gimi9 Pandas Profiling

Dataset statistics

Number of variables	18
Number of observations	5320
Missing cells	20340
Missing cells (%)	21.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	758.6 KiB
Average record size in memory	146.0 B

Variable types

Numeric	1
Text	9
Categorical	3
DateTime	2
Boolean	2
Unsupported	1

Dataset

Description	2021-03-01
Author	부산시공공데이터포털
URL	https://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901061501223000

Alerts

`last_load_dttm` has constant value ""	Constant
`cp_email` is highly overall correlated with `cp_class` and 2 other fields	High correlation
`cp_emailflag` is highly overall correlated with `cp_email`	High correlation
`cp_class` is highly overall correlated with `cp_email`	High correlation
`cp_webflag` is highly overall correlated with `cp_email`	High correlation
`cp_email` is highly imbalanced (92.3%)	Imbalance
`cp_emailflag` is highly imbalanced (63.5%)	Imbalance
`cp_home` has 5147 (96.7%) missing values	Missing
`cp_sanum` has 2845 (53.5%) missing values	Missing
`cp_info` has 1692 (31.8%) missing values	Missing
`cp_state` has 5320 (100.0%) missing values	Missing
`cp_img` has 5308 (99.8%) missing values	Missing
`skey` has unique values	Unique
`cp_state` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2024-04-16 13:23:58.299638
Analysis finished	2024-04-16 13:24:00.901448
Duration	2.6 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

skey
Real number (ℝ)

UNIQUE

Distinct	5320
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3315344.5

Minimum	3312685
Maximum	3318004
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.9 KiB

Quantile statistics

Minimum	3312685
5-th percentile	3312951
Q1	3314014.8
median	3315344.5
Q3	3316674.2
95-th percentile	3317738
Maximum	3318004
Range	5319
Interquartile range (IQR)	2659.5

Descriptive statistics

Standard deviation	1535.896
Coefficient of variation (CV)	0.00046326891
Kurtosis	-1.2
Mean	3315344.5
Median Absolute Deviation (MAD)	1330
Skewness	0
Sum	1.7637633 × 10¹⁰
Variance	2358976.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3317965	1	< 0.1%
3314444	1	< 0.1%
3314442	1	< 0.1%
3314441	1	< 0.1%
3314440	1	< 0.1%
3314439	1	< 0.1%
3314438	1	< 0.1%
3314437	1	< 0.1%
3314436	1	< 0.1%
3314435	1	< 0.1%
Other values (5310)	5310	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3312685	1	< 0.1%
3312686	1	< 0.1%
3312687	1	< 0.1%
3312688	1	< 0.1%
3312689	1	< 0.1%
3312690	1	< 0.1%
3312691	1	< 0.1%
3312692	1	< 0.1%
3312693	1	< 0.1%
3312694	1	< 0.1%

Value	Count	Frequency (%)
3318004	1	< 0.1%
3318003	1	< 0.1%
3318002	1	< 0.1%
3318001	1	< 0.1%
3318000	1	< 0.1%
3317999	1	< 0.1%
3317998	1	< 0.1%
3317997	1	< 0.1%
3317996	1	< 0.1%
3317995	1	< 0.1%

cp_compname
Text

Distinct	5053
Distinct (%)	95.0%
Missing	0
Missing (%)	0.0%
Memory size	41.7 KiB

Length

Max length	21
Median length	19
Mean length	6.6575188
Min length	1

Characters and Unicode

Total characters	35418
Distinct characters	807
Distinct categories	12 ?
Distinct scripts	4 ?
Distinct blocks	4 ?

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

Unique

Unique	4849 ?
Unique (%)	91.1%

Sample

1st row	웰메이드 사직점
2nd row	웰메이드 광안직영점
3rd row	용문각
4th row	키자니아 부산
5th row	센텀일신 소아청소년과

Value	Count	Frequency (%)
부산은행	284	4.3%
어린이집	184	2.8%
미용실	53	0.8%
부산	30	0.4%
주)파크랜드	24	0.4%
웰메이드	23	0.3%
아가방	17	0.3%
음악학원	15	0.2%
학원	14	0.2%
abc-mart	14	0.2%
Other values (5368)	6022	90.1%

Most occurring characters

Value	Count	Frequency (%)
	1373	3.9%
이	1350	3.8%
어	1255	3.5%
원	1121	3.2%
집	1094	3.1%
린	946	2.7%
산	619	1.7%
점	579	1.6%
부	556	1.6%
의	533	1.5%
Other values (797)	25992	73.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	33174	93.7%
Space Separator	1373	3.9%
Uppercase Letter	404	1.1%
Decimal Number	144	0.4%
Close Punctuation	101	0.3%
Open Punctuation	100	0.3%
Lowercase Letter	64	0.2%
Other Punctuation	28	0.1%
Dash Punctuation	26	0.1%
Math Symbol	2	< 0.1%
Other values (2)	2	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
이	1350	4.1%
어	1255	3.8%
원	1121	3.4%
집	1094	3.3%
린	946	2.9%
산	619	1.9%
점	579	1.7%
부	556	1.7%
의	533	1.6%
미	466	1.4%
Other values (732)	24655	74.3%

Uppercase Letter

Value	Count	Frequency (%)
A	53	13.1%
B	41	10.1%
T	38	9.4%
M	37	9.2%
C	36	8.9%
S	29	7.2%
K	27	6.7%
G	22	5.4%
L	20	5.0%
R	19	4.7%
Other values (13)	82	20.3%

Lowercase Letter

Value	Count	Frequency (%)
o	10	15.6%
e	8	12.5%
i	6	9.4%
n	6	9.4%
t	5	7.8%
s	4	6.2%
y	3	4.7%
d	3	4.7%
c	3	4.7%
m	3	4.7%
Other values (8)	13	20.3%

Decimal Number

Value	Count	Frequency (%)
2	44	30.6%
1	40	27.8%
0	17	11.8%
3	14	9.7%
5	8	5.6%
7	8	5.6%
8	6	4.2%
4	5	3.5%
6	1	0.7%
9	1	0.7%

Other Punctuation

Value	Count	Frequency (%)
&	10	35.7%
.	8	28.6%
,	6	21.4%
·	2	7.1%
!	1	3.6%
'	1	3.6%

Math Symbol

Value	Count	Frequency (%)
~	1	50.0%
+	1	50.0%

Space Separator

Value	Count	Frequency (%)
	1373	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	101	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	100	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	26	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	33169	93.7%
Common	1775	5.0%
Latin	468	1.3%
Han	6	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
이	1350	4.1%
어	1255	3.8%
원	1121	3.4%
집	1094	3.3%
린	946	2.9%
산	619	1.9%
점	579	1.7%
부	556	1.7%
의	533	1.6%
미	466	1.4%
Other values (727)	24650	74.3%

Latin

Value	Count	Frequency (%)
A	53	11.3%
B	41	8.8%
T	38	8.1%
M	37	7.9%
C	36	7.7%
S	29	6.2%
K	27	5.8%
G	22	4.7%
L	20	4.3%
R	19	4.1%
Other values (31)	146	31.2%

Common

Value	Count	Frequency (%)
	1373	77.4%
)	101	5.7%
(	100	5.6%
2	44	2.5%
1	40	2.3%
-	26	1.5%
0	17	1.0%
3	14	0.8%
&	10	0.6%
.	8	0.5%
Other values (13)	42	2.4%

Han

Value	Count	Frequency (%)
珍	1	16.7%
美	1	16.7%
多	1	16.7%
孝	1	16.7%
裵	1	16.7%
秀	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	33168	93.6%
ASCII	2241	6.3%
CJK	6	< 0.1%
None	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1373	61.3%
)	101	4.5%
(	100	4.5%
A	53	2.4%
2	44	2.0%
B	41	1.8%
1	40	1.8%
T	38	1.7%
M	37	1.7%
C	36	1.6%
Other values (53)	378	16.9%

Hangul

Value	Count	Frequency (%)
이	1350	4.1%
어	1255	3.8%
원	1121	3.4%
집	1094	3.3%
린	946	2.9%
산	619	1.9%
점	579	1.7%
부	556	1.7%
의	533	1.6%
미	466	1.4%
Other values (726)	24649	74.3%

None

Value	Count	Frequency (%)
·	2	66.7%
㈜	1	33.3%

CJK

Value	Count	Frequency (%)
珍	1	16.7%
美	1	16.7%
多	1	16.7%
孝	1	16.7%
裵	1	16.7%
秀	1	16.7%

cp_home
Text

MISSING

Distinct	92
Distinct (%)	53.2%
Missing	5147
Missing (%)	96.7%
Memory size	41.7 KiB

Length

Max length	43
Median length	33
Mean length	17.462428
Min length	1

Characters and Unicode

Total characters	3021
Distinct characters	53
Distinct categories	8 ?
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	82 ?
Unique (%)	47.4%

Sample

1st row	www.parkland.co.kr
2nd row	www.jcb.co.kr
3rd row	http://www.pulipchae.com
4th row	www.jongromschool.co.kr/
5th row	www.blueskytour.co.kr

Value	Count	Frequency (%)
www.parkland.co.kr	44	25.4%
www.vilac.co.kr	20	11.6%
	14	8.1%
www.inoti.co.kr	4	2.3%
www.wilshirekorea.co.kr	3	1.7%
www.balancebrain.co.kr	2	1.2%
www.kjc21.com	2	1.2%
http://www.pulipchae.com	2	1.2%
www.sjoptical.co.kr	1	0.6%
korea.mgchina.co.kr	1	0.6%
Other values (80)	80	46.2%

Most occurring characters

Value	Count	Frequency (%)
.	420	13.9%
w	382	12.6%
a	214	7.1%
r	209	6.9%
o	199	6.6%
c	183	6.1%
k	179	5.9%
n	134	4.4%
l	101	3.3%
i	84	2.8%
Other values (43)	916	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2352	77.9%
Other Punctuation	478	15.8%
Decimal Number	126	4.2%
Dash Punctuation	34	1.1%
Space Separator	17	0.6%
Other Letter	10	0.3%
Connector Punctuation	3	0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	382	16.2%
a	214	9.1%
r	209	8.9%
o	199	8.5%
c	183	7.8%
k	179	7.6%
n	134	5.7%
l	101	4.3%
i	84	3.6%
p	81	3.4%
Other values (15)	586	24.9%

Decimal Number

Value	Count	Frequency (%)
0	26	20.6%
2	21	16.7%
1	19	15.1%
3	11	8.7%
9	10	7.9%
5	10	7.9%
8	9	7.1%
6	8	6.3%
7	8	6.3%
4	4	3.2%

Other Letter

Value	Count	Frequency (%)
농	1	10.0%
축	1	10.0%
염	1	10.0%
전	1	10.0%
기	1	10.0%
레	1	10.0%
인	1	10.0%
지	1	10.0%
비	1	10.0%
증	1	10.0%

Other Punctuation

Value	Count	Frequency (%)
.	420	87.9%
/	51	10.7%
:	6	1.3%
?	1	0.2%

Dash Punctuation

Value	Count	Frequency (%)
-	34	100.0%

Space Separator

Value	Count	Frequency (%)
	17	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	3	100.0%

Math Symbol

Value	Count	Frequency (%)
=	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2352	77.9%
Common	659	21.8%
Hangul	10	0.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	382	16.2%
a	214	9.1%
r	209	8.9%
o	199	8.5%
c	183	7.8%
k	179	7.6%
n	134	5.7%
l	101	4.3%
i	84	3.6%
p	81	3.4%
Other values (15)	586	24.9%

Common

Value	Count	Frequency (%)
.	420	63.7%
/	51	7.7%
-	34	5.2%
0	26	3.9%
2	21	3.2%
1	19	2.9%
	17	2.6%
3	11	1.7%
9	10	1.5%
5	10	1.5%
Other values (8)	40	6.1%

Hangul

Value	Count	Frequency (%)
농	1	10.0%
축	1	10.0%
염	1	10.0%
전	1	10.0%
기	1	10.0%
레	1	10.0%
인	1	10.0%
지	1	10.0%
비	1	10.0%
증	1	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3011	99.7%
Hangul	10	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	420	13.9%
w	382	12.7%
a	214	7.1%
r	209	6.9%
o	199	6.6%
c	183	6.1%
k	179	5.9%
n	134	4.5%
l	101	3.4%
i	84	2.8%
Other values (33)	906	30.1%

Hangul

Value	Count	Frequency (%)
농	1	10.0%
축	1	10.0%
염	1	10.0%
전	1	10.0%
기	1	10.0%
레	1	10.0%
인	1	10.0%
지	1	10.0%
비	1	10.0%
증	1	10.0%

cp_class
Categorical

HIGH CORRELATION

Distinct	17
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	41.7 KiB

요식업등	1167
어린이집	915
학원	657
이미용업	543
병의원	401
Other values (12)	1637

Length

Max length	7
Median length	4
Mean length	3.4802632
Min length	2

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	기타
2nd row	기타
3rd row	요식업등
4th row	문화시설
5th row	병의원

Common Values

Value	Count	Frequency (%)
요식업등	1167	21.9%
어린이집	915	17.2%
학원	657	12.3%
이미용업	543	10.2%
병의원	401	7.5%
체육시설	330	6.2%
금융기관	288	5.4%
기타	279	5.2%
한의원	219	4.1%
안경	116	2.2%
Other values (7)	405	7.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
요식업등	1167	21.7%
어린이집	915	17.0%
학원	657	12.2%
이미용업	543	10.1%
병의원	401	7.5%
체육시설	330	6.1%
금융기관	288	5.4%
기타	279	5.2%
한의원	219	4.1%
안경	116	2.2%
Other values (8)	461	8.6%

cp_hgu
Categorical

Distinct	18
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	41.7 KiB

연제구	624
동래구	527
남구	513
부산진구	511
사하구	429
Other values (13)	2716

Length

Max length	4
Median length	3
Mean length	2.943609
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	동래구
2nd row	수영구
3rd row	남구
4th row	해운대구
5th row	해운대구

Common Values

Value	Count	Frequency (%)
연제구	624	11.7%
동래구	527	9.9%
남구	513	9.6%
부산진구	511	9.6%
사하구	429	8.1%
수영구	421	7.9%
북구	405	7.6%
해운대구	378	7.1%
사상구	324	6.1%
금정구	285	5.4%
Other values (8)	903	17.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
연제구	624	11.7%
동래구	527	9.9%
남구	513	9.6%
부산진구	511	9.6%
사하구	429	8.1%
수영구	421	7.9%
북구	405	7.6%
해운대구	378	7.1%
사상구	324	6.1%
금정구	285	5.4%
Other values (8)	903	17.0%

cp_ceoname
Text

Distinct	4276
Distinct (%)	80.4%
Missing	0
Missing (%)	0.0%
Memory size	41.7 KiB

Length

Max length	10
Median length	3
Mean length	3.0093985
Min length	1

Characters and Unicode

Total characters	16010
Distinct characters	378
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	3794 ?
Unique (%)	71.3%

Sample

1st row	박순호
2nd row	박순호
3rd row	용문각
4th row	노혁진
5th row	정수진

Value	Count	Frequency (%)
이장호	236	4.4%
곽국민	44	0.8%
빈대인	31	0.6%
박순호	26	0.5%
박경수	22	0.4%
아가방	15	0.3%
김지완	10	0.2%
홈플러스	9	0.2%
차원천	8	0.1%
김영숙	8	0.1%
Other values (4279)	4929	92.3%

Most occurring characters

Value	Count	Frequency (%)
김	1041	6.5%
이	938	5.9%
정	672	4.2%
박	468	2.9%
영	467	2.9%
호	423	2.6%
장	348	2.2%
희	347	2.2%
순	334	2.1%
경	331	2.1%
Other values (368)	10641	66.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	15975	99.8%
Space Separator	18	0.1%
Decimal Number	10	0.1%
Other Punctuation	2	< 0.1%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
김	1041	6.5%
이	938	5.9%
정	672	4.2%
박	468	2.9%
영	467	2.9%
호	423	2.6%
장	348	2.2%
희	347	2.2%
순	334	2.1%
경	331	2.1%
Other values (359)	10606	66.4%

Decimal Number

Value	Count	Frequency (%)
1	5	50.0%
3	2	20.0%
2	2	20.0%
0	1	10.0%

Space Separator

Value	Count	Frequency (%)
	18	100.0%

Other Punctuation

Value	Count	Frequency (%)
·	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	15975	99.8%
Common	35	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
김	1041	6.5%
이	938	5.9%
정	672	4.2%
박	468	2.9%
영	467	2.9%
호	423	2.6%
장	348	2.2%
희	347	2.2%
순	334	2.1%
경	331	2.1%
Other values (359)	10606	66.4%

Common

Value	Count	Frequency (%)
	18	51.4%
1	5	14.3%
·	2	5.7%
(	2	5.7%
3	2	5.7%
)	2	5.7%
2	2	5.7%
-	1	2.9%
0	1	2.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	15975	99.8%
ASCII	33	0.2%
None	2	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
김	1041	6.5%
이	938	5.9%
정	672	4.2%
박	468	2.9%
영	467	2.9%
호	423	2.6%
장	348	2.2%
희	347	2.2%
순	334	2.1%
경	331	2.1%
Other values (359)	10606	66.4%

ASCII

Value	Count	Frequency (%)
	18	54.5%
1	5	15.2%
(	2	6.1%
3	2	6.1%
)	2	6.1%
2	2	6.1%
-	1	3.0%
0	1	3.0%

None

Value	Count	Frequency (%)
·	2	100.0%

cp_sanum
Text

MISSING

Distinct	52
Distinct (%)	2.1%
Missing	2845
Missing (%)	53.5%
Memory size	41.7 KiB

Length

Max length	14
Median length	1
Mean length	1.2076768
Min length	1

Characters and Unicode

Total characters	2989
Distinct characters	13
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	50 ?
Unique (%)	2.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	2423	97.9%
6068269370	2	0.1%
848-08-00198	1	< 0.1%
6052686822	1	< 0.1%
6189611320	1	< 0.1%
621-91-28405	1	< 0.1%
617-92-32625	1	< 0.1%
6079088870	1	< 0.1%
6189611465	1	< 0.1%
605-92-48314	1	< 0.1%
Other values (42)	42	1.7%

Most occurring characters

Value	Count	Frequency (%)
0	2509	83.9%
6	69	2.3%
1	57	1.9%
9	53	1.8%
2	52	1.7%
-	52	1.7%
8	44	1.5%
5	40	1.3%
7	38	1.3%
3	37	1.2%
Other values (3)	38	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2935	98.2%
Dash Punctuation	52	1.7%
Other Letter	2	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2509	85.5%
6	69	2.4%
1	57	1.9%
9	53	1.8%
2	52	1.8%
8	44	1.5%
5	40	1.4%
7	38	1.3%
3	37	1.3%
4	36	1.2%

Other Letter

Value	Count	Frequency (%)
폐	1	50.0%
업	1	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	52	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2987	99.9%
Hangul	2	0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2509	84.0%
6	69	2.3%
1	57	1.9%
9	53	1.8%
2	52	1.7%
-	52	1.7%
8	44	1.5%
5	40	1.3%
7	38	1.3%
3	37	1.2%

Hangul

Value	Count	Frequency (%)
폐	1	50.0%
업	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2987	99.9%
Hangul	2	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2509	84.0%
6	69	2.3%
1	57	1.9%
9	53	1.8%
2	52	1.7%
-	52	1.7%
8	44	1.5%
5	40	1.3%
7	38	1.3%
3	37	1.2%

Hangul

Value	Count	Frequency (%)
폐	1	50.0%
업	1	50.0%

cp_sidate
Date

Distinct	311
Distinct (%)	5.9%
Missing	6
Missing (%)	0.1%
Memory size	41.7 KiB

Minimum	2000-01-01 00:00:00
Maximum	2021-01-04 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

cp_addr
Text

Distinct	5159
Distinct (%)	97.4%
Missing	22
Missing (%)	0.4%
Memory size	41.7 KiB

Length

Max length	75
Median length	53
Mean length	24.588146
Min length	3

Characters and Unicode

Total characters	130268
Distinct characters	512
Distinct categories	10 ?
Distinct scripts	4 ?
Distinct blocks	4 ?

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

Unique

Unique	5062 ?
Unique (%)	95.5%

Sample

1st row	부산광역시 동래구 사직동 석사로 14 (사직동 1층)
2nd row	부산광역시 수영구 광안동 수영로 610
3rd row	부산광역시 남구 대연동 유엔평화로 대연1동 983-3
4th row	부산광역시 해운대구 우동 센텀남대로 키자니아 부산
5th row	부산광역시 해운대구 재송동 센텀동로 센텀필상가 2-201호

Value	Count	Frequency (%)
부산광역시	5307	20.0%
연제구	642	2.4%
동래구	553	2.1%
남구	523	2.0%
부산진구	522	2.0%
사하구	438	1.6%
수영구	432	1.6%
북구	416	1.6%
해운대구	391	1.5%
사상구	332	1.2%
Other values (5866)	17039	64.1%

Most occurring characters

Value	Count	Frequency (%)
	21767	16.7%
산	6538	5.0%
부	6161	4.7%
동	6149	4.7%
1	6066	4.7%
시	5621	4.3%
광	5528	4.2%
구	5486	4.2%
역	5330	4.1%
2	3685	2.8%
Other values (502)	57937	44.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	79249	60.8%
Decimal Number	25210	19.4%
Space Separator	21767	16.7%
Dash Punctuation	2612	2.0%
Open Punctuation	467	0.4%
Close Punctuation	466	0.4%
Other Punctuation	263	0.2%
Uppercase Letter	211	0.2%
Lowercase Letter	15	< 0.1%
Math Symbol	8	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
산	6538	8.2%
부	6161	7.8%
동	6149	7.8%
시	5621	7.1%
광	5528	7.0%
구	5486	6.9%
역	5330	6.7%
로	3334	4.2%
대	1639	2.1%
번	1506	1.9%
Other values (456)	31957	40.3%

Uppercase Letter

Value	Count	Frequency (%)
A	35	16.6%
T	26	12.3%
G	21	10.0%
P	20	9.5%
L	18	8.5%
S	16	7.6%
B	16	7.6%
K	14	6.6%
F	10	4.7%
C	8	3.8%
Other values (7)	27	12.8%

Decimal Number

Value	Count	Frequency (%)
1	6066	24.1%
2	3685	14.6%
3	2913	11.6%
4	2226	8.8%
0	2143	8.5%
5	1935	7.7%
6	1655	6.6%
8	1608	6.4%
7	1595	6.3%
9	1384	5.5%

Lowercase Letter

Value	Count	Frequency (%)
a	3	20.0%
e	3	20.0%
l	2	13.3%
g	2	13.3%
k	2	13.3%
s	2	13.3%
i	1	6.7%

Other Punctuation

Value	Count	Frequency (%)
,	126	47.9%
@	89	33.8%
.	27	10.3%
/	18	6.8%
?	2	0.8%
&	1	0.4%

Math Symbol

Value	Count	Frequency (%)
~	7	87.5%
+	1	12.5%

Space Separator

Value	Count	Frequency (%)
	21767	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2612	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	467	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	466	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	79247	60.8%
Common	50793	39.0%
Latin	226	0.2%
Han	2	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
산	6538	8.3%
부	6161	7.8%
동	6149	7.8%
시	5621	7.1%
광	5528	7.0%
구	5486	6.9%
역	5330	6.7%
로	3334	4.2%
대	1639	2.1%
번	1506	1.9%
Other values (454)	31955	40.3%

Latin

Value	Count	Frequency (%)
A	35	15.5%
T	26	11.5%
G	21	9.3%
P	20	8.8%
L	18	8.0%
S	16	7.1%
B	16	7.1%
K	14	6.2%
F	10	4.4%
C	8	3.5%
Other values (14)	42	18.6%

Common

Value	Count	Frequency (%)
	21767	42.9%
1	6066	11.9%
2	3685	7.3%
3	2913	5.7%
-	2612	5.1%
4	2226	4.4%
0	2143	4.2%
5	1935	3.8%
6	1655	3.3%
8	1608	3.2%
Other values (12)	4183	8.2%

Han

Value	Count	Frequency (%)
內	1	50.0%
箚	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	79243	60.8%
ASCII	51019	39.2%
Compat Jamo	4	< 0.1%
CJK	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	21767	42.7%
1	6066	11.9%
2	3685	7.2%
3	2913	5.7%
-	2612	5.1%
4	2226	4.4%
0	2143	4.2%
5	1935	3.8%
6	1655	3.2%
8	1608	3.2%
Other values (36)	4409	8.6%

Hangul

Value	Count	Frequency (%)
산	6538	8.3%
부	6161	7.8%
동	6149	7.8%
시	5621	7.1%
광	5528	7.0%
구	5486	6.9%
역	5330	6.7%
로	3334	4.2%
대	1639	2.1%
번	1506	1.9%
Other values (452)	31951	40.3%

Compat Jamo

Value	Count	Frequency (%)
ㄴ	3	75.0%
ㅁ	1	25.0%

CJK

Value	Count	Frequency (%)
內	1	50.0%
箚	1	50.0%

cp_tel
Text

Distinct	5114
Distinct (%)	96.1%
Missing	0
Missing (%)	0.0%
Memory size	41.7 KiB

Length

Max length	14
Median length	12
Mean length	12.031391
Min length	11

Characters and Unicode

Total characters	64007
Distinct characters	18
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	4933 ?
Unique (%)	92.7%

Sample

1st row	051-502-5822
2nd row	051-756-4575
3rd row	051-627-2616
4th row	051-1544-5110
5th row	051-782-0002

Value	Count	Frequency (%)
051-000-0000	15	0.3%
051-810-3941	6	0.1%
051	4	0.1%
051-506-2771	4	0.1%
051-523-7730	3	0.1%
051-781-1123	3	0.1%
051-0000-0000	3	0.1%
051-851-8845	3	0.1%
051-754-9797	3	0.1%
051-000-000	3	0.1%
Other values (5105)	5276	99.1%

Most occurring characters

Value	Count	Frequency (%)
-	10644	16.6%
5	9939	15.5%
0	9416	14.7%
1	8749	13.7%
2	4520	7.1%
3	4107	6.4%
6	3793	5.9%
7	3689	5.8%
8	3547	5.5%
4	3150	4.9%
Other values (8)	2453	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	53333	83.3%
Dash Punctuation	10644	16.6%
Other Punctuation	22	< 0.1%
Other Letter	4	< 0.1%
Space Separator	3	< 0.1%
Modifier Symbol	1	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	9939	18.6%
0	9416	17.7%
1	8749	16.4%
2	4520	8.5%
3	4107	7.7%
6	3793	7.1%
7	3689	6.9%
8	3547	6.7%
4	3150	5.9%
9	2423	4.5%

Other Letter

Value	Count	Frequency (%)
대	1	25.0%
표	1	25.0%
전	1	25.0%
화	1	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	10644	100.0%

Other Punctuation

Value	Count	Frequency (%)
*	22	100.0%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64003	> 99.9%
Hangul	4	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	10644	16.6%
5	9939	15.5%
0	9416	14.7%
1	8749	13.7%
2	4520	7.1%
3	4107	6.4%
6	3793	5.9%
7	3689	5.8%
8	3547	5.5%
4	3150	4.9%
Other values (4)	2449	3.8%

Hangul

Value	Count	Frequency (%)
대	1	25.0%
표	1	25.0%
전	1	25.0%
화	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64003	> 99.9%
Hangul	4	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	10644	16.6%
5	9939	15.5%
0	9416	14.7%
1	8749	13.7%
2	4520	7.1%
3	4107	6.4%
6	3793	5.9%
7	3689	5.8%
8	3547	5.5%
4	3150	4.9%
Other values (4)	2449	3.8%

Hangul

Value	Count	Frequency (%)
대	1	25.0%
표	1	25.0%
전	1	25.0%
화	1	25.0%

cp_email
Categorical

HIGH CORRELATION IMBALANCE

Distinct	24
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	41.7 KiB

<NA>	5022
	274
hush0892@gmail.com	2
bgjahwal@hanmail.net	2
waterbag@naver.com	1
Other values (19)	19

Length

Max length	24
Median length	4
Mean length	3.9095865
Min length	1

Unique

Unique	20 ?
Unique (%)	0.4%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	5022	94.4%
	274	5.2%
hush0892@gmail.com	2	< 0.1%
bgjahwal@hanmail.net	2	< 0.1%
waterbag@naver.com	1	< 0.1%
kmc623@gmail.com	1	< 0.1%
kjhy96@hanmail.net	1	< 0.1%
babycoolcool@hanmail.net	1	< 0.1%
subcho@naver.com	1	< 0.1%
sdinsun@gmail.com	1	< 0.1%
Other values (14)	14	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	5022	99.5%
bgjahwal@hanmail.net	2	< 0.1%
hush0892@gmail.com	2	< 0.1%
allright2875@naver.com	1	< 0.1%
korea@mgchina.co.kr	1	< 0.1%
wjdrlwh77@oanmail.net	1	< 0.1%
baromain1@naver.com	1	< 0.1%
na12102	1	< 0.1%
sudenn1@hanmail.net	1	< 0.1%
jysschool@dreamwiz.com	1	< 0.1%
Other values (13)	13	0.3%

cp_emailflag
Boolean

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.3 KiB

True	4949
False	371

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	4949	93.0%
False	371	7.0%

cp_info
Text

MISSING

Distinct	153
Distinct (%)	4.2%
Missing	1692
Missing (%)	31.8%
Memory size	41.7 KiB

Length

Max length	766
Median length	1
Mean length	17.796858
Min length	1

Characters and Unicode

Total characters	64567
Distinct characters	592
Distinct categories	13 ?
Distinct scripts	3 ?
Distinct blocks	7 ?

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

Unique

Unique	127 ?
Unique (%)	3.5%

Sample

1st row
2nd row
3rd row	* 직업체험 테마파크
4th row
5th row

Value	Count	Frequency (%)
체육관	1090	11.9%
style="margin-left	1003	11.0%
40px	658	7.2%
p	548	6.0%
중	546	6.0%
다자녀가정	546	6.0%
소속	545	6.0%
희망	545	6.0%
우대	545	6.0%
참여p	479	5.2%
Other values (1354)	2629	28.8%

Most occurring characters

Value	Count	Frequency (%)
	12835	19.9%
T	2565	4.0%
P	2095	3.2%
"	2094	3.2%
E	2077	3.2%
L	2063	3.2%
G	1493	2.3%
0	1130	1.8%
육	1116	1.7%
체	1111	1.7%
Other values (582)	35988	55.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	22127	34.3%
Uppercase Letter	19930	30.9%
Space Separator	12835	19.9%
Other Punctuation	4114	6.4%
Decimal Number	2409	3.7%
Math Symbol	1972	3.1%
Dash Punctuation	1061	1.6%
Open Punctuation	48	0.1%
Close Punctuation	47	0.1%
Modifier Symbol	18	< 0.1%
Other values (3)	6	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
육	1116	5.0%
체	1111	5.0%
관	1108	5.0%
다	674	3.0%
가	621	2.8%
부	603	2.7%
시	598	2.7%
자	595	2.7%
정	593	2.7%
대	590	2.7%
Other values (523)	14518	65.6%

Uppercase Letter

Value	Count	Frequency (%)
T	2565	12.9%
P	2095	10.5%
E	2077	10.4%
L	2063	10.4%
G	1493	7.5%
S	1089	5.5%
N	1068	5.4%
A	1066	5.3%
I	1051	5.3%
R	1047	5.3%
Other values (14)	4316	21.7%

Other Punctuation

Value	Count	Frequency (%)
"	2094	50.9%
:	1045	25.4%
;	600	14.6%
.	170	4.1%
,	119	2.9%
/	42	1.0%
%	22	0.5%
!	11	0.3%
#	6	0.1%
*	3	0.1%

Decimal Number

Value	Count	Frequency (%)
0	1130	46.9%
4	1028	42.7%
1	66	2.7%
2	48	2.0%
5	37	1.5%
3	35	1.5%
9	21	0.9%
8	20	0.8%
6	14	0.6%
7	10	0.4%

Math Symbol

Value	Count	Frequency (%)
=	1047	53.1%
>	655	33.2%
<	261	13.2%
~	7	0.4%
×	1	0.1%
→	1	0.1%

Space Separator

Value	Count	Frequency (%)
	12835	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1061	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	48	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	47	100.0%

Modifier Symbol

Value	Count	Frequency (%)
^	18	100.0%

Format

Value	Count	Frequency (%)
	4	100.0%

Other Number

Value	Count	Frequency (%)
²	1	100.0%

Other Symbol

Value	Count	Frequency (%)
㎡	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22510	34.9%
Hangul	22127	34.3%
Latin	19930	30.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
육	1116	5.0%
체	1111	5.0%
관	1108	5.0%
다	674	3.0%
가	621	2.8%
부	603	2.7%
시	598	2.7%
자	595	2.7%
정	593	2.7%
대	590	2.7%
Other values (523)	14518	65.6%

Common

Value	Count	Frequency (%)
	12835	57.0%
"	2094	9.3%
0	1130	5.0%
-	1061	4.7%
=	1047	4.7%
:	1045	4.6%
4	1028	4.6%
>	655	2.9%
;	600	2.7%
<	261	1.2%
Other values (25)	754	3.3%

Latin

Value	Count	Frequency (%)
T	2565	12.9%
P	2095	10.5%
E	2077	10.4%
L	2063	10.4%
G	1493	7.5%
S	1089	5.5%
N	1068	5.4%
A	1066	5.3%
I	1051	5.3%
R	1047	5.3%
Other values (14)	4316	21.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42430	65.7%
Hangul	22113	34.2%
Compat Jamo	14	< 0.1%
None	6	< 0.1%
Punctuation	2	< 0.1%
CJK Compat	1	< 0.1%
Arrows	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	12835	30.2%
T	2565	6.0%
P	2095	4.9%
"	2094	4.9%
E	2077	4.9%
L	2063	4.9%
G	1493	3.5%
0	1130	2.7%
S	1089	2.6%
N	1068	2.5%
Other values (43)	13921	32.8%

Hangul

Value	Count	Frequency (%)
육	1116	5.0%
체	1111	5.0%
관	1108	5.0%
다	674	3.0%
가	621	2.8%
부	603	2.7%
시	598	2.7%
자	595	2.7%
정	593	2.7%
대	590	2.7%
Other values (522)	14504	65.6%

Compat Jamo

Value	Count	Frequency (%)
ㅇ	14	100.0%

None

Value	Count	Frequency (%)
	4	66.7%
²	1	16.7%
×	1	16.7%

Punctuation

Value	Count	Frequency (%)
※	2	100.0%

CJK Compat

Value	Count	Frequency (%)
㎡	1	100.0%

Arrows

Value	Count	Frequency (%)
→	1	100.0%

cp_woo
Text

Distinct	2369
Distinct (%)	44.5%
Missing	0
Missing (%)	0.0%
Memory size	41.7 KiB

Length

Max length	1024
Median length	779
Mean length	31.124624
Min length	1

Characters and Unicode

Total characters	165583
Distinct characters	595
Distinct categories	14 ?
Distinct scripts	4 ?
Distinct blocks	10 ?

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

Unique

Unique	2021 ?
Unique (%)	38.0%

Sample

1st row	P>제품구입시 20~40% 할인, 10만원당 1만원 최대 5만원까지 추가 할인(단. 일부품목제외)</PP>(연간 TAG가 기준 200만원 한도 내) (가족사랑카드에 등록된 자 중 부. 모에 한함)</PP>(최초 구매 시 가족사랑카드 사본 제출)</PP>* 상설할인점 제외</PP> NBSP;</PP> NBSP;
2nd row	제품구입시 20~40% 할인, 10만원당 1만원 최대 5만원까지 추가 할인(단. 일부품목제외)(연간 TAG가 기준 200만원 한도 내) (가족사랑카드에 등록된 자 중 부. 모에 한함)(최초 구매 시 가족사랑카드 사본 제출)* 상설할인점 제외 NBSP; NBSP;
3rd row	음료수, 공기밥<BR>
4th row	반일권 상시 30% 할인제공(다자녀세대 6인까지)
5th row	<SPAN STYLE="FONT-SIZE: 10PT;">외래 본인부담금 10% 할인</SPAN><SPAN STYLE="FONT-SIZE: 10PT;"> NBSP;</SPAN><SPAN STYLE="FONT-SIZE: 10PT;">일반 비급여 진료비 10% 할인</SPAN><SPAN STYLE="FONT-SIZE: 10PT;"> NBSP;(본인부담금 제외)</SPAN>

Value	Count	Frequency (%)
할인	1946	6.8%
10	1392	4.9%
입학금	855	3.0%
nbsp	828	2.9%
	652	2.3%
p	642	2.2%
면제	612	2.1%
20	569	2.0%
5	540	1.9%
수련비	531	1.9%
Other values (3090)	19971	70.0%

Most occurring characters

Value	Count	Frequency (%)
	24115	14.6%
0	6713	4.1%
인	5690	3.4%
할	4692	2.8%
%	4658	2.8%
1	4148	2.5%
P	3822	2.3%
>	3667	2.2%
B	3472	2.1%
<	3404	2.1%
Other values (585)	101202	61.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	66929	40.4%
Uppercase Letter	29397	17.8%
Space Separator	24115	14.6%
Decimal Number	15619	9.4%
Other Punctuation	15033	9.1%
Math Symbol	8566	5.2%
Close Punctuation	2203	1.3%
Open Punctuation	2199	1.3%
Dash Punctuation	1499	0.9%
Format	13	< 0.1%
Other values (4)	10	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
인	5690	8.5%
할	4692	7.0%
가	2414	3.6%
금	2142	3.2%
비	2040	3.0%
제	1950	2.9%
료	1758	2.6%
자	1618	2.4%
수	1540	2.3%
녀	1503	2.2%
Other values (515)	41582	62.1%

Uppercase Letter

Value	Count	Frequency (%)
P	3822	13.0%
B	3472	11.8%
R	3159	10.7%
T	2459	8.4%
S	2317	7.9%
N	2303	7.8%
E	1752	6.0%
L	1560	5.3%
G	1125	3.8%
O	1046	3.6%
Other values (15)	6382	21.7%

Other Punctuation

Value	Count	Frequency (%)
%	4658	31.0%
,	2390	15.9%
"	2102	14.0%
;	1890	12.6%
.	1322	8.8%
/	856	5.7%
:	852	5.7%
※	542	3.6%
·	176	1.2%
#	127	0.8%
Other values (4)	118	0.8%

Decimal Number

Value	Count	Frequency (%)
0	6713	43.0%
1	4148	26.6%
2	1670	10.7%
5	1372	8.8%
4	711	4.6%
3	542	3.5%
8	263	1.7%
6	88	0.6%
7	62	0.4%
9	50	0.3%

Math Symbol

Value	Count	Frequency (%)
>	3667	42.8%
<	3404	39.7%
=	1053	12.3%
~	429	5.0%
+	7	0.1%
∼	3	< 0.1%
▷	3	< 0.1%

Other Number

Value	Count	Frequency (%)
②	2	40.0%
①	2	40.0%
③	1	20.0%

Close Punctuation

Value	Count	Frequency (%)
)	2202	> 99.9%
]	1	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	2198	> 99.9%
[	1	< 0.1%

Modifier Symbol

Value	Count	Frequency (%)
^	2	66.7%
`	1	33.3%

Space Separator

Value	Count	Frequency (%)
	24115	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1499	100.0%

Format

Value	Count	Frequency (%)
	13	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Other Symbol

Value	Count	Frequency (%)
★	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	69257	41.8%
Hangul	66925	40.4%
Latin	29397	17.8%
Han	4	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
인	5690	8.5%
할	4692	7.0%
가	2414	3.6%
금	2142	3.2%
비	2040	3.0%
제	1950	2.9%
료	1758	2.6%
자	1618	2.4%
수	1540	2.3%
녀	1503	2.2%
Other values (511)	41578	62.1%

Common

Value	Count	Frequency (%)
	24115	34.8%
0	6713	9.7%
%	4658	6.7%
1	4148	6.0%
>	3667	5.3%
<	3404	4.9%
,	2390	3.5%
)	2202	3.2%
(	2198	3.2%
"	2102	3.0%
Other values (35)	13660	19.7%

Latin

Value	Count	Frequency (%)
P	3822	13.0%
B	3472	11.8%
R	3159	10.7%
T	2459	8.4%
S	2317	7.9%
N	2303	7.8%
E	1752	6.0%
L	1560	5.3%
G	1125	3.8%
O	1046	3.6%
Other values (15)	6382	21.7%

Han

Value	Count	Frequency (%)
必	1	25.0%
大	1	25.0%
乍	1	25.0%
無	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	97911	59.1%
Hangul	66914	40.4%
Punctuation	542	0.3%
None	189	0.1%
Compat Jamo	11	< 0.1%
Enclosed Alphanum	5	< 0.1%
CJK	4	< 0.1%
Math Operators	3	< 0.1%
Geometric Shapes	3	< 0.1%
Misc Symbols	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	24115	24.6%
0	6713	6.9%
%	4658	4.8%
1	4148	4.2%
P	3822	3.9%
>	3667	3.7%
B	3472	3.5%
<	3404	3.5%
R	3159	3.2%
T	2459	2.5%
Other values (51)	38294	39.1%

Hangul

Value	Count	Frequency (%)
인	5690	8.5%
할	4692	7.0%
가	2414	3.6%
금	2142	3.2%
비	2040	3.0%
제	1950	2.9%
료	1758	2.6%
자	1618	2.4%
수	1540	2.3%
녀	1503	2.2%
Other values (510)	41567	62.1%

Punctuation

Value	Count	Frequency (%)
※	542	100.0%

None

Value	Count	Frequency (%)
·	176	93.1%
	13	6.9%

Compat Jamo

Value	Count	Frequency (%)
ㅇ	11	100.0%

Math Operators

Value	Count	Frequency (%)
∼	3	100.0%

Geometric Shapes

Value	Count	Frequency (%)
▷	3	100.0%

Enclosed Alphanum

Value	Count	Frequency (%)
②	2	40.0%
①	2	40.0%
③	1	20.0%

CJK

Value	Count	Frequency (%)
必	1	25.0%
大	1	25.0%
乍	1	25.0%
無	1	25.0%

Misc Symbols

Value	Count	Frequency (%)
★	1	100.0%

cp_state
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	5320
Missing (%)	100.0%
Memory size	46.9 KiB

cp_img
Text

MISSING

Distinct	12
Distinct (%)	100.0%
Missing	5308
Missing (%)	99.8%
Memory size	41.7 KiB

Length

Max length	23
Median length	23
Mean length	21.916667
Min length	12

Characters and Unicode

Total characters	263
Distinct characters	22
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	12 ?
Unique (%)	100.0%

Sample

1st row	274620130424181121.JPG
2nd row	5171220130424170527.gif
3rd row	7563820130424174316.JPG
4th row	009_6769.JPG
5th row	4733520130424173054.gif

Value	Count	Frequency (%)
274620130424181121.jpg	1	8.3%
5171220130424170527.gif	1	8.3%
7563820130424174316.jpg	1	8.3%
009_6769.jpg	1	8.3%
4733520130424173054.gif	1	8.3%
7341920180927173756.jpg	1	8.3%
6972520130422161432.gif	1	8.3%
2643120130522163717.gif	1	8.3%
4150420130418155640.jpg	1	8.3%
4970820180927175336.jpg	1	8.3%
Other values (2)	2	16.7%

Most occurring characters

Value	Count	Frequency (%)
1	36	13.7%
2	32	12.2%
0	29	11.0%
4	23	8.7%
7	23	8.7%
3	21	8.0%
5	18	6.8%
6	12	4.6%
.	12	4.6%
8	11	4.2%
Other values (12)	46	17.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	214	81.4%
Lowercase Letter	24	9.1%
Other Punctuation	12	4.6%
Uppercase Letter	12	4.6%
Connector Punctuation	1	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	36	16.8%
2	32	15.0%
0	29	13.6%
4	23	10.7%
7	23	10.7%
3	21	9.8%
5	18	8.4%
6	12	5.6%
8	11	5.1%
9	9	4.2%

Lowercase Letter

Value	Count	Frequency (%)
g	8	33.3%
p	5	20.8%
j	5	20.8%
f	3	12.5%
i	3	12.5%

Uppercase Letter

Value	Count	Frequency (%)
G	4	33.3%
P	3	25.0%
J	3	25.0%
I	1	8.3%
F	1	8.3%

Other Punctuation

Value	Count	Frequency (%)
.	12	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	227	86.3%
Latin	36	13.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	36	15.9%
2	32	14.1%
0	29	12.8%
4	23	10.1%
7	23	10.1%
3	21	9.3%
5	18	7.9%
6	12	5.3%
.	12	5.3%
8	11	4.8%
Other values (2)	10	4.4%

Latin

Value	Count	Frequency (%)
g	8	22.2%
p	5	13.9%
j	5	13.9%
G	4	11.1%
f	3	8.3%
i	3	8.3%
P	3	8.3%
J	3	8.3%
I	1	2.8%
F	1	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	263	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	36	13.7%
2	32	12.2%
0	29	11.0%
4	23	8.7%
7	23	8.7%
3	21	8.0%
5	18	6.8%
6	12	4.6%
.	12	4.6%
8	11	4.2%
Other values (12)	46	17.5%

cp_webflag
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.3 KiB

True	3465
False	1855

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	3465	65.1%
False	1855	34.9%

last_load_dttm
Date

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	41.7 KiB

Minimum	2021-03-01 06:15:03
Maximum	2021-03-01 06:15:03

Histogram

Histogram with fixed size bins (bins=1)

skey

skey

Heatmap
Table

	skey	cp_home	cp_class	cp_hgu	cp_sanum	cp_email	cp_emailflag	cp_img	cp_webflag
skey	1.000	0.000	0.432	0.351	0.721	0.630	0.076	1.000	0.239
cp_home	0.000	1.000	0.968	0.822	0.000	0.934	0.627	1.000	0.321
cp_class	0.432	0.968	1.000	0.519	0.345	0.925	0.074	1.000	0.126
cp_hgu	0.351	0.822	0.519	1.000	0.000	0.589	0.221	1.000	0.258
cp_sanum	0.721	0.000	0.345	0.000	1.000	1.000	0.329	NaN	0.000
cp_email	0.630	0.934	0.925	0.589	1.000	1.000	1.000	NaN	0.882
cp_emailflag	0.076	0.627	0.074	0.221	0.329	1.000	1.000	NaN	0.368
cp_img	1.000	1.000	1.000	1.000	NaN	NaN	NaN	1.000	NaN
cp_webflag	0.239	0.321	0.126	0.258	0.000	0.882	0.368	NaN	1.000

Heatmap
Table

	cp_email	cp_class	cp_webflag	cp_hgu	cp_emailflag
cp_email	1.000	0.633	0.790	0.219	0.964
cp_class	0.633	1.000	0.113	0.146	0.067
cp_webflag	0.790	0.113	1.000	0.231	0.240
cp_hgu	0.219	0.146	0.231	1.000	0.198
cp_emailflag	0.964	0.067	0.240	0.198	1.000

Heatmap
Table

	skey	cp_class	cp_hgu	cp_email	cp_emailflag	cp_webflag
skey	1.000	0.183	0.144	0.283	0.058	0.184
cp_class	0.183	1.000	0.146	0.633	0.067	0.113
cp_hgu	0.144	0.146	1.000	0.219	0.198	0.231
cp_email	0.283	0.633	0.219	1.000	0.964	0.790
cp_emailflag	0.058	0.067	0.198	0.964	1.000	0.240
cp_webflag	0.184	0.113	0.231	0.790	0.240	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	skey	cp_compname	cp_home	cp_class	cp_hgu	cp_ceoname	cp_sanum	cp_sidate	cp_addr	cp_tel	cp_email	cp_emailflag	cp_info	cp_woo	cp_state	cp_img	cp_webflag	last_load_dttm
0	3317965	웰메이드 사직점	<NA>	기타	동래구	박순호	<NA>	2000-01-01	부산광역시 동래구 사직동 석사로 14 (사직동 1층)	051-502-5822	<NA>	Y	<NA>	P>제품구입시 20~40% 할인, 10만원당 1만원 최대 5만원까지 추가 할인(단. 일부품목제외)</PP>(연간 TAG가 기준 200만원 한도 내) (가족사랑카드에 등록된 자 중 부. 모에 한함)</PP>(최초 구매 시 가족사랑카드 사본 제출)</PP>* 상설할인점 제외</PP> NBSP;</PP> NBSP;	<NA>	<NA>	Y	2021-03-01 06:15:03
1	3317966	웰메이드 광안직영점	<NA>	기타	수영구	박순호	<NA>	2000-01-01	부산광역시 수영구 광안동 수영로 610	051-756-4575	<NA>	Y		제품구입시 20~40% 할인, 10만원당 1만원 최대 5만원까지 추가 할인(단. 일부품목제외)(연간 TAG가 기준 200만원 한도 내) (가족사랑카드에 등록된 자 중 부. 모에 한함)(최초 구매 시 가족사랑카드 사본 제출)* 상설할인점 제외 NBSP; NBSP;	<NA>	<NA>	N	2021-03-01 06:15:03
2	3317967	용문각	<NA>	요식업등	남구	용문각	<NA>	2017-10-10	부산광역시 남구 대연동 유엔평화로 대연1동 983-3	051-627-2616	<NA>	Y		음료수, 공기밥<BR>	<NA>	<NA>	N	2021-03-01 06:15:03
3	3317968	키자니아 부산	<NA>	문화시설	해운대구	노혁진	<NA>	2017-03-23	부산광역시 해운대구 우동 센텀남대로 키자니아 부산	051-1544-5110	<NA>	Y	* 직업체험 테마파크	반일권 상시 30% 할인제공(다자녀세대 6인까지)	<NA>	<NA>	Y	2021-03-01 06:15:03
4	3317969	센텀일신 소아청소년과	<NA>	병의원	해운대구	정수진	<NA>	2016-05-11	부산광역시 해운대구 재송동 센텀동로 센텀필상가 2-201호	051-782-0002	<NA>	N		<SPAN STYLE="FONT-SIZE: 10PT;">외래 본인부담금 10% 할인</SPAN><SPAN STYLE="FONT-SIZE: 10PT;"> NBSP;</SPAN><SPAN STYLE="FONT-SIZE: 10PT;">일반 비급여 진료비 10% 할인</SPAN><SPAN STYLE="FONT-SIZE: 10PT;"> NBSP;(본인부담금 제외)</SPAN>	<NA>	<NA>	N	2021-03-01 06:15:03
5	3317970	아름솔어린이집	<NA>	어린이집	사상구	허주연	<NA>	2016-05-15	부산광역시 사상구 모라동 모라로192번길 4단지 관리동 2층	051-301-5580	<NA>	N		입학금 20% 할인, 입학금 면제 ,가방무료	<NA>	<NA>	Y	2021-03-01 06:15:03
6	3317971	프레제 대연혁신점	<NA>	요식업등	남구	프레제	<NA>	2017-10-10	부산광역시 남구 대연동 수영로 345, 105-1호	051-621-7700	<NA>	Y	폐업	2만원이상 구매시 10% 할인<FONT COLOR="#FF0000">폐업</FONT><BR>	<NA>	<NA>	N	2021-03-01 06:15:03
7	3317972	착한식육점	<NA>	기타	남구	김종수	<NA>	2017-10-10	부산광역시 남구 대연동 수영로 345, 107-1호	051-558-8519	<NA>	Y		3만원이상 구매시 5%할인<BR>	<NA>	<NA>	Y	2021-03-01 06:15:03
8	3317973	강남돼지	<NA>	요식업등	남구	강남	<NA>	2017-10-10	부산광역시 남구 대연동 유엔평화로 10번길 3	051-612-1412	<NA>	Y		식사류 1메뉴 제공(찌개, 면류)<BR>	<NA>	<NA>	Y	2021-03-01 06:15:03
9	3317974	오륙도 낙지볶음	<NA>	요식업등	남구	오륙도	<NA>	2017-10-10	부산광역시 남구 대연동 유엔평화로13번길 1737-7번지	051-627-1471	<NA>	Y		음료수<BR>	<NA>	<NA>	Y	2021-03-01 06:15:03

	skey	cp_compname	cp_home	cp_class	cp_hgu	cp_ceoname	cp_sanum	cp_sidate	cp_addr	cp_tel	cp_email	cp_emailflag	cp_woo	cp_state	cp_img	cp_webflag	last_load_dttm
5310	3312728	리라유치원	<NA>	유치원	사상구	김정혜	<NA>	2020-09-01	부산광역시 사상구 낙동대로 778-9	051-311-5588	<NA>	Y	2인이상 등록시 메모지 증정<BR>	<NA>	<NA>	Y	2021-03-01 06:15:03
5311	3312729	홍샘수학전문학원	<NA>	학원	사상구	장홍직	<NA>	2020-09-14	부산광역시 사상구 엄궁로 100 상가 501호	051-311-9155	<NA>	Y	2인이상 등록시 메모지 증정<BR>	<NA>	<NA>	Y	2021-03-01 06:15:03
5312	3312730	육일곰장어	<NA>	요식업등	사상구	최미향	<NA>	2020-09-21	부산광역시 사상구 가야대로 290-9	051-326-6192	<NA>	Y	음료수 1병 추가 제공<BR>	<NA>	<NA>	Y	2021-03-01 06:15:03
5313	3312731	부산우유(괘법)	<NA>	유통업체	사상구	김종영	<NA>	2020-08-26	부산광역시 사상구 사상로212번길 48	051-316-4667	<NA>	Y	우유 월 10회 이상 구매시 야구르트 1팩 지원<BR>	<NA>	<NA>	Y	2021-03-01 06:15:03
5314	3312732	풀무원녹즙(사상북부오피스)	<NA>	유통업체	사상구	정은아	<NA>	2020-08-26	부산광역시 사상구 새벽시장로56번길 6	051-327-5131	<NA>	Y	풀무원 전제품 15% 할인(녹즙, 생필품, 유산균, 영양제 등)<BR>	<NA>	<NA>	Y	2021-03-01 06:15:03
5315	3312733	맛나 손칼국수	<NA>	요식업등	연제구	강종석	<NA>	2020-09-24	부산광역시 연제구 중앙대로1124번길 15	051-867-9592	<NA>	Y	3인 이상 김밥 1줄<BR>	<NA>	<NA>	Y	2021-03-01 06:15:03
5316	3312734	목촌돼지국밥	<NA>	요식업등	연제구	정연주	<NA>	2020-09-24	부산광역시 연제구 고분로 41	051-865-2212	<NA>	Y	음료수1병 제공<BR>	<NA>	<NA>	Y	2021-03-01 06:15:03
5317	3312735	라온태권도	<NA>	체육시설	기장군	김종삼	<NA>	2020-09-25	부산광역시 기장군 기장읍 차성로344번길 8 3층	051-723-0888	<NA>	Y	다녀녀가정 2인 등록시 1인당 1만원 할인, 3인 이상 등록시 1인당 2만원 할인<BR>	<NA>	<NA>	Y	2021-03-01 06:15:03
5318	3312736	벽초온천	<NA>	세탁, 목욕업	동래구	박근칠	<NA>	2020-11-25	부산광역시 동래구 금강로 145	051-552-5755	<NA>	Y	5% 할인(티켓구매, 달 목욕 제외)-가족사랑카드, 신분증 지참 시<BR>	<NA>	<NA>	Y	2021-03-01 06:15:03
5319	3312737	친정엄마	<NA>	요식업등	수영구	추경란	<NA>	2019-08-05	부산광역시 수영구 남천동로108번길 12 2층	051-611-5556	<NA>	Y	음료수 1병 무료제공<BR>	<NA>	<NA>	Y	2021-03-01 06:15:03

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Math Symbol

Space Separator

Close Punctuation

Open Punctuation

Dash Punctuation

Modifier Symbol

Other Symbol

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Han

Most occurring blocks

Most frequent character per block

ASCII

Hangul

None

CJK

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Letter

Other Punctuation

Dash Punctuation

Space Separator

Connector Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Hangul

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Other Punctuation

Open Punctuation

Close Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script