Overview

Dataset statistics

Number of variables19
Number of observations10000
Missing cells19360
Missing cells (%)10.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory165.0 B

Variable types

Numeric4
Categorical8
Text6
DateTime1

Dataset

Description전라남도 관광자원 드론영상 파일 데이터는 전남관광재단(http://www.namdoskyview.or.kr/openapi) 홈페이지에서 관리되는 전라남도 관광/랜드마크/축제 자원 데이터를, 전남관광재단에서 운영하는 데이터 클라우드 서버 에서 고화질 항공영상 다운로드 할 수 있는 다운로드 URL 제공
Author재단법인전라남도관광재단
URLhttps://www.data.go.kr/data/15098245/fileData.do

Alerts

분류1 has constant value ""Constant
추천 has constant value ""Constant
전화 has constant value ""Constant
홈페이지 has constant value ""Constant
시군명 is highly overall correlated with No and 1 other fieldsHigh correlation
코드 is highly overall correlated with No and 1 other fieldsHigh correlation
No is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
대분류코드 is highly overall correlated with 분류2High correlation
분류2 is highly overall correlated with 대분류코드High correlation
소분류 has 8910 (89.1%) missing valuesMissing
소분류코드 has 8681 (86.8%) missing valuesMissing
키워드 has 517 (5.2%) missing valuesMissing
주소 has 1240 (12.4%) missing valuesMissing
No has unique valuesUnique
대분류코드 has 594 (5.9%) zerosZeros

Reproduction

Analysis started2023-12-12 21:42:35.149338
Analysis finished2023-12-12 21:42:39.789142
Duration4.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

No
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5376.1194
Minimum1
Maximum20400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:42:39.879287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile539.95
Q12698.75
median5377.5
Q38045.25
95-th percentile10187.05
Maximum20400
Range20399
Interquartile range (IQR)5346.5

Descriptive statistics

Standard deviation3122.7991
Coefficient of variation (CV)0.58086491
Kurtosis-0.83050809
Mean5376.1194
Median Absolute Deviation (MAD)2673.5
Skewness0.078213241
Sum53761194
Variance9751874.5
MonotonicityNot monotonic
2023-12-13T06:42:40.062744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5681 1
 
< 0.1%
4510 1
 
< 0.1%
4882 1
 
< 0.1%
4044 1
 
< 0.1%
8911 1
 
< 0.1%
5571 1
 
< 0.1%
7285 1
 
< 0.1%
8589 1
 
< 0.1%
9425 1
 
< 0.1%
2894 1
 
< 0.1%
Other values (9990) 9990
99.9%
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%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
ValueCountFrequency (%)
20400 1
< 0.1%
20399 1
< 0.1%
20398 1
< 0.1%
20397 1
< 0.1%
20396 1
< 0.1%
20395 1
< 0.1%
20394 1
< 0.1%
16688 1
< 0.1%
16687 1
< 0.1%
16686 1
< 0.1%

시군명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
목포시
1875 
신안군
1164 
영광군
704 
강진군
680 
무안군
517 
Other values (17)
5060 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row순천시
2nd row영광군
3rd row신안군
4th row영암군
5th row담양군

Common Values

ValueCountFrequency (%)
목포시 1875
18.8%
신안군 1164
11.6%
영광군 704
 
7.0%
강진군 680
 
6.8%
무안군 517
 
5.2%
나주시 503
 
5.0%
진도군 487
 
4.9%
순천시 459
 
4.6%
해남군 373
 
3.7%
보성군 354
 
3.5%
Other values (12) 2884
28.8%

Length

2023-12-13T06:42:40.225976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
목포시 1875
18.8%
신안군 1164
11.6%
영광군 704
 
7.0%
강진군 680
 
6.8%
무안군 517
 
5.2%
나주시 503
 
5.0%
진도군 487
 
4.9%
순천시 459
 
4.6%
해남군 373
 
3.7%
보성군 354
 
3.5%
Other values (12) 2884
28.8%

코드
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Mokpo_si
1875 
Shinan_gun
1164 
Yeonggwang_gun
704 
Gangjin_gun
680 
Muan_gun
517 
Other values (17)
5060 

Length

Max length14
Median length13
Mean length9.9843
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSuncheon_si
2nd rowYeonggwang_gun
3rd rowShinan_gun
4th rowYeongam_gun
5th rowDamyang_gun

Common Values

ValueCountFrequency (%)
Mokpo_si 1875
18.8%
Shinan_gun 1164
11.6%
Yeonggwang_gun 704
 
7.0%
Gangjin_gun 680
 
6.8%
Muan_gun 517
 
5.2%
Naju_si 503
 
5.0%
Jindo_gun 487
 
4.9%
Suncheon_si 459
 
4.6%
Haenam_gun 373
 
3.7%
Boseong_gun 354
 
3.5%
Other values (12) 2884
28.8%

Length

2023-12-13T06:42:40.379117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
mokpo_si 1875
18.8%
shinan_gun 1164
11.6%
yeonggwang_gun 704
 
7.0%
gangjin_gun 680
 
6.8%
muan_gun 517
 
5.2%
naju_si 503
 
5.0%
jindo_gun 487
 
4.9%
suncheon_si 459
 
4.6%
haenam_gun 373
 
3.7%
boseong_gun 354
 
3.5%
Other values (12) 2884
28.8%

대분류
Text

Distinct322
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:42:40.653917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length5.6632
Min length2

Characters and Unicode

Total characters56632
Distinct characters327
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

Unique4 ?
Unique (%)< 0.1%

Sample

1st row순천만국가정원
2nd row영광군
3rd row선도
4th row축제 영암
5th row메타세쿼이아 가로수길
ValueCountFrequency (%)
평화광장과 324
 
2.8%
바다분수 324
 
2.8%
춤추는 324
 
2.8%
영광군 308
 
2.6%
축제 250
 
2.1%
근대문화역사거리 236
 
2.0%
가을들녘 219
 
1.9%
영광군농협통합rpc 197
 
1.7%
순천만국가정원 181
 
1.5%
선창 181
 
1.5%
Other values (327) 9190
78.3%
2023-12-13T06:42:41.163686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 2293
 
4.0%
1734
 
3.1%
대 1361
 
2.4%
_ 1298
 
2.3%
장 1198
 
2.1%
광 1034
 
1.8%
원 981
 
1.7%
화 948
 
1.7%
사 930
 
1.6%
남 929
 
1.6%
Other values (317) 43926
77.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52543
92.8%
Space Separator 1734
 
3.1%
Connector Punctuation 1298
 
2.3%
Uppercase Letter 611
 
1.1%
Decimal Number 376
 
0.7%
Close Punctuation 32
 
0.1%
Open Punctuation 32
 
0.1%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2293
 
4.4%
대 1361
 
2.6%
장 1198
 
2.3%
광 1034
 
2.0%
원 981
 
1.9%
화 948
 
1.8%
사 930
 
1.8%
남 929
 
1.8%
군 882
 
1.7%
진 856
 
1.6%
Other values (307) 41131
78.3%
Uppercase Letter
ValueCountFrequency (%)
C 217
35.5%
P 197
32.2%
R 197
32.2%
Decimal Number
ValueCountFrequency (%)
1 257
68.4%
0 119
31.6%
Space Separator
ValueCountFrequency (%)
1734
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1298
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52543
92.8%
Common 3478
 
6.1%
Latin 611
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2293
 
4.4%
대 1361
 
2.6%
장 1198
 
2.3%
광 1034
 
2.0%
원 981
 
1.9%
화 948
 
1.8%
사 930
 
1.8%
남 929
 
1.8%
군 882
 
1.7%
진 856
 
1.6%
Other values (307) 41131
78.3%
Common
ValueCountFrequency (%)
1734
49.9%
_ 1298
37.3%
1 257
 
7.4%
0 119
 
3.4%
) 32
 
0.9%
( 32
 
0.9%
, 6
 
0.2%
Latin
ValueCountFrequency (%)
C 217
35.5%
P 197
32.2%
R 197
32.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52543
92.8%
ASCII 4089
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 2293
 
4.4%
대 1361
 
2.6%
장 1198
 
2.3%
광 1034
 
2.0%
원 981
 
1.9%
화 948
 
1.8%
사 930
 
1.8%
남 929
 
1.8%
군 882
 
1.7%
진 856
 
1.6%
Other values (307) 41131
78.3%
ASCII
ValueCountFrequency (%)
1734
42.4%
_ 1298
31.7%
1 257
 
6.3%
C 217
 
5.3%
P 197
 
4.8%
R 197
 
4.8%
0 119
 
2.9%
) 32
 
0.8%
( 32
 
0.8%
, 6
 
0.1%

대분류코드
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct84
Distinct (%)0.8%
Missing10
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean53.798498
Minimum0
Maximum700
Zeros594
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:42:41.343209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median31
Q360
95-th percentile200
Maximum700
Range700
Interquartile range (IQR)49

Descriptive statistics

Standard deviation92.15275
Coefficient of variation (CV)1.7129242
Kurtosis28.798447
Mean53.798498
Median Absolute Deviation (MAD)22
Skewness4.9828202
Sum537447
Variance8492.1293
MonotonicityNot monotonic
2023-12-13T06:42:41.505975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 710
 
7.1%
0 594
 
5.9%
50 373
 
3.7%
200 332
 
3.3%
52 271
 
2.7%
31 271
 
2.7%
13 264
 
2.6%
9 263
 
2.6%
23 255
 
2.5%
62 245
 
2.5%
Other values (74) 6412
64.1%
ValueCountFrequency (%)
0 594
5.9%
1 228
 
2.3%
2 229
 
2.3%
3 224
 
2.2%
4 122
 
1.2%
5 66
 
0.7%
6 152
 
1.5%
7 222
 
2.2%
8 125
 
1.2%
9 263
2.6%
ValueCountFrequency (%)
700 110
 
1.1%
500 65
 
0.7%
400 67
 
0.7%
200 332
3.3%
100 710
7.1%
83 5
 
0.1%
80 17
 
0.2%
79 19
 
0.2%
75 3
 
< 0.1%
74 26
 
0.3%

중분류
Text

Distinct432
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:42:41.770005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length5.4808
Min length2

Characters and Unicode

Total characters54808
Distinct characters356
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row순천만국가정원
2nd row백수해안도로
3rd row선도
4th row영암국화축제
5th row메타세쿼이아길
ValueCountFrequency (%)
풍경 364
 
3.3%
평화광장 324
 
2.9%
영광군농협통합rpc 197
 
1.8%
백수해안도로 189
 
1.7%
장흥물축제 179
 
1.6%
자은 168
 
1.5%
강진만 158
 
1.4%
순천만국가정원 136
 
1.2%
보성녹차밭 130
 
1.2%
시군청 120
 
1.1%
Other values (446) 9056
82.2%
2023-12-13T06:42:42.140232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 2429
 
4.4%
대 1245
 
2.3%
장 1213
 
2.2%
화 1207
 
2.2%
1021
 
1.9%
해 1020
 
1.9%
진 959
 
1.7%
포 913
 
1.7%
목 895
 
1.6%
사 803
 
1.5%
Other values (346) 43103
78.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52229
95.3%
Space Separator 1021
 
1.9%
Uppercase Letter 698
 
1.3%
Connector Punctuation 602
 
1.1%
Lowercase Letter 87
 
0.2%
Decimal Number 79
 
0.1%
Dash Punctuation 36
 
0.1%
Open Punctuation 25
 
< 0.1%
Close Punctuation 25
 
< 0.1%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2429
 
4.7%
대 1245
 
2.4%
장 1213
 
2.3%
화 1207
 
2.3%
해 1020
 
2.0%
진 959
 
1.8%
포 913
 
1.7%
목 895
 
1.7%
사 803
 
1.5%
산 787
 
1.5%
Other values (330) 40758
78.0%
Uppercase Letter
ValueCountFrequency (%)
C 217
31.1%
P 197
28.2%
R 197
28.2%
F 58
 
8.3%
Z 29
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 66
83.5%
3 11
 
13.9%
0 2
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
o 58
66.7%
m 29
33.3%
Space Separator
ValueCountFrequency (%)
1021
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 602
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52229
95.3%
Common 1794
 
3.3%
Latin 785
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2429
 
4.7%
대 1245
 
2.4%
장 1213
 
2.3%
화 1207
 
2.3%
해 1020
 
2.0%
진 959
 
1.8%
포 913
 
1.7%
목 895
 
1.7%
사 803
 
1.5%
산 787
 
1.5%
Other values (330) 40758
78.0%
Common
ValueCountFrequency (%)
1021
56.9%
_ 602
33.6%
1 66
 
3.7%
- 36
 
2.0%
( 25
 
1.4%
) 25
 
1.4%
3 11
 
0.6%
, 6
 
0.3%
0 2
 
0.1%
Latin
ValueCountFrequency (%)
C 217
27.6%
P 197
25.1%
R 197
25.1%
o 58
 
7.4%
F 58
 
7.4%
Z 29
 
3.7%
m 29
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52229
95.3%
ASCII 2579
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 2429
 
4.7%
대 1245
 
2.4%
장 1213
 
2.3%
화 1207
 
2.3%
해 1020
 
2.0%
진 959
 
1.8%
포 913
 
1.7%
목 895
 
1.7%
사 803
 
1.5%
산 787
 
1.5%
Other values (330) 40758
78.0%
ASCII
ValueCountFrequency (%)
1021
39.6%
_ 602
23.3%
C 217
 
8.4%
P 197
 
7.6%
R 197
 
7.6%
1 66
 
2.6%
o 58
 
2.2%
F 58
 
2.2%
- 36
 
1.4%
Z 29
 
1.1%
Other values (6) 98
 
3.8%

중분류코드
Real number (ℝ)

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8396
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:42:42.312715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile10
Maximum24
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.217096
Coefficient of variation (CV)1.1329399
Kurtosis9.0403742
Mean2.8396
Median Absolute Deviation (MAD)1
Skewness2.8085703
Sum28396
Variance10.349707
MonotonicityNot monotonic
2023-12-13T06:42:42.446530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 4673
46.7%
2 2433
24.3%
3 737
 
7.4%
4 398
 
4.0%
6 385
 
3.9%
5 361
 
3.6%
7 245
 
2.5%
10 142
 
1.4%
8 137
 
1.4%
9 116
 
1.2%
Other values (13) 373
 
3.7%
ValueCountFrequency (%)
1 4673
46.7%
2 2433
24.3%
3 737
 
7.4%
4 398
 
4.0%
5 361
 
3.6%
6 385
 
3.9%
7 245
 
2.5%
8 137
 
1.4%
9 116
 
1.2%
10 142
 
1.4%
ValueCountFrequency (%)
24 4
 
< 0.1%
23 2
 
< 0.1%
21 1
 
< 0.1%
20 27
0.3%
19 30
0.3%
18 30
0.3%
17 27
0.3%
16 41
0.4%
15 55
0.5%
14 33
0.3%

소분류
Text

MISSING 

Distinct74
Distinct (%)6.8%
Missing8910
Missing (%)89.1%
Memory size156.2 KiB
2023-12-13T06:42:42.725625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.7229358
Min length2

Characters and Unicode

Total characters6238
Distinct characters139
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

Unique6 ?
Unique (%)0.6%

Sample

1st row영암국화축제
2nd row광양시
3rd row목포항공촬영
4th row광양시
5th row신안군청
ValueCountFrequency (%)
여수불꽃축제 70
 
5.5%
장성군 69
 
5.5%
제40회진도신비의바닷길 60
 
4.8%
영광 60
 
4.8%
압해도 56
 
4.4%
진도군청 51
 
4.0%
천사대교 50
 
4.0%
전라병영성축제 43
 
3.4%
황룡강축제 37
 
2.9%
보성빛축제 36
 
2.9%
Other values (75) 731
57.9%
2023-12-13T06:42:43.381114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 347
 
5.6%
도 283
 
4.5%
축 282
 
4.5%
군 252
 
4.0%
영 193
 
3.1%
청 174
 
2.8%
173
 
2.8%
대 158
 
2.5%
진 156
 
2.5%
성 148
 
2.4%
Other values (129) 4072
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5885
94.3%
Space Separator 173
 
2.8%
Decimal Number 131
 
2.1%
Dash Punctuation 36
 
0.6%
Connector Punctuation 13
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 347
 
5.9%
도 283
 
4.8%
축 282
 
4.8%
군 252
 
4.3%
영 193
 
3.3%
청 174
 
3.0%
대 158
 
2.7%
진 156
 
2.7%
성 148
 
2.5%
포 146
 
2.5%
Other values (123) 3746
63.7%
Decimal Number
ValueCountFrequency (%)
4 60
45.8%
0 60
45.8%
3 11
 
8.4%
Space Separator
ValueCountFrequency (%)
173
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5885
94.3%
Common 353
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 347
 
5.9%
도 283
 
4.8%
축 282
 
4.8%
군 252
 
4.3%
영 193
 
3.3%
청 174
 
3.0%
대 158
 
2.7%
진 156
 
2.7%
성 148
 
2.5%
포 146
 
2.5%
Other values (123) 3746
63.7%
Common
ValueCountFrequency (%)
173
49.0%
4 60
 
17.0%
0 60
 
17.0%
- 36
 
10.2%
_ 13
 
3.7%
3 11
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5885
94.3%
ASCII 353
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 347
 
5.9%
도 283
 
4.8%
축 282
 
4.8%
군 252
 
4.3%
영 193
 
3.3%
청 174
 
3.0%
대 158
 
2.7%
진 156
 
2.7%
성 148
 
2.5%
포 146
 
2.5%
Other values (123) 3746
63.7%
ASCII
ValueCountFrequency (%)
173
49.0%
4 60
 
17.0%
0 60
 
17.0%
- 36
 
10.2%
_ 13
 
3.7%
3 11
 
3.1%

소분류코드
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)1.7%
Missing8681
Missing (%)86.8%
Infinite0
Infinite (%)0.0%
Mean3.0144049
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:42:43.499249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile12
Maximum24
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.9317707
Coefficient of variation (CV)1.3043274
Kurtosis10.743785
Mean3.0144049
Median Absolute Deviation (MAD)0
Skewness3.161934
Sum3976
Variance15.458821
MonotonicityNot monotonic
2023-12-13T06:42:43.627405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 670
 
6.7%
2 200
 
2.0%
3 173
 
1.7%
4 70
 
0.7%
6 68
 
0.7%
5 36
 
0.4%
12 20
 
0.2%
11 17
 
0.2%
18 9
 
0.1%
13 9
 
0.1%
Other values (13) 47
 
0.5%
(Missing) 8681
86.8%
ValueCountFrequency (%)
1 670
6.7%
2 200
 
2.0%
3 173
 
1.7%
4 70
 
0.7%
5 36
 
0.4%
6 68
 
0.7%
7 1
 
< 0.1%
8 4
 
< 0.1%
9 3
 
< 0.1%
10 3
 
< 0.1%
ValueCountFrequency (%)
24 4
< 0.1%
23 8
0.1%
22 1
 
< 0.1%
21 6
0.1%
20 3
 
< 0.1%
19 2
 
< 0.1%
18 9
0.1%
17 6
0.1%
15 5
0.1%
14 1
 
< 0.1%

촬영일자
Date

Distinct455
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2014-11-18 00:00:00
Maximum2021-11-29 00:00:00
2023-12-13T06:42:43.746938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:43.857664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

분류1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
movie
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
movie 10000
100.0%

Length

2023-12-13T06:42:43.970720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:42:44.059149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
movie 10000
100.0%

분류2
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
관광지
4631 
랜드마크
3788 
기타
725 
축제
709 
<NA>
 
147

Length

Max length4
Median length3
Mean length3.2501
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관광지
2nd row랜드마크
3rd row랜드마크
4th row축제
5th row관광지

Common Values

ValueCountFrequency (%)
관광지 4631
46.3%
랜드마크 3788
37.9%
기타 725
 
7.2%
축제 709
 
7.1%
<NA> 147
 
1.5%

Length

2023-12-13T06:42:44.152171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:42:44.255127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광지 4631
46.3%
랜드마크 3788
37.9%
기타 725
 
7.2%
축제 709
 
7.1%
na 147
 
1.5%

키워드
Text

MISSING 

Distinct395
Distinct (%)4.2%
Missing517
Missing (%)5.2%
Memory size156.2 KiB
2023-12-13T06:42:44.433820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length11.447116
Min length3

Characters and Unicode

Total characters108553
Distinct characters346
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

Unique16 ?
Unique (%)0.2%

Sample

1st row순천시,순천만국가정원,전남으뜸경관10선
2nd row영광군,백수해안도로,전남으뜸경관
3rd row신안군,선도,가고싶은섬
4th row영암군,영암국화축제
5th row담양군,메타세쿼이아 가로수길,전남으뜸경관10선
ValueCountFrequency (%)
목포시 379
 
3.6%
평화광장 305
 
2.9%
목포시,근대문화역사거리 236
 
2.3%
영광군,농협통합rpc 197
 
1.9%
영광군,백수해안도로,전남으뜸경관 189
 
1.8%
순천시,순천만국가정원,전남으뜸경관10선 181
 
1.7%
목포시,선창 181
 
1.7%
장흥군,장흥물축제 179
 
1.7%
강진군,강진만생태공원,강진만 158
 
1.5%
목포시,목포문화예술회관 152
 
1.5%
Other values (401) 8279
79.3%
2023-12-13T06:42:44.751650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 13027
 
12.0%
군 6366
 
5.9%
도 3587
 
3.3%
시 3339
 
3.1%
포 2384
 
2.2%
남 2383
 
2.2%
목 2352
 
2.2%
진 2308
 
2.1%
전 1969
 
1.8%
대 1839
 
1.7%
Other values (336) 68999
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92211
84.9%
Other Punctuation 13027
 
12.0%
Decimal Number 1611
 
1.5%
Space Separator 953
 
0.9%
Uppercase Letter 665
 
0.6%
Connector Punctuation 86
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 6366
 
6.9%
도 3587
 
3.9%
시 3339
 
3.6%
포 2384
 
2.6%
남 2383
 
2.6%
목 2352
 
2.6%
진 2308
 
2.5%
전 1969
 
2.1%
대 1839
 
2.0%
장 1769
 
1.9%
Other values (326) 63915
69.3%
Uppercase Letter
ValueCountFrequency (%)
C 213
32.0%
R 197
29.6%
P 197
29.6%
F 58
 
8.7%
Decimal Number
ValueCountFrequency (%)
1 829
51.5%
0 771
47.9%
3 11
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 13027
100.0%
Space Separator
ValueCountFrequency (%)
953
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92211
84.9%
Common 15677
 
14.4%
Latin 665
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 6366
 
6.9%
도 3587
 
3.9%
시 3339
 
3.6%
포 2384
 
2.6%
남 2383
 
2.6%
목 2352
 
2.6%
진 2308
 
2.5%
전 1969
 
2.1%
대 1839
 
2.0%
장 1769
 
1.9%
Other values (326) 63915
69.3%
Common
ValueCountFrequency (%)
, 13027
83.1%
953
 
6.1%
1 829
 
5.3%
0 771
 
4.9%
_ 86
 
0.5%
3 11
 
0.1%
Latin
ValueCountFrequency (%)
C 213
32.0%
R 197
29.6%
P 197
29.6%
F 58
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92211
84.9%
ASCII 16342
 
15.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 13027
79.7%
953
 
5.8%
1 829
 
5.1%
0 771
 
4.7%
C 213
 
1.3%
R 197
 
1.2%
P 197
 
1.2%
_ 86
 
0.5%
F 58
 
0.4%
3 11
 
0.1%
Hangul
ValueCountFrequency (%)
군 6366
 
6.9%
도 3587
 
3.9%
시 3339
 
3.6%
포 2384
 
2.6%
남 2383
 
2.6%
목 2352
 
2.6%
진 2308
 
2.5%
전 1969
 
2.1%
대 1839
 
2.0%
장 1769
 
1.9%
Other values (326) 63915
69.3%

영상URL
Text

Distinct9966
Distinct (%)99.7%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T06:42:44.951918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length88
Mean length76.330666
Min length57

Characters and Unicode

Total characters763154
Distinct characters53
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9940 ?
Unique (%)99.4%

Sample

1st rowhttp://open.namdogeo.com:9090/Suncheon_si/22/22_03_20181009/Movie/movie12.mp4
2nd rowhttp://open.namdogeo.com:9090/Yeonggwang_gun/9/0_02_20181012/Movie/movie38.mp4
3rd rowhttp://open.namdogeo.com:9090/Shinan_gun/64/64_02_20210409/Movie/movie35.mp4
4th rowhttp://open.namdogeo.com:9090/Yeongam_gun/100/100_03/100_03_01_20171110/Movie/movie4.mp4
5th rowhttp://open.namdogeo.com:9090/Damyang_gun/23/23_01_20181003/Movie/movie4.mp4
ValueCountFrequency (%)
http://open.namdogeo.com:9090/shinan_gun/59/59_01_20191123/movie/movie1.mp4 5
 
0.1%
http://open.namdogeo.com:9090/shinan_gun/500/500_08_20190817/movie/movie1.mp4 4
 
< 0.1%
http://open.namdogeo.com:9090/shinan_gun/62/62_04_20200614/movie/movie1.mp4 3
 
< 0.1%
http://open.namdogeo.com:9090/yeosu_si/46/46_01_20181009/movie/movie10.mp4 2
 
< 0.1%
http://open.namdogeo.com:9090/yeosu_si/46/46_01_20181009/movie/movie14.mp4 2
 
< 0.1%
http://open.namdogeo.com:9090/yeosu_si/46/46_01_20181009/movie/movie22.mp4 2
 
< 0.1%
http://open.namdogeo.com:9090/yeosu_si/46/46_01_20181009/movie/movie21.mp4 2
 
< 0.1%
http://open.namdogeo.com:9090/yeosu_si/46/46_01_20181009/movie/movie2.mp4 2
 
< 0.1%
http://open.namdogeo.com:9090/yeosu_si/46/46_01_20181009/movie/movie12.mp4 2
 
< 0.1%
http://open.namdogeo.com:9090/shinan_gun/62/62_03_20200124/movie/movie2.mp4 2
 
< 0.1%
Other values (9956) 9972
99.7%
2023-12-13T06:42:45.264619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 71172
 
9.3%
0 68171
 
8.9%
o 67563
 
8.9%
e 43665
 
5.7%
m 40749
 
5.3%
n 37395
 
4.9%
1 33904
 
4.4%
_ 32414
 
4.2%
p 31975
 
4.2%
. 29990
 
3.9%
Other values (43) 306156
40.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 378325
49.6%
Decimal Number 211085
27.7%
Other Punctuation 121154
 
15.9%
Connector Punctuation 32414
 
4.2%
Uppercase Letter 19937
 
2.6%
Dash Punctuation 221
 
< 0.1%
Other Letter 18
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 67563
17.9%
e 43665
11.5%
m 40749
10.8%
n 37395
9.9%
p 31975
8.5%
i 25321
 
6.7%
g 22354
 
5.9%
t 19992
 
5.3%
v 19703
 
5.2%
a 16433
 
4.3%
Other values (10) 53175
14.1%
Decimal Number
ValueCountFrequency (%)
0 68171
32.3%
1 33904
16.1%
2 29750
14.1%
9 26384
 
12.5%
4 16721
 
7.9%
3 8351
 
4.0%
5 7762
 
3.7%
6 7735
 
3.7%
8 6199
 
2.9%
7 6108
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
M 12331
61.8%
G 1662
 
8.3%
S 1623
 
8.1%
Y 1309
 
6.6%
J 1027
 
5.2%
H 744
 
3.7%
N 503
 
2.5%
B 354
 
1.8%
D 199
 
1.0%
W 185
 
0.9%
Other Letter
ValueCountFrequency (%)
공 4
22.2%
작 2
11.1%
업 2
11.1%
파 2
11.1%
일 2
11.1%
데 2
11.1%
이 2
11.1%
터 2
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 71172
58.7%
. 29990
24.8%
: 19992
 
16.5%
Connector Punctuation
ValueCountFrequency (%)
_ 32414
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 221
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 398262
52.2%
Common 364874
47.8%
Hangul 18
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 67563
17.0%
e 43665
11.0%
m 40749
10.2%
n 37395
9.4%
p 31975
8.0%
i 25321
 
6.4%
g 22354
 
5.6%
t 19992
 
5.0%
v 19703
 
4.9%
a 16433
 
4.1%
Other values (20) 73112
18.4%
Common
ValueCountFrequency (%)
/ 71172
19.5%
0 68171
18.7%
1 33904
9.3%
_ 32414
8.9%
. 29990
8.2%
2 29750
8.2%
9 26384
 
7.2%
: 19992
 
5.5%
4 16721
 
4.6%
3 8351
 
2.3%
Other values (5) 28025
 
7.7%
Hangul
ValueCountFrequency (%)
공 4
22.2%
작 2
11.1%
업 2
11.1%
파 2
11.1%
일 2
11.1%
데 2
11.1%
이 2
11.1%
터 2
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 763136
> 99.9%
Hangul 18
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 71172
 
9.3%
0 68171
 
8.9%
o 67563
 
8.9%
e 43665
 
5.7%
m 40749
 
5.3%
n 37395
 
4.9%
1 33904
 
4.4%
_ 32414
 
4.2%
p 31975
 
4.2%
. 29990
 
3.9%
Other values (35) 306138
40.1%
Hangul
ValueCountFrequency (%)
공 4
22.2%
작 2
11.1%
업 2
11.1%
파 2
11.1%
일 2
11.1%
데 2
11.1%
이 2
11.1%
터 2
11.1%

추천
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-13T06:42:45.374689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:42:45.458194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

주소
Text

MISSING 

Distinct332
Distinct (%)3.8%
Missing1240
Missing (%)12.4%
Memory size156.2 KiB
2023-12-13T06:42:45.754027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length18.756849
Min length8

Characters and Unicode

Total characters164310
Distinct characters240
Distinct categories6 ?
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 (%)0.4%

Sample

1st row전라남도 순천시 국가정원1호길 47
2nd row전라남도 영광군 백수읍 해안로 957
3rd row전라남도 신안군 지도읍 선도리
4th row전라남도 영암군 영암읍 기찬랜드로 19-3
5th row전라남도 담양군 담양읍 메타세쿼이아로 12
ValueCountFrequency (%)
전라남도 8599
 
22.0%
목포시 1522
 
3.9%
신안군 922
 
2.4%
영광군 699
 
1.8%
강진군 597
 
1.5%
나주시 503
 
1.3%
무안군 502
 
1.3%
순천시 459
 
1.2%
진도군 376
 
1.0%
해남군 363
 
0.9%
Other values (614) 24522
62.8%
2023-12-13T06:42:46.270976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30304
18.4%
도 10711
 
6.5%
남 9850
 
6.0%
전 8853
 
5.4%
라 8599
 
5.2%
군 6109
 
3.7%
1 4287
 
2.6%
면 3817
 
2.3%
로 3661
 
2.2%
2 3468
 
2.1%
Other values (230) 74651
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109704
66.8%
Space Separator 30304
 
18.4%
Decimal Number 22320
 
13.6%
Dash Punctuation 1882
 
1.1%
Close Punctuation 50
 
< 0.1%
Open Punctuation 50
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 10711
 
9.8%
남 9850
 
9.0%
전 8853
 
8.1%
라 8599
 
7.8%
군 6109
 
5.6%
면 3817
 
3.5%
로 3661
 
3.3%
시 3020
 
2.8%
길 2734
 
2.5%
읍 2564
 
2.3%
Other values (216) 49786
45.4%
Decimal Number
ValueCountFrequency (%)
1 4287
19.2%
2 3468
15.5%
3 2343
10.5%
5 2098
9.4%
0 2030
9.1%
7 1964
8.8%
4 1957
8.8%
6 1490
 
6.7%
8 1448
 
6.5%
9 1235
 
5.5%
Space Separator
ValueCountFrequency (%)
30304
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1882
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109704
66.8%
Common 54606
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 10711
 
9.8%
남 9850
 
9.0%
전 8853
 
8.1%
라 8599
 
7.8%
군 6109
 
5.6%
면 3817
 
3.5%
로 3661
 
3.3%
시 3020
 
2.8%
길 2734
 
2.5%
읍 2564
 
2.3%
Other values (216) 49786
45.4%
Common
ValueCountFrequency (%)
30304
55.5%
1 4287
 
7.9%
2 3468
 
6.4%
3 2343
 
4.3%
5 2098
 
3.8%
0 2030
 
3.7%
7 1964
 
3.6%
4 1957
 
3.6%
- 1882
 
3.4%
6 1490
 
2.7%
Other values (4) 2783
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109704
66.8%
ASCII 54606
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30304
55.5%
1 4287
 
7.9%
2 3468
 
6.4%
3 2343
 
4.3%
5 2098
 
3.8%
0 2030
 
3.7%
7 1964
 
3.6%
4 1957
 
3.6%
- 1882
 
3.4%
6 1490
 
2.7%
Other values (4) 2783
 
5.1%
Hangul
ValueCountFrequency (%)
도 10711
 
9.8%
남 9850
 
9.0%
전 8853
 
8.1%
라 8599
 
7.8%
군 6109
 
5.6%
면 3817
 
3.5%
로 3661
 
3.3%
시 3020
 
2.8%
길 2734
 
2.5%
읍 2564
 
2.3%
Other values (216) 49786
45.4%

주차장
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
O
6256 
X
3744 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowO
2nd rowO
3rd rowX
4th rowO
5th rowO

Common Values

ValueCountFrequency (%)
O 6256
62.6%
X 3744
37.4%

Length

2023-12-13T06:42:46.409224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:42:46.532125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 6256
62.6%
x 3744
37.4%

전화
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
X
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 10000
100.0%

Length

2023-12-13T06:42:46.652913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:42:46.757644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 10000
100.0%

홈페이지
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
X
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 10000
100.0%

Length

2023-12-13T06:42:46.869149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:42:46.961039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 10000
100.0%

Interactions

2023-12-13T06:42:38.717438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:37.232256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:37.736926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:38.237784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:38.810803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:37.376772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:37.867155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:38.364273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:38.927383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:37.495282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:37.987216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:38.498501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:39.019592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:37.606854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:38.110361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:38.612012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:42:47.029655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No시군명코드대분류코드중분류코드소분류소분류코드분류2주차장
No1.0000.9420.9420.3180.3461.0000.5330.6590.357
시군명0.9421.0001.0000.5520.4711.0000.7620.7220.592
코드0.9421.0001.0000.5520.4711.0000.7620.7220.592
대분류코드0.3180.5520.5521.0000.3531.0000.3750.7810.514
중분류코드0.3460.4710.4710.3531.0001.0000.2790.1980.115
소분류1.0001.0001.0001.0001.0001.0000.9851.0001.000
소분류코드0.5330.7620.7620.3750.2790.9851.0000.6060.469
분류20.6590.7220.7220.7810.1981.0000.6061.0000.446
주차장0.3570.5920.5920.5140.1151.0000.4690.4461.000
2023-12-13T06:42:47.169624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장시군명분류2코드
주차장1.0000.4730.3000.473
시군명0.4731.0000.4771.000
분류20.3000.4771.0000.477
코드0.4731.0000.4771.000
2023-12-13T06:42:47.275507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No대분류코드중분류코드소분류코드시군명코드분류2주차장
No1.0000.062-0.0810.2430.7630.7630.3430.268
대분류코드0.0621.000-0.019-0.1340.2910.2910.6340.363
중분류코드-0.081-0.0191.000-0.0100.1940.1940.1200.088
소분류코드0.243-0.134-0.0101.0000.4090.4090.4490.360
시군명0.7630.2910.1940.4091.0001.0000.4770.473
코드0.7630.2910.1940.4091.0001.0000.4770.473
분류20.3430.6340.1200.4490.4770.4771.0000.300
주차장0.2680.3630.0880.3600.4730.4730.3001.000

Missing values

2023-12-13T06:42:39.180470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:42:39.470902image/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.
2023-12-13T06:42:39.680424image/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

No시군명코드대분류대분류코드중분류중분류코드소분류소분류코드촬영일자분류1분류2키워드영상URL추천주소주차장전화홈페이지
56585681순천시Suncheon_si순천만국가정원22순천만국가정원3<NA><NA>2018-10-09movie관광지순천시,순천만국가정원,전남으뜸경관10선http://open.namdogeo.com:9090/Suncheon_si/22/22_03_20181009/Movie/movie12.mp40전라남도 순천시 국가정원1호길 47OXX
76997722영광군Yeonggwang_gun영광군9백수해안도로2<NA><NA>2018-10-12movie랜드마크영광군,백수해안도로,전남으뜸경관http://open.namdogeo.com:9090/Yeonggwang_gun/9/0_02_20181012/Movie/movie38.mp40전라남도 영광군 백수읍 해안로 957OXX
64266449신안군Shinan_gun선도64선도2<NA><NA>2021-04-09movie랜드마크신안군,선도,가고싶은섬http://open.namdogeo.com:9090/Shinan_gun/64/64_02_20210409/Movie/movie35.mp40전라남도 신안군 지도읍 선도리XXX
85628585영암군Yeongam_gun축제 영암100영암국화축제3영암국화축제12017-11-10movie축제영암군,영암국화축제http://open.namdogeo.com:9090/Yeongam_gun/100/100_03/100_03_01_20171110/Movie/movie4.mp40전라남도 영암군 영암읍 기찬랜드로 19-3OXX
23682380담양군Damyang_gun메타세쿼이아 가로수길23메타세쿼이아길1<NA><NA>2018-10-03movie관광지담양군,메타세쿼이아 가로수길,전남으뜸경관10선http://open.namdogeo.com:9090/Damyang_gun/23/23_01_20181003/Movie/movie4.mp40전라남도 담양군 담양읍 메타세쿼이아로 12OXX
13911399광양시Gwangyang_si섬진강휴게소80섬진강휴게소1<NA><NA>2021-08-10movie랜드마크광양시,섬진강휴게소http://open.namdogeo.com:9090/Gwangyang_si/80/80_01_20210810/Movie/movie5.mp40전라남도 광양시 진월면 신아리 1192-1OXX
1066910698화순군Hwasun_gun가을들녘200화순가을들녘1<NA><NA>2017-10-09movie기타화순군,가을들녘http://open.namdogeo.com:9090/Hwasun_gun/200/200_01_20171009/Movie/movie4.mp40<NA>XXX
12581265광양시Gwangyang_si광양시0풍경2광양시22017-10-07movie기타광양시http://open.namdogeo.com:9090/Gwangyang_si/0/0_02/0_02_02_20171007/Movie/movie8.mp40<NA>XXX
47074721무안군Muan_gun탄도4탄도2<NA><NA>2020-06-08movie관광지<NA>http://open.namdogeo.com:9090/Muan_gun/4/4_02_20200608/Movie/movie18.mp40전라남도 무안군 망운면 탄도길 12-22XXX
28022815목포시Mokpo_si목포 해상케이블카16목포해상케이블카15<NA><NA>2019-10-04movie관광지목포시,해상케이블카http://open.namdogeo.com:9090/Mokpo_si/16/16_15_20191004/Movie/20.mp40<NA>XXX
No시군명코드대분류대분류코드중분류중분류코드소분류소분류코드촬영일자분류1분류2키워드영상URL추천주소주차장전화홈페이지
10611068고흥군Goheung_gun가을들녘 고흥200고흥 가을들녘1<NA><NA>2017-10-10movie기타고흥군,가을들녘http://open.namdogeo.com:9090/Goheung_gun/200/200_01_20171010/Movie/movie42.mp40<NA>XXX
79087931영광군Yeonggwang_gun안마도19안마도1<NA><NA>2021-04-26movie랜드마크영광군,안마도,전라남도가고싶은섬http://open.namdogeo.com:9090/Yeonggwang_gun/19/19_01_20210426/Movie/movie63.mp40전라남도 영광군 낙월면 안마길2XXX
94169440진도군Jindo_gun진도군0풍경2진도군청42020-10-09movie랜드마크진도군http://open.namdogeo.com:9090/Jindo_gun/0/0_02/0_02_04_20201009/Movie/movie29.mp40전라남도 진도군 진도읍 철마길 25OXX
350352강진군Gangjin_gun강진만생태공원13강진만1<NA><NA>2016-10-26movie관광지강진군,강진만생태공원,강진만http://open.namdogeo.com:9090/Gangjin_gun/13/13_01_20161026/Movie/movie37.mp40전라남도 강진군 강진읍 남포리 510OXX
1055010579화순군Hwasun_gun운주사25화순운주사1<NA><NA>2020-12-02movie관광지화순군,화순운주사http://open.namdogeo.com:9090/Hwasun_gun/25/25_01_20201202/Movie/movie9.mp40전라남도 화순군 도암면 천태로 91-44OXX
37543767목포시Mokpo_si근대문화역사거리52목포근대문화거리6<NA><NA>2019-03-16movie관광지목포시,근대문화역사거리http://open.namdogeo.com:9090/Mokpo_si/52/52_06_20190316/Movie/movie42.mp40전라남도 목포시 영산로 19번길6XXX
42754288목포시Mokpo_si선창62목포선창2<NA><NA>2015-10-19movie랜드마크목포시,선창http://open.namdogeo.com:9090/Mokpo_si/62/62_02_20151019/Movie/movie6.mp40전라남도 목포시 산정동 1427OXX
33583371목포시Mokpo_si평화광장과 춤추는 바다분수50평화광장10<NA><NA>2018-08-18movie관광지목포시, 평화광장http://open.namdogeo.com:9090/Mokpo_si/50/50_10_20180818/Movie/movie12.mp40전라남도 목포시 평화로 82OXX
381383강진군Gangjin_gun강진만생태공원13강진만1<NA><NA>2016-10-26movie관광지강진군,강진만생태공원,강진만http://open.namdogeo.com:9090/Gangjin_gun/13/13_01_20161026/Movie/movie68.mp40전라남도 강진군 강진읍 남포리 510OXX
47974813무안군Muan_gun느러지6느러지3<NA><NA>2020-08-30movie관광지<NA>http://open.namdogeo.com:9090/Muan_gun/6/6_03_20200830/Movie/movie5.mp40전라남도 무안군 몽탄면 이산리 32-24XXX