Overview

Dataset statistics

Number of variables4
Number of observations258
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory33.5 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description충청북도 야영장 현황의 데이터로서, 야영장 명칭, 소재지의 데이터를 제공합니다.(캠핑장, 글램핑장, 오토캠핑장 등)
URLhttps://www.data.go.kr/data/15103640/fileData.do

Alerts

번호 is highly overall correlated with 시군구High correlation
시군구 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique
야영장 명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:04:27.291499
Analysis finished2023-12-12 03:04:28.044461
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.5
Minimum1
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T12:04:28.154527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.85
Q165.25
median129.5
Q3193.75
95-th percentile245.15
Maximum258
Range257
Interquartile range (IQR)128.5

Descriptive statistics

Standard deviation74.622383
Coefficient of variation (CV)0.57623462
Kurtosis-1.2
Mean129.5
Median Absolute Deviation (MAD)64.5
Skewness0
Sum33411
Variance5568.5
MonotonicityStrictly increasing
2023-12-12T12:04:28.370675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
195 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
Other values (248) 248
96.1%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%

시군구
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
제천시
81 
충주시
40 
괴산군
38 
단양군
29 
청주시
19 
Other values (6)
51 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
제천시 81
31.4%
충주시 40
15.5%
괴산군 38
14.7%
단양군 29
 
11.2%
청주시 19
 
7.4%
보은군 17
 
6.6%
영동군 12
 
4.7%
진천군 11
 
4.3%
옥천군 5
 
1.9%
음성군 5
 
1.9%

Length

2023-12-12T12:04:28.568106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제천시 81
31.4%
충주시 40
15.5%
괴산군 38
14.7%
단양군 29
 
11.2%
청주시 19
 
7.4%
보은군 17
 
6.6%
영동군 12
 
4.7%
진천군 11
 
4.3%
옥천군 5
 
1.9%
음성군 5
 
1.9%

야영장 명칭
Text

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T12:04:28.875004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.0271318
Min length2

Characters and Unicode

Total characters2071
Distinct characters357
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique258 ?
Unique (%)100.0%

Sample

1st row씨앗골 캠핑장
2nd row청주시 문암생태공원 캠핑장
3rd row청주키즈캠핑장
4th row와우키즈랜드 야영장
5th row금관숲캠핑장
ValueCountFrequency (%)
캠핑장 23
 
6.3%
야영장 10
 
2.7%
오토캠핑장 6
 
1.6%
월악산국립공원 4
 
1.1%
글램핑 4
 
1.1%
어게인캠핑 3
 
0.8%
국민여가캠핑장 3
 
0.8%
제천 3
 
0.8%
청주시 3
 
0.8%
camp 2
 
0.5%
Other values (299) 304
83.3%
2023-12-12T12:04:29.510611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
핑 172
 
8.3%
장 165
 
8.0%
캠 165
 
8.0%
107
 
5.2%
오 43
 
2.1%
토 37
 
1.8%
야 32
 
1.5%
영 29
 
1.4%
리 27
 
1.3%
산 26
 
1.3%
Other values (347) 1268
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1883
90.9%
Space Separator 107
 
5.2%
Uppercase Letter 32
 
1.5%
Lowercase Letter 16
 
0.8%
Decimal Number 14
 
0.7%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%
Other Punctuation 4
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
핑 172
 
9.1%
장 165
 
8.8%
캠 165
 
8.8%
오 43
 
2.3%
토 37
 
2.0%
야 32
 
1.7%
영 29
 
1.5%
리 27
 
1.4%
산 26
 
1.4%
천 25
 
1.3%
Other values (304) 1162
61.7%
Uppercase Letter
ValueCountFrequency (%)
A 5
15.6%
C 5
15.6%
P 2
 
6.2%
M 2
 
6.2%
O 2
 
6.2%
F 2
 
6.2%
L 2
 
6.2%
E 2
 
6.2%
T 2
 
6.2%
B 1
 
3.1%
Other values (7) 7
21.9%
Lowercase Letter
ValueCountFrequency (%)
e 3
18.8%
a 2
12.5%
l 1
 
6.2%
o 1
 
6.2%
r 1
 
6.2%
s 1
 
6.2%
i 1
 
6.2%
p 1
 
6.2%
h 1
 
6.2%
m 1
 
6.2%
Other values (3) 3
18.8%
Decimal Number
ValueCountFrequency (%)
2 4
28.6%
5 2
14.3%
0 2
14.3%
1 2
14.3%
6 2
14.3%
9 1
 
7.1%
8 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
! 1
 
25.0%
Space Separator
ValueCountFrequency (%)
107
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1883
90.9%
Common 139
 
6.7%
Latin 49
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
핑 172
 
9.1%
장 165
 
8.8%
캠 165
 
8.8%
오 43
 
2.3%
토 37
 
2.0%
야 32
 
1.7%
영 29
 
1.5%
리 27
 
1.4%
산 26
 
1.4%
천 25
 
1.3%
Other values (304) 1162
61.7%
Latin
ValueCountFrequency (%)
A 5
 
10.2%
C 5
 
10.2%
e 3
 
6.1%
P 2
 
4.1%
M 2
 
4.1%
a 2
 
4.1%
O 2
 
4.1%
F 2
 
4.1%
L 2
 
4.1%
E 2
 
4.1%
Other values (21) 22
44.9%
Common
ValueCountFrequency (%)
107
77.0%
( 7
 
5.0%
) 7
 
5.0%
2 4
 
2.9%
& 3
 
2.2%
5 2
 
1.4%
0 2
 
1.4%
1 2
 
1.4%
6 2
 
1.4%
9 1
 
0.7%
Other values (2) 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1883
90.9%
ASCII 187
 
9.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
핑 172
 
9.1%
장 165
 
8.8%
캠 165
 
8.8%
오 43
 
2.3%
토 37
 
2.0%
야 32
 
1.7%
영 29
 
1.5%
리 27
 
1.4%
산 26
 
1.4%
천 25
 
1.3%
Other values (304) 1162
61.7%
ASCII
ValueCountFrequency (%)
107
57.2%
( 7
 
3.7%
) 7
 
3.7%
A 5
 
2.7%
C 5
 
2.7%
2 4
 
2.1%
& 3
 
1.6%
e 3
 
1.6%
P 2
 
1.1%
M 2
 
1.1%
Other values (32) 42
 
22.5%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

소재지
Text

Distinct256
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T12:04:29.935859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length22.472868
Min length16

Characters and Unicode

Total characters5798
Distinct characters208
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique254 ?
Unique (%)98.4%

Sample

1st row충청북도 청주시 상당구 낭성면 호정대신로 69-34
2nd row충청북도 청주시 흥덕구 원평동 76-1
3rd row충청북도 청주시 상당구 낭성면 갈산1길 19
4th row충청북도 청주시 청원구 내수읍 내수로 457
5th row충청북도 청주시 상당구 미원면 운암계원로 628
ValueCountFrequency (%)
충청북도 257
 
19.5%
제천시 80
 
6.1%
충주시 40
 
3.0%
괴산군 36
 
2.7%
단양군 29
 
2.2%
봉양읍 22
 
1.7%
청주시 19
 
1.4%
백운면 19
 
1.4%
청천면 17
 
1.3%
보은군 17
 
1.3%
Other values (508) 782
59.3%
2023-12-12T12:04:30.609346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1095
 
18.9%
청 317
 
5.5%
충 304
 
5.2%
도 270
 
4.7%
북 262
 
4.5%
면 203
 
3.5%
1 195
 
3.4%
시 140
 
2.4%
2 134
 
2.3%
천 126
 
2.2%
Other values (198) 2752
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3588
61.9%
Space Separator 1095
 
18.9%
Decimal Number 969
 
16.7%
Dash Punctuation 125
 
2.2%
Other Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 317
 
8.8%
충 304
 
8.5%
도 270
 
7.5%
북 262
 
7.3%
면 203
 
5.7%
시 140
 
3.9%
천 126
 
3.5%
군 117
 
3.3%
로 114
 
3.2%
산 103
 
2.9%
Other values (183) 1632
45.5%
Decimal Number
ValueCountFrequency (%)
1 195
20.1%
2 134
13.8%
3 102
10.5%
4 84
8.7%
6 82
8.5%
5 82
8.5%
9 77
 
7.9%
0 75
 
7.7%
8 72
 
7.4%
7 66
 
6.8%
Space Separator
ValueCountFrequency (%)
1095
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3588
61.9%
Common 2210
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 317
 
8.8%
충 304
 
8.5%
도 270
 
7.5%
북 262
 
7.3%
면 203
 
5.7%
시 140
 
3.9%
천 126
 
3.5%
군 117
 
3.3%
로 114
 
3.2%
산 103
 
2.9%
Other values (183) 1632
45.5%
Common
ValueCountFrequency (%)
1095
49.5%
1 195
 
8.8%
2 134
 
6.1%
- 125
 
5.7%
3 102
 
4.6%
4 84
 
3.8%
6 82
 
3.7%
5 82
 
3.7%
9 77
 
3.5%
0 75
 
3.4%
Other values (5) 159
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3588
61.9%
ASCII 2210
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1095
49.5%
1 195
 
8.8%
2 134
 
6.1%
- 125
 
5.7%
3 102
 
4.6%
4 84
 
3.8%
6 82
 
3.7%
5 82
 
3.7%
9 77
 
3.5%
0 75
 
3.4%
Other values (5) 159
 
7.2%
Hangul
ValueCountFrequency (%)
청 317
 
8.8%
충 304
 
8.5%
도 270
 
7.5%
북 262
 
7.3%
면 203
 
5.7%
시 140
 
3.9%
천 126
 
3.5%
군 117
 
3.3%
로 114
 
3.2%
산 103
 
2.9%
Other values (183) 1632
45.5%

Interactions

2023-12-12T12:04:27.697403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:04:30.765159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시군구
번호1.0000.857
시군구0.8571.000
2023-12-12T12:04:30.890601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시군구
번호1.0000.590
시군구0.5901.000

Missing values

2023-12-12T12:04:27.870245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:04:27.996053image/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

번호시군구야영장 명칭소재지
01청주시씨앗골 캠핑장충청북도 청주시 상당구 낭성면 호정대신로 69-34
12청주시청주시 문암생태공원 캠핑장충청북도 청주시 흥덕구 원평동 76-1
23청주시청주키즈캠핑장충청북도 청주시 상당구 낭성면 갈산1길 19
34청주시와우키즈랜드 야영장충청북도 청주시 청원구 내수읍 내수로 457
45청주시금관숲캠핑장충청북도 청주시 상당구 미원면 운암계원로 628
56청주시벨루아캠핑장충청북도 청주시 청원구 오창읍 성산2길 196-40
67청주시멍글멍글 펫 글램핑충청북도 청주시 청원구 오창읍 백현리 193-21 외 1필지
78청주시낭추골캠핑장충청북도 청주시 상당구 낭성면 단재로 1890
89청주시아이프로방스충청북도 청주시 상당구 미원면 남부로 6774
910청주시더오창호충청북도 청주시 청원구 오창읍 성산리 620-1
번호시군구야영장 명칭소재지
248249단양군노동오토캠핑장충청북도 단양군 단양읍 단양노동길 2-5
249250단양군포시즌충청북도 단양군 가곡면 남한강로 1117
250251단양군천동오토캠핑장(상)충청북도 단양군 단양읍 다리안로 528-10
251252단양군소선암오토캠핑장충청북도 단양군 단성면 선암계곡로 1656
252253단양군대강오토캠핑장충청북도 단양군 대강면 두음리 564-1
253254단양군소백산오토캠핑장충청북도 단양군 가곡면 새밭로 380
254255단양군단양무지개오토캠핑장충청북도 단양군 가곡면 가대1길 84-7
255256단양군소백산신선펜션&캠핑충청북도 단양군 가곡면 새밭로 474
256257단양군을전56오토캠핑장충청북도 단양군 가곡면 을전길 56-1
257258단양군하선암카라반야영장충청북도 단양군 선암계곡로 1369-1