gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	1940
Missing cells	10
Missing cells (%)	< 0.1%
Duplicate rows	1
Duplicate rows (%)	0.1%
Total size in memory	301.4 KiB
Average record size in memory	159.1 B

Variable types

Categorical	7
Text	4
Numeric	7
DateTime	1

Dataset

Description	한국토지주택공사에서 위탁관리중인 마이홈포털의 기존 행복주택 정보로, 광역시도,단지명,세대수,주택유형,임대사업자,공급면적등의 정보를 제공합니다.
Author	한국토지주택공사
URL	https://www.data.go.kr/data/15084930/fileData.do

Alerts

`임대종류` has constant value ""	Constant
Dataset has 1 (0.1%) duplicate rows	Duplicates
`공급면적(전용)` is highly overall correlated with `공급면적(공용)` and 2 other fields	High correlation
`공급면적(공용)` is highly overall correlated with `공급면적(전용)` and 2 other fields	High correlation
`임대보증금` is highly overall correlated with `공급면적(전용)` and 2 other fields	High correlation
`월임대료` is highly overall correlated with `공급면적(전용)` and 2 other fields	High correlation
`광역시도` is highly overall correlated with `임대사업자` and 1 other fields	High correlation
`주택유형` is highly overall correlated with `임대사업자` and 1 other fields	High correlation
`임대사업자` is highly overall correlated with `광역시도` and 3 other fields	High correlation
`건물형태` is highly overall correlated with `임대사업자`	High correlation
`난방방식` is highly overall correlated with `광역시도` and 1 other fields	High correlation
`승강기설치여부` is highly overall correlated with `주택유형`	High correlation
`주택유형` is highly imbalanced (78.0%)	Imbalance
`주차수` has 1014 (52.3%) zeros	Zeros
`임대보증금` has 37 (1.9%) zeros	Zeros
`월임대료` has 38 (2.0%) zeros	Zeros
`전환보증금` has 601 (31.0%) zeros	Zeros

Reproduction

Analysis started	2024-03-15 02:26:04.001328
Analysis finished	2024-03-15 02:26:20.434328
Duration	16.43 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

임대종류
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

행복주택	1940

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
행복주택	1940	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
행복주택	1940	100.0%

광역시도
Categorical

HIGH CORRELATION

Distinct	17
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

경기도	612
서울특별시	546
충청남도	117
인천광역시	81
경상남도	73
Other values (12)	511

Length

Max length	7
Median length	5
Mean length	4.2943299
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
경기도	612	31.5%
서울특별시	546	28.1%
충청남도	117	6.0%
인천광역시	81	4.2%
경상남도	73	3.8%
부산광역시	71	3.7%
제주특별자치도	70	3.6%
광주광역시	63	3.2%
전라북도	56	2.9%
전라남도	54	2.8%
Other values (7)	197	10.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
경기도	612	31.5%
서울특별시	546	28.1%
충청남도	117	6.0%
인천광역시	81	4.2%
경상남도	73	3.8%
부산광역시	71	3.7%
제주특별자치도	70	3.6%
광주광역시	63	3.2%
전라북도	56	2.9%
전라남도	54	2.8%
Other values (7)	197	10.2%

시군구
Text

Distinct	137
Distinct (%)	7.1%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

Length

Max length	9
Median length	3
Mean length	3.5149485
Min length	2

Characters and Unicode

Total characters	6819
Distinct characters	113
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	4 ?
Unique (%)	0.2%

Sample

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

Value	Count	Frequency (%)
화성시	154	7.1%
제주시	61	2.8%
구로구	55	2.5%
남구	45	2.1%
송파구	44	2.0%
평택시	43	2.0%
서구	42	1.9%
강동구	42	1.9%
수원시	40	1.8%
은평구	40	1.8%
Other values (136)	1605	73.9%

Most occurring characters

Value	Count	Frequency (%)
구	1097	16.1%
시	1031	15.1%
성	259	3.8%
주	253	3.7%
	231	3.4%
남	217	3.2%
양	177	2.6%
서	177	2.6%
동	173	2.5%
화	160	2.3%
Other values (103)	3044	44.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	6588	96.6%
Space Separator	231	3.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
구	1097	16.7%
시	1031	15.6%
성	259	3.9%
주	253	3.8%
남	217	3.3%
양	177	2.7%
서	177	2.7%
동	173	2.6%
화	160	2.4%
산	138	2.1%
Other values (102)	2906	44.1%

Space Separator

Value	Count	Frequency (%)
	231	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	6588	96.6%
Common	231	3.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
구	1097	16.7%
시	1031	15.6%
성	259	3.9%
주	253	3.8%
남	217	3.3%
양	177	2.7%
서	177	2.7%
동	173	2.6%
화	160	2.4%
산	138	2.1%
Other values (102)	2906	44.1%

Common

Value	Count	Frequency (%)
	231	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	6588	96.6%
ASCII	231	3.4%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
구	1097	16.7%
시	1031	15.6%
성	259	3.9%
주	253	3.8%
남	217	3.3%
양	177	2.7%
서	177	2.7%
동	173	2.6%
화	160	2.4%
산	138	2.1%
Other values (102)	2906	44.1%

ASCII

Value	Count	Frequency (%)
	231	100.0%

도로명주소
Text

Distinct	496
Distinct (%)	25.6%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

Length

Max length	29
Median length	25
Mean length	18.86701
Min length	13

Characters and Unicode

Total characters	36602
Distinct characters	289
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	51 ?
Unique (%)	2.6%

Sample

1st row	서울특별시 종로구 송월길 130
2nd row	서울특별시 종로구 지봉로 37-29
3rd row	서울특별시 종로구 지봉로 37-29
4th row	서울특별시 종로구 지봉로 37-29
5th row	서울특별시 종로구 지봉로 37-29

Value	Count	Frequency (%)
경기도	612	7.4%
서울특별시	546	6.6%
화성시	154	1.9%
충청남도	117	1.4%
인천광역시	81	1.0%
경상남도	73	0.9%
부산광역시	71	0.9%
제주특별자치도	70	0.8%
광주광역시	63	0.8%
제주시	61	0.7%
Other values (916)	6447	77.7%

Most occurring characters

Value	Count	Frequency (%)
	6355	17.4%
시	1876	5.1%
로	1794	4.9%
1	1428	3.9%
구	1142	3.1%
도	1105	3.0%
서	855	2.3%
2	854	2.3%
경	756	2.1%
길	730	2.0%
Other values (279)	19707	53.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	23637	64.6%
Space Separator	6355	17.4%
Decimal Number	6324	17.3%
Dash Punctuation	286	0.8%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	1876	7.9%
로	1794	7.6%
구	1142	4.8%
도	1105	4.7%
서	855	3.6%
경	756	3.2%
길	730	3.1%
기	669	2.8%
별	664	2.8%
특	664	2.8%
Other values (267)	13382	56.6%

Decimal Number

Value	Count	Frequency (%)
1	1428	22.6%
2	854	13.5%
0	659	10.4%
3	623	9.9%
4	608	9.6%
5	540	8.5%
6	432	6.8%
8	431	6.8%
7	379	6.0%
9	370	5.9%

Space Separator

Value	Count	Frequency (%)
	6355	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	286	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	23637	64.6%
Common	12965	35.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	1876	7.9%
로	1794	7.6%
구	1142	4.8%
도	1105	4.7%
서	855	3.6%
경	756	3.2%
길	730	3.1%
기	669	2.8%
별	664	2.8%
특	664	2.8%
Other values (267)	13382	56.6%

Common

Value	Count	Frequency (%)
	6355	49.0%
1	1428	11.0%
2	854	6.6%
0	659	5.1%
3	623	4.8%
4	608	4.7%
5	540	4.2%
6	432	3.3%
8	431	3.3%
7	379	2.9%
Other values (2)	656	5.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	23637	64.6%
ASCII	12965	35.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6355	49.0%
1	1428	11.0%
2	854	6.6%
0	659	5.1%
3	623	4.8%
4	608	4.7%
5	540	4.2%
6	432	3.3%
8	431	3.3%
7	379	2.9%
Other values (2)	656	5.1%

Hangul

Value	Count	Frequency (%)
시	1876	7.9%
로	1794	7.6%
구	1142	4.8%
도	1105	4.7%
서	855	3.6%
경	756	3.2%
길	730	3.1%
기	669	2.8%
별	664	2.8%
특	664	2.8%
Other values (267)	13382	56.6%

단지명
Text

Distinct	502
Distinct (%)	25.9%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

Length

Max length	29
Median length	24
Mean length	11.953608
Min length	3

Characters and Unicode

Total characters	23190
Distinct characters	369
Distinct categories	10 ?
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	58 ?
Unique (%)	3.0%

Sample

1st row	경희궁자이(돈의문1)_서울리츠2호
2nd row	제이타워오피스텔(창신동255-1)
3rd row	제이타워오피스텔(창신동255-1)
4th row	제이타워오피스텔(창신동255-1)
5th row	제이타워오피스텔(창신동255-1)

Value	Count	Frequency (%)
행복주택	471	12.9%
화성동탄2	85	2.3%
lh2단지	53	1.5%
신혼희망타운	40	1.1%
1단지	24	0.7%
꿈비채	23	0.6%
a-1블록	20	0.5%
e편한세상	20	0.5%
2단지	20	0.5%
마음에온함덕	20	0.5%
Other values (655)	2864	78.7%

Most occurring characters

Value	Count	Frequency (%)
	1700	7.3%
주	910	3.9%
복	796	3.4%
행	793	3.4%
택	724	3.1%
1	632	2.7%
지	625	2.7%
2	611	2.6%
단	520	2.2%
)	508	2.2%
Other values (359)	15371	66.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	16482	71.1%
Decimal Number	2146	9.3%
Space Separator	1700	7.3%
Uppercase Letter	1282	5.5%
Close Punctuation	508	2.2%
Open Punctuation	508	2.2%
Dash Punctuation	396	1.7%
Connector Punctuation	109	0.5%
Lowercase Letter	36	0.2%
Other Punctuation	23	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
주	910	5.5%
복	796	4.8%
행	793	4.8%
택	724	4.4%
지	625	3.8%
단	520	3.2%
동	322	2.0%
리	279	1.7%
산	274	1.7%
천	266	1.6%
Other values (323)	10973	66.6%

Uppercase Letter

Value	Count	Frequency (%)
L	383	29.9%
A	309	24.1%
H	258	20.1%
B	168	13.1%
C	35	2.7%
S	26	2.0%
D	18	1.4%
R	18	1.4%
M	17	1.3%
K	15	1.2%
Other values (7)	35	2.7%

Decimal Number

Value	Count	Frequency (%)
1	632	29.5%
2	611	28.5%
3	213	9.9%
4	179	8.3%
5	129	6.0%
6	117	5.5%
7	109	5.1%
0	59	2.7%
9	51	2.4%
8	46	2.1%

Lowercase Letter

Value	Count	Frequency (%)
e	25	69.4%
b	7	19.4%
a	4	11.1%

Space Separator

Value	Count	Frequency (%)
	1700	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	508	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	508	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	396	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	109	100.0%

Other Punctuation

Value	Count	Frequency (%)
·	23	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	16482	71.1%
Common	5390	23.2%
Latin	1318	5.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
주	910	5.5%
복	796	4.8%
행	793	4.8%
택	724	4.4%
지	625	3.8%
단	520	3.2%
동	322	2.0%
리	279	1.7%
산	274	1.7%
천	266	1.6%
Other values (323)	10973	66.6%

Latin

Value	Count	Frequency (%)
L	383	29.1%
A	309	23.4%
H	258	19.6%
B	168	12.7%
C	35	2.7%
S	26	2.0%
e	25	1.9%
D	18	1.4%
R	18	1.4%
M	17	1.3%
Other values (10)	61	4.6%

Common

Value	Count	Frequency (%)
	1700	31.5%
1	632	11.7%
2	611	11.3%
)	508	9.4%
(	508	9.4%
-	396	7.3%
3	213	4.0%
4	179	3.3%
5	129	2.4%
6	117	2.2%
Other values (6)	397	7.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	16482	71.1%
ASCII	6685	28.8%
None	23	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1700	25.4%
1	632	9.5%
2	611	9.1%
)	508	7.6%
(	508	7.6%
-	396	5.9%
L	383	5.7%
A	309	4.6%
H	258	3.9%
3	213	3.2%
Other values (25)	1167	17.5%

Hangul

Value	Count	Frequency (%)
주	910	5.5%
복	796	4.8%
행	793	4.8%
택	724	4.4%
지	625	3.8%
단	520	3.2%
동	322	2.0%
리	279	1.7%
산	274	1.7%
천	266	1.6%
Other values (323)	10973	66.6%

None

Value	Count	Frequency (%)
·	23	100.0%

세대수
Real number (ℝ)

Distinct	270
Distinct (%)	13.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	414.27474

Minimum	1
Maximum	2200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.2 KiB

Quantile statistics

Minimum	1
5-th percentile	16
Q1	95
median	264
Q3	600.25
95-th percentile	1500
Maximum	2200
Range	2199
Interquartile range (IQR)	505.25

Descriptive statistics

Standard deviation	439.40116
Coefficient of variation (CV)	1.0606516
Kurtosis	1.7842028
Mean	414.27474
Median Absolute Deviation (MAD)	209
Skewness	1.5074205
Sum	803693
Variance	193073.38
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
200	58	3.0%
1640	53	2.7%
100	40	2.1%
450	34	1.8%
300	30	1.5%
48	26	1.3%
128	26	1.3%
600	26	1.3%
30	24	1.2%
40	23	1.2%
Other values (260)	1600	82.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	0.2%
2	7	0.4%
3	4	0.2%
4	5	0.3%
5	4	0.2%
6	7	0.4%
7	7	0.4%
8	11	0.6%
9	5	0.3%
10	8	0.4%

Value	Count	Frequency (%)
2200	5	0.3%
1942	8	0.4%
1700	7	0.4%
1640	53	2.7%
1600	4	0.2%
1500	22	1.1%
1492	3	0.2%
1464	5	0.3%
1401	9	0.5%
1400	6	0.3%

주택유형
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

아파트	1791
다세대주택	62
연립주택	61
다가구주택	24
<NA>	2

Length

Max length	5
Median length	3
Mean length	3.121134
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	아파트
2nd row	다세대주택
3rd row	다세대주택
4th row	다세대주택
5th row	다세대주택

Common Values

Value	Count	Frequency (%)
아파트	1791	92.3%
다세대주택	62	3.2%
연립주택	61	3.1%
다가구주택	24	1.2%
<NA>	2	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
아파트	1791	92.3%
다세대주택	62	3.2%
연립주택	61	3.1%
다가구주택	24	1.2%
na	2	0.1%

임대사업자
Categorical

HIGH CORRELATION

Distinct	27
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

SH공사	487
LH경기남부	345
LH경기북부	188
LH대전충남	115
LH광주전남	103
Other values (22)	702

Length

Max length	12
Median length	11
Mean length	5.3412371
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
SH공사	487	25.1%
LH경기남부	345	17.8%
LH경기북부	188	9.7%
LH대전충남	115	5.9%
LH광주전남	103	5.3%
LH인천	85	4.4%
LH경남	73	3.8%
LH대구경북	72	3.7%
LH전북	53	2.7%
제주특별자치도개발공사	52	2.7%
Other values (17)	367	18.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sh공사	487	25.1%
lh경기남부	345	17.8%
lh경기북부	188	9.7%
lh대전충남	115	5.9%
lh광주전남	103	5.3%
lh인천	85	4.4%
lh경남	73	3.8%
lh대구경북	72	3.7%
lh전북	53	2.7%
제주특별자치도개발공사	52	2.7%
Other values (17)	367	18.9%

준공일자
Date

Distinct	365
Distinct (%)	18.9%
Missing	10
Missing (%)	0.5%
Memory size	15.3 KiB

Minimum	2015-09-12 00:00:00
Maximum	2023-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

건물형태
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

<NA>	822
복도식	695
계단식	301
혼합식	122

Length

Max length	4
Median length	3
Mean length	3.4237113
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	822	42.4%
복도식	695	35.8%
계단식	301	15.5%
혼합식	122	6.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	822	42.4%
복도식	695	35.8%
계단식	301	15.5%
혼합식	122	6.3%

난방방식
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

<NA>	881
지역난방	481
개별난방	479
개별가스난방	89
지역가스난방	10

Length

Max length	6
Median length	4
Mean length	4.1020619
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	881	45.4%
지역난방	481	24.8%
개별난방	479	24.7%
개별가스난방	89	4.6%
지역가스난방	10	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	881	45.4%
지역난방	481	24.8%
개별난방	479	24.7%
개별가스난방	89	4.6%
지역가스난방	10	0.5%

승강기설치여부
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

<NA>	1069
전체동 설치	829
미설치	28
일부동 설치	14

Length

Max length	6
Median length	4
Mean length	4.8546392
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	전체동 설치
2nd row	전체동 설치
3rd row	전체동 설치
4th row	전체동 설치
5th row	전체동 설치

Common Values

Value	Count	Frequency (%)
<NA>	1069	55.1%
전체동 설치	829	42.7%
미설치	28	1.4%
일부동 설치	14	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	1069	38.4%
설치	843	30.3%
전체동	829	29.8%
미설치	28	1.0%
일부동	14	0.5%

주차수
Real number (ℝ)

ZEROS

Distinct	205
Distinct (%)	10.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	299.02526

Minimum	0
Maximum	12105
Zeros	1014
Zeros (%)	52.3%
Negative	0
Negative (%)	0.0%
Memory size	17.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	188
95-th percentile	1368
Maximum	12105
Range	12105
Interquartile range (IQR)	188

Descriptive statistics

Standard deviation	1040.8492
Coefficient of variation (CV)	3.4808068
Kurtosis	81.494971
Mean	299.02526
Median Absolute Deviation (MAD)	0
Skewness	8.1884686
Sum	580109
Variance	1083367
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1014	52.3%
49	30	1.5%
562	18	0.9%
25	16	0.8%
4	15	0.8%
472	15	0.8%
98	15	0.8%
17	14	0.7%
311	14	0.7%
10	13	0.7%
Other values (195)	776	40.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1014	52.3%
2	9	0.5%
3	5	0.3%
4	15	0.8%
5	3	0.2%
7	9	0.5%
8	6	0.3%
9	7	0.4%
10	13	0.7%
11	8	0.4%

Value	Count	Frequency (%)
12105	9	0.5%
6905	4	0.2%
6405	4	0.2%
5881	2	0.1%
3961	3	0.2%
3239	3	0.2%
3115	5	0.3%
2974	1	0.1%
2892	2	0.1%
2550	3	0.2%

형명
Text

Distinct	277
Distinct (%)	14.3%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

Length

Max length	8
Median length	2
Mean length	2.3154639
Min length	1

Characters and Unicode

Total characters	4492
Distinct characters	46
Distinct categories	11 ?
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	163 ?
Unique (%)	8.4%

Sample

1st row	39A
2nd row	13D
3rd row	13E
4th row	14A
5th row	14F

Value	Count	Frequency (%)
36	288	14.8%
26	272	14.0%
16	180	9.3%
44	132	6.8%
21	99	5.1%
55	91	4.7%
59a	37	1.9%
39	32	1.6%
59b	32	1.6%
46	31	1.6%
Other values (265)	746	38.5%

Most occurring characters

Value	Count	Frequency (%)
6	863	19.2%
2	671	14.9%
3	542	12.1%
4	496	11.0%
1	442	9.8%
5	395	8.8%
9	325	7.2%
A	231	5.1%
B	139	3.1%
0	69	1.5%
Other values (36)	319	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3877	86.3%
Uppercase Letter	560	12.5%
Other Letter	17	0.4%
Dash Punctuation	13	0.3%
Other Symbol	10	0.2%
Other Punctuation	6	0.1%
Space Separator	3	0.1%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%
Lowercase Letter	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
부	2	11.8%
층	2	11.8%
복	2	11.8%
혼	1	5.9%
청	1	5.9%
여	1	5.9%
급	1	5.9%
거	1	5.9%
주	1	5.9%
신	1	5.9%
Other values (4)	4	23.5%

Uppercase Letter

Value	Count	Frequency (%)
A	231	41.2%
B	139	24.8%
C	59	10.5%
S	48	8.6%
D	25	4.5%
F	24	4.3%
E	12	2.1%
H	8	1.4%
G	6	1.1%
W	3	0.5%
Other values (3)	5	0.9%

Decimal Number

Value	Count	Frequency (%)
6	863	22.3%
2	671	17.3%
3	542	14.0%
4	496	12.8%
1	442	11.4%
5	395	10.2%
9	325	8.4%
0	69	1.8%
7	38	1.0%
8	36	0.9%

Other Punctuation

Value	Count	Frequency (%)
.	5	83.3%
/	1	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	13	100.0%

Other Symbol

Value	Count	Frequency (%)
㎡	10	100.0%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	1	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3914	87.1%
Latin	561	12.5%
Hangul	17	0.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	863	22.0%
2	671	17.1%
3	542	13.8%
4	496	12.7%
1	442	11.3%
5	395	10.1%
9	325	8.3%
0	69	1.8%
7	38	1.0%
8	36	0.9%
Other values (8)	37	0.9%

Latin

Value	Count	Frequency (%)
A	231	41.2%
B	139	24.8%
C	59	10.5%
S	48	8.6%
D	25	4.5%
F	24	4.3%
E	12	2.1%
H	8	1.4%
G	6	1.1%
W	3	0.5%
Other values (4)	6	1.1%

Hangul

Value	Count	Frequency (%)
부	2	11.8%
층	2	11.8%
복	2	11.8%
혼	1	5.9%
청	1	5.9%
여	1	5.9%
급	1	5.9%
거	1	5.9%
주	1	5.9%
신	1	5.9%
Other values (4)	4	23.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4465	99.4%
Hangul	17	0.4%
CJK Compat	10	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	863	19.3%
2	671	15.0%
3	542	12.1%
4	496	11.1%
1	442	9.9%
5	395	8.8%
9	325	7.3%
A	231	5.2%
B	139	3.1%
0	69	1.5%
Other values (21)	292	6.5%

CJK Compat

Value	Count	Frequency (%)
㎡	10	100.0%

Hangul

Value	Count	Frequency (%)
부	2	11.8%
층	2	11.8%
복	2	11.8%
혼	1	5.9%
청	1	5.9%
여	1	5.9%
급	1	5.9%
거	1	5.9%
주	1	5.9%
신	1	5.9%
Other values (4)	4	23.5%

공급면적(전용)
Real number (ℝ)

HIGH CORRELATION

Distinct	994
Distinct (%)	51.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.309853

Minimum	10.87
Maximum	59.9981
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.2 KiB

Quantile statistics

Minimum	10.87
5-th percentile	16.66
Q1	25.7375
median	36.05335
Q3	44.0625
95-th percentile	59.800245
Maximum	59.9981
Range	49.1281
Interquartile range (IQR)	18.325

Descriptive statistics

Standard deviation	12.739467
Coefficient of variation (CV)	0.37130635
Kurtosis	-0.68453751
Mean	34.309853
Median Absolute Deviation (MAD)	9.40335
Skewness	0.43852428
Sum	66561.116
Variance	162.29401
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59.98	15	0.8%
16.9	13	0.7%
59.99	11	0.6%
59.97	11	0.6%
36.63	11	0.6%
16.8	10	0.5%
59.96	10	0.5%
16.98	10	0.5%
55.99	9	0.5%
39.69	9	0.5%
Other values (984)	1831	94.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10.87	1	0.1%
11.61	1	0.1%
11.69	1	0.1%
12.05	1	0.1%
13.44	1	0.1%
13.45	2	0.1%
13.86	1	0.1%
14.19	1	0.1%
14.28	1	0.1%
14.31	1	0.1%

Value	Count	Frequency (%)
59.9981	1	0.1%
59.9951	1	0.1%
59.9908	1	0.1%
59.99	11	0.6%
59.9897	1	0.1%
59.9888	1	0.1%
59.9866	1	0.1%
59.9855	1	0.1%
59.9841	1	0.1%
59.9803	1	0.1%

공급면적(공용)
Real number (ℝ)

HIGH CORRELATION

Distinct	1782
Distinct (%)	91.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.223382

Minimum	0
Maximum	89.6815
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	17.2 KiB

Quantile statistics

Minimum	0
5-th percentile	8.607695
Q1	13.555775
median	18.39735
Q3	22.63125
95-th percentile	29.856475
Maximum	89.6815
Range	89.6815
Interquartile range (IQR)	9.075475

Descriptive statistics

Standard deviation	9.5180465
Coefficient of variation (CV)	0.49512862
Kurtosis	13.928634
Mean	19.223382
Median Absolute Deviation (MAD)	4.51845
Skewness	2.9221993
Sum	37293.361
Variance	90.593209
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26.226	5	0.3%
15.85	4	0.2%
25.3	4	0.2%
38.99	4	0.2%
16.16	4	0.2%
19.866	4	0.2%
13.63	4	0.2%
19.4213	3	0.2%
12.01	3	0.2%
11.97	3	0.2%
Other values (1772)	1902	98.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1	0.1%
1.0	1	0.1%
1.05	1	0.1%
1.08	1	0.1%
2.461	1	0.1%
2.517	1	0.1%
2.567	1	0.1%
2.72	1	0.1%
2.891	1	0.1%
3.07	1	0.1%

Value	Count	Frequency (%)
89.6815	1	0.1%
83.6427	1	0.1%
82.5547	1	0.1%
79.42	1	0.1%
76.884	3	0.2%
74.9113	2	0.1%
74.7153	1	0.1%
74.68	1	0.1%
74.4498	1	0.1%
74.1631	1	0.1%

임대보증금
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	1057
Distinct (%)	54.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	59361224

Minimum	0
Maximum	2.656 × 10⁸
Zeros	37
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	17.2 KiB

Quantile statistics

Minimum	0
5-th percentile	14040000
Q1	26360000
median	41560000
Q3	76895000
95-th percentile	1.7246 × 10⁸
Maximum	2.656 × 10⁸
Range	2.656 × 10⁸
Interquartile range (IQR)	50535000

Descriptive statistics

Standard deviation	49471045
Coefficient of variation (CV)	0.8333899
Kurtosis	3.1444944
Mean	59361224
Median Absolute Deviation (MAD)	19279000
Skewness	1.7670694
Sum	1.1516078 × 10¹¹
Variance	2.4473843 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	37	1.9%
87200000	18	0.9%
50000000	15	0.8%
29200000	14	0.7%
28000000	14	0.7%
26400000	12	0.6%
40000000	12	0.6%
27200000	11	0.6%
32400000	11	0.6%
73200000	11	0.6%
Other values (1047)	1785	92.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	37	1.9%
7600000	1	0.1%
8048000	1	0.1%
8509000	1	0.1%
9400000	1	0.1%
9440000	1	0.1%
9480000	1	0.1%
9490000	1	0.1%
9520000	1	0.1%
9560000	1	0.1%

Value	Count	Frequency (%)
265600000	3	0.2%
258400000	2	0.1%
253600000	2	0.1%
251200000	1	0.1%
248800000	3	0.2%
247200000	1	0.1%
244800000	2	0.1%
243200000	1	0.1%
241600000	4	0.2%
240800000	4	0.2%

월임대료
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	1342
Distinct (%)	69.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	234125.77

Minimum	0
Maximum	861000
Zeros	38
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	17.2 KiB

Quantile statistics

Minimum	0
5-th percentile	68591
Q1	122787.5
median	178905
Q3	301500
95-th percentile	575200
Maximum	861000
Range	861000
Interquartile range (IQR)	178712.5

Descriptive statistics

Standard deviation	164128.25
Coefficient of variation (CV)	0.70102599
Kurtosis	2.1951896
Mean	234125.77
Median Absolute Deviation (MAD)	73810
Skewness	1.5035615
Sum	4.5420399 × 10⁸
Variance	2.6938082 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	38	2.0%
335720	16	0.8%
150000	12	0.6%
121000	10	0.5%
281820	9	0.5%
215000	7	0.4%
110000	7	0.4%
90000	7	0.4%
148800	6	0.3%
297220	6	0.3%
Other values (1332)	1822	93.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	38	2.0%
31360	1	0.1%
45520	1	0.1%
47000	1	0.1%
48700	1	0.1%
49000	2	0.1%
50540	1	0.1%
52000	1	0.1%
52510	1	0.1%
53000	1	0.1%

Value	Count	Frequency (%)
861000	2	0.1%
858000	1	0.1%
846000	2	0.1%
842000	1	0.1%
840000	3	0.2%
830000	2	0.1%
829000	1	0.1%
827000	1	0.1%
826000	4	0.2%
825000	1	0.1%

전환보증금
Real number (ℝ)

ZEROS

Distinct	103
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13559554

Minimum	0
Maximum	1.002 × 10⁸
Zeros	601
Zeros (%)	31.0%
Negative	0
Negative (%)	0.0%
Memory size	17.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	11000000
Q3	21000000
95-th percentile	40000000
Maximum	1.002 × 10⁸
Range	1.002 × 10⁸
Interquartile range (IQR)	21000000

Descriptive statistics

Standard deviation	14129024
Coefficient of variation (CV)	1.0419977
Kurtosis	2.4401844
Mean	13559554
Median Absolute Deviation (MAD)	11000000
Skewness	1.3011
Sum	2.6305534 × 10¹⁰
Variance	1.9962932 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	601	31.0%
16000000	63	3.2%
11000000	55	2.8%
17000000	53	2.7%
18000000	51	2.6%
12000000	50	2.6%
19000000	50	2.6%
13000000	49	2.5%
15000000	48	2.5%
20000000	42	2.2%
Other values (93)	878	45.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	601	31.0%
1000000	16	0.8%
1548000	1	0.1%
2000000	21	1.1%
3000000	36	1.9%
4000000	31	1.6%
5000000	32	1.6%
6000000	38	2.0%
6588000	1	0.1%
7000000	28	1.4%

Value	Count	Frequency (%)
100200000	1	0.1%
99000000	1	0.1%
75225000	1	0.1%
74000000	1	0.1%
70616000	1	0.1%
70000000	3	0.2%
69000000	1	0.1%
67349000	1	0.1%
66000000	1	0.1%
65000000	4	0.2%

Heatmap
Table

	광역시도	세대수	주택유형	임대사업자	건물형태	난방방식	승강기설치여부	주차수	공급면적(전용)	공급면적(공용)	임대보증금	월임대료	전환보증금
광역시도	1.000	0.560	0.681	0.987	0.584	0.728	0.023	0.254	0.289	0.403	0.556	0.487	0.511
세대수	0.560	1.000	0.272	0.645	0.781	0.475	0.105	0.372	0.348	0.229	0.418	0.458	0.306
주택유형	0.681	0.272	1.000	0.790	0.204	0.525	0.651	0.000	0.362	0.526	0.185	0.265	0.209
임대사업자	0.987	0.645	0.790	1.000	0.781	0.809	0.000	0.261	0.432	0.683	0.590	0.548	0.782
건물형태	0.584	0.781	0.204	0.781	1.000	0.201	0.446	0.334	0.580	0.363	0.484	0.525	0.491
난방방식	0.728	0.475	0.525	0.809	0.201	1.000	0.120	0.383	0.199	0.286	0.350	0.357	0.318
승강기설치여부	0.023	0.105	0.651	0.000	0.446	0.120	1.000	0.000	0.299	0.352	0.259	0.376	0.000
주차수	0.254	0.372	0.000	0.261	0.334	0.383	0.000	1.000	0.278	0.094	0.461	0.417	0.132
공급면적(전용)	0.289	0.348	0.362	0.432	0.580	0.199	0.299	0.278	1.000	0.764	0.719	0.746	0.471
공급면적(공용)	0.403	0.229	0.526	0.683	0.363	0.286	0.352	0.094	0.764	1.000	0.543	0.605	0.429
임대보증금	0.556	0.418	0.185	0.590	0.484	0.350	0.259	0.461	0.719	0.543	1.000	0.959	0.652
월임대료	0.487	0.458	0.265	0.548	0.525	0.357	0.376	0.417	0.746	0.605	0.959	1.000	0.695
전환보증금	0.511	0.306	0.209	0.782	0.491	0.318	0.000	0.132	0.471	0.429	0.652	0.695	1.000

Heatmap
Table

	건물형태	광역시도	주택유형	임대사업자	승강기설치여부	난방방식
건물형태	1.000	0.384	0.194	0.515	0.171	0.191
광역시도	0.384	1.000	0.452	0.866	0.009	0.509
주택유형	0.194	0.452	1.000	0.547	0.675	0.227
임대사업자	0.515	0.866	0.547	1.000	0.000	0.572
승강기설치여부	0.171	0.009	0.675	0.000	1.000	0.113
난방방식	0.191	0.509	0.227	0.572	0.113	1.000

Heatmap
Table

	세대수	주차수	공급면적(전용)	공급면적(공용)	임대보증금	월임대료	전환보증금	광역시도	주택유형	임대사업자	건물형태	난방방식	승강기설치여부
세대수	1.000	-0.276	-0.121	-0.045	-0.160	-0.145	0.388	0.256	0.165	0.294	0.485	0.323	0.070
주차수	-0.276	1.000	0.216	0.184	0.347	0.258	-0.497	0.117	0.000	0.111	0.238	0.272	0.000
공급면적(전용)	-0.121	0.216	1.000	0.780	0.719	0.748	0.190	0.116	0.224	0.170	0.422	0.120	0.187
공급면적(공용)	-0.045	0.184	0.780	1.000	0.577	0.584	0.281	0.169	0.342	0.323	0.234	0.174	0.225
임대보증금	-0.160	0.347	0.719	0.577	1.000	0.949	0.078	0.253	0.111	0.256	0.332	0.215	0.159
월임대료	-0.145	0.258	0.748	0.584	0.949	1.000	0.200	0.212	0.161	0.231	0.369	0.220	0.243
전환보증금	0.388	-0.497	0.190	0.281	0.078	0.200	1.000	0.231	0.134	0.386	0.248	0.208	0.000
광역시도	0.256	0.117	0.116	0.169	0.253	0.212	0.231	1.000	0.452	0.866	0.384	0.509	0.009
주택유형	0.165	0.000	0.224	0.342	0.111	0.161	0.134	0.452	1.000	0.547	0.194	0.227	0.675
임대사업자	0.294	0.111	0.170	0.323	0.256	0.231	0.386	0.866	0.547	1.000	0.515	0.572	0.000
건물형태	0.485	0.238	0.422	0.234	0.332	0.369	0.248	0.384	0.194	0.515	1.000	0.191	0.171
난방방식	0.323	0.272	0.120	0.174	0.215	0.220	0.208	0.509	0.227	0.572	0.191	1.000	0.113
승강기설치여부	0.070	0.000	0.187	0.225	0.159	0.243	0.000	0.009	0.675	0.000	0.171	0.113	1.000

Count
Matrix

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.

First rows
Last rows

	임대종류	광역시도	시군구	도로명주소	단지명	세대수	주택유형	임대사업자	준공일자	건물형태	난방방식	승강기설치여부	주차수	형명	공급면적(전용)	공급면적(공용)	임대보증금	월임대료
0	행복주택	서울특별시	종로구	서울특별시 종로구 송월길 130	경희궁자이(돈의문1)_서울리츠2호	188	아파트	SH공사	2017-06-30	복도식	개별난방	전체동 설치	397	39A	39.0561	19.6373	171300000	600000
1	행복주택	서울특별시	종로구	서울특별시 종로구 지봉로 37-29	제이타워오피스텔(창신동255-1)	17	다세대주택	SH공사	2021-05-28	복도식	개별난방	전체동 설치	79	13D	13.86	7.45	0	0
2	행복주택	서울특별시	종로구	서울특별시 종로구 지봉로 37-29	제이타워오피스텔(창신동255-1)	17	다세대주택	SH공사	2021-05-28	복도식	개별난방	전체동 설치	79	13E	13.44	7.23	0	0
3	행복주택	서울특별시	종로구	서울특별시 종로구 지봉로 37-29	제이타워오피스텔(창신동255-1)	17	다세대주택	SH공사	2021-05-28	복도식	개별난방	전체동 설치	79	14A	14.19	7.64	0	0
4	행복주택	서울특별시	종로구	서울특별시 종로구 지봉로 37-29	제이타워오피스텔(창신동255-1)	17	다세대주택	SH공사	2021-05-28	복도식	개별난방	전체동 설치	79	14F	14.7	7.91	0	0
5	행복주택	서울특별시	종로구	서울특별시 종로구 지봉로 37-29	제이타워오피스텔(창신동255-1)	17	다세대주택	SH공사	2021-05-28	복도식	개별난방	전체동 설치	79	15G	15.64	8.41	0	0
6	행복주택	서울특별시	종로구	서울특별시 종로구 지봉로 37-29	제이타워오피스텔(창신동255-1)	17	다세대주택	SH공사	2021-05-28	복도식	개별난방	전체동 설치	79	15H	16.56	8.91	0	0
7	행복주택	서울특별시	종로구	서울특별시 종로구 지봉로 37-29	제이타워오피스텔(창신동255-1)	17	다세대주택	SH공사	2021-05-28	복도식	개별난방	전체동 설치	79	15I	15.51	8.35	0	0
8	행복주택	서울특별시	종로구	서울특별시 종로구 지봉로 37-29	제이타워오피스텔(창신동255-1)	17	다세대주택	SH공사	2021-05-28	복도식	개별난방	전체동 설치	79	19	19.61	10.55	0	0
9	행복주택	서울특별시	중구	서울특별시 중구 만리재로 175	서울역 센트럴자이(만리2)_서울리츠2호	36	아파트	SH공사	2017-08-07	계단식	개별난방	전체동 설치	36	39A	39.954	21.727	159980000	600000

	임대종류	광역시도	시군구	도로명주소	단지명	세대수	주택유형	임대사업자	준공일자	건물형태	난방방식	승강기설치여부	주차수	형명	공급면적(전용)	공급면적(공용)	임대보증금	월임대료	전환보증금
1930	행복주택	강원특별자치도	삼척시	강원특별자치도 삼척시 대학로 29	삼척당저 행복주택	127	아파트	LH강원	2023-09-01	<NA>	<NA>	<NA>	0	16	16.97	9.9961	15156000	85880	4000000
1931	행복주택	강원특별자치도	삼척시	강원특별자치도 삼척시 대학로 29	삼척당저 행복주택	127	아파트	LH강원	2023-09-01	<NA>	<NA>	<NA>	0	26	26.97	15.8866	24776000	140390	13000000
1932	행복주택	강원특별자치도	삼척시	강원특별자치도 삼척시 대학로 29	삼척당저 행복주택	127	아파트	LH강원	2023-09-01	<NA>	<NA>	<NA>	0	36	36.82	21.6888	34600000	196060	20000000
1933	행복주택	강원특별자치도	삼척시	강원특별자치도 삼척시 대학로 29	삼척당저 행복주택	127	아파트	LH강원	2023-09-01	<NA>	<NA>	<NA>	0	59	59.75	35.1957	51280000	290580	29000000
1934	행복주택	강원특별자치도	홍천군	강원특별자치도 홍천군 홍천읍 석화로 57	희망에핀아파트	50	아파트	홍천군	2019-12-20	복도식	개별가스난방	전체동 설치	47	16	16.921	24.968	9490000	53000	6000000
1935	행복주택	강원특별자치도	홍천군	강원특별자치도 홍천군 홍천읍 석화로 57	희망에핀아파트	50	아파트	홍천군	2019-12-20	복도식	개별가스난방	전체동 설치	47	45	45.371	63.602	27600000	157000	6000000
1936	행복주택	강원특별자치도	철원군	강원특별자치도 철원군 갈말읍 명성로111번길 18	철원갈말 마을정비형 임대주택	20	아파트	LH강원	2021-12-01	<NA>	<NA>	<NA>	0	16	16.78	8.9638	12100000	67340	1000000
1937	행복주택	강원특별자치도	철원군	강원특별자치도 철원군 갈말읍 명성로111번길 18	철원갈말 마을정비형 임대주택	20	아파트	LH강원	2021-12-01	<NA>	<NA>	<NA>	0	36	36.38	19.4342	26352000	151520	18000000
1938	행복주택	강원특별자치도	철원군	강원특별자치도 철원군 동송읍 이평1로37번길 4-27	철원동송(행복마을권)	20	아파트	LH강원	2022-12-01	<NA>	<NA>	<NA>	0	16	16.78	9.5237	13760000	71090	2000000
1939	행복주택	강원특별자치도	철원군	강원특별자치도 철원군 동송읍 이평1로37번길 4-27	철원동송(행복마을권)	20	아파트	LH강원	2022-12-01	<NA>	<NA>	<NA>	0	36	36.38	20.648	27800000	151800	16000000

Most frequently occurring

	임대종류	광역시도	시군구	도로명주소	단지명	세대수	주택유형	임대사업자	준공일자	건물형태	난방방식	승강기설치여부	주차수	형명	공급면적(전용)	공급면적(공용)	임대보증금	월임대료	전환보증금	# duplicates
0	행복주택	인천광역시	남동구	인천광역시 남동구 석정로461번길 50	간석한신더휴(범양) 재건축 소형주택(행복)	2	아파트	LH인천	<NA>	<NA>	<NA>	<NA>	0	59	59.925	22.3177	75600000	388500	46000000	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Lowercase Letter

Space Separator

Close Punctuation

Open Punctuation

Dash Punctuation

Connector Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

None

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Other Punctuation

Dash Punctuation