gimi9 Pandas Profiling

Dataset statistics

Number of variables	21
Number of observations	10000
Missing cells	29751
Missing cells (%)	14.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.7 MiB
Average record size in memory	182.0 B

Variable types

Categorical	4
Text	9
Numeric	6
DateTime	2

Dataset

Description	한국토지주택공사의 주택별현황정보(지역본부, 단지지방자치단체코드, 단지명, 시군구명, 주소, 우편번호, 면적, 호수 등)를 제공합니다.
Author	한국토지주택공사
URL	https://www.data.go.kr/data/15127116/fileData.do

Alerts

`(법정동)지번-산` is highly imbalanced (59.0%)	Imbalance
`(법정동)법정동일련번호` has 1540 (15.4%) missing values	Missing
`(법정동)주소` has 1530 (15.3%) missing values	Missing
`(법정동)본번` has 2042 (20.4%) missing values	Missing
`(법정동)부번` has 7518 (75.2%) missing values	Missing
`(법정동)상세주소` has 9764 (97.6%) missing values	Missing
`(도로명)우편번호` has 627 (6.3%) missing values	Missing
`(도로명)주소` has 571 (5.7%) missing values	Missing
`(도로명)상세주소` has 4887 (48.9%) missing values	Missing
`입주지정시작일자` has 574 (5.7%) missing values	Missing
`입주지정종료일자` has 587 (5.9%) missing values	Missing
`전용면적` is highly skewed (γ1 = 22.9798619)	Skewed
`주거공용면적` is highly skewed (γ1 = 30.50980914)	Skewed
`공급면적` is highly skewed (γ1 = 28.03640123)	Skewed
`전용면적` has 114 (1.1%) zeros	Zeros
`주거공용면적` has 1631 (16.3%) zeros	Zeros
`공급면적` has 101 (1.0%) zeros	Zeros

Reproduction

Analysis started	2024-04-22 00:13:18.740733
Analysis finished	2024-04-22 00:13:20.212172
Duration	1.47 second
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

지역본부
Categorical

Distinct	27
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

경기남부지역본부	1859
경기북부지역본부	1011
대전충남지역본부	779
대구경북지역본부	760
광주전남지역본부	757
Other values (22)	4834

Length

Max length	8
Median length	8
Mean length	6.93
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	강원지역본부
2nd row	부산울산지역본부
3rd row	경기북부지역본부
4th row	광주전남지역본부
5th row	경기북부지역본부

Common Values

Value	Count	Frequency (%)
경기남부지역본부	1859	18.6%
경기북부지역본부	1011	10.1%
대전충남지역본부	779	7.8%
대구경북지역본부	760	7.6%
광주전남지역본부	757	7.6%
경남지역본부	547	5.5%
인천지역본부	420	4.2%
전북지역본부	413	4.1%
충북지역본부	411	4.1%
강원지역본부	383	3.8%
Other values (17)	2660	26.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
경기남부지역본부	1859	18.6%
경기북부지역본부	1011	10.1%
대전충남지역본부	779	7.8%
대구경북지역본부	760	7.6%
광주전남지역본부	757	7.6%
경남지역본부	547	5.5%
인천지역본부	420	4.2%
전북지역본부	413	4.1%
충북지역본부	411	4.1%
강원지역본부	383	3.8%
Other values (17)	2660	26.6%

단지코드
Text

Distinct	3121
Distinct (%)	31.2%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	60000
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	766 ?
Unique (%)	7.7%

Sample

1st row	C01220
2nd row	C00856
3rd row	C01262
4th row	D00423
5th row	C00785

Value	Count	Frequency (%)
c02773	49	0.5%
c00321	41	0.4%
c02421	37	0.4%
c00888	37	0.4%
c00855	31	0.3%
c00051	30	0.3%
c02262	27	0.3%
c00218	26	0.3%
c01991	22	0.2%
c00180	22	0.2%
Other values (3111)	9678	96.8%

Most occurring characters

Value	Count	Frequency (%)
0	17681	29.5%
C	8869	14.8%
1	6254	10.4%
2	5588	9.3%
7	3074	5.1%
5	3009	5.0%
3	2993	5.0%
6	2962	4.9%
4	2910	4.9%
8	2893	4.8%
Other values (2)	3767	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	83.3%
Uppercase Letter	10000	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	17681	35.4%
1	6254	12.5%
2	5588	11.2%
7	3074	6.1%
5	3009	6.0%
3	2993	6.0%
6	2962	5.9%
4	2910	5.8%
8	2893	5.8%
9	2636	5.3%

Uppercase Letter

Value	Count	Frequency (%)
C	8869	88.7%
D	1131	11.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	83.3%
Latin	10000	16.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	17681	35.4%
1	6254	12.5%
2	5588	11.2%
7	3074	6.1%
5	3009	6.0%
3	2993	6.0%
6	2962	5.9%
4	2910	5.8%
8	2893	5.8%
9	2636	5.3%

Latin

Value	Count	Frequency (%)
C	8869	88.7%
D	1131	11.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	17681	29.5%
C	8869	14.8%
1	6254	10.4%
2	5588	9.3%
7	3074	5.1%
5	3009	5.0%
3	2993	5.0%
6	2962	4.9%
4	2910	4.9%
8	2893	4.8%
Other values (2)	3767	6.3%

관리기관
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

공사	8141
공단	1859

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
공사	8141	81.4%
공단	1859	18.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
공사	8141	81.4%
공단	1859	18.6%

단지명
Text

Distinct	3072
Distinct (%)	30.7%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	33
Median length	30
Mean length	9.6489
Min length	2

Characters and Unicode

Total characters	96489
Distinct characters	485
Distinct categories	12 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

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

Unique

Unique	745 ?
Unique (%)	7.4%

Sample

1st row	원주개운2
2nd row	부산망미
3rd row	의정부녹양 A1블럭(의정부녹양1)
4th row	광주광역시 북구 양산동 93-18(오션빌)
5th row	동두천송내1

Value	Count	Frequency (%)
행복주택	460	3.0%
1단지	171	1.1%
화성동탄2	166	1.1%
광주광역시	141	0.9%
2단지	138	0.9%
북구	122	0.8%
신혼희망타운	96	0.6%
국민임대	95	0.6%
아름들이(경북	83	0.5%
성남판교	76	0.5%
Other values (3413)	14016	90.1%

Most occurring characters

Value	Count	Frequency (%)
	5564	5.8%
1	3360	3.5%
2	3062	3.2%
(	2972	3.1%
)	2971	3.1%
주	2657	2.8%
산	1992	2.1%
지	1916	2.0%
단	1702	1.8%
3	1656	1.7%
Other values (475)	68637	71.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	66004	68.4%
Decimal Number	12909	13.4%
Space Separator	5564	5.8%
Uppercase Letter	4232	4.4%
Open Punctuation	2977	3.1%
Close Punctuation	2976	3.1%
Dash Punctuation	1613	1.7%
Other Punctuation	119	0.1%
Lowercase Letter	74	0.1%
Connector Punctuation	10	< 0.1%
Other values (2)	11	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
주	2657	4.0%
산	1992	3.0%
지	1916	2.9%
단	1702	2.6%
동	1524	2.3%
대	1524	2.3%
천	1444	2.2%
구	1114	1.7%
성	1084	1.6%
양	1079	1.6%
Other values (432)	49968	75.7%

Uppercase Letter

Value	Count	Frequency (%)
A	1369	32.3%
B	1111	26.3%
L	950	22.4%
H	287	6.8%
S	131	3.1%
F	98	2.3%
N	98	2.3%
M	70	1.7%
C	41	1.0%
G	30	0.7%
Other values (5)	47	1.1%

Decimal Number

Value	Count	Frequency (%)
1	3360	26.0%
2	3062	23.7%
3	1656	12.8%
4	977	7.6%
5	912	7.1%
0	847	6.6%
6	728	5.6%
7	595	4.6%
9	390	3.0%
8	382	3.0%

Lowercase Letter

Value	Count	Frequency (%)
b	28	37.8%
a	20	27.0%
e	12	16.2%
c	8	10.8%
l	6	8.1%

Other Punctuation

Value	Count	Frequency (%)
·	70	58.8%
/	25	21.0%
.	24	20.2%

Open Punctuation

Value	Count	Frequency (%)
(	2972	99.8%
[	5	0.2%

Close Punctuation

Value	Count	Frequency (%)
)	2971	99.8%
]	5	0.2%

Math Symbol

Value	Count	Frequency (%)
+	9	90.0%
~	1	10.0%

Space Separator

Value	Count	Frequency (%)
	5564	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1613	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	10	100.0%

Other Symbol

Value	Count	Frequency (%)
㎡	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	66004	68.4%
Common	26179	27.1%
Latin	4306	4.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
주	2657	4.0%
산	1992	3.0%
지	1916	2.9%
단	1702	2.6%
동	1524	2.3%
대	1524	2.3%
천	1444	2.2%
구	1114	1.7%
성	1084	1.6%
양	1079	1.6%
Other values (432)	49968	75.7%

Common

Value	Count	Frequency (%)
	5564	21.3%
1	3360	12.8%
2	3062	11.7%
(	2972	11.4%
)	2971	11.3%
3	1656	6.3%
-	1613	6.2%
4	977	3.7%
5	912	3.5%
0	847	3.2%
Other values (13)	2245	8.6%

Latin

Value	Count	Frequency (%)
A	1369	31.8%
B	1111	25.8%
L	950	22.1%
H	287	6.7%
S	131	3.0%
F	98	2.3%
N	98	2.3%
M	70	1.6%
C	41	1.0%
G	30	0.7%
Other values (10)	121	2.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	66004	68.4%
ASCII	30414	31.5%
None	70	0.1%
CJK Compat	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5564	18.3%
1	3360	11.0%
2	3062	10.1%
(	2972	9.8%
)	2971	9.8%
3	1656	5.4%
-	1613	5.3%
A	1369	4.5%
B	1111	3.7%
4	977	3.2%
Other values (31)	5759	18.9%

Hangul

Value	Count	Frequency (%)
주	2657	4.0%
산	1992	3.0%
지	1916	2.9%
단	1702	2.6%
동	1524	2.3%
대	1524	2.3%
천	1444	2.2%
구	1114	1.7%
성	1084	1.6%
양	1079	1.6%
Other values (432)	49968	75.7%

None

Value	Count	Frequency (%)
·	70	100.0%

CJK Compat

Value	Count	Frequency (%)
㎡	1	100.0%

시군구명
Text

Distinct	231
Distinct (%)	2.3%
Missing	99
Missing (%)	1.0%
Memory size	156.2 KiB

Length

Max length	8
Median length	3
Mean length	2.9461671
Min length	2

Characters and Unicode

Total characters	29170
Distinct characters	149
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	7 ?
Unique (%)	0.1%

Sample

1st row	원주시
2nd row	연제구
3rd row	의정부시
4th row	북구
5th row	부천시

Value	Count	Frequency (%)
북구	436	4.4%
화성시	382	3.9%
동구	363	3.7%
성남시	322	3.3%
서구	277	2.8%
수원시	233	2.4%
청주시	188	1.9%
파주시	185	1.9%
의정부시	183	1.8%
전주시	174	1.8%
Other values (221)	7158	72.3%

Most occurring characters

Value	Count	Frequency (%)
시	6287	21.6%
구	2972	10.2%
주	1406	4.8%
남	1088	3.7%
군	1080	3.7%
성	1050	3.6%
산	919	3.2%
동	795	2.7%
천	764	2.6%
원	695	2.4%
Other values (139)	12114	41.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	29170	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	6287	21.6%
구	2972	10.2%
주	1406	4.8%
남	1088	3.7%
군	1080	3.7%
성	1050	3.6%
산	919	3.2%
동	795	2.7%
천	764	2.6%
원	695	2.4%
Other values (139)	12114	41.5%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	29170	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	6287	21.6%
구	2972	10.2%
주	1406	4.8%
남	1088	3.7%
군	1080	3.7%
성	1050	3.6%
산	919	3.2%
동	795	2.7%
천	764	2.6%
원	695	2.4%
Other values (139)	12114	41.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	29170	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	6287	21.6%
구	2972	10.2%
주	1406	4.8%
남	1088	3.7%
군	1080	3.7%
성	1050	3.6%
산	919	3.2%
동	795	2.7%
천	764	2.6%
원	695	2.4%
Other values (139)	12114	41.5%

(법정동)법정동일련번호
Real number (ℝ)

MISSING

Distinct	1223
Distinct (%)	14.5%
Missing	1540
Missing (%)	15.4%
Infinite	0
Infinite (%)	0.0%
Mean	3.8894994 × 10⁹

Minimum	1.1140157 × 10⁹
Maximum	5.280025 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1.1140157 × 10⁹
5-th percentile	2.6230102 × 10⁹
Q1	3.0110109 × 10⁹
median	4.1410104 × 10⁹
Q3	4.6110164 × 10⁹
95-th percentile	5.1770259 × 10⁹
Maximum	5.280025 × 10⁹
Range	4.1660093 × 10⁹
Interquartile range (IQR)	1.6000055 × 10⁹

Descriptive statistics

Standard deviation	9.8042531 × 10⁸
Coefficient of variation (CV)	0.25206979
Kurtosis	0.62053834
Mean	3.8894994 × 10⁹
Median Absolute Deviation (MAD)	5.7201493 × 10⁸
Skewness	-0.98789904
Sum	3.2905165 × 10¹³
Variance	9.6123379 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4159013100	116	1.2%
2820010300	71	0.7%
1130510200	63	0.6%
4136011100	57	0.6%
1168011200	54	0.5%
2917012800	53	0.5%
4145010900	53	0.5%
4163011400	51	0.5%
2623010900	49	0.5%
4148011700	47	0.5%
Other values (1213)	7846	78.5%
(Missing)	1540	15.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1114015700	9	0.1%
1117012500	7	0.1%
1121510300	2	< 0.1%
1123010900	3	< 0.1%
1126010100	1	< 0.1%
1126010500	11	0.1%
1130510200	63	0.6%
1132010700	7	0.1%
1132010800	2	< 0.1%
1135010200	14	0.1%

Value	Count	Frequency (%)
5280025024	3	< 0.1%
5280025022	1	< 0.1%
5279033021	3	< 0.1%
5279031022	2	< 0.1%
5279025036	1	< 0.1%
5279025023	1	< 0.1%
5279025021	4	< 0.1%
5277033028	1	< 0.1%
5277025026	1	< 0.1%
5274025021	3	< 0.1%

(법정동)주소
Text

MISSING

Distinct	1467
Distinct (%)	17.3%
Missing	1530
Missing (%)	15.3%
Memory size	156.2 KiB

Length

Max length	22
Median length	20
Mean length	12.564109
Min length	5

Characters and Unicode

Total characters	106418
Distinct characters	293
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	238 ?
Unique (%)	2.8%

Sample

1st row	강원특별자치도 원주시 단구동
2nd row	부산 연제구 연산동
3rd row	경기 의정부시 녹양동
4th row	광주광역시 북구 양산동
5th row	경기 부천시 소사구 송내동

Value	Count	Frequency (%)
경기도	1952	7.1%
경기	780	2.8%
북구	450	1.6%
강원특별자치도	445	1.6%
전북특별자치도	389	1.4%
화성시	371	1.4%
광주광역시	324	1.2%
동구	320	1.2%
충청남도	314	1.1%
경상남도	304	1.1%
Other values (1468)	21797	79.4%

Most occurring characters

Value	Count	Frequency (%)
	18976	17.8%
동	7986	7.5%
시	7001	6.6%
구	4513	4.2%
도	4306	4.0%
경	3736	3.5%
기	2910	2.7%
남	2494	2.3%
광	2108	2.0%
산	2022	1.9%
Other values (283)	50366	47.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	87240	82.0%
Space Separator	18976	17.8%
Decimal Number	199	0.2%
Dash Punctuation	3	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	7986	9.2%
시	7001	8.0%
구	4513	5.2%
도	4306	4.9%
경	3736	4.3%
기	2910	3.3%
남	2494	2.9%
광	2108	2.4%
산	2022	2.3%
북	1914	2.2%
Other values (274)	48250	55.3%

Decimal Number

Value	Count	Frequency (%)
1	84	42.2%
2	63	31.7%
3	29	14.6%
9	10	5.0%
6	7	3.5%
5	5	2.5%
7	1	0.5%

Space Separator

Value	Count	Frequency (%)
	18976	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	87240	82.0%
Common	19178	18.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	7986	9.2%
시	7001	8.0%
구	4513	5.2%
도	4306	4.9%
경	3736	4.3%
기	2910	3.3%
남	2494	2.9%
광	2108	2.4%
산	2022	2.3%
북	1914	2.2%
Other values (274)	48250	55.3%

Common

Value	Count	Frequency (%)
	18976	98.9%
1	84	0.4%
2	63	0.3%
3	29	0.2%
9	10	0.1%
6	7	< 0.1%
5	5	< 0.1%
-	3	< 0.1%
7	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	87240	82.0%
ASCII	19178	18.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	18976	98.9%
1	84	0.4%
2	63	0.3%
3	29	0.2%
9	10	0.1%
6	7	< 0.1%
5	5	< 0.1%
-	3	< 0.1%
7	1	< 0.1%

Hangul

Value	Count	Frequency (%)
동	7986	9.2%
시	7001	8.0%
구	4513	5.2%
도	4306	4.9%
경	3736	4.3%
기	2910	3.3%
남	2494	2.9%
광	2108	2.4%
산	2022	2.3%
북	1914	2.2%
Other values (274)	48250	55.3%

(법정동)지번-산
Categorical

IMBALANCE

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

일반번지	6721
<NA>	1569
산번지	1382
블럭	197
해당없음	70
Other values (6)	61

Length

Max length	21
Median length	4
Mean length	3.8344
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	산번지
2nd row	산번지
3rd row	일반번지
4th row	일반번지
5th row	산번지

Common Values

Value	Count	Frequency (%)
일반번지	6721	67.2%
<NA>	1569	15.7%
산번지	1382	13.8%
블럭	197	2.0%
해당없음	70	0.7%
무번지	28	0.3%
단지	16	0.2%
구획정리1(롯트가 세분화되지않은 경우)	9	0.1%
구	3	< 0.1%
구획정리2(롯트가 세분화된 경우)	3	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
일반번지	6721	67.0%
na	1569	15.7%
산번지	1382	13.8%
블럭	197	2.0%
해당없음	70	0.7%
무번지	28	0.3%
단지	16	0.2%
경우	12	0.1%
구획정리1(롯트가	9	0.1%
세분화되지않은	9	0.1%
Other values (4)	11	0.1%

(법정동)본번
Text

MISSING

Distinct	1553
Distinct (%)	19.5%
Missing	2042
Missing (%)	20.4%
Memory size	156.2 KiB

Length

Max length	4
Median length	4
Mean length	3.6517969
Min length	1

Characters and Unicode

Total characters	29061
Distinct characters	15
Distinct categories	4 ?
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	216 ?
Unique (%)	2.7%

Sample

1st row	1461
2nd row	2220
3rd row	0409
4th row	0093
5th row	0717

Value	Count	Frequency (%)
197	52	0.7%
1005	47	0.6%
0200	40	0.5%
1	39	0.5%
0794	38	0.5%
864	37	0.5%
0797	34	0.4%
0237	32	0.4%
0707	31	0.4%
0321	30	0.4%
Other values (1543)	7578	95.2%

Most occurring characters

Value	Count	Frequency (%)
0	6449	22.2%
1	4463	15.4%
2	2774	9.5%
6	2415	8.3%
4	2321	8.0%
7	2288	7.9%
5	2275	7.8%
3	2177	7.5%
8	1972	6.8%
9	1901	6.5%
Other values (5)	26	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29035	99.9%
Uppercase Letter	13	< 0.1%
Other Letter	7	< 0.1%
Dash Punctuation	6	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6449	22.2%
1	4463	15.4%
2	2774	9.6%
6	2415	8.3%
4	2321	8.0%
7	2288	7.9%
5	2275	7.8%
3	2177	7.5%
8	1972	6.8%
9	1901	6.5%

Uppercase Letter

Value	Count	Frequency (%)
A	7	53.8%
B	6	46.2%

Other Letter

Value	Count	Frequency (%)
에	6	85.7%
대	1	14.3%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	29041	99.9%
Latin	13	< 0.1%
Hangul	7	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6449	22.2%
1	4463	15.4%
2	2774	9.6%
6	2415	8.3%
4	2321	8.0%
7	2288	7.9%
5	2275	7.8%
3	2177	7.5%
8	1972	6.8%
9	1901	6.5%

Latin

Value	Count	Frequency (%)
A	7	53.8%
B	6	46.2%

Hangul

Value	Count	Frequency (%)
에	6	85.7%
대	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29054	> 99.9%
Hangul	7	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6449	22.2%
1	4463	15.4%
2	2774	9.5%
6	2415	8.3%
4	2321	8.0%
7	2288	7.9%
5	2275	7.8%
3	2177	7.5%
8	1972	6.8%
9	1901	6.5%
Other values (3)	19	0.1%

Hangul

Value	Count	Frequency (%)
에	6	85.7%
대	1	14.3%

(법정동)부번
Text

MISSING

Distinct	127
Distinct (%)	5.1%
Missing	7518
Missing (%)	75.2%
Memory size	156.2 KiB

Length

Max length	4
Median length	4
Mean length	2.7207897
Min length	1

Characters and Unicode

Total characters	6753
Distinct characters	13
Distinct categories	4 ?
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	20 ?
Unique (%)	0.8%

Sample

1st row	0018
2nd row	0002
3rd row	0106
4th row	3
5th row	3

Value	Count	Frequency (%)
0001	513	20.7%
1	305	12.3%
2	215	8.7%
0002	137	5.5%
3	130	5.2%
0003	80	3.2%
0006	80	3.2%
4	56	2.3%
0004	53	2.1%
0005	52	2.1%
Other values (116)	862	34.7%

Most occurring characters

Value	Count	Frequency (%)
0	3760	55.7%
1	1174	17.4%
2	602	8.9%
3	305	4.5%
6	210	3.1%
4	187	2.8%
7	185	2.7%
5	154	2.3%
9	89	1.3%
8	84	1.2%
Other values (3)	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6750	> 99.9%
Space Separator	1	< 0.1%
Uppercase Letter	1	< 0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3760	55.7%
1	1174	17.4%
2	602	8.9%
3	305	4.5%
6	210	3.1%
4	187	2.8%
7	185	2.7%
5	154	2.3%
9	89	1.3%
8	84	1.2%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Uppercase Letter

Value	Count	Frequency (%)
B	1	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	6752	> 99.9%
Latin	1	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3760	55.7%
1	1174	17.4%
2	602	8.9%
3	305	4.5%
6	210	3.1%
4	187	2.8%
7	185	2.7%
5	154	2.3%
9	89	1.3%
8	84	1.2%
Other values (2)	2	< 0.1%

Latin

Value	Count	Frequency (%)
B	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6753	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3760	55.7%
1	1174	17.4%
2	602	8.9%
3	305	4.5%
6	210	3.1%
4	187	2.8%
7	185	2.7%
5	154	2.3%
9	89	1.3%
8	84	1.2%
Other values (3)	3	< 0.1%

(법정동)상세주소
Text

MISSING

Distinct	68
Distinct (%)	28.8%
Missing	9764
Missing (%)	97.6%
Memory size	156.2 KiB

Length

Max length	25
Median length	17
Mean length	10.423729
Min length	1

Characters and Unicode

Total characters	2460
Distinct characters	104
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	8 ?
Unique (%)	3.4%

Sample

1st row	동탄2택지개발지구 A-66블록
2nd row	수원당수 A-1BL
3rd row	화성향남2 A-22블록 행복주택
4th row	감일동 감이동 일원 하남감일지구
5th row	평택고덕 A-57-2

Value	Count	Frequency (%)
일원	38	8.1%
a-1bl	15	3.2%
행복주택	13	2.8%
송리	12	2.5%
광주선운2	12	2.5%
681-60	12	2.5%
공공주택지구내	12	2.5%
화성향남2	10	2.1%
a3	10	2.1%
a4블록	10	2.1%
Other values (90)	328	69.5%

Most occurring characters

Value	Count	Frequency (%)
	249	10.1%
A	117	4.8%
-	116	4.7%
2	93	3.8%
1	84	3.4%
블	81	3.3%
지	80	3.3%
록	71	2.9%
주	69	2.8%
구	65	2.6%
Other values (94)	1435	58.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1316	53.5%
Decimal Number	491	20.0%
Uppercase Letter	250	10.2%
Space Separator	249	10.1%
Dash Punctuation	116	4.7%
Open Punctuation	17	0.7%
Close Punctuation	17	0.7%
Math Symbol	4	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
블	81	6.2%
지	80	6.1%
록	71	5.4%
주	69	5.2%
구	65	4.9%
택	61	4.6%
일	49	3.7%
원	44	3.3%
동	43	3.3%
내	42	3.2%
Other values (71)	711	54.0%

Decimal Number

Value	Count	Frequency (%)
2	93	18.9%
1	84	17.1%
6	63	12.8%
5	52	10.6%
3	51	10.4%
8	43	8.8%
4	36	7.3%
9	35	7.1%
7	17	3.5%
0	17	3.5%

Uppercase Letter

Value	Count	Frequency (%)
A	117	46.8%
B	53	21.2%
L	45	18.0%
S	12	4.8%
H	8	3.2%
M	5	2.0%
U	5	2.0%
R	5	2.0%

Space Separator

Value	Count	Frequency (%)
	249	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	116	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	17	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	17	100.0%

Math Symbol

Value	Count	Frequency (%)
~	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1316	53.5%
Common	894	36.3%
Latin	250	10.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
블	81	6.2%
지	80	6.1%
록	71	5.4%
주	69	5.2%
구	65	4.9%
택	61	4.6%
일	49	3.7%
원	44	3.3%
동	43	3.3%
내	42	3.2%
Other values (71)	711	54.0%

Common

Value	Count	Frequency (%)
	249	27.9%
-	116	13.0%
2	93	10.4%
1	84	9.4%
6	63	7.0%
5	52	5.8%
3	51	5.7%
8	43	4.8%
4	36	4.0%
9	35	3.9%
Other values (5)	72	8.1%

Latin

Value	Count	Frequency (%)
A	117	46.8%
B	53	21.2%
L	45	18.0%
S	12	4.8%
H	8	3.2%
M	5	2.0%
U	5	2.0%
R	5	2.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1316	53.5%
ASCII	1144	46.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	249	21.8%
A	117	10.2%
-	116	10.1%
2	93	8.1%
1	84	7.3%
6	63	5.5%
B	53	4.6%
5	52	4.5%
3	51	4.5%
L	45	3.9%
Other values (13)	221	19.3%

Hangul

Value	Count	Frequency (%)
블	81	6.2%
지	80	6.1%
록	71	5.4%
주	69	5.2%
구	65	4.9%
택	61	4.6%
일	49	3.7%
원	44	3.3%
동	43	3.3%
내	42	3.2%
Other values (71)	711	54.0%

(도로명)우편번호
Real number (ℝ)

MISSING

Distinct	2198
Distinct (%)	23.5%
Missing	627
Missing (%)	6.3%
Infinite	0
Infinite (%)	0.0%
Mean	107477.4

Minimum	1137
Maximum	791759
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1137
5-th percentile	10088
Q1	17782
median	34333
Q3	58566
95-th percentile	570090
Maximum	791759
Range	790622
Interquartile range (IQR)	40784

Descriptive statistics

Standard deviation	181199.87
Coefficient of variation (CV)	1.6859346
Kurtosis	3.2744005
Mean	107477.4
Median Absolute Deviation (MAD)	19337
Skewness	2.1506917
Sum	1.0073857 × 10⁹
Variance	3.2833392 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18469	65	0.7%
18463	46	0.5%
614104	44	0.4%
21541	41	0.4%
15822	37	0.4%
31473	35	0.4%
14307	30	0.3%
13449	30	0.3%
28692	30	0.3%
57945	27	0.3%
Other values (2188)	8988	89.9%
(Missing)	627	6.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1137	15	0.1%
1224	3	< 0.1%
1225	19	0.2%
1229	26	0.3%
1319	2	< 0.1%
1404	7	0.1%
1489	4	< 0.1%
1623	1	< 0.1%
1702	3	< 0.1%
1711	7	0.1%

Value	Count	Frequency (%)
791759	2	< 0.1%
791280	11	0.1%
790250	3	< 0.1%
790110	1	< 0.1%
770756	5	0.1%
770110	8	0.1%
770100	2	< 0.1%
760751	1	< 0.1%
760010	2	< 0.1%
750902	3	< 0.1%

(도로명)주소
Text

MISSING

Distinct	2658
Distinct (%)	28.2%
Missing	571
Missing (%)	5.7%
Memory size	156.2 KiB

Length

Max length	54
Median length	41
Mean length	22.892459
Min length	3

Characters and Unicode

Total characters	215853
Distinct characters	505
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

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

Unique

Unique	596 ?
Unique (%)	6.3%

Sample

1st row	강원특별자치도 원주시 서원대로 427(단구동 개운2차한신휴플러스아파트 201)
2nd row	부산광역시 연제구 토현로
3rd row	경기도 의정부시 체육로 278(녹양동 휴먼시아아파트 101동)
4th row	광주광역시 북구 양지마을길 8
5th row	경기도 동두천시 지행로

Value	Count	Frequency (%)
경기도	2647	6.5%
광주광역시	486	1.2%
북구	485	1.2%
강원특별자치도	481	1.2%
전북특별자치도	478	1.2%
충청북도	453	1.1%
충청남도	453	1.1%
경상남도	430	1.1%
서울특별시	427	1.0%
대전광역시	423	1.0%
Other values (5142)	34124	83.5%

Most occurring characters

Value	Count	Frequency (%)
	31458	14.6%
시	9315	4.3%
로	7113	3.3%
동	6996	3.2%
도	6291	2.9%
1	5672	2.6%
구	5222	2.4%
경	4235	2.0%
)	4179	1.9%
(	4179	1.9%
Other values (495)	131193	60.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	150729	69.8%
Space Separator	31458	14.6%
Decimal Number	23841	11.0%
Close Punctuation	4179	1.9%
Open Punctuation	4179	1.9%
Dash Punctuation	938	0.4%
Uppercase Letter	499	0.2%
Other Punctuation	19	< 0.1%
Math Symbol	5	< 0.1%
Letter Number	4	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	9315	6.2%
로	7113	4.7%
동	6996	4.6%
도	6291	4.2%
구	5222	3.5%
경	4235	2.8%
주	3279	2.2%
기	3196	2.1%
길	3156	2.1%
남	3096	2.1%
Other values (457)	98830	65.6%

Uppercase Letter

Value	Count	Frequency (%)
L	191	38.3%
H	182	36.5%
B	36	7.2%
A	36	7.2%
I	10	2.0%
F	10	2.0%
N	10	2.0%
T	6	1.2%
P	6	1.2%
C	3	0.6%
Other values (7)	9	1.8%

Decimal Number

Value	Count	Frequency (%)
1	5672	23.8%
2	3133	13.1%
3	2485	10.4%
0	2149	9.0%
5	2145	9.0%
4	2051	8.6%
6	1795	7.5%
7	1586	6.7%
8	1481	6.2%
9	1344	5.6%

Other Punctuation

Value	Count	Frequency (%)
/	14	73.7%
.	5	26.3%

Math Symbol

Value	Count	Frequency (%)
~	3	60.0%
∼	2	40.0%

Letter Number

Value	Count	Frequency (%)
Ⅰ	3	75.0%
Ⅱ	1	25.0%

Space Separator

Value	Count	Frequency (%)
	31458	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4179	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4179	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	938	100.0%

Lowercase Letter

Value	Count	Frequency (%)
e	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	150729	69.8%
Common	64619	29.9%
Latin	505	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	9315	6.2%
로	7113	4.7%
동	6996	4.6%
도	6291	4.2%
구	5222	3.5%
경	4235	2.8%
주	3279	2.2%
기	3196	2.1%
길	3156	2.1%
남	3096	2.1%
Other values (457)	98830	65.6%

Latin

Value	Count	Frequency (%)
L	191	37.8%
H	182	36.0%
B	36	7.1%
A	36	7.1%
I	10	2.0%
F	10	2.0%
N	10	2.0%
T	6	1.2%
P	6	1.2%
C	3	0.6%
Other values (10)	15	3.0%

Common

Value	Count	Frequency (%)
	31458	48.7%
1	5672	8.8%
)	4179	6.5%
(	4179	6.5%
2	3133	4.8%
3	2485	3.8%
0	2149	3.3%
5	2145	3.3%
4	2051	3.2%
6	1795	2.8%
Other values (8)	5373	8.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	150729	69.8%
ASCII	65118	30.2%
Number Forms	4	< 0.1%
Math Operators	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	31458	48.3%
1	5672	8.7%
)	4179	6.4%
(	4179	6.4%
2	3133	4.8%
3	2485	3.8%
0	2149	3.3%
5	2145	3.3%
4	2051	3.1%
6	1795	2.8%
Other values (25)	5872	9.0%

Hangul

Value	Count	Frequency (%)
시	9315	6.2%
로	7113	4.7%
동	6996	4.6%
도	6291	4.2%
구	5222	3.5%
경	4235	2.8%
주	3279	2.2%
기	3196	2.1%
길	3156	2.1%
남	3096	2.1%
Other values (457)	98830	65.6%

Number Forms

Value	Count	Frequency (%)
Ⅰ	3	75.0%
Ⅱ	1	25.0%

Math Operators

Value	Count	Frequency (%)
∼	2	100.0%

(도로명)상세주소
Text

MISSING

Distinct	1458
Distinct (%)	28.5%
Missing	4887
Missing (%)	48.9%
Memory size	156.2 KiB

Length

Max length	42
Median length	31
Mean length	11.10796
Min length	1

Characters and Unicode

Total characters	56795
Distinct characters	422
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	341 ?
Unique (%)	6.7%

Sample

1st row	10 (연산동)
2nd row	278 휴먼시아(녹양1단지)
3rd row	16 (송내 주공1단지 아파트)
4th row	별가람1-4
5th row	150 (민락동)

Value	Count	Frequency (%)
주공아파트	235	2.3%
아파트	121	1.2%
11	99	0.9%
휴먼시아	93	0.9%
행복주택	81	0.8%
10	78	0.7%
15	68	0.7%
25	68	0.7%
12	64	0.6%
105	62	0.6%
Other values (1863)	9465	90.7%

Most occurring characters

Value	Count	Frequency (%)
	5355	9.4%
(	3375	5.9%
)	3373	5.9%
1	2674	4.7%
아	2159	3.8%
동	2047	3.6%
2	2033	3.6%
트	1595	2.8%
파	1563	2.8%
지	1529	2.7%
Other values (412)	31092	54.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	30762	54.2%
Decimal Number	12344	21.7%
Space Separator	5355	9.4%
Open Punctuation	3416	6.0%
Close Punctuation	3414	6.0%
Uppercase Letter	923	1.6%
Dash Punctuation	533	0.9%
Lowercase Letter	26	< 0.1%
Other Punctuation	16	< 0.1%
Other Symbol	6	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
아	2159	7.0%
동	2047	6.7%
트	1595	5.2%
파	1563	5.1%
지	1529	5.0%
단	1326	4.3%
주	1273	4.1%
공	1050	3.4%
마	624	2.0%
을	599	1.9%
Other values (375)	16997	55.3%

Uppercase Letter

Value	Count	Frequency (%)
L	339	36.7%
H	311	33.7%
A	126	13.7%
B	91	9.9%
C	23	2.5%
F	10	1.1%
N	10	1.1%
R	5	0.5%
M	3	0.3%
E	2	0.2%
Other values (2)	3	0.3%

Decimal Number

Value	Count	Frequency (%)
1	2674	21.7%
2	2033	16.5%
3	1348	10.9%
5	1108	9.0%
4	1074	8.7%
0	1017	8.2%
6	928	7.5%
7	853	6.9%
9	731	5.9%
8	578	4.7%

Lowercase Letter

Value	Count	Frequency (%)
e	12	46.2%
l	4	15.4%
o	4	15.4%
h	4	15.4%
m	2	7.7%

Other Punctuation

Value	Count	Frequency (%)
.	12	75.0%
:	3	18.8%
/	1	6.2%

Open Punctuation

Value	Count	Frequency (%)
(	3375	98.8%
[	41	1.2%

Close Punctuation

Value	Count	Frequency (%)
)	3373	98.8%
]	41	1.2%

Space Separator

Value	Count	Frequency (%)
	5355	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	533	100.0%

Other Symbol

Value	Count	Frequency (%)
ⓐ	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	30762	54.2%
Common	25084	44.2%
Latin	949	1.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
아	2159	7.0%
동	2047	6.7%
트	1595	5.2%
파	1563	5.1%
지	1529	5.0%
단	1326	4.3%
주	1273	4.1%
공	1050	3.4%
마	624	2.0%
을	599	1.9%
Other values (375)	16997	55.3%

Common

Value	Count	Frequency (%)
	5355	21.3%
(	3375	13.5%
)	3373	13.4%
1	2674	10.7%
2	2033	8.1%
3	1348	5.4%
5	1108	4.4%
4	1074	4.3%
0	1017	4.1%
6	928	3.7%
Other values (10)	2799	11.2%

Latin

Value	Count	Frequency (%)
L	339	35.7%
H	311	32.8%
A	126	13.3%
B	91	9.6%
C	23	2.4%
e	12	1.3%
F	10	1.1%
N	10	1.1%
R	5	0.5%
l	4	0.4%
Other values (7)	18	1.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	30762	54.2%
ASCII	26027	45.8%
Enclosed Alphanum	6	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5355	20.6%
(	3375	13.0%
)	3373	13.0%
1	2674	10.3%
2	2033	7.8%
3	1348	5.2%
5	1108	4.3%
4	1074	4.1%
0	1017	3.9%
6	928	3.6%
Other values (26)	3742	14.4%

Hangul

Value	Count	Frequency (%)
아	2159	7.0%
동	2047	6.7%
트	1595	5.2%
파	1563	5.1%
지	1529	5.0%
단	1326	4.3%
주	1273	4.1%
공	1050	3.4%
마	624	2.0%
을	599	1.9%
Other values (375)	16997	55.3%

Enclosed Alphanum

Value	Count	Frequency (%)
ⓐ	6	100.0%

공급유형명
Categorical

Distinct	24
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

공공분양	3374
국민임대	2213
행복주택	927
임대상가	829
공공임대(10년)	584
Other values (19)	2073

Length

Max length	10
Median length	4
Mean length	4.8825
Min length	2

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	공공분양
2nd row	장기임대
3rd row	국민임대
4th row	신축다세대매입임대
5th row	공공분양

Common Values

Value	Count	Frequency (%)
공공분양	3374	33.7%
국민임대	2213	22.1%
행복주택	927	9.3%
임대상가	829	8.3%
공공임대(10년)	584	5.8%
신축다세대매입임대	540	5.4%
공공임대(5년)	494	4.9%
영구임대	381	3.8%
근로복지	166	1.7%
장기임대	128	1.3%
Other values (14)	364	3.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
공공분양	3374	33.7%
국민임대	2213	22.1%
행복주택	927	9.3%
임대상가	829	8.3%
공공임대(10년	584	5.8%
신축다세대매입임대	540	5.4%
공공임대(5년	494	4.9%
영구임대	381	3.8%
근로복지	166	1.7%
장기임대	128	1.3%
Other values (14)	364	3.6%

전용면적
Real number (ℝ)

SKEWED ZEROS

Distinct	2620
Distinct (%)	26.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.613778

Minimum	0
Maximum	2712.38
Zeros	114
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	21.94
Q1	37.49
median	51.4091
Q3	59.95
95-th percentile	84.9616
Maximum	2712.38
Range	2712.38
Interquartile range (IQR)	22.46

Descriptive statistics

Standard deviation	58.351233
Coefficient of variation (CV)	1.0492226
Kurtosis	805.67509
Mean	55.613778
Median Absolute Deviation (MAD)	11.6891
Skewness	22.979862
Sum	556137.78
Variance	3404.8663
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59.99	144	1.4%
46.9	117	1.2%
0.0	114	1.1%
51.93	110	1.1%
26.37	105	1.1%
59.98	76	0.8%
31.32	71	0.7%
59.89	69	0.7%
59.92	64	0.6%
84.98	63	0.6%
Other values (2610)	9067	90.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	114	1.1%
5.75	1	< 0.1%
6.38	1	< 0.1%
7.25	1	< 0.1%
7.41	1	< 0.1%
10.44	1	< 0.1%
11.83	1	< 0.1%
12.0	1	< 0.1%
12.02	1	< 0.1%
12.36	3	< 0.1%

Value	Count	Frequency (%)
2712.38	1	< 0.1%
2298.89	1	< 0.1%
1820.22	1	< 0.1%
1270.79	1	< 0.1%
1233.04	1	< 0.1%
1188.88	1	< 0.1%
1033.95	1	< 0.1%
800.48	1	< 0.1%
609.23	1	< 0.1%
583.44	1	< 0.1%

주거공용면적
Real number (ℝ)

SKEWED ZEROS

Distinct	6934
Distinct (%)	69.4%
Missing	6
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	17.875147

Minimum	0
Maximum	1316.8868
Zeros	1631
Zeros (%)	16.3%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	12.89235
median	18.911
Q3	23.4116
95-th percentile	28.762185
Maximum	1316.8868
Range	1316.8868
Interquartile range (IQR)	10.51925

Descriptive statistics

Standard deviation	25.746745
Coefficient of variation (CV)	1.4403655
Kurtosis	1234.3869
Mean	17.875147
Median Absolute Deviation (MAD)	5.0806
Skewness	30.509809
Sum	178644.21
Variance	662.89487
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	1631	16.3%
5.85	28	0.3%
13.48	18	0.2%
13.38	15	0.1%
17.1238	14	0.1%
13.56	12	0.1%
13.5	12	0.1%
13.85	12	0.1%
14.02	12	0.1%
12.6	11	0.1%
Other values (6924)	8229	82.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1631	16.3%
0.02	1	< 0.1%
1.49	1	< 0.1%
1.59	1	< 0.1%
1.82	2	< 0.1%
2.0	1	< 0.1%
2.15	3	< 0.1%
2.21	1	< 0.1%
2.55	2	< 0.1%
2.71	1	< 0.1%

Value	Count	Frequency (%)
1316.8868	1	< 0.1%
1116.1334	1	< 0.1%
883.7344	1	< 0.1%
618.5313	1	< 0.1%
616.9807	1	< 0.1%
598.6528	1	< 0.1%
577.2126	1	< 0.1%
501.9927	1	< 0.1%
429.3665	1	< 0.1%
290.84	1	< 0.1%

공급면적
Real number (ℝ)

SKEWED ZEROS

Distinct	7550
Distinct (%)	75.5%
Missing	6
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	73.419837

Minimum	0
Maximum	4029.2668
Zeros	101
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	27.286775
Q1	52.5
median	68.98065
Q3	82.57255
95-th percentile	113.52406
Maximum	4029.2668
Range	4029.2668
Interquartile range (IQR)	30.07255

Descriptive statistics

Standard deviation	80.134542
Coefficient of variation (CV)	1.0914563
Kurtosis	1106.013
Mean	73.419837
Median Absolute Deviation (MAD)	15.56995
Skewness	28.036401
Sum	733757.85
Variance	6421.5449
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	101	1.0%
42.98	50	0.5%
49.59	37	0.4%
56.2	30	0.3%
57.55	27	0.3%
49.49	25	0.2%
57.92	25	0.2%
45.55	24	0.2%
33.06	22	0.2%
52.89	22	0.2%
Other values (7540)	9631	96.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	101	1.0%
7.41	1	< 0.1%
11.83	1	< 0.1%
12.0	1	< 0.1%
12.02	1	< 0.1%
12.36	1	< 0.1%
12.62	1	< 0.1%
12.67	1	< 0.1%
12.72	3	< 0.1%
13.02	1	< 0.1%

Value	Count	Frequency (%)
4029.2668	1	< 0.1%
3415.0234	1	< 0.1%
2703.9544	1	< 0.1%
1887.7707	1	< 0.1%
1831.6928	1	< 0.1%
1766.0926	1	< 0.1%
1535.9427	1	< 0.1%
1419.0113	1	< 0.1%
985.0365	1	< 0.1%
828.81	1	< 0.1%

호수
Real number (ℝ)

Distinct	702
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	115.5533

Minimum	1
Maximum	3320
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	8
median	56.5
Q3	154
95-th percentile	439
Maximum	3320
Range	3319
Interquartile range (IQR)	146

Descriptive statistics

Standard deviation	169.71724
Coefficient of variation (CV)	1.4687356
Kurtosis	34.82306
Mean	115.5533
Median Absolute Deviation (MAD)	53.5
Skewness	3.9818499
Sum	1155533
Variance	28803.942
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1071	10.7%
2	477	4.8%
3	317	3.2%
4	260	2.6%
8	173	1.7%
6	164	1.6%
60	127	1.3%
120	126	1.3%
30	123	1.2%
5	111	1.1%
Other values (692)	7051	70.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1071	10.7%
2	477	4.8%
3	317	3.2%
4	260	2.6%
5	111	1.1%
6	164	1.6%
7	91	0.9%
8	173	1.7%
9	69	0.7%
10	96	1.0%

Value	Count	Frequency (%)
3320	1	< 0.1%
3000	1	< 0.1%
2023	1	< 0.1%
1825	1	< 0.1%
1780	1	< 0.1%
1768	1	< 0.1%
1752	1	< 0.1%
1746	1	< 0.1%
1580	1	< 0.1%
1563	1	< 0.1%

입주지정시작일자
Date

MISSING

Distinct	1757
Distinct (%)	18.6%
Missing	574
Missing (%)	5.7%
Memory size	156.2 KiB

Minimum	1976-11-01 00:00:00
Maximum	2027-09-30 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

입주지정종료일자
Date

MISSING

Distinct	1902
Distinct (%)	20.2%
Missing	587
Missing (%)	5.9%
Memory size	156.2 KiB

Minimum	1976-11-30 00:00:00
Maximum	2027-11-30 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

First rows
Last rows

	지역본부	단지코드	관리기관	단지명	시군구명	(법정동)법정동일련번호	(법정동)주소	(법정동)지번-산	(법정동)본번	(법정동)부번	(법정동)상세주소	(도로명)우편번호	(도로명)주소	(도로명)상세주소	공급유형명	전용면적	주거공용면적	공급면적	호수	입주지정시작일자	입주지정종료일자
4683	강원지역본부	C01220	공사	원주개운2	원주시	5113010700	강원특별자치도 원주시 단구동	산번지	1461	<NA>	<NA>	26449	강원특별자치도 원주시 서원대로 427(단구동 개운2차한신휴플러스아파트 201)	<NA>	공공분양	65.19	0.0	65.19	2	1988-01-01	1988-01-31
620	부산울산지역본부	C00856	공사	부산망미	연제구	2647010200	부산 연제구 연산동	산번지	2220	<NA>	<NA>	47573	부산광역시 연제구 토현로	10 (연산동)	장기임대	92.56	0.0	92.56	46	1999-01-01	1999-01-01
11554	경기북부지역본부	C01262	공사	의정부녹양 A1블럭(의정부녹양1)	의정부시	4115011100	경기 의정부시 녹양동	일반번지	0409	<NA>	<NA>	11609	경기도 의정부시 체육로 278(녹양동 휴먼시아아파트 101동)	278 휴먼시아(녹양1단지)	국민임대	36.68	17.1761	53.8561	437	2008-05-10	2008-06-18
8690	광주전남지역본부	D00423	공사	광주광역시 북구 양산동 93-18(오션빌)	북구	2917012800	광주광역시 북구 양산동	일반번지	0093	0018	<NA>	61071	광주광역시 북구 양지마을길 8	<NA>	신축다세대매입임대	46.53	15.2	61.73	3	2013-05-20	2013-06-20
11466	경기북부지역본부	C00785	공사	동두천송내1	부천시	4119710500	경기 부천시 소사구 송내동	산번지	0717	0002	<NA>	11349	경기도 동두천시 지행로	16 (송내 주공1단지 아파트)	공공분양	84.76	23.0892	107.8492	216	2004-08-26	2004-09-24
11822	경기북부지역본부	C01725	공사	남양주별가람1-4단지	남양주시	4136011100	경기도 남양주시 별내동	일반번지	0808	<NA>	<NA>	12097	경기도 남양주시 덕송3로 7(별내동 별가람마을아파트)	별가람1-4	공공임대(10년)	84.64	26.108	110.748	2	2013-12-23	2014-01-21
14230	대전충남지사	C00357	공단	조치원신흥2	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	339800	393번지	<NA>	공공분양	84.84	17.7827	102.6227	240	1999-05-14	1999-06-30
11566	경기북부지역본부	C01264	공사	의정부민락	의정부시	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	11806	경기도 의정부시 오목로	150 (민락동)	근로복지	59.39	22.8804	82.2704	90	1999-08-18	1999-10-15
10120	경남지역본부	C00660	공사	김해진영	김해시	4825025027	경상남도 김해시 여래리	산번지	0981	<NA>	<NA>	50864	경상남도 김해시 진영읍 김해대로 462(진영휴먼시아아파트)	462 (진영휴먼시아)	국민임대	39.72	18.754	58.474	345	2010-04-10	2010-05-09
14632	광주전남지사	C00094	공단	나주용산2	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	520754	344번지	<NA>	공공분양	39.74	11.8948	51.6348	89	1999-02-27	1999-03-18

	지역본부	단지코드	관리기관	단지명	시군구명	(법정동)법정동일련번호	(법정동)주소	(법정동)지번-산	(법정동)본번	(법정동)부번	(법정동)상세주소	(도로명)우편번호	(도로명)주소	(도로명)상세주소	공급유형명	전용면적	주거공용면적	공급면적	호수	입주지정시작일자	입주지정종료일자
14911	대구경북지사	C00117	공단	대구월성2	달서구	2729012000	대구광역시 달서구 월성동	일반번지	86	<NA>	<NA>	42732	대구광역시 달서구 월성로 77(월성동 월성주공아파트2단지)	<NA>	임대상가	25.2	0.0	25.2	3	1991-09-30	1991-10-29
10733	경남지역본부	C02821	공사	진주가좌(행복주택)	진주시	4817013100	경상남도 진주시 가좌동	일반번지	1072	<NA>	<NA>	<NA>	<NA>	<NA>	행복주택	14.82	9.9014	24.7214	148	2024-06-30	2024-07-31
1194	인천지역본부	C01565	공사	화도진분전	동구	2814010200	인천 동구 화수동	산번지	0321	<NA>	<NA>	401020	인천 동구 화수동 321 화도진그린빌	<NA>	공공분양	59.79	25.6925	85.4825	16	2001-12-01	2001-12-31
2955	경기남부지역본부	C01704	공사	오산세교 9단지	오산시	4137010700	경기 오산시 금암동	블럭	0B-3	<NA>	<NA>	447280	경기 오산시 금암동 B-3BL 죽미마을 휴먼시아 휴튼9단지	<NA>	공공분양	84.53	25.6999	110.2299	6	2011-07-29	2011-09-27
4537	강원지역본부	C00462	공사	강릉노암2	강릉시	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	25591	강원특별자치도 강릉시 노가니남길	25 주공아파트 (노암동)	공공분양	62.81	0.0	62.81	2	<NA>	<NA>
3954	경기남부지역본부	C02712	공사	수원당수1(행복·영구)	수원시	4111314100	경기도 수원시 권선구 당수동	블럭	<NA>	<NA>	수원당수 A-1BL	16373	경기도 수원시 권선구 당수로130번길 13(당수동)	<NA>	행복주택	26.88	14.4429	41.3229	230	2023-05-15	2023-07-13
5761	대전충남지역본부	C00019	공사	아산배방11블럭	아산시	<NA>	<NA>	일반번지	<NA>	<NA>	<NA>	336857	충남 아산시 배방면 장재리 159번지 아산배방11블럭	<NA>	공공분양	74.32	23.8627	98.1827	330	2010-09-30	2010-10-29
5404	충북지역본부	C01596	공사	음성감곡	음성군	4377037021	충북 음성군 오향리	일반번지	1181	<NA>	<NA>	27611	충청북도 음성군 감곡면 오향로 31(음성감곡휴먼시아)	<NA>	국민임대	39.57	18.3535	57.9235	344	2010-11-09	2010-12-08
4773	강원지역본부	C01486	공사	춘천근화	춘천시	5111011700	강원특별자치도 춘천시 근화동	산번지	0279	0008	<NA>	24361	강원특별자치도 춘천시 근화길15번길	26 (근화동)	공공분양	56.2	0.0	56.2	2	1988-01-01	1988-01-31
13644	경기남부지사	C00399	공단	평택송화	평택시	4122025000	경기도 평택시 팽성읍	일반번지	0163	<NA>	<NA>	17993	경기도 평택시 팽성읍 팽성송화로	163	국민임대	46.22	20.8438	67.0638	253	2004-06-18	2004-07-17

Overview

Variables

Common Values

Length

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Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

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Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Lowercase Letter

Other Punctuation

Open Punctuation

Close Punctuation

Math Symbol

Space Separator

Dash Punctuation

Connector Punctuation

Other Symbol

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

None

CJK Compat

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Most occurring scripts

Most frequent character per script

Hangul

Most occurring blocks

Most frequent character per block

Hangul

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

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Other Letter

Dash Punctuation

Most occurring scripts