37.230883 1
 
4.5%
37.0963444 1
 
4.5%
37.2784707 1
 
4.5%
37.2204189 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
37.0963444 1
4.5%
37.1153673 1
4.5%
37.1661425 1
4.5%
37.2204189 1
4.5%
37.22357254 1
4.5%
37.230883 1
4.5%
37.2784707 1
4.5%
37.3401531 1
4.5%
37.37938245 1
4.5%
37.4159435 1
4.5%
ValueCountFrequency (%)
38.0507576 1
4.5%
37.89831468 1
4.5%
37.7520407 1
4.5%
37.7439356 1
4.5%
37.7439284 1
4.5%
37.70544345 1
4.5%
37.651055 1
4.5%
37.5051241 1
4.5%
37.5015506 1
4.5%
37.4335001 1
4.5%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.14875
Minimum126.64277
Maximum127.64942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T07:14:45.529038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.64277
5-th percentile126.81607
Q1126.93579
median127.13495
Q3127.32872
95-th percentile127.63681
Maximum127.64942
Range1.0066545
Interquartile range (IQR)0.39292825

Descriptive statistics

Standard deviation0.27410649
Coefficient of variation (CV)0.0021557939
Kurtosis-0.64945477
Mean127.14875
Median Absolute Deviation (MAD)0.20310625
Skewness0.1234707
Sum2797.2724
Variance0.075134365
MonotonicityNot monotonic
2023-12-11T07:14:45.650849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
127.3524571 1
 
4.5%
126.9497154 1
 
4.5%
126.8838877 1
 
4.5%
127.3027909 1
 
4.5%
127.168526 1
 
4.5%
126.8228648 1
 
4.5%
127.3373639 1
 
4.5%
127.4027439 1
 
4.5%
127.6494198 1
 
4.5%
127.6455176 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
126.6427653 1
4.5%
126.8157085 1
4.5%
126.8228648 1
4.5%
126.8262142 1
4.5%
126.8838877 1
4.5%
126.9311514 1
4.5%
126.9497154 1
4.5%
127.0235491 1
4.5%
127.0596379 1
4.5%
127.0810469 1
4.5%
ValueCountFrequency (%)
127.6494198 1
4.5%
127.6455176 1
4.5%
127.471312 1
4.5%
127.4027439 1
4.5%
127.3524571 1
4.5%
127.3373639 1
4.5%
127.3027909 1
4.5%
127.2916932 1
4.5%
127.2903491 1
4.5%
127.2223156 1
4.5%

Interactions

2023-12-11T07:14:39.425138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:37.094531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:37.544599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:38.027217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:38.427645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:38.947181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:39.514748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:37.160881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:37.615083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:38.090022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:38.512860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:39.017086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:39.599908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:37.243212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:37.699934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:38.160435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:38.593295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:39.093352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:39.667388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:37.322855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:37.770307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:38.221558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:38.667912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:39.168501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:39.767371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:37.408867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:37.867440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:38.298269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:38.765402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:39.258342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:39.842612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:37.477034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:37.945887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:38.360109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:38.853668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:39.338533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:14:45.753098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명수목원명칭수목원전화번호등록승인년도수목원구분명대표자명수목원규모(ha)보유종수수목원소재지우편번호수목원소재지지번주소수목원소재지도로명주소WGS84위도WGS84경도
시군명1.0001.0001.0000.0000.5621.0000.3380.4240.9551.0001.0000.8430.853
수목원명칭1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
수목원전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
등록승인년도0.0001.0001.0001.0000.4370.9500.0000.0000.4011.0001.0000.0000.633
수목원구분명0.5621.0001.0000.4371.0001.0000.9770.5280.7251.0001.0000.0000.186
대표자명1.0001.0001.0000.9501.0001.0001.0000.3740.3041.0001.0000.9510.784
수목원규모(ha)0.3381.0001.0000.0000.9771.0001.0000.6660.0001.0001.0000.0000.485
보유종수0.4241.0001.0000.0000.5280.3740.6661.0000.0001.0001.0000.6250.159
수목원소재지우편번호0.9551.0001.0000.4010.7250.3040.0000.0001.0001.0001.0000.7290.447
수목원소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
수목원소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
WGS84위도0.8431.0001.0000.0000.0000.9510.0000.6250.7291.0001.0001.0000.000
WGS84경도0.8531.0001.0000.6330.1860.7840.4850.1590.4471.0001.0000.0001.000
2023-12-11T07:14:45.925134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록승인년도수목원규모(ha)보유종수수목원소재지우편번호WGS84위도WGS84경도수목원구분명
등록승인년도1.000-0.084-0.6790.017-0.129-0.2280.384
수목원규모(ha)-0.0841.0000.0960.164-0.273-0.1470.743
보유종수-0.6790.0961.000-0.0980.0530.4110.315
수목원소재지우편번호0.0170.164-0.0981.000-0.834-0.2340.362
WGS84위도-0.129-0.2730.053-0.8341.000-0.1070.000
WGS84경도-0.228-0.1470.411-0.234-0.1071.0000.000
수목원구분명0.3840.7430.3150.3620.0000.0001.000

Missing values

2023-12-11T07:14:40.234332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:14:40.403470image/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

집계년도시군명수목원명칭수목원전화번호등록승인년도수목원구분명대표자명수목원규모(ha)보유종수수목원소재지우편번호수목원소재지지번주소수목원소재지도로명주소WGS84위도WGS84경도
02023가평군아침고요원예수목원031-1544-67032005사립한상경10477512448경기도 가평군 상면 행현리 623-3번지경기도 가평군 상면 수목원로 43237.743936127.352457
12023경기도바다향기수목원031-8008-69722022도립경기도112124315651경기도 안산시 단원구 선감동 8-5번지경기도 안산시 단원구 대부황금로 39937.223573126.642765
22023경기도물향기수목원031-378-12612006도립경기도34188818118경기도 오산시 수청동 332-4번지경기도 오산시 청학로 21137.166142127.059638
32023과천시서울대공원식물원02-500-73382015시립서울대공원22126213829경기도 과천시 막계동 159-1번지경기도 과천시 대공원광장로 10237.425973127.023549
42023광주시곤지암화담숲031-8026-66662011사립남상건16395212809경기도 광주시 도척면 도웅리 534번지경기도 광주시 도척면 도척윗로 27837.340153127.291693
52023광주시상림수목원031-762-91552020사립장관선11105912788경기도 광주시 태전동 71번지경기도 광주시 태성로 130-4337.379382127.222316
62023남양주시산들소리수목원031-574-32522015사립장주열12103012100경기도 남양주시 별내동 785-1번지경기도 남양주시 불암산로59번길 48-3137.651055127.101377
72023남양주시물맑음수목원031-5902-40752018공립남양주시장11120512028경기도 남양주시 수동면 지둔리 산129번지경기도 남양주시 수동면 지둔로307번길 47-437.705443127.290349
82023부천시부천무릉도원수목원032-320-30002013시립부천시21122914656경기도 부천시 춘의동 381번지경기도 부천시 길주로 66037.505124126.815708
92023성남시신구대학교식물원031-724-16002004학교신구대학교57133613443경기도 성남시 수정구 상적동 산123-1번지경기도 성남시 수정구 적푸리로 937.4335127.081047
집계년도시군명수목원명칭수목원전화번호등록승인년도수목원구분명대표자명수목원규모(ha)보유종수수목원소재지우편번호수목원소재지지번주소수목원소재지도로명주소WGS84위도WGS84경도
122023양주시양주자생수목원031-826-09332007사립김영자3127611519경기도 양주시 장흥면 석현리 330-9번지경기도 양주시 장흥면 권율로309번길 167-3537.743928126.949715
132023양평군들꽃식물원031-772-18002003사립정일모5182012545경기도 양평군 양평읍 오빈리 210-37번지경기도 양평군 양평읍 수목원길 1637.501551127.471312
142023여주시바이블랜드수목원031-884-06612023사립권종열39113612658경기도 여주시 하거동 407-1번지경기도 여주시 하거3길 61-9737.220419127.645518
152023여주시황학산수목원031-887-27412011시립여주시27133512653경기도 여주시 매룡동 282번지경기도 여주시 황학산수목원길 7337.278471127.64942
162023용인시한택식물원031-333-35582002사립이택주56931117183경기도 용인시 처인구 백암면 옥산리 365번지경기도 용인시 처인구 백암면 한택로 237.096344127.402744
172023이천시덕평공룡수목원031-633-50292015사립안승우9101017388경기도 이천시 마장면 작촌리 산58-1번지경기도 이천시 마장면 작촌로 28237.230883127.337364
182023파주시율곡수목원031-952-06242021시립파주시34010809경기도 파주시 파평면 율곡리 87-3번지경기도 파주시 파평면 장승배기로 39237.898315126.822865
192023포천시국립수목원031-540-20001999국립산림청1118334411186경기도 포천시 소흘읍 직동리 산50-18번지경기도 포천시 소흘읍 광릉수목원로 41537.752041127.168526
202023포천시평강식물원031-531-77512005사립농업회사 법인 ㈜여울8400711103경기도 포천시 영북면 산정리 728번지경기도 포천시 영북면 우물목길 171-1838.050758127.302791
212023화성시우리꽃식물원031-369-61632011시립화성시11115418577경기도 화성시 팔탄면 매곡리 179-18번지경기도 화성시 팔탄면 3.1만세로 777-1737.115367126.883888