gimi9 Pandas Profiling

Dataset statistics

Number of variables	23
Number of observations	10000
Missing cells	35223
Missing cells (%)	15.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.8 MiB
Average record size in memory	192.0 B

Variable types

Categorical	6
Text	11
Numeric	6

Dataset

Description	Sample
Author	주식회사 여기어때컴퍼니
URL	https://www.bigdata-finance.kr/dataset/datasetView.do?datastId=SET0400009

Alerts

`기준년월` has constant value ""	Constant
`대상기준년월` has constant value ""	Constant
`지점명` has 7241 (72.4%) missing values	Missing
`대표전화번호` has 338 (3.4%) missing values	Missing
`식당영업시간값` has 888 (8.9%) missing values	Missing
`휴식시간내용` has 8487 (84.9%) missing values	Missing
`최종주문가능시간값` has 8147 (81.5%) missing values	Missing
`식당휴일내용` has 6955 (69.5%) missing values	Missing
`메인메뉴내용` has 1695 (17.0%) missing values	Missing
`식당평점값` has 1471 (14.7%) missing values	Missing
`식당경도좌표값` is highly skewed (γ1 = -75.01879225)	Skewed
`식당ID` has unique values	Unique

Reproduction

Analysis started	2023-12-10 13:04:47.491305
Analysis finished	2023-12-10 13:04:49.669171
Duration	2.18 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

기준년월
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

202108	10000

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	202108
2nd row	202108
3rd row	202108
4th row	202108
5th row	202108

Common Values

Value	Count	Frequency (%)
202108	10000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
202108	10000	100.0%

식당ID
Text

UNIQUE

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Length

Max length	12
Median length	12
Mean length	11.1136
Min length	10

Characters and Unicode

Total characters	111136
Distinct characters	64
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10000 ?
Unique (%)	100.0%

Sample

1st row	iMRRP69qtkeO
2nd row	9EVyzauilukl
3rd row	-xVh_QZrOMo3
4th row	syba5M_Z_uYd
5th row	4hAcTcdILi

Value	Count	Frequency (%)
imrrp69qtkeo	1	< 0.1%
jlzl5r4hj5uf	1	< 0.1%
m9l8r6dc4o2k	1	< 0.1%
tk_ttl41f9ed	1	< 0.1%
gwdtgra8nthm	1	< 0.1%
f1kn85kbjl	1	< 0.1%
sh-2ajoibn	1	< 0.1%
sqllxl39kuqn	1	< 0.1%
oqxoljaggmik	1	< 0.1%
czufeudpllbm	1	< 0.1%
Other values (9990)	9990	99.9%

Most occurring characters

Value	Count	Frequency (%)
2	1812	1.6%
L	1804	1.6%
8	1791	1.6%
o	1791	1.6%
q	1789	1.6%
i	1785	1.6%
e	1785	1.6%
N	1785	1.6%
s	1781	1.6%
9	1779	1.6%
Other values (54)	93234	83.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	45142	40.6%
Uppercase Letter	45108	40.6%
Decimal Number	17391	15.6%
Dash Punctuation	1773	1.6%
Connector Punctuation	1722	1.5%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
L	1804	4.0%
N	1785	4.0%
R	1777	3.9%
C	1763	3.9%
H	1760	3.9%
E	1760	3.9%
S	1756	3.9%
F	1756	3.9%
V	1756	3.9%
B	1745	3.9%
Other values (16)	27446	60.8%

Lowercase Letter

Value	Count	Frequency (%)
o	1791	4.0%
q	1789	4.0%
i	1785	4.0%
e	1785	4.0%
s	1781	3.9%
v	1778	3.9%
f	1777	3.9%
z	1775	3.9%
u	1764	3.9%
j	1759	3.9%
Other values (16)	27358	60.6%

Decimal Number

Value	Count	Frequency (%)
2	1812	10.4%
8	1791	10.3%
9	1779	10.2%
3	1759	10.1%
4	1736	10.0%
7	1731	10.0%
5	1728	9.9%
1	1715	9.9%
0	1698	9.8%
6	1642	9.4%

Dash Punctuation

Value	Count	Frequency (%)
-	1773	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1722	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	90250	81.2%
Common	20886	18.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
L	1804	2.0%
o	1791	2.0%
q	1789	2.0%
i	1785	2.0%
e	1785	2.0%
N	1785	2.0%
s	1781	2.0%
v	1778	2.0%
R	1777	2.0%
f	1777	2.0%
Other values (42)	72398	80.2%

Common

Value	Count	Frequency (%)
2	1812	8.7%
8	1791	8.6%
9	1779	8.5%
-	1773	8.5%
3	1759	8.4%
4	1736	8.3%
7	1731	8.3%
5	1728	8.3%
_	1722	8.2%
1	1715	8.2%
Other values (2)	3340	16.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	111136	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	1812	1.6%
L	1804	1.6%
8	1791	1.6%
o	1791	1.6%
q	1789	1.6%
i	1785	1.6%
e	1785	1.6%
N	1785	1.6%
s	1781	1.6%
9	1779	1.6%
Other values (54)	93234	83.9%

식당명
Text

Distinct	8551
Distinct (%)	85.5%
Missing	1
Missing (%)	< 0.1%
Memory size	78.3 KiB

Length

Max length	23
Median length	20
Mean length	4.7528753
Min length	1

Characters and Unicode

Total characters	47524
Distinct characters	1116
Distinct categories	9 ?
Distinct scripts	4 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7740 ?
Unique (%)	77.4%

Sample

1st row	미라이
2nd row	시라카와
3rd row	호반
4th row	타쿠미곤
5th row	맛짱조개

Value	Count	Frequency (%)
카페	50	0.5%
휴업중	49	0.5%
커피	23	0.2%
설빙	19	0.2%
스타벅스	17	0.2%
폴바셋	17	0.2%
아비꼬	13	0.1%
아티제	12	0.1%
봉추찜닭	12	0.1%
cafe	11	0.1%
Other values (8823)	10356	97.9%

Most occurring characters

Value	Count	Frequency (%)
스	1450	3.1%
이	1394	2.9%
리	969	2.0%
라	707	1.5%
카	658	1.4%
피	631	1.3%
	604	1.3%
커	575	1.2%
마	485	1.0%
아	472	1.0%
Other values (1106)	39579	83.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	44896	94.5%
Decimal Number	740	1.6%
Lowercase Letter	661	1.4%
Space Separator	604	1.3%
Uppercase Letter	484	1.0%
Open Punctuation	53	0.1%
Close Punctuation	53	0.1%
Other Punctuation	28	0.1%
Dash Punctuation	5	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
스	1450	3.2%
이	1394	3.1%
리	969	2.2%
라	707	1.6%
카	658	1.5%
피	631	1.4%
커	575	1.3%
마	485	1.1%
아	472	1.1%
오	469	1.0%
Other values (1035)	37086	82.6%

Lowercase Letter

Value	Count	Frequency (%)
e	120	18.2%
a	60	9.1%
o	58	8.8%
r	48	7.3%
t	41	6.2%
n	38	5.7%
i	37	5.6%
f	37	5.6%
s	25	3.8%
d	22	3.3%
Other values (16)	175	26.5%

Uppercase Letter

Value	Count	Frequency (%)
B	41	8.5%
T	36	7.4%
C	35	7.2%
P	32	6.6%
A	32	6.6%
E	28	5.8%
O	27	5.6%
S	27	5.6%
F	25	5.2%
M	25	5.2%
Other values (16)	176	36.4%

Decimal Number

Value	Count	Frequency (%)
1	153	20.7%
0	82	11.1%
9	82	11.1%
2	81	10.9%
3	66	8.9%
8	66	8.9%
5	62	8.4%
7	59	8.0%
4	56	7.6%
6	33	4.5%

Other Punctuation

Value	Count	Frequency (%)
&	13	46.4%
.	10	35.7%
,	3	10.7%
?	1	3.6%
/	1	3.6%

Space Separator

Value	Count	Frequency (%)
	604	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	53	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	53	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	44893	94.5%
Common	1483	3.1%
Latin	1145	2.4%
Han	3	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
스	1450	3.2%
이	1394	3.1%
리	969	2.2%
라	707	1.6%
카	658	1.5%
피	631	1.4%
커	575	1.3%
마	485	1.1%
아	472	1.1%
오	469	1.0%
Other values (1032)	37083	82.6%

Latin

Value	Count	Frequency (%)
e	120	10.5%
a	60	5.2%
o	58	5.1%
r	48	4.2%
t	41	3.6%
B	41	3.6%
n	38	3.3%
i	37	3.2%
f	37	3.2%
T	36	3.1%
Other values (42)	629	54.9%

Common

Value	Count	Frequency (%)
	604	40.7%
1	153	10.3%
0	82	5.5%
9	82	5.5%
2	81	5.5%
3	66	4.5%
8	66	4.5%
5	62	4.2%
7	59	4.0%
4	56	3.8%
Other values (9)	172	11.6%

Han

Value	Count	Frequency (%)
吃	1	33.3%
中	1	33.3%
小	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	44890	94.5%
ASCII	2628	5.5%
Compat Jamo	3	< 0.1%
CJK	3	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
스	1450	3.2%
이	1394	3.1%
리	969	2.2%
라	707	1.6%
카	658	1.5%
피	631	1.4%
커	575	1.3%
마	485	1.1%
아	472	1.1%
오	469	1.0%
Other values (1030)	37080	82.6%

ASCII

Value	Count	Frequency (%)
	604	23.0%
1	153	5.8%
e	120	4.6%
0	82	3.1%
9	82	3.1%
2	81	3.1%
3	66	2.5%
8	66	2.5%
5	62	2.4%
a	60	2.3%
Other values (61)	1252	47.6%

Compat Jamo

Value	Count	Frequency (%)
ㅋ	2	66.7%
ㅊ	1	33.3%

CJK

Value	Count	Frequency (%)
吃	1	33.3%
中	1	33.3%
小	1	33.3%

지점명
Text

MISSING

Distinct	902
Distinct (%)	32.7%
Missing	7241
Missing (%)	72.4%
Memory size	78.3 KiB

Length

Max length	17
Median length	16
Mean length	4.3707865
Min length	2

Characters and Unicode

Total characters	12059
Distinct characters	381
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	600 ?
Unique (%)	21.7%

Sample

1st row	서울신라호텔
2nd row	서울신라호텔
3rd row	마포점
4th row	강남역점
5th row	본점

Value	Count	Frequency (%)
본점	284	9.4%
강남점	78	2.6%
현대백화점	61	2.0%
신촌점	56	1.8%
홍대점	54	1.8%
역삼점	48	1.6%
1호점	47	1.6%
광화문점	42	1.4%
2호점	42	1.4%
청담점	40	1.3%
Other values (896)	2278	75.2%

Most occurring characters

Value	Count	Frequency (%)
점	2705	22.4%
본	466	3.9%
대	462	3.8%
	274	2.3%
남	223	1.8%
호	211	1.7%
역	206	1.7%
신	203	1.7%
서	187	1.6%
화	184	1.5%
Other values (371)	6938	57.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	11418	94.7%
Space Separator	274	2.3%
Decimal Number	208	1.7%
Uppercase Letter	155	1.3%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
점	2705	23.7%
본	466	4.1%
대	462	4.0%
남	223	2.0%
호	211	1.8%
역	206	1.8%
신	203	1.8%
서	187	1.6%
화	184	1.6%
강	172	1.5%
Other values (338)	6399	56.0%

Uppercase Letter

Value	Count	Frequency (%)
C	29	18.7%
F	26	16.8%
I	17	11.0%
D	11	7.1%
G	11	7.1%
T	10	6.5%
S	10	6.5%
R	6	3.9%
K	5	3.2%
E	5	3.2%
Other values (12)	25	16.1%

Decimal Number

Value	Count	Frequency (%)
1	78	37.5%
2	64	30.8%
4	26	12.5%
3	20	9.6%
9	11	5.3%
5	5	2.4%
6	3	1.4%
0	1	0.5%

Space Separator

Value	Count	Frequency (%)
	274	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	11418	94.7%
Common	486	4.0%
Latin	155	1.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
점	2705	23.7%
본	466	4.1%
대	462	4.0%
남	223	2.0%
호	211	1.8%
역	206	1.8%
신	203	1.8%
서	187	1.6%
화	184	1.6%
강	172	1.5%
Other values (338)	6399	56.0%

Latin

Value	Count	Frequency (%)
C	29	18.7%
F	26	16.8%
I	17	11.0%
D	11	7.1%
G	11	7.1%
T	10	6.5%
S	10	6.5%
R	6	3.9%
K	5	3.2%
E	5	3.2%
Other values (12)	25	16.1%

Common

Value	Count	Frequency (%)
	274	56.4%
1	78	16.0%
2	64	13.2%
4	26	5.3%
3	20	4.1%
9	11	2.3%
5	5	1.0%
6	3	0.6%
(	2	0.4%
)	2	0.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	11418	94.7%
ASCII	641	5.3%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
점	2705	23.7%
본	466	4.1%
대	462	4.0%
남	223	2.0%
호	211	1.8%
역	206	1.8%
신	203	1.8%
서	187	1.6%
화	184	1.6%
강	172	1.5%
Other values (338)	6399	56.0%

ASCII

Value	Count	Frequency (%)
	274	42.7%
1	78	12.2%
2	64	10.0%
C	29	4.5%
F	26	4.1%
4	26	4.1%
3	20	3.1%
I	17	2.7%
D	11	1.7%
9	11	1.7%
Other values (23)	85	13.3%

대표전화번호
Text

MISSING

Distinct	9650
Distinct (%)	99.9%
Missing	338
Missing (%)	3.4%
Memory size	78.3 KiB

Length

Max length	14
Median length	13
Mean length	11.716725
Min length	9

Characters and Unicode

Total characters	113207
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9640 ?
Unique (%)	99.8%

Sample

1st row	02-540-0934
2nd row	070-7809-4769
3rd row	02-745-6618
4th row	02-595-1935
5th row	02-516-4787

Value	Count	Frequency (%)
1588-8069	3	< 0.1%
02-6388-5500	3	< 0.1%
1522-3232	2	< 0.1%
02-702-7717	2	< 0.1%
051-990-1234	2	< 0.1%
064-735-5587	2	< 0.1%
02-334-9245	2	< 0.1%
070-8860-5287	2	< 0.1%
031-877-5111	2	< 0.1%
033-648-2760	2	< 0.1%
Other values (9640)	9640	99.8%

Most occurring characters

Value	Count	Frequency (%)
-	19301	17.0%
0	18045	15.9%
2	15111	13.3%
3	9251	8.2%
7	8827	7.8%
5	8154	7.2%
1	8047	7.1%
4	7158	6.3%
8	7130	6.3%
6	6352	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	93906	83.0%
Dash Punctuation	19301	17.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	18045	19.2%
2	15111	16.1%
3	9251	9.9%
7	8827	9.4%
5	8154	8.7%
1	8047	8.6%
4	7158	7.6%
8	7130	7.6%
6	6352	6.8%
9	5831	6.2%

Dash Punctuation

Value	Count	Frequency (%)
-	19301	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	113207	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	19301	17.0%
0	18045	15.9%
2	15111	13.3%
3	9251	8.2%
7	8827	7.8%
5	8154	7.2%
1	8047	7.1%
4	7158	6.3%
8	7130	6.3%
6	6352	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	113207	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	19301	17.0%
0	18045	15.9%
2	15111	13.3%
3	9251	8.2%
7	8827	7.8%
5	8154	7.2%
1	8047	7.1%
4	7158	6.3%
8	7130	6.3%
6	6352	5.6%

식당지번주소
Text

Distinct	8658
Distinct (%)	86.6%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Length

Max length	27
Median length	26
Mean length	17.6087
Min length	11

Characters and Unicode

Total characters	176087
Distinct characters	294
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7909 ?
Unique (%)	79.1%

Sample

1st row	서울시 강남구 신사동 557-25
2nd row	서울시 강남구 신사동 664-24
3rd row	서울시 종로구 낙원동 85-7
4th row	서울시 서초구 반포동 107-45
5th row	서울시 강남구 논현동 114-14

Value	Count	Frequency (%)
서울시	7873	19.2%
강남구	1429	3.5%
마포구	1079	2.6%
경기도	930	2.3%
종로구	748	1.8%
용산구	635	1.5%
중구	601	1.5%
서초구	594	1.4%
서대문구	433	1.1%
신사동	409	1.0%
Other values (8400)	26325	64.1%

Most occurring characters

Value	Count	Frequency (%)
	31064	17.6%
동	10472	5.9%
시	9949	5.7%
서	9799	5.6%
구	9486	5.4%
1	8893	5.1%
-	8351	4.7%
울	7882	4.5%
2	5494	3.1%
3	4803	2.7%
Other values (284)	69894	39.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	94869	53.9%
Decimal Number	41803	23.7%
Space Separator	31064	17.6%
Dash Punctuation	8351	4.7%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	10472	11.0%
시	9949	10.5%
서	9799	10.3%
구	9486	10.0%
울	7882	8.3%
남	2377	2.5%
강	1976	2.1%
도	1748	1.8%
포	1714	1.8%
산	1327	1.4%
Other values (272)	38139	40.2%

Decimal Number

Value	Count	Frequency (%)
1	8893	21.3%
2	5494	13.1%
3	4803	11.5%
4	3989	9.5%
5	3838	9.2%
6	3666	8.8%
8	2964	7.1%
7	2871	6.9%
9	2737	6.5%
0	2548	6.1%

Space Separator

Value	Count	Frequency (%)
	31064	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8351	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	94869	53.9%
Common	81218	46.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	10472	11.0%
시	9949	10.5%
서	9799	10.3%
구	9486	10.0%
울	7882	8.3%
남	2377	2.5%
강	1976	2.1%
도	1748	1.8%
포	1714	1.8%
산	1327	1.4%
Other values (272)	38139	40.2%

Common

Value	Count	Frequency (%)
	31064	38.2%
1	8893	10.9%
-	8351	10.3%
2	5494	6.8%
3	4803	5.9%
4	3989	4.9%
5	3838	4.7%
6	3666	4.5%
8	2964	3.6%
7	2871	3.5%
Other values (2)	5285	6.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	94869	53.9%
ASCII	81218	46.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	31064	38.2%
1	8893	10.9%
-	8351	10.3%
2	5494	6.8%
3	4803	5.9%
4	3989	4.9%
5	3838	4.7%
6	3666	4.5%
8	2964	3.6%
7	2871	3.5%
Other values (2)	5285	6.5%

Hangul

Value	Count	Frequency (%)
동	10472	11.0%
시	9949	10.5%
서	9799	10.3%
구	9486	10.0%
울	7882	8.3%
남	2377	2.5%
강	1976	2.1%
도	1748	1.8%
포	1714	1.8%
산	1327	1.4%
Other values (272)	38139	40.2%

식당도로명주소
Text

Distinct	8657
Distinct (%)	86.6%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Length

Max length	33
Median length	30
Mean length	19.2768
Min length	13

Characters and Unicode

Total characters	192768
Distinct characters	419
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7904 ?
Unique (%)	79.0%

Sample

1st row	서울특별시 강남구 논현로153길 24
2nd row	서울특별시 강남구 선릉로161길 7
3rd row	서울특별시 종로구 삼일대로26길 20
4th row	서울특별시 서초구 사평대로18길 10
5th row	서울특별시 강남구 언주로136길 10

Value	Count	Frequency (%)
서울특별시	7870	19.2%
강남구	1429	3.5%
마포구	1079	2.6%
경기도	930	2.3%
종로구	748	1.8%
용산구	635	1.5%
중구	601	1.5%
서초구	594	1.4%
서대문구	433	1.1%
송파구	368	0.9%
Other values (5639)	26378	64.2%

Most occurring characters

Value	Count	Frequency (%)
	31073	16.1%
시	10016	5.2%
로	9912	5.1%
서	9610	5.0%
구	9569	5.0%
별	8105	4.2%
특	8099	4.2%
울	8005	4.2%
1	7678	4.0%
길	6340	3.3%
Other values (409)	84361	43.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	124656	64.7%
Decimal Number	35082	18.2%
Space Separator	31073	16.1%
Dash Punctuation	1953	1.0%
Other Punctuation	4	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	10016	8.0%
로	9912	8.0%
서	9610	7.7%
구	9569	7.7%
별	8105	6.5%
특	8099	6.5%
울	8005	6.4%
길	6340	5.1%
대	2766	2.2%
남	2484	2.0%
Other values (396)	49750	39.9%

Decimal Number

Value	Count	Frequency (%)
1	7678	21.9%
2	5336	15.2%
3	3879	11.1%
4	3393	9.7%
5	3064	8.7%
6	2650	7.6%
7	2579	7.4%
8	2344	6.7%
0	2198	6.3%
9	1961	5.6%

Space Separator

Value	Count	Frequency (%)
	31073	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1953	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	124656	64.7%
Common	68112	35.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	10016	8.0%
로	9912	8.0%
서	9610	7.7%
구	9569	7.7%
별	8105	6.5%
특	8099	6.5%
울	8005	6.4%
길	6340	5.1%
대	2766	2.2%
남	2484	2.0%
Other values (396)	49750	39.9%

Common

Value	Count	Frequency (%)
	31073	45.6%
1	7678	11.3%
2	5336	7.8%
3	3879	5.7%
4	3393	5.0%
5	3064	4.5%
6	2650	3.9%
7	2579	3.8%
8	2344	3.4%
0	2198	3.2%
Other values (3)	3918	5.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	124656	64.7%
ASCII	68112	35.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	31073	45.6%
1	7678	11.3%
2	5336	7.8%
3	3879	5.7%
4	3393	5.0%
5	3064	4.5%
6	2650	3.9%
7	2579	3.8%
8	2344	3.4%
0	2198	3.2%
Other values (3)	3918	5.8%

Hangul

Value	Count	Frequency (%)
시	10016	8.0%
로	9912	8.0%
서	9610	7.7%
구	9569	7.7%
별	8105	6.5%
특	8099	6.5%
울	8005	6.4%
길	6340	5.1%
대	2766	2.2%
남	2484	2.0%
Other values (396)	49750	39.9%

식당위도좌표값
Real number (ℝ)

Distinct	9312
Distinct (%)	93.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.336137

Minimum	33.219565
Maximum	38.375524
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	88.0 KiB

Quantile statistics

Minimum	33.219565
5-th percentile	35.842985
Q1	37.495288
median	37.530048
Q3	37.561312
95-th percentile	37.624954
Maximum	38.375524
Range	5.1559587
Interquartile range (IQR)	0.066023532

Descriptive statistics

Standard deviation	0.73877098
Coefficient of variation (CV)	0.019787022
Kurtosis	16.638411
Mean	37.336137
Median Absolute Deviation (MAD)	0.03238817
Skewness	-4.0398557
Sum	373361.37
Variance	0.54578256
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37.51419392	28	0.3%
37.50555211	16	0.2%
37.5093946	14	0.1%
37.39354833	14	0.1%
37.51148311	13	0.1%
37.51232892	12	0.1%
37.5259168	11	0.1%
37.52719061	11	0.1%
37.50843949	9	0.1%
37.571113	9	0.1%
Other values (9302)	9863	98.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
33.219565	1	< 0.1%
33.2222922	1	< 0.1%
33.2277787	1	< 0.1%
33.22925022	1	< 0.1%
33.23492862	1	< 0.1%
33.23528182	1	< 0.1%
33.23625862	1	< 0.1%
33.23642731	1	< 0.1%
33.2368467	1	< 0.1%
33.2385468	1	< 0.1%

Value	Count	Frequency (%)
38.3755237	1	< 0.1%
38.3752432	1	< 0.1%
38.3727953	1	< 0.1%
38.2962525	1	< 0.1%
38.2796917	1	< 0.1%
38.2663129	1	< 0.1%
38.2605947	1	< 0.1%
38.2598062	1	< 0.1%
38.2538434	1	< 0.1%
38.231334	1	< 0.1%

식당경도좌표값
Real number (ℝ)

SKEWED

Distinct	9330
Distinct (%)	93.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	127.06022

Minimum	37.526981
Maximum	129.38382
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	88.0 KiB

Quantile statistics

Minimum	37.526981
5-th percentile	126.78029
Q1	126.93678
median	127.00037
Q3	127.04867
95-th percentile	127.45474
Maximum	129.38382
Range	91.856836
Interquartile range (IQR)	0.11189346

Descriptive statistics

Standard deviation	0.98425137
Coefficient of variation (CV)	0.0077463379
Kurtosis	6849.5498
Mean	127.06022
Median Absolute Deviation (MAD)	0.0546188
Skewness	-75.018792
Sum	1270602.2
Variance	0.96875076
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
127.1040148	28	0.3%
127.0035662	16	0.2%
126.8902163	14	0.1%
127.0603371	13	0.1%
127.11204583	13	0.1%
127.0976163	12	0.1%
127.02776092	11	0.1%
126.9283122	11	0.1%
127.11376097	9	0.1%
126.97912725	9	0.1%
Other values (9320)	9864	98.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
37.52698138	1	< 0.1%
126.1463532	1	< 0.1%
126.1772852	1	< 0.1%
126.19838952	1	< 0.1%
126.2060462	1	< 0.1%
126.2135414	1	< 0.1%
126.2245018	1	< 0.1%
126.2269198	1	< 0.1%
126.2271923	1	< 0.1%
126.2292944	1	< 0.1%

Value	Count	Frequency (%)
129.38381765	1	< 0.1%
129.3746229	1	< 0.1%
129.3665406	1	< 0.1%
129.363858	1	< 0.1%
129.3383654	1	< 0.1%
129.33824158	1	< 0.1%
129.3369751	1	< 0.1%
129.3200535	1	< 0.1%
129.3189733	1	< 0.1%
129.30828857	1	< 0.1%

1인당가격만원단위구간값
Categorical

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

만원 미만	5677
만원-2만원	2934
2만원-3만원	791
4만원 이상	300
3만원-4만원	248

Length

Max length	7
Median length	5
Mean length	5.5262
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3만원-4만원
2nd row	2만원-3만원
3rd row	2만원-3만원
4th row	4만원 이상
5th row	만원-2만원

Common Values

Value	Count	Frequency (%)
만원 미만	5677	56.8%
만원-2만원	2934	29.3%
2만원-3만원	791	7.9%
4만원 이상	300	3.0%
3만원-4만원	248	2.5%
<NA>	50	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
만원	5677	35.5%
미만	5677	35.5%
만원-2만원	2934	18.4%
2만원-3만원	791	5.0%
4만원	300	1.9%
이상	300	1.9%
3만원-4만원	248	1.6%
na	50	0.3%

음식대분류명
Categorical

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

카페	3645
한식	2923
일식	1286
주점	700
중식	633
Other values (3)	813

Length

Max length	4
Median length	2
Mean length	2.038
Min length	2

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	일식
2nd row	일식
3rd row	한식
4th row	일식
5th row	한식

Common Values

Value	Count	Frequency (%)
카페	3645	36.4%
한식	2923	29.2%
일식	1286	12.9%
주점	700	7.0%
중식	633	6.3%
양식	622	6.2%
세계음식	190	1.9%
뷔페	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
카페	3645	36.4%
한식	2923	29.2%
일식	1286	12.9%
주점	700	7.0%
중식	633	6.3%
양식	622	6.2%
세계음식	190	1.9%
뷔페	1	< 0.1%

음식소분류명
Categorical

Distinct	43
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

카페 / 디저트	3128
고기 요리	833
베이커리	517
기타 한식	414
탕 / 찌개 / 전골	405
Other values (38)	4703

Length

Max length	16
Median length	15
Mean length	8.1967
Min length	2

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	이자카야 / 오뎅 / 꼬치
2nd row	이자카야 / 오뎅 / 꼬치
3rd row	한정식 / 백반 / 정통 한식
4th row	정통 일식 / 일반 일식
5th row	해산물 요리

Common Values

Value	Count	Frequency (%)
카페 / 디저트	3128	31.3%
고기 요리	833	8.3%
베이커리	517	5.2%
기타 한식	414	4.1%
탕 / 찌개 / 전골	405	4.0%
한정식 / 백반 / 정통 한식	345	3.5%
국수 / 면 요리	344	3.4%
정통 중식 / 일반 중식	334	3.3%
회 / 스시	301	3.0%
닭 / 오리 요리	278	2.8%
Other values (33)	3101	31.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	8462	26.7%
카페	3128	9.9%
디저트	3128	9.9%
요리	1829	5.8%
중식	907	2.9%
정통	868	2.7%
한식	838	2.6%
고기	833	2.6%
기타	810	2.6%
일반	649	2.0%
Other values (57)	10272	32.4%

주차구분명
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

주차공간없음	4743
무료주차 가능	2152
유료주차 가능	1408
<NA>	1067
발렛	630

Length

Max length	7
Median length	6
Mean length	5.8906
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	주차공간없음
2nd row	발렛
3rd row	주차공간없음
4th row	발렛
5th row	주차공간없음

Common Values

Value	Count	Frequency (%)
주차공간없음	4743	47.4%
무료주차 가능	2152	21.5%
유료주차 가능	1408	14.1%
<NA>	1067	10.7%
발렛	630	6.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
주차공간없음	4743	35.0%
가능	3560	26.3%
무료주차	2152	15.9%
유료주차	1408	10.4%
na	1067	7.9%
발렛	630	4.6%

식당영업시간값
Text

MISSING

Distinct	2189
Distinct (%)	24.0%
Missing	888
Missing (%)	8.9%
Memory size	78.3 KiB

Length

Max length	74
Median length	13
Mean length	18.711699
Min length	3

Characters and Unicode

Total characters	170501
Distinct characters	33
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1646 ?
Unique (%)	18.1%

Sample

1st row	18:00 - 01:00
2nd row	18:00 - 24:00
3rd row	11:30 - 22:00
4th row	12:00 - 22:00
5th row	17:00 - 04:00

Value	Count	Frequency (%)
	11310	29.6%
22:00	2784	7.3%
11:00	2603	6.8%
11:30	1736	4.5%
21:00	1444	3.8%
12:00	1331	3.5%
23:00	1225	3.2%
10:00	1162	3.0%
월-금	1039	2.7%
24:00	983	2.6%
Other values (154)	12551	32.9%

Most occurring characters

Value	Count	Frequency (%)
0	46814	27.5%
	29168	17.1%
:	26836	15.7%
1	17524	10.3%
-	14413	8.5%
2	14030	8.2%
3	6562	3.8%
,	2214	1.3%
토	1881	1.1%
일	1641	1.0%
Other values (23)	9418	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	90485	53.1%
Space Separator	29168	17.1%
Other Punctuation	29051	17.0%
Dash Punctuation	14413	8.5%
Other Letter	7383	4.3%
Math Symbol	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
토	1881	25.5%
일	1641	22.2%
월	1622	22.0%
금	1506	20.4%
목	393	5.3%
화	207	2.8%
수	50	0.7%
적	25	0.3%
동	25	0.3%
유	25	0.3%
Other values (7)	8	0.1%

Decimal Number

Value	Count	Frequency (%)
0	46814	51.7%
1	17524	19.4%
2	14030	15.5%
3	6562	7.3%
4	1355	1.5%
8	1163	1.3%
9	1023	1.1%
7	1014	1.1%
5	542	0.6%
6	458	0.5%

Other Punctuation

Value	Count	Frequency (%)
:	26836	92.4%
,	2214	7.6%
?	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	29168	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	14413	100.0%

Math Symbol

Value	Count	Frequency (%)
~	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	163118	95.7%
Hangul	7383	4.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
토	1881	25.5%
일	1641	22.2%
월	1622	22.0%
금	1506	20.4%
목	393	5.3%
화	207	2.8%
수	50	0.7%
적	25	0.3%
동	25	0.3%
유	25	0.3%
Other values (7)	8	0.1%

Common

Value	Count	Frequency (%)
0	46814	28.7%
	29168	17.9%
:	26836	16.5%
1	17524	10.7%
-	14413	8.8%
2	14030	8.6%
3	6562	4.0%
,	2214	1.4%
4	1355	0.8%
8	1163	0.7%
Other values (6)	3039	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	163118	95.7%
Hangul	7383	4.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	46814	28.7%
	29168	17.9%
:	26836	16.5%
1	17524	10.7%
-	14413	8.8%
2	14030	8.6%
3	6562	4.0%
,	2214	1.4%
4	1355	0.8%
8	1163	0.7%
Other values (6)	3039	1.9%

Hangul

Value	Count	Frequency (%)
토	1881	25.5%
일	1641	22.2%
월	1622	22.0%
금	1506	20.4%
목	393	5.3%
화	207	2.8%
수	50	0.7%
적	25	0.3%
동	25	0.3%
유	25	0.3%
Other values (7)	8	0.1%

휴식시간내용
Text

MISSING

Distinct	184
Distinct (%)	12.2%
Missing	8487
Missing (%)	84.9%
Memory size	78.3 KiB

Length

Max length	56
Median length	13
Mean length	15.130866
Min length	11

Characters and Unicode

Total characters	22893
Distinct characters	23
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	113 ?
Unique (%)	7.5%

Sample

1st row	15:00 - 18:00
2nd row	15:00 - 17:30
3rd row	월-금: 15:00 - 17:00
4th row	15:00 - 18:00
5th row	15:00 - 16:30

Value	Count	Frequency (%)
	1590	30.6%
15:00	946	18.2%
17:00	904	17.4%
월-금	278	5.4%
17:30	272	5.2%
14:30	242	4.7%
18:00	171	3.3%
15:30	160	3.1%
16:00	159	3.1%
16:30	119	2.3%
Other values (60)	349	6.7%

Most occurring characters

Value	Count	Frequency (%)
0	5512	24.1%
	3677	16.1%
:	3602	15.7%
1	3187	13.9%
-	1985	8.7%
7	1184	5.2%
5	1132	4.9%
3	845	3.7%
4	387	1.7%
금	311	1.4%
Other values (13)	1071	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12736	55.6%
Other Punctuation	3681	16.1%
Space Separator	3677	16.1%
Dash Punctuation	1985	8.7%
Other Letter	813	3.6%
Math Symbol	1	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5512	43.3%
1	3187	25.0%
7	1184	9.3%
5	1132	8.9%
3	845	6.6%
4	387	3.0%
6	282	2.2%
8	181	1.4%
2	16	0.1%
9	10	0.1%

Other Letter

Value	Count	Frequency (%)
금	311	38.3%
월	287	35.3%
토	95	11.7%
일	79	9.7%
화	31	3.8%
목	6	0.7%
수	4	0.5%

Other Punctuation

Value	Count	Frequency (%)
:	3602	97.9%
,	78	2.1%
/	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	3677	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1985	100.0%

Math Symbol

Value	Count	Frequency (%)
~	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22080	96.4%
Hangul	813	3.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5512	25.0%
	3677	16.7%
:	3602	16.3%
1	3187	14.4%
-	1985	9.0%
7	1184	5.4%
5	1132	5.1%
3	845	3.8%
4	387	1.8%
6	282	1.3%
Other values (6)	287	1.3%

Hangul

Value	Count	Frequency (%)
금	311	38.3%
월	287	35.3%
토	95	11.7%
일	79	9.7%
화	31	3.8%
목	6	0.7%
수	4	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22080	96.4%
Hangul	813	3.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5512	25.0%
	3677	16.7%
:	3602	16.3%
1	3187	14.4%
-	1985	9.0%
7	1184	5.4%
5	1132	5.1%
3	845	3.8%
4	387	1.8%
6	282	1.3%
Other values (6)	287	1.3%

Hangul

Value	Count	Frequency (%)
금	311	38.3%
월	287	35.3%
토	95	11.7%
일	79	9.7%
화	31	3.8%
목	6	0.7%
수	4	0.5%

최종주문가능시간값
Text

MISSING

Distinct	235
Distinct (%)	12.7%
Missing	8147
Missing (%)	81.5%
Memory size	78.3 KiB

Length

Max length	38
Median length	5
Mean length	6.722612
Min length	5

Characters and Unicode

Total characters	12457
Distinct characters	23
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	154 ?
Unique (%)	8.3%

Sample

1st row	13:30, 20:30
2nd row	03:00
3rd row	14:00, 21:00
4th row	14:30, 19:55
5th row	13:00, 20:00

Value	Count	Frequency (%)
21:00	509	21.1%
21:30	248	10.3%
20:30	238	9.9%
22:00	159	6.6%
20:00	110	4.6%
22:30	86	3.6%
23:00	86	3.6%
14:30	60	2.5%
월-금	59	2.4%
14:00	53	2.2%
Other values (94)	806	33.4%

Most occurring characters

Value	Count	Frequency (%)
0	3779	30.3%
:	2394	19.2%
2	2141	17.2%
1	1258	10.1%
3	879	7.1%
	566	4.5%
,	263	2.1%
4	249	2.0%
-	203	1.6%
5	127	1.0%
Other values (13)	598	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8546	68.6%
Other Punctuation	2673	21.5%
Space Separator	566	4.5%
Other Letter	466	3.7%
Dash Punctuation	203	1.6%
Math Symbol	3	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3779	44.2%
2	2141	25.1%
1	1258	14.7%
3	879	10.3%
4	249	2.9%
5	127	1.5%
9	67	0.8%
8	28	0.3%
7	13	0.2%
6	5	0.1%

Other Letter

Value	Count	Frequency (%)
토	127	27.3%
일	110	23.6%
월	104	22.3%
금	86	18.5%
목	26	5.6%
화	10	2.1%
수	3	0.6%

Other Punctuation

Value	Count	Frequency (%)
:	2394	89.6%
,	263	9.8%
/	16	0.6%

Space Separator

Value	Count	Frequency (%)
	566	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	203	100.0%

Math Symbol

Value	Count	Frequency (%)
+	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11991	96.3%
Hangul	466	3.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3779	31.5%
:	2394	20.0%
2	2141	17.9%
1	1258	10.5%
3	879	7.3%
	566	4.7%
,	263	2.2%
4	249	2.1%
-	203	1.7%
5	127	1.1%
Other values (6)	132	1.1%

Hangul

Value	Count	Frequency (%)
토	127	27.3%
일	110	23.6%
월	104	22.3%
금	86	18.5%
목	26	5.6%
화	10	2.1%
수	3	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11991	96.3%
Hangul	466	3.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3779	31.5%
:	2394	20.0%
2	2141	17.9%
1	1258	10.5%
3	879	7.3%
	566	4.7%
,	263	2.2%
4	249	2.1%
-	203	1.7%
5	127	1.1%
Other values (6)	132	1.1%

Hangul

Value	Count	Frequency (%)
토	127	27.3%
일	110	23.6%
월	104	22.3%
금	86	18.5%
목	26	5.6%
화	10	2.1%
수	3	0.6%

식당휴일내용
Text

MISSING

Distinct	141
Distinct (%)	4.6%
Missing	6955
Missing (%)	69.5%
Memory size	78.3 KiB

Length

Max length	18
Median length	1
Mean length	2.0003284
Min length	1

Characters and Unicode

Total characters	6091
Distinct characters	37
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	78 ?
Unique (%)	2.6%

Sample

1st row	일
2nd row	일, 둘째/넷째 월
3rd row	일
4th row	일
5th row	일

Value	Count	Frequency (%)
일	1674	43.2%
월	1083	28.0%
화	383	9.9%
수	163	4.2%
토	154	4.0%
첫째/셋째	68	1.8%
둘째/넷째	67	1.7%
첫째	46	1.2%
목	44	1.1%
마지막	35	0.9%
Other values (23)	154	4.0%

Most occurring characters

Value	Count	Frequency (%)
일	1681	27.6%
월	1083	17.8%
	829	13.6%
,	518	8.5%
째	426	7.0%
화	384	6.3%
수	163	2.7%
토	156	2.6%
/	156	2.6%
첫	123	2.0%
Other values (27)	572	9.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	4571	75.0%
Space Separator	829	13.6%
Other Punctuation	675	11.1%
Decimal Number	16	0.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
일	1681	36.8%
월	1083	23.7%
째	426	9.3%
화	384	8.4%
수	163	3.6%
토	156	3.4%
첫	123	2.7%
셋	107	2.3%
둘	98	2.1%
넷	92	2.0%
Other values (18)	258	5.6%

Decimal Number

Value	Count	Frequency (%)
6	11	68.8%
7	2	12.5%
1	1	6.2%
9	1	6.2%
0	1	6.2%

Other Punctuation

Value	Count	Frequency (%)
,	518	76.7%
/	156	23.1%
.	1	0.1%

Space Separator

Value	Count	Frequency (%)
	829	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	4571	75.0%
Common	1520	25.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
일	1681	36.8%
월	1083	23.7%
째	426	9.3%
화	384	8.4%
수	163	3.6%
토	156	3.4%
첫	123	2.7%
셋	107	2.3%
둘	98	2.1%
넷	92	2.0%
Other values (18)	258	5.6%

Common

Value	Count	Frequency (%)
	829	54.5%
,	518	34.1%
/	156	10.3%
6	11	0.7%
7	2	0.1%
1	1	0.1%
9	1	0.1%
.	1	0.1%
0	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	4571	75.0%
ASCII	1520	25.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
일	1681	36.8%
월	1083	23.7%
째	426	9.3%
화	384	8.4%
수	163	3.6%
토	156	3.4%
첫	123	2.7%
셋	107	2.3%
둘	98	2.1%
넷	92	2.0%
Other values (18)	258	5.6%

ASCII

Value	Count	Frequency (%)
	829	54.5%
,	518	34.1%
/	156	10.3%
6	11	0.7%
7	2	0.1%
1	1	0.1%
9	1	0.1%
.	1	0.1%
0	1	0.1%

메인메뉴내용
Text

MISSING

Distinct	318
Distinct (%)	3.8%
Missing	1695
Missing (%)	17.0%
Memory size	78.3 KiB

Length

Max length	18
Median length	16
Mean length	5.9279952
Min length	1

Characters and Unicode

Total characters	49232
Distinct characters	312
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	74 ?
Unique (%)	0.9%

Sample

1st row	이자카야
2nd row	이자카야
3rd row	백반 / 가정식
4th row	정통 일식
5th row	조개찜 전문점

Value	Count	Frequency (%)
전문점	3616	22.1%
카페	2154	13.2%
	1215	7.4%
베이커리	434	2.7%
중식	412	2.5%
음식	324	2.0%
일반	320	2.0%
일식	319	2.0%
기타	310	1.9%
스시	213	1.3%
Other values (331)	7029	43.0%

Most occurring characters

Value	Count	Frequency (%)
	8041	16.3%
전	3935	8.0%
점	3791	7.7%
문	3618	7.3%
카	2408	4.9%
페	2203	4.5%
식	1561	3.2%
이	1257	2.6%
/	1215	2.5%
일	782	1.6%
Other values (302)	20421	41.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	39968	81.2%
Space Separator	8041	16.3%
Other Punctuation	1215	2.5%
Uppercase Letter	4	< 0.1%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
전	3935	9.8%
점	3791	9.5%
문	3618	9.1%
카	2408	6.0%
페	2203	5.5%
식	1561	3.9%
이	1257	3.1%
일	782	2.0%
리	770	1.9%
기	576	1.4%
Other values (296)	19067	47.7%

Uppercase Letter

Value	Count	Frequency (%)
L	2	50.0%
P	2	50.0%

Space Separator

Value	Count	Frequency (%)
	8041	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	1215	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	39968	81.2%
Common	9260	18.8%
Latin	4	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
전	3935	9.8%
점	3791	9.5%
문	3618	9.1%
카	2408	6.0%
페	2203	5.5%
식	1561	3.9%
이	1257	3.1%
일	782	2.0%
리	770	1.9%
기	576	1.4%
Other values (296)	19067	47.7%

Common

Value	Count	Frequency (%)
	8041	86.8%
/	1215	13.1%
(	2	< 0.1%
)	2	< 0.1%

Latin

Value	Count	Frequency (%)
L	2	50.0%
P	2	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	39968	81.2%
ASCII	9264	18.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8041	86.8%
/	1215	13.1%
(	2	< 0.1%
)	2	< 0.1%
L	2	< 0.1%
P	2	< 0.1%

Hangul

Value	Count	Frequency (%)
전	3935	9.8%
점	3791	9.5%
문	3618	9.1%
카	2408	6.0%
페	2203	5.5%
식	1561	3.9%
이	1257	3.1%
일	782	2.0%
리	770	1.9%
기	576	1.4%
Other values (296)	19067	47.7%

식당평점값
Real number (ℝ)

MISSING

Distinct	24
Distinct (%)	0.3%
Missing	1471
Missing (%)	14.7%
Infinite	0
Infinite (%)	0.0%
Mean	3.7885567

Minimum	2.5
Maximum	4.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	88.0 KiB

Quantile statistics

Minimum	2.5
5-th percentile	3.2
Q1	3.5
median	3.8
Q3	4
95-th percentile	4.3
Maximum	4.8
Range	2.3
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.36125419
Coefficient of variation (CV)	0.095354041
Kurtosis	-0.11065191
Mean	3.7885567
Median Absolute Deviation (MAD)	0.2
Skewness	-0.23334586
Sum	32312.6
Variance	0.13050459
Monotonicity	Decreasing

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
3.9	1342	13.4%
4.0	788	7.9%
3.7	776	7.8%
3.8	744	7.4%
3.6	696	7.0%
4.1	619	6.2%
3.4	606	6.1%
3.5	601	6.0%
4.3	483	4.8%
4.2	447	4.5%
Other values (14)	1427	14.3%
(Missing)	1471	14.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.5	4	< 0.1%
2.6	9	0.1%
2.7	20	0.2%
2.8	36	0.4%
2.9	45	0.4%
3.0	87	0.9%
3.1	155	1.6%
3.2	261	2.6%
3.3	385	3.9%
3.4	606	6.1%

Value	Count	Frequency (%)
4.8	6	0.1%
4.7	18	0.2%
4.6	72	0.7%
4.5	86	0.9%
4.4	243	2.4%
4.3	483	4.8%
4.2	447	4.5%
4.1	619	6.2%
4.0	788	7.9%
3.9	1342	13.4%

식당리뷰수
Real number (ℝ)

Distinct	269
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.9657

Minimum	4
Maximum	532
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	88.0 KiB

Quantile statistics

Minimum	4
5-th percentile	6
Q1	10
median	15
Q3	27
95-th percentile	109
Maximum	532
Range	528
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	38.938484
Coefficient of variation (CV)	1.3923658
Kurtosis	23.704469
Mean	27.9657
Median Absolute Deviation (MAD)	6
Skewness	4.1116437
Sum	279657
Variance	1516.2055
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	808	8.1%
10	662	6.6%
11	581	5.8%
8	541	5.4%
12	502	5.0%
13	478	4.8%
7	395	4.0%
14	373	3.7%
15	357	3.6%
6	343	3.4%
Other values (259)	4960	49.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	73	0.7%
5	185	1.8%
6	343	3.4%
7	395	4.0%
8	541	5.4%
9	808	8.1%
10	662	6.6%
11	581	5.8%
12	502	5.0%
13	478	4.8%

Value	Count	Frequency (%)
532	1	< 0.1%
519	1	< 0.1%
441	1	< 0.1%
408	1	< 0.1%
406	1	< 0.1%
386	1	< 0.1%
383	1	< 0.1%
366	1	< 0.1%
365	1	< 0.1%
364	1	< 0.1%

식당조회수
Real number (ℝ)

Distinct	8760
Distinct (%)	87.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26448.245

Minimum	202
Maximum	586475
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	88.0 KiB

Quantile statistics

Minimum	202
5-th percentile	2549.95
Q1	6583.5
median	12576.5
Q3	26372.5
95-th percentile	101856.8
Maximum	586475
Range	586273
Interquartile range (IQR)	19789

Descriptive statistics

Standard deviation	42811.074
Coefficient of variation (CV)	1.6186735
Kurtosis	27.641487
Mean	26448.245
Median Absolute Deviation (MAD)	7490
Skewness	4.4637459
Sum	2.6448245 × 10⁸
Variance	1.832788 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6732	5	0.1%
10057	5	0.1%
4900	5	0.1%
5539	4	< 0.1%
12114	4	< 0.1%
6003	4	< 0.1%
5685	4	< 0.1%
6524	4	< 0.1%
7790	4	< 0.1%
7976	4	< 0.1%
Other values (8750)	9957	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
202	1	< 0.1%
349	1	< 0.1%
355	1	< 0.1%
368	1	< 0.1%
427	1	< 0.1%
448	1	< 0.1%
479	1	< 0.1%
481	1	< 0.1%
484	1	< 0.1%
500	1	< 0.1%

Value	Count	Frequency (%)
586475	1	< 0.1%
570156	1	< 0.1%
467612	1	< 0.1%
463730	1	< 0.1%
455061	1	< 0.1%
413548	1	< 0.1%
408325	1	< 0.1%
404501	1	< 0.1%
403050	1	< 0.1%
399025	1	< 0.1%

식당방문희망건수
Real number (ℝ)

Distinct	2092
Distinct (%)	20.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	580.689

Minimum	0
Maximum	10945
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	88.0 KiB

Quantile statistics

Minimum	0
5-th percentile	33
Q1	103
median	238
Q3	586
95-th percentile	2441.05
Maximum	10945
Range	10945
Interquartile range (IQR)	483

Descriptive statistics

Standard deviation	974.59383
Coefficient of variation (CV)	1.6783404
Kurtosis	19.919379
Mean	580.689
Median Absolute Deviation (MAD)	169.5
Skewness	3.8940446
Sum	5806890
Variance	949833.14
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
71	40	0.4%
76	39	0.4%
42	36	0.4%
103	36	0.4%
34	36	0.4%
67	35	0.4%
46	35	0.4%
47	35	0.4%
60	35	0.4%
77	35	0.4%
Other values (2082)	9638	96.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	< 0.1%
1	2	< 0.1%
2	3	< 0.1%
3	1	< 0.1%
4	4	< 0.1%
5	3	< 0.1%
6	8	0.1%
7	8	0.1%
8	12	0.1%
9	9	0.1%

Value	Count	Frequency (%)
10945	1	< 0.1%
10327	1	< 0.1%
9377	1	< 0.1%
9236	1	< 0.1%
9088	1	< 0.1%
9031	1	< 0.1%
9019	1	< 0.1%
8817	1	< 0.1%
8555	1	< 0.1%
8491	1	< 0.1%

대상기준년월
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

202108	10000

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	202108
2nd row	202108
3rd row	202108
4th row	202108
5th row	202108

Common Values

Value	Count	Frequency (%)
202108	10000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
202108	10000	100.0%

First rows
Last rows

	기준년월	식당ID	식당명	지점명	대표전화번호	식당지번주소	식당도로명주소	식당위도좌표값	식당경도좌표값	1인당가격만원단위구간값	음식대분류명	음식소분류명	주차구분명	식당영업시간값	휴식시간내용	최종주문가능시간값	식당휴일내용	메인메뉴내용	식당평점값	식당리뷰수	식당조회수	식당방문희망건수	대상기준년월
0	202108	iMRRP69qtkeO	미라이	<NA>	02-540-0934	서울시 강남구 신사동 557-25	서울특별시 강남구 논현로153길 24	37.521072	127.026215	3만원-4만원	일식	이자카야 / 오뎅 / 꼬치	주차공간없음	18:00 - 01:00	<NA>	<NA>	일	이자카야	4.8	93	321214	7061	202108
1	202108	9EVyzauilukl	시라카와	<NA>	070-7809-4769	서울시 강남구 신사동 664-24	서울특별시 강남구 선릉로161길 7	37.527015	127.039601	2만원-3만원	일식	이자카야 / 오뎅 / 꼬치	발렛	18:00 - 24:00	<NA>	<NA>	일, 둘째/넷째 월	이자카야	4.8	56	174693	4365	202108
2	202108	-xVh_QZrOMo3	호반	<NA>	02-745-6618	서울시 종로구 낙원동 85-7	서울특별시 종로구 삼일대로26길 20	37.573307	126.989153	2만원-3만원	한식	한정식 / 백반 / 정통 한식	주차공간없음	11:30 - 22:00	<NA>	<NA>	일	백반 / 가정식	4.8	51	135352	3399	202108
3	202108	syba5M_Z_uYd	타쿠미곤	<NA>	02-595-1935	서울시 서초구 반포동 107-45	서울특별시 서초구 사평대로18길 10	37.498448	126.995333	4만원 이상	일식	정통 일식 / 일반 일식	발렛	12:00 - 22:00	15:00 - 18:00	13:30, 20:30	<NA>	정통 일식	4.8	48	147920	2709	202108
4	202108	4hAcTcdILi	맛짱조개	<NA>	02-516-4787	서울시 강남구 논현동 114-14	서울특별시 강남구 언주로136길 10	37.517215	127.03636	만원-2만원	한식	해산물 요리	주차공간없음	17:00 - 04:00	<NA>	03:00	일	조개찜 전문점	4.8	38	66200	2232	202108
5	202108	UifwVuxRDTSo	회현식당	<NA>	02-318-8011	서울시 중구 남창동 205-72	서울특별시 중구 퇴계로2길 9-8	37.557025	126.977696	2만원-3만원	일식	이자카야 / 오뎅 / 꼬치	주차공간없음	11:30 - 21:00	15:00 - 17:30	<NA>	일	이자카야	4.8	20	28554	1248	202108
6	202108	KU-4QO6Yvt	마루심	<NA>	02-592-8998	서울시 서초구 반포동 54-10	서울특별시 서초구 고무래로10길 10	37.501894	127.010465	3만원-4만원	일식	돈부리 / 일본 카레 / 벤토	발렛	11:00 - 22:00	월-금: 15:00 - 17:00	<NA>	<NA>	돈부리 / 덮밥 전문점	4.7	171	367842	6802	202108
7	202108	mfwd78vEtS	파씨오네	<NA>	02-546-7719	서울시 강남구 신사동 646-23	서울특별시 강남구 언주로164길 39	37.525448	127.036736	4만원 이상	양식	프랑스 음식	발렛	12:00 - 22:30	15:00 - 18:00	14:00, 21:00	일	<NA>	4.7	117	413548	7736	202108
8	202108	pWBiN0PLlB	샐러드셀러	<NA>	02-794-0282	서울시 용산구 한남동 684-24	서울특별시 용산구 대사관로5길 28	37.535455	127.000398	만원-2만원	양식	기타 양식	주차공간없음	11:00 - 21:00	15:00 - 16:30	<NA>	일, 월	샐러드 전문점	4.7	105	167549	3970	202108
9	202108	jiQPoOdNDqQc	와라야키 쿠이신보	<NA>	02-546-9215	서울시 강남구 신사동 539	서울특별시 강남구 도산대로15길 6	37.518604	127.02413	2만원-3만원	일식	이자카야 / 오뎅 / 꼬치	발렛	월-목: 17:30 - 24:00, 금-토: 17:30 - 02:00	<NA>	<NA>	일	이자카야	4.7	104	379749	7438	202108

	기준년월	식당ID	식당명	지점명	대표전화번호	식당지번주소	식당도로명주소	식당위도좌표값	식당경도좌표값	1인당가격만원단위구간값	음식대분류명	음식소분류명	주차구분명	식당영업시간값	휴식시간내용	최종주문가능시간값	식당휴일내용	메인메뉴내용	식당평점값	식당리뷰수	식당조회수	식당방문희망건수	대상기준년월
9990	202108	0MR_LFgS_e8M	1997영국집	<NA>	055-286-1997	경상남도 창원시 의창구 용호동 53-5	경상남도 창원시 의창구 외동반림로248번길 25	35.237897	128.682017	만원 미만	카페	카페 / 디저트	주차공간없음	11:00 - 22:50	<NA>	22:00	<NA>	<NA>	<NA>	8	10873	129	202108
9991	202108	bGU4DC8PDfQz	한와담	광화문점	02-730-7905	서울시 중구 태평로1가 61-21	서울특별시 중구 세종대로21길 40	37.568258	126.975727	3만원-4만원	한식	고기 요리	유료주차 가능	11:30 - 23:00	월-금: 15:00 - 17:00	<NA>	<NA>	<NA>	<NA>	8	10853	61	202108
9992	202108	zUEAkEAB6t	김장독	<NA>	02-333-6301	서울시 마포구 동교동 166-11	서울특별시 마포구 양화로18길 9	37.556795	126.924705	만원 미만	한식	한정식 / 백반 / 정통 한식	주차공간없음	10:30 - 01:00	<NA>	<NA>	<NA>	<NA>	<NA>	8	10728	160	202108
9993	202108	v7S4eKS2RaVn	만경식당	<NA>	02-2234-8794	서울시 중구 신당동 253-3	서울특별시 중구 퇴계로73길 13	37.565767	127.014	만원 미만	한식	한정식 / 백반 / 정통 한식	유료주차 가능	월-금: 00:00 - 24:00, 토: 00:00 - 18:00, 일: 17:00 - 24:00	<NA>	<NA>	<NA>	<NA>	<NA>	8	10681	135	202108
9994	202108	4l5srwx5odsU	원가바	<NA>	02-557-3226	서울시 강남구 역삼동 818-7	서울특별시 강남구 강남대로94길 23	37.499767	127.029175	만원-2만원	주점	칵테일 / 와인	주차공간없음	19:00 - 01:00	<NA>	<NA>	일	<NA>	<NA>	8	10655	116	202108
9995	202108	1apBSMp071gr	와인주막차차	여의도점	02-786-3378	서울시 영등포구 여의도동 26	서울특별시 영등포구 국제금융로2길 37	37.522974	126.924223	만원-2만원	주점	칵테일 / 와인	유료주차 가능	11:00 - 01:00	<NA>	<NA>	일	<NA>	<NA>	8	10642	116	202108
9996	202108	sn0k29P5WEbq	라라코스트	<NA>	032-662-3230	경기도 부천시 심곡동 175-6	경기도 부천시 부천로 11	37.485375	126.782382	만원-2만원	양식	이탈리안	유료주차 가능	11:00 - 22:00	<NA>	21:10	<NA>	<NA>	<NA>	8	10635	56	202108
9997	202108	QzJZB-ld7X	르미엘	<NA>	033-747-8617	강원도 원주시 무실동 1831-16	강원도 원주시 봉바위길 13	37.332294	127.932075	만원 미만	카페	카페 / 디저트	무료주차 가능	10:00 - 23:00	<NA>	<NA>	<NA>	<NA>	<NA>	8	10607	98	202108
9998	202108	S0bIQwEZzoVL	꼼주	<NA>	010-5137-1675	서울시 광진구 화양동 9-50	서울특별시 광진구 아차산로29길 44	37.54269	127.069119	만원-2만원	주점	일반 주점	유료주차 가능	17:00 - 02:00	<NA>	01:00	<NA>	<NA>	<NA>	8	10589	92	202108
9999	202108	4yV0Q3sJWm	팟타이	<NA>	070-4176-0562	경기도 안산시 단원구 원곡동 787-15	경기도 안산시 단원구 중앙대로 441	37.328959	126.788515	만원 미만	세계음식	태국 음식	무료주차 가능	월: 10:00 - 21:00, 수-금: 10:00 - 21:00, 토-일: 09:00 - 21:00	<NA>	<NA>	화	<NA>	<NA>	8	10556	85	202108

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Decimal Number

Dash Punctuation

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Han

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Compat Jamo

CJK

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Space Separator

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Dash Punctuation