Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells2195
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory888.7 KiB
Average record size in memory91.0 B

Variable types

Numeric3
Text5
Categorical2

Dataset

Description경상남도내 위치한 식당의 기본정보를 적어놓은 데이터 입니다. 식당명, 식당주소, 식당위경도, 식당대표전화번호, 식당소개내용 등 식당기본정보를 포함하고 있습니다.
Author재단법인경상남도관광재단
URLhttps://www.data.go.kr/data/15097612/fileData.do

Alerts

영업신고증업태명 is highly overall correlated with 영업인허가명High correlation
영업인허가명 is highly overall correlated with 영업신고증업태명High correlation
지번주소 has 194 (1.9%) missing valuesMissing
식당대표전화번호 has 1930 (19.3%) missing valuesMissing
식당(ID) has unique valuesUnique
식당위도 has 373 (3.7%) zerosZeros
식당경도 has 373 (3.7%) zerosZeros

Reproduction

Analysis started2024-04-20 20:30:19.975999
Analysis finished2024-04-20 20:30:26.045808
Duration6.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식당(ID)
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean407918.08
Minimum1108
Maximum846940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T05:30:26.254624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1108
5-th percentile37857.95
Q1202203.75
median416599.5
Q3613622
95-th percentile798565.85
Maximum846940
Range845832
Interquartile range (IQR)411418.25

Descriptive statistics

Standard deviation243579.71
Coefficient of variation (CV)0.597129
Kurtosis-1.1802158
Mean407918.08
Median Absolute Deviation (MAD)211796.5
Skewness0.061676838
Sum4.0791808 × 109
Variance5.9331077 × 1010
MonotonicityNot monotonic
2024-04-21T05:30:26.667226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
569227 1
 
< 0.1%
775519 1
 
< 0.1%
516278 1
 
< 0.1%
733382 1
 
< 0.1%
687841 1
 
< 0.1%
683123 1
 
< 0.1%
106544 1
 
< 0.1%
4316 1
 
< 0.1%
417543 1
 
< 0.1%
244382 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1108 1
< 0.1%
1299 1
< 0.1%
1420 1
< 0.1%
1421 1
< 0.1%
1422 1
< 0.1%
1430 1
< 0.1%
1552 1
< 0.1%
1558 1
< 0.1%
1710 1
< 0.1%
1885 1
< 0.1%
ValueCountFrequency (%)
846940 1
< 0.1%
846788 1
< 0.1%
846738 1
< 0.1%
846473 1
< 0.1%
846472 1
< 0.1%
846397 1
< 0.1%
846352 1
< 0.1%
846226 1
< 0.1%
846106 1
< 0.1%
845861 1
< 0.1%

식당명
Text

Distinct9453
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T05:30:27.881919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length7.0123
Min length1

Characters and Unicode

Total characters70123
Distinct characters1037
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9072 ?
Unique (%)90.7%

Sample

1st row닥터로빈(신세계백화점김해점)
2nd row씨유(진주신안행복점)
3rd row영득식당
4th row감탄떡볶이(대청점)
5th row옛날통닭(거제본점)
ValueCountFrequency (%)
카페 19
 
0.2%
고봉민 16
 
0.1%
충무김밥 11
 
0.1%
식당 10
 
0.1%
옛날통닭 10
 
0.1%
마산점 9
 
0.1%
60계 9
 
0.1%
포차 8
 
0.1%
풍년식당 8
 
0.1%
커피 8
 
0.1%
Other values (9918) 10701
99.0%
2024-04-21T05:30:29.482631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 3220
 
4.6%
( 3032
 
4.3%
) 3032
 
4.3%
이 1268
 
1.8%
식 1250
 
1.8%
리 977
 
1.4%
스 939
 
1.3%
당 883
 
1.3%
813
 
1.2%
치 804
 
1.1%
Other values (1027) 53905
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61376
87.5%
Open Punctuation 3032
 
4.3%
Close Punctuation 3032
 
4.3%
Space Separator 813
 
1.2%
Decimal Number 782
 
1.1%
Uppercase Letter 610
 
0.9%
Lowercase Letter 295
 
0.4%
Other Punctuation 168
 
0.2%
Dash Punctuation 13
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 3220
 
5.2%
이 1268
 
2.1%
식 1250
 
2.0%
리 977
 
1.6%
스 939
 
1.5%
당 883
 
1.4%
치 804
 
1.3%
산 755
 
1.2%
마 708
 
1.2%
장 701
 
1.1%
Other values (949) 49871
81.3%
Uppercase Letter
ValueCountFrequency (%)
C 144
23.6%
P 75
12.3%
S 57
 
9.3%
G 44
 
7.2%
B 34
 
5.6%
A 29
 
4.8%
D 20
 
3.3%
O 20
 
3.3%
K 19
 
3.1%
T 19
 
3.1%
Other values (16) 149
24.4%
Lowercase Letter
ValueCountFrequency (%)
e 43
14.6%
a 31
 
10.5%
o 23
 
7.8%
r 22
 
7.5%
c 20
 
6.8%
n 18
 
6.1%
l 14
 
4.7%
i 14
 
4.7%
b 12
 
4.1%
f 11
 
3.7%
Other values (15) 87
29.5%
Other Punctuation
ValueCountFrequency (%)
& 99
58.9%
. 26
 
15.5%
, 10
 
6.0%
？ 9
 
5.4%
? 6
 
3.6%
· 4
 
2.4%
! 4
 
2.4%
# 3
 
1.8%
' 3
 
1.8%
/ 2
 
1.2%
Decimal Number
ValueCountFrequency (%)
2 149
19.1%
1 143
18.3%
0 122
15.6%
5 96
12.3%
9 60
7.7%
7 49
 
6.3%
3 46
 
5.9%
8 42
 
5.4%
4 40
 
5.1%
6 35
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 3032
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3032
100.0%
Space Separator
ValueCountFrequency (%)
813
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61373
87.5%
Common 7841
 
11.2%
Latin 906
 
1.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3220
 
5.2%
이 1268
 
2.1%
식 1250
 
2.0%
리 977
 
1.6%
스 939
 
1.5%
당 883
 
1.4%
치 804
 
1.3%
산 755
 
1.2%
마 708
 
1.2%
장 701
 
1.1%
Other values (946) 49868
81.3%
Latin
ValueCountFrequency (%)
C 144
 
15.9%
P 75
 
8.3%
S 57
 
6.3%
G 44
 
4.9%
e 43
 
4.7%
B 34
 
3.8%
a 31
 
3.4%
A 29
 
3.2%
o 23
 
2.5%
r 22
 
2.4%
Other values (42) 404
44.6%
Common
ValueCountFrequency (%)
( 3032
38.7%
) 3032
38.7%
813
 
10.4%
2 149
 
1.9%
1 143
 
1.8%
0 122
 
1.6%
& 99
 
1.3%
5 96
 
1.2%
9 60
 
0.8%
7 49
 
0.6%
Other values (16) 246
 
3.1%
Han
ValueCountFrequency (%)
甘 1
33.3%
生 1
33.3%
火 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61372
87.5%
ASCII 8733
 
12.5%
None 13
 
< 0.1%
CJK 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 3220
 
5.2%
이 1268
 
2.1%
식 1250
 
2.0%
리 977
 
1.6%
스 939
 
1.5%
당 883
 
1.4%
치 804
 
1.3%
산 755
 
1.2%
마 708
 
1.2%
장 701
 
1.1%
Other values (945) 49867
81.3%
ASCII
ValueCountFrequency (%)
( 3032
34.7%
) 3032
34.7%
813
 
9.3%
2 149
 
1.7%
C 144
 
1.6%
1 143
 
1.6%
0 122
 
1.4%
& 99
 
1.1%
5 96
 
1.1%
P 75
 
0.9%
Other values (65) 1028
 
11.8%
None
ValueCountFrequency (%)
？ 9
69.2%
· 4
30.8%
CJK
ValueCountFrequency (%)
甘 1
33.3%
生 1
33.3%
火 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

Distinct8370
Distinct (%)84.3%
Missing71
Missing (%)0.7%
Memory size156.2 KiB
2024-04-21T05:30:30.886476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length20.249169
Min length8

Characters and Unicode

Total characters201054
Distinct characters346
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7399 ?
Unique (%)74.5%

Sample

1st row경상남도 김해시 김해대로 2232
2nd row경상남도 진주시 남강로503번길 16-2
3rd row경상남도 창원시 마산합포구 동서서1길 13-1
4th row경상남도 김해시 계동로102번길 28
5th row경상남도 거제시 중곡로7길 8
ValueCountFrequency (%)
경상남도 9929
 
21.6%
창원시 3140
 
6.8%
김해시 1452
 
3.2%
진주시 1205
 
2.6%
양산시 866
 
1.9%
의창구 834
 
1.8%
거제시 743
 
1.6%
성산구 634
 
1.4%
마산합포구 616
 
1.3%
진해구 550
 
1.2%
Other values (5171) 25977
56.5%
2024-04-21T05:30:32.690179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36017
17.9%
남 10825
 
5.4%
상 10224
 
5.1%
도 10204
 
5.1%
경 10010
 
5.0%
시 8843
 
4.4%
1 7819
 
3.9%
로 7613
 
3.8%
길 4949
 
2.5%
창 4807
 
2.4%
Other values (336) 89743
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129993
64.7%
Space Separator 36017
 
17.9%
Decimal Number 32795
 
16.3%
Dash Punctuation 2196
 
1.1%
Other Punctuation 53
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 10825
 
8.3%
상 10224
 
7.9%
도 10204
 
7.8%
경 10010
 
7.7%
시 8843
 
6.8%
로 7613
 
5.9%
길 4949
 
3.8%
창 4807
 
3.7%
원 4129
 
3.2%
산 3671
 
2.8%
Other values (323) 54718
42.1%
Decimal Number
ValueCountFrequency (%)
1 7819
23.8%
2 4794
14.6%
3 3432
10.5%
5 2945
 
9.0%
4 2934
 
8.9%
6 2500
 
7.6%
7 2303
 
7.0%
8 2076
 
6.3%
0 2028
 
6.2%
9 1964
 
6.0%
Space Separator
ValueCountFrequency (%)
36017
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2196
100.0%
Other Punctuation
ValueCountFrequency (%)
· 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129993
64.7%
Common 71061
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 10825
 
8.3%
상 10224
 
7.9%
도 10204
 
7.8%
경 10010
 
7.7%
시 8843
 
6.8%
로 7613
 
5.9%
길 4949
 
3.8%
창 4807
 
3.7%
원 4129
 
3.2%
산 3671
 
2.8%
Other values (323) 54718
42.1%
Common
ValueCountFrequency (%)
36017
50.7%
1 7819
 
11.0%
2 4794
 
6.7%
3 3432
 
4.8%
5 2945
 
4.1%
4 2934
 
4.1%
6 2500
 
3.5%
7 2303
 
3.2%
- 2196
 
3.1%
8 2076
 
2.9%
Other values (3) 4045
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129993
64.7%
ASCII 71008
35.3%
None 53
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36017
50.7%
1 7819
 
11.0%
2 4794
 
6.8%
3 3432
 
4.8%
5 2945
 
4.1%
4 2934
 
4.1%
6 2500
 
3.5%
7 2303
 
3.2%
- 2196
 
3.1%
8 2076
 
2.9%
Other values (2) 3992
 
5.6%
Hangul
ValueCountFrequency (%)
남 10825
 
8.3%
상 10224
 
7.9%
도 10204
 
7.8%
경 10010
 
7.7%
시 8843
 
6.8%
로 7613
 
5.9%
길 4949
 
3.8%
창 4807
 
3.7%
원 4129
 
3.2%
산 3671
 
2.8%
Other values (323) 54718
42.1%
None
ValueCountFrequency (%)
· 53
100.0%

지번주소
Text

MISSING 

Distinct8209
Distinct (%)83.7%
Missing194
Missing (%)1.9%
Memory size156.2 KiB
2024-04-21T05:30:34.043922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length20.64899
Min length8

Characters and Unicode

Total characters202484
Distinct characters269
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7238 ?
Unique (%)73.8%

Sample

1st row경상남도 김해시 외동 1264
2nd row경상남도 진주시 신안동 25-12
3rd row경상남도 창원시 마산합포구 서성동 66-95
4th row경상남도 김해시 대청동 333-3
5th row경상남도 거제시 고현동 987-34
ValueCountFrequency (%)
경상남도 9806
 
21.6%
창원시 3063
 
6.7%
김해시 1409
 
3.1%
진주시 1197
 
2.6%
양산시 854
 
1.9%
의창구 780
 
1.7%
거제시 740
 
1.6%
성산구 624
 
1.4%
마산합포구 609
 
1.3%
진해구 550
 
1.2%
Other values (7711) 25812
56.8%
2024-04-21T05:30:35.700195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35638
17.6%
남 10684
 
5.3%
상 10515
 
5.2%
도 10057
 
5.0%
경 9874
 
4.9%
1 8747
 
4.3%
시 8511
 
4.2%
- 8501
 
4.2%
동 7548
 
3.7%
2 5130
 
2.5%
Other values (259) 87279
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118454
58.5%
Decimal Number 39890
 
19.7%
Space Separator 35638
 
17.6%
Dash Punctuation 8501
 
4.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 10684
 
9.0%
상 10515
 
8.9%
도 10057
 
8.5%
경 9874
 
8.3%
시 8511
 
7.2%
동 7548
 
6.4%
창 4481
 
3.8%
원 3862
 
3.3%
산 3505
 
3.0%
구 3260
 
2.8%
Other values (246) 46157
39.0%
Decimal Number
ValueCountFrequency (%)
1 8747
21.9%
2 5130
12.9%
3 4287
10.7%
4 3803
9.5%
5 3474
 
8.7%
6 3439
 
8.6%
7 2990
 
7.5%
8 2706
 
6.8%
0 2658
 
6.7%
9 2656
 
6.7%
Space Separator
ValueCountFrequency (%)
35638
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8501
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118454
58.5%
Common 84029
41.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 10684
 
9.0%
상 10515
 
8.9%
도 10057
 
8.5%
경 9874
 
8.3%
시 8511
 
7.2%
동 7548
 
6.4%
창 4481
 
3.8%
원 3862
 
3.3%
산 3505
 
3.0%
구 3260
 
2.8%
Other values (246) 46157
39.0%
Common
ValueCountFrequency (%)
35638
42.4%
1 8747
 
10.4%
- 8501
 
10.1%
2 5130
 
6.1%
3 4287
 
5.1%
4 3803
 
4.5%
5 3474
 
4.1%
6 3439
 
4.1%
7 2990
 
3.6%
8 2706
 
3.2%
Other values (2) 5314
 
6.3%
Latin
ValueCountFrequency (%)
G 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118454
58.5%
ASCII 84030
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35638
42.4%
1 8747
 
10.4%
- 8501
 
10.1%
2 5130
 
6.1%
3 4287
 
5.1%
4 3803
 
4.5%
5 3474
 
4.1%
6 3439
 
4.1%
7 2990
 
3.6%
8 2706
 
3.2%
Other values (3) 5315
 
6.3%
Hangul
ValueCountFrequency (%)
남 10684
 
9.0%
상 10515
 
8.9%
도 10057
 
8.5%
경 9874
 
8.3%
시 8511
 
7.2%
동 7548
 
6.4%
창 4481
 
3.8%
원 3862
 
3.3%
산 3505
 
3.0%
구 3260
 
2.8%
Other values (246) 46157
39.0%

식당위도
Real number (ℝ)

ZEROS 

Distinct3692
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.889924
Minimum0
Maximum35.8306
Zeros373
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T05:30:35.946506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.828
Q135.135175
median35.21345
Q335.275525
95-th percentile35.5111
Maximum35.8306
Range35.8306
Interquartile range (IQR)0.14035

Descriptive statistics

Standard deviation6.6736668
Coefficient of variation (CV)0.19692186
Kurtosis21.822741
Mean33.889924
Median Absolute Deviation (MAD)0.06565
Skewness-4.8782676
Sum338899.24
Variance44.537828
MonotonicityNot monotonic
2024-04-21T05:30:36.204201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 373
 
3.7%
35.2222 32
 
0.3%
35.1759 23
 
0.2%
35.2193 22
 
0.2%
35.1522 18
 
0.2%
35.2316 17
 
0.2%
35.6868 16
 
0.2%
35.2257 16
 
0.2%
35.2196 16
 
0.2%
35.3016 15
 
0.1%
Other values (3682) 9452
94.5%
ValueCountFrequency (%)
0.0 373
3.7%
34.6289 1
 
< 0.1%
34.6328 1
 
< 0.1%
34.6343 1
 
< 0.1%
34.6346 1
 
< 0.1%
34.6352 1
 
< 0.1%
34.6353 1
 
< 0.1%
34.6354 1
 
< 0.1%
34.6355 1
 
< 0.1%
34.649 1
 
< 0.1%
ValueCountFrequency (%)
35.8306 1
< 0.1%
35.8067 1
< 0.1%
35.8065 1
< 0.1%
35.8062 1
< 0.1%
35.8053 1
< 0.1%
35.7915 1
< 0.1%
35.7911 1
< 0.1%
35.7897 1
< 0.1%
35.7787 1
< 0.1%
35.7625 1
< 0.1%

식당경도
Real number (ℝ)

ZEROS 

Distinct4617
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.75329
Minimum0
Maximum129.1965
Zeros373
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T05:30:36.560180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile127.7492
Q1128.16878
median128.60965
Q3128.74905
95-th percentile129.028
Maximum129.1965
Range129.1965
Interquartile range (IQR)0.580275

Descriptive statistics

Standard deviation24.362747
Coefficient of variation (CV)0.19686545
Kurtosis21.851071
Mean123.75329
Median Absolute Deviation (MAD)0.1988
Skewness-4.8827997
Sum1237532.9
Variance593.54345
MonotonicityNot monotonic
2024-04-21T05:30:37.006706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 373
 
3.7%
128.6834 22
 
0.2%
128.8722 20
 
0.2%
128.324 16
 
0.2%
128.6916 16
 
0.2%
127.914 16
 
0.2%
128.816 16
 
0.2%
128.8832 16
 
0.2%
128.6819 16
 
0.2%
128.7114 14
 
0.1%
Other values (4607) 9475
94.8%
ValueCountFrequency (%)
0.0 373
3.7%
127.6111 1
 
< 0.1%
127.6235 1
 
< 0.1%
127.6239 1
 
< 0.1%
127.6241 6
 
0.1%
127.6243 1
 
< 0.1%
127.6356 1
 
< 0.1%
127.6381 1
 
< 0.1%
127.6407 1
 
< 0.1%
127.6437 1
 
< 0.1%
ValueCountFrequency (%)
129.1965 1
< 0.1%
129.1924 1
< 0.1%
129.189 1
< 0.1%
129.1834 1
< 0.1%
129.179 1
< 0.1%
129.1785 1
< 0.1%
129.1781 1
< 0.1%
129.178 1
< 0.1%
129.1771 1
< 0.1%
129.177 1
< 0.1%

식당대표전화번호
Text

MISSING 

Distinct7957
Distinct (%)98.6%
Missing1930
Missing (%)19.3%
Memory size156.2 KiB
2024-04-21T05:30:38.114838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.018711
Min length11

Characters and Unicode

Total characters96991
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7862 ?
Unique (%)97.4%

Sample

1st row055-272-1473
2nd row055-747-5665
3rd row055-242-9543
4th row055-311-2881
5th row055-635-5824
ValueCountFrequency (%)
055-582-5470 8
 
0.1%
055-521-2978 7
 
0.1%
055-963-8001 4
 
< 0.1%
055-587-9656 3
 
< 0.1%
055-854-3574 3
 
< 0.1%
055-240-1802 3
 
< 0.1%
055-758-5971 3
 
< 0.1%
055-541-0080 3
 
< 0.1%
055-337-0093 2
 
< 0.1%
055-533-6352 2
 
< 0.1%
Other values (7947) 8032
99.5%
2024-04-21T05:30:39.432214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 22237
22.9%
- 16140
16.6%
0 12304
12.7%
2 7864
 
8.1%
3 7676
 
7.9%
8 5644
 
5.8%
6 5629
 
5.8%
7 5594
 
5.8%
4 5194
 
5.4%
9 4470
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80851
83.4%
Dash Punctuation 16140
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 22237
27.5%
0 12304
15.2%
2 7864
 
9.7%
3 7676
 
9.5%
8 5644
 
7.0%
6 5629
 
7.0%
7 5594
 
6.9%
4 5194
 
6.4%
9 4470
 
5.5%
1 4239
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 16140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96991
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 22237
22.9%
- 16140
16.6%
0 12304
12.7%
2 7864
 
8.1%
3 7676
 
7.9%
8 5644
 
5.8%
6 5629
 
5.8%
7 5594
 
5.8%
4 5194
 
5.4%
9 4470
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 22237
22.9%
- 16140
16.6%
0 12304
12.7%
2 7864
 
8.1%
3 7676
 
7.9%
8 5644
 
5.8%
6 5629
 
5.8%
7 5594
 
5.8%
4 5194
 
5.4%
9 4470
 
4.6%

영업신고증업태명
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
2755 
호프/통닭
1237 
분식
663 
기타
659 
<NA>
557 
Other values (31)
4129 

Length

Max length15
Median length10
Mean length3.8796
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타(편의점)
3rd row한식
4th row한식
5th row호프/통닭

Common Values

ValueCountFrequency (%)
한식 2755
27.6%
호프/통닭 1237
12.4%
분식 663
 
6.6%
기타 659
 
6.6%
<NA> 557
 
5.6%
일반조리판매 474
 
4.7%
정종/대포집/소주방 450
 
4.5%
기타 휴게음식점 439
 
4.4%
커피숍 423
 
4.2%
중국식 416
 
4.2%
Other values (26) 1927
19.3%

Length

2024-04-21T05:30:39.869337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 2755
26.4%
호프/통닭 1237
11.8%
기타 1098
 
10.5%
분식 663
 
6.4%
na 557
 
5.3%
일반조리판매 474
 
4.5%
정종/대포집/소주방 450
 
4.3%
휴게음식점 439
 
4.2%
커피숍 423
 
4.1%
중국식 416
 
4.0%
Other values (26) 1927
18.5%

영업인허가명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
7756 
휴게음식점
1922 
제과점영업
 
322

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반음식점
2nd row휴게음식점
3rd row일반음식점
4th row일반음식점
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 7756
77.6%
휴게음식점 1922
 
19.2%
제과점영업 322
 
3.2%

Length

2024-04-21T05:30:40.246532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:30:40.552286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 7756
77.6%
휴게음식점 1922
 
19.2%
제과점영업 322
 
3.2%

음식점소개내용
Text

Distinct9982
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T05:30:41.488006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length247
Median length153
Mean length42.9835
Min length21

Characters and Unicode

Total characters429835
Distinct characters1053
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9964 ?
Unique (%)99.6%

Sample

1st row경상남도 김해시에서 식당을 찾으신다면? "닥터로빈(신세계백화점김해점)"을 방문해보세요! 지방자치단체 인증을 받은 농림축산식품부 제공 안심식당입니다. 네이버 온라인 예약이 가능합니다!
2nd row"씨유(진주신안행복점)"를 경상남도 진주시의 가 볼 만한 식당으로 추천합니다!
3rd row경상남도 창원시에 가신다면 "영득식당"에 방문해보세요~
4th row"감탄떡볶이(대청점)"를 경상남도 김해시의 가 볼 만한 식당으로 추천합니다!
5th row경상남도 거제시에서 맛집을 찾으신다면 "옛날통닭(거제본점)"을 추천합니다.
ValueCountFrequency (%)
경상남도 10000
 
13.0%
추천합니다 5415
 
7.1%
찾으신다면 3337
 
4.4%
방문해보세요 2247
 
2.9%
가 2218
 
2.9%
볼 2218
 
2.9%
만한 2218
 
2.9%
식당을 2217
 
2.9%
창원시에서 1438
 
1.9%
있습니다 1234
 
1.6%
Other values (10643) 44115
57.5%
2024-04-21T05:30:42.939388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66658
 
15.5%
" 20008
 
4.7%
다 14243
 
3.3%
시 12385
 
2.9%
에 10451
 
2.4%
남 10447
 
2.4%
도 10337
 
2.4%
상 10290
 
2.4%
경 10190
 
2.4%
을 9564
 
2.2%
Other values (1043) 255262
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316357
73.6%
Space Separator 66658
 
15.5%
Other Punctuation 36389
 
8.5%
Open Punctuation 3031
 
0.7%
Close Punctuation 3031
 
0.7%
Decimal Number 2025
 
0.5%
Math Symbol 1058
 
0.2%
Uppercase Letter 958
 
0.2%
Lowercase Letter 314
 
0.1%
Dash Punctuation 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 14243
 
4.5%
시 12385
 
3.9%
에 10451
 
3.3%
남 10447
 
3.3%
도 10337
 
3.3%
상 10290
 
3.3%
경 10190
 
3.2%
을 9564
 
3.0%
니 7318
 
2.3%
면 6687
 
2.1%
Other values (963) 214445
67.8%
Uppercase Letter
ValueCountFrequency (%)
S 170
17.7%
C 159
16.6%
B 125
13.0%
P 75
7.8%
K 64
 
6.7%
T 48
 
5.0%
G 44
 
4.6%
V 39
 
4.1%
A 30
 
3.1%
M 24
 
2.5%
Other values (16) 180
18.8%
Lowercase Letter
ValueCountFrequency (%)
e 46
14.6%
a 31
 
9.9%
o 26
 
8.3%
r 22
 
7.0%
c 20
 
6.4%
n 18
 
5.7%
l 14
 
4.5%
i 14
 
4.5%
d 13
 
4.1%
b 12
 
3.8%
Other values (15) 98
31.2%
Other Punctuation
ValueCountFrequency (%)
" 20008
55.0%
! 6694
 
18.4%
? 5477
 
15.1%
. 2819
 
7.7%
, 1268
 
3.5%
& 99
 
0.3%
？ 9
 
< 0.1%
· 4
 
< 0.1%
# 3
 
< 0.1%
' 3
 
< 0.1%
Other values (3) 5
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 448
22.1%
0 404
20.0%
1 385
19.0%
5 167
 
8.2%
7 125
 
6.2%
9 109
 
5.4%
3 104
 
5.1%
4 96
 
4.7%
6 94
 
4.6%
8 93
 
4.6%
Space Separator
ValueCountFrequency (%)
66658
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3031
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3031
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1058
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 316354
73.6%
Common 112205
 
26.1%
Latin 1273
 
0.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 14243
 
4.5%
시 12385
 
3.9%
에 10451
 
3.3%
남 10447
 
3.3%
도 10337
 
3.3%
상 10290
 
3.3%
경 10190
 
3.2%
을 9564
 
3.0%
니 7318
 
2.3%
면 6687
 
2.1%
Other values (960) 214442
67.8%
Latin
ValueCountFrequency (%)
S 170
 
13.4%
C 159
 
12.5%
B 125
 
9.8%
P 75
 
5.9%
K 64
 
5.0%
T 48
 
3.8%
e 46
 
3.6%
G 44
 
3.5%
V 39
 
3.1%
a 31
 
2.4%
Other values (42) 472
37.1%
Common
ValueCountFrequency (%)
66658
59.4%
" 20008
 
17.8%
! 6694
 
6.0%
? 5477
 
4.9%
( 3031
 
2.7%
) 3031
 
2.7%
. 2819
 
2.5%
, 1268
 
1.1%
~ 1058
 
0.9%
2 448
 
0.4%
Other values (18) 1713
 
1.5%
Han
ValueCountFrequency (%)
生 1
33.3%
甘 1
33.3%
火 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 316352
73.6%
ASCII 113464
 
26.4%
None 13
 
< 0.1%
CJK 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66658
58.7%
" 20008
 
17.6%
! 6694
 
5.9%
? 5477
 
4.8%
( 3031
 
2.7%
) 3031
 
2.7%
. 2819
 
2.5%
, 1268
 
1.1%
~ 1058
 
0.9%
2 448
 
0.4%
Other values (67) 2972
 
2.6%
Hangul
ValueCountFrequency (%)
다 14243
 
4.5%
시 12385
 
3.9%
에 10451
 
3.3%
남 10447
 
3.3%
도 10337
 
3.3%
상 10290
 
3.3%
경 10190
 
3.2%
을 9564
 
3.0%
니 7318
 
2.3%
면 6687
 
2.1%
Other values (958) 214440
67.8%
None
ValueCountFrequency (%)
？ 9
69.2%
· 4
30.8%
CJK
ValueCountFrequency (%)
生 1
33.3%
甘 1
33.3%
火 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅍ 1
50.0%
ㅇ 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

Interactions

2024-04-21T05:30:24.307449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:30:23.340378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:30:23.808214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:30:24.458477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:30:23.483878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:30:23.967113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:30:24.632146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:30:23.649744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:30:24.138429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T05:30:43.201648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식당(ID)식당위도식당경도영업신고증업태명영업인허가명
식당(ID)1.0000.0120.0120.3690.258
식당위도0.0121.0001.0000.1550.021
식당경도0.0121.0001.0000.1550.021
영업신고증업태명0.3690.1550.1551.0000.999
영업인허가명0.2580.0210.0210.9991.000
2024-04-21T05:30:43.458958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업신고증업태명영업인허가명
영업신고증업태명1.0000.997
영업인허가명0.9971.000
2024-04-21T05:30:43.698664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식당(ID)식당위도식당경도영업신고증업태명영업인허가명
식당(ID)1.000-0.0390.0720.1350.159
식당위도-0.0391.0000.4030.1310.035
식당경도0.0720.4031.0000.1310.035
영업신고증업태명0.1350.1310.1311.0000.997
영업인허가명0.1590.0350.0350.9971.000

Missing values

2024-04-21T05:30:24.992499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T05:30:25.483606image/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.
2024-04-21T05:30:25.849858image/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

식당(ID)식당명도로명주소지번주소식당위도식당경도식당대표전화번호영업신고증업태명영업인허가명음식점소개내용
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식당(ID)식당명도로명주소지번주소식당위도식당경도식당대표전화번호영업신고증업태명영업인허가명음식점소개내용
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421984204투다리경상남도 창원시 마산합포구 자산솔밭로 26경상남도 창원시 마산합포구 완월동 91-1535.1999128.5604055-241-3531기타일반음식점"투다리"는 경상남도 창원시에 있습니다.
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9790221987유한회사인제베이커리경상남도 김해시 흥동로 99경상남도 김해시 흥동 55-1235.2221128.8595055-329-3511제과점영업제과점영업경상남도 김해시에 가신다면 "유한회사인제베이커리"에 방문해보세요~
14410331451작은마을경상남도 창원시 의창구 창이대로205번길 5경상남도 창원시 의창구 봉곡동 61-1035.2454128.6595055-237-2784호프/통닭일반음식점무엇을 먹을지 고민되신다고요? 경상남도 창원시에 계시다면 "작은마을"을 추천합니다!
29652704248아벡듀뺑경상남도 양산시 물금읍 야리로 9경상남도 양산시 물금읍 가촌리 1270-135.3183129.0004055-372-5775제과점영업제과점영업경상남도 양산시에 가신다면 "아벡듀뺑"에 방문해보세요~
29992713091부산빨간어묵포차(이마트진주점)경상남도 진주시 진양호로 477경상남도 진주시 인사동 335.1916128.0774<NA>일반조리판매휴게음식점"부산빨간어묵포차(이마트진주점)"는 경상남도 진주시에 있습니다.
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31106742572700비어경상남도 거제시 장평4로 62경상남도 거제시 장평동 138-234.8868128.6084055-634-0967호프/통닭일반음식점경상남도 거제시에 가신다면 "700비어"에 방문해보세요~
64012461정옥식당경상남도 진주시 진양호로570번길 10-1경상남도 진주시 장대동 135-1035.1933128.0878055-745-1820한식일반음식점"정옥식당"을 경상남도 진주시의 가 볼 만한 식당으로 추천합니다!