Overview

Dataset statistics

Number of variables10
Number of observations199
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)1.0%
Total size in memory16.5 KiB
Average record size in memory84.7 B

Variable types

Categorical6
Numeric2
Text2

Dataset

DescriptionSample
Author(주)넥스트이지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NXEGOGLTRRSRT

Alerts

1100고지 제주 has constant value ""Constant
서귀포시의 휴게소 has constant value ""Constant
20211020 has constant value ""Constant
Dataset has 2 (1.0%) duplicate rowsDuplicates
0 is highly overall correlated with 0.1High correlation
0.1 is highly overall correlated with 0High correlation
0 has 7 (3.5%) zerosZeros
0.1 has 33 (16.6%) zerosZeros

Reproduction

Analysis started2023-12-10 06:34:37.374065
Analysis finished2023-12-10 06:34:42.248430
Duration4.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

1100고지 제주
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1100고지 제주
199 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1100고지 제주
2nd row1100고지 제주
3rd row1100고지 제주
4th row1100고지 제주
5th row1100고지 제주

Common Values

ValueCountFrequency (%)
1100고지 제주 199
100.0%

Length

2023-12-10T15:34:42.346224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:34:42.507879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1100고지 199
50.0%
제주 199
50.0%

서귀포시의 휴게소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
서귀포시의 휴게소
199 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서귀포시의 휴게소
2nd row서귀포시의 휴게소
3rd row서귀포시의 휴게소
4th row서귀포시의 휴게소
5th row서귀포시의 휴게소

Common Values

ValueCountFrequency (%)
서귀포시의 휴게소 199
100.0%

Length

2023-12-10T15:34:42.665038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:34:42.811193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포시의 199
50.0%
휴게소 199
50.0%

X
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
지역 가이드
128 
X
71 

Length

Max length6
Median length6
Mean length4.2160804
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지역 가이드 128
64.3%
X 71
35.7%

Length

2023-12-10T15:34:42.966408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:34:43.127781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역 128
39.1%
가이드 128
39.1%
x 71
21.7%

0
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct113
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.417085
Minimum0
Maximum919
Zeros7
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:43.341086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median38
Q3101
95-th percentile366.6
Maximum919
Range919
Interquartile range (IQR)92

Descriptive statistics

Standard deviation138.99379
Coefficient of variation (CV)1.5544433
Kurtosis11.169898
Mean89.417085
Median Absolute Deviation (MAD)33
Skewness3.0001423
Sum17794
Variance19319.275
MonotonicityNot monotonic
2023-12-10T15:34:43.583770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 9
 
4.5%
1 8
 
4.0%
5 7
 
3.5%
0 7
 
3.5%
9 6
 
3.0%
8 5
 
2.5%
17 5
 
2.5%
12 5
 
2.5%
41 3
 
1.5%
13 3
 
1.5%
Other values (103) 141
70.9%
ValueCountFrequency (%)
0 7
3.5%
1 8
4.0%
2 9
4.5%
3 2
 
1.0%
4 2
 
1.0%
5 7
3.5%
6 3
 
1.5%
7 3
 
1.5%
8 5
2.5%
9 6
3.0%
ValueCountFrequency (%)
919 1
0.5%
765 1
0.5%
684 1
0.5%
629 1
0.5%
562 1
0.5%
413 1
0.5%
403 1
0.5%
400 1
0.5%
393 1
0.5%
381 1
0.5%

0.1
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct109
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean363.41206
Minimum0
Maximum11479
Zeros33
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:43.794890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median22
Q3173.5
95-th percentile1680.4
Maximum11479
Range11479
Interquartile range (IQR)170.5

Descriptive statistics

Standard deviation1236.3845
Coefficient of variation (CV)3.4021559
Kurtosis48.296654
Mean363.41206
Median Absolute Deviation (MAD)22
Skewness6.4505231
Sum72319
Variance1528646.6
MonotonicityNot monotonic
2023-12-10T15:34:44.025056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
16.6%
1 12
 
6.0%
4 6
 
3.0%
9 6
 
3.0%
3 5
 
2.5%
19 4
 
2.0%
2 4
 
2.0%
8 3
 
1.5%
6 3
 
1.5%
40 3
 
1.5%
Other values (99) 120
60.3%
ValueCountFrequency (%)
0 33
16.6%
1 12
 
6.0%
2 4
 
2.0%
3 5
 
2.5%
4 6
 
3.0%
5 2
 
1.0%
6 3
 
1.5%
8 3
 
1.5%
9 6
 
3.0%
10 1
 
0.5%
ValueCountFrequency (%)
11479 1
0.5%
9360 1
0.5%
5230 1
0.5%
5058 1
0.5%
3417 1
0.5%
2673 1
0.5%
2603 1
0.5%
2562 1
0.5%
2014 1
0.5%
1711 1
0.5%

X.1
Text

Distinct115
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:34:44.417057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length291
Median length83
Mean length19.175879
Min length1

Characters and Unicode

Total characters3816
Distinct characters459
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)56.8%

Sample

1st row별이 잘 보입니다
2nd rowX
3rd row밤중에 별보기 명당. 운전조심 하시구요
4th rowX
5th row언제가도 즐거운 곳
ValueCountFrequency (%)
x 83
 
9.2%
휴게소 12
 
1.3%
수 9
 
1.0%
좋아요 9
 
1.0%
곳 6
 
0.7%
습지 6
 
0.7%
습지가 5
 
0.6%
별을 5
 
0.6%
있는 5
 
0.6%
1100고지 5
 
0.6%
Other values (663) 758
83.9%
2023-12-10T15:34:45.113366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
711
 
18.6%
. 86
 
2.3%
X 83
 
2.2%
지 75
 
2.0%
다 71
 
1.9%
이 69
 
1.8%
고 62
 
1.6%
가 60
 
1.6%
요 56
 
1.5%
는 55
 
1.4%
Other values (449) 2488
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2676
70.1%
Space Separator 711
 
18.6%
Other Punctuation 117
 
3.1%
Lowercase Letter 90
 
2.4%
Uppercase Letter 89
 
2.3%
Decimal Number 71
 
1.9%
Math Symbol 37
 
1.0%
Modifier Symbol 7
 
0.2%
Open Punctuation 6
 
0.2%
Other Symbol 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 75
 
2.8%
다 71
 
2.7%
이 69
 
2.6%
고 62
 
2.3%
가 60
 
2.2%
요 56
 
2.1%
는 55
 
2.1%
하 46
 
1.7%
한 46
 
1.7%
기 43
 
1.6%
Other values (407) 2093
78.2%
Lowercase Letter
ValueCountFrequency (%)
e 11
12.2%
l 10
11.1%
t 10
11.1%
a 9
 
10.0%
o 8
 
8.9%
i 5
 
5.6%
s 4
 
4.4%
g 4
 
4.4%
c 3
 
3.3%
r 3
 
3.3%
Other values (11) 23
25.6%
Other Punctuation
ValueCountFrequency (%)
. 86
73.5%
! 22
 
18.8%
' 4
 
3.4%
? 3
 
2.6%
; 2
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
X 83
93.3%
G 3
 
3.4%
S 1
 
1.1%
T 1
 
1.1%
R 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 32
45.1%
0 31
43.7%
2 6
 
8.5%
5 2
 
2.8%
Math Symbol
ValueCountFrequency (%)
~ 24
64.9%
| 13
35.1%
Space Separator
ValueCountFrequency (%)
711
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Symbol
ValueCountFrequency (%)
⭐ 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2676
70.1%
Common 961
 
25.2%
Latin 179
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 75
 
2.8%
다 71
 
2.7%
이 69
 
2.6%
고 62
 
2.3%
가 60
 
2.2%
요 56
 
2.1%
는 55
 
2.1%
하 46
 
1.7%
한 46
 
1.7%
기 43
 
1.6%
Other values (407) 2093
78.2%
Latin
ValueCountFrequency (%)
X 83
46.4%
e 11
 
6.1%
l 10
 
5.6%
t 10
 
5.6%
a 9
 
5.0%
o 8
 
4.5%
i 5
 
2.8%
s 4
 
2.2%
g 4
 
2.2%
c 3
 
1.7%
Other values (16) 32
 
17.9%
Common
ValueCountFrequency (%)
711
74.0%
. 86
 
8.9%
1 32
 
3.3%
0 31
 
3.2%
~ 24
 
2.5%
! 22
 
2.3%
| 13
 
1.4%
^ 7
 
0.7%
( 6
 
0.6%
⭐ 6
 
0.6%
Other values (6) 23
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2673
70.0%
ASCII 1134
29.7%
None 6
 
0.2%
Compat Jamo 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
711
62.7%
. 86
 
7.6%
X 83
 
7.3%
1 32
 
2.8%
0 31
 
2.7%
~ 24
 
2.1%
! 22
 
1.9%
| 13
 
1.1%
e 11
 
1.0%
l 10
 
0.9%
Other values (31) 111
 
9.8%
Hangul
ValueCountFrequency (%)
지 75
 
2.8%
다 71
 
2.7%
이 69
 
2.6%
고 62
 
2.3%
가 60
 
2.2%
요 56
 
2.1%
는 55
 
2.1%
하 46
 
1.7%
한 46
 
1.7%
기 43
 
1.6%
Other values (405) 2090
78.2%
None
ValueCountFrequency (%)
⭐ 6
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅠ 2
66.7%
ㅡ 1
33.3%

X.2
Text

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:34:46.713985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length1
Mean length124.51256
Min length1

Characters and Unicode

Total characters24778
Distinct characters72
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

Unique50 ?
Unique (%)25.1%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX
ValueCountFrequency (%)
x 149
74.9%
https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipnaorylgnebs4v_imgnugfwnsnmybmve-xjcpee&sa=x&ved=2ahukewjypblemcvzahxsc94kht_datoq9fkhkab6bagbeb8|!1e10!2saf1qipmizhe_2lzmxmrf1mya0yftxvlzu91rjvzmugmz&sa=x&ved=2ahukewjypblemcvzahxsc94kht_datoq9fkhkaf6bagbeca|!1e10!2saf1qippccwlbgdisomiao8cbjswvg-fxo08iacmhdgn6&sa=x&ved=2ahukewjypblemcvzahxsc94kht_datoq9fkhkaj6bagbece|!1e10!2saf1qipnsqkgqc_6x6j3vemfqfdnpgkgthpaywuxokkrm&sa=x&ved=2ahukewjypblemcvzahxsc94kht_datoq9fkhkan6bagbeci|!1e10!2saf1qipnajjyplmpigx0mpaibuw4ceqmp1iwipsr0dbay&sa=x&ved=2ahukewjypblemcvzahxsc94kht_datoq9fkhkar6bagbecm|!1e10!2saf1qipns6g7-w9_auognsqj7h-rp8jukfq8yq6ubpvum&sa=x&ved=2ahukewjypblemcvzahxsc94kht_datoq9fkhkav6bagbecq 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipnk5jwk0sxxxswv-r2iidnem9mqtrnji-tantjh&sa=x&ved=2ahukewjz7-vfmcvzahwhfogkhu5rc-eq9fkhkab6bagbedm 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipo2ghdlkbb5lnc3inu4o-hpjc2wmkj1jyqnawcz&sa=x&ved=2ahukewjz7-vfmcvzahwhfogkhu5rc-eq9fkhkab6bagbefs|!1e10!2saf1qippykcjkmyu88sq-hvqcrt__dnz5nfmcedtvsrcq&sa=x&ved=2ahukewjz7-vfmcvzahwhfogkhu5rc-eq9fkhkaf6bagbefw|!1e10!2saf1qipnfp4vicb8yi2brd-wlkheq70tcuq_t1r2tjsgi&sa=x&ved=2ahukewjz7-vfmcvzahwhfogkhu5rc-eq9fkhkaj6bagbef0|!1e10!2saf1qipom6i9oqjhmsq3l16tvxw8qhjbnpq7jjf5sqdwi&sa=x&ved=2ahukewjz7-vfmcvzahwhfogkhu5rc-eq9fkhkan6bagbef4|!1e10!2saf1qipo3hfzhsvx8jizchywupn_ospiaw3ug2ua9yphd&sa=x&ved=2ahukewjz7-vfmcvzahwhfogkhu5rc-eq9fkhkar6bagbef8|!1e10!2saf1qipn_uqjl-ihmnf5bghgfitkxrcdb52iqfjb4b9ru&sa=x&ved=2ahukewjz7-vfmcvzahwhfogkhu5rc-eq9fkhkav6bagbega|!1e10!2saf1qipn9rfpbboll1x-kitxzhosbokalt-6xoiwhikxj&sa=x&ved=2ahukewjz7-vfmcvzahwhfogkhu5rc-eq9fkhkaz6bagbege|!1e10!2saf1qipoqqlnlrz1ugbvrmylah_iklkp-bswylnekteyx&sa=x&ved=2ahukewjz7-vfmcvzahwhfogkhu5rc-eq9fkhkad6bagbegi 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipmik4v897xgkxw4l7o6rrxzdxvpgtdzolpsutki&sa=x&ved=2ahukewj31sjgmcvzahwsd94khywba1oq9fkhkab6bagbeao|!1e10!2saf1qipncmde37kkceoldd5wcofbclrgz8xdd_9j0neas&sa=x&ved=2ahukewj31sjgmcvzahwsd94khywba1oq9fkhkaf6bagbeas|!1e10!2saf1qipnwkdj-sntpmzgxn9mhyxghey74lx7_fjgbs4vs&sa=x&ved=2ahukewj31sjgmcvzahwsd94khywba1oq9fkhkaj6bagbeaw|!1e10!2saf1qipp3nlnole4muy90zb1jgij1okvalx9pehc6i_qm&sa=x&ved=2ahukewj31sjgmcvzahwsd94khywba1oq9fkhkan6bagbea0|!1e10!2saf1qipnfw76i9wbqeds_tfa2bomfog63dlmp9rjeqr7m&sa=x&ved=2ahukewj31sjgmcvzahwsd94khywba1oq9fkhkar6bagbea4|!1e10!2saf1qipnwx0kpanm8yfa5g2mvin3aw3gvarmphyp7hvgq&sa=x&ved=2ahukewj31sjgmcvzahwsd94khywba1oq9fkhkav6bagbea8|!1e10!2saf1qipp3flw5tr5tg2_ccoy3skaafpia_szx0uvlibrm&sa=x&ved=2ahukewj31sjgmcvzahwsd94khywba1oq9fkhkaz6bagbeba|!1e10!2saf1qipoqsewrauhhoaovnl-i1jsfgw4pxc4qtxhc0z9p&sa=x&ved=2ahukewj31sjgmcvzahwsd94khywba1oq9fkhkad6bagbebe 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipmwtes0vb90omww_d68ptdepnj3lhssjbvcw3ss&sa=x&ved=2ahukewj31sjgmcvzahwsd94khywba1oq9fkhkab6bagbedy 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipoqkka-sjsl4vvll2nczcq6x0mievozwdvgsftr&sa=x&ved=2ahukewj31sjgmcvzahwsd94khywba1oq9fkhkab6bagbeem|!1e10!2saf1qipplpgtszcpwmawcogr0xnbbipa3qofnm95c8hhl&sa=x&ved=2ahukewj31sjgmcvzahwsd94khywba1oq9fkhkaf6bagbeeq|!1e10!2saf1qipno3kqapol7juaxw86teyqg7i7i6unooi2ycxsr&sa=x&ved=2ahukewj31sjgmcvzahwsd94khywba1oq9fkhkaj6bagbeeu 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipmxc3nxguhppelm2zwdnsqtz5qdqxycmji9zxxb&sa=x&ved=2ahukewjzhajhmcvzahuceigkhegqatyq9fkhkab6bagbeao|!1e10!2saf1qippckc3nehrnyjugrn63sgwf_tc7yguzjoddkdl6&sa=x&ved=2ahukewjzhajhmcvzahuceigkhegqatyq9fkhkaf6bagbeas|!1e10!2saf1qipmz3xwbi1gl-wrlu95ifc0ypm-fp2egepfwjei5&sa=x&ved=2ahukewjzhajhmcvzahuceigkhegqatyq9fkhkaj6bagbeaw|!1e10!2saf1qippx-rozcrsbbpt6a_a9hfm9jkykzadnmd0rsiyd&sa=x&ved=2ahukewjzhajhmcvzahuceigkhegqatyq9fkhkan6bagbea0|!1e10!2saf1qipombny9c37h6tx5u-dkmy2hb3meomu-lipjmlm1&sa=x&ved=2ahukewjzhajhmcvzahuceigkhegqatyq9fkhkar6bagbea4|!1e10!2saf1qipntzwwl-beofm17wr6t1qdcn2ttzyxxono-se73&sa=x&ved=2ahukewjzhajhmcvzahuceigkhegqatyq9fkhkav6bagbea8|!1e10!2saf1qipo0okqgyliqb4jkq9yfandzbqe-kjyytyxl6kw2&sa=x&ved=2ahukewjzhajhmcvzahuceigkhegqatyq9fkhkaz6bagbeba|!1e10!2saf1qipnmw1cgx82evvalzz4-3o_m-ieztry73lharzpd&sa=x&ved=2ahukewjzhajhmcvzahuceigkhegqatyq9fkhkad6bagbebe 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qippnrqt2smvcnbpbzgakjdmb9mskzbphaaps9nqc&sa=x&ved=2ahukewjzhajhmcvzahuceigkhegqatyq9fkhkab6bagbefa|!1e10!2saf1qipptawbszjgpioqninpybumiox_x_vtsq_je3gd2&sa=x&ved=2ahukewjzhajhmcvzahuceigkhegqatyq9fkhkaf6bagbefe 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipoplhcawg8qjijacqwixwdneoeezgxmvjx0hdvb&sa=x&ved=2ahukewjzhajhmcvzahuceigkhegqatyq9fkhkab6bagbeg4 1
 
0.5%
Other values (41) 41
 
20.6%
2023-12-10T15:34:48.528978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 957
 
3.9%
A 888
 
3.6%
e 687
 
2.8%
c 633
 
2.6%
Q 628
 
2.5%
2 623
 
2.5%
a 598
 
2.4%
s 586
 
2.4%
K 582
 
2.3%
0 577
 
2.3%
Other values (62) 18019
72.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10199
41.2%
Uppercase Letter 8067
32.6%
Decimal Number 4232
17.1%
Other Punctuation 1444
 
5.8%
Math Symbol 587
 
2.4%
Dash Punctuation 130
 
0.5%
Connector Punctuation 119
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 888
 
11.0%
Q 628
 
7.8%
K 582
 
7.2%
B 556
 
6.9%
E 504
 
6.2%
X 490
 
6.1%
H 477
 
5.9%
F 409
 
5.1%
U 310
 
3.8%
Z 284
 
3.5%
Other values (16) 2939
36.4%
Lowercase Letter
ValueCountFrequency (%)
e 687
 
6.7%
c 633
 
6.2%
a 598
 
5.9%
s 586
 
5.7%
d 572
 
5.6%
h 537
 
5.3%
g 530
 
5.2%
v 517
 
5.1%
i 465
 
4.6%
m 463
 
4.5%
Other values (16) 4611
45.2%
Decimal Number
ValueCountFrequency (%)
1 957
22.6%
2 623
14.7%
0 577
13.6%
5 406
9.6%
9 404
9.5%
3 332
 
7.8%
6 310
 
7.3%
7 258
 
6.1%
4 189
 
4.5%
8 176
 
4.2%
Other Punctuation
ValueCountFrequency (%)
! 572
39.6%
& 422
29.2%
/ 200
 
13.9%
. 100
 
6.9%
: 100
 
6.9%
? 50
 
3.5%
Math Symbol
ValueCountFrequency (%)
= 472
80.4%
| 115
 
19.6%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18266
73.7%
Common 6512
 
26.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 888
 
4.9%
e 687
 
3.8%
c 633
 
3.5%
Q 628
 
3.4%
a 598
 
3.3%
s 586
 
3.2%
K 582
 
3.2%
d 572
 
3.1%
B 556
 
3.0%
h 537
 
2.9%
Other values (42) 11999
65.7%
Common
ValueCountFrequency (%)
1 957
14.7%
2 623
9.6%
0 577
8.9%
! 572
 
8.8%
= 472
 
7.2%
& 422
 
6.5%
5 406
 
6.2%
9 404
 
6.2%
3 332
 
5.1%
6 310
 
4.8%
Other values (10) 1437
22.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24778
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 957
 
3.9%
A 888
 
3.6%
e 687
 
2.8%
c 633
 
2.6%
Q 628
 
2.5%
2 623
 
2.5%
a 598
 
2.4%
s 586
 
2.4%
K 582
 
2.3%
0 577
 
2.3%
Other values (62) 18019
72.7%

19시간 전
Categorical

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1달 전
68 
2달 전
57 
1주 전
24 
2주 전
21 
3주 전
9 
Other values (8)
20 

Length

Max length6
Median length4
Mean length4.0100503
Min length4

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row19시간 전
2nd row1일 전
3rd row1일 전
4th row1일 전
5th row2일 전

Common Values

ValueCountFrequency (%)
1달 전 68
34.2%
2달 전 57
28.6%
1주 전 24
 
12.1%
2주 전 21
 
10.6%
3주 전 9
 
4.5%
5일 전 4
 
2.0%
6일 전 4
 
2.0%
1일 전 3
 
1.5%
3일 전 3
 
1.5%
4일 전 2
 
1.0%
Other values (3) 4
 
2.0%

Length

2023-12-10T15:34:48.845141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전 199
50.0%
1달 68
 
17.1%
2달 57
 
14.3%
1주 24
 
6.0%
2주 21
 
5.3%
3주 9
 
2.3%
5일 4
 
1.0%
6일 4
 
1.0%
1일 3
 
0.8%
3일 3
 
0.8%
Other values (4) 6
 
1.5%

20211020
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
20211020
199 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20211020
2nd row20211020
3rd row20211020
4th row20211020
5th row20211020

Common Values

ValueCountFrequency (%)
20211020 199
100.0%

Length

2023-12-10T15:34:49.044168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:34:49.208616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20211020 199
100.0%

5.0
Categorical

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
5
106 
4
53 
3
29 
2
 
8
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row5
4th row4
5th row5

Common Values

ValueCountFrequency (%)
5 106
53.3%
4 53
26.6%
3 29
 
14.6%
2 8
 
4.0%
1 3
 
1.5%

Length

2023-12-10T15:34:49.367467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:34:49.572164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 106
53.3%
4 53
26.6%
3 29
 
14.6%
2 8
 
4.0%
1 3
 
1.5%

Interactions

2023-12-10T15:34:41.547748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:34:41.205603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:34:41.682868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:34:41.383671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:34:49.740742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
X00.1X.219시간 전5.0
X1.0000.3900.1830.0000.2050.038
00.3901.0000.8320.9320.0000.000
0.10.1830.8321.0000.9160.0000.000
X.20.0000.9320.9161.0000.0000.000
19시간 전0.2050.0000.0000.0001.0000.000
5.00.0380.0000.0000.0000.0001.000
2023-12-10T15:34:49.946683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
19시간 전5.0X
19시간 전1.0000.0000.185
5.00.0001.0000.045
X0.1850.0451.000
2023-12-10T15:34:50.178428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
00.1X19시간 전5.0
01.0000.7190.3830.0000.000
0.10.7191.0000.1300.0000.000
X0.3830.1301.0000.1850.045
19시간 전0.0000.0000.1851.0000.000
5.00.0000.0000.0450.0001.000

Missing values

2023-12-10T15:34:41.901685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:34:42.146742image/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

1100고지 제주서귀포시의 휴게소X00.1X.1X.219시간 전202110205.0
01100고지 제주서귀포시의 휴게소X81별이 잘 보입니다X19시간 전202110204
11100고지 제주서귀포시의 휴게소X2285XX1일 전202110203
21100고지 제주서귀포시의 휴게소지역 가이드79381밤중에 별보기 명당. 운전조심 하시구요X1일 전202110205
31100고지 제주서귀포시의 휴게소지역 가이드1381338XX1일 전202110204
41100고지 제주서귀포시의 휴게소X1817언제가도 즐거운 곳X2일 전202110205
51100고지 제주서귀포시의 휴게소지역 가이드12522한라산 중턱에 습지가 괜찮네요~^X3일 전202110205
61100고지 제주서귀포시의 휴게소X10XX3일 전202110205
71100고지 제주서귀포시의 휴게소지역 가이드20183XX3일 전202110205
81100고지 제주서귀포시의 휴게소지역 가이드144491제주도는 한라산 !!여러 탐방로가 많지만... 일정상 건강상 등등 여러 이유로 한라산을 패스한다면 너무 아쉬울 듯... 그럴땐 1100고지를 들리면 좋을것 같다.1100고지 휴게소를 검색해서 오면 되고| 길건너 산책로를 통해 한라산의 생태를 알 수 있다. 산책은 20여분 정도 걸린다. 나무데크 돌고 나면 원점회기!!1100고지 휴게소에서 차도 건널때는 조심조심!!! 차도랑 바로 맞다아 있어서 휴게소 진입차량| 그냥 지나가는 차량 꼭꼭 확인하고 건너야 한다.밤에는 별이 엄청 잘보인다고 하더라... 다음엔 밤에 도전!!https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipM7Z58TdadMEBt19PY2VV8d2JNbfpJ1xES6B_NQ&sa=X&ved=2ahUKEwi2vdHWmcvzAhWOZd4KHX2mAg8Q9fkHKAB6BAgBEGg|!1e10!2sAF1QipOqLnZmSH0oH1gz7bZ8Tx-4efKdJhB5IYRRF4eS&sa=X&ved=2ahUKEwi2vdHWmcvzAhWOZd4KHX2mAg8Q9fkHKAF6BAgBEGk|!1e10!2sAF1QipNDYGamVEDVoxtm5A6BHMiWXBpD_Skq4AUl0IW0&sa=X&ved=2ahUKEwi2vdHWmcvzAhWOZd4KHX2mAg8Q9fkHKAJ6BAgBEGo4일 전202110205
91100고지 제주서귀포시의 휴게소지역 가이드140XX4일 전202110202
1100고지 제주서귀포시의 휴게소X00.1X.1X.219시간 전202110205.0
1891100고지 제주서귀포시의 휴게소X00XX2달 전202110203
1901100고지 제주서귀포시의 휴게소지역 가이드9195230그냥 기념품집~~간단한 먹거리https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipOgreaqLJnN4RNAj2jrPWOKOasQ9G6bRbwdwCYd&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAB6BAgBEBE|!1e10!2sAF1QipPydICyz7nlBd4dRwan-GcTkQIJ577YA5E3kkKD&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAF6BAgBEBI|!1e10!2sAF1QipMYCUWKux2qiB1zEPCThjmyaeJ2fZNylxmCPOtw&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAJ6BAgBEBM|!1e10!2sAF1QipPj5MoQwt1fGH6ll1hpTiHvyIwyxpau3g9UUvKs&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAN6BAgBEBQ|!1e10!2sAF1QipN6dUPSaOa43TLOTw5nll8bQrHv1wreyZfVt9-W&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAR6BAgBEBU|!1e10!2sAF1QipOj3cCXZ_nXSqbLjknuNhjREF0JDy103R_I7N2t&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAV6BAgBEBY|!1e10!2sAF1QipN2gGZ9_uRK_JnE09LP0QjwywOevn4zxw0fyi7E&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAZ6BAgBEBc2달 전202110205
1911100고지 제주서귀포시의 휴게소지역 가이드262758꼬불꼬불한 길을 한참 올라가다보면 나오는 1100고지휴게소. 1100고지 휴게소 자체는 별볼일 없고 길건너편에 자연산책로가 있다. 천천히 걸어도 10분정도면 한바퀴 도는 코스라 부담없이 산책할수있음.https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipPGlBD5O9R2bPLJ4Tt2cP9boWC0HFFU5k0BhD-M&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAB6BAgBECQ|!1e10!2sAF1QipP67INw_y7AkyOmvDLYBnJDKRFV0lEItl4CXGhG&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAF6BAgBECU|!1e10!2sAF1QipOSfsZQAz1QPEkjfTOxl0fix_megC4p8FcS9R2x&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAJ6BAgBECY|!1e10!2sAF1QipN_rVDw-r7nLC9Av7G2IovQDzkjEly0ZG46i87x&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAN6BAgBECc|!1e10!2sAF1QipPMgDhieYTz3qCuu9vmOE9HAgdBJpjnXkcbaXIJ&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAR6BAgBECg2달 전202110204
1921100고지 제주서귀포시의 휴게소X130공기좋음X2달 전202110204
1931100고지 제주서귀포시의 휴게소X41XX2달 전202110202
1941100고지 제주서귀포시의 휴게소지역 가이드77295코로나 핑계로 상점만 문을 열고 전망대는 오르지 못하게 한다. 물건만 팔겠다는 얄팍한 심산이다. 화장실은 대변기도 물과 휴지가 꽉 차 사용을 할 수 없고 소변기도 물이 가득차 사용할 수 없었다. 집사람 또한 마찬가지였다니. 헐이다. 제주에서 최악의 곳이었다.X2달 전202110201
1951100고지 제주서귀포시의 휴게소지역 가이드13215제주 밤하늘 보기 가장 좋은 장소. 하지만 밤늦게 사람들이 별보려고 주차장에 누워있어서 조심하셔야 합니다.https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipMlcWh2RkgosTfzWn5hlZDWRimhmAHxBjO54UBk&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAB6BAgBEFM2달 전202110204
1961100고지 제주서귀포시의 휴게소지역 가이드39685Xhttps://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNhptGAkq9kwAF9GVeQfCiE94kLeTA35CIfNOIC&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAB6BAgBEGA|!1e10!2sAF1QipMjxMnB3kK7_fuiuO_N-NSmpwRAC3nxIERtL-7Y&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAF6BAgBEGE|!1e10!2sAF1QipMhkEJEx1CFpU5oTIlf8MTaVQckDsKzYdl3BVSf&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAJ6BAgBEGI|!1e10!2sAF1QipP8klwq1Gy8FREgVTElGTpYuXYRBFVN7t3DpwFb&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAN6BAgBEGM2달 전202110205
1971100고지 제주서귀포시의 휴게소지역 가이드289102화장실은 왜 막았나?일찍 가서 긍가X2달 전202110203
1981100고지 제주서귀포시의 휴게소X811맑은날 밤에가서 보면 정말 이뻐요!! 별이 진짜 많아요!https://www.google.com/maps/uv?pb=!1s0x350c57c0decbb733:0xd9bf1dcb826c5b1a!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipOtofspT7p1KcbRo1PC2xnHwzahshVnYJ4P9mx7&sa=X&ved=2ahUKEwiznZzkmcvzAhWbFIgKHdFIAQ8Q9fkHKAB6BAgBEHg2달 전202110205

Duplicate rows

Most frequently occurring

1100고지 제주서귀포시의 휴게소X00.1X.1X.219시간 전202110205.0# duplicates
01100고지 제주서귀포시의 휴게소X00XX1달 전2021102032
11100고지 제주서귀포시의 휴게소X10XX1달 전2021102052