Overview

Dataset statistics

Number of variables8
Number of observations43
Missing cells9
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory70.1 B

Variable types

Categorical1
Text4
Numeric3

Dataset

Description동물원ㆍ수족관 외 야생동물 전시 시설
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=SRE2JC6KOE6K4UIQX6I634619119&infSeq=1

Alerts

정제우편번호 is highly overall correlated with 정제WGS84위도 and 1 other fieldsHigh correlation
정제WGS84경도 is highly overall correlated with 시군명High correlation
정제WGS84위도 is highly overall correlated with 정제우편번호 and 1 other fieldsHigh correlation
시군명 is highly overall correlated with 정제우편번호 and 2 other fieldsHigh correlation
정제도로명주소 has 5 (11.6%) missing valuesMissing
정제우편번호 has 2 (4.7%) missing valuesMissing
정제WGS84경도 has 1 (2.3%) missing valuesMissing
정제WGS84위도 has 1 (2.3%) missing valuesMissing
상호명 has unique valuesUnique
정제지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-22 21:53:14.664592
Analysis finished2023-12-22 21:53:27.505764
Duration12.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Memory size476.0 B
파주시
6 
화성시
4 
수원시
4 
시흥시
4 
용인시
3 
Other values (14)
22 

Length

Max length4
Median length3
Mean length3.0697674
Min length3

Unique

Unique7 ?
Unique (%)16.3%

Sample

1st row고양시
2nd row고양시
3rd row구리시
4th row군포시
5th row김포시

Common Values

ValueCountFrequency (%)
파주시 6
14.0%
화성시 4
 
9.3%
수원시 4
 
9.3%
시흥시 4
 
9.3%
용인시 3
 
7.0%
양평군 3
 
7.0%
여주시 2
 
4.7%
의정부시 2
 
4.7%
부천시 2
 
4.7%
안산시 2
 
4.7%
Other values (9) 11
25.6%

Length

2023-12-22T21:53:27.737267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
파주시 6
14.0%
화성시 4
 
9.3%
수원시 4
 
9.3%
시흥시 4
 
9.3%
용인시 3
 
7.0%
양평군 3
 
7.0%
고양시 2
 
4.7%
오산시 2
 
4.7%
안산시 2
 
4.7%
부천시 2
 
4.7%
Other values (9) 11
25.6%

상호명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-22T21:53:28.956230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length7.9069767
Min length2

Characters and Unicode

Total characters340
Distinct characters149
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row찬우물버섯농장(아기동물원)
2nd row수피아엔터테인먼트
3rd row파차
4th row옥탑방거북이
5th row미어캣인더시티
ValueCountFrequency (%)
주식회사 4
 
7.0%
댕댕냥냥 2
 
3.5%
찬우물버섯농장(아기동물원 1
 
1.8%
쥬니멀 1
 
1.8%
농업회사법인 1
 
1.8%
퍼스트가든 1
 
1.8%
특별한하루 1
 
1.8%
우농타조농장 1
 
1.8%
재)서울호서직업문학교 1
 
1.8%
파주제2캠퍼스 1
 
1.8%
Other values (43) 43
75.4%
2023-12-22T21:53:31.529692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
4.1%
물 9
 
2.6%
아 9
 
2.6%
동 9
 
2.6%
주 8
 
2.4%
농 8
 
2.4%
이 7
 
2.1%
( 7
 
2.1%
) 7
 
2.1%
식 5
 
1.5%
Other values (139) 257
75.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
90.3%
Space Separator 14
 
4.1%
Open Punctuation 7
 
2.1%
Close Punctuation 7
 
2.1%
Other Symbol 2
 
0.6%
Decimal Number 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 9
 
2.9%
아 9
 
2.9%
동 9
 
2.9%
주 8
 
2.6%
농 8
 
2.6%
이 7
 
2.3%
식 5
 
1.6%
회 5
 
1.6%
사 5
 
1.6%
스 5
 
1.6%
Other values (132) 237
77.2%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
% 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
90.9%
Common 31
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 9
 
2.9%
아 9
 
2.9%
동 9
 
2.9%
주 8
 
2.6%
농 8
 
2.6%
이 7
 
2.3%
식 5
 
1.6%
회 5
 
1.6%
사 5
 
1.6%
스 5
 
1.6%
Other values (133) 239
77.3%
Common
ValueCountFrequency (%)
14
45.2%
( 7
22.6%
) 7
22.6%
2 1
 
3.2%
1 1
 
3.2%
% 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
90.3%
ASCII 31
 
9.1%
None 2
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
45.2%
( 7
22.6%
) 7
22.6%
2 1
 
3.2%
1 1
 
3.2%
% 1
 
3.2%
Hangul
ValueCountFrequency (%)
물 9
 
2.9%
아 9
 
2.9%
동 9
 
2.9%
주 8
 
2.6%
농 8
 
2.6%
이 7
 
2.3%
식 5
 
1.6%
회 5
 
1.6%
사 5
 
1.6%
스 5
 
1.6%
Other values (132) 237
77.2%
None
ValueCountFrequency (%)
㈜ 2
100.0%

야생동물종류
Text

Distinct35
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-22T21:53:32.538840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.5116279
Min length6

Characters and Unicode

Total characters280
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)65.1%

Sample

1st row2종 4개체
2nd row7종 7개체
3rd row1종 5개체
4th row9종 49개체
5th row8종 19개체
ValueCountFrequency (%)
1종 11
 
12.8%
3종 7
 
8.1%
2종 6
 
7.0%
4종 5
 
5.8%
8종 4
 
4.7%
17개체 4
 
4.7%
4개체 4
 
4.7%
8개체 4
 
4.7%
9종 4
 
4.7%
2개체 3
 
3.5%
Other values (22) 34
39.5%
2023-12-22T21:53:34.544864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
종 43
15.4%
43
15.4%
개 43
15.4%
체 43
15.4%
1 27
9.6%
2 16
 
5.7%
4 12
 
4.3%
8 11
 
3.9%
3 11
 
3.9%
7 9
 
3.2%
Other values (4) 22
7.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129
46.1%
Decimal Number 108
38.6%
Space Separator 43
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 27
25.0%
2 16
14.8%
4 12
11.1%
8 11
10.2%
3 11
10.2%
7 9
 
8.3%
9 8
 
7.4%
5 6
 
5.6%
6 4
 
3.7%
0 4
 
3.7%
Other Letter
ValueCountFrequency (%)
종 43
33.3%
개 43
33.3%
체 43
33.3%
Space Separator
ValueCountFrequency (%)
43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 151
53.9%
Hangul 129
46.1%

Most frequent character per script

Common
ValueCountFrequency (%)
43
28.5%
1 27
17.9%
2 16
 
10.6%
4 12
 
7.9%
8 11
 
7.3%
3 11
 
7.3%
7 9
 
6.0%
9 8
 
5.3%
5 6
 
4.0%
6 4
 
2.6%
Hangul
ValueCountFrequency (%)
종 43
33.3%
개 43
33.3%
체 43
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 151
53.9%
Hangul 129
46.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
종 43
33.3%
개 43
33.3%
체 43
33.3%
ASCII
ValueCountFrequency (%)
43
28.5%
1 27
17.9%
2 16
 
10.6%
4 12
 
7.9%
8 11
 
7.3%
3 11
 
7.3%
7 9
 
6.0%
9 8
 
5.3%
5 6
 
4.0%
6 4
 
2.6%

정제지번주소
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-22T21:53:36.751182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length25.465116
Min length15

Characters and Unicode

Total characters1095
Distinct characters136
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 일산동구 식사동 468 외 2필지
2nd row경기도 고양시 일산동구 백석동 1413-6, 지하1층
3rd row경기도 구리시 사노동 60-4번지
4th row경기도 군포시 산본동 963-126번지 3층
5th row경기도 김포시 구래동 6883-15, 6층 602호
ValueCountFrequency (%)
경기도 43
 
18.2%
파주시 6
 
2.5%
3층 5
 
2.1%
수원시 4
 
1.7%
화성시 4
 
1.7%
시흥시 4
 
1.7%
용인시 3
 
1.3%
양평군 3
 
1.3%
지하1층 2
 
0.8%
의정부동 2
 
0.8%
Other values (146) 160
67.8%
2023-12-22T21:53:39.655474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
 
17.6%
1 54
 
4.9%
시 45
 
4.1%
도 44
 
4.0%
기 44
 
4.0%
경 43
 
3.9%
지 40
 
3.7%
동 38
 
3.5%
번 33
 
3.0%
2 33
 
3.0%
Other values (126) 528
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 641
58.5%
Decimal Number 226
 
20.6%
Space Separator 193
 
17.6%
Dash Punctuation 30
 
2.7%
Other Punctuation 3
 
0.3%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 45
 
7.0%
도 44
 
6.9%
기 44
 
6.9%
경 43
 
6.7%
지 40
 
6.2%
동 38
 
5.9%
번 33
 
5.1%
구 15
 
2.3%
양 14
 
2.2%
리 13
 
2.0%
Other values (112) 312
48.7%
Decimal Number
ValueCountFrequency (%)
1 54
23.9%
2 33
14.6%
3 21
 
9.3%
0 20
 
8.8%
4 20
 
8.8%
8 18
 
8.0%
5 18
 
8.0%
6 16
 
7.1%
9 14
 
6.2%
7 12
 
5.3%
Space Separator
ValueCountFrequency (%)
193
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 641
58.5%
Common 452
41.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 45
 
7.0%
도 44
 
6.9%
기 44
 
6.9%
경 43
 
6.7%
지 40
 
6.2%
동 38
 
5.9%
번 33
 
5.1%
구 15
 
2.3%
양 14
 
2.2%
리 13
 
2.0%
Other values (112) 312
48.7%
Common
ValueCountFrequency (%)
193
42.7%
1 54
 
11.9%
2 33
 
7.3%
- 30
 
6.6%
3 21
 
4.6%
0 20
 
4.4%
4 20
 
4.4%
8 18
 
4.0%
5 18
 
4.0%
6 16
 
3.5%
Other values (3) 29
 
6.4%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 641
58.5%
ASCII 454
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
42.5%
1 54
 
11.9%
2 33
 
7.3%
- 30
 
6.6%
3 21
 
4.6%
0 20
 
4.4%
4 20
 
4.4%
8 18
 
4.0%
5 18
 
4.0%
6 16
 
3.5%
Other values (4) 31
 
6.8%
Hangul
ValueCountFrequency (%)
시 45
 
7.0%
도 44
 
6.9%
기 44
 
6.9%
경 43
 
6.7%
지 40
 
6.2%
동 38
 
5.9%
번 33
 
5.1%
구 15
 
2.3%
양 14
 
2.2%
리 13
 
2.0%
Other values (112) 312
48.7%

정제도로명주소
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing5
Missing (%)11.6%
Memory size476.0 B
2023-12-22T21:53:40.846137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length19.763158
Min length15

Characters and Unicode

Total characters751
Distinct characters110
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

Unique38 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 일산동구 강촌로26번길 7-4
2nd row경기도 구리시 동구릉로460번길 96-30
3rd row경기도 군포시 금산로106번길 29
4th row경기도 김포시 김포한강9로76번길 41
5th row경기도 남양주시 별내2로 64
ValueCountFrequency (%)
경기도 38
 
21.8%
파주시 5
 
2.9%
화성시 4
 
2.3%
수원시 4
 
2.3%
시흥시 3
 
1.7%
양평군 3
 
1.7%
용인시 3
 
1.7%
44 2
 
1.1%
파평면 2
 
1.1%
안산시 2
 
1.1%
Other values (101) 108
62.1%
2023-12-22T21:53:42.680026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
 
18.1%
기 41
 
5.5%
경 39
 
5.2%
도 38
 
5.1%
시 38
 
5.1%
로 28
 
3.7%
3 25
 
3.3%
길 24
 
3.2%
2 19
 
2.5%
9 17
 
2.3%
Other values (100) 346
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 467
62.2%
Decimal Number 138
 
18.4%
Space Separator 136
 
18.1%
Dash Punctuation 10
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 41
 
8.8%
경 39
 
8.4%
도 38
 
8.1%
시 38
 
8.1%
로 28
 
6.0%
길 24
 
5.1%
구 13
 
2.8%
번 13
 
2.8%
양 11
 
2.4%
평 9
 
1.9%
Other values (88) 213
45.6%
Decimal Number
ValueCountFrequency (%)
3 25
18.1%
2 19
13.8%
9 17
12.3%
1 16
11.6%
4 16
11.6%
6 14
10.1%
0 12
8.7%
5 10
 
7.2%
7 5
 
3.6%
8 4
 
2.9%
Space Separator
ValueCountFrequency (%)
136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
62.2%
Common 284
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 41
 
8.8%
경 39
 
8.4%
도 38
 
8.1%
시 38
 
8.1%
로 28
 
6.0%
길 24
 
5.1%
구 13
 
2.8%
번 13
 
2.8%
양 11
 
2.4%
평 9
 
1.9%
Other values (88) 213
45.6%
Common
ValueCountFrequency (%)
136
47.9%
3 25
 
8.8%
2 19
 
6.7%
9 17
 
6.0%
1 16
 
5.6%
4 16
 
5.6%
6 14
 
4.9%
0 12
 
4.2%
5 10
 
3.5%
- 10
 
3.5%
Other values (2) 9
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
62.2%
ASCII 284
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
47.9%
3 25
 
8.8%
2 19
 
6.7%
9 17
 
6.0%
1 16
 
5.6%
4 16
 
5.6%
6 14
 
4.9%
0 12
 
4.2%
5 10
 
3.5%
- 10
 
3.5%
Other values (2) 9
 
3.2%
Hangul
ValueCountFrequency (%)
기 41
 
8.8%
경 39
 
8.4%
도 38
 
8.1%
시 38
 
8.1%
로 28
 
6.0%
길 24
 
5.1%
구 13
 
2.8%
번 13
 
2.8%
양 11
 
2.4%
평 9
 
1.9%
Other values (88) 213
45.6%

정제우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct38
Distinct (%)92.7%
Missing2
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean14412.805
Minimum10071
Maximum18632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-22T21:53:43.591528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10071
5-th percentile10424
Q111906
median14922
Q316693
95-th percentile18487
Maximum18632
Range8561
Interquartile range (IQR)4787

Descriptive statistics

Standard deviation2782.3005
Coefficient of variation (CV)0.19304365
Kurtosis-1.3843703
Mean14412.805
Median Absolute Deviation (MAD)2338
Skewness-0.023521992
Sum590925
Variance7741196.1
MonotonicityNot monotonic
2023-12-22T21:53:44.403028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
11692 2
 
4.7%
10809 2
 
4.7%
18112 2
 
4.7%
15630 1
 
2.3%
10911 1
 
2.3%
10859 1
 
2.3%
10883 1
 
2.3%
18487 1
 
2.3%
18474 1
 
2.3%
12585 1
 
2.3%
Other values (28) 28
65.1%
(Missing) 2
 
4.7%
ValueCountFrequency (%)
10071 1
2.3%
10299 1
2.3%
10424 1
2.3%
10809 2
4.7%
10859 1
2.3%
10883 1
2.3%
10911 1
2.3%
11692 2
4.7%
11906 1
2.3%
12113 1
2.3%
ValueCountFrequency (%)
18632 1
2.3%
18569 1
2.3%
18487 1
2.3%
18474 1
2.3%
18112 2
4.7%
17734 1
2.3%
17167 1
2.3%
17086 1
2.3%
16802 1
2.3%
16693 1
2.3%

정제WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct42
Distinct (%)100.0%
Missing1
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean126.99294
Minimum126.62724
Maximum127.653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-22T21:53:45.197880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.62724
5-th percentile126.7147
Q1126.78778
median126.96823
Q3127.10868
95-th percentile127.45578
Maximum127.653
Range1.025756
Interquartile range (IQR)0.32089959

Descriptive statistics

Standard deviation0.23861805
Coefficient of variation (CV)0.0018789868
Kurtosis0.64913348
Mean126.99294
Median Absolute Deviation (MAD)0.16118255
Skewness0.91253546
Sum5333.7033
Variance0.056938572
MonotonicityNot monotonic
2023-12-22T21:53:46.372151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
126.8179851111 1
 
2.3%
127.4625941971 1
 
2.3%
126.7949722484 1
 
2.3%
126.6952366464 1
 
2.3%
126.7135614141 1
 
2.3%
127.09195813 1
 
2.3%
127.1245859033 1
 
2.3%
126.8542768503 1
 
2.3%
126.7851123877 1
 
2.3%
127.3142787536 1
 
2.3%
Other values (32) 32
74.4%
ValueCountFrequency (%)
126.6272428195 1
2.3%
126.6952366464 1
2.3%
126.7135614141 1
2.3%
126.7362898077 1
2.3%
126.7473418202 1
2.3%
126.7566905848 1
2.3%
126.7639501501 1
2.3%
126.7796354328 1
2.3%
126.7812754443 1
2.3%
126.7851123877 1
2.3%
ValueCountFrequency (%)
127.6529987733 1
2.3%
127.5742636772 1
2.3%
127.4625941971 1
2.3%
127.3263590586 1
2.3%
127.3142787536 1
2.3%
127.3021212249 1
2.3%
127.1528247554 1
2.3%
127.144718857 1
2.3%
127.1248582802 1
2.3%
127.1245859033 1
2.3%

정제WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct42
Distinct (%)100.0%
Missing1
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean37.43431
Minimum37.062217
Maximum37.892235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-22T21:53:47.315658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.062217
5-th percentile37.083059
Q137.261534
median37.406865
Q337.642529
95-th percentile37.787289
Maximum37.892235
Range0.83001863
Interquartile range (IQR)0.38099444

Descriptive statistics

Standard deviation0.22581997
Coefficient of variation (CV)0.006032433
Kurtosis-0.81088915
Mean37.43431
Median Absolute Deviation (MAD)0.17258555
Skewness0.29197456
Sum1572.241
Variance0.050994658
MonotonicityNot monotonic
2023-12-22T21:53:48.065317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
37.6685742251 1
 
2.3%
37.5069046159 1
 
2.3%
37.7326449668 1
 
2.3%
37.7896536698 1
 
2.3%
37.7054691341 1
 
2.3%
37.1805986573 1
 
2.3%
37.2028361051 1
 
2.3%
37.2837967658 1
 
2.3%
37.323312263 1
 
2.3%
37.5361849996 1
 
2.3%
Other values (32) 32
74.4%
ValueCountFrequency (%)
37.0622167142 1
2.3%
37.0644424192 1
2.3%
37.0779797094 1
2.3%
37.1795585446 1
2.3%
37.1805986573 1
2.3%
37.1846589689 1
2.3%
37.1846948962 1
2.3%
37.2028361051 1
2.3%
37.2234180272 1
2.3%
37.2451399847 1
2.3%
ValueCountFrequency (%)
37.8922353455 1
2.3%
37.8861268965 1
2.3%
37.7896536698 1
2.3%
37.7423515782 1
2.3%
37.7415899363 1
2.3%
37.7326449668 1
2.3%
37.7054691341 1
2.3%
37.6685742251 1
2.3%
37.6464477302 1
2.3%
37.6463860953 1
2.3%

Interactions

2023-12-22T21:53:23.828574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:53:21.441887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:53:22.552560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:53:24.259080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:53:21.872137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:53:22.917158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:53:24.780293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:53:22.220032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:53:23.337630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-22T21:53:48.480716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명상호명야생동물종류정제지번주소정제도로명주소정제우편번호정제WGS84경도정제WGS84위도
시군명1.0001.0000.8861.0001.0000.9930.8970.943
상호명1.0001.0001.0001.0001.0001.0001.0001.000
야생동물종류0.8861.0001.0001.0001.0000.7620.0000.782
정제지번주소1.0001.0001.0001.0001.0001.0001.0001.000
정제도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
정제우편번호0.9931.0000.7621.0001.0001.0000.7650.781
정제WGS84경도0.8971.0000.0001.0001.0000.7651.0000.743
정제WGS84위도0.9431.0000.7821.0001.0000.7810.7431.000
2023-12-22T21:53:49.028685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정제우편번호정제WGS84경도정제WGS84위도시군명
정제우편번호1.0000.276-0.9550.814
정제WGS84경도0.2761.000-0.2470.522
정제WGS84위도-0.955-0.2471.0000.622
시군명0.8140.5220.6221.000

Missing values

2023-12-22T21:53:25.438674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-22T21:53:26.573114image/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.
2023-12-22T21:53:27.150956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군명상호명야생동물종류정제지번주소정제도로명주소정제우편번호정제WGS84경도정제WGS84위도
0고양시찬우물버섯농장(아기동물원)2종 4개체경기도 고양시 일산동구 식사동 468 외 2필지<NA>10299126.81798537.668574
1고양시수피아엔터테인먼트7종 7개체경기도 고양시 일산동구 백석동 1413-6, 지하1층경기도 고양시 일산동구 강촌로26번길 7-410424126.77963537.646386
2구리시파차1종 5개체경기도 구리시 사노동 60-4번지경기도 구리시 동구릉로460번길 96-3011906127.14471937.636802
3군포시옥탑방거북이9종 49개체경기도 군포시 산본동 963-126번지 3층경기도 군포시 금산로106번길 2915806126.93800937.371
4김포시미어캣인더시티8종 19개체경기도 김포시 구래동 6883-15, 6층 602호경기도 김포시 김포한강9로76번길 4110071126.62724337.644438
5남양주시아쿠아파크4종 10개체경기도 남양주시 별내동 1008번지 센타프라자 405호경기도 남양주시 별내2로 6412113127.12485837.646448
6부천시댕댕냥냥 부천8종 17개체경기도 부천시 심곡동 174-6번지 3층 일부경기도 부천시 부천로9번길 2914637126.78127537.485309
7부천시㈜국제키즈 판타지아7종 28개체경기도 부천시 상동 539-1번지 지하2층 제비2디01호경기도 부천시 송내대로 23914545126.75669137.504175
8성남시곤충도시3종 3개체경기도 성남시 중원구 도촌동 12<NA><NA>127.15282537.420474
9수원시주식회사 홍익리자드2종 20개체경기도 수원시 권선구 탑동 819-1번지 3층경기도 수원시 권선구 하탑로9번길 416606126.97287737.26861
시군명상호명야생동물종류정제지번주소정제도로명주소정제우편번호정제WGS84경도정제WGS84위도
33양평군네이처테이너 농업회사법인 주식회사1종 2개체경기도 양평군 양평읍 오빈리 430-21경기도 양평군 양평읍 안골길 33-512545127.46259437.506905
34오산시주식회사 오마이주5종 17개체경기도 오산시 내삼미동 389-1번지경기도 오산시 경기대로632번길 9018112127.06031237.184659
35용인시동천자연식물원1종 1개체경기도 용인시 수지구 동천동 500번지경기도 용인시 수지구 동천로 23316802127.07943937.337398
36용인시리프플레이스3종 8개체경기도 용인시 처인구 원삼면 사암리 1321경기도 용인시 처인구 원삼면 농촌파크로 217167127.30212137.179559
37의정부시서정대학교부설애완동물센터(펫인쥬)5종 18개체경기도 의정부시 의정부동 182-8번지 2층경기도 의정부시 호국로1310번길 4411692127.04953637.74159
38파주시비바리움9종 28개체경기도 파주시 파평면 마산리 295-1번지경기도 파주시 파평면 배머리길 84210809126.85125937.886127
39파주시동화힐링캠프4종 15개체경기도 파주시 파평면 두포리 121번지경기도 파주시 파평면 파평산로363번길 32-910809126.84110637.892235
40평택시작은생명4종 30개체경기도 평택시 이충동 593번지 부영아파트2단지 상가 105호경기도 평택시 이충로 93-1517734127.06690237.062217
41화성시아기농부1종 3개체경기도 화성시 양감면 신왕리 1811-9번지경기도 화성시 양감면 독줄길 33-1718632126.95082237.07798
42화성시할아버지동물농장1종 8개체경기도 화성시 우정읍 화산리 474-5번지경기도 화성시 우정읍 배미길 5018569126.78537837.064442