Overview

Dataset statistics

Number of variables9
Number of observations53
Missing cells4
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory76.5 B

Variable types

Text4
Categorical3
Numeric2

Dataset

Description강원특별자치도 소재 낚시터에 대한 데이터를 제공합니다. - 제공 데이터 : 낚시터명, 낚시터유형, 소재지도로명주소, 위/경도, 등
URLhttps://www.data.go.kr/data/3045472/fileData.do

Alerts

위도 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
낚시터유형 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
주요어종 is highly overall correlated with 낚시터유형 and 1 other fieldsHigh correlation
관리기관명 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
낚시터전화번호 has 4 (7.5%) missing valuesMissing
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:51:39.660321
Analysis finished2023-12-12 02:51:40.905840
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

낚시터명
Text

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T11:51:41.037567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.1132075
Min length4

Characters and Unicode

Total characters324
Distinct characters103
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

Unique51 ?
Unique (%)96.2%

Sample

1st row유포리 낚시터
2nd row거두리 낚시터
3rd row강촌체험 낚시터
4th row추곡터널낚시터
5th row은파정 낚시터
ValueCountFrequency (%)
낚시터 22
29.3%
샘골낚시터 2
 
2.7%
연당낚시터 1
 
1.3%
안흥낚시공원 1
 
1.3%
복지낚시터 1
 
1.3%
시동유정 1
 
1.3%
모곡 1
 
1.3%
구만리 1
 
1.3%
현천낚시터 1
 
1.3%
도깨비낚시터 1
 
1.3%
Other values (43) 43
57.3%
2023-12-12T11:51:41.427421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 53
16.4%
낚 52
16.0%
터 52
16.0%
22
 
6.8%
리 7
 
2.2%
곡 5
 
1.5%
천 5
 
1.5%
고 3
 
0.9%
원 3
 
0.9%
산 3
 
0.9%
Other values (93) 119
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
93.2%
Space Separator 22
 
6.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 53
17.5%
낚 52
17.2%
터 52
17.2%
리 7
 
2.3%
곡 5
 
1.7%
천 5
 
1.7%
고 3
 
1.0%
원 3
 
1.0%
산 3
 
1.0%
무 3
 
1.0%
Other values (92) 116
38.4%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
93.2%
Common 22
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 53
17.5%
낚 52
17.2%
터 52
17.2%
리 7
 
2.3%
곡 5
 
1.7%
천 5
 
1.7%
고 3
 
1.0%
원 3
 
1.0%
산 3
 
1.0%
무 3
 
1.0%
Other values (92) 116
38.4%
Common
ValueCountFrequency (%)
22
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
93.2%
ASCII 22
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 53
17.5%
낚 52
17.2%
터 52
17.2%
리 7
 
2.3%
곡 5
 
1.7%
천 5
 
1.7%
고 3
 
1.0%
원 3
 
1.0%
산 3
 
1.0%
무 3
 
1.0%
Other values (92) 116
38.4%
ASCII
ValueCountFrequency (%)
22
100.0%

낚시터유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
평지
23 
저수지
17 
기타
13 

Length

Max length3
Median length2
Mean length2.3207547
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평지 23
43.4%
저수지 17
32.1%
기타 13
24.5%

Length

2023-12-12T11:51:41.581881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:51:41.710935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평지 23
43.4%
저수지 17
32.1%
기타 13
24.5%

소재지도로명주소
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T11:51:42.051607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length25.358491
Min length19

Characters and Unicode

Total characters1344
Distinct characters131
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

Unique53 ?
Unique (%)100.0%

Sample

1st row강원특별자치도 춘천시 신북읍 맥국3길 15-28
2nd row강원특별자치도 춘천시 동내면 거두리 312-3
3rd row강원특별자치도 춘천시 남면 박암관천길 511-55
4th row강원특별자치도 춘천시 북산면 춘양로 1,452
5th row강원특별자치도 춘천시 동산면 조양리 영서로 287-17
ValueCountFrequency (%)
강원특별자치도 53
 
18.7%
원주시 14
 
4.9%
춘천시 12
 
4.2%
외 11
 
3.9%
횡성군 7
 
2.5%
남면 4
 
1.4%
화천군 4
 
1.4%
서면 4
 
1.4%
호저면 3
 
1.1%
3필지 3
 
1.1%
Other values (145) 169
59.5%
2023-12-12T11:51:42.514677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
232
 
17.3%
원 69
 
5.1%
강 55
 
4.1%
특 53
 
3.9%
별 53
 
3.9%
자 53
 
3.9%
치 53
 
3.9%
도 53
 
3.9%
1 47
 
3.5%
면 38
 
2.8%
Other values (121) 638
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 874
65.0%
Space Separator 232
 
17.3%
Decimal Number 207
 
15.4%
Dash Punctuation 27
 
2.0%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 69
 
7.9%
강 55
 
6.3%
특 53
 
6.1%
별 53
 
6.1%
자 53
 
6.1%
치 53
 
6.1%
도 53
 
6.1%
면 38
 
4.3%
리 32
 
3.7%
시 30
 
3.4%
Other values (108) 385
44.1%
Decimal Number
ValueCountFrequency (%)
1 47
22.7%
2 29
14.0%
5 21
10.1%
3 20
9.7%
4 18
 
8.7%
6 18
 
8.7%
7 17
 
8.2%
8 15
 
7.2%
0 12
 
5.8%
9 10
 
4.8%
Space Separator
ValueCountFrequency (%)
232
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 874
65.0%
Common 470
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 69
 
7.9%
강 55
 
6.3%
특 53
 
6.1%
별 53
 
6.1%
자 53
 
6.1%
치 53
 
6.1%
도 53
 
6.1%
면 38
 
4.3%
리 32
 
3.7%
시 30
 
3.4%
Other values (108) 385
44.1%
Common
ValueCountFrequency (%)
232
49.4%
1 47
 
10.0%
2 29
 
6.2%
- 27
 
5.7%
5 21
 
4.5%
3 20
 
4.3%
4 18
 
3.8%
6 18
 
3.8%
7 17
 
3.6%
8 15
 
3.2%
Other values (3) 26
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 874
65.0%
ASCII 470
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
232
49.4%
1 47
 
10.0%
2 29
 
6.2%
- 27
 
5.7%
5 21
 
4.5%
3 20
 
4.3%
4 18
 
3.8%
6 18
 
3.8%
7 17
 
3.6%
8 15
 
3.2%
Other values (3) 26
 
5.5%
Hangul
ValueCountFrequency (%)
원 69
 
7.9%
강 55
 
6.3%
특 53
 
6.1%
별 53
 
6.1%
자 53
 
6.1%
치 53
 
6.1%
도 53
 
6.1%
면 38
 
4.3%
리 32
 
3.7%
시 30
 
3.4%
Other values (108) 385
44.1%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.606649
Minimum37.093828
Maximum38.1409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-12T11:51:42.649079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.093828
5-th percentile37.169231
Q137.332157
median37.476813
Q337.860436
95-th percentile38.119427
Maximum38.1409
Range1.047072
Interquartile range (IQR)0.5282795

Descriptive statistics

Standard deviation0.31657785
Coefficient of variation (CV)0.0084181351
Kurtosis-1.2485922
Mean37.606649
Median Absolute Deviation (MAD)0.2345867
Skewness0.30719929
Sum1993.1524
Variance0.10022154
MonotonicityNot monotonic
2023-12-12T11:51:42.766718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.9467507 1
 
1.9%
37.216073 1
 
1.9%
37.7254 1
 
1.9%
37.593 1
 
1.9%
37.6959 1
 
1.9%
37.7114 1
 
1.9%
37.4832947 1
 
1.9%
37.4434339 1
 
1.9%
37.4768133 1
 
1.9%
37.5858064 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
37.093828 1
1.9%
37.129534 1
1.9%
37.156422 1
1.9%
37.17777007 1
1.9%
37.216073 1
1.9%
37.28116 1
1.9%
37.299091 1
1.9%
37.307953 1
1.9%
37.315042 1
1.9%
37.321224 1
1.9%
ValueCountFrequency (%)
38.1409 1
1.9%
38.12217562 1
1.9%
38.12074 1
1.9%
38.118551 1
1.9%
38.09417638 1
1.9%
38.091313 1
1.9%
38.078714 1
1.9%
38.0483983 1
1.9%
38.0337973 1
1.9%
38.0134364 1
1.9%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.95748
Minimum127.2149
Maximum129.07194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-12T11:51:42.885152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.2149
5-th percentile127.57983
Q1127.78207
median127.90726
Q3128.02601
95-th percentile128.61428
Maximum129.07194
Range1.85704
Interquartile range (IQR)0.2439417

Descriptive statistics

Standard deviation0.34461046
Coefficient of variation (CV)0.0026931639
Kurtosis3.2090774
Mean127.95748
Median Absolute Deviation (MAD)0.1251977
Skewness1.4540942
Sum6781.7463
Variance0.11875637
MonotonicityNot monotonic
2023-12-12T11:51:43.250387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.7747995 1
 
1.9%
128.407045 1
 
1.9%
127.966 1
 
1.9%
127.8248 1
 
1.9%
127.5745 1
 
1.9%
127.7022 1
 
1.9%
128.1758414 1
 
1.9%
128.0718352 1
 
1.9%
127.9682877 1
 
1.9%
127.9950922 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
127.2149 1
1.9%
127.5392571 1
1.9%
127.5745 1
1.9%
127.5833808 1
1.9%
127.6067831 1
1.9%
127.6263932 1
1.9%
127.6680248 1
1.9%
127.6767756 1
1.9%
127.6969261 1
1.9%
127.7005042 1
1.9%
ValueCountFrequency (%)
129.07194 1
1.9%
128.9953122 1
1.9%
128.9251245 1
1.9%
128.407045 1
1.9%
128.3797789 1
1.9%
128.3792407 1
1.9%
128.3785834 1
1.9%
128.323737 1
1.9%
128.1758414 1
1.9%
128.1613342 1
1.9%

낚시터전화번호
Text

MISSING 

Distinct49
Distinct (%)100.0%
Missing4
Missing (%)7.5%
Memory size556.0 B
2023-12-12T11:51:43.454713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.163265
Min length12

Characters and Unicode

Total characters596
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

Unique49 ?
Unique (%)100.0%

Sample

1st row033-242-5959
2nd row033-262-6955
3rd row033-264-3773
4th row033-243-1843
5th row033-261-2731
ValueCountFrequency (%)
033-747-3386 1
 
2.0%
033-581-2228 1
 
2.0%
033-374-8384 1
 
2.0%
033-553-6777 1
 
2.0%
033-433-1108 1
 
2.0%
033-432-3637 1
 
2.0%
033-435-9995 1
 
2.0%
033-344-1500 1
 
2.0%
033-345-2596 1
 
2.0%
033-343-2528 1
 
2.0%
Other values (39) 39
79.6%
2023-12-12T11:51:43.763755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 147
24.7%
- 98
16.4%
0 78
13.1%
5 44
 
7.4%
4 43
 
7.2%
2 42
 
7.0%
7 39
 
6.5%
1 29
 
4.9%
8 28
 
4.7%
6 24
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 498
83.6%
Dash Punctuation 98
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 147
29.5%
0 78
15.7%
5 44
 
8.8%
4 43
 
8.6%
2 42
 
8.4%
7 39
 
7.8%
1 29
 
5.8%
8 28
 
5.6%
6 24
 
4.8%
9 24
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 596
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 147
24.7%
- 98
16.4%
0 78
13.1%
5 44
 
7.4%
4 43
 
7.2%
2 42
 
7.0%
7 39
 
6.5%
1 29
 
4.9%
8 28
 
4.7%
6 24
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 596
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 147
24.7%
- 98
16.4%
0 78
13.1%
5 44
 
7.4%
4 43
 
7.2%
2 42
 
7.0%
7 39
 
6.5%
1 29
 
4.9%
8 28
 
4.7%
6 24
 
4.0%

주요어종
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
붕어, 향어, 잉어
8 
붕어,잉어,향어
5 
붕어,잉어
4 
붕어,잉어 등
4 
붕어, 잉어
4 
Other values (19)
28 

Length

Max length19
Median length11
Mean length8.0566038
Min length2

Unique

Unique13 ?
Unique (%)24.5%

Sample

1st row향어, 잉어 등
2nd row붕어, 향어 등
3rd row잉어, 붕어 등
4th row붕어 등
5th row향어, 붕어 등

Common Values

ValueCountFrequency (%)
붕어, 향어, 잉어 8
15.1%
붕어,잉어,향어 5
 
9.4%
붕어,잉어 4
 
7.5%
붕어,잉어 등 4
 
7.5%
붕어, 잉어 4
 
7.5%
향어,붕어,잉어 등 3
 
5.7%
향어, 붕어 등 3
 
5.7%
향어 등 3
 
5.7%
향어, 메기, 뱀장어 2
 
3.8%
붕어, 이스라엘잉어, 잉어 2
 
3.8%
Other values (14) 15
28.3%

Length

2023-12-12T11:51:43.886065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
붕어 26
21.7%
잉어 23
19.2%
향어 22
18.3%
등 19
15.8%
붕어,잉어 8
 
6.7%
붕어,잉어,향어 5
 
4.2%
메기 4
 
3.3%
향어,붕어,잉어 3
 
2.5%
뱀장어 2
 
1.7%
이스라엘잉어 2
 
1.7%
Other values (6) 6
 
5.0%

주변관광지
Text

Distinct35
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T11:51:44.084624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length12
Mean length9.0943396
Min length3

Characters and Unicode

Total characters482
Distinct characters143
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

Unique26 ?
Unique (%)49.1%

Sample

1st row신북읍소양댐막국수거리
2nd row구봉산전망대카페거리
3rd row제따와나선원
4th row추곡약수터
5th row모형항공기박물관
ValueCountFrequency (%)
치악산국립공원 6
 
7.2%
파로호 4
 
4.8%
선착장 4
 
4.8%
토속어류생태체험관 4
 
4.8%
국립백운산자연휴양림 4
 
4.8%
칠봉유원지 3
 
3.6%
팔봉산 3
 
3.6%
관광지 3
 
3.6%
소노벨 3
 
3.6%
비발디파크 3
 
3.6%
Other values (40) 46
55.4%
2023-12-12T11:51:44.419259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
6.2%
원 17
 
3.5%
관 15
 
3.1%
산 15
 
3.1%
지 12
 
2.5%
국 12
 
2.5%
, 12
 
2.5%
립 11
 
2.3%
공 11
 
2.3%
파 10
 
2.1%
Other values (133) 337
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
91.3%
Space Separator 30
 
6.2%
Other Punctuation 12
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 17
 
3.9%
관 15
 
3.4%
산 15
 
3.4%
지 12
 
2.7%
국 12
 
2.7%
립 11
 
2.5%
공 11
 
2.5%
파 10
 
2.3%
리 10
 
2.3%
장 9
 
2.0%
Other values (131) 318
72.3%
Space Separator
ValueCountFrequency (%)
30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
91.3%
Common 42
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 17
 
3.9%
관 15
 
3.4%
산 15
 
3.4%
지 12
 
2.7%
국 12
 
2.7%
립 11
 
2.5%
공 11
 
2.5%
파 10
 
2.3%
리 10
 
2.3%
장 9
 
2.0%
Other values (131) 318
72.3%
Common
ValueCountFrequency (%)
30
71.4%
, 12
 
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
91.3%
ASCII 42
 
8.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
71.4%
, 12
 
28.6%
Hangul
ValueCountFrequency (%)
원 17
 
3.9%
관 15
 
3.4%
산 15
 
3.4%
지 12
 
2.7%
국 12
 
2.7%
립 11
 
2.5%
공 11
 
2.5%
파 10
 
2.3%
리 10
 
2.3%
장 9
 
2.0%
Other values (131) 318
72.3%

관리기관명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
강원특별자치도 원주시
14 
강원특별자치도 춘천시
12 
강원특별자치도 횡성군
7 
강원특별자치도 홍천군
4 
강원특별자치도 화천군
4 
Other values (6)
12 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row강원특별자치도 춘천시
2nd row강원특별자치도 춘천시
3rd row강원특별자치도 춘천시
4th row강원특별자치도 춘천시
5th row강원특별자치도 춘천시

Common Values

ValueCountFrequency (%)
강원특별자치도 원주시 14
26.4%
강원특별자치도 춘천시 12
22.6%
강원특별자치도 횡성군 7
13.2%
강원특별자치도 홍천군 4
 
7.5%
강원특별자치도 화천군 4
 
7.5%
강원특별자치도 영월군 3
 
5.7%
강원특별자치도 양구군 3
 
5.7%
강원특별자치도 태백시 2
 
3.8%
강원특별자치도 평창군 2
 
3.8%
강원특별자치도 동해시 1
 
1.9%

Length

2023-12-12T11:51:44.527130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강원특별자치도 53
50.0%
원주시 14
 
13.2%
춘천시 12
 
11.3%
횡성군 7
 
6.6%
홍천군 4
 
3.8%
화천군 4
 
3.8%
영월군 3
 
2.8%
양구군 3
 
2.8%
태백시 2
 
1.9%
평창군 2
 
1.9%
Other values (2) 2
 
1.9%

Interactions

2023-12-12T11:51:40.476622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:51:40.261328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:51:40.559144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:51:40.342350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:51:44.593778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
낚시터명낚시터유형소재지도로명주소위도경도낚시터전화번호주요어종주변관광지관리기관명
낚시터명1.0000.7941.0000.9580.9731.0000.9260.9860.989
낚시터유형0.7941.0001.0000.7370.4261.0000.9020.9590.808
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.9580.7371.0001.0000.5701.0000.8660.9500.823
경도0.9730.4261.0000.5701.0001.0000.9180.9850.874
낚시터전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
주요어종0.9260.9021.0000.8660.9181.0001.0000.9760.982
주변관광지0.9860.9591.0000.9500.9851.0000.9761.0000.997
관리기관명0.9890.8081.0000.8230.8741.0000.9820.9971.000
2023-12-12T11:51:44.697159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
낚시터유형관리기관명주요어종
낚시터유형1.0000.6290.515
관리기관명0.6291.0000.733
주요어종0.5150.7331.000
2023-12-12T11:51:44.776439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도낚시터유형주요어종관리기관명
위도1.000-0.6210.5580.4420.527
경도-0.6211.0000.2800.4820.645
낚시터유형0.5580.2801.0000.5150.629
주요어종0.4420.4820.5151.0000.733
관리기관명0.5270.6450.6290.7331.000

Missing values

2023-12-12T11:51:40.699606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:51:40.855178image/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

낚시터명낚시터유형소재지도로명주소위도경도낚시터전화번호주요어종주변관광지관리기관명
0유포리 낚시터평지강원특별자치도 춘천시 신북읍 맥국3길 15-2837.946751127.7748033-242-5959향어, 잉어 등신북읍소양댐막국수거리강원특별자치도 춘천시
1거두리 낚시터평지강원특별자치도 춘천시 동내면 거두리 312-337.860436127.788923033-262-6955붕어, 향어 등구봉산전망대카페거리강원특별자치도 춘천시
2강촌체험 낚시터평지강원특별자치도 춘천시 남면 박암관천길 511-5537.721252127.539257033-264-3773잉어, 붕어 등제따와나선원강원특별자치도 춘천시
3추곡터널낚시터평지강원특별자치도 춘천시 북산면 춘양로 1,45238.033797127.87635033-243-1843붕어 등추곡약수터강원특별자치도 춘천시
4은파정 낚시터평지강원특별자치도 춘천시 동산면 조양리 영서로 287-1737.7558127.811633033-261-2731향어, 붕어 등모형항공기박물관강원특별자치도 춘천시
5팔미리 낚시터평지강원특별자치도 춘천시 신동면 팔미리 경춘로 1,81737.821182127.700504033-261-3570붕어, 잉어 등의암호스카이워크강원특별자치도 춘천시
6말고개 낚시터평지강원특별자치도 춘천시 사북면 신포길 641-138.013436127.626393033-243-8927향어 등지암계곡강원특별자치도 춘천시
7소양계곡 낚시터평지강원특별자치도 춘천시 서면 안보리 율장길 26637.860211127.583381033-263-5322향어 등해피랜드 체험농원강원특별자치도 춘천시
8춘천실내낚시터기타강원특별자치도 춘천시 공지로 21037.86266127.7402170507-1398-9810잉어 등국립춘천박물관강원특별자치도 춘천시
9은행나무하우스낚시터기타강원특별자치도 춘천시 신동면 경춘로 1,77337.822853127.696926033-261-2442향어, 붕어 등김유정문학촌강원특별자치도 춘천시
낚시터명낚시터유형소재지도로명주소위도경도낚시터전화번호주요어종주변관광지관리기관명
43평창낚시터저수지강원특별자치도 평창군 평창읍 등강길 44-237.348982128.3797790507-1376-5150붕어, 잉어, 향어평창 바위공원강원특별자치도 평창군
44천동낚시터저수지강원특별자치도 평창군 평창읍 천동리 9337.33338128.379241033-334-3661붕어, 잉어, 향어평창 바위공원강원특별자치도 평창군
45산내들 낚시터기타강원특별자치도 철원군 김화읍 연동길 3338.1409127.2149033-458-0809향어,메기,장어화강 쉬리캠핑장강원특별자치도 철원군
46원천 낚시터기타강원특별자치도 화천군 하남면 호수길 16338.048398127.676776033-441-3708붕어,잉어파로호 선착장, 토속어류생태체험관강원특별자치도 화천군
47태산 낚시터기타강원특별자치도 화천군 화천읍 호음로108038.122176127.813278033-442-3987붕어,잉어파로호 선착장, 토속어류생태체험관강원특별자치도 화천군
48형제 낚시터기타강원특별자치도 화천군 간동면 방천리 132438.094176127.849202033-442-6505붕어,잉어파로호 선착장, 토속어류생태체험관강원특별자치도 화천군
49도송좌대 낚시터기타강원특별자치도 화천군 간동면 파로호로567-1738.078714127.782067<NA>붕어,잉어파로호 선착장, 토속어류생태체험관강원특별자치도 화천군
50월명 낚시터기타강원특별자치도 양구군 양구읍 월명리 60238.118551127.907265033-482-3385향어,붕어,잉어 등상무룡리 출렁다리강원특별자치도 양구군
51상무룡리 낚시터기타강원특별자치도 양구군 양구읍 월명리 655-138.12074127.900305033-481-6382향어,붕어,잉어 등상무룡리 출렁다리강원특별자치도 양구군
52창리 낚시터평지강원특별자치도 양구군 국토정중앙면 창리 218-138.091313128.026009033-482-1357향어,붕어,잉어 등박수근미술관강원특별자치도 양구군