Overview

Dataset statistics

Number of variables9
Number of observations5373
Missing cells1429
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory393.7 KiB
Average record size in memory75.0 B

Variable types

Numeric3
Text3
DateTime2
Boolean1

Dataset

Description제주관광정보시스템(VISITJEJU)의 여행장소 정보로 장소ID, 장소명, 도로명주소, 장소상세설명, 위도, 경도, 등록일시, 수정일시 등의 정보를 제공합니다.
Author제주관광공사
URLhttps://www.data.go.kr/data/15049995/fileData.do

Alerts

사용여부 has constant value ""Constant
도로명주소 has 1399 (26.0%) missing valuesMissing
위도 is highly skewed (γ1 = 31.69784728)Skewed
경도 is highly skewed (γ1 = -49.43132718)Skewed
장소아이디 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:13:31.906305
Analysis finished2024-03-23 05:13:39.159631
Duration7.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장소아이디
Real number (ℝ)

UNIQUE 

Distinct5373
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3496.0685
Minimum101
Maximum6841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.4 KiB
2024-03-23T05:13:39.401284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile550.4
Q11883
median3498
Q35135
95-th percentile6455.4
Maximum6841
Range6740
Interquartile range (IQR)3252

Descriptive statistics

Standard deviation1893.1107
Coefficient of variation (CV)0.54149702
Kurtosis-1.1907304
Mean3496.0685
Median Absolute Deviation (MAD)1627
Skewness0.005189901
Sum18784376
Variance3583868
MonotonicityNot monotonic
2024-03-23T05:13:40.272047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
428 1
 
< 0.1%
2824 1
 
< 0.1%
2808 1
 
< 0.1%
2805 1
 
< 0.1%
2770 1
 
< 0.1%
2758 1
 
< 0.1%
2732 1
 
< 0.1%
2807 1
 
< 0.1%
2714 1
 
< 0.1%
2839 1
 
< 0.1%
Other values (5363) 5363
99.8%
ValueCountFrequency (%)
101 1
< 0.1%
102 1
< 0.1%
112 1
< 0.1%
113 1
< 0.1%
126 1
< 0.1%
137 1
< 0.1%
159 1
< 0.1%
170 1
< 0.1%
192 1
< 0.1%
200 1
< 0.1%
ValueCountFrequency (%)
6841 1
< 0.1%
6840 1
< 0.1%
6839 1
< 0.1%
6838 1
< 0.1%
6835 1
< 0.1%
6834 1
< 0.1%
6833 1
< 0.1%
6832 1
< 0.1%
6831 1
< 0.1%
6830 1
< 0.1%

장소명
Text

Distinct3161
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size42.1 KiB
2024-03-23T05:13:41.222837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length5.4126186
Min length1

Characters and Unicode

Total characters29082
Distinct characters842
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2630 ?
Unique (%)48.9%

Sample

1st row하우목동포구
2nd row렌트카반납
3rd row대구공항
4th row사려니숲길
5th row칠돈가
ValueCountFrequency (%)
제주공항 418
 
6.4%
공항 187
 
2.8%
제주 133
 
2.0%
제주국제공항 113
 
1.7%
숙소 98
 
1.5%
제주항 70
 
1.1%
호텔 70
 
1.1%
우편발송 63
 
1.0%
성산일출봉 52
 
0.8%
도착 46
 
0.7%
Other values (3246) 5313
81.0%
2024-03-23T05:13:42.660921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 1307
 
4.5%
1250
 
4.3%
주 1189
 
4.1%
항 954
 
3.3%
공 884
 
3.0%
스 474
 
1.6%
리 459
 
1.6%
이 393
 
1.4%
트 389
 
1.3%
해 363
 
1.2%
Other values (832) 21420
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26476
91.0%
Space Separator 1250
 
4.3%
Decimal Number 435
 
1.5%
Lowercase Letter 306
 
1.1%
Close Punctuation 156
 
0.5%
Open Punctuation 156
 
0.5%
Uppercase Letter 156
 
0.5%
Other Punctuation 103
 
0.4%
Dash Punctuation 32
 
0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1307
 
4.9%
주 1189
 
4.5%
항 954
 
3.6%
공 884
 
3.3%
스 474
 
1.8%
리 459
 
1.7%
이 393
 
1.5%
트 389
 
1.5%
해 363
 
1.4%
카 363
 
1.4%
Other values (757) 19701
74.4%
Lowercase Letter
ValueCountFrequency (%)
s 39
12.7%
d 36
11.8%
a 32
 
10.5%
f 26
 
8.5%
c 20
 
6.5%
t 17
 
5.6%
n 14
 
4.6%
e 13
 
4.2%
r 12
 
3.9%
k 12
 
3.9%
Other values (16) 85
27.8%
Uppercase Letter
ValueCountFrequency (%)
S 18
11.5%
R 15
 
9.6%
K 13
 
8.3%
A 13
 
8.3%
J 12
 
7.7%
T 11
 
7.1%
O 11
 
7.1%
M 10
 
6.4%
E 8
 
5.1%
D 6
 
3.8%
Other values (13) 39
25.0%
Decimal Number
ValueCountFrequency (%)
1 119
27.4%
2 74
17.0%
3 53
12.2%
0 53
12.2%
9 30
 
6.9%
7 29
 
6.7%
8 23
 
5.3%
4 23
 
5.3%
5 19
 
4.4%
6 12
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 25
24.3%
. 24
23.3%
/ 18
17.5%
: 15
14.6%
& 12
11.7%
' 4
 
3.9%
" 2
 
1.9%
? 2
 
1.9%
! 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
~ 8
88.9%
< 1
 
11.1%
Space Separator
ValueCountFrequency (%)
1250
100.0%
Close Punctuation
ValueCountFrequency (%)
) 156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26476
91.0%
Common 2144
 
7.4%
Latin 462
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1307
 
4.9%
주 1189
 
4.5%
항 954
 
3.6%
공 884
 
3.3%
스 474
 
1.8%
리 459
 
1.7%
이 393
 
1.5%
트 389
 
1.5%
해 363
 
1.4%
카 363
 
1.4%
Other values (757) 19701
74.4%
Latin
ValueCountFrequency (%)
s 39
 
8.4%
d 36
 
7.8%
a 32
 
6.9%
f 26
 
5.6%
c 20
 
4.3%
S 18
 
3.9%
t 17
 
3.7%
R 15
 
3.2%
n 14
 
3.0%
e 13
 
2.8%
Other values (39) 232
50.2%
Common
ValueCountFrequency (%)
1250
58.3%
) 156
 
7.3%
( 156
 
7.3%
1 119
 
5.6%
2 74
 
3.5%
3 53
 
2.5%
0 53
 
2.5%
- 32
 
1.5%
9 30
 
1.4%
7 29
 
1.4%
Other values (16) 192
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26476
91.0%
ASCII 2606
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 1307
 
4.9%
주 1189
 
4.5%
항 954
 
3.6%
공 884
 
3.3%
스 474
 
1.8%
리 459
 
1.7%
이 393
 
1.5%
트 389
 
1.5%
해 363
 
1.4%
카 363
 
1.4%
Other values (757) 19701
74.4%
ASCII
ValueCountFrequency (%)
1250
48.0%
) 156
 
6.0%
( 156
 
6.0%
1 119
 
4.6%
2 74
 
2.8%
3 53
 
2.0%
0 53
 
2.0%
s 39
 
1.5%
d 36
 
1.4%
a 32
 
1.2%
Other values (65) 638
24.5%

도로명주소
Text

MISSING 

Distinct2101
Distinct (%)52.9%
Missing1399
Missing (%)26.0%
Memory size42.1 KiB
2024-03-23T05:13:43.893816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length23.240564
Min length16

Characters and Unicode

Total characters92358
Distinct characters495
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1399 ?
Unique (%)35.2%

Sample

1st row제주특별자치도 서귀포시 성산등용로 112-7
2nd row제주특별자치도 제주시 서해안로 687-6
3rd row대구광역시 동구 공항로 221 대국국제공항
4th row제주특별자치도 제주시 명림로 584 절물휴양림
5th row제주특별자치도 서귀포시 민속해안로 537
ValueCountFrequency (%)
제주특별자치도 3929
22.5%
제주시 2481
 
14.2%
서귀포시 1447
 
8.3%
2 287
 
1.6%
공항로 275
 
1.6%
안덕면 140
 
0.8%
표선면 92
 
0.5%
제주국제공항 83
 
0.5%
일주동로 82
 
0.5%
1100로 70
 
0.4%
Other values (2524) 8587
49.1%
2024-03-23T05:13:44.995245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13499
 
14.6%
주 6903
 
7.5%
제 6870
 
7.4%
도 4184
 
4.5%
시 4015
 
4.3%
자 3987
 
4.3%
별 3957
 
4.3%
치 3954
 
4.3%
특 3953
 
4.3%
로 3161
 
3.4%
Other values (485) 37875
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64269
69.6%
Space Separator 13499
 
14.6%
Decimal Number 13348
 
14.5%
Dash Punctuation 1084
 
1.2%
Uppercase Letter 103
 
0.1%
Lowercase Letter 36
 
< 0.1%
Other Punctuation 15
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 6903
 
10.7%
제 6870
 
10.7%
도 4184
 
6.5%
시 4015
 
6.2%
자 3987
 
6.2%
별 3957
 
6.2%
치 3954
 
6.2%
특 3953
 
6.2%
로 3161
 
4.9%
서 1884
 
2.9%
Other values (440) 21401
33.3%
Uppercase Letter
ValueCountFrequency (%)
A 16
15.5%
T 14
13.6%
C 13
12.6%
R 7
 
6.8%
O 7
 
6.8%
S 6
 
5.8%
E 5
 
4.9%
V 5
 
4.9%
K 4
 
3.9%
M 4
 
3.9%
Other values (9) 22
21.4%
Decimal Number
ValueCountFrequency (%)
1 2900
21.7%
2 2113
15.8%
3 1351
10.1%
4 1214
9.1%
6 1132
 
8.5%
5 1097
 
8.2%
0 1053
 
7.9%
7 978
 
7.3%
8 873
 
6.5%
9 637
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 6
16.7%
a 6
16.7%
u 6
16.7%
i 3
8.3%
j 3
8.3%
t 3
8.3%
q 3
8.3%
n 3
8.3%
l 3
8.3%
Other Punctuation
ValueCountFrequency (%)
. 11
73.3%
? 2
 
13.3%
& 2
 
13.3%
Space Separator
ValueCountFrequency (%)
13499
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1084
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64269
69.6%
Common 27950
30.3%
Latin 139
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 6903
 
10.7%
제 6870
 
10.7%
도 4184
 
6.5%
시 4015
 
6.2%
자 3987
 
6.2%
별 3957
 
6.2%
치 3954
 
6.2%
특 3953
 
6.2%
로 3161
 
4.9%
서 1884
 
2.9%
Other values (440) 21401
33.3%
Latin
ValueCountFrequency (%)
A 16
 
11.5%
T 14
 
10.1%
C 13
 
9.4%
R 7
 
5.0%
O 7
 
5.0%
S 6
 
4.3%
e 6
 
4.3%
a 6
 
4.3%
u 6
 
4.3%
E 5
 
3.6%
Other values (18) 53
38.1%
Common
ValueCountFrequency (%)
13499
48.3%
1 2900
 
10.4%
2 2113
 
7.6%
3 1351
 
4.8%
4 1214
 
4.3%
6 1132
 
4.1%
5 1097
 
3.9%
- 1084
 
3.9%
0 1053
 
3.8%
7 978
 
3.5%
Other values (7) 1529
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64269
69.6%
ASCII 28089
30.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13499
48.1%
1 2900
 
10.3%
2 2113
 
7.5%
3 1351
 
4.8%
4 1214
 
4.3%
6 1132
 
4.0%
5 1097
 
3.9%
- 1084
 
3.9%
0 1053
 
3.7%
7 978
 
3.5%
Other values (35) 1668
 
5.9%
Hangul
ValueCountFrequency (%)
주 6903
 
10.7%
제 6870
 
10.7%
도 4184
 
6.5%
시 4015
 
6.2%
자 3987
 
6.2%
별 3957
 
6.2%
치 3954
 
6.2%
특 3953
 
6.2%
로 3161
 
4.9%
서 1884
 
2.9%
Other values (440) 21401
33.3%

위도
Real number (ℝ)

SKEWED 

Distinct5001
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.53373
Minimum33.051853
Maximum126.3821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.4 KiB
2024-03-23T05:13:45.410109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.051853
5-th percentile33.23981
Q133.330623
median33.46355
Q333.504444
95-th percentile33.541516
Maximum126.3821
Range93.330248
Interquartile range (IQR)0.1738212

Descriptive statistics

Standard deviation2.2534241
Coefficient of variation (CV)0.06719873
Kurtosis1162.5005
Mean33.53373
Median Absolute Deviation (MAD)0.0476266
Skewness31.697847
Sum180176.73
Variance5.07792
MonotonicityNot monotonic
2024-03-23T05:13:45.886962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.4622511 18
 
0.3%
33.5034853 17
 
0.3%
33.501195 12
 
0.2%
33.5066343 11
 
0.2%
33.5000498 9
 
0.2%
33.506348 9
 
0.2%
33.5062049 9
 
0.2%
33.5057755 9
 
0.2%
33.5059186 8
 
0.1%
33.5046304 7
 
0.1%
Other values (4991) 5264
98.0%
ValueCountFrequency (%)
33.0518526 1
< 0.1%
33.0720247 1
< 0.1%
33.0744744 1
< 0.1%
33.1112912 1
< 0.1%
33.1140193 1
< 0.1%
33.1144625 1
< 0.1%
33.1148511 1
< 0.1%
33.1151385 1
< 0.1%
33.1201711 1
< 0.1%
33.1220261 1
< 0.1%
ValueCountFrequency (%)
126.382101 1
 
< 0.1%
126.362101 1
 
< 0.1%
70.223 7
0.1%
37.5731518 1
 
< 0.1%
37.5668056 1
 
< 0.1%
37.5667614 1
 
< 0.1%
37.5667214 1
 
< 0.1%
37.5660641 1
 
< 0.1%
37.5650951 1
 
< 0.1%
37.5632832 1
 
< 0.1%

경도
Real number (ℝ)

SKEWED 

Distinct4969
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.51306
Minimum33.406247
Maximum129.10471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.4 KiB
2024-03-23T05:13:46.351591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.406247
5-th percentile126.25161
Q1126.42395
median126.49838
Q3126.67398
95-th percentile126.93124
Maximum129.10471
Range95.698463
Interquartile range (IQR)0.2500395

Descriptive statistics

Standard deviation1.8259232
Coefficient of variation (CV)0.014432685
Kurtosis2517.052
Mean126.51306
Median Absolute Deviation (MAD)0.1243826
Skewness-49.431327
Sum679754.69
Variance3.3339954
MonotonicityNot monotonic
2024-03-23T05:13:46.790702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.4933971 19
 
0.4%
126.3279155 18
 
0.3%
126.4940837 18
 
0.3%
126.4937404 14
 
0.3%
126.4930537 14
 
0.3%
126.4927104 13
 
0.2%
126.4932254 12
 
0.2%
126.495457 11
 
0.2%
126.4928821 10
 
0.2%
126.4947704 10
 
0.2%
Other values (4959) 5234
97.4%
ValueCountFrequency (%)
33.406247 1
 
< 0.1%
33.406249 1
 
< 0.1%
120.111 7
0.1%
125.7037548 3
0.1%
125.8949452 1
 
< 0.1%
126.0053455 1
 
< 0.1%
126.0404914 1
 
< 0.1%
126.0580638 1
 
< 0.1%
126.1020091 2
 
< 0.1%
126.1342815 1
 
< 0.1%
ValueCountFrequency (%)
129.1047101 1
< 0.1%
129.0800981 1
< 0.1%
128.9468004 1
< 0.1%
128.9467815 1
< 0.1%
128.7981614 1
< 0.1%
128.6391295 1
< 0.1%
128.6377962 1
< 0.1%
128.6376193 1
< 0.1%
128.6373515 1
< 0.1%
127.7488328 1
< 0.1%

등록일시
Date

Distinct5364
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size42.1 KiB
Minimum2018-01-04 12:16:57
Maximum2024-03-07 18:05:53
2024-03-23T05:13:47.598964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:13:48.253564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일시
Date

Distinct5364
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size42.1 KiB
Minimum2018-01-04 12:16:57
Maximum2024-03-07 18:05:53
2024-03-23T05:13:48.757967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:13:49.216123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지번주소
Text

Distinct3604
Distinct (%)67.1%
Missing1
Missing (%)< 0.1%
Memory size42.1 KiB
2024-03-23T05:13:50.221429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length22.597357
Min length4

Characters and Unicode

Total characters121393
Distinct characters184
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

Unique3006 ?
Unique (%)56.0%

Sample

1st row제주특별자치도 서귀포시 성산읍 성산리 347-9
2nd row제주특별자치도 제주시 용담2동 1032-4
3rd row대구광역시 동구 지저동 400-5
4th row제주특별자치도 제주시 봉개동 산78-1
5th row제주특별자치도 서귀포시 표선면 표선리 40-69
ValueCountFrequency (%)
제주특별자치도 5239
22.2%
제주시 3381
 
14.3%
서귀포시 1858
 
7.9%
용담2동 810
 
3.4%
성산읍 494
 
2.1%
애월읍 415
 
1.8%
구좌읍 370
 
1.6%
조천읍 287
 
1.2%
한림읍 280
 
1.2%
안덕면 256
 
1.1%
Other values (3402) 10195
43.2%
2024-03-23T05:13:51.960474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18213
 
15.0%
주 8634
 
7.1%
제 8620
 
7.1%
도 5717
 
4.7%
시 5325
 
4.4%
특 5257
 
4.3%
별 5257
 
4.3%
자 5241
 
4.3%
치 5239
 
4.3%
1 4304
 
3.5%
Other values (174) 49586
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79265
65.3%
Decimal Number 21048
 
17.3%
Space Separator 18213
 
15.0%
Dash Punctuation 2853
 
2.4%
Other Punctuation 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8634
 
10.9%
제 8620
 
10.9%
도 5717
 
7.2%
시 5325
 
6.7%
특 5257
 
6.6%
별 5257
 
6.6%
자 5241
 
6.6%
치 5239
 
6.6%
리 2731
 
3.4%
동 2661
 
3.4%
Other values (161) 24583
31.0%
Decimal Number
ValueCountFrequency (%)
1 4304
20.4%
2 4168
19.8%
3 1873
8.9%
4 1751
8.3%
0 1735
8.2%
5 1570
 
7.5%
6 1495
 
7.1%
7 1407
 
6.7%
9 1391
 
6.6%
8 1354
 
6.4%
Space Separator
ValueCountFrequency (%)
18213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2853
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79265
65.3%
Common 42128
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8634
 
10.9%
제 8620
 
10.9%
도 5717
 
7.2%
시 5325
 
6.7%
특 5257
 
6.6%
별 5257
 
6.6%
자 5241
 
6.6%
치 5239
 
6.6%
리 2731
 
3.4%
동 2661
 
3.4%
Other values (161) 24583
31.0%
Common
ValueCountFrequency (%)
18213
43.2%
1 4304
 
10.2%
2 4168
 
9.9%
- 2853
 
6.8%
3 1873
 
4.4%
4 1751
 
4.2%
0 1735
 
4.1%
5 1570
 
3.7%
6 1495
 
3.5%
7 1407
 
3.3%
Other values (3) 2759
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79265
65.3%
ASCII 42128
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18213
43.2%
1 4304
 
10.2%
2 4168
 
9.9%
- 2853
 
6.8%
3 1873
 
4.4%
4 1751
 
4.2%
0 1735
 
4.1%
5 1570
 
3.7%
6 1495
 
3.5%
7 1407
 
3.3%
Other values (3) 2759
 
6.5%
Hangul
ValueCountFrequency (%)
주 8634
 
10.9%
제 8620
 
10.9%
도 5717
 
7.2%
시 5325
 
6.7%
특 5257
 
6.6%
별 5257
 
6.6%
자 5241
 
6.6%
치 5239
 
6.6%
리 2731
 
3.4%
동 2661
 
3.4%
Other values (161) 24583
31.0%

사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing29
Missing (%)0.5%
Memory size10.6 KiB
True
5344 
(Missing)
 
29
ValueCountFrequency (%)
True 5344
99.5%
(Missing) 29
 
0.5%
2024-03-23T05:13:52.328893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2024-03-23T05:13:36.598727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:13:34.552131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:13:35.510115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:13:36.999280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:13:34.995341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:13:35.827569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:13:37.367178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:13:35.246055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:13:36.229210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T05:13:52.517529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소아이디위도경도
장소아이디1.0000.1430.063
위도0.1431.0001.000
경도0.0631.0001.000
2024-03-23T05:13:52.850179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소아이디위도경도
장소아이디1.0000.015-0.005
위도0.0151.0000.289
경도-0.0050.2891.000

Missing values

2024-03-23T05:13:37.794060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T05:13:38.432091image/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.
2024-03-23T05:13:38.902185image/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

장소아이디장소명도로명주소위도경도등록일시수정일시지번주소사용여부
0428하우목동포구제주특별자치도 서귀포시 성산등용로 112-733.509392126.9423252018-06-20 15:34:062018-06-20 15:34:06제주특별자치도 서귀포시 성산읍 성산리 347-9y
1493렌트카반납제주특별자치도 제주시 서해안로 687-633.515943126.5032262018-06-26 14:10:302018-06-26 14:10:30제주특별자치도 제주시 용담2동 1032-4y
2494대구공항대구광역시 동구 공항로 221 대국국제공항35.899884128.6373512018-06-26 14:11:372018-06-26 14:11:37대구광역시 동구 지저동 400-5y
3495사려니숲길제주특별자치도 제주시 명림로 584 절물휴양림33.422483126.625772018-06-26 14:19:032018-06-26 14:19:03제주특별자치도 제주시 봉개동 산78-1y
4499칠돈가제주특별자치도 서귀포시 민속해안로 53733.323665126.845312018-06-26 17:40:122018-06-26 17:40:12제주특별자치도 서귀포시 표선면 표선리 40-69y
51043김녕해수욕장<NA>33.552729126.7588972018-08-08 12:22:512018-08-08 12:22:51제주특별자치도 제주시 오라동 34-14y
61044메이즈랜드<NA>33.48648126.8017432018-08-08 12:24:072018-08-08 12:24:07제주특별자치도 제주시 오라동 34-14y
71052제주국제공항제주특별자치도 제주시 공항로 233.50643126.4927312018-08-09 11:24:292018-08-09 11:24:29제주특별자치도 제주시 용담2동 2002y
81053포시즌랜트카제주특별자치도 제주시 다호북길 15033.503096126.4823212018-08-09 11:25:272018-08-09 11:25:27제주특별자치도 제주시 도두동 968-1y
91051숙소(아일랜드힐)제주특별자치도 서귀포시 일주서로2842번길 42-933.244248126.2342772018-08-09 11:23:292018-08-09 11:23:29제주특별자치도 서귀포시 대정읍 일과리 962-3y
장소아이디장소명도로명주소위도경도등록일시수정일시지번주소사용여부
53636800제주국제공항제주특별자치도 제주시 월성로4길 56-3 덕성드림빌리지33.50005126.4995772024-02-22 10:59:282024-02-22 10:59:28제주특별자치도 제주시 용담2동 1664-2y
53646801스위트메이호텔제주특별자치도 서귀포시 월드컵로 33 제주월드컵경기장33.246198126.5089922024-02-22 11:16:112024-02-22 11:16:11제주특별자치도 서귀포시 대륜동 914y
53656827애월항제주특별자치도 제주시 애월해안로 9333.466533126.3231172024-03-02 17:10:322024-03-02 17:10:32제주특별자치도 제주시 애월읍 애월리 407-4y
53666803비스타케이호텔제주특별자치도 서귀포시 신서귀로 11 서호민우 연립주택33.250739126.5092722024-02-22 11:58:342024-02-22 11:58:34제주특별자치도 서귀포시 대륜동 748y
53676657제주 공감 게스트하우스제주특별자치도 서귀포시 영락하동로 9-633.236919126.2295962023-08-28 20:32:032023-08-28 20:32:03제주특별자치도 서귀포시 대정읍 일과리y
53686709숙소제주특별자치도 제주시 선유로 445-55 세인트포 C.C33.543008126.7295062023-09-26 15:45:422023-09-26 15:45:42제주특별자치도 제주시 구좌읍 김녕리 5480y
536968411번째<NA>33.359797126.519492024-03-07 18:05:532024-03-07 18:05:53제주특별자치도 서귀포시 대륜동 산1-1y
53706659어박사 애월점제주특별자치도 제주시 애월해안로 59-2433.467829126.3202652023-08-29 11:56:522023-08-29 11:56:52제주특별자치도 제주시 애월읍 애월리y
53716666제주리하우스제주특별자치도 서귀포시 서성일로 66033.432302126.8637322023-08-30 10:32:422023-08-30 10:32:42제주특별자치도 서귀포시 성산읍 수산리 2566y
53726784써니펜션제주특별자치도 제주시 해맞이해안로 224833.498606126.9120752024-02-06 15:55:562024-02-06 15:55:56제주특별자치도 제주시 구좌읍 종달리y