Overview

Dataset statistics

Number of variables14
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory118.8 B

Variable types

Text3
Categorical7
Numeric4

Dataset

Description경기도 용인시 관내 야영(캠핑)장 현황입니다. 야영(캠핑)장명, 야영(캠핑)장구분, 주소, 전화번호, 야영사이트수, 1일최대수용인원수 등의 데이터를 제공합니다.※ 데이터기준일자 : 2024-04-26
Author경기도 용인시
URLhttps://www.data.go.kr/data/15113442/fileData.do

Alerts

관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
야영사이트수 is highly overall correlated with 1일최대수용인원수High correlation
1일최대수용인원수 is highly overall correlated with 야영사이트수High correlation
야영장전화번호 is highly overall correlated with 안전시설High correlation
안전시설 is highly overall correlated with 야영장전화번호High correlation
야영(캠핑)장구분 is highly imbalanced (85.4%)Imbalance
야영장전화번호 is highly imbalanced (57.5%)Imbalance
야영(캠핑)장명 has unique valuesUnique
위도 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2024-05-04 08:08:57.937000
Analysis finished2024-05-04 08:09:07.850761
Duration9.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

야영(캠핑)장명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-05-04T08:09:08.259762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length7.3333333
Min length2

Characters and Unicode

Total characters352
Distinct characters122
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row(주)캠핑야미
2nd row골드펫리조트
3rd row구봉산오토캠핑장 나인힐스
4th row까치산 체험 관광농원
5th row꽃주렁 나무주렁 캠핑장
ValueCountFrequency (%)
캠핑장 5
 
7.6%
용인 2
 
3.0%
관광농원 2
 
3.0%
주)캠핑야미 1
 
1.5%
숲속캠핑장 1
 
1.5%
용인자연휴양림 1
 
1.5%
용인자연숲캠핑장 1
 
1.5%
용인밤골캠핑장 1
 
1.5%
용인반딧불캠핑장 1
 
1.5%
용인랜드 1
 
1.5%
Other values (50) 50
75.8%
2024-05-04T08:09:09.591273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
캠 29
 
8.2%
핑 29
 
8.2%
장 28
 
8.0%
18
 
5.1%
인 11
 
3.1%
원 10
 
2.8%
용 9
 
2.6%
농 8
 
2.3%
광 8
 
2.3%
관 7
 
2.0%
Other values (112) 195
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
94.0%
Space Separator 18
 
5.1%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
캠 29
 
8.8%
핑 29
 
8.8%
장 28
 
8.5%
인 11
 
3.3%
원 10
 
3.0%
용 9
 
2.7%
농 8
 
2.4%
광 8
 
2.4%
관 7
 
2.1%
이 6
 
1.8%
Other values (108) 186
56.2%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 332
94.3%
Common 20
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
캠 29
 
8.7%
핑 29
 
8.7%
장 28
 
8.4%
인 11
 
3.3%
원 10
 
3.0%
용 9
 
2.7%
농 8
 
2.4%
광 8
 
2.4%
관 7
 
2.1%
이 6
 
1.8%
Other values (109) 187
56.3%
Common
ValueCountFrequency (%)
18
90.0%
( 1
 
5.0%
) 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
94.0%
ASCII 20
 
5.7%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
캠 29
 
8.8%
핑 29
 
8.8%
장 28
 
8.5%
인 11
 
3.3%
원 10
 
3.0%
용 9
 
2.7%
농 8
 
2.4%
광 8
 
2.4%
관 7
 
2.1%
이 6
 
1.8%
Other values (108) 186
56.2%
ASCII
ValueCountFrequency (%)
18
90.0%
( 1
 
5.0%
) 1
 
5.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

야영(캠핑)장구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
야영장
47 
자동차야영장
 
1

Length

Max length6
Median length3
Mean length3.0625
Min length3

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
야영장 47
97.9%
자동차야영장 1
 
2.1%

Length

2024-05-04T08:09:10.126745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:09:10.541640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
야영장 47
97.9%
자동차야영장 1
 
2.1%

위도
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.18903
Minimum37.095717
Maximum37.3514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-04T08:09:10.973031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.095717
5-th percentile37.11549
Q137.128597
median37.17385
Q337.229825
95-th percentile37.315265
Maximum37.3514
Range0.2556829
Interquartile range (IQR)0.1012275

Descriptive statistics

Standard deviation0.067713044
Coefficient of variation (CV)0.00182078
Kurtosis-0.52885993
Mean37.18903
Median Absolute Deviation (MAD)0.048405
Skewness0.69075583
Sum1785.0734
Variance0.0045850563
MonotonicityNot monotonic
2024-05-04T08:09:11.583696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
37.10753 1
 
2.1%
37.3154 1
 
2.1%
37.2587 1
 
2.1%
37.131 1
 
2.1%
37.1871 1
 
2.1%
37.20691989 1
 
2.1%
37.3153 1
 
2.1%
37.1187 1
 
2.1%
37.15920343 1
 
2.1%
37.20594342 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
37.0957171 1
2.1%
37.10753 1
2.1%
37.1143 1
2.1%
37.1177 1
2.1%
37.1187 1
2.1%
37.11901 1
2.1%
37.12 1
2.1%
37.1208 1
2.1%
37.1235 1
2.1%
37.1241 1
2.1%
ValueCountFrequency (%)
37.3514 1
2.1%
37.3154 1
2.1%
37.3153 1
2.1%
37.3152 1
2.1%
37.31 1
2.1%
37.28517298 1
2.1%
37.2844 1
2.1%
37.2606 1
2.1%
37.2587 1
2.1%
37.256 1
2.1%

경도
Real number (ℝ)

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.26527
Minimum127.0529
Maximum127.4197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-04T08:09:12.307009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.0529
5-th percentile127.14054
Q1127.23538
median127.27395
Q3127.31138
95-th percentile127.34777
Maximum127.4197
Range0.3668
Interquartile range (IQR)0.07600555

Descriptive statistics

Standard deviation0.072604166
Coefficient of variation (CV)0.00057049473
Kurtosis0.93446276
Mean127.26527
Median Absolute Deviation (MAD)0.0380371
Skewness-0.69106469
Sum6108.7331
Variance0.005271365
MonotonicityNot monotonic
2024-05-04T08:09:12.913778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
127.3081 2
 
4.2%
127.1439 1
 
2.1%
127.2652 1
 
2.1%
127.2582 1
 
2.1%
127.2957 1
 
2.1%
127.3349 1
 
2.1%
127.3107742 1
 
2.1%
127.2719 1
 
2.1%
127.2955388 1
 
2.1%
127.2779982 1
 
2.1%
Other values (37) 37
77.1%
ValueCountFrequency (%)
127.0529 1
2.1%
127.0999 1
2.1%
127.1387381 1
2.1%
127.1439 1
2.1%
127.1586 1
2.1%
127.1694 1
2.1%
127.1764 1
2.1%
127.2065 1
2.1%
127.2079 1
2.1%
127.2092 1
2.1%
ValueCountFrequency (%)
127.4197 1
2.1%
127.4056219 1
2.1%
127.3519 1
2.1%
127.3401 1
2.1%
127.3349 1
2.1%
127.3313 1
2.1%
127.3285569 1
2.1%
127.3285 1
2.1%
127.3268 1
2.1%
127.3142 1
2.1%

소재지도로명주소
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-05-04T08:09:13.649553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length26.5
Min length19

Characters and Unicode

Total characters1272
Distinct characters80
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

Unique48 ?
Unique (%)100.0%

Sample

1st row경기도 용인시 처인구 남사읍 전궁로95번길 89
2nd row경기도 용인시 기흥구 기흥단지로 406
3rd row경기도 용인시 처인구 원삼면 보개원삼로1372번길 41
4th row경기도 용인시 처인구 모현읍 초부로54번길 40
5th row경기도 용인시 처인구 이동읍 경기동로1024번길 40
ValueCountFrequency (%)
경기도 48
17.1%
용인시 48
17.1%
처인구 45
16.0%
원삼면 17
 
6.0%
이동읍 9
 
3.2%
양지면 6
 
2.1%
모현읍 4
 
1.4%
백암면 4
 
1.4%
초부로 3
 
1.1%
18 2
 
0.7%
Other values (87) 95
33.8%
2024-05-04T08:09:15.234037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
236
18.6%
인 93
 
7.3%
기 54
 
4.2%
1 51
 
4.0%
경 50
 
3.9%
용 50
 
3.9%
구 48
 
3.8%
시 48
 
3.8%
도 48
 
3.8%
로 46
 
3.6%
Other values (70) 548
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 781
61.4%
Space Separator 236
 
18.6%
Decimal Number 232
 
18.2%
Dash Punctuation 23
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 93
 
11.9%
기 54
 
6.9%
경 50
 
6.4%
용 50
 
6.4%
구 48
 
6.1%
시 48
 
6.1%
도 48
 
6.1%
로 46
 
5.9%
처 45
 
5.8%
원 30
 
3.8%
Other values (58) 269
34.4%
Decimal Number
ValueCountFrequency (%)
1 51
22.0%
2 38
16.4%
4 27
11.6%
5 24
10.3%
3 19
 
8.2%
7 18
 
7.8%
0 18
 
7.8%
6 16
 
6.9%
8 12
 
5.2%
9 9
 
3.9%
Space Separator
ValueCountFrequency (%)
236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 781
61.4%
Common 491
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 93
 
11.9%
기 54
 
6.9%
경 50
 
6.4%
용 50
 
6.4%
구 48
 
6.1%
시 48
 
6.1%
도 48
 
6.1%
로 46
 
5.9%
처 45
 
5.8%
원 30
 
3.8%
Other values (58) 269
34.4%
Common
ValueCountFrequency (%)
236
48.1%
1 51
 
10.4%
2 38
 
7.7%
4 27
 
5.5%
5 24
 
4.9%
- 23
 
4.7%
3 19
 
3.9%
7 18
 
3.7%
0 18
 
3.7%
6 16
 
3.3%
Other values (2) 21
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 781
61.4%
ASCII 491
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
236
48.1%
1 51
 
10.4%
2 38
 
7.7%
4 27
 
5.5%
5 24
 
4.9%
- 23
 
4.7%
3 19
 
3.9%
7 18
 
3.7%
0 18
 
3.7%
6 16
 
3.3%
Other values (2) 21
 
4.3%
Hangul
ValueCountFrequency (%)
인 93
 
11.9%
기 54
 
6.9%
경 50
 
6.4%
용 50
 
6.4%
구 48
 
6.1%
시 48
 
6.1%
도 48
 
6.1%
로 46
 
5.9%
처 45
 
5.8%
원 30
 
3.8%
Other values (58) 269
34.4%

소재지지번주소
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-05-04T08:09:15.996689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length25.520833
Min length19

Characters and Unicode

Total characters1225
Distinct characters77
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

Unique48 ?
Unique (%)100.0%

Sample

1st row경기도 용인시 처인구 남사읍 봉무리 678-8
2nd row경기도 용인시 기흥구 고매동 5-73번지
3rd row경기도 용인시 처인구 원삼면 목신리 83-61번지
4th row경기도 용인시 처인구 모현읍 초부리 435-6번지
5th row경기도 용인시 처인구 이동읍 어비리 205-1번지
ValueCountFrequency (%)
경기도 48
17.0%
용인시 48
17.0%
처인구 45
15.9%
원삼면 17
 
6.0%
이동읍 9
 
3.2%
목신리 7
 
2.5%
양지면 6
 
2.1%
백암면 4
 
1.4%
모현읍 4
 
1.4%
초부리 4
 
1.4%
Other values (76) 91
32.2%
2024-05-04T08:09:17.415926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
235
19.2%
인 93
 
7.6%
기 51
 
4.2%
용 50
 
4.1%
경 48
 
3.9%
도 48
 
3.9%
시 48
 
3.9%
구 48
 
3.9%
처 45
 
3.7%
지 45
 
3.7%
Other values (67) 514
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 776
63.3%
Space Separator 235
 
19.2%
Decimal Number 180
 
14.7%
Dash Punctuation 34
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 93
 
12.0%
기 51
 
6.6%
용 50
 
6.4%
경 48
 
6.2%
도 48
 
6.2%
시 48
 
6.2%
구 48
 
6.2%
처 45
 
5.8%
지 45
 
5.8%
리 43
 
5.5%
Other values (55) 257
33.1%
Decimal Number
ValueCountFrequency (%)
1 30
16.7%
2 23
12.8%
4 21
11.7%
8 21
11.7%
3 19
10.6%
5 18
10.0%
6 17
9.4%
7 11
 
6.1%
0 10
 
5.6%
9 10
 
5.6%
Space Separator
ValueCountFrequency (%)
235
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 776
63.3%
Common 449
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 93
 
12.0%
기 51
 
6.6%
용 50
 
6.4%
경 48
 
6.2%
도 48
 
6.2%
시 48
 
6.2%
구 48
 
6.2%
처 45
 
5.8%
지 45
 
5.8%
리 43
 
5.5%
Other values (55) 257
33.1%
Common
ValueCountFrequency (%)
235
52.3%
- 34
 
7.6%
1 30
 
6.7%
2 23
 
5.1%
4 21
 
4.7%
8 21
 
4.7%
3 19
 
4.2%
5 18
 
4.0%
6 17
 
3.8%
7 11
 
2.4%
Other values (2) 20
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 776
63.3%
ASCII 449
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
235
52.3%
- 34
 
7.6%
1 30
 
6.7%
2 23
 
5.1%
4 21
 
4.7%
8 21
 
4.7%
3 19
 
4.2%
5 18
 
4.0%
6 17
 
3.8%
7 11
 
2.4%
Other values (2) 20
 
4.5%
Hangul
ValueCountFrequency (%)
인 93
 
12.0%
기 51
 
6.6%
용 50
 
6.4%
경 48
 
6.2%
도 48
 
6.2%
시 48
 
6.2%
구 48
 
6.2%
처 45
 
5.8%
지 45
 
5.8%
리 43
 
5.5%
Other values (55) 257
33.1%

야영장전화번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
031-324-2117
38 
031-334-4567
 
2
031-333-1222
 
2
031-307-2537
 
1
031-332-5501
 
1
Other values (4)
4 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique6 ?
Unique (%)12.5%

Sample

1st row031-324-2117
2nd row031-324-2117
3rd row031-324-2117
4th row031-324-2117
5th row031-324-2117

Common Values

ValueCountFrequency (%)
031-324-2117 38
79.2%
031-334-4567 2
 
4.2%
031-333-1222 2
 
4.2%
031-307-2537 1
 
2.1%
031-332-5501 1
 
2.1%
031-322-4221 1
 
2.1%
031-338-4266 1
 
2.1%
031-336-3838 1
 
2.1%
031-336-0040 1
 
2.1%

Length

2024-05-04T08:09:18.029052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:09:18.511530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-324-2117 38
79.2%
031-334-4567 2
 
4.2%
031-333-1222 2
 
4.2%
031-307-2537 1
 
2.1%
031-332-5501 1
 
2.1%
031-322-4221 1
 
2.1%
031-338-4266 1
 
2.1%
031-336-3838 1
 
2.1%
031-336-0040 1
 
2.1%

야영사이트수
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.291667
Minimum3
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-04T08:09:19.118698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5.35
Q112.5
median18
Q329.25
95-th percentile60.2
Maximum76
Range73
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation16.99807
Coefficient of variation (CV)0.72979193
Kurtosis1.5143776
Mean23.291667
Median Absolute Deviation (MAD)8
Skewness1.3369945
Sum1118
Variance288.9344
MonotonicityNot monotonic
2024-05-04T08:09:19.691830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
6 4
 
8.3%
14 3
 
6.2%
13 3
 
6.2%
18 2
 
4.2%
25 2
 
4.2%
36 2
 
4.2%
10 2
 
4.2%
21 2
 
4.2%
11 2
 
4.2%
15 2
 
4.2%
Other values (22) 24
50.0%
ValueCountFrequency (%)
3 1
 
2.1%
4 1
 
2.1%
5 1
 
2.1%
6 4
8.3%
7 1
 
2.1%
10 2
4.2%
11 2
4.2%
13 3
6.2%
14 3
6.2%
15 2
4.2%
ValueCountFrequency (%)
76 1
2.1%
65 1
2.1%
63 1
2.1%
55 1
2.1%
51 1
2.1%
44 1
2.1%
43 1
2.1%
36 2
4.2%
35 1
2.1%
34 1
2.1%

1일최대수용인원수
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.5625
Minimum10
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-04T08:09:20.197504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q148.5
median70
Q3102.5
95-th percentile232.5
Maximum300
Range290
Interquartile range (IQR)54

Descriptive statistics

Standard deviation63.921463
Coefficient of variation (CV)0.74707335
Kurtosis2.8907883
Mean85.5625
Median Absolute Deviation (MAD)30
Skewness1.6416147
Sum4107
Variance4085.9535
MonotonicityNot monotonic
2024-05-04T08:09:20.551967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
50 6
12.5%
20 6
12.5%
60 5
10.4%
100 5
10.4%
80 4
 
8.3%
70 3
 
6.2%
40 3
 
6.2%
140 3
 
6.2%
110 2
 
4.2%
260 1
 
2.1%
Other values (10) 10
20.8%
ValueCountFrequency (%)
10 1
 
2.1%
20 6
12.5%
28 1
 
2.1%
40 3
6.2%
44 1
 
2.1%
50 6
12.5%
60 5
10.4%
70 3
6.2%
80 4
8.3%
90 1
 
2.1%
ValueCountFrequency (%)
300 1
 
2.1%
260 1
 
2.1%
250 1
 
2.1%
200 1
 
2.1%
170 1
 
2.1%
140 3
6.2%
125 1
 
2.1%
120 1
 
2.1%
110 2
 
4.2%
100 5
10.4%

편의시설
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
하수도시설+전기시설+개수대+샤워실
25 
하수도시설+전기시설+개수대
15 
전기시설+하수도시설+개수대
7 
하수도시설+전기시설+취사시설
 
1

Length

Max length18
Median length18
Mean length16.104167
Min length14

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row하수도시설+전기시설+개수대+샤워실
2nd row하수도시설+전기시설+개수대+샤워실
3rd row하수도시설+전기시설+개수대
4th row하수도시설+전기시설+개수대+샤워실
5th row하수도시설+전기시설+개수대

Common Values

ValueCountFrequency (%)
하수도시설+전기시설+개수대+샤워실 25
52.1%
하수도시설+전기시설+개수대 15
31.2%
전기시설+하수도시설+개수대 7
 
14.6%
하수도시설+전기시설+취사시설 1
 
2.1%

Length

2024-05-04T08:09:20.941740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:09:21.276754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하수도시설+전기시설+개수대+샤워실 25
52.1%
하수도시설+전기시설+개수대 15
31.2%
전기시설+하수도시설+개수대 7
 
14.6%
하수도시설+전기시설+취사시설 1
 
2.1%

안전시설
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size516.0 B
소화기+확성기+안전게시물+관리요원
27 
소화기+방송시설+안전게시물+관리요원
11 
소화기+확성기+안전게시물+대피소+관리요원
4 
소화기+확성기+안전게시물+관리요원+대피소
3 
소화기+확성기+대피소+관리요원
 
2

Length

Max length23
Median length18
Mean length18.833333
Min length16

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row소화기+확성기+안전게시물+관리요원
2nd row소화기+확성기+안전게시물+관리요원
3rd row소화기+확성기+안전게시물+관리요원
4th row소화기+방송시설+안전게시물+관리요원
5th row소화기+확성기+안전게시물+관리요원

Common Values

ValueCountFrequency (%)
소화기+확성기+안전게시물+관리요원 27
56.2%
소화기+방송시설+안전게시물+관리요원 11
22.9%
소화기+확성기+안전게시물+대피소+관리요원 4
 
8.3%
소화기+확성기+안전게시물+관리요원+대피소 3
 
6.2%
소화기+확성기+대피소+관리요원 2
 
4.2%
소화기+방송장비+안전게시물+대피소+관리요원 1
 
2.1%

Length

2024-05-04T08:09:21.596843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:09:21.935083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소화기+확성기+안전게시물+관리요원 27
56.2%
소화기+방송시설+안전게시물+관리요원 11
22.9%
소화기+확성기+안전게시물+대피소+관리요원 4
 
8.3%
소화기+확성기+안전게시물+관리요원+대피소 3
 
6.2%
소화기+확성기+대피소+관리요원 2
 
4.2%
소화기+방송장비+안전게시물+대피소+관리요원 1
 
2.1%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
031-324-2117
48 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-324-2117
2nd row031-324-2117
3rd row031-324-2117
4th row031-324-2117
5th row031-324-2117

Common Values

ValueCountFrequency (%)
031-324-2117 48
100.0%

Length

2024-05-04T08:09:22.357610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:09:22.658726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-324-2117 48
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
경기도 용인시청
48 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 용인시청
2nd row경기도 용인시청
3rd row경기도 용인시청
4th row경기도 용인시청
5th row경기도 용인시청

Common Values

ValueCountFrequency (%)
경기도 용인시청 48
100.0%

Length

2024-05-04T08:09:22.973407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:09:23.280498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 48
50.0%
용인시청 48
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-04-26
48 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-26
2nd row2024-04-26
3rd row2024-04-26
4th row2024-04-26
5th row2024-04-26

Common Values

ValueCountFrequency (%)
2024-04-26 48
100.0%

Length

2024-05-04T08:09:23.604762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:09:23.890514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-26 48
100.0%

Interactions

2024-05-04T08:09:04.909890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:08:59.685970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:01.235956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:02.802165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:05.289807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:00.058142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:01.566827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:03.370744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:05.558119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:00.489345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:01.990152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:03.944791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:05.994178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:00.928928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:02.474581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:09:04.400600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T08:09:24.083886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
야영(캠핑)장명야영(캠핑)장구분위도경도소재지도로명주소소재지지번주소야영장전화번호야영사이트수1일최대수용인원수편의시설안전시설
야영(캠핑)장명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
야영(캠핑)장구분1.0001.0000.5220.0001.0001.0000.0000.0000.0000.3840.000
위도1.0000.5221.0000.8341.0001.0000.4260.0000.0000.5300.304
경도1.0000.0000.8341.0001.0001.0000.0000.0000.0000.0000.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
야영장전화번호1.0000.0000.4260.0001.0001.0001.0000.4770.0000.0000.827
야영사이트수1.0000.0000.0000.0001.0001.0000.4771.0000.9730.0000.435
1일최대수용인원수1.0000.0000.0000.0001.0001.0000.0000.9731.0000.0000.000
편의시설1.0000.3840.5300.0001.0001.0000.0000.0000.0001.0000.647
안전시설1.0000.0000.3040.0001.0001.0000.8270.4350.0000.6471.000
2024-05-04T08:09:24.436549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
야영(캠핑)장구분편의시설야영장전화번호안전시설
야영(캠핑)장구분1.0000.2490.0000.000
편의시설0.2491.0000.0000.464
야영장전화번호0.0000.0001.0000.565
안전시설0.0000.4640.5651.000
2024-05-04T08:09:24.740500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도야영사이트수1일최대수용인원수야영(캠핑)장구분야영장전화번호편의시설안전시설
위도1.000-0.495-0.316-0.3160.3610.1950.3150.142
경도-0.4951.0000.1410.1300.0000.0000.0000.000
야영사이트수-0.3160.1411.0000.9790.0000.2270.0000.225
1일최대수용인원수-0.3160.1300.9791.0000.0000.0000.0000.000
야영(캠핑)장구분0.3610.0000.0000.0001.0000.0000.2490.000
야영장전화번호0.1950.0000.2270.0000.0001.0000.0000.565
편의시설0.3150.0000.0000.0000.2490.0001.0000.464
안전시설0.1420.0000.2250.0000.0000.5650.4641.000

Missing values

2024-05-04T08:09:06.604896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T08:09:07.279200image/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

야영(캠핑)장명야영(캠핑)장구분위도경도소재지도로명주소소재지지번주소야영장전화번호야영사이트수1일최대수용인원수편의시설안전시설관리기관전화번호관리기관명데이터기준일자
0(주)캠핑야미야영장37.10753127.1439경기도 용인시 처인구 남사읍 전궁로95번길 89경기도 용인시 처인구 남사읍 봉무리 678-8031-324-211735140하수도시설+전기시설+개수대+샤워실소화기+확성기+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
1골드펫리조트야영장37.221018127.138738경기도 용인시 기흥구 기흥단지로 406경기도 용인시 기흥구 고매동 5-73번지031-324-211726100하수도시설+전기시설+개수대+샤워실소화기+확성기+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
2구봉산오토캠핑장 나인힐스야영장37.1177127.3132경기도 용인시 처인구 원삼면 보개원삼로1372번길 41경기도 용인시 처인구 원삼면 목신리 83-61번지031-324-211751200하수도시설+전기시설+개수대소화기+확성기+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
3까치산 체험 관광농원야영장37.31127.2456경기도 용인시 처인구 모현읍 초부로54번길 40경기도 용인시 처인구 모현읍 초부리 435-6번지031-324-2117620하수도시설+전기시설+개수대+샤워실소화기+방송시설+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
4꽃주렁 나무주렁 캠핑장야영장37.1143127.2095경기도 용인시 처인구 이동읍 경기동로1024번길 40경기도 용인시 처인구 이동읍 어비리 205-1번지031-324-21171660하수도시설+전기시설+개수대소화기+확성기+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
5다누리움테마파크야영장37.1293127.2435경기도 용인시 처인구 이동읍 묘봉로277번길 41경기도 용인시 처인구 이동읍 묘봉리 77-4번지031-307-253755100하수도시설+전기시설+개수대+샤워실소화기+확성기+대피소+관리요원031-324-2117경기도 용인시청2024-04-26
6단풍숲캠핑장야영장37.1241127.3139경기도 용인시 처인구 원삼면 보개원삼로1462번길 14-22경기도 용인시 처인구 원삼면 목신리 258-48번지031-324-211729110전기시설+하수도시설+개수대소화기+확성기+안전게시물+대피소+관리요원031-324-2117경기도 용인시청2024-04-26
7룰루랄라 캠핑장야영장37.196133127.271648경기도 용인시 처인구 동부로729번길 97경기도 용인시 처인구 해곡동 230031-324-21171560전기시설+하수도시설+개수대소화기+확성기+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
8마운틴캠핑장야영장37.1351127.3285경기도 용인시 처인구 원삼면 후평로185번길 50경기도 용인시 처인구 원삼면 죽능리 26-34번지031-324-21172280하수도시설+전기시설+개수대+샤워실소화기+확성기+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
9문수산캠핑장야영장37.1622127.2529경기도 용인시 처인구 이동읍 이원로 637-1경기도 용인시 처인구 이동읍 묵리 205번지031-324-211765260하수도시설+전기시설+개수대소화기+확성기+안전게시물+관리요원+대피소031-324-2117경기도 용인시청2024-04-26
야영(캠핑)장명야영(캠핑)장구분위도경도소재지도로명주소소재지지번주소야영장전화번호야영사이트수1일최대수용인원수편의시설안전시설관리기관전화번호관리기관명데이터기준일자
38주원캠핑장야영장37.1208127.3074경기도 용인시 처인구 원삼면 보개원삼로1415번길 11-14경기도 용인시 처인구 원삼면 목신리 698번지031-324-2117620하수도시설+전기시설+개수대+샤워실소화기+방송시설+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
39철이네 캠핑랜드야영장37.1235127.3519경기도 용인시 처인구 백암면 용천로 205경기도 용인시 처인구 백암면 용천리 627-15번지031-324-21172390하수도시설+전기시설+개수대+샤워실소화기+방송시설+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
40캐리비안캠프야영장37.2844127.2092경기도 용인시 처인구 포곡읍 마성로 356경기도 용인시 처인구 포곡읍 전대리 457-3번지031-324-21171350하수도시설+전기시설+취사시설소화기+확성기+안전게시물+관리요원+대피소031-324-2117경기도 용인시청2024-04-26
41캠프레이크야영장37.2275127.0999경기도 용인시 기흥구 동탄기흥로785번길 21-5경기도 용인시 기흥구 고매동 539-1번지031-324-21171450하수도시설+전기시설+개수대+샤워실소화기+방송시설+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
42파이브이모션관광농원야영장37.12649127.4197경기도 용인시 처인구 백암면 고안로181번길14-29외경기도 용인시 처인구 백암면 고안리 51-3외031-324-211763250하수도시설+전기시설+개수대+샤워실소화기+확성기+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
43팡팡캠핑장야영장37.1817127.2914경기도 용인시 처인구 원삼면 동부로 1041경기도 용인시 처인구 원삼면 사암리 1024-31번지031-324-211728110전기시설+하수도시설+개수대소화기+확성기+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
44한코관광농원야영장야영장37.095717127.405622경기도 용인시 처인구 백암면 한택로 18경기도 용인시 처인구 백암면 옥산리 374-1031-324-211736140하수도시설+전기시설+개수대+샤워실소화기+확성기+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
45한터팜오토캠핑장자동차야영장37.2606127.2526경기도 용인시 처인구 양지면 한터로 432-12경기도 용인시 처인구 양지면 대대리 299-1번지031-324-211730120전기시설+하수도시설+개수대소화기+확성기+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
46햇골글램핑야영장37.2456127.2079경기도 용인시 처인구 백옥대로1191번길 63-7경기도 용인시 처인구 유방동 548-9번지031-324-21171140하수도시설+전기시설+개수대+샤워실소화기+방송시설+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26
47힐포인트야영장37.3514127.0529경기도 용인시 수지구 동천로 541경기도 용인시 수지구 고기동 346-1번지031-324-21171350하수도시설+전기시설+개수대+샤워실소화기+확성기+안전게시물+관리요원031-324-2117경기도 용인시청2024-04-26