Overview

Dataset statistics

Number of variables10
Number of observations1000
Missing cells103
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory83.1 KiB
Average record size in memory85.1 B

Variable types

Text4
Categorical1
Numeric5

Alerts

LOCPLC_DC has constant value ""Constant
RSTRNT_ROAD_NM_ADDR has 20 (2.0%) missing valuesMissing
RSTRNT_TEL_NO has 83 (8.3%) missing valuesMissing

Reproduction

Analysis started2023-12-10 09:52:50.956717
Analysis finished2023-12-10 09:53:00.299489
Duration9.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

TRRSRT_NM
Text

Distinct61
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-10T18:53:00.599787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length7.08
Min length3

Characters and Unicode

Total characters7080
Distinct characters184
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st row향사당
2nd row향사당
3rd row耽羅地圖幷序(탐라지도병서)
4th row천제연폭포
5th row연방록
ValueCountFrequency (%)
耽羅地圖幷序(탐라지도병서 135
 
10.3%
향사당 101
 
7.7%
천지연폭포 96
 
7.3%
홍화각기 82
 
6.3%
귤수소조 80
 
6.1%
보초등록 71
 
5.4%
정방사소장 64
 
4.9%
석조여래좌상 64
 
4.9%
및 64
 
4.9%
복장 64
 
4.9%
Other values (69) 486
37.2%
2023-12-10T18:53:01.337351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
307
 
4.3%
지 267
 
3.8%
사 213
 
3.0%
라 203
 
2.9%
장 183
 
2.6%
연 181
 
2.6%
소 162
 
2.3%
도 162
 
2.3%
방 157
 
2.2%
조 144
 
2.0%
Other values (174) 5101
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6492
91.7%
Space Separator 307
 
4.3%
Close Punctuation 135
 
1.9%
Open Punctuation 135
 
1.9%
Other Symbol 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 267
 
4.1%
사 213
 
3.3%
라 203
 
3.1%
장 183
 
2.8%
연 181
 
2.8%
소 162
 
2.5%
도 162
 
2.5%
방 157
 
2.4%
조 144
 
2.2%
서 139
 
2.1%
Other values (170) 4681
72.1%
Space Separator
ValueCountFrequency (%)
307
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 135
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5693
80.4%
Han 810
 
11.4%
Common 577
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 267
 
4.7%
사 213
 
3.7%
라 203
 
3.6%
장 183
 
3.2%
연 181
 
3.2%
소 162
 
2.8%
도 162
 
2.8%
방 157
 
2.8%
조 144
 
2.5%
서 139
 
2.4%
Other values (165) 3882
68.2%
Han
ValueCountFrequency (%)
羅 135
16.7%
耽 135
16.7%
序 135
16.7%
幷 135
16.7%
圖 135
16.7%
地 135
16.7%
Common
ValueCountFrequency (%)
307
53.2%
) 135
23.4%
( 135
23.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5682
80.3%
CJK 810
 
11.4%
ASCII 577
 
8.1%
None 11
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
307
53.2%
) 135
23.4%
( 135
23.4%
Hangul
ValueCountFrequency (%)
지 267
 
4.7%
사 213
 
3.7%
라 203
 
3.6%
장 183
 
3.2%
연 181
 
3.2%
소 162
 
2.9%
도 162
 
2.9%
방 157
 
2.8%
조 144
 
2.5%
서 139
 
2.4%
Other values (164) 3871
68.1%
CJK
ValueCountFrequency (%)
羅 135
16.7%
耽 135
16.7%
序 135
16.7%
幷 135
16.7%
圖 135
16.7%
地 135
16.7%
None
ValueCountFrequency (%)
㈜ 11
100.0%

LOCPLC_DC
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
제주도
1000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주도 1000
100.0%

Length

2023-12-10T18:53:01.577209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:53:01.733793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주도 1000
100.0%

RSTRNT_ID
Real number (ℝ)

Distinct974
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441623.57
Minimum3140
Maximum1017495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-10T18:53:01.928516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3140
5-th percentile56517.15
Q1252292
median412438
Q3631983
95-th percentile813267.25
Maximum1017495
Range1014355
Interquartile range (IQR)379691

Descriptive statistics

Standard deviation243455.15
Coefficient of variation (CV)0.551273
Kurtosis-0.99017635
Mean441623.57
Median Absolute Deviation (MAD)190309
Skewness0.035293329
Sum4.4162357 × 108
Variance5.927041 × 1010
MonotonicityNot monotonic
2023-12-10T18:53:02.271584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
357639 2
 
0.2%
345713 2
 
0.2%
359402 2
 
0.2%
607742 2
 
0.2%
584904 2
 
0.2%
363858 2
 
0.2%
539423 2
 
0.2%
52573 2
 
0.2%
357887 2
 
0.2%
5155 2
 
0.2%
Other values (964) 980
98.0%
ValueCountFrequency (%)
3140 1
0.1%
5155 2
0.2%
5546 1
0.1%
5622 1
0.1%
6485 1
0.1%
7194 1
0.1%
9706 1
0.1%
13169 1
0.1%
14524 1
0.1%
15095 1
0.1%
ValueCountFrequency (%)
1017495 1
0.1%
1015494 1
0.1%
971765 1
0.1%
964964 1
0.1%
964070 1
0.1%
953236 1
0.1%
948197 1
0.1%
938557 1
0.1%
928424 1
0.1%
918358 1
0.1%

RSTRNT_NM
Text

Distinct966
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-10T18:53:03.044501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length5.37
Min length1

Characters and Unicode

Total characters5370
Distinct characters615
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

Unique934 ?
Unique (%)93.4%

Sample

1st row제주스
2nd row어서와
3rd row좀녀마을 뚝배기
4th row중문다방
5th row제주김만복 동문시장점
ValueCountFrequency (%)
제주시청점 7
 
0.6%
서귀포점 7
 
0.6%
제주연동점 4
 
0.4%
카페 4
 
0.4%
까투리 4
 
0.4%
스타벅스 3
 
0.3%
부가네얼큰이 3
 
0.3%
제주법원점 3
 
0.3%
제주점 3
 
0.3%
이도점 3
 
0.3%
Other values (1050) 1097
96.4%
2023-12-10T18:53:03.875569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
2.6%
점 133
 
2.5%
이 119
 
2.2%
식 116
 
2.2%
주 112
 
2.1%
당 105
 
2.0%
제 101
 
1.9%
리 76
 
1.4%
스 69
 
1.3%
수 64
 
1.2%
Other values (605) 4337
80.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5090
94.8%
Space Separator 138
 
2.6%
Decimal Number 80
 
1.5%
Lowercase Letter 27
 
0.5%
Uppercase Letter 23
 
0.4%
Other Punctuation 7
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 133
 
2.6%
이 119
 
2.3%
식 116
 
2.3%
주 112
 
2.2%
당 105
 
2.1%
제 101
 
2.0%
리 76
 
1.5%
스 69
 
1.4%
수 64
 
1.3%
지 60
 
1.2%
Other values (561) 4135
81.2%
Uppercase Letter
ValueCountFrequency (%)
C 4
17.4%
B 4
17.4%
O 2
8.7%
I 2
8.7%
A 2
8.7%
S 1
 
4.3%
T 1
 
4.3%
H 1
 
4.3%
R 1
 
4.3%
L 1
 
4.3%
Other values (4) 4
17.4%
Lowercase Letter
ValueCountFrequency (%)
n 4
14.8%
o 3
11.1%
e 3
11.1%
a 2
7.4%
t 2
7.4%
m 2
7.4%
i 2
7.4%
k 2
7.4%
l 2
7.4%
f 1
 
3.7%
Other values (4) 4
14.8%
Decimal Number
ValueCountFrequency (%)
1 15
18.8%
2 14
17.5%
0 11
13.8%
8 8
10.0%
4 7
8.8%
5 7
8.8%
7 7
8.8%
3 6
 
7.5%
9 3
 
3.8%
6 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
& 6
85.7%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5090
94.8%
Common 230
 
4.3%
Latin 50
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 133
 
2.6%
이 119
 
2.3%
식 116
 
2.3%
주 112
 
2.2%
당 105
 
2.1%
제 101
 
2.0%
리 76
 
1.5%
스 69
 
1.4%
수 64
 
1.3%
지 60
 
1.2%
Other values (561) 4135
81.2%
Latin
ValueCountFrequency (%)
C 4
 
8.0%
B 4
 
8.0%
n 4
 
8.0%
o 3
 
6.0%
e 3
 
6.0%
a 2
 
4.0%
O 2
 
4.0%
t 2
 
4.0%
I 2
 
4.0%
A 2
 
4.0%
Other values (18) 22
44.0%
Common
ValueCountFrequency (%)
138
60.0%
1 15
 
6.5%
2 14
 
6.1%
0 11
 
4.8%
8 8
 
3.5%
4 7
 
3.0%
5 7
 
3.0%
7 7
 
3.0%
& 6
 
2.6%
3 6
 
2.6%
Other values (6) 11
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5090
94.8%
ASCII 280
 
5.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
49.3%
1 15
 
5.4%
2 14
 
5.0%
0 11
 
3.9%
8 8
 
2.9%
4 7
 
2.5%
5 7
 
2.5%
7 7
 
2.5%
& 6
 
2.1%
3 6
 
2.1%
Other values (34) 61
21.8%
Hangul
ValueCountFrequency (%)
점 133
 
2.6%
이 119
 
2.3%
식 116
 
2.3%
주 112
 
2.2%
당 105
 
2.1%
제 101
 
2.0%
리 76
 
1.5%
스 69
 
1.4%
수 64
 
1.3%
지 60
 
1.2%
Other values (561) 4135
81.2%

RSTRNT_ROAD_NM_ADDR
Text

MISSING 

Distinct865
Distinct (%)88.3%
Missing20
Missing (%)2.0%
Memory size7.9 KiB
2023-12-10T18:53:04.716028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length21.142857
Min length15

Characters and Unicode

Total characters20720
Distinct characters171
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique770 ?
Unique (%)78.6%

Sample

1st row제주특별자치도 제주시 동문로 4
2nd row제주특별자치도 제주시 중앙로16길 15
3rd row제주특별자치도 제주시 은남길 25
4th row제주특별자치도 서귀포시 중문관광로110번길 15
5th row제주특별자치도 제주시 북성로 65
ValueCountFrequency (%)
제주특별자치도 980
23.7%
제주시 655
 
15.9%
서귀포시 325
 
7.9%
애월읍 52
 
1.3%
중앙로 46
 
1.1%
표선면 46
 
1.1%
조천읍 38
 
0.9%
명동로 22
 
0.5%
성산읍 22
 
0.5%
6 22
 
0.5%
Other values (682) 1921
46.5%
2023-12-10T18:53:05.839366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3149
15.2%
제 1652
 
8.0%
주 1651
 
8.0%
도 993
 
4.8%
자 990
 
4.8%
시 981
 
4.7%
특 980
 
4.7%
별 980
 
4.7%
치 980
 
4.7%
로 810
 
3.9%
Other values (161) 7554
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14515
70.1%
Space Separator 3149
 
15.2%
Decimal Number 2894
 
14.0%
Dash Punctuation 162
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1652
11.4%
주 1651
11.4%
도 993
 
6.8%
자 990
 
6.8%
시 981
 
6.8%
특 980
 
6.8%
별 980
 
6.8%
치 980
 
6.8%
로 810
 
5.6%
길 467
 
3.2%
Other values (149) 4031
27.8%
Decimal Number
ValueCountFrequency (%)
1 674
23.3%
2 457
15.8%
3 325
11.2%
4 314
10.9%
6 229
 
7.9%
5 208
 
7.2%
9 182
 
6.3%
8 174
 
6.0%
0 167
 
5.8%
7 164
 
5.7%
Space Separator
ValueCountFrequency (%)
3149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14515
70.1%
Common 6205
29.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1652
11.4%
주 1651
11.4%
도 993
 
6.8%
자 990
 
6.8%
시 981
 
6.8%
특 980
 
6.8%
별 980
 
6.8%
치 980
 
6.8%
로 810
 
5.6%
길 467
 
3.2%
Other values (149) 4031
27.8%
Common
ValueCountFrequency (%)
3149
50.7%
1 674
 
10.9%
2 457
 
7.4%
3 325
 
5.2%
4 314
 
5.1%
6 229
 
3.7%
5 208
 
3.4%
9 182
 
2.9%
8 174
 
2.8%
0 167
 
2.7%
Other values (2) 326
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14515
70.1%
ASCII 6205
29.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3149
50.7%
1 674
 
10.9%
2 457
 
7.4%
3 325
 
5.2%
4 314
 
5.1%
6 229
 
3.7%
5 208
 
3.4%
9 182
 
2.9%
8 174
 
2.8%
0 167
 
2.7%
Other values (2) 326
 
5.3%
Hangul
ValueCountFrequency (%)
제 1652
11.4%
주 1651
11.4%
도 993
 
6.8%
자 990
 
6.8%
시 981
 
6.8%
특 980
 
6.8%
별 980
 
6.8%
치 980
 
6.8%
로 810
 
5.6%
길 467
 
3.2%
Other values (149) 4031
27.8%

RSTRNT_LNM_ADDR
Text

Distinct898
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-10T18:53:06.389712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length23.085
Min length18

Characters and Unicode

Total characters23085
Distinct characters116
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique813 ?
Unique (%)81.3%

Sample

1st row제주특별자치도 제주시 일도1동 1479-1
2nd row제주특별자치도 제주시 삼도2동 253
3rd row제주특별자치도 제주시 연동 303-45
4th row제주특별자치도 서귀포시 색달동 2864-36
5th row제주특별자치도 제주시 삼도2동 1158-36
ValueCountFrequency (%)
제주특별자치도 1000
23.6%
제주시 668
 
15.8%
서귀포시 332
 
7.9%
서귀동 145
 
3.4%
연동 131
 
3.1%
이도2동 76
 
1.8%
이도1동 53
 
1.3%
애월읍 52
 
1.2%
표선면 46
 
1.1%
조천읍 40
 
0.9%
Other values (959) 1686
39.9%
2023-12-10T18:53:07.290392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3246
 
14.1%
제 1668
 
7.2%
주 1668
 
7.2%
도 1331
 
5.8%
1 1210
 
5.2%
자 1004
 
4.3%
치 1000
 
4.3%
별 1000
 
4.3%
시 1000
 
4.3%
특 1000
 
4.3%
Other values (106) 8958
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14006
60.7%
Decimal Number 4964
 
21.5%
Space Separator 3246
 
14.1%
Dash Punctuation 869
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1668
11.9%
주 1668
11.9%
도 1331
9.5%
자 1004
 
7.2%
치 1000
 
7.1%
별 1000
 
7.1%
시 1000
 
7.1%
특 1000
 
7.1%
동 787
 
5.6%
귀 497
 
3.5%
Other values (94) 3051
21.8%
Decimal Number
ValueCountFrequency (%)
1 1210
24.4%
2 899
18.1%
3 491
9.9%
7 442
 
8.9%
4 387
 
7.8%
0 366
 
7.4%
8 319
 
6.4%
9 301
 
6.1%
6 288
 
5.8%
5 261
 
5.3%
Space Separator
ValueCountFrequency (%)
3246
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 869
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14006
60.7%
Common 9079
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1668
11.9%
주 1668
11.9%
도 1331
9.5%
자 1004
 
7.2%
치 1000
 
7.1%
별 1000
 
7.1%
시 1000
 
7.1%
특 1000
 
7.1%
동 787
 
5.6%
귀 497
 
3.5%
Other values (94) 3051
21.8%
Common
ValueCountFrequency (%)
3246
35.8%
1 1210
 
13.3%
2 899
 
9.9%
- 869
 
9.6%
3 491
 
5.4%
7 442
 
4.9%
4 387
 
4.3%
0 366
 
4.0%
8 319
 
3.5%
9 301
 
3.3%
Other values (2) 549
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14006
60.7%
ASCII 9079
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3246
35.8%
1 1210
 
13.3%
2 899
 
9.9%
- 869
 
9.6%
3 491
 
5.4%
7 442
 
4.9%
4 387
 
4.3%
0 366
 
4.0%
8 319
 
3.5%
9 301
 
3.3%
Other values (2) 549
 
6.0%
Hangul
ValueCountFrequency (%)
제 1668
11.9%
주 1668
11.9%
도 1331
9.5%
자 1004
 
7.2%
치 1000
 
7.1%
별 1000
 
7.1%
시 1000
 
7.1%
특 1000
 
7.1%
동 787
 
5.6%
귀 497
 
3.5%
Other values (94) 3051
21.8%

RSTRNT_TEL_NO
Real number (ℝ)

MISSING 

Distinct890
Distinct (%)97.1%
Missing83
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.041957 × 109
Minimum6.4702042 × 108
Maximum5.0405448 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-10T18:53:07.631237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.4702042 × 108
5-th percentile6.4713093 × 108
Q16.473322 × 108
median6.4753991 × 108
Q36.4783656 × 108
95-th percentile1.0817395 × 109
Maximum5.0405448 × 1010
Range4.9758428 × 1010
Interquartile range (IQR)504362

Descriptive statistics

Standard deviation3.4013276 × 109
Coefficient of variation (CV)3.2643647
Kurtosis192.20249
Mean1.041957 × 109
Median Absolute Deviation (MAD)218604
Skewness13.495745
Sum9.5547456 × 1011
Variance1.1569029 × 1019
MonotonicityNot monotonic
2023-12-10T18:53:07.906583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
647582226 2
 
0.2%
647968126 2
 
0.2%
1076190692 2
 
0.2%
647135910 2
 
0.2%
647020517 2
 
0.2%
647873861 2
 
0.2%
647622645 2
 
0.2%
647388333 2
 
0.2%
1081275195 2
 
0.2%
647226532 2
 
0.2%
Other values (880) 897
89.7%
(Missing) 83
 
8.3%
ValueCountFrequency (%)
647020425 1
0.1%
647020442 1
0.1%
647020517 2
0.2%
647020906 1
0.1%
647021348 1
0.1%
647021582 1
0.1%
647023270 1
0.1%
647025418 1
0.1%
647025551 1
0.1%
647026610 1
0.1%
ValueCountFrequency (%)
50405448029 1
0.1%
50405447908 1
0.1%
50405444573 1
0.1%
50405442063 1
0.1%
7089007766 1
0.1%
7089005001 1
0.1%
7088491110 1
0.1%
7088450826 1
0.1%
7088374560 1
0.1%
7088000406 1
0.1%

RSTRNT_LA
Real number (ℝ)

Distinct879
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.426051
Minimum33.210135
Maximum33.963306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-10T18:53:08.211078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.210135
5-th percentile33.244212
Q133.274639
median33.488273
Q333.506716
95-th percentile33.518354
Maximum33.963306
Range0.7531713
Interquartile range (IQR)0.23207647

Descriptive statistics

Standard deviation0.11638607
Coefficient of variation (CV)0.003481897
Kurtosis0.42150411
Mean33.426051
Median Absolute Deviation (MAD)0.02388335
Skewness-0.36615266
Sum33426.051
Variance0.013545716
MonotonicityNot monotonic
2023-12-10T18:53:08.568803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.2477163 5
 
0.5%
33.5033674 5
 
0.5%
33.5113513 4
 
0.4%
33.250149 4
 
0.4%
33.2796773 3
 
0.3%
33.5127201 3
 
0.3%
33.4901143 3
 
0.3%
33.4865913 3
 
0.3%
33.2474463 3
 
0.3%
33.2448737 3
 
0.3%
Other values (869) 964
96.4%
ValueCountFrequency (%)
33.2101346 1
0.1%
33.2159788 1
0.1%
33.2315123 1
0.1%
33.2316223 2
0.2%
33.2327888 1
0.1%
33.2340257 1
0.1%
33.2341165 1
0.1%
33.2341712 1
0.1%
33.2344133 1
0.1%
33.2346867 1
0.1%
ValueCountFrequency (%)
33.9633059 1
0.1%
33.9630092 1
0.1%
33.9626384 1
0.1%
33.959616 1
0.1%
33.5568745 1
0.1%
33.556289 1
0.1%
33.5556281 1
0.1%
33.5555767 1
0.1%
33.554313 1
0.1%
33.5536589 1
0.1%

RSTRNT_LO
Real number (ℝ)

Distinct878
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.5386
Minimum126.23947
Maximum126.96577
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-10T18:53:08.927797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.23947
5-th percentile126.31256
Q1126.49711
median126.52832
Q3126.56341
95-th percentile126.80206
Maximum126.96577
Range0.7262989
Interquartile range (IQR)0.0662978

Descriptive statistics

Standard deviation0.12027618
Coefficient of variation (CV)0.00095050977
Kurtosis2.5960654
Mean126.5386
Median Absolute Deviation (MAD)0.03368585
Skewness0.74201409
Sum126538.6
Variance0.014466359
MonotonicityNot monotonic
2023-12-10T18:53:09.362230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.5661351 5
 
0.5%
126.5278977 5
 
0.5%
126.5632305 4
 
0.4%
126.5179038 4
 
0.4%
126.5639289 3
 
0.3%
126.5617382 3
 
0.3%
126.5281854 3
 
0.3%
126.5655854 3
 
0.3%
126.2767672 3
 
0.3%
126.5283174 3
 
0.3%
Other values (868) 964
96.4%
ValueCountFrequency (%)
126.2394716 1
0.1%
126.2398865 1
0.1%
126.2400695 1
0.1%
126.2402329 1
0.1%
126.240472 2
0.2%
126.2405721 1
0.1%
126.2410948 1
0.1%
126.2411181 1
0.1%
126.2411899 1
0.1%
126.2412544 1
0.1%
ValueCountFrequency (%)
126.9657705 1
0.1%
126.9596677 1
0.1%
126.9559884 1
0.1%
126.9215363 1
0.1%
126.916761 1
0.1%
126.9162454 1
0.1%
126.9161287 1
0.1%
126.9159932 1
0.1%
126.9159769 1
0.1%
126.915819 1
0.1%

TRRSRT_RSTRNT_BTWN_DSTNC_VALUE
Real number (ℝ)

Distinct918
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean467.10839
Minimum2.4564595
Maximum698.76447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-10T18:53:09.682615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.4564595
5-th percentile180.10563
Q1362.05419
median485.4026
Q3599.96669
95-th percentile679.55723
Maximum698.76447
Range696.30801
Interquartile range (IQR)237.91251

Descriptive statistics

Standard deviation156.70738
Coefficient of variation (CV)0.33548398
Kurtosis-0.5851477
Mean467.10839
Median Absolute Deviation (MAD)119.35934
Skewness-0.49326715
Sum467108.39
Variance24557.204
MonotonicityNot monotonic
2023-12-10T18:53:10.288589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
693.2160526 4
 
0.4%
616.1666755 3
 
0.3%
487.8131506 3
 
0.3%
623.6517388 3
 
0.3%
267.1615514 3
 
0.3%
240.2065316 3
 
0.3%
520.6019496 3
 
0.3%
191.4518984 3
 
0.3%
414.9711457 3
 
0.3%
204.5663393 3
 
0.3%
Other values (908) 969
96.9%
ValueCountFrequency (%)
2.4564595 1
0.1%
3.2054914 1
0.1%
29.3952272 1
0.1%
59.5755862 2
0.2%
66.4779454 1
0.1%
72.5232664 1
0.1%
78.6603338 1
0.1%
85.4077105 1
0.1%
88.4317018 1
0.1%
95.5011108 1
0.1%
ValueCountFrequency (%)
698.7644734 1
0.1%
698.7550226 1
0.1%
698.7266576 1
0.1%
697.9606637 2
0.2%
697.3604185 2
0.2%
696.9406336 1
0.1%
696.3444985 1
0.1%
696.189029 1
0.1%
696.0983354 1
0.1%
695.8294267 1
0.1%

Interactions

2023-12-10T18:52:58.307525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:52.608459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:53.868394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:55.520700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:57.164174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:58.539182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:52.816018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:54.117377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:55.861689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:57.367425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:58.788806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:53.044796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:54.437145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:56.108546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:57.578408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:59.108007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:53.274204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:54.778618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:56.367349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:57.824576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:59.432570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:53.557831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:55.200344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:56.580050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:52:58.072105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T18:53:10.508519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
TRRSRT_NMRSTRNT_IDRSTRNT_TEL_NORSTRNT_LARSTRNT_LOTRRSRT_RSTRNT_BTWN_DSTNC_VALUE
TRRSRT_NM1.0000.3490.2460.9970.9980.383
RSTRNT_ID0.3491.0000.0470.0940.2390.000
RSTRNT_TEL_NO0.2460.0471.0000.0000.0000.000
RSTRNT_LA0.9970.0940.0001.0000.8220.241
RSTRNT_LO0.9980.2390.0000.8221.0000.242
TRRSRT_RSTRNT_BTWN_DSTNC_VALUE0.3830.0000.0000.2410.2421.000
2023-12-10T18:53:11.379542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
RSTRNT_IDRSTRNT_TEL_NORSTRNT_LARSTRNT_LOTRRSRT_RSTRNT_BTWN_DSTNC_VALUE
RSTRNT_ID1.000-0.0570.071-0.0370.021
RSTRNT_TEL_NO-0.0571.000-0.1160.173-0.007
RSTRNT_LA0.071-0.1161.000-0.157-0.102
RSTRNT_LO-0.0370.173-0.1571.0000.102
TRRSRT_RSTRNT_BTWN_DSTNC_VALUE0.021-0.007-0.1020.1021.000

Missing values

2023-12-10T18:52:59.733606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:53:00.015923image/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.
2023-12-10T18:53:00.210501image/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

TRRSRT_NMLOCPLC_DCRSTRNT_IDRSTRNT_NMRSTRNT_ROAD_NM_ADDRRSTRNT_LNM_ADDRRSTRNT_TEL_NORSTRNT_LARSTRNT_LOTRRSRT_RSTRNT_BTWN_DSTNC_VALUE
0향사당제주도699491제주스제주특별자치도 제주시 동문로 4제주특별자치도 제주시 일도1동 1479-1103693486533.512907126.526961394.089271
1향사당제주도690004어서와제주특별자치도 제주시 중앙로16길 15제주특별자치도 제주시 삼도2동 25364753719933.508587126.522121500.795278
2耽羅地圖幷序(탐라지도병서)제주도174787좀녀마을 뚝배기제주특별자치도 제주시 은남길 25제주특별자치도 제주시 연동 303-4564745353533.487383126.495958188.540593
3천제연폭포제주도730550중문다방제주특별자치도 서귀포시 중문관광로110번길 15제주특별자치도 서귀포시 색달동 2864-3664780903033.250044126.413005579.236961
4연방록제주도725847제주김만복 동문시장점제주특별자치도 제주시 북성로 65제주특별자치도 제주시 삼도2동 1158-3664752858233.515294126.517835351.584351
5햇살정원 제주캠핑민박제주도494321어진이네 횟집제주특별자치도 서귀포시 보목포로 93제주특별자치도 서귀포시 보목동 26164732744233.241006126.611027270.055122
6제주플래티늄카라반제주도100659대박이네 정육식당제주특별자치도 제주시 애월읍 일주서로 7053제주특별자치도 제주시 애월읍 하귀2리 167564748310533.483409126.402974145.759522
7홍화각기제주도346439대원제주특별자치도 제주시 서광로29길 3제주특별자치도 제주시 이도1동 1782-164755299933.500705126.5265561.414099
8홍화각기제주도504823하늘본닭제주특별자치도 제주시 광양8길 10제주특별자치도 제주시 이도2동 1773-1364759119233.499969126.528424608.34267
9제주도캠핑카라반제주도358534털보식당제주특별자치도 제주시 조천읍 신북로 554제주특별자치도 제주시 조천읍 함덕리 1002-8464783882833.54091126.668811609.09634
TRRSRT_NMLOCPLC_DCRSTRNT_IDRSTRNT_NMRSTRNT_ROAD_NM_ADDRRSTRNT_LNM_ADDRRSTRNT_TEL_NORSTRNT_LARSTRNT_LOTRRSRT_RSTRNT_BTWN_DSTNC_VALUE
990보초등록제주도598914이종 찌개전문제주특별자치도 제주시 오복2길 35-1제주특별자치도 제주시 이도이동 1083-1164726998733.493131126.537308167.047095
991정의향교제주도482937장수상회제주특별자치도 서귀포시 표선면 성읍정의현로22번길 20-1제주특별자치도 서귀포시 표선면 성읍리 987-1109914474633.384579126.803089379.181533
992홍화각기제주도784816평진2호점제주특별자치도 제주시 동광로1길 27-1제주특별자치도 제주시 이도1동 1260-2964723787833.502865126.527986292.549138
993정방사소장 석조여래좌상 및 복장 유물제주도778871토르의저녁제주특별자치도 서귀포시 태평로 506제주특별자치도 서귀포시 동홍동 359-264733875633.249964126.572131356.215715
994협재관광지제주도819960협재돈대장제주특별자치도 제주시 한림읍 협재2길 8-4제주특별자치도 제주시 한림읍 협재리 2494-564796829733.392148126.240572236.940256
995홍화각기제주도347186아랑졸띠정육식당제주특별자치도 제주시 광양8길 6제주특별자치도 제주시 이도2동 1773-664751311933.500049126.528707599.391279
996용머리해안제주도259031구닮제주특별자치도 서귀포시 안덕면 산방로 210제주특별자치도 서귀포시 안덕면 사계리 177-1109404486433.236444126.312726373.358152
997천지연폭포제주도359221썸단란주점제주특별자치도 서귀포시 이중섭로 4제주특별자치도 서귀포시 서귀동 370-1064732877733.247688126.564027531.624279
998농사체험자동차야영장제주도873635써니제주특별자치도 서귀포시 성산읍 동류암로 51제주특별자치도 서귀포시 성산읍 고성리 317-164784150033.448991126.91526453.378198
999제주도캠핑카라반제주도101075머라이 쌀국수제주특별자치도 제주시 조천읍 함덕29길 17제주특별자치도 제주시 조천읍 함덕리 273-54105620702333.541596126.67505185.40771