gimi9 Pandas Profiling

Dataset statistics

Number of variables	27
Number of observations	100
Missing cells	250
Missing cells (%)	9.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	22.3 KiB
Average record size in memory	228.3 B

Variable types

Text	10
Categorical	8
Numeric	8
Unsupported	1

Dataset

Description	Sample
Author	한국문화정보원
URL	https://www.bigdata-culture.kr/bigdata/user/data_market/detail.do?id=c0219436-5dd5-4835-8e4e-5df57582dc9b

Alerts

`lclas` has constant value ""	Constant
`mlsfc` has constant value ""	Constant
`branch_nm` has constant value ""	Constant
`lst_updt_dt` has constant value ""	Constant
`data_orgn` has constant value ""	Constant
`file_name` has constant value ""	Constant
`base_ymd` has constant value ""	Constant
`branch_nm` has 99 (99.0%) missing values	Missing
`sub_nm` has 100 (100.0%) missing values	Missing
`ri_nm` has 51 (51.0%) missing values	Missing
`id` has unique values	Unique
`id_poi` has unique values	Unique
`pnu` has unique values	Unique
`beonji` has unique values	Unique
`rd_cd` has unique values	Unique
`rd_nm` has unique values	Unique
`x` has unique values	Unique
`y` has unique values	Unique
`grid_cd` has unique values	Unique
`sub_nm` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2023-12-10 09:39:47.538887
Analysis finished	2023-12-10 09:39:48.445450
Duration	0.91 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

id
Text

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	1900
Distinct characters	18
Distinct categories	2 ?
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	100 ?
Unique (%)	100.0%

Sample

1st row	KCLDGPO21N000000001
2nd row	KCLDGPO21N000075136
3rd row	KCLDGPO21N000000003
4th row	KCLDGPO21N000000004
5th row	KCLDGPO21N000000005

Value	Count	Frequency (%)
kcldgpo21n000000001	1	1.0%
kcldgpo21n000000063	1	1.0%
kcldgpo21n000000074	1	1.0%
kcldgpo21n000000073	1	1.0%
kcldgpo21n000000072	1	1.0%
kcldgpo21n000000071	1	1.0%
kcldgpo21n000000070	1	1.0%
kcldgpo21n000000069	1	1.0%
kcldgpo21n000000068	1	1.0%
kcldgpo21n000000067	1	1.0%
Other values (90)	90	90.0%

Most occurring characters

Value	Count	Frequency (%)
0	708	37.3%
1	124	6.5%
2	118	6.2%
K	100	5.3%
O	100	5.3%
C	100	5.3%
N	100	5.3%
P	100	5.3%
G	100	5.3%
D	100	5.3%
Other values (8)	250	13.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1100	57.9%
Uppercase Letter	800	42.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	708	64.4%
1	124	11.3%
2	118	10.7%
7	24	2.2%
5	23	2.1%
3	22	2.0%
6	21	1.9%
4	20	1.8%
9	20	1.8%
8	20	1.8%

Uppercase Letter

Value	Count	Frequency (%)
K	100	12.5%
O	100	12.5%
C	100	12.5%
N	100	12.5%
P	100	12.5%
G	100	12.5%
D	100	12.5%
L	100	12.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1100	57.9%
Latin	800	42.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	708	64.4%
1	124	11.3%
2	118	10.7%
7	24	2.2%
5	23	2.1%
3	22	2.0%
6	21	1.9%
4	20	1.8%
9	20	1.8%
8	20	1.8%

Latin

Value	Count	Frequency (%)
K	100	12.5%
O	100	12.5%
C	100	12.5%
N	100	12.5%
P	100	12.5%
G	100	12.5%
D	100	12.5%
L	100	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1900	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	708	37.3%
1	124	6.5%
2	118	6.2%
K	100	5.3%
O	100	5.3%
C	100	5.3%
N	100	5.3%
P	100	5.3%
G	100	5.3%
D	100	5.3%
Other values (8)	250	13.2%

lclas
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

장소	100

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
장소	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
장소	100	100.0%

mlsfc
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

숙박	100

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
숙박	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
숙박	100	100.0%

id_poi
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5944984.3

Minimum	228277
Maximum	22233944
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	228277
5-th percentile	339014.45
Q1	5080050
median	6202961
Q3	7360153.5
95-th percentile	8284684.9
Maximum	22233944
Range	22005667
Interquartile range (IQR)	2280103.5

Descriptive statistics

Standard deviation	3937228.7
Coefficient of variation (CV)	0.66227739
Kurtosis	7.1469996
Mean	5944984.3
Median Absolute Deviation (MAD)	1157076
Skewness	1.6660359
Sum	5.9449843 × 10⁸
Variance	1.550177 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
228277	1	1.0%
6850398	1	1.0%
7359142	1	1.0%
7359063	1	1.0%
7359050	1	1.0%
7349067	1	1.0%
7348997	1	1.0%
7337277	1	1.0%
6986131	1	1.0%
6900116	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
228277	1	1.0%
270764	1	1.0%
277157	1	1.0%
293340	1	1.0%
337598	1	1.0%
339089	1	1.0%
341280	1	1.0%
341448	1	1.0%
342177	1	1.0%
342291	1	1.0%

Value	Count	Frequency (%)
22233944	1	1.0%
22209235	1	1.0%
22206587	1	1.0%
8285007	1	1.0%
8284949	1	1.0%
8284671	1	1.0%
8284662	1	1.0%
8284492	1	1.0%
8284491	1	1.0%
8284103	1	1.0%

poi_nm
Text

Distinct	98
Distinct (%)	98.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	10
Median length	9
Mean length	5.19
Min length	3

Characters and Unicode

Total characters	519
Distinct characters	164
Distinct categories	3 ?
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	96 ?
Unique (%)	96.0%

Sample

1st row	신성모텔
2nd row	어썸호텔
3rd row	킹덤모텔
4th row	유토피아모텔
5th row	세화모텔

Value	Count	Frequency (%)
에쿠스모텔	2	2.0%
스위스모텔	2	2.0%
크라운호텔	1	1.0%
힐파크모텔	1	1.0%
신성모텔	1	1.0%
스위스그랜드모텔	1	1.0%
거제관광호텔	1	1.0%
잠실관광호텔	1	1.0%
제우메스관광호텔	1	1.0%
궁모텔	1	1.0%
Other values (88)	88	88.0%

Most occurring characters

Value	Count	Frequency (%)
텔	61	11.8%
모	48	9.2%
스	33	6.4%
호	17	3.3%
장	17	3.3%
관	15	2.9%
여	13	2.5%
이	8	1.5%
우	7	1.3%
하	7	1.3%
Other values (154)	293	56.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	509	98.1%
Uppercase Letter	9	1.7%
Decimal Number	1	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
텔	61	12.0%
모	48	9.4%
스	33	6.5%
호	17	3.3%
장	17	3.3%
관	15	2.9%
여	13	2.6%
이	8	1.6%
우	7	1.4%
하	7	1.4%
Other values (145)	283	55.6%

Uppercase Letter

Value	Count	Frequency (%)
Q	2	22.2%
U	1	11.1%
W	1	11.1%
E	1	11.1%
J	1	11.1%
P	1	11.1%
I	1	11.1%
Z	1	11.1%

Decimal Number

Value	Count	Frequency (%)
2	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	509	98.1%
Latin	9	1.7%
Common	1	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
텔	61	12.0%
모	48	9.4%
스	33	6.5%
호	17	3.3%
장	17	3.3%
관	15	2.9%
여	13	2.6%
이	8	1.6%
우	7	1.4%
하	7	1.4%
Other values (145)	283	55.6%

Latin

Value	Count	Frequency (%)
Q	2	22.2%
U	1	11.1%
W	1	11.1%
E	1	11.1%
J	1	11.1%
P	1	11.1%
I	1	11.1%
Z	1	11.1%

Common

Value	Count	Frequency (%)
2	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	509	98.1%
ASCII	10	1.9%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
텔	61	12.0%
모	48	9.4%
스	33	6.5%
호	17	3.3%
장	17	3.3%
관	15	2.9%
여	13	2.6%
이	8	1.6%
우	7	1.4%
하	7	1.4%
Other values (145)	283	55.6%

ASCII

Value	Count	Frequency (%)
Q	2	20.0%
U	1	10.0%
2	1	10.0%
W	1	10.0%
E	1	10.0%
J	1	10.0%
P	1	10.0%
I	1	10.0%
Z	1	10.0%

branch_nm
Text

CONSTANT MISSING

Distinct	1
Distinct (%)	100.0%
Missing	99
Missing (%)	99.0%
Memory size	932.0 B

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2
Distinct characters	2
Distinct categories	1 ?
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	1 ?
Unique (%)	100.0%

Sample

1st row	경주

Value	Count	Frequency (%)
경주	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
경	1	50.0%
주	1	50.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
경	1	50.0%
주	1	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
경	1	50.0%
주	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
경	1	50.0%
주	1	50.0%

sub_nm
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	100
Missing (%)	100.0%
Memory size	1.0 KiB

mcate_cd
Real number (ℝ)

Distinct	7
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70195.06

Minimum	70102
Maximum	70306
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	70102
5-th percentile	70102
Q1	70201
median	70201
Q3	70203
95-th percentile	70208.95
Maximum	70306
Range	204
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	41.287076
Coefficient of variation (CV)	0.00058817637
Kurtosis	2.9710089
Mean	70195.06
Median Absolute Deviation (MAD)	1
Skewness	-0.42811104
Sum	7019506
Variance	1704.6226
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
70201	46	46.0%
70202	16	16.0%
70204	14	14.0%
70102	12	12.0%
70203	7	7.0%
70306	4	4.0%
70303	1	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
70102	12	12.0%
70201	46	46.0%
70202	16	16.0%
70203	7	7.0%
70204	14	14.0%
70303	1	1.0%
70306	4	4.0%

Value	Count	Frequency (%)
70306	4	4.0%
70303	1	1.0%
70204	14	14.0%
70203	7	7.0%
70202	16	16.0%
70201	46	46.0%
70102	12	12.0%

mcate_nm
Categorical

Distinct	7
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

모텔	46
여관	16
펜션(관광지)	14
일반호텔	12
여인숙/민박/산장	7
Other values (2)	5

Length

Max length	9
Median length	2
Mean length	3.57
Min length	2

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	모텔
2nd row	일반호텔
3rd row	모텔
4th row	모텔
5th row	모텔

Common Values

Value	Count	Frequency (%)
모텔	46	46.0%
여관	16	16.0%
펜션(관광지)	14	14.0%
일반호텔	12	12.0%
여인숙/민박/산장	7	7.0%
유스호스텔	4	4.0%
한국콘도	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
모텔	46	46.0%
여관	16	16.0%
펜션(관광지	14	14.0%
일반호텔	12	12.0%
여인숙/민박/산장	7	7.0%
유스호스텔	4	4.0%
한국콘도	1	1.0%

pnu
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.0345914 × 10¹⁸

Minimum	1.1110175 × 10¹⁸
Maximum	5.013012 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1.1110175 × 10¹⁸
5-th percentile	1.1372606 × 10¹⁸
Q1	4.1217601 × 10¹⁸
median	4.4132177 × 10¹⁸
Q3	4.7117361 × 10¹⁸
95-th percentile	5.0110123 × 10¹⁸
Maximum	5.013012 × 10¹⁸
Range	3.9019945 × 10¹⁸
Interquartile range (IQR)	5.89976 × 10¹⁷

Descriptive statistics

Standard deviation	1.0875028 × 10¹⁸
Coefficient of variation (CV)	0.26954473
Kurtosis	2.0806286
Mean	4.0345914 × 10¹⁸
Median Absolute Deviation (MAD)	2.9515005 × 10¹⁷
Skewness	-1.749466
Sum	-2.3692323 × 10¹⁸
Variance	1.1826624 × 10³⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4514010900101770012	1	1.0%
4884033024115170014	1	1.0%
4831010900100330030	1	1.0%
1171010100102500009	1	1.0%
2811014700128050003	1	1.0%
4721010100104700077	1	1.0%
4311231022106380000	1	1.0%
4122010100107790012	1	1.0%
4713013600106010008	1	1.0%
4413110100100100001	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111017500102020035	1	1.0%
1117013000102450015	1	1.0%
1121510100101500057	1	1.0%
1121510300100690032	1	1.0%
1123010700107260000	1	1.0%
1138010600100150133	1	1.0%
1147010300105090002	1	1.0%
1150010100102500021	1	1.0%
1171010100102500009	1	1.0%
2617010400108300065	1	1.0%

Value	Count	Frequency (%)
5013012000101610000	1	1.0%
5011033021124710001	1	1.0%
5011025628113810002	1	1.0%
5011025033114930000	1	1.0%
5011013700102920033	1	1.0%
5011012200109280003	1	1.0%
4887031026104800000	1	1.0%
4884033024115170014	1	1.0%
4882040021104340040	1	1.0%
4873038023112770002	1	1.0%

sido_nm
Categorical

Distinct	15
Distinct (%)	15.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

경기도	15
전라남도	15
경상남도	11
서울특별시	9
경상북도	9
Other values (10)	41

Length

Max length	7
Median length	6
Mean length	4.16
Min length	3

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	전라북도
2nd row	인천광역시
3rd row	경기도
4th row	서울특별시
5th row	전라남도

Common Values

Value	Count	Frequency (%)
경기도	15	15.0%
전라남도	15	15.0%
경상남도	11	11.0%
서울특별시	9	9.0%
경상북도	9	9.0%
강원도	8	8.0%
충청남도	8	8.0%
제주특별자치도	6	6.0%
충청북도	5	5.0%
인천광역시	3	3.0%
Other values (5)	11	11.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
경기도	15	15.0%
전라남도	15	15.0%
경상남도	11	11.0%
서울특별시	9	9.0%
경상북도	9	9.0%
강원도	8	8.0%
충청남도	8	8.0%
제주특별자치도	6	6.0%
충청북도	5	5.0%
인천광역시	3	3.0%
Other values (5)	11	11.0%

sgg_nm
Text

Distinct	79
Distinct (%)	79.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	9
Median length	3
Mean length	3.58
Min length	2

Characters and Unicode

Total characters	358
Distinct characters	85
Distinct categories	2 ?
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	64 ?
Unique (%)	64.0%

Sample

1st row	익산시
2nd row	중구
3rd row	안성시
4th row	광진구
5th row	담양군

Value	Count	Frequency (%)
제주시	5	4.4%
창원시	4	3.5%
마산합포구	3	2.6%
중구	3	2.6%
구례군	3	2.6%
고흥군	2	1.8%
청주시	2	1.8%
천안시	2	1.8%
평택시	2	1.8%
문경시	2	1.8%
Other values (78)	86	75.4%

Most occurring characters

Value	Count	Frequency (%)
시	51	14.2%
구	37	10.3%
군	29	8.1%
주	15	4.2%
	14	3.9%
양	12	3.4%
원	10	2.8%
천	9	2.5%
안	9	2.5%
포	8	2.2%
Other values (75)	164	45.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	344	96.1%
Space Separator	14	3.9%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	51	14.8%
구	37	10.8%
군	29	8.4%
주	15	4.4%
양	12	3.5%
원	10	2.9%
천	9	2.6%
안	9	2.6%
포	8	2.3%
산	8	2.3%
Other values (74)	156	45.3%

Space Separator

Value	Count	Frequency (%)
	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	344	96.1%
Common	14	3.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	51	14.8%
구	37	10.8%
군	29	8.4%
주	15	4.4%
양	12	3.5%
원	10	2.9%
천	9	2.6%
안	9	2.6%
포	8	2.3%
산	8	2.3%
Other values (74)	156	45.3%

Common

Value	Count	Frequency (%)
	14	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	344	96.1%
ASCII	14	3.9%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	51	14.8%
구	37	10.8%
군	29	8.4%
주	15	4.4%
양	12	3.5%
원	10	2.9%
천	9	2.6%
안	9	2.6%
포	8	2.3%
산	8	2.3%
Other values (74)	156	45.3%

ASCII

Value	Count	Frequency (%)
	14	100.0%

bemd_nm
Text

Distinct	96
Distinct (%)	96.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	5
Median length	3
Mean length	3.05
Min length	2

Characters and Unicode

Total characters	305
Distinct characters	116
Distinct categories	2 ?
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	92 ?
Unique (%)	92.0%

Sample

1st row	인화동1가
2nd row	항동7가
3rd row	금광면
4th row	구의동
5th row	담양읍

Value	Count	Frequency (%)
북면	2	2.0%
계산동	2	2.0%
도양읍	2	2.0%
산동면	2	2.0%
중곡동	1	1.0%
청량리동	1	1.0%
영주동	1	1.0%
남이면	1	1.0%
서정동	1	1.0%
신평동	1	1.0%
Other values (86)	86	86.0%

Most occurring characters

Value	Count	Frequency (%)
동	56	18.4%
면	32	10.5%
읍	18	5.9%
산	11	3.6%
양	6	2.0%
원	5	1.6%
도	5	1.6%
신	5	1.6%
남	5	1.6%
대	4	1.3%
Other values (106)	158	51.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	302	99.0%
Decimal Number	3	1.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	56	18.5%
면	32	10.6%
읍	18	6.0%
산	11	3.6%
양	6	2.0%
원	5	1.7%
도	5	1.7%
신	5	1.7%
남	5	1.7%
대	4	1.3%
Other values (103)	155	51.3%

Decimal Number

Value	Count	Frequency (%)
1	1	33.3%
7	1	33.3%
2	1	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	302	99.0%
Common	3	1.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	56	18.5%
면	32	10.6%
읍	18	6.0%
산	11	3.6%
양	6	2.0%
원	5	1.7%
도	5	1.7%
신	5	1.7%
남	5	1.7%
대	4	1.3%
Other values (103)	155	51.3%

Common

Value	Count	Frequency (%)
1	1	33.3%
7	1	33.3%
2	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	302	99.0%
ASCII	3	1.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	56	18.5%
면	32	10.6%
읍	18	6.0%
산	11	3.6%
양	6	2.0%
원	5	1.7%
도	5	1.7%
신	5	1.7%
남	5	1.7%
대	4	1.3%
Other values (103)	155	51.3%

ASCII

Value	Count	Frequency (%)
1	1	33.3%
7	1	33.3%
2	1	33.3%

ri_nm
Text

MISSING

Distinct	48
Distinct (%)	98.0%
Missing	51
Missing (%)	51.0%
Memory size	932.0 B

Length

Max length	4
Median length	3
Mean length	2.9591837
Min length	2

Characters and Unicode

Total characters	145
Distinct characters	67
Distinct categories	1 ?
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	47 ?
Unique (%)	95.9%

Sample

1st row	신양복리
2nd row	지침리
3rd row	죽동리
4th row	왕장리
5th row	인월리

Value	Count	Frequency (%)
봉암리	2	4.1%
수남리	1	2.0%
백둔리	1	2.0%
동산리	1	2.0%
희곡리	1	2.0%
나곡리	1	2.0%
외천리	1	2.0%
사동리	1	2.0%
진리	1	2.0%
소학리	1	2.0%
Other values (38)	38	77.6%

Most occurring characters

Value	Count	Frequency (%)
리	49	33.8%
동	6	4.1%
곡	5	3.4%
천	4	2.8%
산	4	2.8%
둔	3	2.1%
평	3	2.1%
내	3	2.1%
봉	2	1.4%
암	2	1.4%
Other values (57)	64	44.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	145	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
리	49	33.8%
동	6	4.1%
곡	5	3.4%
천	4	2.8%
산	4	2.8%
둔	3	2.1%
평	3	2.1%
내	3	2.1%
봉	2	1.4%
암	2	1.4%
Other values (57)	64	44.1%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	145	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
리	49	33.8%
동	6	4.1%
곡	5	3.4%
천	4	2.8%
산	4	2.8%
둔	3	2.1%
평	3	2.1%
내	3	2.1%
봉	2	1.4%
암	2	1.4%
Other values (57)	64	44.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	145	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
리	49	33.8%
동	6	4.1%
곡	5	3.4%
천	4	2.8%
산	4	2.8%
둔	3	2.1%
평	3	2.1%
내	3	2.1%
봉	2	1.4%
암	2	1.4%
Other values (57)	64	44.1%

beonji
Text

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	7
Median length	6
Mean length	4.89
Min length	2

Characters and Unicode

Total characters	489
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	100 ?
Unique (%)	100.0%

Sample

1st row	177-12
2nd row	58-118
3rd row	370-9
4th row	69-32
5th row	64

Value	Count	Frequency (%)
177-12	1	1.0%
150-57	1	1.0%
250-9	1	1.0%
2805-3	1	1.0%
470-77	1	1.0%
638	1	1.0%
779-12	1	1.0%
601-8	1	1.0%
10-1	1	1.0%
686-1	1	1.0%
Other values (90)	90	90.0%

Most occurring characters

Value	Count	Frequency (%)
-	81	16.6%
1	67	13.7%
3	57	11.7%
2	53	10.8%
4	37	7.6%
7	35	7.2%
5	35	7.2%
6	34	7.0%
0	33	6.7%
8	30	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	408	83.4%
Dash Punctuation	81	16.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	67	16.4%
3	57	14.0%
2	53	13.0%
4	37	9.1%
7	35	8.6%
5	35	8.6%
6	34	8.3%
0	33	8.1%
8	30	7.4%
9	27	6.6%

Dash Punctuation

Value	Count	Frequency (%)
-	81	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	489	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	81	16.6%
1	67	13.7%
3	57	11.7%
2	53	10.8%
4	37	7.6%
7	35	7.2%
5	35	7.2%
6	34	7.0%
0	33	6.7%
8	30	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	489	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	81	16.6%
1	67	13.7%
3	57	11.7%
2	53	10.8%
4	37	7.6%
7	35	7.2%
5	35	7.2%
6	34	7.0%
0	33	6.7%
8	30	6.1%

badm_cd
Real number (ℝ)

Distinct	99
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.0345934 × 10⁹

Minimum	1.1110175 × 10⁹
Maximum	5.013012 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1.1110175 × 10⁹
5-th percentile	1.1372606 × 10⁹
Q1	4.1217601 × 10⁹
median	4.4132177 × 10⁹
Q3	4.7117361 × 10⁹
95-th percentile	5.0110123 × 10⁹
Maximum	5.013012 × 10⁹
Range	3.9019945 × 10⁹
Interquartile range (IQR)	5.89976 × 10⁸

Descriptive statistics

Standard deviation	1.0875043 × 10⁹
Coefficient of variation (CV)	0.26954496
Kurtosis	2.0806173
Mean	4.0345934 × 10⁹
Median Absolute Deviation (MAD)	2.9515005 × 10⁸
Skewness	-1.7494617
Sum	4.0345934 × 10¹¹
Variance	1.1826656 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4677025324	2	2.0%
4514010900	1	1.0%
4122025625	1	1.0%
4831010900	1	1.0%
1171010100	1	1.0%
2811014700	1	1.0%
4721010100	1	1.0%
4311231022	1	1.0%
4122010100	1	1.0%
4713013600	1	1.0%
Other values (89)	89	89.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111017500	1	1.0%
1117013000	1	1.0%
1121510100	1	1.0%
1121510300	1	1.0%
1123010700	1	1.0%
1138010600	1	1.0%
1147010300	1	1.0%
1150010100	1	1.0%
1171010100	1	1.0%
2617010400	1	1.0%

Value	Count	Frequency (%)
5013012000	1	1.0%
5011033021	1	1.0%
5011025628	1	1.0%
5011025033	1	1.0%
5011013700	1	1.0%
5011012200	1	1.0%
4887031026	1	1.0%
4884033024	1	1.0%
4882040021	1	1.0%
4873038023	1	1.0%

hadm_cd
Real number (ℝ)

Distinct	97
Distinct (%)	97.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.0346182 × 10⁹

Minimum	1.111071 × 10⁹
Maximum	5.013062 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1.111071 × 10⁹
5-th percentile	1.1373077 × 10⁹
Q1	4.1217842 × 10⁹
median	4.4132382 × 10⁹
Q3	4.7117705 × 10⁹
95-th percentile	5.011025 × 10⁹
Maximum	5.013062 × 10⁹
Range	3.901991 × 10⁹
Interquartile range (IQR)	5.8998628 × 10⁸

Descriptive statistics

Standard deviation	1.0874915 × 10⁹
Coefficient of variation (CV)	0.26954012
Kurtosis	2.0806403
Mean	4.0346182 × 10⁹
Median Absolute Deviation (MAD)	2.95146 × 10⁸
Skewness	-1.7494653
Sum	4.0346182 × 10¹¹
Variance	1.1826377 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3020053000	2	2.0%
4673037000	2	2.0%
4677025300	2	2.0%
4514056000	1	1.0%
1123070500	1	1.0%
2811062800	1	1.0%
4721056000	1	1.0%
4311231000	1	1.0%
4122052000	1	1.0%
4713066000	1	1.0%
Other values (87)	87	87.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111071000	1	1.0%
1117066000	1	1.0%
1121575000	1	1.0%
1121586000	1	1.0%
1123070500	1	1.0%
1138057000	1	1.0%
1147057000	1	1.0%
1150051000	1	1.0%
1171065000	1	1.0%
2617066000	1	1.0%

Value	Count	Frequency (%)
5013062000	1	1.0%
5011066000	1	1.0%
5011065000	1	1.0%
5011033000	1	1.0%
5011025600	1	1.0%
5011025000	1	1.0%
4887031000	1	1.0%
4884033000	1	1.0%
4882040000	1	1.0%
4873038000	1	1.0%

rd_cd
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.0346088 × 10¹¹

Minimum	1.111041 × 10¹¹
Maximum	5.0130335 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1.111041 × 10¹¹
5-th percentile	1.1372815 × 10¹¹
Q1	4.1217848 × 10¹¹
median	4.413239 × 10¹¹
Q3	4.7117678 × 10¹¹
95-th percentile	5.0110335 × 10¹¹
Maximum	5.0130335 × 10¹¹
Range	3.9019925 × 10¹¹
Interquartile range (IQR)	5.8998303 × 10¹⁰

Descriptive statistics

Standard deviation	1.0874997 × 10¹¹
Coefficient of variation (CV)	0.26954278
Kurtosis	2.0806456
Mean	4.0346088 × 10¹¹
Median Absolute Deviation (MAD)	2.9515176 × 10¹⁰
Skewness	-1.7494688
Sum	4.0346088 × 10¹³
Variance	1.1826556 × 10²²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
451404608042	1	1.0%
488403343027	1	1.0%
483103337005	1	1.0%
117103123007	1	1.0%
281104247403	1	1.0%
472103309052	1	1.0%
431123236067	1	1.0%
412203188111	1	1.0%
471303305021	1	1.0%
441314547055	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
111104100028	1	1.0%
111704106497	1	1.0%
112153104006	1	1.0%
112153104010	1	1.0%
112304115663	1	1.0%
113803100020	1	1.0%
114703114014	1	1.0%
115003115008	1	1.0%
117103123007	1	1.0%
261703127033	1	1.0%

Value	Count	Frequency (%)
501303350128	1	1.0%
501104848495	1	1.0%
501104848460	1	1.0%
501104847285	1	1.0%
501103349242	1	1.0%
501103349083	1	1.0%
488703346021	1	1.0%
488403343027	1	1.0%
488203342019	1	1.0%
487303340014	1	1.0%

rd_nm
Text

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	10
Median length	9
Mean length	4.58
Min length	3

Characters and Unicode

Total characters	458
Distinct characters	137
Distinct categories	2 ?
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	100 ?
Unique (%)	100.0%

Sample

1st row	익산대로2길
2nd row	연안부두로55번길
3rd row	삼흥로
4th row	자양로
5th row	죽녹원로

Value	Count	Frequency (%)
익산대로2길	1	1.0%
긴고랑로	1	1.0%
삼전로	1	1.0%
흰바위로59번길	1	1.0%
원당로	1	1.0%
청남로	1	1.0%
특구로	1	1.0%
보문로	1	1.0%
공설시장1길	1	1.0%
울진북로	1	1.0%
Other values (90)	90	90.0%

Most occurring characters

Value	Count	Frequency (%)
로	71	15.5%
길	52	11.4%
번	20	4.4%
1	16	3.5%
산	11	2.4%
2	10	2.2%
동	10	2.2%
대	9	2.0%
9	8	1.7%
안	7	1.5%
Other values (127)	244	53.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	394	86.0%
Decimal Number	64	14.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	71	18.0%
길	52	13.2%
번	20	5.1%
산	11	2.8%
동	10	2.5%
대	9	2.3%
안	7	1.8%
원	6	1.5%
장	5	1.3%
천	5	1.3%
Other values (117)	198	50.3%

Decimal Number

Value	Count	Frequency (%)
1	16	25.0%
2	10	15.6%
9	8	12.5%
5	7	10.9%
3	7	10.9%
8	4	6.2%
6	4	6.2%
0	3	4.7%
4	3	4.7%
7	2	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	394	86.0%
Common	64	14.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	71	18.0%
길	52	13.2%
번	20	5.1%
산	11	2.8%
동	10	2.5%
대	9	2.3%
안	7	1.8%
원	6	1.5%
장	5	1.3%
천	5	1.3%
Other values (117)	198	50.3%

Common

Value	Count	Frequency (%)
1	16	25.0%
2	10	15.6%
9	8	12.5%
5	7	10.9%
3	7	10.9%
8	4	6.2%
6	4	6.2%
0	3	4.7%
4	3	4.7%
7	2	3.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	394	86.0%
ASCII	64	14.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
로	71	18.0%
길	52	13.2%
번	20	5.1%
산	11	2.8%
동	10	2.5%
대	9	2.3%
안	7	1.8%
원	6	1.5%
장	5	1.3%
천	5	1.3%
Other values (117)	198	50.3%

ASCII

Value	Count	Frequency (%)
1	16	25.0%
2	10	15.6%
9	8	12.5%
5	7	10.9%
3	7	10.9%
8	4	6.2%
6	4	6.2%
0	3	4.7%
4	3	4.7%
7	2	3.1%

bld_num
Text

Distinct	92
Distinct (%)	92.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	7
Median length	6
Mean length	2.98
Min length	1

Characters and Unicode

Total characters	298
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	84 ?
Unique (%)	84.0%

Sample

1st row	42
2nd row	7
3rd row	24
4th row	226
5th row	52-1

Value	Count	Frequency (%)
10	2	2.0%
56	2	2.0%
3	2	2.0%
27	2	2.0%
13	2	2.0%
8	2	2.0%
21	2	2.0%
41	2	2.0%
6-13	1	1.0%
9	1	1.0%
Other values (82)	82	82.0%

Most occurring characters

Value	Count	Frequency (%)
1	54	18.1%
2	35	11.7%
-	32	10.7%
3	28	9.4%
4	26	8.7%
6	26	8.7%
8	24	8.1%
5	23	7.7%
0	19	6.4%
9	16	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	266	89.3%
Dash Punctuation	32	10.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	54	20.3%
2	35	13.2%
3	28	10.5%
4	26	9.8%
6	26	9.8%
8	24	9.0%
5	23	8.6%
0	19	7.1%
9	16	6.0%
7	15	5.6%

Dash Punctuation

Value	Count	Frequency (%)
-	32	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	298	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	54	18.1%
2	35	11.7%
-	32	10.7%
3	28	9.4%
4	26	8.7%
6	26	8.7%
8	24	8.1%
5	23	7.7%
0	19	6.4%
9	16	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	298	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	54	18.1%
2	35	11.7%
-	32	10.7%
3	28	9.4%
4	26	8.7%
6	26	8.7%
8	24	8.1%
5	23	7.7%
0	19	6.4%
9	16	5.4%

x
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	127.5491

Minimum	125.4322
Maximum	129.37082
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	125.4322
5-th percentile	126.39408
Q1	126.91547
median	127.31443
Q3	128.20794
95-th percentile	129.30795
Maximum	129.37082
Range	3.9386194
Interquartile range (IQR)	1.2924764

Descriptive statistics

Standard deviation	0.8956147
Coefficient of variation (CV)	0.0070217247
Kurtosis	-0.5595718
Mean	127.5491
Median Absolute Deviation (MAD)	0.47407772
Skewness	0.49796811
Sum	12754.91
Variance	0.80212569
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
126.948401850435	1	1.0%
128.041155238842	1	1.0%
128.62395429329	1	1.0%
127.088066815014	1	1.0%
126.492870464486	1	1.0%
128.621431409157	1	1.0%
127.429880595792	1	1.0%
127.063881016625	1	1.0%
129.28008461484	1	1.0%
127.149652083394	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
125.432198881767	1	1.0%
126.228862550995	1	1.0%
126.297601416314	1	1.0%
126.35651400172	1	1.0%
126.381992247759	1	1.0%
126.394717151686	1	1.0%
126.420548147118	1	1.0%
126.482701467151	1	1.0%
126.492870464486	1	1.0%
126.495372248883	1	1.0%

Value	Count	Frequency (%)
129.370818253457	1	1.0%
129.367777024027	1	1.0%
129.343785895872	1	1.0%
129.317386773294	1	1.0%
129.309815048018	1	1.0%
129.30785413865	1	1.0%
129.28008461484	1	1.0%
129.161207523413	1	1.0%
129.114490627654	1	1.0%
129.063529204197	1	1.0%

y
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.195716

Minimum	33.273179
Maximum	38.226808
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	33.273179
5-th percentile	33.523846
Q1	35.176158
median	36.428378
Q3	37.32673
95-th percentile	37.807293
Maximum	38.226808
Range	4.9536298
Interquartile range (IQR)	2.1505715

Descriptive statistics

Standard deviation	1.291278
Coefficient of variation (CV)	0.035674887
Kurtosis	-0.82385325
Mean	36.195716
Median Absolute Deviation (MAD)	1.1092952
Skewness	-0.41505235
Sum	3619.5716
Variance	1.667399
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35.9309392258355	1	1.0%
34.8230981882576	1	1.0%
34.8880234986506	1	1.0%
37.5049149080333	1	1.0%
37.4943589938666	1	1.0%
36.8200795957858	1	1.0%
36.5457007983246	1	1.0%
37.0705784855788	1	1.0%
35.8493239378357	1	1.0%
36.8105812949363	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
33.273178694461	1	1.0%
33.3905025455544	1	1.0%
33.4856519653814	1	1.0%
33.4895887338832	1	1.0%
33.5051696752466	1	1.0%
33.524828520821	1	1.0%
34.3179756603085	1	1.0%
34.4955733656851	1	1.0%
34.5267298441694	1	1.0%
34.5277140651151	1	1.0%

Value	Count	Frequency (%)
38.2268084688898	1	1.0%
38.1669676584988	1	1.0%
38.1101994666667	1	1.0%
37.9794865284545	1	1.0%
37.8986371275544	1	1.0%
37.8024853430782	1	1.0%
37.7984634920942	1	1.0%
37.7327763918858	1	1.0%
37.7050113028763	1	1.0%
37.7029237610044	1	1.0%

grid_cd
Text

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	800
Distinct characters	17
Distinct categories	2 ?
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	100 ?
Unique (%)	100.0%

Sample

1st row	다마502706
2nd row	다사204397
3rd row	다바847890
4th row	다사635498
5th row	다마532027

Value	Count	Frequency (%)
다마502706	1	1.0%
다사634512	1	1.0%
다사635451	1	1.0%
다사109443	1	1.0%
마바000696	1	1.0%
다바937386	1	1.0%
다바612969	1	1.0%
마마607628	1	1.0%
다바687681	1	1.0%
마사661045	1	1.0%
Other values (90)	90	90.0%

Most occurring characters

Value	Count	Frequency (%)
4	68	8.5%
6	66	8.2%
7	65	8.1%
9	61	7.6%
0	60	7.5%
1	60	7.5%
2	58	7.2%
8	57	7.1%
다	56	7.0%
5	54	6.8%
Other values (7)	195	24.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	600	75.0%
Other Letter	200	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	68	11.3%
6	66	11.0%
7	65	10.8%
9	61	10.2%
0	60	10.0%
1	60	10.0%
2	58	9.7%
8	57	9.5%
5	54	9.0%
3	51	8.5%

Other Letter

Value	Count	Frequency (%)
다	56	28.0%
라	51	25.5%
사	31	15.5%
마	29	14.5%
바	21	10.5%
나	9	4.5%
아	3	1.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	600	75.0%
Hangul	200	25.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	68	11.3%
6	66	11.0%
7	65	10.8%
9	61	10.2%
0	60	10.0%
1	60	10.0%
2	58	9.7%
8	57	9.5%
5	54	9.0%
3	51	8.5%

Hangul

Value	Count	Frequency (%)
다	56	28.0%
라	51	25.5%
사	31	15.5%
마	29	14.5%
바	21	10.5%
나	9	4.5%
아	3	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	600	75.0%
Hangul	200	25.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	68	11.3%
6	66	11.0%
7	65	10.8%
9	61	10.2%
0	60	10.0%
1	60	10.0%
2	58	9.7%
8	57	9.5%
5	54	9.0%
3	51	8.5%

Hangul

Value	Count	Frequency (%)
다	56	28.0%
라	51	25.5%
사	31	15.5%
마	29	14.5%
바	21	10.5%
나	9	4.5%
아	3	1.5%

lst_updt_dt
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

20210917100801	100

Length

Max length	14
Median length	14
Mean length	14
Min length	14

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20210917100801
2nd row	20210917100801
3rd row	20210917100801
4th row	20210917100801
5th row	20210917100801

Common Values

Value	Count	Frequency (%)
20210917100801	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
20210917100801	100	100.0%

data_orgn
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

KT	100

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
KT	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
kt	100	100.0%

file_name
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

KC_504_DMSTC_MCST_LDGS_2021	100

Length

Max length	27
Median length	27
Mean length	27
Min length	27

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	KC_504_DMSTC_MCST_LDGS_2021
2nd row	KC_504_DMSTC_MCST_LDGS_2021
3rd row	KC_504_DMSTC_MCST_LDGS_2021
4th row	KC_504_DMSTC_MCST_LDGS_2021
5th row	KC_504_DMSTC_MCST_LDGS_2021

Common Values

Value	Count	Frequency (%)
KC_504_DMSTC_MCST_LDGS_2021	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
kc_504_dmstc_mcst_ldgs_2021	100	100.0%

base_ymd
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

20210917	100

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20210917
2nd row	20210917
3rd row	20210917
4th row	20210917
5th row	20210917

Common Values

Value	Count	Frequency (%)
20210917	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
20210917	100	100.0%

First rows
Last rows

	id	lclas	mlsfc	id_poi	poi_nm	branch_nm	sub_nm	mcate_cd	mcate_nm	pnu	sido_nm	sgg_nm	bemd_nm	ri_nm	beonji	badm_cd	hadm_cd	rd_cd	rd_nm	bld_num	x	y	grid_cd	lst_updt_dt	data_orgn	file_name	base_ymd
0	KCLDGPO21N000000001	장소	숙박	228277	신성모텔	<NA>	<NA>	70201	모텔	4514010900101770012	전라북도	익산시	인화동1가	<NA>	177-12	4514010900	4514056000	451404608042	익산대로2길	42	126.948402	35.930939	다마502706	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
1	KCLDGPO21N000075136	장소	숙박	22206587	어썸호텔	<NA>	<NA>	70102	일반호텔	2811011800100580118	인천광역시	중구	항동7가	<NA>	58-118	2811011800	2811052000	281104247188	연안부두로55번길	7	126.600591	37.453453	다사204397	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
2	KCLDGPO21N000000003	장소	숙박	270764	킹덤모텔	<NA>	<NA>	70201	모텔	4155032034103700009	경기도	안성시	금광면	신양복리	370-9	4155032034	4155032000	415503208028	삼흥로	24	127.329127	36.999477	다바847890	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
3	KCLDGPO21N000000004	장소	숙박	277157	유토피아모텔	<NA>	<NA>	70201	모텔	1121510300100690032	서울특별시	광진구	구의동	<NA>	69-32	1121510300	1121586000	112153104010	자양로	226	127.087663	37.546864	다사635498	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
4	KCLDGPO21N000000005	장소	숙박	293340	세화모텔	<NA>	<NA>	70201	모텔	4671025023100640000	전라남도	담양군	담양읍	지침리	64	4671025023	4671025000	467103286015	죽녹원로	52-1	126.985359	35.319473	다마532027	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
5	KCLDGPO21N000000006	장소	숙박	337598	에이스모텔	<NA>	<NA>	70201	모텔	4221011300105130001	강원도	속초시	장사동	<NA>	513-1	4221011300	4221051000	422103223025	중앙로	445	128.585661	38.226808	라아950257	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
6	KCLDGPO21N000000007	장소	숙박	339089	서라벌장여관	<NA>	<NA>	70202	여관	4711310300104010005	경상북도	포항시 북구	남빈동	<NA>	401-5	4711310300	4711352000	471134712712	칠성로51번길	6	129.367777	36.037295	마마682838	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
7	KCLDGPO21N000075137	장소	숙박	22209235	2U모텔	<NA>	<NA>	70201	모텔	4812515800100440019	경상남도	창원시 마산합포구	해운동	<NA>	44-19	4812515800	4812553000	481254787602	월영동9길	3	128.563774	35.180796	라라968877	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
8	KCLDGPO21N000000009	장소	숙박	341280	대성장여관	<NA>	<NA>	70202	여관	4713025931103140005	경상북도	경주시	외동읍	죽동리	314-5	4713025931	4713025900	471303000104	산업로	2585	129.317387	35.741457	마마643509	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
9	KCLDGPO21N000000010	장소	숙박	341448	서울장여관	<NA>	<NA>	70202	여관	4377037031104530012	충청북도	음성군	감곡면	왕장리	453-12	4377037031	4377037000	437704541400	왕장안길	17	127.637389	37.118494	라사122022	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917

	id	lclas	mlsfc	id_poi	poi_nm	branch_nm	sub_nm	mcate_cd	mcate_nm	pnu	sido_nm	sgg_nm	bemd_nm	ri_nm	beonji	badm_cd	hadm_cd	rd_cd	rd_nm	bld_num	x	y	grid_cd	lst_updt_dt	data_orgn	file_name	base_ymd
90	KCLDGPO21N000000091	장소	숙박	8283740	언덕위의하얀집	<NA>	<NA>	70204	펜션(관광지)	4673037034103450000	전라남도	구례군	산동면	위안리	345	4673037034	4673037000	467304664179	상위길	3	127.488506	35.330881	다마989039	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
91	KCLDGPO21N000000092	장소	숙박	8283825	왕실봉민박	<NA>	<NA>	70204	펜션(관광지)	4673033028108360002	전라남도	구례군	토지면	내서리	836-2	4673033028	4673033000	467304664053	남산길	44-6	127.587897	35.244918	라라079943	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
92	KCLDGPO21N000000093	장소	숙박	8283934	코지하우스	<NA>	<NA>	70204	펜션(관광지)	5011025033114930000	제주특별자치도	제주시	한림읍	금능리	1493	5011025033	5011025000	501104847285	금능9길	28	126.228863	33.390503	나나817894	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
93	KCLDGPO21N000000094	장소	숙박	8284103	그린제주우도펜션	<NA>	<NA>	70204	펜션(관광지)	5011033021124710001	제주특별자치도	제주시	우도면	연평리	2471-1	5011033021	5011033000	501104848460	우도해안길	290	126.942165	33.50517	다다481016	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
94	KCLDGPO21N000000095	장소	숙박	8284491	하얀정원	<NA>	<NA>	70204	펜션(관광지)	4613025029103180002	전라남도	여수시	돌산읍	평사리	318-2	4613025029	4613025000	461303282006	계동로	397	127.782206	34.670089	라라258306	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
95	KCLDGPO21N000000096	장소	숙박	8284492	리버사이드힐	<NA>	<NA>	70204	펜션(관광지)	4275038025101590000	강원도	영월군	무릉도원면	두산리	159	4275038025	4275038000	427503219070	도원운학로	1082-10	128.190031	37.298075	라사611223	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
96	KCLDGPO21N000000097	장소	숙박	8284662	산바라기	<NA>	<NA>	70204	펜션(관광지)	4673037035106630004	전라남도	구례군	산동면	탑정리	663-4	4673037035	4673037000	467304664313	탑동1길	45	127.447713	35.309467	다마952015	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
97	KCLDGPO21N000000098	장소	숙박	8284671	솔마루펜션	<NA>	<NA>	70204	펜션(관광지)	4477041028105300001	충청남도	서천군	서면	도둔리	530-1	4477041028	4477041000	447704580808	춘장대길	79-8	126.52073	36.158624	다마119961	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
98	KCLDGPO21N000000099	장소	숙박	8284949	별이보이는펜션	<NA>	<NA>	70204	펜션(관광지)	4482525321100630178	충청남도	태안군	안면읍	승언리	63-178	4482525321	4482525300	448254592164	송림길	3-2	126.356514	36.500347	나바975342	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917
99	KCLDGPO21N000000100	장소	숙박	8285007	낙산민박	<NA>	<NA>	70204	펜션(관광지)	4283025029104340030	강원도	양양군	양양읍	조산리	434-30	4283025029	4283025000	428304505060	동해신묘길	17-12	128.635612	38.110199	라아995128	20210917100801	KT	KC_504_DMSTC_MCST_LDGS_2021	20210917

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

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

Other Letter

Most occurring scripts

Most frequent character per script

Hangul

Most occurring blocks

Most frequent character per block

Hangul

Common Values

Length

Common Values (Plot)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter