Overview

Dataset statistics

Number of variables18
Number of observations632
Missing cells717
Missing cells (%)6.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory90.2 KiB
Average record size in memory146.2 B

Variable types

Text13
Numeric2
Categorical2
DateTime1

Alerts

last_load_dttm has constant value ""Constant
cn_cd is highly overall correlated with cn and 1 other fieldsHigh correlation
cn is highly overall correlated with cn_cd and 1 other fieldsHigh correlation
parkng_at is highly overall correlated with cn_cd and 1 other fieldsHigh correlation
cn is highly imbalanced (66.2%)Imbalance
img_file1 has 42 (6.6%) missing valuesMissing
img_name1 has 42 (6.6%) missing valuesMissing
img_file2 has 294 (46.5%) missing valuesMissing
img_name2 has 294 (46.5%) missing valuesMissing
idx has 8 (1.3%) missing valuesMissing
last_load_dttm has 8 (1.3%) missing valuesMissing

Reproduction

Analysis started2024-04-16 04:58:16.357989
Analysis finished2024-04-16 04:58:19.901730
Duration3.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

sj
Text

Distinct621
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-04-16T13:58:20.124936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length5.1946203
Min length1

Characters and Unicode

Total characters3283
Distinct characters431
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

Unique610 ?
Unique (%)96.5%

Sample

1st row명지돼지국밥
2nd row최가국밥
3rd row주례칼국수
4th row진영숯불갈비
5th row화신반점
ValueCountFrequency (%)
손칼국수 4
 
0.6%
서울칼국수 2
 
0.3%
시골집 2
 
0.3%
장터국밥 2
 
0.3%
칼국수 2
 
0.3%
합천돼지국밥 2
 
0.3%
부산밀면 2
 
0.3%
유식당 2
 
0.3%
구포국수 2
 
0.3%
행복한오리 2
 
0.3%
Other values (651) 655
96.8%
2024-04-16T13:58:20.566914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 97
 
3.0%
수 76
 
2.3%
식 72
 
2.2%
밥 61
 
1.9%
당 60
 
1.8%
어 59
 
1.8%
가 55
 
1.7%
미 53
 
1.6%
이 53
 
1.6%
리 53
 
1.6%
Other values (421) 2644
80.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3161
96.3%
Space Separator 46
 
1.4%
Decimal Number 38
 
1.2%
Close Punctuation 10
 
0.3%
Open Punctuation 10
 
0.3%
Lowercase Letter 6
 
0.2%
Other Punctuation 5
 
0.2%
Uppercase Letter 4
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 97
 
3.1%
수 76
 
2.4%
식 72
 
2.3%
밥 61
 
1.9%
당 60
 
1.9%
어 59
 
1.9%
가 55
 
1.7%
미 53
 
1.7%
이 53
 
1.7%
리 53
 
1.7%
Other values (396) 2522
79.8%
Decimal Number
ValueCountFrequency (%)
1 10
26.3%
0 7
18.4%
7 7
18.4%
2 5
13.2%
5 2
 
5.3%
6 2
 
5.3%
4 2
 
5.3%
3 1
 
2.6%
8 1
 
2.6%
9 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
y 2
33.3%
g 1
16.7%
b 1
16.7%
o 1
16.7%
u 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
, 1
 
20.0%
. 1
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
J 2
50.0%
C 1
25.0%
H 1
25.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3161
96.3%
Common 112
 
3.4%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 97
 
3.1%
수 76
 
2.4%
식 72
 
2.3%
밥 61
 
1.9%
당 60
 
1.9%
어 59
 
1.9%
가 55
 
1.7%
미 53
 
1.7%
이 53
 
1.7%
리 53
 
1.7%
Other values (396) 2522
79.8%
Common
ValueCountFrequency (%)
46
41.1%
) 10
 
8.9%
( 10
 
8.9%
1 10
 
8.9%
0 7
 
6.2%
7 7
 
6.2%
2 5
 
4.5%
- 3
 
2.7%
& 3
 
2.7%
5 2
 
1.8%
Other values (7) 9
 
8.0%
Latin
ValueCountFrequency (%)
y 2
20.0%
J 2
20.0%
C 1
10.0%
H 1
10.0%
g 1
10.0%
b 1
10.0%
o 1
10.0%
u 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3161
96.3%
ASCII 122
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 97
 
3.1%
수 76
 
2.4%
식 72
 
2.3%
밥 61
 
1.9%
당 60
 
1.9%
어 59
 
1.9%
가 55
 
1.7%
미 53
 
1.7%
이 53
 
1.7%
리 53
 
1.7%
Other values (396) 2522
79.8%
ASCII
ValueCountFrequency (%)
46
37.7%
) 10
 
8.2%
( 10
 
8.2%
1 10
 
8.2%
0 7
 
5.7%
7 7
 
5.7%
2 5
 
4.1%
- 3
 
2.5%
& 3
 
2.5%
y 2
 
1.6%
Other values (15) 19
15.6%

m_nm
Text

Distinct615
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-04-16T13:58:20.883039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.0743671
Min length2

Characters and Unicode

Total characters1943
Distinct characters204
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

Unique599 ?
Unique (%)94.8%

Sample

1st row정점희
2nd row최연순
3rd row진영화
4th row민숙자
5th row최순점
ValueCountFrequency (%)
이영자 3
 
0.5%
2
 
0.3%
이영우 2
 
0.3%
이성희 2
 
0.3%
김화옥 2
 
0.3%
김정희 2
 
0.3%
유인숙 2
 
0.3%
김명희 2
 
0.3%
한경화 2
 
0.3%
김영식 2
 
0.3%
Other values (608) 614
96.7%
2024-04-16T13:58:21.320524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 120
 
6.2%
정 98
 
5.0%
이 88
 
4.5%
순 57
 
2.9%
숙 53
 
2.7%
영 53
 
2.7%
희 53
 
2.7%
자 46
 
2.4%
박 41
 
2.1%
경 41
 
2.1%
Other values (194) 1293
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1883
96.9%
Decimal Number 43
 
2.2%
Dash Punctuation 8
 
0.4%
Other Punctuation 6
 
0.3%
Space Separator 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 120
 
6.4%
정 98
 
5.2%
이 88
 
4.7%
순 57
 
3.0%
숙 53
 
2.8%
영 53
 
2.8%
희 53
 
2.8%
자 46
 
2.4%
박 41
 
2.2%
경 41
 
2.2%
Other values (181) 1233
65.5%
Decimal Number
ValueCountFrequency (%)
3 8
18.6%
2 6
14.0%
5 6
14.0%
1 6
14.0%
0 5
11.6%
4 3
 
7.0%
6 3
 
7.0%
8 2
 
4.7%
7 2
 
4.7%
9 2
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
* 6
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1883
96.9%
Common 60
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 120
 
6.4%
정 98
 
5.2%
이 88
 
4.7%
순 57
 
3.0%
숙 53
 
2.8%
영 53
 
2.8%
희 53
 
2.8%
자 46
 
2.4%
박 41
 
2.2%
경 41
 
2.2%
Other values (181) 1233
65.5%
Common
ValueCountFrequency (%)
3 8
13.3%
- 8
13.3%
2 6
10.0%
* 6
10.0%
5 6
10.0%
1 6
10.0%
0 5
8.3%
4 3
 
5.0%
6 3
 
5.0%
3
 
5.0%
Other values (3) 6
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1882
96.9%
ASCII 60
 
3.1%
Compat Jamo 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 120
 
6.4%
정 98
 
5.2%
이 88
 
4.7%
순 57
 
3.0%
숙 53
 
2.8%
영 53
 
2.8%
희 53
 
2.8%
자 46
 
2.4%
박 41
 
2.2%
경 41
 
2.2%
Other values (180) 1232
65.5%
ASCII
ValueCountFrequency (%)
3 8
13.3%
- 8
13.3%
2 6
10.0%
* 6
10.0%
5 6
10.0%
1 6
10.0%
0 5
8.3%
4 3
 
5.0%
6 3
 
5.0%
3
 
5.0%
Other values (3) 6
10.0%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%

adres
Text

Distinct627
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-04-16T13:58:21.690502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length46
Mean length28.844937
Min length3

Characters and Unicode

Total characters18230
Distinct characters259
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique624 ?
Unique (%)98.7%

Sample

1st row부산시 강서구 명지오션시티8로6번길 13
2nd row(47009) 부산광역시 사상구 가야대로366번길 43, 2층 (주례동, 뽀끌레까끌레)
3rd row부산시 사상구 가야대로284번길7-6(주례동)
4th row부산시 사하구 신산로 177-11 (신평동)
5th row부산시 사하구 낙동대로 326-1 (괴정동)
ValueCountFrequency (%)
부산광역시 410
 
12.4%
부산시 129
 
3.9%
서구 63
 
1.9%
사상구 58
 
1.8%
영도구 50
 
1.5%
동래구 49
 
1.5%
연제구 46
 
1.4%
북구 41
 
1.2%
사하구 34
 
1.0%
남구 32
 
1.0%
Other values (1269) 2398
72.4%
2024-04-16T13:58:22.230408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2753
 
15.1%
( 882
 
4.8%
) 881
 
4.8%
4 720
 
3.9%
동 671
 
3.7%
1 652
 
3.6%
산 622
 
3.4%
부 616
 
3.4%
로 599
 
3.3%
구 581
 
3.2%
Other values (249) 9253
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8960
49.1%
Decimal Number 4529
24.8%
Space Separator 2753
 
15.1%
Open Punctuation 882
 
4.8%
Close Punctuation 881
 
4.8%
Dash Punctuation 129
 
0.7%
Other Punctuation 95
 
0.5%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 671
 
7.5%
산 622
 
6.9%
부 616
 
6.9%
로 599
 
6.7%
구 581
 
6.5%
시 567
 
6.3%
광 442
 
4.9%
역 410
 
4.6%
길 387
 
4.3%
번 371
 
4.1%
Other values (233) 3694
41.2%
Decimal Number
ValueCountFrequency (%)
4 720
15.9%
1 652
14.4%
2 548
12.1%
3 439
9.7%
6 388
8.6%
9 386
8.5%
5 381
8.4%
7 376
8.3%
8 336
7.4%
0 303
6.7%
Space Separator
ValueCountFrequency (%)
2753
100.0%
Open Punctuation
ValueCountFrequency (%)
( 882
100.0%
Close Punctuation
ValueCountFrequency (%)
) 881
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Other Punctuation
ValueCountFrequency (%)
, 95
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9269
50.8%
Hangul 8960
49.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 671
 
7.5%
산 622
 
6.9%
부 616
 
6.9%
로 599
 
6.7%
구 581
 
6.5%
시 567
 
6.3%
광 442
 
4.9%
역 410
 
4.6%
길 387
 
4.3%
번 371
 
4.1%
Other values (233) 3694
41.2%
Common
ValueCountFrequency (%)
2753
29.7%
( 882
 
9.5%
) 881
 
9.5%
4 720
 
7.8%
1 652
 
7.0%
2 548
 
5.9%
3 439
 
4.7%
6 388
 
4.2%
9 386
 
4.2%
5 381
 
4.1%
Other values (5) 1239
13.4%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9270
50.9%
Hangul 8960
49.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2753
29.7%
( 882
 
9.5%
) 881
 
9.5%
4 720
 
7.8%
1 652
 
7.0%
2 548
 
5.9%
3 439
 
4.7%
6 388
 
4.2%
9 386
 
4.2%
5 381
 
4.1%
Other values (6) 1240
13.4%
Hangul
ValueCountFrequency (%)
동 671
 
7.5%
산 622
 
6.9%
부 616
 
6.9%
로 599
 
6.7%
구 581
 
6.5%
시 567
 
6.3%
광 442
 
4.9%
역 410
 
4.6%
길 387
 
4.3%
번 371
 
4.1%
Other values (233) 3694
41.2%

tel
Text

Distinct619
Distinct (%)98.7%
Missing5
Missing (%)0.8%
Memory size5.1 KiB
2024-04-16T13:58:22.485488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.966507
Min length3

Characters and Unicode

Total characters7503
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique615 ?
Unique (%)98.1%

Sample

1st row051-271-4235
2nd row051-314-3063
3rd row051-311-4628
4th row051-291-6368
5th row051-202-5588
ValueCountFrequency (%)
음식점 4
 
0.6%
010-0000-0000 4
 
0.6%
051-756-0815 2
 
0.3%
051-255-8336 2
 
0.3%
051-256-1447 1
 
0.2%
051-255-2122 1
 
0.2%
051-255-4379 1
 
0.2%
010-6712-2324 1
 
0.2%
051-501-0434 1
 
0.2%
051-545-5960 1
 
0.2%
Other values (609) 609
97.1%
2024-04-16T13:58:22.860477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1230
16.4%
5 1133
15.1%
0 1072
14.3%
1 1007
13.4%
2 554
7.4%
3 501
6.7%
4 464
 
6.2%
7 426
 
5.7%
6 426
 
5.7%
8 407
 
5.4%
Other values (4) 283
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6261
83.4%
Dash Punctuation 1230
 
16.4%
Other Letter 12
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1133
18.1%
0 1072
17.1%
1 1007
16.1%
2 554
8.8%
3 501
8.0%
4 464
7.4%
7 426
 
6.8%
6 426
 
6.8%
8 407
 
6.5%
9 271
 
4.3%
Other Letter
ValueCountFrequency (%)
음 4
33.3%
식 4
33.3%
점 4
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1230
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7491
99.8%
Hangul 12
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1230
16.4%
5 1133
15.1%
0 1072
14.3%
1 1007
13.4%
2 554
7.4%
3 501
6.7%
4 464
 
6.2%
7 426
 
5.7%
6 426
 
5.7%
8 407
 
5.4%
Hangul
ValueCountFrequency (%)
음 4
33.3%
식 4
33.3%
점 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7491
99.8%
Hangul 12
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1230
16.4%
5 1133
15.1%
0 1072
14.3%
1 1007
13.4%
2 554
7.4%
3 501
6.7%
4 464
 
6.2%
7 426
 
5.7%
6 426
 
5.7%
8 407
 
5.4%
Hangul
ValueCountFrequency (%)
음 4
33.3%
식 4
33.3%
점 4
33.3%

cn_cd
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)1.3%
Missing4
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean603.38854
Minimum173
Maximum676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-16T13:58:23.000855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173
5-th percentile602
Q1602
median602
Q3602
95-th percentile604
Maximum676
Range503
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.438807
Coefficient of variation (CV)0.05376106
Kurtosis108.83512
Mean603.38854
Median Absolute Deviation (MAD)0
Skewness-8.5196606
Sum378928
Variance1052.2762
MonotonicityNot monotonic
2024-04-16T13:58:23.125648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
602 501
79.3%
603 81
 
12.8%
676 29
 
4.6%
604 13
 
2.1%
182 1
 
0.2%
173 1
 
0.2%
329 1
 
0.2%
343 1
 
0.2%
(Missing) 4
 
0.6%
ValueCountFrequency (%)
173 1
 
0.2%
182 1
 
0.2%
329 1
 
0.2%
343 1
 
0.2%
602 501
79.3%
603 81
 
12.8%
604 13
 
2.1%
676 29
 
4.6%
ValueCountFrequency (%)
676 29
 
4.6%
604 13
 
2.1%
603 81
 
12.8%
602 501
79.3%
343 1
 
0.2%
329 1
 
0.2%
182 1
 
0.2%
173 1
 
0.2%

cn
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
음식점
501 
이미용
81 
기타
 
29
목욕
 
13
<NA>
 
4
Other values (4)
 
4

Length

Max length5
Median length3
Mean length2.9462025
Min length2

Unique

Unique4 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
음식점 501
79.3%
이미용 81
 
12.8%
기타 29
 
4.6%
목욕 13
 
2.1%
<NA> 4
 
0.6%
만덕동 1
 
0.2%
구포동 1
 
0.2%
보수동2가 1
 
0.2%
중앙동1가 1
 
0.2%

Length

2024-04-16T13:58:23.286316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:58:23.399904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식점 501
79.3%
이미용 81
 
12.8%
기타 29
 
4.6%
목욕 13
 
2.1%
na 4
 
0.6%
만덕동 1
 
0.2%
구포동 1
 
0.2%
보수동2가 1
 
0.2%
중앙동1가 1
 
0.2%

locale_cd
Text

Distinct198
Distinct (%)31.5%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2024-04-16T13:58:23.758315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length3
Mean length3.2117834
Min length2

Characters and Unicode

Total characters2017
Distinct characters106
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)10.7%

Sample

1st row155
2nd row202
3rd row202
4th row220
5th row211
ValueCountFrequency (%)
59 22
 
3.2%
280 19
 
2.7%
135 17
 
2.5%
45 16
 
2.3%
271 14
 
2.0%
188 13
 
1.9%
192 12
 
1.7%
216 10
 
1.4%
95 10
 
1.4%
202 10
 
1.4%
Other values (235) 550
79.4%
2024-04-16T13:58:24.277580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 350
17.4%
1 257
12.7%
3 183
9.1%
5 171
8.5%
8 150
7.4%
0 143
7.1%
9 141
7.0%
4 130
 
6.4%
7 127
 
6.3%
6 83
 
4.1%
Other values (96) 282
14.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1735
86.0%
Other Letter 208
 
10.3%
Space Separator 66
 
3.3%
Other Punctuation 6
 
0.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
을 12
 
5.8%
가 10
 
4.8%
격 9
 
4.3%
정 8
 
3.8%
음 6
 
2.9%
고 6
 
2.9%
지 6
 
2.9%
해 5
 
2.4%
년 5
 
2.4%
위 5
 
2.4%
Other values (80) 136
65.4%
Decimal Number
ValueCountFrequency (%)
2 350
20.2%
1 257
14.8%
3 183
10.5%
5 171
9.9%
8 150
8.6%
0 143
8.2%
9 141
8.1%
4 130
 
7.5%
7 127
 
7.3%
6 83
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
. 2
33.3%
· 1
 
16.7%
Space Separator
ValueCountFrequency (%)
66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1809
89.7%
Hangul 208
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
을 12
 
5.8%
가 10
 
4.8%
격 9
 
4.3%
정 8
 
3.8%
음 6
 
2.9%
고 6
 
2.9%
지 6
 
2.9%
해 5
 
2.4%
년 5
 
2.4%
위 5
 
2.4%
Other values (80) 136
65.4%
Common
ValueCountFrequency (%)
2 350
19.3%
1 257
14.2%
3 183
10.1%
5 171
9.5%
8 150
8.3%
0 143
7.9%
9 141
7.8%
4 130
 
7.2%
7 127
 
7.0%
6 83
 
4.6%
Other values (6) 74
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1808
89.6%
Hangul 208
 
10.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 350
19.4%
1 257
14.2%
3 183
10.1%
5 171
9.5%
8 150
8.3%
0 143
7.9%
9 141
7.8%
4 130
 
7.2%
7 127
 
7.0%
6 83
 
4.6%
Other values (5) 73
 
4.0%
Hangul
ValueCountFrequency (%)
을 12
 
5.8%
가 10
 
4.8%
격 9
 
4.3%
정 8
 
3.8%
음 6
 
2.9%
고 6
 
2.9%
지 6
 
2.9%
해 5
 
2.4%
년 5
 
2.4%
위 5
 
2.4%
Other values (80) 136
65.4%
None
ValueCountFrequency (%)
· 1
100.0%

locale
Text

Distinct196
Distinct (%)31.2%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2024-04-16T13:58:24.629285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.7292994
Min length1

Characters and Unicode

Total characters2342
Distinct characters108
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)10.2%

Sample

1st row명지동
2nd row주례동
3rd row주례동
4th row신평동
5th row괴정동
ValueCountFrequency (%)
대연동 22
 
3.5%
연산동 19
 
3.0%
부전1동 17
 
2.7%
기장읍 16
 
2.5%
거제동 14
 
2.2%
감전동 13
 
2.1%
덕포동 12
 
1.9%
주례동 10
 
1.6%
당리동 10
 
1.6%
명륜동 10
 
1.6%
Other values (186) 485
77.2%
2024-04-16T13:58:25.072321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 630
26.9%
1 137
 
5.8%
2 116
 
5.0%
가 110
 
4.7%
연 64
 
2.7%
대 58
 
2.5%
3 54
 
2.3%
부 48
 
2.0%
전 43
 
1.8%
천 40
 
1.7%
Other values (98) 1042
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1994
85.1%
Decimal Number 344
 
14.7%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 630
31.6%
가 110
 
5.5%
연 64
 
3.2%
대 58
 
2.9%
부 48
 
2.4%
전 43
 
2.2%
천 40
 
2.0%
산 39
 
2.0%
장 37
 
1.9%
정 36
 
1.8%
Other values (88) 889
44.6%
Decimal Number
ValueCountFrequency (%)
1 137
39.8%
2 116
33.7%
3 54
 
15.7%
4 18
 
5.2%
5 13
 
3.8%
6 3
 
0.9%
9 2
 
0.6%
8 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 3
75.0%
Y 1
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1994
85.1%
Common 344
 
14.7%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 630
31.6%
가 110
 
5.5%
연 64
 
3.2%
대 58
 
2.9%
부 48
 
2.4%
전 43
 
2.2%
천 40
 
2.0%
산 39
 
2.0%
장 37
 
1.9%
정 36
 
1.8%
Other values (88) 889
44.6%
Common
ValueCountFrequency (%)
1 137
39.8%
2 116
33.7%
3 54
 
15.7%
4 18
 
5.2%
5 13
 
3.8%
6 3
 
0.9%
9 2
 
0.6%
8 1
 
0.3%
Latin
ValueCountFrequency (%)
N 3
75.0%
Y 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1994
85.1%
ASCII 348
 
14.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 630
31.6%
가 110
 
5.5%
연 64
 
3.2%
대 58
 
2.9%
부 48
 
2.4%
전 43
 
2.2%
천 40
 
2.0%
산 39
 
2.0%
장 37
 
1.9%
정 36
 
1.8%
Other values (88) 889
44.6%
ASCII
ValueCountFrequency (%)
1 137
39.4%
2 116
33.3%
3 54
 
15.5%
4 18
 
5.2%
5 13
 
3.7%
N 3
 
0.9%
6 3
 
0.9%
9 2
 
0.6%
Y 1
 
0.3%
8 1
 
0.3%

intrcn
Text

Distinct559
Distinct (%)89.0%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2024-04-16T13:58:25.293228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length164
Mean length85.191083
Min length7

Characters and Unicode

Total characters53500
Distinct characters688
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique551 ?
Unique (%)87.7%

Sample

1st row건물 임대료가 없고, 부부가 운영하며 인건비 절약. 금곡축산에서 1등급 고기를 계약공급 받으며, 지역 외국인 근로자에게 월 1회 무료로 고기등 제공하는 봉사실천.
2nd row인근 대학교 학생을 상대로 박리다매로 운영
3rd row자가건물에 부부내외가 직접 운영하여 인건비를 절약하고 있고, 직접 담근 깎두기 및 음식맛에 대하여 인근에 입소문이 나있음
4th row좋은 고기를 들여와서 비법의 양념을 하여 갈비맛이 일품임. 저소득층이 많아 이윤을 최소화하여 박리다매의 영업원칙. 3년째 현 가격을 유지하고 있음
5th row한자리에서 36년 넘게 중식점을 운영한 주인의 음식맛이 일품이며, 가족경영으로 인건비를 절감하였고 박리다매로 저렴한 가격을 유지하고 있음
ValueCountFrequency (%)
직접 117
 
1.5%
저렴한 111
 
1.4%
가격으로 64
 
0.8%
있음 55
 
0.7%
p>&nbsp;</p 49
 
0.6%
face="굴림 43
 
0.6%
style="width 42
 
0.5%
및 42
 
0.5%
size="3 41
 
0.5%
재료를 40
 
0.5%
Other values (3261) 7174
92.2%
2024-04-16T13:58:25.665537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7453
 
13.9%
p 2075
 
3.9%
< 1494
 
2.8%
> 1488
 
2.8%
s 1440
 
2.7%
n 1280
 
2.4%
t 1239
 
2.3%
" 1154
 
2.2%
b 1043
 
1.9%
; 1032
 
1.9%
Other values (678) 33802
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20935
39.1%
Lowercase Letter 14476
27.1%
Space Separator 7453
 
13.9%
Other Punctuation 4721
 
8.8%
Math Symbol 3502
 
6.5%
Decimal Number 1697
 
3.2%
Dash Punctuation 399
 
0.7%
Uppercase Letter 128
 
0.2%
Connector Punctuation 105
 
0.2%
Open Punctuation 37
 
0.1%
Other values (2) 47
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 703
 
3.4%
이 593
 
2.8%
가 585
 
2.8%
고 545
 
2.6%
한 462
 
2.2%
로 446
 
2.1%
을 320
 
1.5%
으 304
 
1.5%
에 299
 
1.4%
인 294
 
1.4%
Other values (595) 16384
78.3%
Lowercase Letter
ValueCountFrequency (%)
p 2075
14.3%
s 1440
 
9.9%
n 1280
 
8.8%
t 1239
 
8.6%
b 1043
 
7.2%
e 1002
 
6.9%
o 776
 
5.4%
a 736
 
5.1%
r 646
 
4.5%
l 611
 
4.2%
Other values (16) 3628
25.1%
Uppercase Letter
ValueCountFrequency (%)
E 17
13.3%
S 16
12.5%
N 13
10.2%
U 11
 
8.6%
B 10
 
7.8%
M 7
 
5.5%
A 7
 
5.5%
P 7
 
5.5%
I 7
 
5.5%
T 5
 
3.9%
Other values (9) 28
21.9%
Other Punctuation
ValueCountFrequency (%)
" 1154
24.4%
; 1032
21.9%
& 689
14.6%
/ 655
13.9%
: 431
 
9.1%
, 417
 
8.8%
. 301
 
6.4%
% 18
 
0.4%
! 10
 
0.2%
* 6
 
0.1%
Other values (2) 8
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 431
25.4%
3 233
13.7%
1 227
13.4%
2 188
11.1%
5 178
10.5%
4 100
 
5.9%
8 99
 
5.8%
9 87
 
5.1%
7 84
 
4.9%
6 70
 
4.1%
Math Symbol
ValueCountFrequency (%)
< 1494
42.7%
> 1488
42.5%
= 514
 
14.7%
~ 5
 
0.1%
+ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 23
74.2%
} 5
 
16.1%
] 3
 
9.7%
Open Punctuation
ValueCountFrequency (%)
( 23
62.2%
{ 11
29.7%
[ 3
 
8.1%
Format
ValueCountFrequency (%)
 9
56.2%
​ 7
43.8%
Space Separator
ValueCountFrequency (%)
7453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 399
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20935
39.1%
Common 17961
33.6%
Latin 14604
27.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 703
 
3.4%
이 593
 
2.8%
가 585
 
2.8%
고 545
 
2.6%
한 462
 
2.2%
로 446
 
2.1%
을 320
 
1.5%
으 304
 
1.5%
에 299
 
1.4%
인 294
 
1.4%
Other values (595) 16384
78.3%
Latin
ValueCountFrequency (%)
p 2075
14.2%
s 1440
 
9.9%
n 1280
 
8.8%
t 1239
 
8.5%
b 1043
 
7.1%
e 1002
 
6.9%
o 776
 
5.3%
a 736
 
5.0%
r 646
 
4.4%
l 611
 
4.2%
Other values (35) 3756
25.7%
Common
ValueCountFrequency (%)
7453
41.5%
< 1494
 
8.3%
> 1488
 
8.3%
" 1154
 
6.4%
; 1032
 
5.7%
& 689
 
3.8%
/ 655
 
3.6%
= 514
 
2.9%
: 431
 
2.4%
0 431
 
2.4%
Other values (28) 2620
 
14.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32547
60.8%
Hangul 20935
39.1%
None 11
 
< 0.1%
Punctuation 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7453
22.9%
p 2075
 
6.4%
< 1494
 
4.6%
> 1488
 
4.6%
s 1440
 
4.4%
n 1280
 
3.9%
t 1239
 
3.8%
" 1154
 
3.5%
b 1043
 
3.2%
; 1032
 
3.2%
Other values (70) 12849
39.5%
Hangul
ValueCountFrequency (%)
하 703
 
3.4%
이 593
 
2.8%
가 585
 
2.8%
고 545
 
2.6%
한 462
 
2.2%
로 446
 
2.1%
을 320
 
1.5%
으 304
 
1.5%
에 299
 
1.4%
인 294
 
1.4%
Other values (595) 16384
78.3%
None
ValueCountFrequency (%)
 9
81.8%
· 2
 
18.2%
Punctuation
ValueCountFrequency (%)
​ 7
100.0%

parkng_at
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
N
425 
Y
199 
<NA>
 
4
20130221024508
 
4

Length

Max length14
Median length1
Mean length1.1012658
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowN
3rd rowN
4th rowY
5th rowN

Common Values

ValueCountFrequency (%)
N 425
67.2%
Y 199
31.5%
<NA> 4
 
0.6%
20130221024508 4
 
0.6%

Length

2024-04-16T13:58:25.796573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:58:25.909484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 425
67.2%
y 199
31.5%
na 4
 
0.6%
20130221024508 4
 
0.6%

bsn_time
Text

Distinct281
Distinct (%)44.7%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2024-04-16T13:58:26.143528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length11
Mean length13.001592
Min length2

Characters and Unicode

Total characters8165
Distinct characters93
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)32.2%

Sample

1st row06:00~23:00
2nd row09:00-23:00, 넷째 일요일 휴무
3rd row11:00-21:00
4th row11:00~23:00
5th row11:30-19:30
ValueCountFrequency (%)
67
 
6.7%
휴무 50
 
5.0%
pm 47
 
4.7%
am 43
 
4.3%
10:00~22:00 35
 
3.5%
11:00~21:00 27
 
2.7%
10:00~20:00 26
 
2.6%
10:00~21:00 25
 
2.5%
09:00~21:00 24
 
2.4%
11:00~22:00 23
 
2.3%
Other values (261) 640
63.6%
2024-04-16T13:58:26.570991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2697
33.0%
: 1185
14.5%
1 810
 
9.9%
2 659
 
8.1%
~ 502
 
6.1%
471
 
5.8%
3 223
 
2.7%
9 186
 
2.3%
m 114
 
1.4%
- 107
 
1.3%
Other values (83) 1211
14.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4787
58.6%
Other Punctuation 1263
 
15.5%
Other Letter 530
 
6.5%
Math Symbol 518
 
6.3%
Space Separator 471
 
5.8%
Lowercase Letter 346
 
4.2%
Dash Punctuation 107
 
1.3%
Uppercase Letter 68
 
0.8%
Open Punctuation 37
 
0.5%
Close Punctuation 37
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 87
16.4%
무 61
11.5%
휴 61
11.5%
요 57
10.8%
시 53
10.0%
매 35
6.6%
주 33
 
6.2%
째 23
 
4.3%
화 20
 
3.8%
간 18
 
3.4%
Other values (30) 82
15.5%
Lowercase Letter
ValueCountFrequency (%)
m 114
32.9%
p 67
19.4%
a 59
17.1%
e 20
 
5.8%
o 12
 
3.5%
r 9
 
2.6%
c 8
 
2.3%
l 8
 
2.3%
f 8
 
2.3%
g 8
 
2.3%
Other values (8) 33
 
9.5%
Decimal Number
ValueCountFrequency (%)
0 2697
56.3%
1 810
 
16.9%
2 659
 
13.8%
3 223
 
4.7%
9 186
 
3.9%
8 72
 
1.5%
4 55
 
1.1%
7 47
 
1.0%
5 23
 
0.5%
6 15
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
I 16
23.5%
N 12
17.6%
M 8
11.8%
G 8
11.8%
T 4
 
5.9%
L 4
 
5.9%
K 4
 
5.9%
A 4
 
5.9%
U 4
 
5.9%
D 4
 
5.9%
Other Punctuation
ValueCountFrequency (%)
: 1185
93.8%
, 38
 
3.0%
; 12
 
1.0%
& 12
 
1.0%
/ 10
 
0.8%
? 4
 
0.3%
' 1
 
0.1%
· 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 502
96.9%
= 16
 
3.1%
Space Separator
ValueCountFrequency (%)
471
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7221
88.4%
Hangul 530
 
6.5%
Latin 414
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 87
16.4%
무 61
11.5%
휴 61
11.5%
요 57
10.8%
시 53
10.0%
매 35
6.6%
주 33
 
6.2%
째 23
 
4.3%
화 20
 
3.8%
간 18
 
3.4%
Other values (30) 82
15.5%
Latin
ValueCountFrequency (%)
m 114
27.5%
p 67
16.2%
a 59
14.3%
e 20
 
4.8%
I 16
 
3.9%
N 12
 
2.9%
o 12
 
2.9%
r 9
 
2.2%
c 8
 
1.9%
M 8
 
1.9%
Other values (18) 89
21.5%
Common
ValueCountFrequency (%)
0 2697
37.3%
: 1185
16.4%
1 810
 
11.2%
2 659
 
9.1%
~ 502
 
7.0%
471
 
6.5%
3 223
 
3.1%
9 186
 
2.6%
- 107
 
1.5%
8 72
 
1.0%
Other values (15) 309
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7634
93.5%
Hangul 530
 
6.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2697
35.3%
: 1185
15.5%
1 810
 
10.6%
2 659
 
8.6%
~ 502
 
6.6%
471
 
6.2%
3 223
 
2.9%
9 186
 
2.4%
m 114
 
1.5%
- 107
 
1.4%
Other values (42) 680
 
8.9%
Hangul
ValueCountFrequency (%)
일 87
16.4%
무 61
11.5%
휴 61
11.5%
요 57
10.8%
시 53
10.0%
매 35
6.6%
주 33
 
6.2%
째 23
 
4.3%
화 20
 
3.8%
간 18
 
3.4%
Other values (30) 82
15.5%
None
ValueCountFrequency (%)
· 1
100.0%

creat_dt
Text

Distinct485
Distinct (%)77.2%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2024-04-16T13:58:26.855947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length13.990446
Min length10

Characters and Unicode

Total characters8786
Distinct characters41
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

Unique484 ?
Unique (%)77.1%

Sample

1st row20130221024508
2nd row20130221024508
3rd row20130221024508
4th row20130221024508
5th row20130221024508
ValueCountFrequency (%)
20130221024508 144
 
22.9%
20200716041527 1
 
0.2%
20150819111250 1
 
0.2%
20150819110553 1
 
0.2%
20200417051927 1
 
0.2%
20200327061342 1
 
0.2%
20200327061606 1
 
0.2%
20200409094935 1
 
0.2%
20200409101853 1
 
0.2%
20200409102638 1
 
0.2%
Other values (475) 475
75.6%
2024-04-16T13:58:27.240354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2379
27.1%
2 1684
19.2%
1 1408
16.0%
3 724
 
8.2%
4 657
 
7.5%
5 651
 
7.4%
8 354
 
4.0%
7 299
 
3.4%
9 294
 
3.3%
6 287
 
3.3%
Other values (31) 49
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8737
99.4%
Other Letter 30
 
0.3%
Lowercase Letter 12
 
0.1%
Other Punctuation 4
 
< 0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 2
 
6.7%
내 2
 
6.7%
전 2
 
6.7%
부 2
 
6.7%
돼 1
 
3.3%
문 1
 
3.3%
집 1
 
3.3%
보 1
 
3.3%
뚱 1
 
3.3%
당 1
 
3.3%
Other values (16) 16
53.3%
Decimal Number
ValueCountFrequency (%)
0 2379
27.2%
2 1684
19.3%
1 1408
16.1%
3 724
 
8.3%
4 657
 
7.5%
5 651
 
7.5%
8 354
 
4.1%
7 299
 
3.4%
9 294
 
3.4%
6 287
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
g 4
33.3%
p 4
33.3%
j 4
33.3%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8744
99.5%
Hangul 30
 
0.3%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 2
 
6.7%
내 2
 
6.7%
전 2
 
6.7%
부 2
 
6.7%
돼 1
 
3.3%
문 1
 
3.3%
집 1
 
3.3%
보 1
 
3.3%
뚱 1
 
3.3%
당 1
 
3.3%
Other values (16) 16
53.3%
Common
ValueCountFrequency (%)
0 2379
27.2%
2 1684
19.3%
1 1408
16.1%
3 724
 
8.3%
4 657
 
7.5%
5 651
 
7.4%
8 354
 
4.0%
7 299
 
3.4%
9 294
 
3.4%
6 287
 
3.3%
Other values (2) 7
 
0.1%
Latin
ValueCountFrequency (%)
g 4
33.3%
p 4
33.3%
j 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8756
99.7%
Hangul 30
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2379
27.2%
2 1684
19.2%
1 1408
16.1%
3 724
 
8.3%
4 657
 
7.5%
5 651
 
7.4%
8 354
 
4.0%
7 299
 
3.4%
9 294
 
3.4%
6 287
 
3.3%
Other values (5) 19
 
0.2%
Hangul
ValueCountFrequency (%)
국 2
 
6.7%
내 2
 
6.7%
전 2
 
6.7%
부 2
 
6.7%
돼 1
 
3.3%
문 1
 
3.3%
집 1
 
3.3%
보 1
 
3.3%
뚱 1
 
3.3%
당 1
 
3.3%
Other values (16) 16
53.3%

img_file1
Text

MISSING 

Distinct590
Distinct (%)100.0%
Missing42
Missing (%)6.6%
Memory size5.1 KiB
2024-04-16T13:58:27.575748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length76
Mean length75.69322
Min length73

Characters and Unicode

Total characters44659
Distinct characters42
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique590 ?
Unique (%)100.0%

Sample

1st row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=381&amp;fileTy=IMG&amp;fileNo=2
2nd row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=432&amp;fileTy=IMG&amp;fileNo=4
3rd row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=430&amp;fileTy=IMG&amp;fileNo=3
4th row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=346&amp;fileTy=IMG&amp;fileNo=2
5th row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=335&amp;fileTy=IMG&amp;fileNo=2
ValueCountFrequency (%)
comm/getimage?srvcid=mulgakind&amp;upperno=1317&amp;filety=img&amp;fileno=2 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4535&amp;filety=img&amp;fileno=1 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4136&amp;filety=img&amp;fileno=1 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4226&amp;filety=img&amp;fileno=1 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4237&amp;filety=img&amp;fileno=1 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4235&amp;filety=img&amp;fileno=1 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4199&amp;filety=img&amp;fileno=1 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4160&amp;filety=img&amp;fileno=6 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4152&amp;filety=img&amp;fileno=3 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4116&amp;filety=img&amp;fileno=4 1
 
0.2%
Other values (580) 580
98.3%
2024-04-16T13:58:28.017634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 3540
 
7.9%
e 2950
 
6.6%
p 2950
 
6.6%
I 2360
 
5.3%
a 2360
 
5.3%
= 2360
 
5.3%
N 1770
 
4.0%
o 1770
 
4.0%
; 1770
 
4.0%
& 1770
 
4.0%
Other values (32) 21059
47.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24190
54.2%
Uppercase Letter 10030
22.5%
Other Punctuation 5310
 
11.9%
Decimal Number 2769
 
6.2%
Math Symbol 2360
 
5.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 3540
14.6%
e 2950
12.2%
p 2950
12.2%
a 2360
9.8%
o 1770
 
7.3%
l 1180
 
4.9%
i 1180
 
4.9%
f 1180
 
4.9%
c 1180
 
4.9%
r 1180
 
4.9%
Other values (7) 4720
19.5%
Uppercase Letter
ValueCountFrequency (%)
I 2360
23.5%
N 1770
17.6%
G 1180
11.8%
M 1180
11.8%
A 590
 
5.9%
K 590
 
5.9%
D 590
 
5.9%
T 590
 
5.9%
L 590
 
5.9%
U 590
 
5.9%
Decimal Number
ValueCountFrequency (%)
4 571
20.6%
1 502
18.1%
2 471
17.0%
3 346
12.5%
5 214
 
7.7%
6 169
 
6.1%
9 128
 
4.6%
8 124
 
4.5%
7 123
 
4.4%
0 121
 
4.4%
Other Punctuation
ValueCountFrequency (%)
; 1770
33.3%
& 1770
33.3%
/ 1180
22.2%
? 590
 
11.1%
Math Symbol
ValueCountFrequency (%)
= 2360
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 34220
76.6%
Common 10439
 
23.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 3540
 
10.3%
e 2950
 
8.6%
p 2950
 
8.6%
I 2360
 
6.9%
a 2360
 
6.9%
N 1770
 
5.2%
o 1770
 
5.2%
G 1180
 
3.4%
l 1180
 
3.4%
i 1180
 
3.4%
Other values (17) 12980
37.9%
Common
ValueCountFrequency (%)
= 2360
22.6%
; 1770
17.0%
& 1770
17.0%
/ 1180
11.3%
? 590
 
5.7%
4 571
 
5.5%
1 502
 
4.8%
2 471
 
4.5%
3 346
 
3.3%
5 214
 
2.1%
Other values (5) 665
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44659
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m 3540
 
7.9%
e 2950
 
6.6%
p 2950
 
6.6%
I 2360
 
5.3%
a 2360
 
5.3%
= 2360
 
5.3%
N 1770
 
4.0%
o 1770
 
4.0%
; 1770
 
4.0%
& 1770
 
4.0%
Other values (32) 21059
47.2%

img_name1
Text

MISSING 

Distinct584
Distinct (%)99.0%
Missing42
Missing (%)6.6%
Memory size5.1 KiB
2024-04-16T13:58:28.262735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length24
Mean length12.208475
Min length5

Characters and Unicode

Total characters7203
Distinct characters414
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

Unique581 ?
Unique (%)98.5%

Sample

1st row명지돼지국밥(내부).jpg
2nd row20170901_145133.jpg
3rd row주례칼국수.jpg
4th row진영숯불갈비2.jpg
5th row화신반점2.jpg
ValueCountFrequency (%)
1).jpg 8
 
1.2%
3).jpg 8
 
1.2%
4).jpg 8
 
1.2%
외부.jpg 7
 
1.0%
20200228_외부사진.jpg 5
 
0.7%
2.jpg 4
 
0.6%
내부.jpg 4
 
0.6%
2).jpg 3
 
0.4%
간판.jpg 3
 
0.4%
내부전경.jpg 3
 
0.4%
Other values (618) 624
92.2%
2024-04-16T13:58:28.653945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 614
 
8.5%
p 508
 
7.1%
g 504
 
7.0%
j 479
 
6.7%
2 312
 
4.3%
1 306
 
4.2%
0 269
 
3.7%
_ 152
 
2.1%
5 123
 
1.7%
부 122
 
1.7%
Other values (404) 3814
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2796
38.8%
Lowercase Letter 1573
21.8%
Decimal Number 1476
20.5%
Other Punctuation 618
 
8.6%
Uppercase Letter 294
 
4.1%
Connector Punctuation 152
 
2.1%
Space Separator 87
 
1.2%
Open Punctuation 84
 
1.2%
Close Punctuation 84
 
1.2%
Dash Punctuation 38
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 122
 
4.4%
내 91
 
3.3%
국 69
 
2.5%
식 57
 
2.0%
가 54
 
1.9%
수 54
 
1.9%
당 48
 
1.7%
미 42
 
1.5%
밥 42
 
1.5%
어 40
 
1.4%
Other values (355) 2177
77.9%
Lowercase Letter
ValueCountFrequency (%)
p 508
32.3%
g 504
32.0%
j 479
30.5%
n 19
 
1.2%
m 15
 
1.0%
b 15
 
1.0%
i 9
 
0.6%
f 7
 
0.4%
e 5
 
0.3%
a 3
 
0.2%
Other values (7) 9
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
G 89
30.3%
P 78
26.5%
J 78
26.5%
I 11
 
3.7%
M 11
 
3.7%
C 6
 
2.0%
D 5
 
1.7%
N 5
 
1.7%
S 4
 
1.4%
B 4
 
1.4%
Other values (2) 3
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 312
21.1%
1 306
20.7%
0 269
18.2%
5 123
 
8.3%
4 116
 
7.9%
3 99
 
6.7%
8 73
 
4.9%
6 73
 
4.9%
7 57
 
3.9%
9 48
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 614
99.4%
% 2
 
0.3%
& 1
 
0.2%
？ 1
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_ 152
100.0%
Space Separator
ValueCountFrequency (%)
87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Modifier Symbol
ValueCountFrequency (%)
˸ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2796
38.8%
Common 2540
35.3%
Latin 1867
25.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 122
 
4.4%
내 91
 
3.3%
국 69
 
2.5%
식 57
 
2.0%
가 54
 
1.9%
수 54
 
1.9%
당 48
 
1.7%
미 42
 
1.5%
밥 42
 
1.5%
어 40
 
1.4%
Other values (355) 2177
77.9%
Latin
ValueCountFrequency (%)
p 508
27.2%
g 504
27.0%
j 479
25.7%
G 89
 
4.8%
P 78
 
4.2%
J 78
 
4.2%
n 19
 
1.0%
m 15
 
0.8%
b 15
 
0.8%
I 11
 
0.6%
Other values (19) 71
 
3.8%
Common
ValueCountFrequency (%)
. 614
24.2%
2 312
12.3%
1 306
12.0%
0 269
10.6%
_ 152
 
6.0%
5 123
 
4.8%
4 116
 
4.6%
3 99
 
3.9%
87
 
3.4%
( 84
 
3.3%
Other values (10) 378
14.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4405
61.2%
Hangul 2796
38.8%
None 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 614
13.9%
p 508
11.5%
g 504
11.4%
j 479
10.9%
2 312
 
7.1%
1 306
 
6.9%
0 269
 
6.1%
_ 152
 
3.5%
5 123
 
2.8%
4 116
 
2.6%
Other values (37) 1022
23.2%
Hangul
ValueCountFrequency (%)
부 122
 
4.4%
내 91
 
3.3%
국 69
 
2.5%
식 57
 
2.0%
가 54
 
1.9%
수 54
 
1.9%
당 48
 
1.7%
미 42
 
1.5%
밥 42
 
1.5%
어 40
 
1.4%
Other values (355) 2177
77.9%
None
ValueCountFrequency (%)
？ 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˸ 1
100.0%

img_file2
Text

MISSING 

Distinct338
Distinct (%)100.0%
Missing294
Missing (%)46.5%
Memory size5.1 KiB
2024-04-16T13:58:28.932903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length76
Mean length74.66568
Min length3

Characters and Unicode

Total characters25237
Distinct characters42
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique338 ?
Unique (%)100.0%

Sample

1st row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=381&amp;fileTy=IMG&amp;fileNo=1
2nd row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=432&amp;fileTy=IMG&amp;fileNo=3
3rd row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=346&amp;fileTy=IMG&amp;fileNo=1
4th row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=335&amp;fileTy=IMG&amp;fileNo=1
5th row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=334&amp;fileTy=IMG&amp;fileNo=1
ValueCountFrequency (%)
comm/getimage?srvcid=mulgakind&amp;upperno=354&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=4427&amp;filety=img&amp;fileno=2 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=3602&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=3061&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=4413&amp;filety=img&amp;fileno=2 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=4416&amp;filety=img&amp;fileno=2 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=4421&amp;filety=img&amp;fileno=2 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=4422&amp;filety=img&amp;fileno=2 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=4424&amp;filety=img&amp;fileno=2 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=4426&amp;filety=img&amp;fileno=2 1
 
0.3%
Other values (328) 328
97.0%
2024-04-16T13:58:29.331747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 2004
 
7.9%
e 1670
 
6.6%
p 1670
 
6.6%
I 1336
 
5.3%
a 1336
 
5.3%
= 1336
 
5.3%
N 1002
 
4.0%
o 1002
 
4.0%
; 1002
 
4.0%
& 1002
 
4.0%
Other values (32) 11877
47.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13694
54.3%
Uppercase Letter 5678
22.5%
Other Punctuation 3006
 
11.9%
Decimal Number 1523
 
6.0%
Math Symbol 1336
 
5.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 2004
14.6%
e 1670
12.2%
p 1670
12.2%
a 1336
9.8%
o 1002
 
7.3%
l 668
 
4.9%
i 668
 
4.9%
f 668
 
4.9%
c 668
 
4.9%
g 668
 
4.9%
Other values (7) 2672
19.5%
Uppercase Letter
ValueCountFrequency (%)
I 1336
23.5%
N 1002
17.6%
G 668
11.8%
M 668
11.8%
U 334
 
5.9%
L 334
 
5.9%
D 334
 
5.9%
K 334
 
5.9%
A 334
 
5.9%
T 334
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 321
21.1%
2 284
18.6%
4 275
18.1%
3 163
10.7%
5 119
 
7.8%
6 91
 
6.0%
8 74
 
4.9%
0 68
 
4.5%
7 65
 
4.3%
9 63
 
4.1%
Other Punctuation
ValueCountFrequency (%)
; 1002
33.3%
& 1002
33.3%
/ 668
22.2%
? 334
 
11.1%
Math Symbol
ValueCountFrequency (%)
= 1336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19372
76.8%
Common 5865
 
23.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 2004
 
10.3%
e 1670
 
8.6%
p 1670
 
8.6%
I 1336
 
6.9%
a 1336
 
6.9%
N 1002
 
5.2%
o 1002
 
5.2%
G 668
 
3.4%
l 668
 
3.4%
i 668
 
3.4%
Other values (17) 7348
37.9%
Common
ValueCountFrequency (%)
= 1336
22.8%
; 1002
17.1%
& 1002
17.1%
/ 668
11.4%
? 334
 
5.7%
1 321
 
5.5%
2 284
 
4.8%
4 275
 
4.7%
3 163
 
2.8%
5 119
 
2.0%
Other values (5) 361
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m 2004
 
7.9%
e 1670
 
6.6%
p 1670
 
6.6%
I 1336
 
5.3%
a 1336
 
5.3%
= 1336
 
5.3%
N 1002
 
4.0%
o 1002
 
4.0%
; 1002
 
4.0%
& 1002
 
4.0%
Other values (32) 11877
47.1%

img_name2
Text

MISSING 

Distinct335
Distinct (%)99.1%
Missing294
Missing (%)46.5%
Memory size5.1 KiB
2024-04-16T13:58:29.546254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length12.970414
Min length6

Characters and Unicode

Total characters4384
Distinct characters345
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)98.8%

Sample

1st row명지돼지국밥(외부).jpg
2nd row20170901_145042.jpg
3rd row진영숯불갈비1.jpg
4th row화신반점1.jpg
5th row김밥왕국_외부.jpg
ValueCountFrequency (%)
내부.jpg 7
 
1.8%
메뉴.jpg 6
 
1.5%
1.jpg 5
 
1.3%
05:29:03 4
 
1.0%
외부.jpg 4
 
1.0%
2021-04-01 4
 
1.0%
2).jpg 3
 
0.8%
외부전경.jpg 3
 
0.8%
3).jpg 2
 
0.5%
전경.jpg 2
 
0.5%
Other values (354) 356
89.9%
2024-04-16T13:58:29.901358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 360
 
8.2%
g 293
 
6.7%
p 289
 
6.6%
j 287
 
6.5%
1 236
 
5.4%
2 179
 
4.1%
0 174
 
4.0%
_ 104
 
2.4%
부 103
 
2.3%
5 85
 
1.9%
Other values (335) 2274
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1693
38.6%
Decimal Number 969
22.1%
Lowercase Letter 896
20.4%
Other Punctuation 368
 
8.4%
Uppercase Letter 173
 
3.9%
Connector Punctuation 104
 
2.4%
Space Separator 58
 
1.3%
Open Punctuation 49
 
1.1%
Close Punctuation 48
 
1.1%
Dash Punctuation 26
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 103
 
6.1%
외 82
 
4.8%
국 39
 
2.3%
식 38
 
2.2%
가 32
 
1.9%
당 31
 
1.8%
수 29
 
1.7%
어 28
 
1.7%
미 28
 
1.7%
리 25
 
1.5%
Other values (294) 1258
74.3%
Lowercase Letter
ValueCountFrequency (%)
g 293
32.7%
p 289
32.3%
j 287
32.0%
f 5
 
0.6%
e 5
 
0.6%
n 4
 
0.4%
s 3
 
0.3%
i 3
 
0.3%
a 2
 
0.2%
r 1
 
0.1%
Other values (4) 4
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 236
24.4%
2 179
18.5%
0 174
18.0%
5 85
 
8.8%
3 65
 
6.7%
4 64
 
6.6%
6 52
 
5.4%
7 39
 
4.0%
8 38
 
3.9%
9 37
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
G 53
30.6%
J 46
26.6%
P 46
26.6%
M 8
 
4.6%
I 7
 
4.0%
D 3
 
1.7%
S 3
 
1.7%
C 3
 
1.7%
N 3
 
1.7%
A 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 360
97.8%
: 8
 
2.2%
Connector Punctuation
ValueCountFrequency (%)
_ 104
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1693
38.6%
Common 1622
37.0%
Latin 1069
24.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 103
 
6.1%
외 82
 
4.8%
국 39
 
2.3%
식 38
 
2.2%
가 32
 
1.9%
당 31
 
1.8%
수 29
 
1.7%
어 28
 
1.7%
미 28
 
1.7%
리 25
 
1.5%
Other values (294) 1258
74.3%
Latin
ValueCountFrequency (%)
g 293
27.4%
p 289
27.0%
j 287
26.8%
G 53
 
5.0%
J 46
 
4.3%
P 46
 
4.3%
M 8
 
0.7%
I 7
 
0.7%
f 5
 
0.5%
e 5
 
0.5%
Other values (14) 30
 
2.8%
Common
ValueCountFrequency (%)
. 360
22.2%
1 236
14.5%
2 179
11.0%
0 174
10.7%
_ 104
 
6.4%
5 85
 
5.2%
3 65
 
4.0%
4 64
 
3.9%
58
 
3.6%
6 52
 
3.2%
Other values (7) 245
15.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2691
61.4%
Hangul 1693
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 360
13.4%
g 293
10.9%
p 289
10.7%
j 287
10.7%
1 236
 
8.8%
2 179
 
6.7%
0 174
 
6.5%
_ 104
 
3.9%
5 85
 
3.2%
3 65
 
2.4%
Other values (31) 619
23.0%
Hangul
ValueCountFrequency (%)
부 103
 
6.1%
외 82
 
4.8%
국 39
 
2.3%
식 38
 
2.2%
가 32
 
1.9%
당 31
 
1.8%
수 29
 
1.7%
어 28
 
1.7%
미 28
 
1.7%
리 25
 
1.5%
Other values (294) 1258
74.3%

idx
Real number (ℝ)

MISSING 

Distinct624
Distinct (%)100.0%
Missing8
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean3099.7067
Minimum5
Maximum4649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-16T13:58:30.041146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile89.15
Q11423.25
median4262.5
Q34481.25
95-th percentile4616.85
Maximum4649
Range4644
Interquartile range (IQR)3058

Descriptive statistics

Standard deviation1771.2071
Coefficient of variation (CV)0.57141119
Kurtosis-1.1102724
Mean3099.7067
Median Absolute Deviation (MAD)336
Skewness-0.7964212
Sum1934217
Variance3137174.6
MonotonicityNot monotonic
2024-04-16T13:58:30.170422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4536 1
 
0.2%
4046 1
 
0.2%
4040 1
 
0.2%
4037 1
 
0.2%
4553 1
 
0.2%
4551 1
 
0.2%
4538 1
 
0.2%
4537 1
 
0.2%
4535 1
 
0.2%
4053 1
 
0.2%
Other values (614) 614
97.2%
(Missing) 8
 
1.3%
ValueCountFrequency (%)
5 1
0.2%
6 1
0.2%
11 1
0.2%
22 1
0.2%
25 1
0.2%
29 1
0.2%
30 1
0.2%
31 1
0.2%
33 1
0.2%
35 1
0.2%
ValueCountFrequency (%)
4649 1
0.2%
4648 1
0.2%
4647 1
0.2%
4646 1
0.2%
4645 1
0.2%
4644 1
0.2%
4643 1
0.2%
4642 1
0.2%
4641 1
0.2%
4640 1
0.2%

last_load_dttm
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing8
Missing (%)1.3%
Memory size5.1 KiB
Minimum2021-04-01 05:29:03
Maximum2021-04-01 05:29:03
2024-04-16T13:58:30.270207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:58:30.360404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-16T13:58:18.583664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:58:18.296164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:58:18.718975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:58:18.441593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-16T13:58:30.442621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
cn_cdcnparkng_atidx
cn_cd1.0001.0000.6780.168
cn1.0001.0000.7930.169
parkng_at0.6780.7931.0000.081
idx0.1680.1690.0811.000
2024-04-16T13:58:30.546195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
parkng_atcn
parkng_at1.0000.712
cn0.7121.000
2024-04-16T13:58:30.966861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
cn_cdidxcnparkng_at
cn_cd1.0000.1830.9970.709
idx0.1831.0000.1080.080
cn0.9970.1081.0000.712
parkng_at0.7090.0800.7121.000

Missing values

2024-04-16T13:58:18.870464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-16T13:58:19.137614image/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.
2024-04-16T13:58:19.720379image/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

sjm_nmadrestelcn_cdcnlocale_cdlocaleintrcnparkng_atbsn_timecreat_dtimg_file1img_name1img_file2img_name2idxlast_load_dttm
0명지돼지국밥정점희부산시 강서구 명지오션시티8로6번길 13051-271-4235602음식점155명지동건물 임대료가 없고, 부부가 운영하며 인건비 절약. 금곡축산에서 1등급 고기를 계약공급 받으며, 지역 외국인 근로자에게 월 1회 무료로 고기등 제공하는 봉사실천.Y06:00~23:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=381&amp;fileTy=IMG&amp;fileNo=2명지돼지국밥(내부).jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=381&amp;fileTy=IMG&amp;fileNo=1명지돼지국밥(외부).jpg3812021-04-01 05:29:03
1최가국밥최연순(47009) 부산광역시 사상구 가야대로366번길 43, 2층 (주례동, 뽀끌레까끌레)051-314-3063602음식점202주례동인근 대학교 학생을 상대로 박리다매로 운영N09:00-23:00, 넷째 일요일 휴무20130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=432&amp;fileTy=IMG&amp;fileNo=420170901_145133.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=432&amp;fileTy=IMG&amp;fileNo=320170901_145042.jpg4322021-04-01 05:29:03
2주례칼국수진영화부산시 사상구 가야대로284번길7-6(주례동)051-311-4628602음식점202주례동자가건물에 부부내외가 직접 운영하여 인건비를 절약하고 있고, 직접 담근 깎두기 및 음식맛에 대하여 인근에 입소문이 나있음N11:00-21:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=430&amp;fileTy=IMG&amp;fileNo=3주례칼국수.jpg<NA><NA>4302021-04-01 05:29:03
3진영숯불갈비민숙자부산시 사하구 신산로 177-11 (신평동)051-291-6368602음식점220신평동좋은 고기를 들여와서 비법의 양념을 하여 갈비맛이 일품임. 저소득층이 많아 이윤을 최소화하여 박리다매의 영업원칙. 3년째 현 가격을 유지하고 있음Y11:00~23:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=346&amp;fileTy=IMG&amp;fileNo=2진영숯불갈비2.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=346&amp;fileTy=IMG&amp;fileNo=1진영숯불갈비1.jpg3462021-04-01 05:29:03
4화신반점최순점부산시 사하구 낙동대로 326-1 (괴정동)051-202-5588602음식점211괴정동한자리에서 36년 넘게 중식점을 운영한 주인의 음식맛이 일품이며, 가족경영으로 인건비를 절감하였고 박리다매로 저렴한 가격을 유지하고 있음N11:30-19:3020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=335&amp;fileTy=IMG&amp;fileNo=2화신반점2.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=335&amp;fileTy=IMG&amp;fileNo=1화신반점1.jpg3352021-04-01 05:29:03
5김밥왕국김경수부산시 해운대구 신반송로 194051-544-3200602음식점355반송동타 김밥매장과 차별화된 저렴한 가격으로 영업중. 인근의 많은 학생들을 고객으로 항상 저렴하고 실속있는 메뉴제공에 노력하는 업소.N10:00-21:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=334&amp;fileTy=IMG&amp;fileNo=2김밥왕국_내부.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=334&amp;fileTy=IMG&amp;fileNo=1김밥왕국_외부.jpg3342021-04-01 05:29:03
6반송낙지문상인부산시 해운대구 윗반송로51번길 74051-543-3345602음식점355반송동공기밥 포함된 가격으로 주변에 비해 항상 저렴한 가격으로 승부하려고 노력중인 업소.Y10:00~21:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=333&amp;fileTy=IMG&amp;fileNo=3반송낙지.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=333&amp;fileTy=IMG&amp;fileNo=4반송낙지 메뉴.jpg3332021-04-01 05:29:03
7태광숯불갈비장우경(48019) 부산광역시 해운대구 아랫반송로 51-3 (반송동)051-542-3392602음식점355반송동수년째 같은 가격을 유지하고 있는 업소로 반송지역 특유의 저렴함과 청결한 매장환경유지로 지역내 저렴한 업소로 이정받고 있음N09:00~21:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=332&amp;fileTy=IMG&amp;fileNo=2태광숯불갈비_내부.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=332&amp;fileTy=IMG&amp;fileNo=1태광숯불갈비_외부.jpg3322021-04-01 05:29:03
8정선탕장계현부산시 해운대구 재반로64번길 28051-783-8353604목욕368재송동재송동지역의 한 목욕탕의 가격파괴로 인해 가격경쟁중인 상황. 타지역 대비 매우 저렴한 목욕료로 많은 손님을 끌고 있음.Y06:00~22:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=330&amp;fileTy=IMG&amp;fileNo=2정선탕_내부.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=330&amp;fileTy=IMG&amp;fileNo=1정선탕_외부.jpg3302021-04-01 05:29:03
9원조화명밀면정만조부산시 북구 산성로12번길58(화명동)051-338-2570602음식점187화명동박리다매로 가격을 유지하고 있으며 2년넘게 가격안정을 위해 가격을 올리지 않고 있음N11:00-21:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=328&amp;fileTy=IMG&amp;fileNo=2원조화명밀면_내부.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=328&amp;fileTy=IMG&amp;fileNo=1원조화명밀면_외부.jpg3282021-04-01 05:29:03
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622로뎀국수칼국수성수환(47009) 부산광역시 사상구 주례로27번길 9 (주례동)051-808-1620602음식점202주례동<p>학교 밀집지역에 위치하여 학생들을 상대로 저렴하게 운영</p><p>&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><table width="250" class="__se_tbl_ext" style="width: 188pt; border-collapse: collapse;" border="0" cellspacing="0" cellpadding="0"><colgroup><col width="250" style="width: 188pt; mso-width-source: userset; mso-width-alt: 7111;"><tbody><tr height="53" style="height: 39.75pt; mso-height-source: userset;"><td width="250" height="53" style="border: 0px windowtext; border-image: none; width: 188pt; height: 39.75pt; background-color: transparent;"><font face="맑은 고딕" size="2"> &nbsp;&nbsp;</font></td></tr></tbody></table><p>&nbsp;</p>N09:30~20:00,일요일 휴무20190508042038<NA><NA><NA><NA>45172021-04-01 05:29:03
623문화관최경희(46985) 부산광역시 사상구 학감대로 260 (감전동)051-317-8586602음식점188감전동<p>가격대비 음식이 푸짐하고 요리류는 타 식당에 비해 저렴, </p><p>관공서 주변에 위치하여 직장인들이 많이 이용&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><table width="250" class="__se_tbl_ext" style="width: 188pt; border-collapse: collapse;" border="0" cellspacing="0" cellpadding="0"><colgroup><col width="250" style="width: 188pt; mso-width-source: userset; mso-width-alt: 7111;"><tbody><tr height="53" style="height: 39.75pt; mso-height-source: userset;"><td width="250" height="53" style="border: 0px windowtext; border-image: none; width: 188pt; height: 39.75pt; background-color: transparent;"><font face="맑은 고딕" size="2"> &nbsp;&nbsp;</font></td></tr></tbody></table><p>&nbsp;</p>N11:00~21:00,일요일 휴무20190508041237/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4516&amp;fileTy=IMG&amp;fileNo=18문화관.jpg<NA><NA>45162021-04-01 05:29:03
624송림시골밥상이윤숙(46946) 부산광역시 사상구 삼덕로 57 (덕포동)051-304-1917602음식점192덕포동<p><font face="굴림" size="3"><span style="font-size: 9pt;">도로변에 위치하여 교통편리, 깔끔하고 친절한 서비스로 운영, 지역내 월 1회 무료급식 봉사 실시</span></font></p><p><font face="굴림" size="3"> <font face="굴림" size="3">&nbsp;</font></font></p><table width="95" class="__se_tbl_ext" style="width: 71pt; border-collapse: collapse;" border="0" cellspacing="0" cellpadding="0"><colgroup><col width="95" style="width: 71pt; mso-width-source: userset; mso-width-alt: 2702;"><tbody><tr height="53" style="height: 39.75pt; mso-height-source: userset;"><td width="95" height="53" style="border: 0px windowtext; border-image: none; width: 71pt; height: 39.75pt; background-color: transparent;"><p><font face="맑은 고딕"><font size="2"> &nbsp;</font></font></p><font face="맑은 고딕"><font size="2"><table width="250" style="width: 188pt; border-collapse: collapse;" border="0" cellspacing="0" cellpadding="0"><colgroup><col width="250" style="width: 188pt; mso-width-source: userset; mso-width-alt: 7111;"><tbody><tr height="53" style="height: 39.75pt; mso-height-source: useY10:00~22:00, 둘째,넷째 일요일 휴무20190508034802/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4511&amp;fileTy=IMG&amp;fileNo=1송림시골밥상.jpg<NA><NA>45112021-04-01 05:29:03
625유황돈돼지생오리이대성(48304) 부산광역시 수영구 남천동로108번길 20 (남천동)051-625-6256602음식점260남천2동<p>신선한 재료로 매일 직접 조리한 다양한 밑반찬으로 가격대비 훌륭한 한정식을 제공하며 항상 친절한 서비스로 고정 손님이 많음&nbsp;</p>N12:00~22:0020190425094213<NA><NA><NA><NA>45102021-04-01 05:29:03
626남천식육식당임선옥(48314) 부산광역시 수영구 수영로464번길 10 (남천동)051-623-2446602음식점259남천1동<p>직접 고기를 대량 구입하여 원가를 낮추고 사장님의 손맛이 더해져 맛있으면서 저렴한 점심 한끼를 제공함&nbsp;</p>N10:30~23:0020190425094000<NA><NA><NA><NA>45092021-04-01 05:29:03
627파네토네 제과점윤종철(46945) 부산광역시 사상구 사상로342번길 27 (덕포동)051-304-5232676기타192덕포동<p>관내 아파트 주민들이 많이 이용하며 가족간 운영으로 저렴한 가격으로 판매,</p><p>월1회 지역내 무료빵 봉사활동 참여</p><p>&nbsp;</p><p>&nbsp;</p><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><table class="__se_tbl_ext" width="250" style="width: 188pt; border-collapse: collapse;" border="0" cellspacing="0" cellpadding="0"><colgroup><col width="250" style="width: 188pt; mso-width-source: userset; mso-width-alt: 7111;"><tbody><tr height="53" style="height: 39.75pt; mso-height-source: userset;"><td width="250" height="53" style="border: 0px windowtext; border-image: none; width: 188pt; height: 39.75pt; background-color: transparent;"><font face="맑은 고딕" size="2"> &nbsp;&nbsp;</font></td></tr></tbody></table><p>&nbsp;</p>Y07:30~23:30,휴무없음20190508035951/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4513&amp;fileTy=IMG&amp;fileNo=1파네토네제과점.jpg<NA><NA>45132021-04-01 05:29:03
628보리고개조성현(46945) 부산광역시 사상구 사상로342번길 6 (덕포동)010-0000-0000602음식점192덕포동<p>신선한 식재료 사용, 푸짐한 뷔페식 보리밥으로 인근 공장직원들이 많이 이용</p><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><font face="굴림" size="3"> </font><table width="250" class="__se_tbl_ext" style="width: 188pt; border-collapse: collapse;" border="0" cellspacing="0" cellpadding="0"><colgroup><col width="250" style="width: 188pt; mso-width-source: userset; mso-width-alt: 7111;"><tbody><tr height="53" style="height: 39.75pt; mso-height-source: userset;"><td width="250" height="53" style="border: 0px windowtext; border-image: none; width: 188pt; height: 39.75pt; background-color: transparent;"><font face="맑은 고딕" size="2"><br></font></td></tr></tbody></table><p>&nbsp;</p>N11:00~20:00, 일요일 휴무20190508035452/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4512&amp;fileTy=IMG&amp;fileNo=1보리고개.jpg<NA><NA>45122021-04-01 05:29:03
629담장태익(48956) 부산광역시 중구 중앙대로41번길 12 (중앙동2가)051-241-6999602음식점344중앙동2가<p>&nbsp;</p>Y10:00~22:0020190425020654/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4506&amp;fileTy=IMG&amp;fileNo=7담 사진.png<NA><NA>45062021-04-01 05:29:03
630충만꼬마김밥김승복(47211) 부산광역시 부산진구 동평로405번길 7, 충만꼬마김밥 (양정동)051-581-6667602음식점139양정2동<p>음식의 맛과 저렴한 가격으로 손님들에게 보다나은 음식을 제공함<img alt="18.충만꼬마김밥.jpg" src="/ImagePrint.do?dir=smartEditor&amp;savename=fa303b23aee84516914d4a7c14ac9d66&amp;realname=18.충만꼬마김밥.jpg&amp;fileext=jpg&amp;filetype=image/pjpeg&amp;filesize=4483504"><br style="clear: both;">&nbsp;</p>N09:30-20:0020190424022406/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4505&amp;fileTy=IMG&amp;fileNo=118.충만꼬마김밥.jpg<NA><NA>45052021-04-01 05:29:03
631이가야이나영(47254) 부산광역시 부산진구 새싹로8번길 37, 이가야(죽집) (부전동)051-802-8817602음식점135부전1동<p><img alt="30.이가야.jpg" src="/ImagePrint.do?dir=smartEditor&amp;savename=d311c3f65a79414798477e9f834e53cb&amp;realname=30.이가야.jpg&amp;fileext=jpg&amp;filetype=image/pjpeg&amp;filesize=5312466"><br style="clear: both;">&nbsp;</p>N10:00-20:0020190424015210/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4504&amp;fileTy=IMG&amp;fileNo=130.이가야.jpg<NA><NA>45042021-04-01 05:29:03