Overview

Dataset statistics

Number of variables8
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory67.3 B

Variable types

Numeric1
Categorical6
Text1

Alerts

조사분야구분코드명 has constant value ""Constant
조사년도 has constant value ""Constant
종국명 is highly overall correlated with 종학명High correlation
종학명 is highly overall correlated with 종국명High correlation
조사시작일자 is highly overall correlated with 공간아이디 and 1 other fieldsHigh correlation
조사종료일자 is highly overall correlated with 공간아이디 and 1 other fieldsHigh correlation
공간아이디 is highly overall correlated with 조사시작일자 and 1 other fieldsHigh correlation
공간아이디 has unique valuesUnique

Reproduction

Analysis started2023-12-10 11:27:50.551529
Analysis finished2023-12-10 11:27:51.366462
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간아이디
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9 × 1015
Minimum9 × 1015
Maximum9 × 1015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:27:51.472189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9 × 1015
5-th percentile9 × 1015
Q19 × 1015
median9 × 1015
Q39 × 1015
95-th percentile9 × 1015
Maximum9 × 1015
Range144
Interquartile range (IQR)64

Descriptive statistics

Standard deviation40.671262
Coefficient of variation (CV)4.5190291 × 10-15
Kurtosis-1.009331
Mean9 × 1015
Median Absolute Deviation (MAD)32
Skewness0.26939392
Sum9 × 1017
Variance1654.1515
MonotonicityStrictly increasing
2023-12-10T20:27:51.694196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9000000000007698 1
 
1.0%
9000000000007784 1
 
1.0%
9000000000007797 1
 
1.0%
9000000000007796 1
 
1.0%
9000000000007795 1
 
1.0%
9000000000007792 1
 
1.0%
9000000000007791 1
 
1.0%
9000000000007790 1
 
1.0%
9000000000007789 1
 
1.0%
9000000000007788 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
9000000000007698 1
1.0%
9000000000007699 1
1.0%
9000000000007700 1
1.0%
9000000000007701 1
1.0%
9000000000007704 1
1.0%
9000000000007705 1
1.0%
9000000000007706 1
1.0%
9000000000007708 1
1.0%
9000000000007709 1
1.0%
9000000000007710 1
1.0%
ValueCountFrequency (%)
9000000000007842 1
1.0%
9000000000007841 1
1.0%
9000000000007839 1
1.0%
9000000000007836 1
1.0%
9000000000007833 1
1.0%
9000000000007832 1
1.0%
9000000000007831 1
1.0%
9000000000007829 1
1.0%
9000000000007828 1
1.0%
9000000000007827 1
1.0%

조사분야구분코드명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
포유류
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
포유류 100
100.0%

Length

2023-12-10T20:27:51.918617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:27:52.054137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포유류 100
100.0%

종국명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Meles meles Linnaeus
29 
멧돼지
18 
노루
16 
고라니
11 
멧토끼
8 
Other values (6)
18 

Length

Max length20
Median length3
Mean length7.75
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row노루
2nd row개
3rd row멧돼지
4th row청설모
5th rowMeles meles Linnaeus

Common Values

ValueCountFrequency (%)
Meles meles Linnaeus 29
29.0%
멧돼지 18
18.0%
노루 16
16.0%
고라니 11
 
11.0%
멧토끼 8
 
8.0%
너구리 5
 
5.0%
족제비 4
 
4.0%
청설모 3
 
3.0%
두더지 3
 
3.0%
다람쥐 2
 
2.0%

Length

2023-12-10T20:27:52.208750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
meles 58
36.7%
linnaeus 29
18.4%
멧돼지 18
 
11.4%
노루 16
 
10.1%
고라니 11
 
7.0%
멧토끼 8
 
5.1%
너구리 5
 
3.2%
족제비 4
 
2.5%
청설모 3
 
1.9%
두더지 3
 
1.9%
Other values (2) 3
 
1.9%

종학명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Meles meles Linnaeus
29 
Sus scrofa Linnaeus, 1758
18 
Capreolus pygargus (Pallas, 1771)
16 
Hydropotes inermis Swinhoe, 1870
11 
Lepus coreanus Thomas, 1892
8 
Other values (6)
18 

Length

Max length37
Median length32
Mean length26.9
Min length16

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowCapreolus pygargus (Pallas, 1771)
2nd rowCanis familialis
3rd rowSus scrofa Linnaeus, 1758
4th rowSciurus vulgaris Linnaeus, 1758
5th rowMeles meles Linnaeus

Common Values

ValueCountFrequency (%)
Meles meles Linnaeus 29
29.0%
Sus scrofa Linnaeus, 1758 18
18.0%
Capreolus pygargus (Pallas, 1771) 16
16.0%
Hydropotes inermis Swinhoe, 1870 11
 
11.0%
Lepus coreanus Thomas, 1892 8
 
8.0%
Nyctereutes procyonoides (Gray, 1834) 5
 
5.0%
Mustela sibirica Pallas, 1773 4
 
4.0%
Sciurus vulgaris Linnaeus, 1758 3
 
3.0%
Mogera wogura (Temminck, 1848) 3
 
3.0%
Tamias sibiricus (Laxmann, 1769) 2
 
2.0%

Length

2023-12-10T20:27:52.407823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
meles 58
15.7%
linnaeus 50
 
13.6%
1758 21
 
5.7%
pallas 20
 
5.4%
sus 18
 
4.9%
scrofa 18
 
4.9%
capreolus 16
 
4.3%
pygargus 16
 
4.3%
1771 16
 
4.3%
swinhoe 11
 
3.0%
Other values (26) 125
33.9%

조사시작일자
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2015-09-05
22 
2015-07-28
14 
2015-05-15
10 
2015-10-03
10 
2015-02-25
9 
Other values (10)
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row2015-02-24
2nd row2015-02-24
3rd row2015-02-24
4th row2015-02-24
5th row2015-02-25

Common Values

ValueCountFrequency (%)
2015-09-05 22
22.0%
2015-07-28 14
14.0%
2015-05-15 10
10.0%
2015-10-03 10
10.0%
2015-02-25 9
9.0%
2015-03-19 7
 
7.0%
2015-09-23 7
 
7.0%
2015-03-20 5
 
5.0%
2015-02-24 4
 
4.0%
2015-05-14 4
 
4.0%
Other values (5) 8
 
8.0%

Length

2023-12-10T20:27:52.594029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-09-05 22
22.0%
2015-07-28 14
14.0%
2015-05-15 10
10.0%
2015-10-03 10
10.0%
2015-02-25 9
9.0%
2015-03-19 7
 
7.0%
2015-09-23 7
 
7.0%
2015-03-20 5
 
5.0%
2015-02-24 4
 
4.0%
2015-05-14 4
 
4.0%
Other values (5) 8
 
8.0%

조사종료일자
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2015-09-05
22 
2015-07-28
14 
2015-05-15
10 
2015-10-03
10 
2015-02-25
9 
Other values (10)
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row2015-02-24
2nd row2015-02-24
3rd row2015-02-24
4th row2015-02-24
5th row2015-02-25

Common Values

ValueCountFrequency (%)
2015-09-05 22
22.0%
2015-07-28 14
14.0%
2015-05-15 10
10.0%
2015-10-03 10
10.0%
2015-02-25 9
9.0%
2015-03-19 7
 
7.0%
2015-09-23 7
 
7.0%
2015-03-20 5
 
5.0%
2015-02-24 4
 
4.0%
2015-05-14 4
 
4.0%
Other values (5) 8
 
8.0%

Length

2023-12-10T20:27:52.794324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-09-05 22
22.0%
2015-07-28 14
14.0%
2015-05-15 10
10.0%
2015-10-03 10
10.0%
2015-02-25 9
9.0%
2015-03-19 7
 
7.0%
2015-09-23 7
 
7.0%
2015-03-20 5
 
5.0%
2015-02-24 4
 
4.0%
2015-05-14 4
 
4.0%
Other values (5) 8
 
8.0%

지오메트리
Text

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:27:53.053378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length44
Mean length43.67
Min length41

Characters and Unicode

Total characters4367
Distinct characters19
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)86.0%

Sample

1st rowPOINT (309253.39230451634 471102.9196368247)
2nd rowPOINT (309261.0752895365 471103.01810324274)
3rd rowPOINT (309225.0759424219 471088.37322037946)
4th rowPOINT (309218.49162859307 471079.9638693127)
5th rowPOINT (317656.40315734077 467826.0564850768)
ValueCountFrequency (%)
point 100
33.3%
470212.74889452034 2
 
0.7%
297829.30758848845 2
 
0.7%
474147.8695377569 2
 
0.7%
294163.2606175224 2
 
0.7%
313909.36501288106 2
 
0.7%
470336.2696825797 2
 
0.7%
295276.53424144007 2
 
0.7%
478211.3618585422 2
 
0.7%
295228.2151569453 2
 
0.7%
Other values (177) 182
60.7%
2023-12-10T20:27:53.510720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 417
 
9.5%
7 362
 
8.3%
3 330
 
7.6%
2 321
 
7.4%
1 320
 
7.3%
5 313
 
7.2%
6 312
 
7.1%
9 309
 
7.1%
8 306
 
7.0%
0 277
 
6.3%
Other values (9) 1100
25.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3267
74.8%
Uppercase Letter 500
 
11.4%
Other Punctuation 200
 
4.6%
Space Separator 200
 
4.6%
Open Punctuation 100
 
2.3%
Close Punctuation 100
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 417
12.8%
7 362
11.1%
3 330
10.1%
2 321
9.8%
1 320
9.8%
5 313
9.6%
6 312
9.6%
9 309
9.5%
8 306
9.4%
0 277
8.5%
Uppercase Letter
ValueCountFrequency (%)
O 100
20.0%
T 100
20.0%
N 100
20.0%
I 100
20.0%
P 100
20.0%
Other Punctuation
ValueCountFrequency (%)
. 200
100.0%
Space Separator
ValueCountFrequency (%)
200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3867
88.6%
Latin 500
 
11.4%

Most frequent character per script

Common
ValueCountFrequency (%)
4 417
10.8%
7 362
9.4%
3 330
8.5%
2 321
8.3%
1 320
8.3%
5 313
8.1%
6 312
8.1%
9 309
8.0%
8 306
7.9%
0 277
7.2%
Other values (4) 600
15.5%
Latin
ValueCountFrequency (%)
O 100
20.0%
T 100
20.0%
N 100
20.0%
I 100
20.0%
P 100
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4367
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 417
 
9.5%
7 362
 
8.3%
3 330
 
7.6%
2 321
 
7.4%
1 320
 
7.3%
5 313
 
7.2%
6 312
 
7.1%
9 309
 
7.1%
8 306
 
7.0%
0 277
 
6.3%
Other values (9) 1100
25.2%

조사년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2015
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2015
4th row2015
5th row2015

Common Values

ValueCountFrequency (%)
2015 100
100.0%

Length

2023-12-10T20:27:53.716580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:27:53.845679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015 100
100.0%

Interactions

2023-12-10T20:27:50.925202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T20:27:53.946572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간아이디종국명종학명조사시작일자조사종료일자지오메트리
공간아이디1.0000.0000.0000.9440.9440.994
종국명0.0001.0001.0000.5410.5410.916
종학명0.0001.0001.0000.5410.5410.916
조사시작일자0.9440.5410.5411.0001.0001.000
조사종료일자0.9440.5410.5411.0001.0001.000
지오메트리0.9940.9160.9161.0001.0001.000
2023-12-10T20:27:54.107374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종국명종학명조사시작일자조사종료일자
종국명1.0001.0000.2330.233
종학명1.0001.0000.2330.233
조사시작일자0.2330.2331.0001.000
조사종료일자0.2330.2331.0001.000
2023-12-10T20:27:54.266689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간아이디종국명종학명조사시작일자조사종료일자
공간아이디1.0000.0000.0000.7040.704
종국명0.0001.0001.0000.2330.233
종학명0.0001.0001.0000.2330.233
조사시작일자0.7040.2330.2331.0001.000
조사종료일자0.7040.2330.2331.0001.000

Missing values

2023-12-10T20:27:51.122166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:27:51.295015image/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

공간아이디조사분야구분코드명종국명종학명조사시작일자조사종료일자지오메트리조사년도
09000000000007698포유류노루Capreolus pygargus (Pallas, 1771)2015-02-242015-02-24POINT (309253.39230451634 471102.9196368247)2015
19000000000007699포유류개Canis familialis2015-02-242015-02-24POINT (309261.0752895365 471103.01810324274)2015
29000000000007700포유류멧돼지Sus scrofa Linnaeus, 17582015-02-242015-02-24POINT (309225.0759424219 471088.37322037946)2015
39000000000007701포유류청설모Sciurus vulgaris Linnaeus, 17582015-02-242015-02-24POINT (309218.49162859307 471079.9638693127)2015
49000000000007704포유류Meles meles LinnaeusMeles meles Linnaeus2015-02-252015-02-25POINT (317656.40315734077 467826.0564850768)2015
59000000000007705포유류멧토끼Lepus coreanus Thomas, 18922015-02-252015-02-25POINT (317651.3077622086 467817.96957437333)2015
69000000000007706포유류멧토끼Lepus coreanus Thomas, 18922015-02-252015-02-25POINT (317650.5634254297 467817.95931315003)2015
79000000000007708포유류너구리Nyctereutes procyonoides (Gray, 1834)2015-02-252015-02-25POINT (317602.0049981283 467994.8954535654)2015
89000000000007709포유류고라니Hydropotes inermis Swinhoe, 18702015-02-252015-02-25POINT (310006.7695772489 467073.4438382305)2015
99000000000007710포유류노루Capreolus pygargus (Pallas, 1771)2015-02-252015-02-25POINT (310003.6229980607 467086.6610778884)2015
공간아이디조사분야구분코드명종국명종학명조사시작일자조사종료일자지오메트리조사년도
909000000000007827포유류멧돼지Sus scrofa Linnaeus, 17582015-10-032015-10-03POINT (314351.925864864 478019.71639314346)2015
919000000000007828포유류노루Capreolus pygargus (Pallas, 1771)2015-10-032015-10-03POINT (314445.38239331794 477879.11186239775)2015
929000000000007829포유류Meles meles LinnaeusMeles meles Linnaeus2015-10-032015-10-03POINT (314377.0130733966 477798.3807243748)2015
939000000000007831포유류Meles meles LinnaeusMeles meles Linnaeus2015-10-032015-10-03POINT (314251.87711717753 477549.3844918406)2015
949000000000007832포유류Meles meles LinnaeusMeles meles Linnaeus2015-10-032015-10-03POINT (313608.53922720155 476757.19926895853)2015
959000000000007833포유류Meles meles LinnaeusMeles meles Linnaeus2015-10-032015-10-03POINT (313467.068254841 476740.9922692948)2015
969000000000007836포유류Meles meles LinnaeusMeles meles Linnaeus2015-10-032015-10-03POINT (313060.18209867127 477418.68742799025)2015
979000000000007839포유류멧돼지Sus scrofa Linnaeus, 17582015-10-032015-10-03POINT (313909.36501288106 478211.3618585422)2015
989000000000007841포유류노루Capreolus pygargus (Pallas, 1771)2015-10-032015-10-03POINT (313909.36501288106 478211.3618585422)2015
999000000000007842포유류Meles meles LinnaeusMeles meles Linnaeus2015-10-032015-10-03POINT (314348.66536716593 477685.1112611674)2015