gimi9 Pandas Profiling

Dataset statistics

Number of variables	18
Number of observations	2009
Missing cells	4383
Missing cells (%)	12.1%
Duplicate rows	128
Duplicate rows (%)	6.4%
Total size in memory	300.3 KiB
Average record size in memory	153.1 B

Variable types

Text	4
Categorical	4
DateTime	1
Numeric	9

Dataset

Description	한국토지주택공사가 임대하는 공공임대상가의 공고별 임대료 내역 자료(공고명, 주소, 면적, 임대보증금. 임대료 등)를 제공합니다.
Author	한국토지주택공사
URL	https://www.data.go.kr/data/15124774/fileData.do

Alerts

Dataset has 128 (6.4%) duplicate rows	Duplicates
`호번호` is highly overall correlated with `층`	High correlation
`전용면적` is highly overall correlated with `계약면적`	High correlation
`주거공용면적` is highly overall correlated with `계약면적`	High correlation
`계약면적` is highly overall correlated with `전용면적` and 1 other fields	High correlation
`임대보증금` is highly overall correlated with `임대료` and 1 other fields	High correlation
`임대료` is highly overall correlated with `임대보증금` and 1 other fields	High correlation
`공급예정금액` is highly overall correlated with `상가모집구분`	High correlation
`상가모집구분` is highly overall correlated with `임대보증금` and 2 other fields	High correlation
`층` is highly overall correlated with `호번호`	High correlation
`동번호` is highly imbalanced (63.5%)	Imbalance
`층` is highly imbalanced (66.5%)	Imbalance
`건축물용도` is highly imbalanced (92.8%)	Imbalance
`우편번호` has 250 (12.4%) missing values	Missing
`상세주소` has 1215 (60.5%) missing values	Missing
`임대보증금` has 748 (37.2%) missing values	Missing
`임대료` has 748 (37.2%) missing values	Missing
`공급예정금액` has 1410 (70.2%) missing values	Missing
`주거공용면적` has 81 (4.0%) zeros	Zeros
`기타공용면적` has 1837 (91.4%) zeros	Zeros

Reproduction

Analysis started	2023-12-12 17:32:49.725516
Analysis finished	2023-12-12 17:33:00.080413
Duration	10.35 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

공고명
Text

Distinct	653
Distinct (%)	32.5%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

Length

Max length	62
Median length	55
Mean length	35.024888
Min length	21

Characters and Unicode

Total characters	70365
Distinct characters	239
Distinct categories	12 ?
Distinct scripts	3 ?
Distinct blocks	6 ?

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

Unique

Unique	284 ?
Unique (%)	14.1%

Sample

1st row	익산인화 공공임대상가(LH희망상가) 입점자 모집 공고(일반형)
2nd row	전주반월2 공공임대상가(LH희망상가) 입점자 모집공고(일반형)
3rd row	청주동남A-5블록 LH희망상가 입점자 모집공고(일반형)
4th row	청주동남A-5블록 LH희망상가 입점자 모집공고(일반형)
5th row	청주동남A-5블록 LH희망상가 입점자 모집공고(공공지원형)

Value	Count	Frequency (%)
입점자	1906	17.4%
lh희망상가	1024	9.3%
모집공고	820	7.5%
공공지원형	505	4.6%
lh희망상가(공공지원형	400	3.6%
희망상가	326	3.0%
행복주택	290	2.6%
모집공고(공공지원형	276	2.5%
모집	207	1.9%
일반형	176	1.6%
Other values (504)	5054	46.0%

Most occurring characters

Value	Count	Frequency (%)
	9175	13.0%
공	4810	6.8%
L	2257	3.2%
가	2252	3.2%
상	2165	3.1%
모	2008	2.9%
점	2003	2.8%
집	2002	2.8%
입	1999	2.8%
자	1995	2.8%
Other values (229)	39699	56.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	45043	64.0%
Space Separator	9175	13.0%
Uppercase Letter	6032	8.6%
Decimal Number	4080	5.8%
Close Punctuation	1937	2.8%
Open Punctuation	1934	2.7%
Dash Punctuation	1004	1.4%
Other Punctuation	828	1.2%
Other Symbol	264	0.4%
Lowercase Letter	27	< 0.1%
Other values (2)	41	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
공	4810	10.7%
가	2252	5.0%
상	2165	4.8%
모	2008	4.5%
점	2003	4.4%
집	2002	4.4%
입	1999	4.4%
자	1995	4.4%
형	1990	4.4%
망	1990	4.4%
Other values (187)	21829	48.5%

Uppercase Letter

Value	Count	Frequency (%)
L	2257	37.4%
H	1915	31.7%
A	1129	18.7%
B	447	7.4%
M	119	2.0%
C	61	1.0%
R	43	0.7%
S	43	0.7%
I	9	0.1%
U	9	0.1%

Decimal Number

Value	Count	Frequency (%)
1	1213	29.7%
2	1108	27.2%
3	400	9.8%
4	330	8.1%
6	230	5.6%
5	223	5.5%
0	213	5.2%
7	155	3.8%
8	123	3.0%
9	85	2.1%

Other Symbol

Value	Count	Frequency (%)
★	126	47.7%
♣	33	12.5%
●	32	12.1%
▶	28	10.6%
◆	25	9.5%
■	11	4.2%
♠	5	1.9%
◈	2	0.8%
◀	2	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	619	74.8%
'	203	24.5%
·	6	0.7%

Close Punctuation

Value	Count	Frequency (%)
)	1903	98.2%
]	34	1.8%

Open Punctuation

Value	Count	Frequency (%)
(	1903	98.4%
[	31	1.6%

Letter Number

Value	Count	Frequency (%)
Ⅰ	21	77.8%
Ⅱ	6	22.2%

Space Separator

Value	Count	Frequency (%)
	9175	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1004	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	27	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	45043	64.0%
Common	19236	27.3%
Latin	6086	8.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
공	4810	10.7%
가	2252	5.0%
상	2165	4.8%
모	2008	4.5%
점	2003	4.4%
집	2002	4.4%
입	1999	4.4%
자	1995	4.4%
형	1990	4.4%
망	1990	4.4%
Other values (187)	21829	48.5%

Common

Value	Count	Frequency (%)
	9175	47.7%
)	1903	9.9%
(	1903	9.9%
1	1213	6.3%
2	1108	5.8%
-	1004	5.2%
.	619	3.2%
3	400	2.1%
4	330	1.7%
6	230	1.2%
Other values (19)	1351	7.0%

Latin

Value	Count	Frequency (%)
L	2257	37.1%
H	1915	31.5%
A	1129	18.6%
B	447	7.3%
M	119	2.0%
C	61	1.0%
R	43	0.7%
S	43	0.7%
a	27	0.4%
Ⅰ	21	0.3%
Other values (3)	24	0.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	45043	64.0%
ASCII	25025	35.6%
Misc Symbols	164	0.2%
Geometric Shapes	100	0.1%
Number Forms	27	< 0.1%
None	6	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	9175	36.7%
L	2257	9.0%
H	1915	7.7%
)	1903	7.6%
(	1903	7.6%
1	1213	4.8%
A	1129	4.5%
2	1108	4.4%
-	1004	4.0%
.	619	2.5%
Other values (20)	2799	11.2%

Hangul

Value	Count	Frequency (%)
공	4810	10.7%
가	2252	5.0%
상	2165	4.8%
모	2008	4.5%
점	2003	4.4%
집	2002	4.4%
입	1999	4.4%
자	1995	4.4%
형	1990	4.4%
망	1990	4.4%
Other values (187)	21829	48.5%

Misc Symbols

Value	Count	Frequency (%)
★	126	76.8%
♣	33	20.1%
♠	5	3.0%

Geometric Shapes

Value	Count	Frequency (%)
●	32	32.0%
▶	28	28.0%
◆	25	25.0%
■	11	11.0%
◈	2	2.0%
◀	2	2.0%

Number Forms

Value	Count	Frequency (%)
Ⅰ	21	77.8%
Ⅱ	6	22.2%

None

Value	Count	Frequency (%)
·	6	100.0%

상가모집구분
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

공모심사	1410
입찰	599

Length

Max length	4
Median length	4
Mean length	3.4036834
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	입찰
2nd row	입찰
3rd row	입찰
4th row	입찰
5th row	공모심사

Common Values

Value	Count	Frequency (%)
공모심사	1410	70.2%
입찰	599	29.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
공모심사	1410	70.2%
입찰	599	29.8%

공고일자
Date

Distinct	228
Distinct (%)	11.3%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

Minimum	2020-02-18 00:00:00
Maximum	2023-10-16 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

우편번호
Real number (ℝ)

MISSING

Distinct	145
Distinct (%)	8.2%
Missing	250
Missing (%)	12.4%
Infinite	0
Infinite (%)	0.0%
Mean	29034.754

Minimum	2057
Maximum	63640
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	2057
5-th percentile	10057.1
Q1	13449
median	27480
Q3	41438
95-th percentile	59741
Maximum	63640
Range	61583
Interquartile range (IQR)	27989

Descriptive statistics

Standard deviation	16777.917
Coefficient of variation (CV)	0.57785634
Kurtosis	-1.0336155
Mean	29034.754
Median Absolute Deviation (MAD)	13958
Skewness	0.44615754
Sum	51072133
Variance	2.8149849 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41438	147	7.3%
30123	109	5.4%
15002	85	4.2%
11940	56	2.8%
31473	51	2.5%
14502	41	2.0%
59752	34	1.7%
59741	32	1.6%
22679	30	1.5%
51395	28	1.4%
Other values (135)	1146	57.0%
(Missing)	250	12.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2057	26	1.3%
3951	21	1.0%
6369	14	0.7%
8516	6	0.3%
10017	12	0.6%
10031	9	0.4%
10060	17	0.8%
10086	14	0.7%
10486	2	0.1%
10546	8	0.4%

Value	Count	Frequency (%)
63640	7	0.3%
63568	1	< 0.1%
62368	4	0.2%
62363	3	0.1%
62277	6	0.3%
61754	15	0.7%
61746	2	0.1%
59752	34	1.7%
59745	1	< 0.1%
59741	32	1.6%

주소
Text

Distinct	203
Distinct (%)	10.2%
Missing	12
Missing (%)	0.6%
Memory size	15.8 KiB

Length

Max length	46
Median length	38
Mean length	23.970456
Min length	12

Characters and Unicode

Total characters	47869
Distinct characters	254
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	13 ?
Unique (%)	0.7%

Sample

1st row	전라북도 익산시 목천로 318(인화동2가)
2nd row	전라북도 전주시 덕진구 혁신로 665(반월동 전주반월2엘에이치아파트)
3rd row	충청북도 청주시 상당구 월운로 146(용암동)
4th row	충청북도 청주시 상당구 월운로 146(용암동)
5th row	충청북도 청주시 상당구 월운로 146(용암동)

Value	Count	Frequency (%)
경기도	722	7.9%
북구	191	2.1%
행복주택	189	2.1%
대구광역시	178	2.0%
화성시	158	1.7%
충청남도	155	1.7%
칠곡중앙대로	147	1.6%
434(읍내동	147	1.6%
대구읍내	147	1.6%
전라북도	142	1.6%
Other values (551)	6926	76.1%

Most occurring characters

Value	Count	Frequency (%)
	7420	15.5%
시	1963	4.1%
동	1800	3.8%
도	1444	3.0%
로	1436	3.0%
)	1411	2.9%
(	1411	2.9%
1	1186	2.5%
구	1012	2.1%
경	919	1.9%
Other values (244)	27867	58.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	31144	65.1%
Space Separator	7420	15.5%
Decimal Number	5981	12.5%
Close Punctuation	1411	2.9%
Open Punctuation	1411	2.9%
Dash Punctuation	300	0.6%
Uppercase Letter	202	0.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	1963	6.3%
동	1800	5.8%
도	1444	4.6%
로	1436	4.6%
구	1012	3.2%
경	919	3.0%
기	768	2.5%
남	690	2.2%
읍	667	2.1%
대	608	2.0%
Other values (227)	19837	63.7%

Decimal Number

Value	Count	Frequency (%)
1	1186	19.8%
2	814	13.6%
4	797	13.3%
3	780	13.0%
0	534	8.9%
5	489	8.2%
6	464	7.8%
7	372	6.2%
9	288	4.8%
8	257	4.3%

Uppercase Letter

Value	Count	Frequency (%)
L	100	49.5%
H	100	49.5%
B	2	1.0%

Space Separator

Value	Count	Frequency (%)
	7420	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1411	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1411	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	300	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	31144	65.1%
Common	16523	34.5%
Latin	202	0.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	1963	6.3%
동	1800	5.8%
도	1444	4.6%
로	1436	4.6%
구	1012	3.2%
경	919	3.0%
기	768	2.5%
남	690	2.2%
읍	667	2.1%
대	608	2.0%
Other values (227)	19837	63.7%

Common

Value	Count	Frequency (%)
	7420	44.9%
)	1411	8.5%
(	1411	8.5%
1	1186	7.2%
2	814	4.9%
4	797	4.8%
3	780	4.7%
0	534	3.2%
5	489	3.0%
6	464	2.8%
Other values (4)	1217	7.4%

Latin

Value	Count	Frequency (%)
L	100	49.5%
H	100	49.5%
B	2	1.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	31144	65.1%
ASCII	16725	34.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	7420	44.4%
)	1411	8.4%
(	1411	8.4%
1	1186	7.1%
2	814	4.9%
4	797	4.8%
3	780	4.7%
0	534	3.2%
5	489	2.9%
6	464	2.8%
Other values (7)	1419	8.5%

Hangul

Value	Count	Frequency (%)
시	1963	6.3%
동	1800	5.8%
도	1444	4.6%
로	1436	4.6%
구	1012	3.2%
경	919	3.0%
기	768	2.5%
남	690	2.2%
읍	667	2.1%
대	608	2.0%
Other values (227)	19837	63.7%

상세주소
Text

MISSING

Distinct	72
Distinct (%)	9.1%
Missing	1215
Missing (%)	60.5%
Memory size	15.8 KiB

Length

Max length	35
Median length	25
Mean length	12.852645
Min length	3

Characters and Unicode

Total characters	10205
Distinct characters	150
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	4 ?
Unique (%)	0.5%

Sample

1st row	청주동남 LH희망상가
2nd row	청주동남 LH희망상가
3rd row	청주동남 LH희망상가
4th row	청주동남 LH희망상가
5th row	청주동남 LH희망상가

Value	Count	Frequency (%)
행복주택	124	6.9%
상가동	106	5.9%
근린생활시설	80	4.5%
일원	61	3.4%
인천검단	58	3.2%
구리수택행복주택	56	3.1%
lh	53	3.0%
463-2번지	41	2.3%
부천상동	41	2.3%
lh희망상가	38	2.1%
Other values (118)	1134	63.3%

Most occurring characters

Value	Count	Frequency (%)
	1070	10.5%
단	428	4.2%
지	377	3.7%
L	342	3.4%
동	336	3.3%
주	331	3.2%
택	279	2.7%
H	275	2.7%
상	248	2.4%
가	233	2.3%
Other values (140)	6286	61.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	6645	65.1%
Decimal Number	1085	10.6%
Space Separator	1070	10.5%
Uppercase Letter	1024	10.0%
Dash Punctuation	128	1.3%
Close Punctuation	122	1.2%
Open Punctuation	122	1.2%
Other Punctuation	9	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
단	428	6.4%
지	377	5.7%
동	336	5.1%
주	331	5.0%
택	279	4.2%
상	248	3.7%
가	233	3.5%
행	214	3.2%
복	214	3.2%
시	201	3.0%
Other values (119)	3784	56.9%

Decimal Number

Value	Count	Frequency (%)
3	222	20.5%
1	205	18.9%
6	155	14.3%
2	148	13.6%
0	123	11.3%
4	98	9.0%
5	76	7.0%
9	28	2.6%
7	22	2.0%
8	8	0.7%

Uppercase Letter

Value	Count	Frequency (%)
L	342	33.4%
H	275	26.9%
A	220	21.5%
B	107	10.4%
S	57	5.6%
C	23	2.2%

Space Separator

Value	Count	Frequency (%)
	1070	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	128	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	122	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	122	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	6645	65.1%
Common	2536	24.9%
Latin	1024	10.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
단	428	6.4%
지	377	5.7%
동	336	5.1%
주	331	5.0%
택	279	4.2%
상	248	3.7%
가	233	3.5%
행	214	3.2%
복	214	3.2%
시	201	3.0%
Other values (119)	3784	56.9%

Common

Value	Count	Frequency (%)
	1070	42.2%
3	222	8.8%
1	205	8.1%
6	155	6.1%
2	148	5.8%
-	128	5.0%
0	123	4.9%
)	122	4.8%
(	122	4.8%
4	98	3.9%
Other values (5)	143	5.6%

Latin

Value	Count	Frequency (%)
L	342	33.4%
H	275	26.9%
A	220	21.5%
B	107	10.4%
S	57	5.6%
C	23	2.2%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	6645	65.1%
ASCII	3560	34.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1070	30.1%
L	342	9.6%
H	275	7.7%
3	222	6.2%
A	220	6.2%
1	205	5.8%
6	155	4.4%
2	148	4.2%
-	128	3.6%
0	123	3.5%
Other values (11)	672	18.9%

Hangul

Value	Count	Frequency (%)
단	428	6.4%
지	377	5.7%
동	336	5.1%
주	331	5.0%
택	279	4.2%
상	248	3.7%
가	233	3.5%
행	214	3.2%
복	214	3.2%
시	201	3.0%
Other values (119)	3784	56.9%

단지명
Text

Distinct	205
Distinct (%)	10.2%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

Length

Max length	28
Median length	25
Mean length	13.44898
Min length	4

Characters and Unicode

Total characters	27019
Distinct characters	208
Distinct categories	9 ?
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	11 ?
Unique (%)	0.5%

Sample

1st row	익산인화 행복주택
2nd row	전주반월(2)지구 국민임대
3rd row	청주동남5
4th row	청주동남5
5th row	청주동남5

Value	Count	Frequency (%)
행복주택	654	15.2%
대구읍내	147	3.4%
행정중심복합도시	124	2.9%
2-1생활권	109	2.5%
m6블록	109	2.5%
국민	78	1.8%
국민임대	76	1.8%
인천검단	72	1.7%
화성동탄2	59	1.4%
구리수택	56	1.3%
Other values (264)	2831	65.6%

Most occurring characters

Value	Count	Frequency (%)
	2327	8.6%
주	1166	4.3%
복	1035	3.8%
1	1033	3.8%
행	1020	3.8%
택	1006	3.7%
A	959	3.5%
-	765	2.8%
(	616	2.3%
)	616	2.3%
Other values (198)	16476	61.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	17164	63.5%
Decimal Number	2970	11.0%
Uppercase Letter	2453	9.1%
Space Separator	2327	8.6%
Dash Punctuation	765	2.8%
Open Punctuation	616	2.3%
Close Punctuation	616	2.3%
Other Punctuation	89	0.3%
Lowercase Letter	19	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
주	1166	6.8%
복	1035	6.0%
행	1020	5.9%
택	1006	5.9%
블	600	3.5%
록	557	3.2%
지	463	2.7%
단	462	2.7%
대	434	2.5%
산	391	2.3%
Other values (172)	10030	58.4%

Decimal Number

Value	Count	Frequency (%)
1	1033	34.8%
2	585	19.7%
3	361	12.2%
4	260	8.8%
6	209	7.0%
5	190	6.4%
7	156	5.3%
8	72	2.4%
9	59	2.0%
0	45	1.5%

Uppercase Letter

Value	Count	Frequency (%)
A	959	39.1%
B	568	23.2%
L	554	22.6%
M	119	4.9%
H	108	4.4%
C	50	2.0%
R	43	1.8%
S	43	1.8%
U	9	0.4%

Other Punctuation

Value	Count	Frequency (%)
·	71	79.8%
/	18	20.2%

Space Separator

Value	Count	Frequency (%)
	2327	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	765	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	616	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	616	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	17164	63.5%
Common	7383	27.3%
Latin	2472	9.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
주	1166	6.8%
복	1035	6.0%
행	1020	5.9%
택	1006	5.9%
블	600	3.5%
록	557	3.2%
지	463	2.7%
단	462	2.7%
대	434	2.5%
산	391	2.3%
Other values (172)	10030	58.4%

Common

Value	Count	Frequency (%)
	2327	31.5%
1	1033	14.0%
-	765	10.4%
(	616	8.3%
)	616	8.3%
2	585	7.9%
3	361	4.9%
4	260	3.5%
6	209	2.8%
5	190	2.6%
Other values (6)	421	5.7%

Latin

Value	Count	Frequency (%)
A	959	38.8%
B	568	23.0%
L	554	22.4%
M	119	4.8%
H	108	4.4%
C	50	2.0%
R	43	1.7%
S	43	1.7%
a	19	0.8%
U	9	0.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	17164	63.5%
ASCII	9784	36.2%
None	71	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2327	23.8%
1	1033	10.6%
A	959	9.8%
-	765	7.8%
(	616	6.3%
)	616	6.3%
2	585	6.0%
B	568	5.8%
L	554	5.7%
3	361	3.7%
Other values (15)	1400	14.3%

Hangul

Value	Count	Frequency (%)
주	1166	6.8%
복	1035	6.0%
행	1020	5.9%
택	1006	5.9%
블	600	3.5%
록	557	3.2%
지	463	2.7%
단	462	2.7%
대	434	2.5%
산	391	2.3%
Other values (172)	10030	58.4%

None

Value	Count	Frequency (%)
·	71	100.0%

동번호
Categorical

IMBALANCE

Distinct	18
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

S001	1473
S002	214
S005	147
1	41
S003	32
Other values (13)	102

Length

Max length	4
Median length	4
Mean length	3.9298158
Min length	1

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	1A7
2nd row	S001
3rd row	S001
4th row	S001
5th row	S001

Common Values

Value	Count	Frequency (%)
S001	1473	73.3%
S002	214	10.7%
S005	147	7.3%
1	41	2.0%
S003	32	1.6%
S101	25	1.2%
S004	23	1.1%
1A7	16	0.8%
S201	13	0.6%
S021	12	0.6%
Other values (8)	13	0.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
s001	1473	73.3%
s002	214	10.7%
s005	147	7.3%
1	41	2.0%
s003	32	1.6%
s101	25	1.2%
s004	23	1.1%
1a7	16	0.8%
s201	13	0.6%
s021	12	0.6%
Other values (8)	13	0.6%

호번호
Real number (ℝ)

HIGH CORRELATION

Distinct	125
Distinct (%)	6.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	75.922847

Minimum	1
Maximum	428
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	101
Q3	106
95-th percentile	212
Maximum	428
Range	427
Interquartile range (IQR)	102

Descriptive statistics

Standard deviation	76.139462
Coefficient of variation (CV)	1.0028531
Kurtosis	1.0364146
Mean	75.922847
Median Absolute Deviation (MAD)	93
Skewness	0.98854559
Sum	152529
Variance	5797.2177
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
101	179	8.9%
1	159	7.9%
3	136	6.8%
102	132	6.6%
2	126	6.3%
103	125	6.2%
104	100	5.0%
4	100	5.0%
5	87	4.3%
6	84	4.2%
Other values (115)	781	38.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	159	7.9%
2	126	6.3%
3	136	6.8%
4	100	5.0%
5	87	4.3%
6	84	4.2%
7	51	2.5%
8	36	1.8%
9	26	1.3%
10	20	1.0%

Value	Count	Frequency (%)
428	1	< 0.1%
427	1	< 0.1%
426	1	< 0.1%
425	1	< 0.1%
424	1	< 0.1%
317	1	< 0.1%
316	1	< 0.1%
315	1	< 0.1%
314	1	< 0.1%
313	1	< 0.1%

층
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

1층	1733
2층	171
지하	66
3층	22
지하2층	17

Length

Max length	4
Median length	2
Mean length	2.0169238
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
1층	1733	86.3%
2층	171	8.5%
지하	66	3.3%
3층	22	1.1%
지하2층	17	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1층	1733	86.3%
2층	171	8.5%
지하	66	3.3%
3층	22	1.1%
지하2층	17	0.8%

전용면적
Real number (ℝ)

HIGH CORRELATION

Distinct	561
Distinct (%)	27.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.741478

Minimum	19.79
Maximum	591.76
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	19.79
5-th percentile	29.47
Q1	33.6
median	37.5
Q3	48.96
95-th percentile	90.752
Maximum	591.76
Range	571.97
Interquartile range (IQR)	15.36

Descriptive statistics

Standard deviation	30.874158
Coefficient of variation (CV)	0.6605302
Kurtosis	99.913984
Mean	46.741478
Median Absolute Deviation (MAD)	5.5
Skewness	7.7705465
Sum	93903.63
Variance	953.21363
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32.0	87	4.3%
36.0	59	2.9%
33.6	52	2.6%
40.0	26	1.3%
36.49	23	1.1%
44.0	18	0.9%
37.78	18	0.9%
32.4	18	0.9%
35.2	17	0.8%
30.8	16	0.8%
Other values (551)	1675	83.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
19.79	1	< 0.1%
21.39	5	0.2%
22.31	2	0.1%
22.44	2	0.1%
22.55	2	0.1%
23.4	1	< 0.1%
23.49	4	0.2%
23.69	1	< 0.1%
23.94	4	0.2%
24.21	4	0.2%

Value	Count	Frequency (%)
591.76	1	< 0.1%
539.44	1	< 0.1%
319.2	6	0.3%
280.25	1	< 0.1%
184.63	2	0.1%
164.82	1	< 0.1%
162.11	1	< 0.1%
161.49	1	< 0.1%
159.33	1	< 0.1%
153.21	1	< 0.1%

주거공용면적
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	636
Distinct (%)	31.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.231277

Minimum	0
Maximum	410.998
Zeros	81
Zeros (%)	4.0%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	0
5-th percentile	2.3893
Q1	4.9607
median	8.48
Q3	19.9558
95-th percentile	46.48788
Maximum	410.998
Range	410.998
Interquartile range (IQR)	14.9951

Descriptive statistics

Standard deviation	20.50736
Coefficient of variation (CV)	1.3463979
Kurtosis	122.04352
Mean	15.231277
Median Absolute Deviation (MAD)	4.78
Skewness	7.9777689
Sum	30599.636
Variance	420.5518
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	81	4.0%
5.456	28	1.4%
3.7975	23	1.1%
2.471	23	1.1%
3.8666	18	0.9%
6.2258	18	0.9%
18.8082	18	0.9%
7.4889	16	0.8%
26.0889	14	0.7%
19.1566	14	0.7%
Other values (626)	1756	87.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	81	4.0%
1.4824	4	0.2%
1.7525	4	0.2%
1.813	1	< 0.1%
1.9759	4	0.2%
2.0427	2	0.1%
2.0483	1	< 0.1%
2.206	1	< 0.1%
2.3569	2	0.1%
2.3893	10	0.5%

Value	Count	Frequency (%)
410.998	1	< 0.1%
374.6599	1	< 0.1%
194.6433	1	< 0.1%
125.4157	6	0.3%
114.4731	1	< 0.1%
112.591	1	< 0.1%
112.1603	1	< 0.1%
110.6602	1	< 0.1%
106.4096	1	< 0.1%
99.8602	1	< 0.1%

기타공용면적
Real number (ℝ)

ZEROS

Distinct	77
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.90370906

Minimum	0
Maximum	31.8721
Zeros	1837
Zeros (%)	91.4%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	8.19412
Maximum	31.8721
Range	31.8721
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.3426384
Coefficient of variation (CV)	3.6987993
Kurtosis	26.222604
Mean	0.90370906
Median Absolute Deviation (MAD)	0
Skewness	4.6485417
Sum	1815.5515
Variance	11.173232
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	1837	91.4%
6.9175	16	0.8%
7.7004	6	0.3%
9.1554	6	0.3%
7.249	6	0.3%
4.9443	5	0.2%
4.8785	5	0.2%
13.2827	4	0.2%
5.0739	4	0.2%
18.7456	4	0.2%
Other values (67)	116	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1837	91.4%
4.8785	5	0.2%
4.9443	5	0.2%
5.0739	4	0.2%
5.1388	2	0.1%
6.3228	3	0.1%
6.3842	1	< 0.1%
6.9175	16	0.8%
7.0729	1	< 0.1%
7.1142	1	< 0.1%

Value	Count	Frequency (%)
31.8721	2	0.1%
30.295	2	0.1%
26.3185	2	0.1%
25.2806	2	0.1%
20.9335	2	0.1%
19.4481	1	< 0.1%
18.9804	1	< 0.1%
18.9803	2	0.1%
18.7456	4	0.2%
17.192	1	< 0.1%

계약면적
Real number (ℝ)

HIGH CORRELATION

Distinct	672
Distinct (%)	33.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.038171

Minimum	21.996
Maximum	1367.6198
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	21.996
5-th percentile	34.99
Q1	40.0912
median	48.4522
Q3	71.9886
95-th percentile	173.5966
Maximum	1367.6198
Range	1345.6238
Interquartile range (IQR)	31.8974

Descriptive statistics

Standard deviation	66.231217
Coefficient of variation (CV)	0.94564458
Kurtosis	129.38142
Mean	70.038171
Median Absolute Deviation (MAD)	9.8054
Skewness	8.3649998
Sum	140706.69
Variance	4386.5741
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39.056	28	1.4%
40.2875	23	1.1%
34.471	23	1.1%
35.8666	18	0.9%
56.5882	18	0.9%
50.9175	16	0.8%
46.1889	16	0.8%
53.4758	15	0.7%
64.5766	14	0.7%
92.4889	14	0.7%
Other values (662)	1824	90.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21.996	1	< 0.1%
25.72	3	0.1%
27.9028	4	0.2%
27.94	2	0.1%
28.7818	4	0.2%
29.1233	4	0.2%
29.38	2	0.1%
29.51	4	0.2%
29.67	2	0.1%
29.87	5	0.2%

Value	Count	Frequency (%)
1367.6198	1	< 0.1%
1246.7027	1	< 0.1%
647.6871	1	< 0.1%
444.6157	6	0.3%
380.9162	1	< 0.1%
374.6531	1	< 0.1%
373.2202	1	< 0.1%
368.2283	1	< 0.1%
354.0843	1	< 0.1%
332.2907	1	< 0.1%

건축물용도
Categorical

IMBALANCE

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

근린생활시설	1975
제2종근린생활시설	17
제1종근린생활시설	16
교육연구시설	1

Length

Max length	9
Median length	6
Mean length	6.0492782
Min length	6

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

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

Common Values

Value	Count	Frequency (%)
근린생활시설	1975	98.3%
제2종근린생활시설	17	0.8%
제1종근린생활시설	16	0.8%
교육연구시설	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
근린생활시설	1975	98.3%
제2종근린생활시설	17	0.8%
제1종근린생활시설	16	0.8%
교육연구시설	1	< 0.1%

임대보증금
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	532
Distinct (%)	42.2%
Missing	748
Missing (%)	37.2%
Infinite	0
Infinite (%)	0.0%
Mean	13051768

Minimum	0
Maximum	71001000
Zeros	4
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	0
5-th percentile	4104000
Q1	7656000
median	11380000
Q3	16128000
95-th percentile	27604000
Maximum	71001000
Range	71001000
Interquartile range (IQR)	8472000

Descriptive statistics

Standard deviation	8235601.9
Coefficient of variation (CV)	0.63099513
Kurtosis	6.9791805
Mean	13051768
Median Absolute Deviation (MAD)	4010000
Skewness	2.0796982
Sum	1.6458279 × 10¹⁰
Variance	6.7825138 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12396000	15	0.7%
7608000	12	0.6%
13392000	12	0.6%
13464000	11	0.5%
9312000	9	0.4%
15168000	9	0.4%
4104000	8	0.4%
8328000	8	0.4%
9600000	7	0.3%
23784000	7	0.3%
Other values (522)	1163	57.9%
(Missing)	748	37.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	0.2%
1872000	2	0.1%
2088000	1	< 0.1%
2208000	1	< 0.1%
2688000	1	< 0.1%
2888000	1	< 0.1%
2965000	2	0.1%
3096000	1	< 0.1%
3240000	3	0.1%
3288000	2	0.1%

Value	Count	Frequency (%)
71001000	1	< 0.1%
61944000	1	< 0.1%
57192000	2	0.1%
54456000	2	0.1%
48072000	2	0.1%
47280000	5	0.2%
46248000	1	< 0.1%
44352000	2	0.1%
42504000	3	0.1%
40968000	2	0.1%

임대료
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	504
Distinct (%)	40.0%
Missing	748
Missing (%)	37.2%
Infinite	0
Infinite (%)	0.0%
Mean	546016.26

Minimum	0
Maximum	2958000
Zeros	2
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	0
5-th percentile	173000
Q1	321000
median	474100
Q3	672000
95-th percentile	1163000
Maximum	2958000
Range	2958000
Interquartile range (IQR)	351000

Descriptive statistics

Standard deviation	344386.3
Coefficient of variation (CV)	0.63072535
Kurtosis	6.8450259
Mean	546016.26
Median Absolute Deviation (MAD)	167000
Skewness	2.0718199
Sum	6.8852651 × 10⁸
Variance	1.1860192 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
516000	18	0.9%
317000	12	0.6%
558000	12	0.6%
561000	12	0.6%
228000	12	0.6%
453000	9	0.4%
632000	9	0.4%
402000	9	0.4%
388000	9	0.4%
400000	8	0.4%
Other values (494)	1151	57.3%
(Missing)	748	37.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	0.1%
78000	2	0.1%
87000	1	< 0.1%
92000	1	< 0.1%
112000	1	< 0.1%
120000	1	< 0.1%
123580	2	0.1%
129000	1	< 0.1%
135000	3	0.1%
137000	2	0.1%

Value	Count	Frequency (%)
2958000	1	< 0.1%
2581000	1	< 0.1%
2383000	2	0.1%
2269000	2	0.1%
2003000	2	0.1%
1970000	5	0.2%
1927000	1	< 0.1%
1848000	2	0.1%
1771000	3	0.1%
1707000	2	0.1%

공급예정금액
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	298
Distinct (%)	49.7%
Missing	1410
Missing (%)	70.2%
Infinite	0
Infinite (%)	0.0%
Mean	26956543

Minimum	3744000
Maximum	3.14472 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	3744000
5-th percentile	7056000
Q1	15084000
median	21216000
Q3	31896000
95-th percentile	60292800
Maximum	3.14472 × 10⁸
Range	3.10728 × 10⁸
Interquartile range (IQR)	16812000

Descriptive statistics

Standard deviation	25366027
Coefficient of variation (CV)	0.94099702
Kurtosis	62.206779
Mean	26956543
Median Absolute Deviation (MAD)	7536000
Skewness	6.4442973
Sum	1.6146969 × 10¹⁰
Variance	6.4343531 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15816000	8	0.4%
6863760	8	0.4%
16104000	8	0.4%
20640000	6	0.3%
36792000	6	0.3%
21216000	6	0.3%
20304000	6	0.3%
23167500	5	0.2%
44472000	5	0.2%
29064000	5	0.2%
Other values (288)	536	26.7%
(Missing)	1410	70.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3744000	1	< 0.1%
5904000	3	0.1%
6216000	3	0.1%
6648000	3	0.1%
6792000	2	0.1%
6863000	1	< 0.1%
6863760	8	0.4%
6934320	2	0.1%
6984000	3	0.1%
7032000	3	0.1%

Value	Count	Frequency (%)
314472000	1	< 0.1%
314448000	1	< 0.1%
206016000	2	0.1%
108432000	2	0.1%
92496000	3	0.1%
80952000	4	0.2%
80856000	1	< 0.1%
76320000	1	< 0.1%
74664000	2	0.1%
73800000	1	< 0.1%

Heatmap
Table

	상가모집구분	우편번호	상세주소	동번호	호번호	층	전용면적	주거공용면적	기타공용면적	계약면적	건축물용도	임대보증금	임대료	공급예정금액
상가모집구분	1.000	0.106	0.376	0.173	0.103	0.108	0.127	0.131	0.079	0.132	0.056	NaN	NaN	NaN
우편번호	0.106	1.000	0.999	0.765	0.369	0.590	0.200	0.185	0.568	0.195	0.175	0.473	0.471	0.360
상세주소	0.376	0.999	1.000	0.989	0.874	0.715	0.703	0.817	0.719	0.752	0.293	0.700	0.706	0.666
동번호	0.173	0.765	0.989	1.000	0.606	0.567	0.329	0.568	0.665	0.386	0.570	0.306	0.302	0.327
호번호	0.103	0.369	0.874	0.606	1.000	0.724	0.248	0.309	0.229	0.254	0.038	0.185	0.188	0.565
층	0.108	0.590	0.715	0.567	0.724	1.000	0.367	0.388	0.524	0.386	0.165	0.206	0.208	0.364
전용면적	0.127	0.200	0.703	0.329	0.248	0.367	1.000	0.989	0.380	0.998	0.572	0.457	0.456	0.773
주거공용면적	0.131	0.185	0.817	0.568	0.309	0.388	0.989	1.000	0.245	0.992	0.572	0.424	0.424	0.745
기타공용면적	0.079	0.568	0.719	0.665	0.229	0.524	0.380	0.245	1.000	0.441	0.184	0.333	0.331	0.087
계약면적	0.132	0.195	0.752	0.386	0.254	0.386	0.998	0.992	0.441	1.000	0.572	0.516	0.515	0.747
건축물용도	0.056	0.175	0.293	0.570	0.038	0.165	0.572	0.572	0.184	0.572	1.000	0.083	0.083	0.183
임대보증금	NaN	0.473	0.700	0.306	0.185	0.206	0.457	0.424	0.333	0.516	0.083	1.000	1.000	NaN
임대료	NaN	0.471	0.706	0.302	0.188	0.208	0.456	0.424	0.331	0.515	0.083	1.000	1.000	NaN
공급예정금액	NaN	0.360	0.666	0.327	0.565	0.364	0.773	0.745	0.087	0.747	0.183	NaN	NaN	1.000

Heatmap
Table

	층	건축물용도	상가모집구분	동번호
층	1.000	0.135	0.132	0.331
건축물용도	0.135	1.000	0.037	0.347
상가모집구분	0.132	0.037	1.000	0.135
동번호	0.331	0.347	0.135	1.000

Heatmap
Table

	우편번호	호번호	전용면적	주거공용면적	기타공용면적	계약면적	임대보증금	임대료	공급예정금액	상가모집구분	동번호	층	건축물용도
우편번호	1.000	0.059	0.078	-0.170	0.145	0.032	-0.306	-0.306	-0.494	0.089	0.422	0.284	0.106
호번호	0.059	1.000	0.266	0.377	-0.119	0.347	0.001	0.001	0.086	0.110	0.323	0.577	0.026
전용면적	0.078	0.266	1.000	0.479	0.203	0.844	0.412	0.418	0.382	0.091	0.137	0.258	0.406
주거공용면적	-0.170	0.377	0.479	1.000	-0.127	0.764	0.321	0.313	0.451	0.094	0.262	0.275	0.406
기타공용면적	0.145	-0.119	0.203	-0.127	1.000	0.255	0.132	0.130	-0.008	0.061	0.326	0.243	0.111
계약면적	0.032	0.347	0.844	0.764	0.255	1.000	0.396	0.400	0.417	0.095	0.163	0.273	0.406
임대보증금	-0.306	0.001	0.412	0.321	0.132	0.396	1.000	0.991	NaN	1.000	0.123	0.124	0.049
임대료	-0.306	0.001	0.418	0.313	0.130	0.400	0.991	1.000	NaN	1.000	0.122	0.125	0.049
공급예정금액	-0.494	0.086	0.382	0.451	-0.008	0.417	NaN	NaN	1.000	1.000	0.173	0.161	0.077
상가모집구분	0.089	0.110	0.091	0.094	0.061	0.095	1.000	1.000	1.000	1.000	0.135	0.132	0.037
동번호	0.422	0.323	0.137	0.262	0.326	0.163	0.123	0.122	0.173	0.135	1.000	0.331	0.347
층	0.284	0.577	0.258	0.275	0.243	0.273	0.124	0.125	0.161	0.132	0.331	1.000	0.135
건축물용도	0.106	0.026	0.406	0.406	0.111	0.406	0.049	0.049	0.077	0.037	0.347	0.135	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

	공고명	상가모집구분	공고일자	우편번호	주소	상세주소	단지명	동번호	호번호	층	전용면적	주거공용면적	기타공용면적	계약면적	건축물용도	임대보증금	임대료	공급예정금액
0	익산인화 공공임대상가(LH희망상가) 입점자 모집 공고(일반형)	입찰	2020-02-18	54677	전라북도 익산시 목천로 318(인화동2가)	<NA>	익산인화 행복주택	1A7	102	1층	44.0	0.0	6.9175	50.9175	근린생활시설	<NA>	<NA>	18288000
1	전주반월2 공공임대상가(LH희망상가) 입점자 모집공고(일반형)	입찰	2020-02-18	54808	전라북도 전주시 덕진구 혁신로 665(반월동 전주반월2엘에이치아파트)	<NA>	전주반월(2)지구 국민임대	S001	105	1층	36.0	7.2965	0.0	43.2965	근린생활시설	<NA>	<NA>	14091000
2	청주동남A-5블록 LH희망상가 입점자 모집공고(일반형)	입찰	2020-02-21	28758	충청북도 청주시 상당구 월운로 146(용암동)	청주동남 LH희망상가	청주동남5	S001	1	1층	35.31	3.8481	0.0	39.1581	근린생활시설	<NA>	<NA>	22080000
3	청주동남A-5블록 LH희망상가 입점자 모집공고(일반형)	입찰	2020-02-21	28758	충청북도 청주시 상당구 월운로 146(용암동)	청주동남 LH희망상가	청주동남5	S001	2	1층	35.14	3.8296	0.0	38.9696	근린생활시설	<NA>	<NA>	21960000
4	청주동남A-5블록 LH희망상가 입점자 모집공고(공공지원형)	공모심사	2020-02-21	28758	충청북도 청주시 상당구 월운로 146(용암동)	청주동남 LH희망상가	청주동남5	S001	3	1층	34.99	3.8132	0.0	38.8032	근린생활시설	9456000	394000	<NA>
5	청주동남A-5블록 LH희망상가 입점자 모집공고(공공지원형)	공모심사	2020-02-21	28758	충청북도 청주시 상당구 월운로 146(용암동)	청주동남 LH희망상가	청주동남5	S001	4	1층	35.34	3.8514	0.0	39.1914	근린생활시설	15288000	637000	<NA>
6	청주동남A-5블록 LH희망상가 입점자 모집공고(공공지원형)	공모심사	2020-02-21	28758	충청북도 청주시 상당구 월운로 146(용암동)	청주동남 LH희망상가	청주동남5	S001	5	1층	35.34	3.8514	0.0	39.1914	근린생활시설	15288000	637000	<NA>
7	청주동남A-5블록 LH희망상가 입점자 모집공고(공공지원형)	공모심사	2020-02-21	28758	충청북도 청주시 상당구 월운로 146(용암동)	청주동남 LH희망상가	청주동남5	S001	6	1층	35.29	3.8459	0.0	39.1359	근린생활시설	9528000	397000	<NA>
8	부산정관A4블록 LH희망상가(공공지원형) 입점자 모집 공고	공모심사	2020-02-21	46008	부산광역시 기장군 정관읍 정관1로 51	<NA>	부산정관 행복주택(A-4BL)	1	101	1층	33.63	19.9558	0.0	53.5858	근린생활시설	8148000	339000	<NA>
9	부산정관A4블록 LH희망상가(공공지원형) 입점자 모집 공고	공모심사	2020-02-21	46008	부산광역시 기장군 정관읍 정관1로 51	<NA>	부산정관 행복주택(A-4BL)	1	102	1층	33.63	19.9558	0.0	53.5858	근린생활시설	7728000	322000	<NA>

	공고명	상가모집구분	공고일자	우편번호	주소	상세주소	단지명	동번호	호번호	층	전용면적	주거공용면적	계약면적	건축물용도	임대보증금	임대료	공급예정금액
1999	광주첨단 여수관문 광양와우 LH희망상가 공공지원형 입점자 모집]	공모심사	2023-10-12	57776	전라남도 광양시 눈소10길 49(마동 광양와우LH1단지)	<NA>	광양와우	S002	104	1층	40.0	5.16	45.16	근린생활시설	5604000	233500	<NA>
2000	여수관문 LH희망상가 입점자 모집공고(일반형)	입찰	2023-10-12	59741	전라남도 여수시 관문1길 14(관문동 여수관문행복주택)	여수관문 행복주택	여수관문	S001	3	1층	41.78	10.0766	51.8566	근린생활시설	<NA>	<NA>	9264000
2001	아산탕정2-A9BL LH희망상가 일반형 입점자 모집공고	입찰	2023-10-16	31473	충청남도 아산시 배방읍 동방로 219	<NA>	아산탕정 2-A9BL 행복주택	S001	1	1층	32.0	10.127	42.127	근린생활시설	<NA>	<NA>	35520000
2002	아산탕정2-A9BL LH희망상가 일반형 입점자 모집공고	입찰	2023-10-16	31473	충청남도 아산시 배방읍 동방로 219	<NA>	아산탕정 2-A9BL 행복주택	S001	3	1층	32.0	10.127	42.127	근린생활시설	<NA>	<NA>	17760000
2003	아산탕정2-A9BL LH희망상가 공공지원형 입점자 모집공고	공모심사	2023-10-16	31473	충청남도 아산시 배방읍 동방로 219	<NA>	아산탕정 2-A9BL 행복주택	S001	4	1층	34.8	11.0131	45.8131	근린생활시설	15648000	652000	<NA>
2004	아산탕정2-A9BL LH희망상가 공공지원형 입점자 모집공고	공모심사	2023-10-16	31473	충청남도 아산시 배방읍 동방로 219	<NA>	아산탕정 2-A9BL 행복주택	S001	5	1층	34.8	11.0131	45.8131	근린생활시설	15648000	652000	<NA>
2005	아산탕정2-A9BL LH희망상가 공공지원형 입점자 모집공고	공모심사	2023-10-16	31473	충청남도 아산시 배방읍 동방로 219	<NA>	아산탕정 2-A9BL 행복주택	S001	6	1층	34.8	11.0131	45.8131	근린생활시설	9792000	408000	<NA>
2006	아산탕정2-A9BL LH희망상가 공공지원형 입점자 모집공고	공모심사	2023-10-16	31473	충청남도 아산시 배방읍 동방로 219	<NA>	아산탕정 2-A9BL 행복주택	S001	7	1층	34.8	11.0131	45.8131	근린생활시설	9792000	408000	<NA>
2007	아산탕정2-A9BL LH희망상가 공공지원형 입점자 모집공고	공모심사	2023-10-16	31473	충청남도 아산시 배방읍 동방로 219	<NA>	아산탕정 2-A9BL 행복주택	S001	8	1층	34.8	11.0131	45.8131	근린생활시설	9792000	408000	<NA>
2008	아산탕정2-A9BL LH희망상가 공공지원형 입점자 모집공고	공모심사	2023-10-16	31473	충청남도 아산시 배방읍 동방로 219	<NA>	아산탕정 2-A9BL 행복주택	S001	9	1층	34.8	11.0131	45.8131	근린생활시설	9792000	408000	<NA>

Most frequently occurring

	공고명	상가모집구분	공고일자	우편번호	주소	상세주소	단지명	동번호	호번호	층	전용면적	주거공용면적	계약면적	건축물용도	임대보증금	임대료	공급예정금액	# duplicates
45	대구읍내 행복주택 LH희망상가(공공지원형) 입점자 모집공고	공모심사	2021-09-13	41438	대구광역시 북구 칠곡중앙대로 434(읍내동 대구읍내 행복주택)	<NA>	대구읍내 행복주택	S005	108	1층	51.36	19.8149	95.1336	근린생활시설	23784000	991000	<NA>	3
46	대구읍내 행복주택 LH희망상가(공공지원형) 입점자 모집공고	공모심사	2021-09-13	41438	대구광역시 북구 칠곡중앙대로 434(읍내동 대구읍내 행복주택)	<NA>	대구읍내 행복주택	S005	109	1층	68.17	26.3003	126.2706	근린생활시설	18552000	773000	<NA>	3
47	대구읍내 행복주택 LH희망상가(공공지원형) 입점자 모집공고	공모심사	2021-09-13	41438	대구광역시 북구 칠곡중앙대로 434(읍내동 대구읍내 행복주택)	<NA>	대구읍내 행복주택	S005	110	1층	108.56	41.883	201.0847	근린생활시설	47280000	1970000	<NA>	3
48	대구읍내 행복주택 LH희망상가(공공지원형) 입점자 모집공고	공모심사	2021-09-13	41438	대구광역시 북구 칠곡중앙대로 434(읍내동 대구읍내 행복주택)	<NA>	대구읍내 행복주택	S005	111	1층	51.43	19.8419	95.2632	근린생활시설	13992000	583000	<NA>	3
49	대구읍내 행복주택 LH희망상가(공공지원형) 입점자 모집공고	공모심사	2021-09-13	41438	대구광역시 북구 칠곡중앙대로 434(읍내동 대구읍내 행복주택)	<NA>	대구읍내 행복주택	S005	112	1층	69.0	26.6205	127.808	근린생활시설	30048000	1252000	<NA>	3
50	대구읍내 행복주택 LH희망상가(공공지원형) 입점자 모집공고	공모심사	2021-09-13	41438	대구광역시 북구 칠곡중앙대로 434(읍내동 대구읍내 행복주택)	<NA>	대구읍내 행복주택	S005	113	1층	44.92	17.3303	83.2048	근린생활시설	19968000	832000	<NA>	3
51	대구읍내 행복주택 LH희망상가(공공지원형) 입점자 모집공고	공모심사	2021-09-13	41438	대구광역시 북구 칠곡중앙대로 434(읍내동 대구읍내 행복주택)	<NA>	대구읍내 행복주택	S005	116	1층	70.98	27.3844	131.4755	근린생활시설	14232000	593000	<NA>	3
52	대구읍내 행복주택 LH희망상가(공공지원형) 입점자 모집공고	공모심사	2021-09-13	41438	대구광역시 북구 칠곡중앙대로 434(읍내동 대구읍내 행복주택)	<NA>	대구읍내 행복주택	S005	117	1층	75.25	29.0318	139.3848	근린생활시설	15072000	628000	<NA>	3
53	대구읍내 행복주택 LH희망상가(공공지원형) 입점자 모집공고	공모심사	2021-09-13	41438	대구광역시 북구 칠곡중앙대로 434(읍내동 대구읍내 행복주택)	<NA>	대구읍내 행복주택	S005	118	1층	69.68	26.8829	129.0676	근린생활시설	13968000	582000	<NA>	3
54	대구읍내 행복주택 LH희망상가(공공지원형) 입점자 모집공고	공모심사	2021-09-13	41438	대구광역시 북구 칠곡중앙대로 434(읍내동 대구읍내 행복주택)	<NA>	대구읍내 행복주택	S005	119	1층	69.31	26.7401	128.3822	근린생활시설	13896000	579000	<NA>	3

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Other Symbol

Other Punctuation

Close Punctuation

Open Punctuation

Letter Number

Space Separator

Dash Punctuation

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Misc Symbols

Geometric Shapes

Number Forms

None

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Space Separator

Close Punctuation

Open Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator