gimi9 Pandas Profiling

Dataset statistics

Number of variables	82
Number of observations	100
Missing cells	2916
Missing cells (%)	35.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	68.0 KiB
Average record size in memory	696.3 B

Variable types

Text	23
Categorical	22
Numeric	9
Unsupported	28

Dataset

Description	Sample
Author	한국문화정보원
URL	https://www.bigdata-culture.kr/bigdata/user/data_market/detail.do?id=0c92e716-7c71-4463-8e45-73091daf15c7

Alerts

`lclas` has constant value ""	Constant
`mlsfc` 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
`opn_tm_sun` is highly imbalanced (50.8%)	Imbalance
`opn_tm_hol` is highly imbalanced (83.5%)	Imbalance
`clt_cre_rum_aea` has 16 (16.0%) missing values	Missing
`clt_cre_grum_aea` has 16 (16.0%) missing values	Missing
`intnt_booth_aea` has 18 (18.0%) missing values	Missing
`av_booth_aea` has 19 (19.0%) missing values	Missing
`data_booth_aea` has 16 (16.0%) missing values	Missing
`rst_ply_rum_aea` has 16 (16.0%) missing values	Missing
`etc_aea` has 15 (15.0%) missing values	Missing
`playng_spce_eum_aea` has 100 (100.0%) missing values	Missing
`act_spce_tum_aea` has 100 (100.0%) missing values	Missing
`cre_spce_cheum_aea` has 100 (100.0%) missing values	Missing
`imgn_spce_shm_aea` has 100 (100.0%) missing values	Missing
`humn_spce_daum_aea` has 100 (100.0%) missing values	Missing
`book_cafe_suda_aea` has 100 (100.0%) missing values	Missing
`ehbll_aea` has 100 (100.0%) missing values	Missing
`ofce_spce_ttobagi_aea` has 100 (100.0%) missing values	Missing
`etc_tea_aea` has 100 (100.0%) missing values	Missing
`wakza_aea` has 100 (100.0%) missing values	Missing
`kungzak_aea` has 100 (100.0%) missing values	Missing
`dugun_aea` has 100 (100.0%) missing values	Missing
`drm_galary_aea` has 100 (100.0%) missing values	Missing
`imgn_cafe_aea` has 100 (100.0%) missing values	Missing
`doran_aea` has 100 (100.0%) missing values	Missing
`labrr_rum_aea` has 100 (100.0%) missing values	Missing
`dingl_aea` has 100 (100.0%) missing values	Missing
`wrhous_aea` has 100 (100.0%) missing values	Missing
`wdwrk_aea` has 100 (100.0%) missing values	Missing
`prct_rum_aea` has 100 (100.0%) missing values	Missing
`lctrum_one_to_four_aea` has 100 (100.0%) missing values	Missing
`frst_scnd_flr_majuchm_aea` has 100 (100.0%) missing values	Missing
`restrm_aea` has 100 (100.0%) missing values	Missing
`book_cafe_aea` has 100 (100.0%) missing values	Missing
`loby_aea` has 100 (100.0%) missing values	Missing
`ofce_loby_drctr_rum_aea` has 100 (100.0%) missing values	Missing
`ply_rum_aea` has 100 (100.0%) missing values	Missing
`cmputr_rum_aea` has 100 (100.0%) missing values	Missing
`id` has unique values	Unique
`fclt_name` has unique values	Unique
`legaldong_cd` has unique values	Unique
`adstrd_cd` has unique values	Unique
`adstrd_nm` has unique values	Unique
`rdnmaddr_cd` has unique values	Unique
`rdnm_addr` has unique values	Unique
`zip_cd` has unique values	Unique
`grid_cd` has unique values	Unique
`x_cd` has unique values	Unique
`y_cd` has unique values	Unique
`telno` has unique values	Unique
`playng_spce_eum_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`act_spce_tum_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`cre_spce_cheum_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`imgn_spce_shm_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`humn_spce_daum_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`book_cafe_suda_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`ehbll_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`ofce_spce_ttobagi_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`etc_tea_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`wakza_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`kungzak_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`dugun_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`drm_galary_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`imgn_cafe_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`doran_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`labrr_rum_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`dingl_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`wrhous_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`wdwrk_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`prct_rum_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`lctrum_one_to_four_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`frst_scnd_flr_majuchm_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`restrm_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`book_cafe_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`loby_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`ofce_loby_drctr_rum_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`ply_rum_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`cmputr_rum_aea` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bdg_tot` has 14 (14.0%) zeros	Zeros

Reproduction

Analysis started	2023-12-10 10:00:04.446520
Analysis finished	2023-12-10 10:00:07.778940
Duration	3.33 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	17
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	KCDMCLT21N000000001
2nd row	KCDMCLT21N000000008
3rd row	KCDMCLT21N000000003
4th row	KCDMCLT21N000000004
5th row	KCDMCLT21N000000005

Value	Count	Frequency (%)
kcdmclt21n000000001	1	1.0%
kcdmclt21n000000063	1	1.0%
kcdmclt21n000000074	1	1.0%
kcdmclt21n000000073	1	1.0%
kcdmclt21n000000072	1	1.0%
kcdmclt21n000000071	1	1.0%
kcdmclt21n000000070	1	1.0%
kcdmclt21n000000069	1	1.0%
kcdmclt21n000000068	1	1.0%
kcdmclt21n000000067	1	1.0%
Other values (90)	90	90.0%

Most occurring characters

Value	Count	Frequency (%)
0	718	37.8%
C	200	10.5%
1	123	6.5%
2	119	6.3%
K	100	5.3%
N	100	5.3%
T	100	5.3%
L	100	5.3%
M	100	5.3%
D	100	5.3%
Other values (7)	140	7.4%

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	718	65.3%
1	123	11.2%
2	119	10.8%
3	20	1.8%
4	20	1.8%
5	20	1.8%
6	20	1.8%
7	20	1.8%
9	20	1.8%
8	20	1.8%

Uppercase Letter

Value	Count	Frequency (%)
C	200	25.0%
K	100	12.5%
N	100	12.5%
T	100	12.5%
L	100	12.5%
M	100	12.5%
D	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	718	65.3%
1	123	11.2%
2	119	10.8%
3	20	1.8%
4	20	1.8%
5	20	1.8%
6	20	1.8%
7	20	1.8%
9	20	1.8%
8	20	1.8%

Latin

Value	Count	Frequency (%)
C	200	25.0%
K	100	12.5%
N	100	12.5%
T	100	12.5%
L	100	12.5%
M	100	12.5%
D	100	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1900	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	718	37.8%
C	200	10.5%
1	123	6.5%
2	119	6.3%
K	100	5.3%
N	100	5.3%
T	100	5.3%
L	100	5.3%
M	100	5.3%
D	100	5.3%
Other values (7)	140	7.4%

lclas
Categorical

CONSTANT

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

문화시설	100

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
문화시설	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
문화시설	100	100.0%

mlsfc
Categorical

CONSTANT

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

문화의집	100

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
문화의집	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
문화의집	100	100.0%

fclt_name
Text

UNIQUE

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

Length

Max length	9
Median length	6
Mean length	6.33
Min length	6

Characters and Unicode

Total characters	633
Distinct characters	114
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	응암1동문화의집
2nd row	북구문화의집
3rd row	화곡문화의집
4th row	노원문화의집
5th row	목2동문화의집

Value	Count	Frequency (%)
응암1동문화의집	1	1.0%
동해문화의집	1	1.0%
김해문화의집	1	1.0%
욕지문화의집	1	1.0%
통영문화의집	1	1.0%
웅동문화의집	1	1.0%
경화문화의집	1	1.0%
내서문화의집	1	1.0%
영양문화의집	1	1.0%
풍기문화의집	1	1.0%
Other values (90)	90	90.0%

Most occurring characters

Value	Count	Frequency (%)
화	103	16.3%
문	102	16.1%
의	101	16.0%
집	100	15.8%
동	16	2.5%
진	9	1.4%
산	8	1.3%
안	6	0.9%
주	6	0.9%
2	6	0.9%
Other values (104)	176	27.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	624	98.6%
Decimal Number	9	1.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
화	103	16.5%
문	102	16.3%
의	101	16.2%
집	100	16.0%
동	16	2.6%
진	9	1.4%
산	8	1.3%
안	6	1.0%
주	6	1.0%
영	5	0.8%
Other values (101)	168	26.9%

Decimal Number

Value	Count	Frequency (%)
2	6	66.7%
1	2	22.2%
3	1	11.1%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	624	98.6%
Common	9	1.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
화	103	16.5%
문	102	16.3%
의	101	16.2%
집	100	16.0%
동	16	2.6%
진	9	1.4%
산	8	1.3%
안	6	1.0%
주	6	1.0%
영	5	0.8%
Other values (101)	168	26.9%

Common

Value	Count	Frequency (%)
2	6	66.7%
1	2	22.2%
3	1	11.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	624	98.6%
ASCII	9	1.4%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
화	103	16.5%
문	102	16.3%
의	101	16.2%
집	100	16.0%
동	16	2.6%
진	9	1.4%
산	8	1.3%
안	6	1.0%
주	6	1.0%
영	5	0.8%
Other values (101)	168	26.9%

ASCII

Value	Count	Frequency (%)
2	6	66.7%
1	2	22.2%
3	1	11.1%

ctprvn_nm
Categorical

Distinct	14
Distinct (%)	14.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

제주특별자치도	19
경상남도	14
전라북도	12
경기도	10
충청북도	7
Other values (9)	38

Length

Max length	7
Median length	5
Mean length	4.57
Min length	3

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	서울특별시
2nd row	광주광역시
3rd row	서울특별시
4th row	서울특별시
5th row	서울특별시

Common Values

Value	Count	Frequency (%)
제주특별자치도	19	19.0%
경상남도	14	14.0%
전라북도	12	12.0%
경기도	10	10.0%
충청북도	7	7.0%
강원도	6	6.0%
충청남도	6	6.0%
경상북도	6	6.0%
서울특별시	4	4.0%
광주광역시	4	4.0%
Other values (4)	12	12.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
제주특별자치도	19	19.0%
경상남도	14	14.0%
전라북도	12	12.0%
경기도	10	10.0%
충청북도	7	7.0%
강원도	6	6.0%
충청남도	6	6.0%
경상북도	6	6.0%
서울특별시	4	4.0%
광주광역시	4	4.0%
Other values (4)	12	12.0%

sgnr_nm
Text

Distinct	57
Distinct (%)	57.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	4
Median length	3
Mean length	3.02
Min length	2

Characters and Unicode

Total characters	302
Distinct characters	66
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	39 ?
Unique (%)	39.0%

Sample

1st row	은평구
2nd row	북구
3rd row	강서구
4th row	노원구
5th row	양천구

Value	Count	Frequency (%)
제주시	11	11.0%
서귀포시	8	8.0%
전주시	5	5.0%
김해시	4	4.0%
북구	4	4.0%
양산시	3	3.0%
창원시	3	3.0%
대덕구	3	3.0%
포항시	2	2.0%
강릉시	2	2.0%
Other values (47)	55	55.0%

Most occurring characters

Value	Count	Frequency (%)
시	65	21.5%
주	28	9.3%
군	20	6.6%
구	16	5.3%
제	12	4.0%
서	10	3.3%
포	10	3.3%
양	8	2.6%
귀	8	2.6%
산	6	2.0%
Other values (56)	119	39.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	302	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	65	21.5%
주	28	9.3%
군	20	6.6%
구	16	5.3%
제	12	4.0%
서	10	3.3%
포	10	3.3%
양	8	2.6%
귀	8	2.6%
산	6	2.0%
Other values (56)	119	39.4%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	302	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	65	21.5%
주	28	9.3%
군	20	6.6%
구	16	5.3%
제	12	4.0%
서	10	3.3%
포	10	3.3%
양	8	2.6%
귀	8	2.6%
산	6	2.0%
Other values (56)	119	39.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	302	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	65	21.5%
주	28	9.3%
군	20	6.6%
구	16	5.3%
제	12	4.0%
서	10	3.3%
포	10	3.3%
양	8	2.6%
귀	8	2.6%
산	6	2.0%
Other values (56)	119	39.4%

legaldong_cd
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.2878848 × 10⁹

Minimum	1.1350105 × 10⁹
Maximum	5.013032 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1.1350105 × 10⁹
5-th percentile	2.9092356 × 10⁹
Q1	4.1590258 × 10⁹
median	4.514661 × 10⁹
Q3	4.8250153 × 10⁹
95-th percentile	5.0130119 × 10⁹
Maximum	5.013032 × 10⁹
Range	3.8780215 × 10⁹
Interquartile range (IQR)	6.6598947 × 10⁸

Descriptive statistics

Standard deviation	8.7912933 × 10⁸
Coefficient of variation (CV)	0.20502634
Kurtosis	4.6703782
Mean	4.2878848 × 10⁹
Median Absolute Deviation (MAD)	3.1435686 × 10⁸
Skewness	-2.1218662
Sum	4.2878848 × 10¹¹
Variance	7.7286837 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1138010700	1	1.0%
4715010600	1	1.0%
4825010800	1	1.0%
4825010300	1	1.0%
4822035021	1	1.0%
4822025026	1	1.0%
4812916400	1	1.0%
4812913900	1	1.0%
4812725025	1	1.0%
4776025022	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1135010500	1	1.0%
1138010700	1	1.0%
1147010200	1	1.0%
1150010300	1	1.0%
2818510500	1	1.0%
2914010600	1	1.0%
2917011200	1	1.0%
2917011300	1	1.0%
2917012700	1	1.0%
3023010300	1	1.0%

Value	Count	Frequency (%)
5013032021	1	1.0%
5013031021	1	1.0%
5013025922	1	1.0%
5013025327	1	1.0%
5013025031	1	1.0%
5013011200	1	1.0%
5013011000	1	1.0%
5013010200	1	1.0%
5011031023	1	1.0%
5011025921	1	1.0%

legalemd_nm
Text

Distinct	99
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	8
Median length	7
Mean length	4.89
Min length	2

Characters and Unicode

Total characters	489
Distinct characters	122
Distinct categories	3 ?
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	98 ?
Unique (%)	98.0%

Sample

1st row	응암동
2nd row	문흥동
3rd row	화곡동
4th row	상계동
5th row	목동

Value	Count	Frequency (%)
읍내동	2	1.4%
동부리	2	1.4%
산양읍	1	0.7%
영양읍	1	0.7%
서부리	1	0.7%
내서읍	1	0.7%
중리	1	0.7%
경화동	1	0.7%
용원동	1	0.7%
남평리	1	0.7%
Other values (133)	133	91.7%

Most occurring characters

Value	Count	Frequency (%)
동	61	12.5%
	45	9.2%
리	45	9.2%
읍	33	6.7%
면	15	3.1%
산	12	2.5%
안	8	1.6%
진	8	1.6%
도	7	1.4%
남	7	1.4%
Other values (112)	248	50.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	438	89.6%
Space Separator	45	9.2%
Decimal Number	6	1.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	61	13.9%
리	45	10.3%
읍	33	7.5%
면	15	3.4%
산	12	2.7%
안	8	1.8%
진	8	1.8%
도	7	1.6%
남	7	1.6%
교	7	1.6%
Other values (108)	235	53.7%

Decimal Number

Value	Count	Frequency (%)
1	3	50.0%
2	2	33.3%
3	1	16.7%

Space Separator

Value	Count	Frequency (%)
	45	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	438	89.6%
Common	51	10.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	61	13.9%
리	45	10.3%
읍	33	7.5%
면	15	3.4%
산	12	2.7%
안	8	1.8%
진	8	1.8%
도	7	1.6%
남	7	1.6%
교	7	1.6%
Other values (108)	235	53.7%

Common

Value	Count	Frequency (%)
	45	88.2%
1	3	5.9%
2	2	3.9%
3	1	2.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	438	89.6%
ASCII	51	10.4%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	61	13.9%
리	45	10.3%
읍	33	7.5%
면	15	3.4%
산	12	2.7%
안	8	1.8%
진	8	1.8%
도	7	1.6%
남	7	1.6%
교	7	1.6%
Other values (108)	235	53.7%

ASCII

Value	Count	Frequency (%)
	45	88.2%
1	3	5.9%
2	2	3.9%
3	1	2.0%

adstrd_cd
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.2879104 × 10⁹

Minimum	1.13507 × 10⁹
Maximum	5.013061 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1.13507 × 10⁹
5-th percentile	2.9092917 × 10⁹
Q1	4.1590258 × 10⁹
median	4.514709 × 10⁹
Q3	4.8250552 × 10⁹
95-th percentile	5.0130262 × 10⁹
Maximum	5.013061 × 10⁹
Range	3.877991 × 10⁹
Interquartile range (IQR)	6.660295 × 10⁸

Descriptive statistics

Standard deviation	8.7912021 × 10⁸
Coefficient of variation (CV)	0.20502299
Kurtosis	4.6704372
Mean	4.2879104 × 10⁹
Median Absolute Deviation (MAD)	3.1433695 × 10⁸
Skewness	-2.1218708
Sum	4.2879104 × 10¹¹
Variance	7.7285234 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1138058000	1	1.0%
4715053600	1	1.0%
4825054000	1	1.0%
4825053000	1	1.0%
4822035000	1	1.0%
4822025000	1	1.0%
4812965000	1	1.0%
4812956000	1	1.0%
4812725000	1	1.0%
4776025000	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1135070000	1	1.0%
1138058000	1	1.0%
1147052000	1	1.0%
1150061500	1	1.0%
2818579500	1	1.0%
2914066000	1	1.0%
2917065000	1	1.0%
2917065700	1	1.0%
2917066900	1	1.0%
3023052500	1	1.0%

Value	Count	Frequency (%)
5013061000	1	1.0%
5013059000	1	1.0%
5013051000	1	1.0%
5013032000	1	1.0%
5013031000	1	1.0%
5013025900	1	1.0%
5013025300	1	1.0%
5013025000	1	1.0%
5011066000	1	1.0%
5011065000	1	1.0%

adstrd_nm
Text

UNIQUE

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

Length

Max length	5
Median length	3
Mean length	3.28
Min length	2

Characters and Unicode

Total characters	328
Distinct characters	108
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	응암1동
2nd row	문흥2동
3rd row	우장산동
4th row	상계8동
5th row	목2동

Value	Count	Frequency (%)
응암1동	1	1.0%
동해면	1	1.0%
부원동	1	1.0%
욕지면	1	1.0%
산양읍	1	1.0%
웅동2동	1	1.0%
경화동	1	1.0%
내서읍	1	1.0%
영양읍	1	1.0%
풍기읍	1	1.0%
Other values (90)	90	90.0%

Most occurring characters

Value	Count	Frequency (%)
동	58	17.7%
읍	30	9.1%
면	16	4.9%
2	11	3.4%
산	10	3.0%
1	9	2.7%
진	8	2.4%
안	7	2.1%
삼	6	1.8%
성	6	1.8%
Other values (98)	167	50.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	303	92.4%
Decimal Number	25	7.6%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	58	19.1%
읍	30	9.9%
면	16	5.3%
산	10	3.3%
진	8	2.6%
안	7	2.3%
삼	6	2.0%
성	6	2.0%
도	5	1.7%
화	4	1.3%
Other values (93)	153	50.5%

Decimal Number

Value	Count	Frequency (%)
2	11	44.0%
1	9	36.0%
3	3	12.0%
8	1	4.0%
5	1	4.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	303	92.4%
Common	25	7.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	58	19.1%
읍	30	9.9%
면	16	5.3%
산	10	3.3%
진	8	2.6%
안	7	2.3%
삼	6	2.0%
성	6	2.0%
도	5	1.7%
화	4	1.3%
Other values (93)	153	50.5%

Common

Value	Count	Frequency (%)
2	11	44.0%
1	9	36.0%
3	3	12.0%
8	1	4.0%
5	1	4.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	303	92.4%
ASCII	25	7.6%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	58	19.1%
읍	30	9.9%
면	16	5.3%
산	10	3.3%
진	8	2.6%
안	7	2.3%
삼	6	2.0%
성	6	2.0%
도	5	1.7%
화	4	1.3%
Other values (93)	153	50.5%

ASCII

Value	Count	Frequency (%)
2	11	44.0%
1	9	36.0%
3	3	12.0%
8	1	4.0%
5	1	4.0%

rdnmaddr_cd
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.2879038 × 10¹¹

Minimum	1.13503 × 10¹¹
Maximum	5.0130485 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1.13503 × 10¹¹
5-th percentile	2.9092565 × 10¹¹
Q1	4.1590413 × 10¹¹
median	4.5146961 × 10¹¹
Q3	4.8250481 × 10¹¹
95-th percentile	5.0130335 × 10¹¹
Maximum	5.0130485 × 10¹¹
Range	3.8780185 × 10¹¹
Interquartile range (IQR)	6.660068 × 10¹⁰

Descriptive statistics

Standard deviation	8.7912895 × 10¹⁰
Coefficient of variation (CV)	0.20502534
Kurtosis	4.6703795
Mean	4.2879038 × 10¹¹
Median Absolute Deviation (MAD)	3.1434466 × 10¹⁰
Skewness	-2.121864
Sum	4.2879038 × 10¹³
Variance	7.728677 × 10²¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
113803111003	1	1.0%
471504718802	1	1.0%
482502335002	1	1.0%
482504805187	1	1.0%
482204799419	1	1.0%
482204799131	1	1.0%
481293331037	1	1.0%
481294793023	1	1.0%
481274790267	1	1.0%
477604751035	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
113503000001	1	1.0%
113803111003	1	1.0%
114703114006	1	1.0%
115003005069	1	1.0%
281853008020	1	1.0%
291403160058	1	1.0%
291702162002	1	1.0%
291703162009	1	1.0%
291703162060	1	1.0%
302303010002	1	1.0%

Value	Count	Frequency (%)
501304851022	1	1.0%
501304850766	1	1.0%
501304850281	1	1.0%
501303350327	1	1.0%
501303350268	1	1.0%
501303350143	1	1.0%
501303350018	1	1.0%
501303349235	1	1.0%
501104849131	1	1.0%
501104849083	1	1.0%

rdnm_addr
Text

UNIQUE

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

Length

Max length	33
Median length	24
Mean length	18.58
Min length	12

Characters and Unicode

Total characters	1858
Distinct characters	175
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	100 ?
Unique (%)	100.0%

Sample

1st row	서울 은평구 백련산로 179
2nd row	광주 북구 대천로 86
3rd row	서울 강서구 화곡로 215
4th row	서울 노원구 동일로 지하 1530-1
5th row	서울 양천구 목동중앙본로 120

Value	Count	Frequency (%)
제주특별자치도	19	4.1%
경남	14	3.0%
전북	12	2.6%
제주시	11	2.4%
경기	10	2.2%
서귀포시	8	1.7%
충북	7	1.5%
경북	6	1.3%
강원	6	1.3%
충남	6	1.3%
Other values (299)	362	78.5%

Most occurring characters

Value	Count	Frequency (%)
	361	19.4%
1	77	4.1%
로	74	4.0%
시	66	3.6%
주	56	3.0%
2	45	2.4%
길	43	2.3%
남	36	1.9%
3	35	1.9%
북	34	1.8%
Other values (165)	1031	55.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1170	63.0%
Space Separator	361	19.4%
Decimal Number	308	16.6%
Dash Punctuation	19	1.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	74	6.3%
시	66	5.6%
주	56	4.8%
길	43	3.7%
남	36	3.1%
북	34	2.9%
구	33	2.8%
경	32	2.7%
읍	31	2.6%
제	31	2.6%
Other values (153)	734	62.7%

Decimal Number

Value	Count	Frequency (%)
1	77	25.0%
2	45	14.6%
3	35	11.4%
5	29	9.4%
7	27	8.8%
4	22	7.1%
8	21	6.8%
0	21	6.8%
9	19	6.2%
6	12	3.9%

Space Separator

Value	Count	Frequency (%)
	361	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1170	63.0%
Common	688	37.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	74	6.3%
시	66	5.6%
주	56	4.8%
길	43	3.7%
남	36	3.1%
북	34	2.9%
구	33	2.8%
경	32	2.7%
읍	31	2.6%
제	31	2.6%
Other values (153)	734	62.7%

Common

Value	Count	Frequency (%)
	361	52.5%
1	77	11.2%
2	45	6.5%
3	35	5.1%
5	29	4.2%
7	27	3.9%
4	22	3.2%
8	21	3.1%
0	21	3.1%
-	19	2.8%
Other values (2)	31	4.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1170	63.0%
ASCII	688	37.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	361	52.5%
1	77	11.2%
2	45	6.5%
3	35	5.1%
5	29	4.2%
7	27	3.9%
4	22	3.2%
8	21	3.1%
0	21	3.1%
-	19	2.8%
Other values (2)	31	4.5%

Hangul

Value	Count	Frequency (%)
로	74	6.3%
시	66	5.6%
주	56	4.8%
길	43	3.7%
남	36	3.1%
북	34	2.9%
구	33	2.8%
경	32	2.7%
읍	31	2.6%
제	31	2.6%
Other values (153)	734	62.7%

zip_cd
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43117.6

Minimum	1674
Maximum	63640
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1674
5-th percentile	11925.8
Q1	28404.5
median	50698.5
Q3	58478
95-th percentile	63546.35
Maximum	63640
Range	61966
Interquartile range (IQR)	30073.5

Descriptive statistics

Standard deviation	17915.626
Coefficient of variation (CV)	0.4155061
Kurtosis	-0.91747387
Mean	43117.6
Median Absolute Deviation (MAD)	12634
Skewness	-0.55158962
Sum	4311760
Variance	3.2096964 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3462	1	1.0%
39596	1	1.0%
50893	1	1.0%
50924	1	1.0%
53100	1	1.0%
53084	1	1.0%
51604	1	1.0%
51668	1	1.0%
51244	1	1.0%
36541	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1674	1	1.0%
3462	1	1.0%
7696	1	1.0%
7972	1	1.0%
10345	1	1.0%
12009	1	1.0%
13343	1	1.0%
13588	1	1.0%
14245	1	1.0%
14289	1	1.0%

Value	Count	Frequency (%)
63640	1	1.0%
63629	1	1.0%
63611	1	1.0%
63599	1	1.0%
63572	1	1.0%
63545	1	1.0%
63529	1	1.0%
63501	1	1.0%
63338	1	1.0%
63327	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	다사493558
2nd row	다라468878
3rd row	다사420496
4th row	다사609629
5th row	다사444498

Value	Count	Frequency (%)
다사493558	1	1.0%
마마747788	1	1.0%
마라261934	1	1.0%
라라699272	1	1.0%
라라817457	1	1.0%
마라198791	1	1.0%
마라077853	1	1.0%
라라930952	1	1.0%
마바445529	1	1.0%
라바921750	1	1.0%
Other values (90)	90	90.0%

Most occurring characters

Value	Count	Frequency (%)
4	75	9.4%
6	72	9.0%
9	69	8.6%
다	67	8.4%
7	63	7.9%
2	59	7.4%
0	59	7.4%
8	56	7.0%
1	51	6.4%
3	48	6.0%
Other values (7)	181	22.6%

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	75	12.5%
6	72	12.0%
9	69	11.5%
7	63	10.5%
2	59	9.8%
0	59	9.8%
8	56	9.3%
1	51	8.5%
3	48	8.0%
5	48	8.0%

Other Letter

Value	Count	Frequency (%)
다	67	33.5%
마	45	22.5%
라	34	17.0%
사	21	10.5%
나	17	8.5%
바	15	7.5%
아	1	0.5%

Most occurring scripts

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

Most frequent character per script

Common

Value	Count	Frequency (%)
4	75	12.5%
6	72	12.0%
9	69	11.5%
7	63	10.5%
2	59	9.8%
0	59	9.8%
8	56	9.3%
1	51	8.5%
3	48	8.0%
5	48	8.0%

Hangul

Value	Count	Frequency (%)
다	67	33.5%
마	45	22.5%
라	34	17.0%
사	21	10.5%
나	17	8.5%
바	15	7.5%
아	1	0.5%

Most occurring blocks

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

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	75	12.5%
6	72	12.0%
9	69	11.5%
7	63	10.5%
2	59	9.8%
0	59	9.8%
8	56	9.3%
1	51	8.5%
3	48	8.0%
5	48	8.0%

Hangul

Value	Count	Frequency (%)
다	67	33.5%
마	45	22.5%
라	34	17.0%
사	21	10.5%
나	17	8.5%
바	15	7.5%
아	1	0.5%

x_cd
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35.691714

Minimum	33.2413
Maximum	38.378736
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	33.2413
5-th percentile	33.274933
Q1	35.025257
median	35.801469
Q3	36.873226
95-th percentile	37.666448
Maximum	38.378736
Range	5.1374357
Interquartile range (IQR)	1.8479689

Descriptive statistics

Standard deviation	1.4102507
Coefficient of variation (CV)	0.03951199
Kurtosis	-0.85023751
Mean	35.691714
Median Absolute Deviation (MAD)	0.92357445
Skewness	-0.30176573
Sum	3569.1714
Variance	1.9888069
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37.6006967	1	1.0%
36.1192927	1	1.0%
35.2375153	1	1.0%
35.2287591	1	1.0%
34.6367688	1	1.0%
34.8028689	1	1.0%
35.1007431	1	1.0%
35.1573875	1	1.0%
35.2487475	1	1.0%
36.6634721	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
33.2413	1	1.0%
33.2481875	1	1.0%
33.2538132	1	1.0%
33.2550532	1	1.0%
33.2734604	1	1.0%
33.2750105	1	1.0%
33.3004758	1	1.0%
33.3237751	1	1.0%
33.4552736	1	1.0%
33.455506	1	1.0%

Value	Count	Frequency (%)
38.3787357	1	1.0%
37.8816278	1	1.0%
37.7638348	1	1.0%
37.7263284	1	1.0%
37.6923236	1	1.0%
37.6650864	1	1.0%
37.6006967	1	1.0%
37.5461436	1	1.0%
37.5446931	1	1.0%
37.4859424	1	1.0%

y_cd
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	127.49014

Minimum	126.18371
Maximum	129.43826
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	126.18371
5-th percentile	126.42401
Q1	126.80053
median	127.14385
Q3	128.27256
95-th percentile	129.21115
Maximum	129.43826
Range	3.2545531
Interquartile range (IQR)	1.4720389

Descriptive statistics

Standard deviation	0.93421597
Coefficient of variation (CV)	0.0073277505
Kurtosis	-0.86894988
Mean	127.49014
Median Absolute Deviation (MAD)	0.5426266
Skewness	0.67607632
Sum	12749.014
Variance	0.87275948
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
126.9267462	1	1.0%
128.1194969	1	1.0%
128.8578667	1	1.0%
128.8867767	1	1.0%
128.2633597	1	1.0%
128.3934507	1	1.0%
128.8146167	1	1.0%
128.6825396	1	1.0%
128.5229707	1	1.0%
129.1175295	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126.1837079	1	1.0%
126.1989563	1	1.0%
126.330651	1	1.0%
126.3796939	1	1.0%
126.4033249	1	1.0%
126.4250952	1	1.0%
126.4550021	1	1.0%
126.4720301	1	1.0%
126.496923	1	1.0%
126.5111842	1	1.0%

Value	Count	Frequency (%)
129.438261	1	1.0%
129.3396564	1	1.0%
129.3147192	1	1.0%
129.3078443	1	1.0%
129.3012319	1	1.0%
129.2064128	1	1.0%
129.1175295	1	1.0%
129.0861714	1	1.0%
129.0666985	1	1.0%
129.0481077	1	1.0%

telno
Text

UNIQUE

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

Length

Max length	20
Median length	12
Mean length	12.2
Min length	11

Characters and Unicode

Total characters	1220
Distinct characters	15
Distinct categories	6 ?
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	02-351-5238
2nd row	062-269-1420
3rd row	02-2692-4266
4th row	02-2116-3787
5th row	02-2620-3972

Value	Count	Frequency (%)
02-351-5238	1	1.0%
054-284-6820	1	1.0%
055-330-3227	1	1.0%
055-650-2630	1	1.0%
055-650-2630(2501,2	1	1.0%
055-548-6814	1	1.0%
055-548-2055	1	1.0%
055-230-5035	1	1.0%
054-680-6461	1	1.0%
054-636-2868	1	1.0%
Other values (90)	90	90.0%

Most occurring characters

Value	Count	Frequency (%)
-	200	16.4%
0	177	14.5%
2	126	10.3%
4	122	10.0%
3	113	9.3%
6	113	9.3%
5	108	8.9%
8	81	6.6%
7	73	6.0%
1	66	5.4%
Other values (5)	41	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1011	82.9%
Dash Punctuation	200	16.4%
Math Symbol	3	0.2%
Open Punctuation	2	0.2%
Close Punctuation	2	0.2%
Other Punctuation	2	0.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	177	17.5%
2	126	12.5%
4	122	12.1%
3	113	11.2%
6	113	11.2%
5	108	10.7%
8	81	8.0%
7	73	7.2%
1	66	6.5%
9	32	3.2%

Dash Punctuation

Value	Count	Frequency (%)
-	200	100.0%

Math Symbol

Value	Count	Frequency (%)
~	3	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1220	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	200	16.4%
0	177	14.5%
2	126	10.3%
4	122	10.0%
3	113	9.3%
6	113	9.3%
5	108	8.9%
8	81	6.6%
7	73	6.0%
1	66	5.4%
Other values (5)	41	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1220	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	200	16.4%
0	177	14.5%
2	126	10.3%
4	122	10.0%
3	113	9.3%
6	113	9.3%
5	108	8.9%
8	81	6.6%
7	73	6.0%
1	66	5.4%
Other values (5)	41	3.4%

hmpg
Text

Distinct	54
Distinct (%)	54.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	62
Median length	56
Mean length	14.53
Min length	1

Characters and Unicode

Total characters	1453
Distinct characters	58
Distinct categories	8 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	48 ?
Unique (%)	48.0%

Sample

1st row	-
2nd row	www.munhwahouse.or.kr
3rd row	www.kcc2000.or.kr
4th row	-
5th row	-

Value	Count	Frequency (%)
	42	40.8%
http://culture.wanju.go.kr	2	1.9%
www.tongyeonglib.or.kr	2	1.9%
tour.gimhae.go.kr	2	1.9%
http://sm.seongnam.go.kr	2	1.9%
http://jjcp.or.kr	2	1.9%
www.jjcp.or.kr	1	1.0%
lib.jeju.go.kr	1	1.0%
http://jumin.jeju.go.kr	1	1.0%
http://jinbuk.jjcp.or.kr,https://www.facebook.com/jinbuk0186	1	1.0%
Other values (47)	47	45.6%

Most occurring characters

Value	Count	Frequency (%)
.	159	10.9%
w	99	6.8%
/	94	6.5%
t	86	5.9%
r	85	5.8%
o	84	5.8%
u	59	4.1%
g	58	4.0%
n	58	4.0%
e	57	3.9%
Other values (48)	614	42.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1060	73.0%
Other Punctuation	289	19.9%
Dash Punctuation	44	3.0%
Decimal Number	41	2.8%
Other Letter	14	1.0%
Space Separator	3	0.2%
Close Punctuation	1	0.1%
Open Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	99	9.3%
t	86	8.1%
r	85	8.0%
o	84	7.9%
u	59	5.6%
g	58	5.5%
n	58	5.5%
e	57	5.4%
h	55	5.2%
k	54	5.1%
Other values (15)	365	34.4%

Other Letter

Value	Count	Frequency (%)
보	1	7.1%
홍	1	7.1%
내	1	7.1%
지	1	7.1%
이	1	7.1%
페	1	7.1%
홈	1	7.1%
관	1	7.1%
서	1	7.1%
도	1	7.1%
Other values (4)	4	28.6%

Decimal Number

Value	Count	Frequency (%)
0	10	24.4%
3	6	14.6%
5	5	12.2%
1	5	12.2%
2	4	9.8%
4	4	9.8%
7	3	7.3%
8	2	4.9%
6	1	2.4%
9	1	2.4%

Other Punctuation

Value	Count	Frequency (%)
.	159	55.0%
/	94	32.5%
:	31	10.7%
,	4	1.4%
@	1	0.3%

Dash Punctuation

Value	Count	Frequency (%)
-	44	100.0%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1060	73.0%
Common	379	26.1%
Hangul	14	1.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	99	9.3%
t	86	8.1%
r	85	8.0%
o	84	7.9%
u	59	5.6%
g	58	5.5%
n	58	5.5%
e	57	5.4%
h	55	5.2%
k	54	5.1%
Other values (15)	365	34.4%

Common

Value	Count	Frequency (%)
.	159	42.0%
/	94	24.8%
-	44	11.6%
:	31	8.2%
0	10	2.6%
3	6	1.6%
5	5	1.3%
1	5	1.3%
,	4	1.1%
2	4	1.1%
Other values (9)	17	4.5%

Hangul

Value	Count	Frequency (%)
보	1	7.1%
홍	1	7.1%
내	1	7.1%
지	1	7.1%
이	1	7.1%
페	1	7.1%
홈	1	7.1%
관	1	7.1%
서	1	7.1%
도	1	7.1%
Other values (4)	4	28.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1438	99.0%
Hangul	14	1.0%
None	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	159	11.1%
w	99	6.9%
/	94	6.5%
t	86	6.0%
r	85	5.9%
o	84	5.8%
u	59	4.1%
g	58	4.0%
n	58	4.0%
e	57	4.0%
Other values (33)	599	41.7%

Hangul

Value	Count	Frequency (%)
보	1	7.1%
홍	1	7.1%
내	1	7.1%
지	1	7.1%
이	1	7.1%
페	1	7.1%
홈	1	7.1%
관	1	7.1%
서	1	7.1%
도	1	7.1%
Other values (4)	4	28.6%

None

Value	Count	Frequency (%)
é	1	100.0%

opn_dt
Text

Distinct	97
Distinct (%)	97.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	13
Median length	12
Mean length	10.25
Min length	4

Characters and Unicode

Total characters	1025
Distinct characters	13
Distinct categories	3 ?
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	94 ?
Unique (%)	94.0%

Sample

1st row	1997. 12. 22
2nd row	1997. 10. 24
3rd row	1999. 12. 28
4th row	2001. 4. 9
5th row	1999.12

Value	Count	Frequency (%)
2002	18	6.7%
4	15	5.6%
2001	15	5.6%
12	14	5.2%
3	13	4.8%
1	13	4.8%
5	13	4.8%
2003	12	4.5%
2000	12	4.5%
9	10	3.7%
Other values (47)	134	49.8%

Most occurring characters

Value	Count	Frequency (%)
0	192	18.7%
.	190	18.5%
	170	16.6%
2	156	15.2%
1	114	11.1%
9	61	6.0%
5	30	2.9%
3	30	2.9%
7	26	2.5%
4	23	2.2%
Other values (3)	33	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	664	64.8%
Other Punctuation	191	18.6%
Space Separator	170	16.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	192	28.9%
2	156	23.5%
1	114	17.2%
9	61	9.2%
5	30	4.5%
3	30	4.5%
7	26	3.9%
4	23	3.5%
8	17	2.6%
6	15	2.3%

Other Punctuation

Value	Count	Frequency (%)
.	190	99.5%
,	1	0.5%

Space Separator

Value	Count	Frequency (%)
	170	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	192	18.7%
.	190	18.5%
	170	16.6%
2	156	15.2%
1	114	11.1%
9	61	6.0%
5	30	2.9%
3	30	2.9%
7	26	2.5%
4	23	2.2%
Other values (3)	33	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	192	18.7%
.	190	18.5%
	170	16.6%
2	156	15.2%
1	114	11.1%
9	61	6.0%
5	30	2.9%
3	30	2.9%
7	26	2.5%
4	23	2.2%
Other values (3)	33	3.2%

oper_ty
Categorical

Distinct	3
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

직영	58
위탁	41
민간	1

Length

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

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	직영
2nd row	위탁
3rd row	위탁
4th row	직영
5th row	직영

Common Values

Value	Count	Frequency (%)
직영	58	58.0%
위탁	41	41.0%
민간	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
직영	58	58.0%
위탁	41	41.0%
민간	1	1.0%

oper_mby
Text

Distinct	99
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	15
Median length	11
Mean length	7.32
Min length	3

Characters and Unicode

Total characters	732
Distinct characters	162
Distinct categories	7 ?
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	98 ?
Unique (%)	98.0%

Sample

1st row	응암1동사무소
2nd row	광주문화자치회의
3rd row	강서문화원
4th row	노원구청
5th row	목2동 주민자치위원회

Value	Count	Frequency (%)
광명문화재단	2	1.7%
주민자치위원회	2	1.7%
통영시립	2	1.7%
광주	2	1.7%
주민센터	2	1.7%
총무팀	1	0.8%
욕지도서관	1	0.8%
산양도서관	1	0.8%
행정복지센터	1	0.8%
웅동2동	1	0.8%
Other values (104)	104	87.4%

Most occurring characters

Value	Count	Frequency (%)
주	35	4.8%
동	27	3.7%
문	25	3.4%
화	24	3.3%
민	24	3.3%
사	24	3.3%
원	22	3.0%
센	21	2.9%
터	21	2.9%
	19	2.6%
Other values (152)	490	66.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	679	92.8%
Space Separator	19	2.6%
Decimal Number	10	1.4%
Open Punctuation	8	1.1%
Close Punctuation	8	1.1%
Lowercase Letter	7	1.0%
Other Punctuation	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
주	35	5.2%
동	27	4.0%
문	25	3.7%
화	24	3.5%
민	24	3.5%
사	24	3.5%
원	22	3.2%
센	21	3.1%
터	21	3.1%
무	16	2.4%
Other values (138)	440	64.8%

Lowercase Letter

Value	Count	Frequency (%)
t	1	14.3%
e	1	14.3%
g	1	14.3%
a	1	14.3%
s	1	14.3%
y	1	14.3%
m	1	14.3%

Decimal Number

Value	Count	Frequency (%)
2	7	70.0%
1	2	20.0%
3	1	10.0%

Space Separator

Value	Count	Frequency (%)
	19	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	8	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	8	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	679	92.8%
Common	46	6.3%
Latin	7	1.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
주	35	5.2%
동	27	4.0%
문	25	3.7%
화	24	3.5%
민	24	3.5%
사	24	3.5%
원	22	3.2%
센	21	3.1%
터	21	3.1%
무	16	2.4%
Other values (138)	440	64.8%

Common

Value	Count	Frequency (%)
	19	41.3%
(	8	17.4%
)	8	17.4%
2	7	15.2%
1	2	4.3%
,	1	2.2%
3	1	2.2%

Latin

Value	Count	Frequency (%)
t	1	14.3%
e	1	14.3%
g	1	14.3%
a	1	14.3%
s	1	14.3%
y	1	14.3%
m	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	679	92.8%
ASCII	53	7.2%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
주	35	5.2%
동	27	4.0%
문	25	3.7%
화	24	3.5%
민	24	3.5%
사	24	3.5%
원	22	3.2%
센	21	3.1%
터	21	3.1%
무	16	2.4%
Other values (138)	440	64.8%

ASCII

Value	Count	Frequency (%)
	19	35.8%
(	8	15.1%
)	8	15.1%
2	7	13.2%
1	2	3.8%
t	1	1.9%
e	1	1.9%
g	1	1.9%
a	1	1.9%
s	1	1.9%
Other values (4)	4	7.5%

fyer_usr_cnt
Real number (ℝ)

Distinct	91
Distinct (%)	91.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25409.59

Minimum	0
Maximum	386432
Zeros	1
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	488
Q1	4750
median	16323.5
Q3	33247
95-th percentile	64917.7
Maximum	386432
Range	386432
Interquartile range (IQR)	28497

Descriptive statistics

Standard deviation	42324.978
Coefficient of variation (CV)	1.6657088
Kurtosis	54.208949
Mean	25409.59
Median Absolute Deviation (MAD)	13923.5
Skewness	6.5663823
Sum	2540959
Variance	1.7914037 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2000	3	3.0%
20000	2	2.0%
1200	2	2.0%
4000	2	2.0%
40000	2	2.0%
12000	2	2.0%
5000	2	2.0%
16000	2	2.0%
550	1	1.0%
53400	1	1.0%
Other values (81)	81	81.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	1.0%
100	1	1.0%
200	1	1.0%
240	1	1.0%
260	1	1.0%
500	1	1.0%
550	1	1.0%
800	1	1.0%
900	1	1.0%
1200	2	2.0%

Value	Count	Frequency (%)
386432	1	1.0%
127277	1	1.0%
86000	1	1.0%
75000	1	1.0%
67154	1	1.0%
64800	1	1.0%
59977	1	1.0%
57322	1	1.0%
53400	1	1.0%
47000	1	1.0%

oper_hr_cnt
Real number (ℝ)

Distinct	10
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.56

Minimum	0
Maximum	11
Zeros	1
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	6
Maximum	11
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.7426324
Coefficient of variation (CV)	0.68071578
Kurtosis	5.5096225
Mean	2.56
Median Absolute Deviation (MAD)	1
Skewness	1.8958165
Sum	256
Variance	3.0367677
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	30	30.0%
1	29	29.0%
3	17	17.0%
4	14	14.0%
5	3	3.0%
6	2	2.0%
7	2	2.0%
8	1	1.0%
11	1	1.0%
0	1	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	1.0%
1	29	29.0%
2	30	30.0%
3	17	17.0%
4	14	14.0%
5	3	3.0%
6	2	2.0%
7	2	2.0%
8	1	1.0%
11	1	1.0%

Value	Count	Frequency (%)
11	1	1.0%
8	1	1.0%
7	2	2.0%
6	2	2.0%
5	3	3.0%
4	14	14.0%
3	17	17.0%
2	30	30.0%
1	29	29.0%
0	1	1.0%

cls_day
Categorical

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

일, 공휴일	33
토, 일, 공휴일	24
월, 공휴일	17
공휴일	5
월	4
Other values (10)	17

Length

Max length	26
Median length	24.5
Mean length	7.19
Min length	1

Unique

Unique	6 ?
Unique (%)	6.0%

Sample

1st row	토, 일, 공휴일
2nd row	월, 공휴일
3rd row	공휴일
4th row	공휴일
5th row	일, 공휴일

Common Values

Value	Count	Frequency (%)
일, 공휴일	33	33.0%
토, 일, 공휴일	24	24.0%
월, 공휴일	17	17.0%
공휴일	5	5.0%
월	4	4.0%
일	3	3.0%
일, 월, 공휴일	3	3.0%
금, 설연휴, 추석연휴, 1월1일, 12월31일	3	3.0%
토, 일	2	2.0%
1·3주 월, 공휴일	1	1.0%
Other values (5)	5	5.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
공휴일	86	37.6%
일	66	28.8%
토	27	11.8%
월	27	11.8%
설연휴	5	2.2%
추석연휴	4	1.7%
1월1일	4	1.7%
금	3	1.3%
12월31일	3	1.3%
1·3주	1	0.4%
Other values (3)	3	1.3%

opn_tm_wkday
Categorical

Distinct	35
Distinct (%)	35.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

09:00~18:00	38
10:00~20:00	10
09:00~20:00	6
09:00~21:00	5
0.375	4
Other values (30)	37

Length

Max length	40
Median length	11
Mean length	12.27
Min length	5

Unique

Unique	25 ?
Unique (%)	25.0%

Sample

1st row	09:00~18:00
2nd row	하절기,09:00~19:00,동절기,09:00~18:00
3rd row	10:00~20:00
4th row	10:00~20:00
5th row	09:00~22:00

Common Values

Value	Count	Frequency (%)
09:00~18:00	38	38.0%
10:00~20:00	10	10.0%
09:00~20:00	6	6.0%
09:00~21:00	5	5.0%
0.375	4	4.0%
09:00~22:00	4	4.0%
10:00~17:00	2	2.0%
10:00~19:00	2	2.0%
9:00~18:00	2	2.0%
08:00~22:00	2	2.0%
Other values (25)	25	25.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
09:00~18:00	39	34.5%
10:00~20:00	10	8.8%
09:00~20:00	6	5.3%
09:00~21:00	6	5.3%
0.375	4	3.5%
09:00~22:00	4	3.5%
08:00~22:00	2	1.8%
9:00~18:00	2	1.8%
10:00~19:00	2	1.8%
10:00~17:00	2	1.8%
Other values (35)	36	31.9%

opn_tm_sat
Categorical

Distinct	24
Distinct (%)	24.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

-	30
09:00~18:00	19
10:00~17:00	11
10:00~18:00	10
09:00~17:00	7
Other values (19)	23

Length

Max length	30
Median length	11
Mean length	8.47
Min length	1

Unique

Unique	15 ?
Unique (%)	15.0%

Sample

1st row	-
2nd row	하절기,09:00~18:00,동절기,09:00~17:0
3rd row	10:00~17:00
4th row	10:00~18:00
5th row	10:00~14:00

Common Values

Value	Count	Frequency (%)
-	30	30.0%
09:00~18:00	19	19.0%
10:00~17:00	11	11.0%
10:00~18:00	10	10.0%
09:00~17:00	7	7.0%
08:00~22:00	2	2.0%
09:00~12:00	2	2.0%
0.375	2	2.0%
09:00~20:00	2	2.0%
0.416666667	1	1.0%
Other values (14)	14	14.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	30	28.3%
09:00~18:00	19	17.9%
10:00~17:00	11	10.4%
10:00~18:00	11	10.4%
09:00~17:00	8	7.5%
08:00~22:00	2	1.9%
09:00~12:00	2	1.9%
0.375	2	1.9%
09:00~20:00	2	1.9%
따라	1	0.9%
Other values (18)	18	17.0%

opn_tm_sun
Categorical

IMBALANCE

Distinct	14
Distinct (%)	14.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

-	68
09:00~18:00	10
10:00~18:00	8
10:00~17:00	2
9:00~18:00	2
Other values (9)	10

Length

Max length	28
Median length	1
Mean length	4.34
Min length	1

Unique

Unique	8 ?
Unique (%)	8.0%

Sample

1st row	-
2nd row	09:00~18:00
3rd row	-
4th row	10:00~18:00
5th row	-

Common Values

Value	Count	Frequency (%)
-	68	68.0%
09:00~18:00	10	10.0%
10:00~18:00	8	8.0%
10:00~17:00	2	2.0%
9:00~18:00	2	2.0%
08:00~22:00	2	2.0%
09:00~17:00	1	1.0%
10:00~16:00	1	1.0%
09:00-18:00	1	1.0%
필요시 10:00~18:00	1	1.0%
Other values (4)	4	4.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	68	64.2%
09:00~18:00	10	9.4%
10:00~18:00	9	8.5%
10:00~17:00	2	1.9%
9:00~18:00	2	1.9%
08:00~22:00	2	1.9%
09:00~17:00	2	1.9%
프로그램	1	0.9%
08:00	1	0.9%
변동	1	0.9%
Other values (8)	8	7.5%

opn_tm_hol
Categorical

IMBALANCE

Distinct	5
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

-	95
08:00~22:00	2
필요시 10:00~18:00	1
09:00~17:00 (프로그램 시간에 따라 변동)	1
08:00 ~22:00	1

Length

Max length	28
Median length	1
Mean length	1.72
Min length	1

Unique

Unique	3 ?
Unique (%)	3.0%

Sample

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

Common Values

Value	Count	Frequency (%)
-	95	95.0%
08:00~22:00	2	2.0%
필요시 10:00~18:00	1	1.0%
09:00~17:00 (프로그램 시간에 따라 변동)	1	1.0%
08:00 ~22:00	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	95	89.6%
08:00~22:00	2	1.9%
필요시	1	0.9%
10:00~18:00	1	0.9%
09:00~17:00	1	0.9%
프로그램	1	0.9%
시간에	1	0.9%
따라	1	0.9%
변동	1	0.9%
08:00	1	0.9%

kous_aea
Text

Distinct	99
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	26
Median length	8
Mean length	4.73
Min length	2

Characters and Unicode

Total characters	473
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	98 ?
Unique (%)	98.0%

Sample

1st row	357
2nd row	470.62
3rd row	497.2
4th row	540
5th row	831.6

Value	Count	Frequency (%)
532	2	1.9%
	2	1.9%
541	1	1.0%
1491	1	1.0%
528.92	1	1.0%
886.31	1	1.0%
1223.47	1	1.0%
424.6	1	1.0%
377.4	1	1.0%
761	1	1.0%
Other values (92)	92	88.5%

Most occurring characters

Value	Count	Frequency (%)
.	54	11.4%
3	53	11.2%
6	49	10.4%
4	49	10.4%
7	43	9.1%
5	43	9.1%
2	41	8.7%
8	39	8.2%
1	38	8.0%
9	27	5.7%
Other values (9)	37	7.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	402	85.0%
Other Punctuation	61	12.9%
Space Separator	4	0.8%
Other Letter	4	0.8%
Other Symbol	2	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	53	13.2%
6	49	12.2%
4	49	12.2%
7	43	10.7%
5	43	10.7%
2	41	10.2%
8	39	9.7%
1	38	9.5%
9	27	6.7%
0	20	5.0%

Other Letter

Value	Count	Frequency (%)
대	1	25.0%
지	1	25.0%
건	1	25.0%
물	1	25.0%

Other Punctuation

Value	Count	Frequency (%)
.	54	88.5%
,	5	8.2%
:	2	3.3%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Other Symbol

Value	Count	Frequency (%)
㎡	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	469	99.2%
Hangul	4	0.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	54	11.5%
3	53	11.3%
6	49	10.4%
4	49	10.4%
7	43	9.2%
5	43	9.2%
2	41	8.7%
8	39	8.3%
1	38	8.1%
9	27	5.8%
Other values (5)	33	7.0%

Hangul

Value	Count	Frequency (%)
대	1	25.0%
지	1	25.0%
건	1	25.0%
물	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	467	98.7%
Hangul	4	0.8%
CJK Compat	2	0.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	54	11.6%
3	53	11.3%
6	49	10.5%
4	49	10.5%
7	43	9.2%
5	43	9.2%
2	41	8.8%
8	39	8.4%
1	38	8.1%
9	27	5.8%
Other values (4)	31	6.6%

CJK Compat

Value	Count	Frequency (%)
㎡	2	100.0%

Hangul

Value	Count	Frequency (%)
대	1	25.0%
지	1	25.0%
건	1	25.0%
물	1	25.0%

clt_view_rum_aea
Text

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

Length

Max length	158
Median length	131
Mean length	18.52
Min length	1

Characters and Unicode

Total characters	1852
Distinct characters	177
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	5 ?

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

Unique

Unique	76 ?
Unique (%)	76.0%

Sample

1st row	143
2nd row	리빙메이커룸(106.53), 문화 창작실(45.36), 상상 카페, 착한 목공소(30.87), 낮은 작업장(32.85), 기타:로비, 쉼자리(17.68) 기타(60)
3rd row	129.5
4th row	97.52
5th row	-

Value	Count	Frequency (%)
	24	9.5%
문화	4	1.6%
사무실	3	1.2%
○	2	0.8%
기타(60	2	0.8%
1층	2	0.8%
문화관람실	2	0.8%
외	2	0.8%
카페	2	0.8%
음악실	2	0.8%
Other values (206)	208	82.2%

Most occurring characters

Value	Count	Frequency (%)
	159	8.6%
,	127	6.9%
(	113	6.1%
)	113	6.1%
1	106	5.7%
.	92	5.0%
2	76	4.1%
3	72	3.9%
5	70	3.8%
실	68	3.7%
Other values (167)	856	46.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	613	33.1%
Decimal Number	583	31.5%
Other Punctuation	241	13.0%
Space Separator	159	8.6%
Open Punctuation	113	6.1%
Close Punctuation	113	6.1%
Dash Punctuation	20	1.1%
Other Symbol	6	0.3%
Uppercase Letter	2	0.1%
Letter Number	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
실	68	11.1%
공	21	3.4%
작	15	2.4%
화	15	2.4%
문	14	2.3%
관	14	2.3%
사	12	2.0%
창	12	2.0%
연	11	1.8%
간	11	1.8%
Other values (141)	420	68.5%

Decimal Number

Value	Count	Frequency (%)
1	106	18.2%
2	76	13.0%
3	72	12.3%
5	70	12.0%
0	63	10.8%
8	55	9.4%
6	42	7.2%
4	41	7.0%
9	30	5.1%
7	28	4.8%

Other Punctuation

Value	Count	Frequency (%)
,	127	52.7%
.	92	38.2%
'	14	5.8%
:	4	1.7%
#	2	0.8%
/	2	0.8%

Other Symbol

Value	Count	Frequency (%)
㎡	4	66.7%
○	2	33.3%

Uppercase Letter

Value	Count	Frequency (%)
C	1	50.0%
D	1	50.0%

Space Separator

Value	Count	Frequency (%)
	159	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	113	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	113	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	20	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅱ	1	100.0%

Math Symbol

Value	Count	Frequency (%)
~	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1236	66.7%
Hangul	613	33.1%
Latin	3	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
실	68	11.1%
공	21	3.4%
작	15	2.4%
화	15	2.4%
문	14	2.3%
관	14	2.3%
사	12	2.0%
창	12	2.0%
연	11	1.8%
간	11	1.8%
Other values (141)	420	68.5%

Common

Value	Count	Frequency (%)
	159	12.9%
,	127	10.3%
(	113	9.1%
)	113	9.1%
1	106	8.6%
.	92	7.4%
2	76	6.1%
3	72	5.8%
5	70	5.7%
0	63	5.1%
Other values (13)	245	19.8%

Latin

Value	Count	Frequency (%)
C	1	33.3%
D	1	33.3%
Ⅱ	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1232	66.5%
Hangul	613	33.1%
CJK Compat	4	0.2%
Geometric Shapes	2	0.1%
Number Forms	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	159	12.9%
,	127	10.3%
(	113	9.2%
)	113	9.2%
1	106	8.6%
.	92	7.5%
2	76	6.2%
3	72	5.8%
5	70	5.7%
0	63	5.1%
Other values (13)	241	19.6%

Hangul

Value	Count	Frequency (%)
실	68	11.1%
공	21	3.4%
작	15	2.4%
화	15	2.4%
문	14	2.3%
관	14	2.3%
사	12	2.0%
창	12	2.0%
연	11	1.8%
간	11	1.8%
Other values (141)	420	68.5%

CJK Compat

Value	Count	Frequency (%)
㎡	4	100.0%

Geometric Shapes

Value	Count	Frequency (%)
○	2	100.0%

Number Forms

Value	Count	Frequency (%)
Ⅱ	1	100.0%

clt_cre_rum_aea
Text

MISSING

Distinct	61
Distinct (%)	72.6%
Missing	16
Missing (%)	16.0%
Memory size	932.0 B

Length

Max length	13
Median length	12
Mean length	3.1309524
Min length	1

Characters and Unicode

Total characters	263
Distinct characters	24
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	57 ?
Unique (%)	67.9%

Sample

1st row	52
2nd row	58
3rd row	40.99
4th row	-
5th row	58.3

Value	Count	Frequency (%)
	21	25.0%
40	2	2.4%
○	2	2.4%
80	2	2.4%
16평	1	1.2%
78	1	1.2%
72	1	1.2%
35.04	1	1.2%
33	1	1.2%
50	1	1.2%
Other values (51)	51	60.7%

Most occurring characters

Value	Count	Frequency (%)
.	35	13.3%
2	22	8.4%
3	22	8.4%
-	21	8.0%
8	20	7.6%
5	19	7.2%
0	19	7.2%
6	18	6.8%
1	18	6.8%
9	18	6.8%
Other values (14)	51	19.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	187	71.1%
Other Punctuation	38	14.4%
Dash Punctuation	21	8.0%
Other Letter	11	4.2%
Close Punctuation	2	0.8%
Other Symbol	2	0.8%
Open Punctuation	2	0.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	22	11.8%
3	22	11.8%
8	20	10.7%
5	19	10.2%
0	19	10.2%
6	18	9.6%
1	18	9.6%
9	18	9.6%
4	17	9.1%
7	14	7.5%

Other Letter

Value	Count	Frequency (%)
화	2	18.2%
실	2	18.2%
문	2	18.2%
강	1	9.1%
좌	1	9.1%
창	1	9.1%
작	1	9.1%
평	1	9.1%

Other Punctuation

Value	Count	Frequency (%)
.	35	92.1%
,	3	7.9%

Dash Punctuation

Value	Count	Frequency (%)
-	21	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Other Symbol

Value	Count	Frequency (%)
○	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	252	95.8%
Hangul	11	4.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	35	13.9%
2	22	8.7%
3	22	8.7%
-	21	8.3%
8	20	7.9%
5	19	7.5%
0	19	7.5%
6	18	7.1%
1	18	7.1%
9	18	7.1%
Other values (6)	40	15.9%

Hangul

Value	Count	Frequency (%)
화	2	18.2%
실	2	18.2%
문	2	18.2%
강	1	9.1%
좌	1	9.1%
창	1	9.1%
작	1	9.1%
평	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	250	95.1%
Hangul	11	4.2%
Geometric Shapes	2	0.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	35	14.0%
2	22	8.8%
3	22	8.8%
-	21	8.4%
8	20	8.0%
5	19	7.6%
0	19	7.6%
6	18	7.2%
1	18	7.2%
9	18	7.2%
Other values (5)	38	15.2%

Hangul

Value	Count	Frequency (%)
화	2	18.2%
실	2	18.2%
문	2	18.2%
강	1	9.1%
좌	1	9.1%
창	1	9.1%
작	1	9.1%
평	1	9.1%

Geometric Shapes

Value	Count	Frequency (%)
○	2	100.0%

clt_cre_grum_aea
Text

MISSING

Distinct	58
Distinct (%)	69.0%
Missing	16
Missing (%)	16.0%
Memory size	932.0 B

Length

Max length	57
Median length	43
Mean length	4.0833333
Min length	1

Characters and Unicode

Total characters	343
Distinct characters	62
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	55 ?
Unique (%)	65.5%

Sample

1st row	46
2nd row	28.5
3rd row	33.72
4th row	-
5th row	29

Value	Count	Frequency (%)
	25	26.6%
33	2	2.1%
29	2	2.1%
96	1	1.1%
7.4	1	1.1%
558	1	1.1%
10평	1	1.1%
46	1	1.1%
49.6	1	1.1%
18.81	1	1.1%
Other values (58)	58	61.7%

Most occurring characters

Value	Count	Frequency (%)
.	36	10.5%
3	27	7.9%
1	27	7.9%
2	27	7.9%
-	25	7.3%
5	21	6.1%
4	20	5.8%
8	20	5.8%
6	15	4.4%
7	13	3.8%
Other values (52)	112	32.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	189	55.1%
Other Letter	56	16.3%
Other Punctuation	44	12.8%
Dash Punctuation	25	7.3%
Space Separator	10	2.9%
Open Punctuation	9	2.6%
Close Punctuation	9	2.6%
Other Symbol	1	0.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
실	4	7.1%
방	2	3.6%
터	2	3.6%
료	2	3.6%
자	2	3.6%
사	2	3.6%
화	2	3.6%
문	2	3.6%
스	2	3.6%
교	1	1.8%
Other values (35)	35	62.5%

Decimal Number

Value	Count	Frequency (%)
3	27	14.3%
1	27	14.3%
2	27	14.3%
5	21	11.1%
4	20	10.6%
8	20	10.6%
6	15	7.9%
7	13	6.9%
9	12	6.3%
0	7	3.7%

Other Punctuation

Value	Count	Frequency (%)
.	36	81.8%
,	8	18.2%

Dash Punctuation

Value	Count	Frequency (%)
-	25	100.0%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	9	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	9	100.0%

Other Symbol

Value	Count	Frequency (%)
○	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	287	83.7%
Hangul	56	16.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
실	4	7.1%
방	2	3.6%
터	2	3.6%
료	2	3.6%
자	2	3.6%
사	2	3.6%
화	2	3.6%
문	2	3.6%
스	2	3.6%
교	1	1.8%
Other values (35)	35	62.5%

Common

Value	Count	Frequency (%)
.	36	12.5%
3	27	9.4%
1	27	9.4%
2	27	9.4%
-	25	8.7%
5	21	7.3%
4	20	7.0%
8	20	7.0%
6	15	5.2%
7	13	4.5%
Other values (7)	56	19.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	286	83.4%
Hangul	56	16.3%
Geometric Shapes	1	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	36	12.6%
3	27	9.4%
1	27	9.4%
2	27	9.4%
-	25	8.7%
5	21	7.3%
4	20	7.0%
8	20	7.0%
6	15	5.2%
7	13	4.5%
Other values (6)	55	19.2%

Hangul

Value	Count	Frequency (%)
실	4	7.1%
방	2	3.6%
터	2	3.6%
료	2	3.6%
자	2	3.6%
사	2	3.6%
화	2	3.6%
문	2	3.6%
스	2	3.6%
교	1	1.8%
Other values (35)	35	62.5%

Geometric Shapes

Value	Count	Frequency (%)
○	1	100.0%

intnt_booth_aea
Text

MISSING

Distinct	55
Distinct (%)	67.1%
Missing	18
Missing (%)	18.0%
Memory size	932.0 B

Length

Max length	11
Median length	6
Mean length	2.597561
Min length	1

Characters and Unicode

Total characters	213
Distinct characters	23
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	51 ?
Unique (%)	62.2%

Sample

1st row	29
2nd row	-
3rd row	28.69
4th row	-
5th row	125.6

Value	Count	Frequency (%)
	25	30.5%
30	2	2.4%
○	2	2.4%
14	2	2.4%
6.6	1	1.2%
29	1	1.2%
51	1	1.2%
28.1	1	1.2%
31.04	1	1.2%
40.75	1	1.2%
Other values (45)	45	54.9%

Most occurring characters

Value	Count	Frequency (%)
.	26	12.2%
-	25	11.7%
2	24	11.3%
1	21	9.9%
6	19	8.9%
3	17	8.0%
5	14	6.6%
4	12	5.6%
0	11	5.2%
9	11	5.2%
Other values (13)	33	15.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	147	69.0%
Other Punctuation	28	13.1%
Dash Punctuation	25	11.7%
Other Letter	9	4.2%
Other Symbol	2	0.9%
Open Punctuation	1	0.5%
Close Punctuation	1	0.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	24	16.3%
1	21	14.3%
6	19	12.9%
3	17	11.6%
5	14	9.5%
4	12	8.2%
0	11	7.5%
9	11	7.5%
8	9	6.1%
7	9	6.1%

Other Letter

Value	Count	Frequency (%)
석	3	33.3%
평	1	11.1%
정	1	11.1%
보	1	11.1%
이	1	11.1%
용	1	11.1%
실	1	11.1%

Other Punctuation

Value	Count	Frequency (%)
.	26	92.9%
,	2	7.1%

Dash Punctuation

Value	Count	Frequency (%)
-	25	100.0%

Other Symbol

Value	Count	Frequency (%)
○	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	204	95.8%
Hangul	9	4.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	26	12.7%
-	25	12.3%
2	24	11.8%
1	21	10.3%
6	19	9.3%
3	17	8.3%
5	14	6.9%
4	12	5.9%
0	11	5.4%
9	11	5.4%
Other values (6)	24	11.8%

Hangul

Value	Count	Frequency (%)
석	3	33.3%
평	1	11.1%
정	1	11.1%
보	1	11.1%
이	1	11.1%
용	1	11.1%
실	1	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	202	94.8%
Hangul	9	4.2%
Geometric Shapes	2	0.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	26	12.9%
-	25	12.4%
2	24	11.9%
1	21	10.4%
6	19	9.4%
3	17	8.4%
5	14	6.9%
4	12	5.9%
0	11	5.4%
9	11	5.4%
Other values (5)	22	10.9%

Hangul

Value	Count	Frequency (%)
석	3	33.3%
평	1	11.1%
정	1	11.1%
보	1	11.1%
이	1	11.1%
용	1	11.1%
실	1	11.1%

Geometric Shapes

Value	Count	Frequency (%)
○	2	100.0%

av_booth_aea
Text

MISSING

Distinct	42
Distinct (%)	51.9%
Missing	19
Missing (%)	19.0%
Memory size	932.0 B

Length

Max length	10
Median length	6
Mean length	2.4320988
Min length	1

Characters and Unicode

Total characters	197
Distinct characters	22
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	40 ?
Unique (%)	49.4%

Sample

1st row	34
2nd row	-
3rd row	36.46
4th row	-
5th row	97.1

Value	Count	Frequency (%)
	38	46.9%
9.9	3	3.7%
49.6	1	1.2%
40,(영화감상실	1	1.2%
10석	1	1.2%
32.3	1	1.2%
72	1	1.2%
38.68	1	1.2%
35	1	1.2%
21.77	1	1.2%
Other values (32)	32	39.5%

Most occurring characters

Value	Count	Frequency (%)
-	38	19.3%
.	26	13.2%
2	19	9.6%
1	16	8.1%
9	15	7.6%
3	15	7.6%
4	12	6.1%
7	11	5.6%
0	9	4.6%
6	9	4.6%
Other values (12)	27	13.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	122	61.9%
Dash Punctuation	38	19.3%
Other Punctuation	28	14.2%
Other Letter	7	3.6%
Open Punctuation	1	0.5%
Close Punctuation	1	0.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	19	15.6%
1	16	13.1%
9	15	12.3%
3	15	12.3%
4	12	9.8%
7	11	9.0%
0	9	7.4%
6	9	7.4%
8	9	7.4%
5	7	5.7%

Other Letter

Value	Count	Frequency (%)
영	1	14.3%
화	1	14.3%
감	1	14.3%
상	1	14.3%
실	1	14.3%
석	1	14.3%
평	1	14.3%

Other Punctuation

Value	Count	Frequency (%)
.	26	92.9%
,	2	7.1%

Dash Punctuation

Value	Count	Frequency (%)
-	38	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	190	96.4%
Hangul	7	3.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	38	20.0%
.	26	13.7%
2	19	10.0%
1	16	8.4%
9	15	7.9%
3	15	7.9%
4	12	6.3%
7	11	5.8%
0	9	4.7%
6	9	4.7%
Other values (5)	20	10.5%

Hangul

Value	Count	Frequency (%)
영	1	14.3%
화	1	14.3%
감	1	14.3%
상	1	14.3%
실	1	14.3%
석	1	14.3%
평	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	190	96.4%
Hangul	7	3.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	38	20.0%
.	26	13.7%
2	19	10.0%
1	16	8.4%
9	15	7.9%
3	15	7.9%
4	12	6.3%
7	11	5.8%
0	9	4.7%
6	9	4.7%
Other values (5)	20	10.5%

Hangul

Value	Count	Frequency (%)
영	1	14.3%
화	1	14.3%
감	1	14.3%
상	1	14.3%
실	1	14.3%
석	1	14.3%
평	1	14.3%

cd_booth_aea
Categorical

Distinct	34
Distinct (%)	34.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

-	47
<NA>	18
0	2
15	2
9.9	2
Other values (29)	29

Length

Max length	6
Median length	5.5
Mean length	2.31
Min length	1

Unique

Unique	29 ?
Unique (%)	29.0%

Sample

1st row	31
2nd row	<NA>
3rd row	-
4th row	33.06
5th row	-

Common Values

Value	Count	Frequency (%)
-	47	47.0%
<NA>	18	18.0%
0	2	2.0%
15	2	2.0%
9.9	2	2.0%
46	1	1.0%
28	1	1.0%
70.4	1	1.0%
14	1	1.0%
2.42	1	1.0%
Other values (24)	24	24.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	47	47.0%
na	18	18.0%
0	2	2.0%
15	2	2.0%
9.9	2	2.0%
30.52	1	1.0%
17	1	1.0%
45.6	1	1.0%
4석	1	1.0%
5	1	1.0%
Other values (24)	24	24.0%

data_booth_aea
Text

MISSING

Distinct	44
Distinct (%)	52.4%
Missing	16
Missing (%)	16.0%
Memory size	932.0 B

Length

Max length	10
Median length	6
Mean length	2.5119048
Min length	1

Characters and Unicode

Total characters	211
Distinct characters	23
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	39 ?
Unique (%)	46.4%

Sample

1st row	22
2nd row	43.8
3rd row	40.03
4th row	-
5th row	66.1

Value	Count	Frequency (%)
	36	42.4%
15	3	3.5%
20	2	2.4%
33	2	2.4%
○	2	2.4%
내외작은도서관	1	1.2%
22	1	1.2%
43	1	1.2%
14.35	1	1.2%
60	1	1.2%
Other values (35)	35	41.2%

Most occurring characters

Value	Count	Frequency (%)
-	36	17.1%
1	26	12.3%
.	25	11.8%
3	20	9.5%
2	17	8.1%
5	16	7.6%
4	13	6.2%
6	12	5.7%
8	10	4.7%
0	10	4.7%
Other values (13)	26	12.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	138	65.4%
Dash Punctuation	36	17.1%
Other Punctuation	26	12.3%
Other Letter	8	3.8%
Other Symbol	2	0.9%
Space Separator	1	0.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	26	18.8%
3	20	14.5%
2	17	12.3%
5	16	11.6%
4	13	9.4%
6	12	8.7%
8	10	7.2%
0	10	7.2%
9	8	5.8%
7	6	4.3%

Other Letter

Value	Count	Frequency (%)
평	1	12.5%
내	1	12.5%
외	1	12.5%
작	1	12.5%
은	1	12.5%
도	1	12.5%
서	1	12.5%
관	1	12.5%

Other Punctuation

Value	Count	Frequency (%)
.	25	96.2%
,	1	3.8%

Dash Punctuation

Value	Count	Frequency (%)
-	36	100.0%

Other Symbol

Value	Count	Frequency (%)
○	2	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	203	96.2%
Hangul	8	3.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	36	17.7%
1	26	12.8%
.	25	12.3%
3	20	9.9%
2	17	8.4%
5	16	7.9%
4	13	6.4%
6	12	5.9%
8	10	4.9%
0	10	4.9%
Other values (5)	18	8.9%

Hangul

Value	Count	Frequency (%)
평	1	12.5%
내	1	12.5%
외	1	12.5%
작	1	12.5%
은	1	12.5%
도	1	12.5%
서	1	12.5%
관	1	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	201	95.3%
Hangul	8	3.8%
Geometric Shapes	2	0.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	36	17.9%
1	26	12.9%
.	25	12.4%
3	20	10.0%
2	17	8.5%
5	16	8.0%
4	13	6.5%
6	12	6.0%
8	10	5.0%
0	10	5.0%
Other values (4)	16	8.0%

Geometric Shapes

Value	Count	Frequency (%)
○	2	100.0%

Hangul

Value	Count	Frequency (%)
평	1	12.5%
내	1	12.5%
외	1	12.5%
작	1	12.5%
은	1	12.5%
도	1	12.5%
서	1	12.5%
관	1	12.5%

rst_ply_rum_aea
Text

MISSING

Distinct	43
Distinct (%)	51.2%
Missing	16
Missing (%)	16.0%
Memory size	932.0 B

Length

Max length	12
Median length	1
Mean length	2.547619
Min length	1

Characters and Unicode

Total characters	214
Distinct characters	27
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	41 ?
Unique (%)	48.8%

Sample

1st row	-
2nd row	21.9
3rd row	17.85
4th row	-
5th row	39.7

Value	Count	Frequency (%)
	42	50.0%
20	2	2.4%
3,3평	1	1.2%
101.4	1	1.2%
21.12	1	1.2%
16	1	1.2%
126	1	1.2%
34.05	1	1.2%
267.2	1	1.2%
132	1	1.2%
Other values (32)	32	38.1%

Most occurring characters

Value	Count	Frequency (%)
-	41	19.2%
1	26	12.1%
.	24	11.2%
3	20	9.3%
2	18	8.4%
8	12	5.6%
7	11	5.1%
6	10	4.7%
5	10	4.7%
9	9	4.2%
Other values (17)	33	15.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132	61.7%
Dash Punctuation	41	19.2%
Other Punctuation	27	12.6%
Other Letter	10	4.7%
Connector Punctuation	1	0.5%
Close Punctuation	1	0.5%
Open Punctuation	1	0.5%
Other Symbol	1	0.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	26	19.7%
3	20	15.2%
2	18	13.6%
8	12	9.1%
7	11	8.3%
6	10	7.6%
5	10	7.6%
9	9	6.8%
0	9	6.8%
4	7	5.3%

Other Letter

Value	Count	Frequency (%)
랑	1	10.0%
사	1	10.0%
화	1	10.0%
문	1	10.0%
평	1	10.0%
공	1	10.0%
간	1	10.0%
린	1	10.0%
열	1	10.0%
방	1	10.0%

Other Punctuation

Value	Count	Frequency (%)
.	24	88.9%
,	3	11.1%

Dash Punctuation

Value	Count	Frequency (%)
-	41	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Other Symbol

Value	Count	Frequency (%)
○	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	204	95.3%
Hangul	10	4.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	41	20.1%
1	26	12.7%
.	24	11.8%
3	20	9.8%
2	18	8.8%
8	12	5.9%
7	11	5.4%
6	10	4.9%
5	10	4.9%
9	9	4.4%
Other values (7)	23	11.3%

Hangul

Value	Count	Frequency (%)
랑	1	10.0%
사	1	10.0%
화	1	10.0%
문	1	10.0%
평	1	10.0%
공	1	10.0%
간	1	10.0%
린	1	10.0%
열	1	10.0%
방	1	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	203	94.9%
Hangul	10	4.7%
Geometric Shapes	1	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	41	20.2%
1	26	12.8%
.	24	11.8%
3	20	9.9%
2	18	8.9%
8	12	5.9%
7	11	5.4%
6	10	4.9%
5	10	4.9%
9	9	4.4%
Other values (6)	22	10.8%

Hangul

Value	Count	Frequency (%)
랑	1	10.0%
사	1	10.0%
화	1	10.0%
문	1	10.0%
평	1	10.0%
공	1	10.0%
간	1	10.0%
린	1	10.0%
열	1	10.0%
방	1	10.0%

Geometric Shapes

Value	Count	Frequency (%)
○	1	100.0%

info_dsk_aea
Categorical

Distinct	42
Distinct (%)	42.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

-	36
<NA>	16
10	3
16.5	2
24	2
Other values (37)	41

Length

Max length	6
Median length	5
Mean length	2.41
Min length	1

Unique

Unique	33 ?
Unique (%)	33.0%

Sample

1st row	-
2nd row	<NA>
3rd row	12
4th row	37.92
5th row	-

Common Values

Value	Count	Frequency (%)
-	36	36.0%
<NA>	16	16.0%
10	3	3.0%
16.5	2	2.0%
24	2	2.0%
5	2	2.0%
13	2	2.0%
○	2	2.0%
1석	2	2.0%
234.6	1	1.0%
Other values (32)	32	32.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	36	36.0%
na	16	16.0%
10	3	3.0%
16.5	2	2.0%
24	2	2.0%
5	2	2.0%
13	2	2.0%
○	2	2.0%
1석	2	2.0%
6.6	1	1.0%
Other values (32)	32	32.0%

etc_aea
Text

MISSING

Distinct	47
Distinct (%)	55.3%
Missing	15
Missing (%)	15.0%
Memory size	932.0 B

Length

Max length	13
Median length	7
Mean length	2.8823529
Min length	1

Characters and Unicode

Total characters	245
Distinct characters	27
Distinct categories	7 ?
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	45 ?
Unique (%)	52.9%

Sample

1st row	-
2nd row	203.5
3rd row	173.06
4th row	-
5th row	254.5

Value	Count	Frequency (%)
	38	43.2%
10	2	2.3%
245.26	1	1.1%
132.6	1	1.1%
33	1	1.1%
9.9	1	1.1%
177	1	1.1%
94.9	1	1.1%
36	1	1.1%
200	1	1.1%
Other values (40)	40	45.5%

Most occurring characters

Value	Count	Frequency (%)
-	38	15.5%
.	26	10.6%
3	25	10.2%
6	22	9.0%
1	22	9.0%
2	20	8.2%
4	17	6.9%
0	12	4.9%
5	12	4.9%
7	12	4.9%
Other values (17)	39	15.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	162	66.1%
Dash Punctuation	38	15.5%
Other Punctuation	29	11.8%
Other Letter	11	4.5%
Space Separator	3	1.2%
Close Punctuation	1	0.4%
Open Punctuation	1	0.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
외	1	9.1%
스	1	9.1%
헬	1	9.1%
당	1	9.1%
강	1	9.1%
실	1	9.1%
련	1	9.1%
단	1	9.1%
력	1	9.1%
체	1	9.1%

Decimal Number

Value	Count	Frequency (%)
3	25	15.4%
6	22	13.6%
1	22	13.6%
2	20	12.3%
4	17	10.5%
0	12	7.4%
5	12	7.4%
7	12	7.4%
9	10	6.2%
8	10	6.2%

Other Punctuation

Value	Count	Frequency (%)
.	26	89.7%
,	3	10.3%

Dash Punctuation

Value	Count	Frequency (%)
-	38	100.0%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	234	95.5%
Hangul	11	4.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	38	16.2%
.	26	11.1%
3	25	10.7%
6	22	9.4%
1	22	9.4%
2	20	8.5%
4	17	7.3%
0	12	5.1%
5	12	5.1%
7	12	5.1%
Other values (6)	28	12.0%

Hangul

Value	Count	Frequency (%)
외	1	9.1%
스	1	9.1%
헬	1	9.1%
당	1	9.1%
강	1	9.1%
실	1	9.1%
련	1	9.1%
단	1	9.1%
력	1	9.1%
체	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	234	95.5%
Hangul	11	4.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	38	16.2%
.	26	11.1%
3	25	10.7%
6	22	9.4%
1	22	9.4%
2	20	8.5%
4	17	7.3%
0	12	5.1%
5	12	5.1%
7	12	5.1%
Other values (6)	28	12.0%