Overview

Dataset statistics

Number of variables12
Number of observations1653
Missing cells2126
Missing cells (%)10.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory159.9 KiB
Average record size in memory99.1 B

Variable types

Numeric3
Text5
DateTime1
Categorical3

Dataset

Description경상남도 관광 정보 현황으로, 관광지명, 주소, 지도의 위도 및 경도 좌표, 전화번호, 홈페이지, 담당기관 등에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3065515/fileData.do

Alerts

2차분류 is highly overall correlated with 1차분류High correlation
1차분류 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
번호 is highly overall correlated with 1차분류High correlation
지도 x좌표 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 지도 x좌표High correlation
지도 x좌표 has 167 (10.1%) missing valuesMissing
지도 y좌표 has 167 (10.1%) missing valuesMissing
전화번호 has 183 (11.1%) missing valuesMissing
홈페이지주소(URL) has 1409 (85.2%) missing valuesMissing
담당기관 has 200 (12.1%) missing valuesMissing
지도 y좌표 is highly skewed (γ1 = -36.98080331)Skewed
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:50:14.051826
Analysis finished2023-12-12 12:50:16.625859
Duration2.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1653
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean827
Minimum1
Maximum1653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.7 KiB
2023-12-12T21:50:16.712227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile83.6
Q1414
median827
Q31240
95-th percentile1570.4
Maximum1653
Range1652
Interquartile range (IQR)826

Descriptive statistics

Standard deviation477.32431
Coefficient of variation (CV)0.57717571
Kurtosis-1.2
Mean827
Median Absolute Deviation (MAD)413
Skewness0
Sum1367031
Variance227838.5
MonotonicityStrictly increasing
2023-12-12T21:50:17.185658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1100 1
 
0.1%
1110 1
 
0.1%
1109 1
 
0.1%
1108 1
 
0.1%
1107 1
 
0.1%
1106 1
 
0.1%
1105 1
 
0.1%
1104 1
 
0.1%
1103 1
 
0.1%
Other values (1643) 1643
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1653 1
0.1%
1652 1
0.1%
1651 1
0.1%
1650 1
0.1%
1649 1
0.1%
1648 1
0.1%
1647 1
0.1%
1646 1
0.1%
1645 1
0.1%
1644 1
0.1%

관광지명
Text

Distinct1608
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2023-12-12T21:50:17.513975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length6.76951
Min length2

Characters and Unicode

Total characters11190
Distinct characters549
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1564 ?
Unique (%)94.6%

Sample

1st row거제 송구영신 소망길 장승포항 야경
2nd row남해 설리해수욕장
3rd row창원 광암해수욕장
4th row고성 만화방초
5th row양산 물금 서리단길
ValueCountFrequency (%)
창녕 49
 
2.0%
합천 46
 
1.9%
하동 39
 
1.6%
통도사 22
 
0.9%
통영 21
 
0.9%
거제 21
 
0.9%
창원 21
 
0.9%
남해 19
 
0.8%
사천 18
 
0.7%
17
 
0.7%
Other values (1801) 2185
88.9%
2023-12-12T21:50:18.023211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
967
 
8.6%
산 391
 
3.5%
사 289
 
2.6%
원 217
 
1.9%
천 188
 
1.7%
지 187
 
1.7%
리 185
 
1.7%
도 179
 
1.6%
동 154
 
1.4%
대 152
 
1.4%
Other values (539) 8281
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9967
89.1%
Space Separator 969
 
8.7%
Close Punctuation 58
 
0.5%
Open Punctuation 58
 
0.5%
Decimal Number 48
 
0.4%
Other Punctuation 32
 
0.3%
Lowercase Letter 22
 
0.2%
Dash Punctuation 13
 
0.1%
Math Symbol 12
 
0.1%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 391
 
3.9%
사 289
 
2.9%
원 217
 
2.2%
천 188
 
1.9%
지 187
 
1.9%
리 185
 
1.9%
도 179
 
1.8%
동 154
 
1.5%
대 152
 
1.5%
성 140
 
1.4%
Other values (498) 7885
79.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
13.6%
a 2
9.1%
c 2
9.1%
o 2
9.1%
n 2
9.1%
l 2
9.1%
k 2
9.1%
m 2
9.1%
t 1
 
4.5%
g 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
1 13
27.1%
3 11
22.9%
5 9
18.8%
2 7
14.6%
4 3
 
6.2%
7 2
 
4.2%
6 2
 
4.2%
9 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 11
34.4%
/ 7
21.9%
. 6
18.8%
· 6
18.8%
: 2
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
C 4
40.0%
H 2
20.0%
G 2
20.0%
Y 1
 
10.0%
T 1
 
10.0%
Space Separator
ValueCountFrequency (%)
967
99.8%
　 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 49
84.5%
] 9
 
15.5%
Open Punctuation
ValueCountFrequency (%)
( 49
84.5%
[ 9
 
15.5%
Math Symbol
ValueCountFrequency (%)
~ 10
83.3%
+ 2
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9966
89.1%
Common 1190
 
10.6%
Latin 32
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 391
 
3.9%
사 289
 
2.9%
원 217
 
2.2%
천 188
 
1.9%
지 187
 
1.9%
리 185
 
1.9%
도 179
 
1.8%
동 154
 
1.5%
대 152
 
1.5%
성 140
 
1.4%
Other values (497) 7884
79.1%
Common
ValueCountFrequency (%)
967
81.3%
) 49
 
4.1%
( 49
 
4.1%
- 13
 
1.1%
1 13
 
1.1%
3 11
 
0.9%
, 11
 
0.9%
~ 10
 
0.8%
] 9
 
0.8%
[ 9
 
0.8%
Other values (12) 49
 
4.1%
Latin
ValueCountFrequency (%)
C 4
12.5%
e 3
 
9.4%
a 2
 
6.2%
c 2
 
6.2%
H 2
 
6.2%
G 2
 
6.2%
o 2
 
6.2%
n 2
 
6.2%
l 2
 
6.2%
k 2
 
6.2%
Other values (8) 9
28.1%
Han
ValueCountFrequency (%)
徐 1
50.0%
愛 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9965
89.1%
ASCII 1214
 
10.8%
None 9
 
0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
967
79.7%
) 49
 
4.0%
( 49
 
4.0%
- 13
 
1.1%
1 13
 
1.1%
3 11
 
0.9%
, 11
 
0.9%
~ 10
 
0.8%
] 9
 
0.7%
[ 9
 
0.7%
Other values (28) 73
 
6.0%
Hangul
ValueCountFrequency (%)
산 391
 
3.9%
사 289
 
2.9%
원 217
 
2.2%
천 188
 
1.9%
지 187
 
1.9%
리 185
 
1.9%
도 179
 
1.8%
동 154
 
1.5%
대 152
 
1.5%
성 140
 
1.4%
Other values (496) 7883
79.1%
None
ValueCountFrequency (%)
· 6
66.7%
　 2
 
22.2%
㈜ 1
 
11.1%
CJK
ValueCountFrequency (%)
徐 1
50.0%
愛 1
50.0%

주소
Text

Distinct1432
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2023-12-12T21:50:18.360727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length33
Mean length16.190563
Min length3

Characters and Unicode

Total characters26763
Distinct characters352
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1303 ?
Unique (%)78.8%

Sample

1st row경상남도 거제시 장승포해안로 9 (장승포동)
2nd row경상남도 남해군 미조면 미송로303번길 48-1
3rd row경상남도 창원시 마산합포구 진동면 광암해안길 117-22
4th row경상남도 고성군 거류면 은황길 82-91
5th row경남 양산시 물금읍 물금리 841-13
ValueCountFrequency (%)
경상남도 341
 
5.3%
창원시 188
 
2.9%
경남 154
 
2.4%
거제시 132
 
2.0%
양산시 121
 
1.9%
통영시 119
 
1.8%
하동군 97
 
1.5%
산청군 92
 
1.4%
사천시 91
 
1.4%
밀양시 89
 
1.4%
Other values (2064) 5069
78.1%
2023-12-12T21:50:18.871844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4849
 
18.1%
면 1091
 
4.1%
시 922
 
3.4%
1 813
 
3.0%
군 770
 
2.9%
남 726
 
2.7%
산 688
 
2.6%
로 599
 
2.2%
길 547
 
2.0%
2 539
 
2.0%
Other values (342) 15219
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17663
66.0%
Space Separator 4849
 
18.1%
Decimal Number 3723
 
13.9%
Dash Punctuation 360
 
1.3%
Close Punctuation 61
 
0.2%
Open Punctuation 61
 
0.2%
Other Punctuation 39
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 1091
 
6.2%
시 922
 
5.2%
군 770
 
4.4%
남 726
 
4.1%
산 688
 
3.9%
로 599
 
3.4%
길 547
 
3.1%
동 529
 
3.0%
경 517
 
2.9%
도 457
 
2.6%
Other values (320) 10817
61.2%
Decimal Number
ValueCountFrequency (%)
1 813
21.8%
2 539
14.5%
3 408
11.0%
5 329
8.8%
4 303
 
8.1%
6 295
 
7.9%
8 294
 
7.9%
7 270
 
7.3%
0 256
 
6.9%
9 216
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 28
71.8%
· 4
 
10.3%
/ 3
 
7.7%
: 2
 
5.1%
. 2
 
5.1%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
∼ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
4849
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 360
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17662
66.0%
Common 9097
34.0%
Latin 3
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 1091
 
6.2%
시 922
 
5.2%
군 770
 
4.4%
남 726
 
4.1%
산 688
 
3.9%
로 599
 
3.4%
길 547
 
3.1%
동 529
 
3.0%
경 517
 
2.9%
도 457
 
2.6%
Other values (319) 10816
61.2%
Common
ValueCountFrequency (%)
4849
53.3%
1 813
 
8.9%
2 539
 
5.9%
3 408
 
4.5%
- 360
 
4.0%
5 329
 
3.6%
4 303
 
3.3%
6 295
 
3.2%
8 294
 
3.2%
7 270
 
3.0%
Other values (11) 637
 
7.0%
Latin
ValueCountFrequency (%)
m 3
100.0%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17662
66.0%
ASCII 9095
34.0%
None 4
 
< 0.1%
CJK 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4849
53.3%
1 813
 
8.9%
2 539
 
5.9%
3 408
 
4.5%
- 360
 
4.0%
5 329
 
3.6%
4 303
 
3.3%
6 295
 
3.2%
8 294
 
3.2%
7 270
 
3.0%
Other values (10) 635
 
7.0%
Hangul
ValueCountFrequency (%)
면 1091
 
6.2%
시 922
 
5.2%
군 770
 
4.4%
남 726
 
4.1%
산 688
 
3.9%
로 599
 
3.4%
길 547
 
3.1%
동 529
 
3.0%
경 517
 
2.9%
도 457
 
2.6%
Other values (319) 10816
61.2%
None
ValueCountFrequency (%)
· 4
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

지도 x좌표
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1333
Distinct (%)89.7%
Missing167
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean35.235134
Minimum34.54202
Maximum38.47081
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.7 KiB
2023-12-12T21:50:19.036070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.54202
5-th percentile34.753038
Q134.987755
median35.243632
Q335.452697
95-th percentile35.721398
Maximum38.47081
Range3.92879
Interquartile range (IQR)0.46494225

Descriptive statistics

Standard deviation0.31277574
Coefficient of variation (CV)0.0088768141
Kurtosis12.973064
Mean35.235134
Median Absolute Deviation (MAD)0.226035
Skewness1.3035365
Sum52359.41
Variance0.097828661
MonotonicityNot monotonic
2023-12-12T21:50:19.199208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.48795 27
 
1.6%
35.8013 10
 
0.6%
35.18848 7
 
0.4%
35.17614 6
 
0.4%
34.95862 6
 
0.4%
35.06721 5
 
0.3%
34.71432 5
 
0.3%
35.08039 5
 
0.3%
35.19078 4
 
0.2%
35.23262 4
 
0.2%
Other values (1323) 1407
85.1%
(Missing) 167
 
10.1%
ValueCountFrequency (%)
34.54202 2
0.1%
34.55941 1
0.1%
34.56303 2
0.1%
34.56876 1
0.1%
34.61936 1
0.1%
34.62218 2
0.1%
34.62726 1
0.1%
34.62919416 1
0.1%
34.63534 1
0.1%
34.63547 1
0.1%
ValueCountFrequency (%)
38.47081 1
0.1%
38.33404 1
0.1%
36.21088 1
0.1%
35.89407 1
0.1%
35.87811 1
0.1%
35.8616 1
0.1%
35.85337 1
0.1%
35.83472 1
0.1%
35.82156 1
0.1%
35.81379 1
0.1%

지도 y좌표
Real number (ℝ)

MISSING  SKEWED 

Distinct1278
Distinct (%)86.0%
Missing167
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean128.27278
Minimum35.23241
Maximum129.2117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.7 KiB
2023-12-12T21:50:19.369615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.23241
5-th percentile127.71593
Q1128.00029
median128.34285
Q3128.66053
95-th percentile129.04285
Maximum129.2117
Range93.97929
Interquartile range (IQR)0.66023383

Descriptive statistics

Standard deviation2.4488121
Coefficient of variation (CV)0.01909066
Kurtosis1405.9345
Mean128.27278
Median Absolute Deviation (MAD)0.32355
Skewness-36.980803
Sum190613.35
Variance5.9966807
MonotonicityNot monotonic
2023-12-12T21:50:19.543246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0643 28
 
1.7%
128.0976 10
 
0.6%
128.076 7
 
0.4%
127.6504 6
 
0.4%
128.7175 6
 
0.4%
128.1535 6
 
0.4%
128.5583 5
 
0.3%
127.7513 5
 
0.3%
128.2624 5
 
0.3%
127.8104 4
 
0.2%
Other values (1268) 1404
84.9%
(Missing) 167
 
10.1%
ValueCountFrequency (%)
35.23241 1
0.1%
127.5957 1
0.1%
127.6070647 1
0.1%
127.609 2
0.1%
127.6191 1
0.1%
127.6228363 1
0.1%
127.6239 1
0.1%
127.6240666 1
0.1%
127.627 1
0.1%
127.6297 1
0.1%
ValueCountFrequency (%)
129.2117 1
0.1%
129.2104 1
0.1%
129.2061651 1
0.1%
129.1792 1
0.1%
129.1758003 1
0.1%
129.1757 1
0.1%
129.1667 1
0.1%
129.1517 1
0.1%
129.1365 1
0.1%
129.1312 1
0.1%

전화번호
Text

MISSING 

Distinct325
Distinct (%)22.1%
Missing183
Missing (%)11.1%
Memory size13.0 KiB
2023-12-12T21:50:19.772962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.001361
Min length9

Characters and Unicode

Total characters17642
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

Unique265 ?
Unique (%)18.0%

Sample

1st row055-639-4179
2nd row055-860-3073
3rd row055-225-6861
4th row055-392-3233
5th row055-863-4025
ValueCountFrequency (%)
055-225-3691 106
 
7.2%
055-392-3233 96
 
6.5%
055-650-4613 87
 
5.9%
055-970-6421 74
 
5.0%
055-359-5644 63
 
4.3%
055-960-5555 61
 
4.1%
055-670-2201 59
 
4.0%
055-940-3410 55
 
3.7%
055-749-5086 54
 
3.7%
055-570-2400 50
 
3.4%
Other values (315) 765
52.0%
2023-12-12T21:50:20.157102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3938
22.3%
- 2936
16.6%
0 2922
16.6%
3 1602
9.1%
2 1125
 
6.4%
6 1004
 
5.7%
1 976
 
5.5%
4 973
 
5.5%
9 860
 
4.9%
8 684
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14706
83.4%
Dash Punctuation 2936
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3938
26.8%
0 2922
19.9%
3 1602
10.9%
2 1125
 
7.6%
6 1004
 
6.8%
1 976
 
6.6%
4 973
 
6.6%
9 860
 
5.8%
8 684
 
4.7%
7 622
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 2936
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17642
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3938
22.3%
- 2936
16.6%
0 2922
16.6%
3 1602
9.1%
2 1125
 
6.4%
6 1004
 
5.7%
1 976
 
5.5%
4 973
 
5.5%
9 860
 
4.9%
8 684
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17642
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3938
22.3%
- 2936
16.6%
0 2922
16.6%
3 1602
9.1%
2 1125
 
6.4%
6 1004
 
5.7%
1 976
 
5.5%
4 973
 
5.5%
9 860
 
4.9%
8 684
 
3.9%

홈페이지주소(URL)
Text

MISSING 

Distinct199
Distinct (%)81.6%
Missing1409
Missing (%)85.2%
Memory size13.0 KiB
2023-12-12T21:50:20.484598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length55
Mean length32.258197
Min length16

Characters and Unicode

Total characters7871
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)78.3%

Sample

1st rowhttps://blog.naver.com/man-hwa
2nd rowhttps://www.namhae.go.kr/tour/00917/00022/00146.web
3rd rowhttps://www.ghhanok.or.kr
4th rowhttps://www.foresttrip.go.kr/indvz/main.do?hmpgId=ID02030015
5th rowhttp://www.farmgw.kr/
ValueCountFrequency (%)
http://culture.changwon.go.kr 37
 
15.2%
http://www.haeinsa.or.kr 3
 
1.2%
http://www.yangsan.go.kr/museum/main.do 3
 
1.2%
http://www.bujae.com 2
 
0.8%
http://www.edenvalley.co.kr 2
 
0.8%
http://www.laon21.co.kr 2
 
0.8%
http://315.mpva.go.kr 2
 
0.8%
http://www.uram.co.kr/new/center.php 2
 
0.8%
http://junam.changwon.go.kr 2
 
0.8%
http://nammyung.org 2
 
0.8%
Other values (186) 187
76.6%
2023-12-12T21:50:20.994725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 731
 
9.3%
. 715
 
9.1%
t 650
 
8.3%
w 517
 
6.6%
o 472
 
6.0%
r 400
 
5.1%
h 392
 
5.0%
n 340
 
4.3%
p 315
 
4.0%
a 312
 
4.0%
Other values (45) 3027
38.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5676
72.1%
Other Punctuation 1716
 
21.8%
Decimal Number 387
 
4.9%
Uppercase Letter 37
 
0.5%
Math Symbol 25
 
0.3%
Connector Punctuation 18
 
0.2%
Dash Punctuation 12
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 650
 
11.5%
w 517
 
9.1%
o 472
 
8.3%
r 400
 
7.0%
h 392
 
6.9%
n 340
 
6.0%
p 315
 
5.5%
a 312
 
5.5%
g 310
 
5.5%
c 269
 
4.7%
Other values (16) 1699
29.9%
Uppercase Letter
ValueCountFrequency (%)
I 17
45.9%
D 6
 
16.2%
M 3
 
8.1%
R 2
 
5.4%
B 2
 
5.4%
S 2
 
5.4%
P 1
 
2.7%
C 1
 
2.7%
O 1
 
2.7%
T 1
 
2.7%
Decimal Number
ValueCountFrequency (%)
0 176
45.5%
1 45
 
11.6%
2 31
 
8.0%
3 30
 
7.8%
4 20
 
5.2%
6 20
 
5.2%
5 20
 
5.2%
8 20
 
5.2%
9 16
 
4.1%
7 9
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 731
42.6%
. 715
41.7%
: 244
 
14.2%
? 17
 
1.0%
& 9
 
0.5%
Math Symbol
ValueCountFrequency (%)
= 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5713
72.6%
Common 2158
 
27.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 650
 
11.4%
w 517
 
9.0%
o 472
 
8.3%
r 400
 
7.0%
h 392
 
6.9%
n 340
 
6.0%
p 315
 
5.5%
a 312
 
5.5%
g 310
 
5.4%
c 269
 
4.7%
Other values (27) 1736
30.4%
Common
ValueCountFrequency (%)
/ 731
33.9%
. 715
33.1%
: 244
 
11.3%
0 176
 
8.2%
1 45
 
2.1%
2 31
 
1.4%
3 30
 
1.4%
= 25
 
1.2%
4 20
 
0.9%
6 20
 
0.9%
Other values (8) 121
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7871
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 731
 
9.3%
. 715
 
9.1%
t 650
 
8.3%
w 517
 
6.6%
o 472
 
6.0%
r 400
 
5.1%
h 392
 
5.0%
n 340
 
4.3%
p 315
 
4.0%
a 312
 
4.0%
Other values (45) 3027
38.5%

등록일
Date

Distinct102
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Minimum2006-02-06 00:00:00
Maximum2023-06-22 00:00:00
2023-12-12T21:50:21.191729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:21.351344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지역
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
창원시
192 
거제시
133 
통영시
123 
양산시
122 
하동군
 
96
Other values (13)
987 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row거제시
2nd row남해군
3rd row창원시
4th row고성군
5th row양산시

Common Values

ValueCountFrequency (%)
창원시 192
 
11.6%
거제시 133
 
8.0%
통영시 123
 
7.4%
양산시 122
 
7.4%
하동군 96
 
5.8%
사천시 92
 
5.6%
산청군 91
 
5.5%
밀양시 89
 
5.4%
합천군 82
 
5.0%
거창군 80
 
4.8%
Other values (8) 553
33.5%

Length

2023-12-12T21:50:21.502400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 192
 
11.6%
거제시 133
 
8.0%
통영시 123
 
7.4%
양산시 122
 
7.4%
하동군 96
 
5.8%
사천시 92
 
5.6%
산청군 91
 
5.5%
밀양시 89
 
5.4%
합천군 82
 
5.0%
거창군 80
 
4.8%
Other values (8) 553
33.5%

1차분류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
문화관광
879 
자연관광
403 
미분류
260 
레저관광
111 

Length

Max length4
Median length4
Mean length3.8427102
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자연관광
2nd row자연관광
3rd row자연관광
4th row자연관광
5th row문화관광

Common Values

ValueCountFrequency (%)
문화관광 879
53.2%
자연관광 403
24.4%
미분류 260
 
15.7%
레저관광 111
 
6.7%

Length

2023-12-12T21:50:21.640740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:50:21.789996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화관광 879
53.2%
자연관광 403
24.4%
미분류 260
 
15.7%
레저관광 111
 
6.7%

2차분류
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
기념물
444 
미분류
260 
산과계곡
223 
사찰과건축물
179 
섬과바다
88 
Other values (16)
459 

Length

Max length8
Median length7
Mean length4.2710224
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row섬과바다
2nd row섬과바다
3rd row섬과바다
4th row자연공원
5th row박물관과문화채널

Common Values

ValueCountFrequency (%)
기념물 444
26.9%
미분류 260
15.7%
산과계곡 223
13.5%
사찰과건축물 179
10.8%
섬과바다 88
 
5.3%
박물관과문화채널 88
 
5.3%
공원과유원지 64
 
3.9%
문화체험장 44
 
2.7%
다리와도로 44
 
2.7%
낚시 35
 
2.1%
Other values (11) 184
11.1%

Length

2023-12-12T21:50:21.959651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기념물 444
26.9%
미분류 260
15.7%
산과계곡 223
13.5%
사찰과건축물 179
10.8%
섬과바다 88
 
5.3%
박물관과문화채널 88
 
5.3%
공원과유원지 64
 
3.9%
문화체험장 44
 
2.7%
다리와도로 44
 
2.7%
낚시 35
 
2.1%
Other values (11) 184
11.1%

담당기관
Text

MISSING 

Distinct159
Distinct (%)10.9%
Missing200
Missing (%)12.1%
Memory size13.0 KiB
2023-12-12T21:50:22.186633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length9
Mean length7.9098417
Min length3

Characters and Unicode

Total characters11493
Distinct characters221
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)7.0%

Sample

1st row거제시
2nd row남해군
3rd row창원시
4th row만화방초
5th row양산시
ValueCountFrequency (%)
문화관광과 559
21.7%
관광과 182
 
7.1%
창원시 163
 
6.3%
관광진흥과 111
 
4.3%
양산시 106
 
4.1%
거제시 105
 
4.1%
통영시 102
 
4.0%
산청군 81
 
3.1%
하동군 80
 
3.1%
사천시 73
 
2.8%
Other values (148) 1013
39.3%
2023-12-12T21:50:22.573264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1122
 
9.8%
관 1064
 
9.3%
과 1027
 
8.9%
광 1003
 
8.7%
화 767
 
6.7%
문 764
 
6.6%
시 755
 
6.6%
군 625
 
5.4%
창 288
 
2.5%
양 259
 
2.3%
Other values (211) 3819
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10264
89.3%
Space Separator 1122
 
9.8%
Decimal Number 63
 
0.5%
Dash Punctuation 13
 
0.1%
Open Punctuation 10
 
0.1%
Close Punctuation 10
 
0.1%
Other Punctuation 10
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 1064
 
10.4%
과 1027
 
10.0%
광 1003
 
9.8%
화 767
 
7.5%
문 764
 
7.4%
시 755
 
7.4%
군 625
 
6.1%
창 288
 
2.8%
양 259
 
2.5%
산 217
 
2.1%
Other values (193) 3495
34.1%
Decimal Number
ValueCountFrequency (%)
5 14
22.2%
0 11
17.5%
1 10
15.9%
3 8
12.7%
9 7
11.1%
4 5
 
7.9%
7 4
 
6.3%
2 3
 
4.8%
8 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
/ 5
50.0%
, 3
30.0%
. 1
 
10.0%
& 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10264
89.3%
Common 1228
 
10.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 1064
 
10.4%
과 1027
 
10.0%
광 1003
 
9.8%
화 767
 
7.5%
문 764
 
7.4%
시 755
 
7.4%
군 625
 
6.1%
창 288
 
2.8%
양 259
 
2.5%
산 217
 
2.1%
Other values (193) 3495
34.1%
Common
ValueCountFrequency (%)
1122
91.4%
5 14
 
1.1%
- 13
 
1.1%
0 11
 
0.9%
( 10
 
0.8%
1 10
 
0.8%
) 10
 
0.8%
3 8
 
0.7%
9 7
 
0.6%
/ 5
 
0.4%
Other values (7) 18
 
1.5%
Latin
ValueCountFrequency (%)
K 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10264
89.3%
ASCII 1229
 
10.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1122
91.3%
5 14
 
1.1%
- 13
 
1.1%
0 11
 
0.9%
( 10
 
0.8%
1 10
 
0.8%
) 10
 
0.8%
3 8
 
0.7%
9 7
 
0.6%
/ 5
 
0.4%
Other values (8) 19
 
1.5%
Hangul
ValueCountFrequency (%)
관 1064
 
10.4%
과 1027
 
10.0%
광 1003
 
9.8%
화 767
 
7.5%
문 764
 
7.4%
시 755
 
7.4%
군 625
 
6.1%
창 288
 
2.8%
양 259
 
2.5%
산 217
 
2.1%
Other values (193) 3495
34.1%

Interactions

2023-12-12T21:50:15.791481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:15.087501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:15.438574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:15.884911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:15.212134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:15.553723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:15.995480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:15.346416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:15.690863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:50:22.690474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호지도 x좌표지도 y좌표지역1차분류2차분류
번호1.0000.2360.0000.5830.7380.817
지도 x좌표0.2361.0000.0000.9150.2050.464
지도 y좌표0.0000.0001.0000.0000.0000.000
지역0.5830.9150.0001.0000.4050.518
1차분류0.7380.2050.0000.4051.0001.000
2차분류0.8170.4640.0000.5181.0001.000
2023-12-12T21:50:22.800449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역2차분류1차분류
지역1.0000.1770.231
2차분류0.1771.0000.995
1차분류0.2310.9951.000
2023-12-12T21:50:22.893299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호지도 x좌표지도 y좌표지역1차분류2차분류
번호1.000-0.011-0.0760.2660.5440.471
지도 x좌표-0.0111.000-0.0450.6250.1330.228
지도 y좌표-0.076-0.0451.0000.0000.0000.000
지역0.2660.6250.0001.0000.2310.177
1차분류0.5440.1330.0000.2311.0000.995
2차분류0.4710.2280.0000.1770.9951.000

Missing values

2023-12-12T21:50:16.148674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:50:16.385977image/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.
2023-12-12T21:50:16.534967image/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

번호관광지명주소지도 x좌표지도 y좌표전화번호홈페이지주소(URL)등록일지역1차분류2차분류담당기관
01거제 송구영신 소망길 장승포항 야경경상남도 거제시 장승포해안로 9 (장승포동)34.863756128.731282055-639-4179<NA>2023-06-22거제시자연관광섬과바다거제시
12남해 설리해수욕장경상남도 남해군 미조면 미송로303번길 48-134.70752128.026175055-860-3073<NA>2023-06-21남해군자연관광섬과바다남해군
23창원 광암해수욕장경상남도 창원시 마산합포구 진동면 광암해안길 117-2235.102148128.50212055-225-6861<NA>2023-06-21창원시자연관광섬과바다창원시
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45양산 물금 서리단길경남 양산시 물금읍 물금리 841-1335.310566128.984454055-392-3233<NA>2023-06-16양산시문화관광박물관과문화채널양산시
56남해 이순신순국공원경남 남해군 고현면 차면리 84134.915049127.856852055-863-4025https://www.namhae.go.kr/tour/00917/00022/00146.web2023-06-08남해군문화관광공원과유원지남해군
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89김해 진례 대나무숲경상남도 김해시 진례면 서부로 978-9235.219882128.773022055-330-4448<NA>2023-05-02김해시자연관광생태관광김해시
910고성 구절산 폭포암경상남도 고성군 동해면 외곡1길 53535.014646128.419952055-670-2234<NA>2023-05-02고성군문화관광사찰과건축물고성군
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16441645오비도통영시 산양읍 풍화일주로34.81804128.3532055-650-4613<NA>2006-02-06통영시자연관광섬과바다통영시 관광과
16451646염섬남해군 설천면 강진로438번길34.92837127.936055-860-8603<NA>2006-02-06남해군자연관광섬과바다남해군 문화관광과
16461647진섬남해군 설천면 강진로34.9139127.9339055-860-8603<NA>2006-02-06남해군자연관광섬과바다남해군 문화관광과
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16481649노도남해군 상주면 보리암로34.72716127.9399055-860-8603<NA>2006-02-06남해군자연관광섬과바다남해군 문화관광과
16491650세존도남해군 상주면34.56876128.187055-860-8603<NA>2006-02-06남해군자연관광섬과바다남해군 문화관광과
16501651남해 사촌해수욕장경상남도 남해군 남면 남면로1229번길 4434.74149127.8563055-860-3073<NA>2006-02-06남해군자연관광섬과바다남해군
16511652남해 두곡·월포해수욕장경상남도 남해군 남면 남면로111번길 9534.76818127.9076055-860-3073<NA>2006-02-06남해군자연관광섬과바다남해군
16521653남해 상주은모래비치(상주해수욕장)경상남도 남해군 상주면 상주로 17-434.721315127.987827055-860-3073https://sangjubeach.com/2006-02-06남해군자연관광섬과바다남해군