Overview

Dataset statistics

Number of variables11
Number of observations235
Missing cells214
Missing cells (%)8.3%
Duplicate rows1
Duplicate rows (%)0.4%
Total size in memory20.8 KiB
Average record size in memory90.6 B

Variable types

Text5
Numeric2
DateTime3
Categorical1

Dataset

Description수원시 모범음식점 지정 현황으로 모범업소명, 소재지주소, 위도, 경도, 전화번호, 지정일자, 최신지정일자, 업태, 대표메뉴 정보를 제공합니다.
Author경기도 수원시
URLhttps://www.data.go.kr/data/3044660/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (0.4%) duplicate rowsDuplicates
업태 is highly imbalanced (56.2%)Imbalance
모범업소명 has 20 (8.5%) missing valuesMissing
소재지도로명주소 has 20 (8.5%) missing valuesMissing
소재지지번주소 has 20 (8.5%) missing valuesMissing
위도 has 20 (8.5%) missing valuesMissing
경도 has 20 (8.5%) missing valuesMissing
전화번호 has 25 (10.6%) missing valuesMissing
지정일자 has 20 (8.5%) missing valuesMissing
최신지정일자 has 28 (11.9%) missing valuesMissing
대표메뉴 has 21 (8.9%) missing valuesMissing
데이터기준일자 has 20 (8.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 04:49:33.585935
Analysis finished2023-12-12 04:49:35.155466
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

모범업소명
Text

MISSING 

Distinct204
Distinct (%)94.9%
Missing20
Missing (%)8.5%
Memory size2.0 KiB
2023-12-12T13:49:35.331786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length5.9813953
Min length2

Characters and Unicode

Total characters1286
Distinct characters314
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)90.7%

Sample

1st row밀방떡 수원직영점
2nd row보영만두
3rd row북수원갈비
4th row착한고기
5th row청담생고기
ValueCountFrequency (%)
광교점 5
 
2.1%
등촌샤브칼국수 3
 
1.2%
백청우칼국수 3
 
1.2%
하누담 2
 
0.8%
영통점 2
 
0.8%
가보정 2
 
0.8%
착한고기 2
 
0.8%
추오정남원추어탕 2
 
0.8%
남원추어탕 2
 
0.8%
송담추어탕 2
 
0.8%
Other values (211) 216
89.6%
2023-12-12T13:49:35.707475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 33
 
2.6%
점 32
 
2.5%
원 29
 
2.3%
탕 27
 
2.1%
26
 
2.0%
리 21
 
1.6%
비 20
 
1.6%
이 19
 
1.5%
고 19
 
1.5%
국 19
 
1.5%
Other values (304) 1041
80.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1215
94.5%
Space Separator 26
 
2.0%
Open Punctuation 11
 
0.9%
Close Punctuation 11
 
0.9%
Decimal Number 11
 
0.9%
Lowercase Letter 6
 
0.5%
Uppercase Letter 5
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 33
 
2.7%
점 32
 
2.6%
원 29
 
2.4%
탕 27
 
2.2%
리 21
 
1.7%
비 20
 
1.6%
이 19
 
1.6%
고 19
 
1.6%
국 19
 
1.6%
어 18
 
1.5%
Other values (283) 978
80.5%
Decimal Number
ValueCountFrequency (%)
0 3
27.3%
2 3
27.3%
4 1
 
9.1%
1 1
 
9.1%
8 1
 
9.1%
6 1
 
9.1%
5 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
a 1
16.7%
r 1
16.7%
s 1
16.7%
h 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
F 1
20.0%
S 1
20.0%
P 1
20.0%
I 1
20.0%
Z 1
20.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1215
94.5%
Common 60
 
4.7%
Latin 11
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 33
 
2.7%
점 32
 
2.6%
원 29
 
2.4%
탕 27
 
2.2%
리 21
 
1.7%
비 20
 
1.6%
이 19
 
1.6%
고 19
 
1.6%
국 19
 
1.6%
어 18
 
1.5%
Other values (283) 978
80.5%
Common
ValueCountFrequency (%)
26
43.3%
( 11
18.3%
) 11
18.3%
0 3
 
5.0%
2 3
 
5.0%
4 1
 
1.7%
1 1
 
1.7%
8 1
 
1.7%
6 1
 
1.7%
& 1
 
1.7%
Latin
ValueCountFrequency (%)
e 2
18.2%
F 1
9.1%
S 1
9.1%
a 1
9.1%
r 1
9.1%
s 1
9.1%
h 1
9.1%
P 1
9.1%
I 1
9.1%
Z 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1214
94.4%
ASCII 71
 
5.5%
Compat Jamo 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 33
 
2.7%
점 32
 
2.6%
원 29
 
2.4%
탕 27
 
2.2%
리 21
 
1.7%
비 20
 
1.6%
이 19
 
1.6%
고 19
 
1.6%
국 19
 
1.6%
어 18
 
1.5%
Other values (282) 977
80.5%
ASCII
ValueCountFrequency (%)
26
36.6%
( 11
15.5%
) 11
15.5%
0 3
 
4.2%
2 3
 
4.2%
e 2
 
2.8%
4 1
 
1.4%
1 1
 
1.4%
F 1
 
1.4%
S 1
 
1.4%
Other values (11) 11
15.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct214
Distinct (%)99.5%
Missing20
Missing (%)8.5%
Memory size2.0 KiB
2023-12-12T13:49:35.988774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length45
Mean length32.148837
Min length22

Characters and Unicode

Total characters6912
Distinct characters194
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)99.1%

Sample

1st row경기도 수원시 장안구 화산로 127 1층 (천천동)
2nd row경기도 수원시 장안구 화산로233번길 30 (율전동)
3rd row경기도 수원시 장안구 영화로26번길 9 (영화동)
4th row경기도 수원시 장안구 정자천로173번길 11-6 201호 (정자동 세경프라자)
5th row경기도 수원시 장안구 광교산로 18 (영화동)
ValueCountFrequency (%)
경기도 215
 
14.8%
수원시 215
 
14.8%
장안구 60
 
4.1%
영통구 59
 
4.1%
권선구 48
 
3.3%
팔달구 48
 
3.3%
1층 27
 
1.9%
인계동 22
 
1.5%
2층 20
 
1.4%
영통동 19
 
1.3%
Other values (451) 723
49.7%
2023-12-12T13:49:36.434869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1241
 
18.0%
1 310
 
4.5%
수 254
 
3.7%
원 249
 
3.6%
경 230
 
3.3%
로 224
 
3.2%
동 223
 
3.2%
구 221
 
3.2%
) 217
 
3.1%
2 217
 
3.1%
Other values (184) 3526
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3900
56.4%
Space Separator 1241
 
18.0%
Decimal Number 1206
 
17.4%
Close Punctuation 217
 
3.1%
Open Punctuation 217
 
3.1%
Dash Punctuation 69
 
1.0%
Other Punctuation 50
 
0.7%
Uppercase Letter 5
 
0.1%
Math Symbol 5
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 254
 
6.5%
원 249
 
6.4%
경 230
 
5.9%
로 224
 
5.7%
동 223
 
5.7%
구 221
 
5.7%
도 215
 
5.5%
시 215
 
5.5%
기 215
 
5.5%
영 115
 
2.9%
Other values (163) 1739
44.6%
Decimal Number
ValueCountFrequency (%)
1 310
25.7%
2 217
18.0%
0 117
 
9.7%
3 110
 
9.1%
4 96
 
8.0%
5 80
 
6.6%
6 75
 
6.2%
7 73
 
6.1%
8 67
 
5.6%
9 61
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
80.0%
C 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
∥ 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
1241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 217
100.0%
Open Punctuation
ValueCountFrequency (%)
( 217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Other Punctuation
ValueCountFrequency (%)
. 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3900
56.4%
Common 3005
43.5%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 254
 
6.5%
원 249
 
6.4%
경 230
 
5.9%
로 224
 
5.7%
동 223
 
5.7%
구 221
 
5.7%
도 215
 
5.5%
시 215
 
5.5%
기 215
 
5.5%
영 115
 
2.9%
Other values (163) 1739
44.6%
Common
ValueCountFrequency (%)
1241
41.3%
1 310
 
10.3%
) 217
 
7.2%
2 217
 
7.2%
( 217
 
7.2%
0 117
 
3.9%
3 110
 
3.7%
4 96
 
3.2%
5 80
 
2.7%
6 75
 
2.5%
Other values (7) 325
 
10.8%
Latin
ValueCountFrequency (%)
B 4
57.1%
b 1
 
14.3%
c 1
 
14.3%
C 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3900
56.4%
ASCII 3011
43.6%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1241
41.2%
1 310
 
10.3%
) 217
 
7.2%
2 217
 
7.2%
( 217
 
7.2%
0 117
 
3.9%
3 110
 
3.7%
4 96
 
3.2%
5 80
 
2.7%
6 75
 
2.5%
Other values (10) 331
 
11.0%
Hangul
ValueCountFrequency (%)
수 254
 
6.5%
원 249
 
6.4%
경 230
 
5.9%
로 224
 
5.7%
동 223
 
5.7%
구 221
 
5.7%
도 215
 
5.5%
시 215
 
5.5%
기 215
 
5.5%
영 115
 
2.9%
Other values (163) 1739
44.6%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

소재지지번주소
Text

MISSING 

Distinct214
Distinct (%)99.5%
Missing20
Missing (%)8.5%
Memory size2.0 KiB
2023-12-12T13:49:36.793913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length27.427907
Min length20

Characters and Unicode

Total characters5897
Distinct characters172
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)99.1%

Sample

1st row경기도 수원시 장안구 천천동 460-20번지 1층
2nd row경기도 수원시 장안구 율전동 292-3번지
3rd row경기도 수원시 장안구 영화동 415-5번지
4th row경기도 수원시 장안구 정자동 876-4번지 세경프라자 201호
5th row경기도 수원시 장안구 영화동 44-5번지
ValueCountFrequency (%)
경기도 215
17.2%
수원시 215
17.2%
장안구 60
 
4.8%
영통구 59
 
4.7%
팔달구 48
 
3.8%
권선구 48
 
3.8%
1층 31
 
2.5%
2층 22
 
1.8%
인계동 22
 
1.8%
영통동 21
 
1.7%
Other values (344) 512
40.9%
2023-12-12T13:49:37.345691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1043
 
17.7%
1 307
 
5.2%
원 232
 
3.9%
지 228
 
3.9%
수 222
 
3.8%
구 220
 
3.7%
경 216
 
3.7%
번 216
 
3.7%
동 216
 
3.7%
도 215
 
3.6%
Other values (162) 2782
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3407
57.8%
Decimal Number 1206
 
20.5%
Space Separator 1043
 
17.7%
Dash Punctuation 195
 
3.3%
Other Punctuation 30
 
0.5%
Math Symbol 5
 
0.1%
Uppercase Letter 5
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 232
 
6.8%
지 228
 
6.7%
수 222
 
6.5%
구 220
 
6.5%
경 216
 
6.3%
번 216
 
6.3%
동 216
 
6.3%
도 215
 
6.3%
시 215
 
6.3%
기 215
 
6.3%
Other values (141) 1212
35.6%
Decimal Number
ValueCountFrequency (%)
1 307
25.5%
2 190
15.8%
0 124
10.3%
5 104
 
8.6%
3 100
 
8.3%
4 86
 
7.1%
6 81
 
6.7%
7 75
 
6.2%
8 71
 
5.9%
9 68
 
5.6%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
∥ 1
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
80.0%
C 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
1043
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 195
100.0%
Other Punctuation
ValueCountFrequency (%)
. 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3407
57.8%
Common 2483
42.1%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 232
 
6.8%
지 228
 
6.7%
수 222
 
6.5%
구 220
 
6.5%
경 216
 
6.3%
번 216
 
6.3%
동 216
 
6.3%
도 215
 
6.3%
시 215
 
6.3%
기 215
 
6.3%
Other values (141) 1212
35.6%
Common
ValueCountFrequency (%)
1043
42.0%
1 307
 
12.4%
- 195
 
7.9%
2 190
 
7.7%
0 124
 
5.0%
5 104
 
4.2%
3 100
 
4.0%
4 86
 
3.5%
6 81
 
3.3%
7 75
 
3.0%
Other values (7) 178
 
7.2%
Latin
ValueCountFrequency (%)
B 4
57.1%
b 1
 
14.3%
c 1
 
14.3%
C 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3407
57.8%
ASCII 2489
42.2%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1043
41.9%
1 307
 
12.3%
- 195
 
7.8%
2 190
 
7.6%
0 124
 
5.0%
5 104
 
4.2%
3 100
 
4.0%
4 86
 
3.5%
6 81
 
3.3%
7 75
 
3.0%
Other values (10) 184
 
7.4%
Hangul
ValueCountFrequency (%)
원 232
 
6.8%
지 228
 
6.7%
수 222
 
6.5%
구 220
 
6.5%
경 216
 
6.3%
번 216
 
6.3%
동 216
 
6.3%
도 215
 
6.3%
시 215
 
6.3%
기 215
 
6.3%
Other values (141) 1212
35.6%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

위도
Real number (ℝ)

MISSING 

Distinct209
Distinct (%)97.2%
Missing20
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean37.274507
Minimum37.231899
Maximum37.326813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T13:49:37.584850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.231899
5-th percentile37.241871
Q137.256525
median37.272037
Q337.293298
95-th percentile37.308179
Maximum37.326813
Range0.09491384
Interquartile range (IQR)0.036772882

Descriptive statistics

Standard deviation0.021440626
Coefficient of variation (CV)0.00057520886
Kurtosis-1.0143812
Mean37.274507
Median Absolute Deviation (MAD)0.018980225
Skewness0.10341657
Sum8014.0189
Variance0.00045970046
MonotonicityNot monotonic
2023-12-12T13:49:37.808983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2523239506 3
 
1.3%
37.3035031723 2
 
0.9%
37.2686170587 2
 
0.9%
37.2744633848 2
 
0.9%
37.2915640479 2
 
0.9%
37.2712779442 1
 
0.4%
37.278539685 1
 
0.4%
37.2671381916 1
 
0.4%
37.2876000885 1
 
0.4%
37.2690591409 1
 
0.4%
Other values (199) 199
84.7%
(Missing) 20
 
8.5%
ValueCountFrequency (%)
37.231899237 1
0.4%
37.233258076 1
0.4%
37.2338793668 1
0.4%
37.2346090621 1
0.4%
37.2363569268 1
0.4%
37.237400632 1
0.4%
37.2384099802 1
0.4%
37.2393999728 1
0.4%
37.2396568905 1
0.4%
37.2418480196 1
0.4%
ValueCountFrequency (%)
37.3268130767 1
0.4%
37.3173944712 1
0.4%
37.3149390687 1
0.4%
37.312634512 1
0.4%
37.3125764618 1
0.4%
37.3122182243 1
0.4%
37.312058394 1
0.4%
37.3119385123 1
0.4%
37.3111898383 1
0.4%
37.3100052886 1
0.4%

경도
Real number (ℝ)

MISSING 

Distinct209
Distinct (%)97.2%
Missing20
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean127.02055
Minimum126.94101
Maximum127.08039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T13:49:38.033892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.94101
5-th percentile126.97242
Q1126.99872
median127.01901
Q3127.04499
95-th percentile127.07554
Maximum127.08039
Range0.13937791
Interquartile range (IQR)0.046271998

Descriptive statistics

Standard deviation0.031557033
Coefficient of variation (CV)0.00024844036
Kurtosis-0.74506382
Mean127.02055
Median Absolute Deviation (MAD)0.023330978
Skewness0.0062811154
Sum27309.419
Variance0.00099584631
MonotonicityNot monotonic
2023-12-12T13:49:38.271976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.076720794 3
 
1.3%
127.0129396699 2
 
0.9%
126.9724372339 2
 
0.9%
126.9716068726 2
 
0.9%
127.0504732206 2
 
0.9%
127.0150083816 1
 
0.4%
127.0163605317 1
 
0.4%
127.0300691085 1
 
0.4%
127.016708682 1
 
0.4%
127.0280495547 1
 
0.4%
Other values (199) 199
84.7%
(Missing) 20
 
8.5%
ValueCountFrequency (%)
126.9410081726 1
0.4%
126.9471557572 1
0.4%
126.9610122766 1
0.4%
126.962431409 1
0.4%
126.9686716393 1
0.4%
126.9705026648 1
0.4%
126.9716068726 2
0.9%
126.9719266181 1
0.4%
126.9722533343 1
0.4%
126.9723723275 1
0.4%
ValueCountFrequency (%)
127.0803860793 1
 
0.4%
127.0793141335 1
 
0.4%
127.077621267 1
 
0.4%
127.0770947074 1
 
0.4%
127.076720794 3
1.3%
127.0766140704 1
 
0.4%
127.0759722705 1
 
0.4%
127.0759249947 1
 
0.4%
127.0756783434 1
 
0.4%
127.0754772456 1
 
0.4%

전화번호
Text

MISSING 

Distinct209
Distinct (%)99.5%
Missing25
Missing (%)10.6%
Memory size2.0 KiB
2023-12-12T13:49:38.630949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.97619
Min length9

Characters and Unicode

Total characters2515
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

Unique208 ?
Unique (%)99.0%

Sample

1st row031-291-3040
2nd row031-227-6700
3rd row031-255-1565
4th row031-247-4788
5th row031-251-3383
ValueCountFrequency (%)
1600-3883 2
 
1.0%
031-278-3383 1
 
0.5%
031-241-7900 1
 
0.5%
031-269-5949 1
 
0.5%
031-269-8686 1
 
0.5%
031-211-8434 1
 
0.5%
031-233-8145 1
 
0.5%
031-242-5088 1
 
0.5%
031-222-1919 1
 
0.5%
031-221-0236 1
 
0.5%
Other values (199) 199
94.8%
2023-12-12T13:49:39.165446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 418
16.6%
2 362
14.4%
0 346
13.8%
1 337
13.4%
3 329
13.1%
5 150
 
6.0%
9 129
 
5.1%
6 126
 
5.0%
4 110
 
4.4%
8 105
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2097
83.4%
Dash Punctuation 418
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 362
17.3%
0 346
16.5%
1 337
16.1%
3 329
15.7%
5 150
7.2%
9 129
 
6.2%
6 126
 
6.0%
4 110
 
5.2%
8 105
 
5.0%
7 103
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 418
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2515
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 418
16.6%
2 362
14.4%
0 346
13.8%
1 337
13.4%
3 329
13.1%
5 150
 
6.0%
9 129
 
5.1%
6 126
 
5.0%
4 110
 
4.4%
8 105
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2515
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 418
16.6%
2 362
14.4%
0 346
13.8%
1 337
13.4%
3 329
13.1%
5 150
 
6.0%
9 129
 
5.1%
6 126
 
5.0%
4 110
 
4.4%
8 105
 
4.2%

지정일자
Date

MISSING 

Distinct79
Distinct (%)36.7%
Missing20
Missing (%)8.5%
Memory size2.0 KiB
Minimum1999-12-28 00:00:00
Maximum2021-10-06 00:00:00
2023-12-12T13:49:39.375391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:49:39.545676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최신지정일자
Date

MISSING 

Distinct7
Distinct (%)3.4%
Missing28
Missing (%)11.9%
Memory size2.0 KiB
Minimum2021-06-17 00:00:00
Maximum2021-10-22 00:00:00
2023-12-12T13:49:39.700414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:49:39.847054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

업태
Categorical

IMBALANCE 

Distinct13
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
한식
170 
<NA>
27 
중국식
 
10
경양식
 
6
일식
 
5
Other values (8)
 
17

Length

Max length15
Median length2
Mean length2.4978723
Min length2

Unique

Unique3 ?
Unique (%)1.3%

Sample

1st row분식
2nd row분식
3rd row식육(숯불구이)
4th row식육(숯불구이)
5th row식육(숯불구이)

Common Values

ValueCountFrequency (%)
한식 170
72.3%
<NA> 27
 
11.5%
중국식 10
 
4.3%
경양식 6
 
2.6%
일식 5
 
2.1%
식육(숯불구이) 4
 
1.7%
기타 4
 
1.7%
분식 2
 
0.9%
복어취급 2
 
0.9%
횟집 2
 
0.9%
Other values (3) 3
 
1.3%

Length

2023-12-12T13:49:40.030757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 170
72.3%
na 27
 
11.5%
중국식 10
 
4.3%
경양식 6
 
2.6%
일식 5
 
2.1%
식육(숯불구이 4
 
1.7%
기타 4
 
1.7%
분식 2
 
0.9%
복어취급 2
 
0.9%
횟집 2
 
0.9%
Other values (3) 3
 
1.3%

대표메뉴
Text

MISSING 

Distinct138
Distinct (%)64.5%
Missing21
Missing (%)8.9%
Memory size2.0 KiB
2023-12-12T13:49:40.399005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length4.2242991
Min length1

Characters and Unicode

Total characters904
Distinct characters164
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)48.1%

Sample

1st row떡볶이
2nd row만두,쫄면
3rd row돼지갈비
4th row등심류
5th row생고기,갈비탕
ValueCountFrequency (%)
추어탕 11
 
4.9%
돼지갈비 8
 
3.6%
갈비 6
 
2.7%
보쌈 6
 
2.7%
칼국수 6
 
2.7%
소고기 6
 
2.7%
자장면 5
 
2.2%
소갈비 5
 
2.2%
삼겹살 4
 
1.8%
부대찌개 4
 
1.8%
Other values (126) 162
72.6%
2023-12-12T13:49:40.943724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 49
 
5.4%
갈 44
 
4.9%
탕 40
 
4.4%
, 39
 
4.3%
고 22
 
2.4%
어 22
 
2.4%
지 22
 
2.4%
기 21
 
2.3%
이 20
 
2.2%
소 20
 
2.2%
Other values (154) 605
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 854
94.5%
Other Punctuation 39
 
4.3%
Space Separator 9
 
1.0%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 49
 
5.7%
갈 44
 
5.2%
탕 40
 
4.7%
고 22
 
2.6%
어 22
 
2.6%
지 22
 
2.6%
기 21
 
2.5%
이 20
 
2.3%
소 20
 
2.3%
장 20
 
2.3%
Other values (150) 574
67.2%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 854
94.5%
Common 50
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 49
 
5.7%
갈 44
 
5.2%
탕 40
 
4.7%
고 22
 
2.6%
어 22
 
2.6%
지 22
 
2.6%
기 21
 
2.5%
이 20
 
2.3%
소 20
 
2.3%
장 20
 
2.3%
Other values (150) 574
67.2%
Common
ValueCountFrequency (%)
, 39
78.0%
9
 
18.0%
( 1
 
2.0%
) 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 854
94.5%
ASCII 50
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 49
 
5.7%
갈 44
 
5.2%
탕 40
 
4.7%
고 22
 
2.6%
어 22
 
2.6%
지 22
 
2.6%
기 21
 
2.5%
이 20
 
2.3%
소 20
 
2.3%
장 20
 
2.3%
Other values (150) 574
67.2%
ASCII
ValueCountFrequency (%)
, 39
78.0%
9
 
18.0%
( 1
 
2.0%
) 1
 
2.0%

데이터기준일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)0.5%
Missing20
Missing (%)8.5%
Memory size2.0 KiB
Minimum2022-03-29 00:00:00
Maximum2022-03-29 00:00:00
2023-12-12T13:49:41.190635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:49:41.322770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:49:34.444430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:49:34.268342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:49:34.527353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:49:34.348808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:49:41.419747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도지정일자최신지정일자업태
위도1.0000.6420.6760.6590.000
경도0.6421.0000.5780.7170.044
지정일자0.6760.5781.0000.9290.824
최신지정일자0.6590.7170.9291.0000.000
업태0.0000.0440.8240.0001.000
2023-12-12T13:49:41.566488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업태
위도1.000-0.4250.000
경도-0.4251.0000.008
업태0.0000.0081.000

Missing values

2023-12-12T13:49:34.658191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:49:34.836527image/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.
2023-12-12T13:49:34.992997image/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

모범업소명소재지도로명주소소재지지번주소위도경도전화번호지정일자최신지정일자업태대표메뉴데이터기준일자
0밀방떡 수원직영점경기도 수원시 장안구 화산로 127 1층 (천천동)경기도 수원시 장안구 천천동 460-20번지 1층37.294683126.980074031-291-30402021-06-17<NA>분식떡볶이2022-03-29
1보영만두경기도 수원시 장안구 화산로233번길 30 (율전동)경기도 수원시 장안구 율전동 292-3번지37.298444126.970503031-227-67002013-07-042021-06-17분식만두,쫄면2022-03-29
2북수원갈비경기도 수원시 장안구 영화로26번길 9 (영화동)경기도 수원시 장안구 영화동 415-5번지37.289653127.00969031-255-15652007-07-022021-06-17식육(숯불구이)돼지갈비2022-03-29
3착한고기경기도 수원시 장안구 정자천로173번길 11-6 201호 (정자동 세경프라자)경기도 수원시 장안구 정자동 876-4번지 세경프라자 201호37.295889126.994282031-247-47882012-07-052021-06-17식육(숯불구이)등심류2022-03-29
4청담생고기경기도 수원시 장안구 광교산로 18 (영화동)경기도 수원시 장안구 영화동 44-5번지37.293476127.020925031-251-33832013-07-042021-06-17식육(숯불구이)생고기,갈비탕2022-03-29
5한마당(생고기전문점)경기도 수원시 장안구 장안로75번길 61 (정자동)경기도 수원시 장안구 정자동 75-3번지37.289863126.999568031-246-02882011-07-082021-06-17식육(숯불구이)생갈비2022-03-29
6씨ㆍ후레쉬(Sea Fresh)경기도 수원시 장안구 금당로 2 2층 (조원동)경기도 수원시 장안구 조원동 728-19번지 2층37.303503127.01294031-242-29202006-06-272021-06-17일식바다가재2022-03-29
7동원성경기도 수원시 장안구 수성로327번길 12-20 (정자동)경기도 수원시 장안구 정자동 16-1번지37.293119127.00864031-246-39302015-07-162021-06-17중국식자장면2022-03-29
8후아닝경기도 수원시 장안구 송원로 39 108호 (송죽동)경기도 수원시 장안구 송죽동 503-16번지 월드타워 108호37.299187127.006762031-243-22882008-06-272021-06-17중국식손짜장2022-03-29
9경복궁경기도 수원시 영통구 반달로 31 (영통동 1009-3 호원빌딩 201호)경기도 수원시 영통구 영통동 1009-3번지 1009-3 호원빌딩 201호37.251077127.075972031-205-77782009-09-302021-06-30한식갈비정식(코스메뉴)2022-03-29
모범업소명소재지도로명주소소재지지번주소위도경도전화번호지정일자최신지정일자업태대표메뉴데이터기준일자
225<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
226<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
227<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
228<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
229<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
230<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
231<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
232<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

모범업소명소재지도로명주소소재지지번주소위도경도전화번호지정일자최신지정일자업태대표메뉴데이터기준일자# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20