gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	10000
Missing cells	4
Missing cells (%)	< 0.1%
Duplicate rows	23
Duplicate rows (%)	0.2%
Total size in memory	1.6 MiB
Average record size in memory	170.0 B

Variable types

Text	9
Numeric	8
Categorical	2

Dataset

Description	Sample
Author	어반베이스
URL	https://www.bigdata-realestate.kr/rebpp/usr/prd/prdInfoDetail.do?req_productId=85

Alerts

`UPDATE_QY` has constant value ""	Constant
Dataset has 23 (0.2%) duplicate rows	Duplicates
`SPL_DIMS` is highly overall correlated with `XU_DIMS` and 2 other fields	High correlation
`XU_DIMS` is highly overall correlated with `SPL_DIMS` and 3 other fields	High correlation
`RMCT` is highly overall correlated with `SPL_DIMS` and 3 other fields	High correlation
`BALCONY_CNT` is highly overall correlated with `XU_DIMS` and 2 other fields	High correlation
`TLROM_CNT` is highly overall correlated with `SPL_DIMS` and 3 other fields	High correlation
`VSTB_CNT` is highly imbalanced (78.9%)	Imbalance
`BILD_CMCN_YM` is highly skewed (γ1 = -21.95810678)	Skewed
`TOTPRK_ECCT` has 812 (8.1%) zeros	Zeros
`BALCONY_CNT` has 2453 (24.5%) zeros	Zeros
`TLROM_CNT` has 171 (1.7%) zeros	Zeros
`WRHS_CNT` has 2001 (20.0%) zeros	Zeros

Reproduction

Analysis started	2023-12-11 22:31:42.047111
Analysis finished	2023-12-11 22:31:52.870898
Duration	10.82 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

BULD_NM
Text

Distinct	5386
Distinct (%)	53.9%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	27
Median length	22
Mean length	9.0224
Min length	2

Characters and Unicode

Total characters	90224
Distinct characters	645
Distinct categories	11 ?
Distinct scripts	4 ?
Distinct blocks	5 ?

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

Unique

Unique	3118 ?
Unique (%)	31.2%

Sample

1st row	래미안 신반포 팰리스
2nd row	신내데시앙포레
3rd row	동탄 파크 푸르지오
4th row	가락7차현대아파트
5th row	사당롯데캐슬골든포레

Value	Count	Frequency (%)
아파트	157	1.2%
푸르지오	66	0.5%
2단지	65	0.5%
1단지	64	0.5%
e편한세상	59	0.5%
더샵	54	0.4%
더	53	0.4%
래미안	50	0.4%
2차	47	0.4%
오피스텔	44	0.3%
Other values (5814)	12208	94.9%

Most occurring characters

Value	Count	Frequency (%)
트	3206	3.6%
스	2963	3.3%
아	2874	3.2%
	2868	3.2%
파	2718	3.0%
지	2149	2.4%
이	2114	2.3%
시	1548	1.7%
리	1350	1.5%
오	1233	1.4%
Other values (635)	67201	74.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	80568	89.3%
Space Separator	2868	3.2%
Decimal Number	2775	3.1%
Uppercase Letter	1718	1.9%
Open Punctuation	803	0.9%
Close Punctuation	803	0.9%
Lowercase Letter	386	0.4%
Dash Punctuation	160	0.2%
Other Punctuation	97	0.1%
Letter Number	44	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
트	3206	4.0%
스	2963	3.7%
아	2874	3.6%
파	2718	3.4%
지	2149	2.7%
이	2114	2.6%
시	1548	1.9%
리	1350	1.7%
오	1233	1.5%
크	1219	1.5%
Other values (564)	59194	73.5%

Uppercase Letter

Value	Count	Frequency (%)
C	218	12.7%
S	212	12.3%
K	179	10.4%
L	150	8.7%
B	121	7.0%
A	95	5.5%
M	93	5.4%
I	92	5.4%
D	68	4.0%
T	67	3.9%
Other values (15)	423	24.6%

Lowercase Letter

Value	Count	Frequency (%)
e	232	60.1%
l	37	9.6%
i	21	5.4%
s	16	4.1%
t	15	3.9%
a	9	2.3%
h	8	2.1%
w	8	2.1%
c	7	1.8%
u	6	1.6%
Other values (10)	27	7.0%

Decimal Number

Value	Count	Frequency (%)
1	866	31.2%
2	856	30.8%
3	371	13.4%
4	162	5.8%
5	131	4.7%
6	99	3.6%
9	78	2.8%
0	78	2.8%
7	70	2.5%
8	64	2.3%

Other Punctuation

Value	Count	Frequency (%)
,	50	51.5%
&	18	18.6%
.	17	17.5%
·	6	6.2%
:	3	3.1%
'	2	2.1%
#	1	1.0%

Letter Number

Value	Count	Frequency (%)
Ⅱ	34	77.3%
Ⅰ	7	15.9%
Ⅲ	2	4.5%
Ⅳ	1	2.3%

Space Separator

Value	Count	Frequency (%)
	2868	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	803	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	803	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	160	100.0%

Math Symbol

Value	Count	Frequency (%)
~	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	80567	89.3%
Common	7508	8.3%
Latin	2148	2.4%
Han	1	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
트	3206	4.0%
스	2963	3.7%
아	2874	3.6%
파	2718	3.4%
지	2149	2.7%
이	2114	2.6%
시	1548	1.9%
리	1350	1.7%
오	1233	1.5%
크	1219	1.5%
Other values (563)	59193	73.5%

Latin

Value	Count	Frequency (%)
e	232	10.8%
C	218	10.1%
S	212	9.9%
K	179	8.3%
L	150	7.0%
B	121	5.6%
A	95	4.4%
M	93	4.3%
I	92	4.3%
D	68	3.2%
Other values (39)	688	32.0%

Common

Value	Count	Frequency (%)
	2868	38.2%
1	866	11.5%
2	856	11.4%
(	803	10.7%
)	803	10.7%
3	371	4.9%
4	162	2.2%
-	160	2.1%
5	131	1.7%
6	99	1.3%
Other values (12)	389	5.2%

Han

Value	Count	Frequency (%)
新	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	80567	89.3%
ASCII	9606	10.6%
Number Forms	44	< 0.1%
None	6	< 0.1%
CJK	1	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
트	3206	4.0%
스	2963	3.7%
아	2874	3.6%
파	2718	3.4%
지	2149	2.7%
이	2114	2.6%
시	1548	1.9%
리	1350	1.7%
오	1233	1.5%
크	1219	1.5%
Other values (563)	59193	73.5%

ASCII

Value	Count	Frequency (%)
	2868	29.9%
1	866	9.0%
2	856	8.9%
(	803	8.4%
)	803	8.4%
3	371	3.9%
e	232	2.4%
C	218	2.3%
S	212	2.2%
K	179	1.9%
Other values (56)	2198	22.9%

Number Forms

Value	Count	Frequency (%)
Ⅱ	34	77.3%
Ⅰ	7	15.9%
Ⅲ	2	4.5%
Ⅳ	1	2.3%

None

Value	Count	Frequency (%)
·	6	100.0%

CJK

Value	Count	Frequency (%)
新	1	100.0%

LNNO_ADRES
Text

Distinct	5538
Distinct (%)	55.4%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	51
Median length	42
Mean length	19.3019
Min length	10

Characters and Unicode

Total characters	193019
Distinct characters	367
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	3298 ?
Unique (%)	33.0%

Sample

1st row	서울특별시 서초구 잠원동 158
2nd row	서울특별시 중랑구 신내동 817
3rd row	경기도 화성시 영천동 37-16
4th row	서울특별시 송파구 가락동 171-5
5th row	서울특별시 동작구 사당동 181

Value	Count	Frequency (%)
경기도	2779	6.3%
서울특별시	2003	4.6%
부산광역시	709	1.6%
인천광역시	470	1.1%
일원	421	1.0%
서울시	410	0.9%
경상남도	406	0.9%
충청남도	332	0.8%
서구	293	0.7%
성남시	266	0.6%
Other values (6177)	35926	81.6%

Most occurring characters

Value	Count	Frequency (%)
	34024	17.6%
동	10336	5.4%
시	10264	5.3%
1	8178	4.2%
구	7813	4.0%
도	5289	2.7%
-	4916	2.5%
2	4235	2.2%
3	3916	2.0%
서	3851	2.0%
Other values (357)	100197	51.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	115626	59.9%
Decimal Number	37374	19.4%
Space Separator	34024	17.6%
Dash Punctuation	4916	2.5%
Uppercase Letter	713	0.4%
Open Punctuation	136	0.1%
Close Punctuation	136	0.1%
Other Punctuation	87	< 0.1%
Lowercase Letter	7	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	10336	8.9%
시	10264	8.9%
구	7813	6.8%
도	5289	4.6%
서	3851	3.3%
경	3488	3.0%
기	2978	2.6%
산	2901	2.5%
울	2701	2.3%
광	2561	2.2%
Other values (321)	63444	54.9%

Uppercase Letter

Value	Count	Frequency (%)
A	194	27.2%
B	192	26.9%
L	147	20.6%
C	63	8.8%
M	34	4.8%
H	31	4.3%
S	17	2.4%
R	8	1.1%
O	6	0.8%
E	4	0.6%
Other values (7)	17	2.4%

Decimal Number

Value	Count	Frequency (%)
1	8178	21.9%
2	4235	11.3%
3	3916	10.5%
5	3473	9.3%
4	3364	9.0%
6	3126	8.4%
7	3062	8.2%
0	2818	7.5%
8	2729	7.3%
9	2473	6.6%

Other Punctuation

Value	Count	Frequency (%)
,	81	93.1%
·	4	4.6%
.	2	2.3%

Lowercase Letter

Value	Count	Frequency (%)
b	4	57.1%
c	3	42.9%

Space Separator

Value	Count	Frequency (%)
	34024	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4916	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	136	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	136	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	115626	59.9%
Common	76673	39.7%
Latin	720	0.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	10336	8.9%
시	10264	8.9%
구	7813	6.8%
도	5289	4.6%
서	3851	3.3%
경	3488	3.0%
기	2978	2.6%
산	2901	2.5%
울	2701	2.3%
광	2561	2.2%
Other values (321)	63444	54.9%

Latin

Value	Count	Frequency (%)
A	194	26.9%
B	192	26.7%
L	147	20.4%
C	63	8.8%
M	34	4.7%
H	31	4.3%
S	17	2.4%
R	8	1.1%
O	6	0.8%
b	4	0.6%
Other values (9)	24	3.3%

Common

Value	Count	Frequency (%)
	34024	44.4%
1	8178	10.7%
-	4916	6.4%
2	4235	5.5%
3	3916	5.1%
5	3473	4.5%
4	3364	4.4%
6	3126	4.1%
7	3062	4.0%
0	2818	3.7%
Other values (7)	5561	7.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	115626	59.9%
ASCII	77389	40.1%
None	4	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	34024	44.0%
1	8178	10.6%
-	4916	6.4%
2	4235	5.5%
3	3916	5.1%
5	3473	4.5%
4	3364	4.3%
6	3126	4.0%
7	3062	4.0%
0	2818	3.6%
Other values (25)	6277	8.1%

Hangul

Value	Count	Frequency (%)
동	10336	8.9%
시	10264	8.9%
구	7813	6.8%
도	5289	4.6%
서	3851	3.3%
경	3488	3.0%
기	2978	2.6%
산	2901	2.5%
울	2701	2.3%
광	2561	2.2%
Other values (321)	63444	54.9%

None

Value	Count	Frequency (%)
·	4	100.0%

RN
Text

Distinct	5391
Distinct (%)	53.9%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	40
Median length	34
Mean length	18.0031
Min length	6

Characters and Unicode

Total characters	180031
Distinct characters	471
Distinct categories	9 ?
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	3213 ?
Unique (%)	32.1%

Sample

1st row	서울특별시 서초구 잠원로8길 35
2nd row	서울특별시 중랑구 신내역로 165
3rd row	경기도 화성시 동탄대로24가길 7
4th row	서울특별시 송파구 오금로44가길 27
5th row	서울특별시 동작구 사당로 90

Value	Count	Frequency (%)
경기도	2781	6.8%
서울특별시	2178	5.3%
부산광역시	801	2.0%
인천광역시	518	1.3%
경상남도	406	1.0%
충청남도	332	0.8%
서구	293	0.7%
대구광역시	277	0.7%
성남시	266	0.7%
수원시	263	0.6%
Other values (5540)	32788	80.2%

Most occurring characters

Value	Count	Frequency (%)
	30903	17.2%
시	10274	5.7%
로	8022	4.5%
구	7486	4.2%
1	6334	3.5%
도	4983	2.8%
2	4093	2.3%
서	3957	2.2%
경	3582	2.0%
길	3513	2.0%
Other values (461)	96884	53.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	118138	65.6%
Space Separator	30903	17.2%
Decimal Number	29642	16.5%
Dash Punctuation	1198	0.7%
Uppercase Letter	131	0.1%
Open Punctuation	6	< 0.1%
Close Punctuation	6	< 0.1%
Other Punctuation	4	< 0.1%
Lowercase Letter	3	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	10274	8.7%
로	8022	6.8%
구	7486	6.3%
도	4983	4.2%
서	3957	3.3%
경	3582	3.0%
길	3513	3.0%
기	2985	2.5%
광	2918	2.5%
울	2764	2.3%
Other values (436)	67654	57.3%

Decimal Number

Value	Count	Frequency (%)
1	6334	21.4%
2	4093	13.8%
3	3406	11.5%
5	2718	9.2%
4	2625	8.9%
0	2424	8.2%
6	2230	7.5%
7	2201	7.4%
9	1816	6.1%
8	1795	6.1%

Uppercase Letter

Value	Count	Frequency (%)
B	31	23.7%
H	25	19.1%
A	23	17.6%
L	21	16.0%
C	18	13.7%
S	8	6.1%
O	4	3.1%
F	1	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	2	50.0%
,	2	50.0%

Space Separator

Value	Count	Frequency (%)
	30903	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1198	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Lowercase Letter

Value	Count	Frequency (%)
c	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	118138	65.6%
Common	61759	34.3%
Latin	134	0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	10274	8.7%
로	8022	6.8%
구	7486	6.3%
도	4983	4.2%
서	3957	3.3%
경	3582	3.0%
길	3513	3.0%
기	2985	2.5%
광	2918	2.5%
울	2764	2.3%
Other values (436)	67654	57.3%

Common

Value	Count	Frequency (%)
	30903	50.0%
1	6334	10.3%
2	4093	6.6%
3	3406	5.5%
5	2718	4.4%
4	2625	4.3%
0	2424	3.9%
6	2230	3.6%
7	2201	3.6%
9	1816	2.9%
Other values (6)	3009	4.9%

Latin

Value	Count	Frequency (%)
B	31	23.1%
H	25	18.7%
A	23	17.2%
L	21	15.7%
C	18	13.4%
S	8	6.0%
O	4	3.0%
c	3	2.2%
F	1	0.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	118138	65.6%
ASCII	61893	34.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	30903	49.9%
1	6334	10.2%
2	4093	6.6%
3	3406	5.5%
5	2718	4.4%
4	2625	4.2%
0	2424	3.9%
6	2230	3.6%
7	2201	3.6%
9	1816	2.9%
Other values (15)	3143	5.1%

Hangul

Value	Count	Frequency (%)
시	10274	8.7%
로	8022	6.8%
구	7486	6.3%
도	4983	4.2%
서	3957	3.3%
경	3582	3.0%
길	3513	3.0%
기	2985	2.5%
광	2918	2.5%
울	2764	2.3%
Other values (436)	67654	57.3%

TOTPRK_ECCT
Real number (ℝ)

ZEROS

Distinct	1674
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	675.86725

Minimum	0
Maximum	12456
Zeros	812
Zeros (%)	8.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	101
median	434
Q3	968
95-th percentile	2100.05
Maximum	12456
Range	12456
Interquartile range (IQR)	867

Descriptive statistics

Standard deviation	857.48245
Coefficient of variation (CV)	1.2687143
Kurtosis	35.982069
Mean	675.86725
Median Absolute Deviation (MAD)	373
Skewness	4.114062
Sum	6758672.5
Variance	735276.14
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	812	8.1%
40.0	39	0.4%
179.0	36	0.4%
19.0	32	0.3%
57.0	32	0.3%
91.0	31	0.3%
37.0	30	0.3%
82.0	30	0.3%
12.0	30	0.3%
16.0	29	0.3%
Other values (1664)	8899	89.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	812	8.1%
1.0	8	0.1%
1.15	1	< 0.1%
1.32	1	< 0.1%
2.0	4	< 0.1%
3.0	3	< 0.1%
4.0	5	0.1%
5.0	8	0.1%
6.0	11	0.1%
7.0	12	0.1%

Value	Count	Frequency (%)
12456.0	7	0.1%
9766.0	3	< 0.1%
9063.0	2	< 0.1%
7876.0	2	< 0.1%
7712.0	1	< 0.1%
7150.0	1	< 0.1%
6514.0	1	< 0.1%
6405.0	2	< 0.1%
6331.0	2	< 0.1%
5999.0	3	< 0.1%

CSFM_NM
Text

Distinct	2463
Distinct (%)	24.6%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	57
Median length	49
Mean length	8.2859
Min length	1

Characters and Unicode

Total characters	82859
Distinct characters	378
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	1256 ?
Unique (%)	12.6%

Sample

1st row	삼성물산(주)
2nd row	(주)태영건설
3rd row	(주)대우건설,계룡건설산업(주),대우조선해양건설(주)
4th row	현대건설(주)
5th row	롯데건설(주)

Value	Count	Frequency (%)
주)대우건설	453	4.2%
주식회사	324	3.0%
	268	2.5%
현대건설(주	253	2.4%
지에스건설(주	219	2.0%
주)포스코건설	209	2.0%
대림산업(주	167	1.6%
삼성물산(주	155	1.4%
hdc현대산업개발	154	1.4%
롯데건설(주	147	1.4%
Other values (2395)	8357	78.1%

Most occurring characters

Value	Count	Frequency (%)
주	9926	12.0%
(	8600	10.4%
)	8597	10.4%
건	7224	8.7%
설	6759	8.2%
대	2256	2.7%
산	1819	2.2%
업	1592	1.9%
합	1329	1.6%
종	1326	1.6%
Other values (368)	33431	40.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	62021	74.9%
Open Punctuation	8607	10.4%
Close Punctuation	8604	10.4%
Other Punctuation	1182	1.4%
Uppercase Letter	1055	1.3%
Space Separator	706	0.9%
Dash Punctuation	267	0.3%
Decimal Number	169	0.2%
Other Symbol	156	0.2%
Lowercase Letter	92	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
주	9926	16.0%
건	7224	11.6%
설	6759	10.9%
대	2256	3.6%
산	1819	2.9%
업	1592	2.6%
합	1329	2.1%
종	1326	2.1%
사	1133	1.8%
우	1123	1.8%
Other values (329)	27534	44.4%

Uppercase Letter

Value	Count	Frequency (%)
C	255	24.2%
H	228	21.6%
D	193	18.3%
S	127	12.0%
G	74	7.0%
K	59	5.6%
L	52	4.9%
E	28	2.7%
T	19	1.8%
I	9	0.9%
Other values (6)	11	1.0%

Decimal Number

Value	Count	Frequency (%)
1	100	59.2%
2	33	19.5%
5	11	6.5%
3	11	6.5%
4	7	4.1%
0	7	4.1%

Other Punctuation

Value	Count	Frequency (%)
,	1097	92.8%
&	35	3.0%
;	28	2.4%
.	15	1.3%
/	7	0.6%

Lowercase Letter

Value	Count	Frequency (%)
p	28	30.4%
m	28	30.4%
a	28	30.4%
k	4	4.3%
s	4	4.3%

Open Punctuation

Value	Count	Frequency (%)
(	8600	99.9%
[	7	0.1%

Close Punctuation

Value	Count	Frequency (%)
)	8597	99.9%
]	7	0.1%

Space Separator

Value	Count	Frequency (%)
	706	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	267	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	156	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	62177	75.0%
Common	19535	23.6%
Latin	1147	1.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
주	9926	16.0%
건	7224	11.6%
설	6759	10.9%
대	2256	3.6%
산	1819	2.9%
업	1592	2.6%
합	1329	2.1%
종	1326	2.1%
사	1133	1.8%
우	1123	1.8%
Other values (330)	27690	44.5%

Latin

Value	Count	Frequency (%)
C	255	22.2%
H	228	19.9%
D	193	16.8%
S	127	11.1%
G	74	6.5%
K	59	5.1%
L	52	4.5%
p	28	2.4%
m	28	2.4%
E	28	2.4%
Other values (11)	75	6.5%

Common

Value	Count	Frequency (%)
(	8600	44.0%
)	8597	44.0%
,	1097	5.6%
	706	3.6%
-	267	1.4%
1	100	0.5%
&	35	0.2%
2	33	0.2%
;	28	0.1%
.	15	0.1%
Other values (7)	57	0.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	62021	74.9%
ASCII	20682	25.0%
None	156	0.2%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
주	9926	16.0%
건	7224	11.6%
설	6759	10.9%
대	2256	3.6%
산	1819	2.9%
업	1592	2.6%
합	1329	2.1%
종	1326	2.1%
사	1133	1.8%
우	1123	1.8%
Other values (329)	27534	44.4%

ASCII

Value	Count	Frequency (%)
(	8600	41.6%
)	8597	41.6%
,	1097	5.3%
	706	3.4%
-	267	1.3%
C	255	1.2%
H	228	1.1%
D	193	0.9%
S	127	0.6%
1	100	0.5%
Other values (28)	512	2.5%

None

Value	Count	Frequency (%)
㈜	156	100.0%

BILD_CMCN_YM
Real number (ℝ)

SKEWED

Distinct	506
Distinct (%)	5.1%
Missing	4
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	200853.09

Minimum	1
Maximum	202512
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1
5-th percentile	199306
Q1	200711
median	201602
Q3	201907
95-th percentile	202209
Maximum	202512
Range	202511
Interquartile range (IQR)	1196

Descriptive statistics

Standard deviation	9039.0246
Coefficient of variation (CV)	0.045003164
Kurtosis	485.11994
Mean	200853.09
Median Absolute Deviation (MAD)	407
Skewness	-21.958107
Sum	2.0077275 × 10⁹
Variance	81703966
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
201901	97	1.0%
201811	93	0.9%
201711	93	0.9%
201902	87	0.9%
201801	85	0.9%
201806	85	0.9%
201906	84	0.8%
201802	83	0.8%
201908	83	0.8%
201702	82	0.8%
Other values (496)	9124	91.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	20	0.2%
197112	1	< 0.1%
197404	1	< 0.1%
197408	1	< 0.1%
197506	1	< 0.1%
197511	4	< 0.1%
197606	3	< 0.1%
197608	2	< 0.1%
197710	5	0.1%
197712	2	< 0.1%

Value	Count	Frequency (%)
202512	1	< 0.1%
202504	1	< 0.1%
202503	3	< 0.1%
202412	2	< 0.1%
202411	10	0.1%
202410	3	< 0.1%
202407	1	< 0.1%
202406	5	0.1%
202404	16	0.2%
202403	3	< 0.1%

SPL_DIMS
Real number (ℝ)

HIGH CORRELATION

Distinct	6564
Distinct (%)	65.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	104.55979

Minimum	13
Maximum	511.93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	13
5-th percentile	38.0885
Q1	76.7825
median	103.065
Q3	117.41
95-th percentile	190.164
Maximum	511.93
Range	498.93
Interquartile range (IQR)	40.6275

Descriptive statistics

Standard deviation	48.185413
Coefficient of variation (CV)	0.46084075
Kurtosis	5.3244863
Mean	104.55979
Median Absolute Deviation (MAD)	23.14
Skewness	1.5460247
Sum	1045597.9
Variance	2321.834
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
109.09	12	0.1%
113.41	9	0.1%
112.3	9	0.1%
112.4	8	0.1%
109.88	8	0.1%
112.57	8	0.1%
112.49	7	0.1%
111.4	7	0.1%
111.76	7	0.1%
114.09	7	0.1%
Other values (6554)	9918	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13.0	1	< 0.1%
13.2	1	< 0.1%
16.18	1	< 0.1%
17.25	1	< 0.1%
18.05	1	< 0.1%
18.09	1	< 0.1%
18.65	1	< 0.1%
18.84	1	< 0.1%
18.96	1	< 0.1%
19.16	1	< 0.1%

Value	Count	Frequency (%)
511.93	1	< 0.1%
480.06	1	< 0.1%
478.72	1	< 0.1%
463.51	1	< 0.1%
444.91	1	< 0.1%
413.78	1	< 0.1%
394.69	1	< 0.1%
387.0	1	< 0.1%
377.98	1	< 0.1%
366.1	1	< 0.1%

XU_DIMS
Real number (ℝ)

HIGH CORRELATION

Distinct	4701
Distinct (%)	47.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	75.82854

Minimum	10.44
Maximum	817.02
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	10.44
5-th percentile	21.1695
Q1	49.83
median	75.9
Q3	84.98
95-th percentile	149.443
Maximum	817.02
Range	806.58
Interquartile range (IQR)	35.15

Descriptive statistics

Standard deviation	40.543339
Coefficient of variation (CV)	0.53467123
Kurtosis	13.952479
Mean	75.82854
Median Absolute Deviation (MAD)	16.59
Skewness	1.8108924
Sum	758285.4
Variance	1643.7623
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
84.98	280	2.8%
84.99	237	2.4%
84.97	189	1.9%
84.96	167	1.7%
84.95	138	1.4%
84.94	134	1.3%
59.99	126	1.3%
59.98	116	1.2%
84.93	96	1.0%
59.97	84	0.8%
Other values (4691)	8433	84.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10.44	1	< 0.1%
10.49	1	< 0.1%
10.5	1	< 0.1%
11.22	1	< 0.1%
11.72	1	< 0.1%
12.0	1	< 0.1%
12.02	1	< 0.1%
12.04	1	< 0.1%
12.11	1	< 0.1%
12.15	1	< 0.1%

Value	Count	Frequency (%)
817.02	1	< 0.1%
293.75	1	< 0.1%
291.98	1	< 0.1%
291.33	1	< 0.1%
289.73	1	< 0.1%
284.65	1	< 0.1%
283.11	1	< 0.1%
283.0	1	< 0.1%
274.67	1	< 0.1%
274.54	1	< 0.1%

RMCT
Real number (ℝ)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.6544

Minimum	0
Maximum	11
Zeros	56
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4
Q3	5
95-th percentile	6
Maximum	11
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.5199315
Coefficient of variation (CV)	0.4159182
Kurtosis	0.10368741
Mean	3.6544
Median Absolute Deviation (MAD)	1
Skewness	-0.20504194
Sum	36544
Variance	2.3101917
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
4	4017	40.2%
5	1838	18.4%
1	1377	13.8%
3	1202	12.0%
2	773	7.7%
6	496	5.0%
7	171	1.7%
0	56	0.6%
8	51	0.5%
9	16	0.2%
Other values (2)	3	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	56	0.6%
1	1377	13.8%
2	773	7.7%
3	1202	12.0%
4	4017	40.2%
5	1838	18.4%
6	496	5.0%
7	171	1.7%
8	51	0.5%
9	16	0.2%

Value	Count	Frequency (%)
11	2	< 0.1%
10	1	< 0.1%
9	16	0.2%
8	51	0.5%
7	171	1.7%
6	496	5.0%
5	1838	18.4%
4	4017	40.2%
3	1202	12.0%
2	773	7.7%

ROOM_DIMS_CONT
Text

Distinct	9627
Distinct (%)	96.3%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	81
Median length	67
Mean length	24.3838
Min length	1

Characters and Unicode

Total characters	243838
Distinct characters	14
Distinct categories	4 ?
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	9377 ?
Unique (%)	93.8%

Sample

1st row	34.85 / 13.45 / 9.37 / 7.96
2nd row	60.93 / 14.55 / 11.54 / 11.02 / 5.14
3rd row	36.69 / 12.65 / 9.33 / 9.06
4th row	28.8 / 16.41 / 10.81 / 9.26
5th row	32.37 / 16.26 / 11.57 / 7.23

Value	Count	Frequency (%)
	26656	42.2%
0.0	58	0.1%
8.76	48	0.1%
8.68	47	0.1%
7.77	45	0.1%
8.17	44	0.1%
7.9	44	0.1%
8.41	44	0.1%
7.88	44	0.1%
7.96	42	0.1%
Other values (5550)	36128	57.2%

Most occurring characters

Value	Count	Frequency (%)
	53200	21.8%
.	36502	15.0%
/	26600	10.9%
1	22798	9.3%
2	14410	5.9%
3	13549	5.6%
8	12052	4.9%
7	11830	4.9%
4	11636	4.8%
6	11548	4.7%
Other values (4)	29713	12.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	127480	52.3%
Other Punctuation	63102	25.9%
Space Separator	53200	21.8%
Dash Punctuation	56	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	22798	17.9%
2	14410	11.3%
3	13549	10.6%
8	12052	9.5%
7	11830	9.3%
4	11636	9.1%
6	11548	9.1%
5	11425	9.0%
9	11183	8.8%
0	7049	5.5%

Other Punctuation

Value	Count	Frequency (%)
.	36502	57.8%
/	26600	42.2%

Space Separator

Value	Count	Frequency (%)
	53200	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	56	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	243838	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	53200	21.8%
.	36502	15.0%
/	26600	10.9%
1	22798	9.3%
2	14410	5.9%
3	13549	5.6%
8	12052	4.9%
7	11830	4.9%
4	11636	4.8%
6	11548	4.7%
Other values (4)	29713	12.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	243838	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	53200	21.8%
.	36502	15.0%
/	26600	10.9%
1	22798	9.3%
2	14410	5.9%
3	13549	5.6%
8	12052	4.9%
7	11830	4.9%
4	11636	4.8%
6	11548	4.7%
Other values (4)	29713	12.2%

BALCONY_CNT
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.8716

Minimum	0
Maximum	13
Zeros	2453
Zeros (%)	24.5%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	13
Range	13
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.6324154
Coefficient of variation (CV)	0.87220312
Kurtosis	0.93334996
Mean	1.8716
Median Absolute Deviation (MAD)	1
Skewness	0.9378127
Sum	18716
Variance	2.6647799
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
2	2758	27.6%
0	2453	24.5%
1	1963	19.6%
3	1325	13.2%
4	724	7.2%
5	452	4.5%
6	211	2.1%
7	87	0.9%
8	20	0.2%
10	4	< 0.1%
Other values (2)	3	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2453	24.5%
1	1963	19.6%
2	2758	27.6%
3	1325	13.2%
4	724	7.2%
5	452	4.5%
6	211	2.1%
7	87	0.9%
8	20	0.2%
9	2	< 0.1%

Value	Count	Frequency (%)
13	1	< 0.1%
10	4	< 0.1%
9	2	< 0.1%
8	20	0.2%
7	87	0.9%
6	211	2.1%
5	452	4.5%
4	724	7.2%
3	1325	13.2%
2	2758	27.6%

BALCONY_DIMS_CONT
Text

Distinct	6304
Distinct (%)	63.0%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	88
Median length	64
Mean length	11.0951
Min length	1

Characters and Unicode

Total characters	110951
Distinct characters	14
Distinct categories	4 ?
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	5825 ?
Unique (%)	58.2%

Sample

1st row	5.05 / 3.92 / 3.45 / 2.95
2nd row	4.9 / 2.92
3rd row	2.29
4th row	12.1 / 9.34
5th row	7.77 / 7.71

Value	Count	Frequency (%)
	13622	42.1%
2.6	69	0.2%
2.55	68	0.2%
2.33	66	0.2%
2.86	66	0.2%
2.94	65	0.2%
2.25	64	0.2%
2.26	63	0.2%
2.73	63	0.2%
2.66	63	0.2%
Other values (1871)	18129	56.1%

Most occurring characters

Value	Count	Frequency (%)
	22338	20.1%
.	18699	16.9%
/	11169	10.1%
2	9336	8.4%
1	7730	7.0%
3	7706	6.9%
4	5765	5.2%
5	5137	4.6%
6	4793	4.3%
7	4629	4.2%
Other values (4)	13649	12.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	56292	50.7%
Other Punctuation	29868	26.9%
Space Separator	22338	20.1%
Dash Punctuation	2453	2.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	9336	16.6%
1	7730	13.7%
3	7706	13.7%
4	5765	10.2%
5	5137	9.1%
6	4793	8.5%
7	4629	8.2%
9	4408	7.8%
8	4392	7.8%
0	2396	4.3%

Other Punctuation

Value	Count	Frequency (%)
.	18699	62.6%
/	11169	37.4%

Space Separator

Value	Count	Frequency (%)
	22338	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2453	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	110951	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	22338	20.1%
.	18699	16.9%
/	11169	10.1%
2	9336	8.4%
1	7730	7.0%
3	7706	6.9%
4	5765	5.2%
5	5137	4.6%
6	4793	4.3%
7	4629	4.2%
Other values (4)	13649	12.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	110951	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	22338	20.1%
.	18699	16.9%
/	11169	10.1%
2	9336	8.4%
1	7730	7.0%
3	7706	6.9%
4	5765	5.2%
5	5137	4.6%
6	4793	4.3%
7	4629	4.2%
Other values (4)	13649	12.3%

TLROM_CNT
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.6099

Minimum	0
Maximum	5
Zeros	171
Zeros (%)	1.7%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

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

Descriptive statistics

Standard deviation	0.57267337
Coefficient of variation (CV)	0.35571984
Kurtosis	0.27783264
Mean	1.6099
Median Absolute Deviation (MAD)	0
Skewness	-0.174527
Sum	16099
Variance	0.32795479
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	5784	57.8%
1	3813	38.1%
3	213	2.1%
0	171	1.7%
4	16	0.2%
5	3	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	171	1.7%
1	3813	38.1%
2	5784	57.8%
3	213	2.1%
4	16	0.2%
5	3	< 0.1%

Value	Count	Frequency (%)
5	3	< 0.1%
4	16	0.2%
3	213	2.1%
2	5784	57.8%
1	3813	38.1%
0	171	1.7%

TLROM_DIMS_CONT
Text

Distinct	5980
Distinct (%)	59.8%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	34
Median length	32
Mean length	8.2017
Min length	1

Characters and Unicode

Total characters	82017
Distinct characters	14
Distinct categories	4 ?
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	4908 ?
Unique (%)	49.1%

Sample

1st row	3.02 / 3.0
2nd row	4.78 / 4.47
3rd row	2.8 / 2.55
4th row	3.34 / 1.95
5th row	4.02 / 3.04

Value	Count	Frequency (%)
	6441	28.6%
2.88	129	0.6%
2.86	128	0.6%
2.8	122	0.5%
2.75	118	0.5%
2.79	118	0.5%
2.92	114	0.5%
3.01	114	0.5%
2.87	112	0.5%
2.83	109	0.5%
Other values (1079)	15035	66.7%

Most occurring characters

Value	Count	Frequency (%)
.	16056	19.6%
	12540	15.3%
2	9600	11.7%
3	8851	10.8%
/	6270	7.6%
4	4585	5.6%
1	4329	5.3%
5	3836	4.7%
7	3622	4.4%
6	3604	4.4%
Other values (4)	8724	10.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	46980	57.3%
Other Punctuation	22326	27.2%
Space Separator	12540	15.3%
Dash Punctuation	171	0.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	9600	20.4%
3	8851	18.8%
4	4585	9.8%
1	4329	9.2%
5	3836	8.2%
7	3622	7.7%
6	3604	7.7%
8	3532	7.5%
9	3361	7.2%
0	1660	3.5%

Other Punctuation

Value	Count	Frequency (%)
.	16056	71.9%
/	6270	28.1%

Space Separator

Value	Count	Frequency (%)
	12540	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	171	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	82017	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	16056	19.6%
	12540	15.3%
2	9600	11.7%
3	8851	10.8%
/	6270	7.6%
4	4585	5.6%
1	4329	5.3%
5	3836	4.7%
7	3622	4.4%
6	3604	4.4%
Other values (4)	8724	10.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	82017	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	16056	19.6%
	12540	15.3%
2	9600	11.7%
3	8851	10.8%
/	6270	7.6%
4	4585	5.6%
1	4329	5.3%
5	3836	4.7%
7	3622	4.4%
6	3604	4.4%
Other values (4)	8724	10.6%

VSTB_CNT
Categorical

IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

1	9302
0	522
2	175
3	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

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

Common Values

Value	Count	Frequency (%)
1	9302	93.0%
0	522	5.2%
2	175	1.8%
3	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	9302	93.0%
0	522	5.2%
2	175	1.8%
3	1	< 0.1%

VSTB_DIMS_CONT
Text

Distinct	1105
Distinct (%)	11.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	18
Median length	4
Mean length	3.875
Min length	1

Characters and Unicode

Total characters	38750
Distinct characters	14
Distinct categories	4 ?
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	492 ?
Unique (%)	4.9%

Sample

1st row	2.95
2nd row	4.35
3rd row	2.68
4th row	1.52
5th row	1.95

Value	Count	Frequency (%)
	699	6.8%
2.04	58	0.6%
2.18	51	0.5%
2.5	50	0.5%
2.12	50	0.5%
2.05	49	0.5%
2.44	49	0.5%
1.84	48	0.5%
2.27	47	0.5%
2.13	47	0.5%
Other values (997)	9206	88.9%

Most occurring characters

Value	Count	Frequency (%)
.	9559	24.7%
2	5450	14.1%
1	5052	13.0%
3	3398	8.8%
4	2541	6.6%
5	2095	5.4%
6	2067	5.3%
7	2024	5.2%
9	1987	5.1%
8	1973	5.1%
Other values (4)	2604	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28138	72.6%
Other Punctuation	9736	25.1%
Dash Punctuation	522	1.3%
Space Separator	354	0.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	5450	19.4%
1	5052	18.0%
3	3398	12.1%
4	2541	9.0%
5	2095	7.4%
6	2067	7.3%
7	2024	7.2%
9	1987	7.1%
8	1973	7.0%
0	1551	5.5%

Other Punctuation

Value	Count	Frequency (%)
.	9559	98.2%
/	177	1.8%

Dash Punctuation

Value	Count	Frequency (%)
-	522	100.0%

Space Separator

Value	Count	Frequency (%)
	354	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	38750	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	9559	24.7%
2	5450	14.1%
1	5052	13.0%
3	3398	8.8%
4	2541	6.6%
5	2095	5.4%
6	2067	5.3%
7	2024	5.2%
9	1987	5.1%
8	1973	5.1%
Other values (4)	2604	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	9559	24.7%
2	5450	14.1%
1	5052	13.0%
3	3398	8.8%
4	2541	6.6%
5	2095	5.4%
6	2067	5.3%
7	2024	5.2%
9	1987	5.1%
8	1973	5.1%
Other values (4)	2604	6.7%

WRHS_CNT
Real number (ℝ)

ZEROS

Distinct	14
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.9939

Minimum	0
Maximum	14
Zeros	2001
Zeros (%)	20.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	14
Range	14
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.6758113
Coefficient of variation (CV)	0.8404691
Kurtosis	1.2691329
Mean	1.9939
Median Absolute Deviation (MAD)	1
Skewness	0.94976356
Sum	19939
Variance	2.8083436
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
1	2619	26.2%
2	2024	20.2%
0	2001	20.0%
3	1502	15.0%
4	999	10.0%
5	566	5.7%
6	179	1.8%
7	62	0.6%
8	26	0.3%
10	9	0.1%
Other values (4)	13	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2001	20.0%
1	2619	26.2%
2	2024	20.2%
3	1502	15.0%
4	999	10.0%
5	566	5.7%
6	179	1.8%
7	62	0.6%
8	26	0.3%
9	8	0.1%

Value	Count	Frequency (%)
14	1	< 0.1%
13	2	< 0.1%
11	2	< 0.1%
10	9	0.1%
9	8	0.1%
8	26	0.3%
7	62	0.6%
6	179	1.8%
5	566	5.7%
4	999	10.0%

WRHS_DIMS_CONT
Text

Distinct	5787
Distinct (%)	57.9%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	96
Median length	85
Mean length	11.5656
Min length	1

Characters and Unicode

Total characters	115656
Distinct characters	14
Distinct categories	4 ?
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	5376 ?
Unique (%)	53.8%

Sample

1st row	1.49 / 1.47 / 1.46 / 1.45
2nd row	4.02 / 2.0
3rd row	2.87 / 2.39 / 1.36 / 1.31
4th row	1.11
5th row	2.3 / 1.2

Value	Count	Frequency (%)
	13941	41.1%
1.34	138	0.4%
1.36	131	0.4%
1.29	128	0.4%
1.28	127	0.4%
1.31	124	0.4%
1.32	123	0.4%
1.38	122	0.4%
1.3	121	0.4%
1.26	119	0.4%
Other values (1027)	18806	55.5%

Most occurring characters

Value	Count	Frequency (%)
	23880	20.6%
.	19909	17.2%
1	12837	11.1%
/	11940	10.3%
2	7231	6.3%
0	6702	5.8%
3	5590	4.8%
4	4845	4.2%
5	4541	3.9%
6	4256	3.7%
Other values (4)	13925	12.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	57926	50.1%
Other Punctuation	31849	27.5%
Space Separator	23880	20.6%
Dash Punctuation	2001	1.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	12837	22.2%
2	7231	12.5%
0	6702	11.6%
3	5590	9.7%
4	4845	8.4%
5	4541	7.8%
6	4256	7.3%
7	4215	7.3%
8	4030	7.0%
9	3679	6.4%

Other Punctuation

Value	Count	Frequency (%)
.	19909	62.5%
/	11940	37.5%

Space Separator

Value	Count	Frequency (%)
	23880	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2001	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	115656	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	23880	20.6%
.	19909	17.2%
1	12837	11.1%
/	11940	10.3%
2	7231	6.3%
0	6702	5.8%
3	5590	4.8%
4	4845	4.2%
5	4541	3.9%
6	4256	3.7%
Other values (4)	13925	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	115656	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	23880	20.6%
.	19909	17.2%
1	12837	11.1%
/	11940	10.3%
2	7231	6.3%
0	6702	5.8%
3	5590	4.8%
4	4845	4.2%
5	4541	3.9%
6	4256	3.7%
Other values (4)	13925	12.0%

UPDATE_QY
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

2204	10000

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2204
2nd row	2204
3rd row	2204
4th row	2204
5th row	2204

Common Values

Value	Count	Frequency (%)
2204	10000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2204	10000	100.0%

Phik (φk)
Auto

Heatmap
Table

	TOTPRK_ECCT	BILD_CMCN_YM	SPL_DIMS	XU_DIMS	RMCT	BALCONY_CNT	TLROM_CNT	VSTB_CNT	WRHS_CNT
TOTPRK_ECCT	1.000	0.000	0.176	0.133	0.171	0.215	0.202	0.000	0.214
BILD_CMCN_YM	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.037	0.042
SPL_DIMS	0.176	0.000	1.000	0.927	0.715	0.393	0.532	0.203	0.408
XU_DIMS	0.133	0.000	0.927	1.000	0.617	0.289	0.327	0.117	0.277
RMCT	0.171	0.000	0.715	0.617	1.000	0.449	0.552	0.169	0.359
BALCONY_CNT	0.215	0.000	0.393	0.289	0.449	1.000	0.464	0.081	0.333
TLROM_CNT	0.202	0.000	0.532	0.327	0.552	0.464	1.000	0.232	0.412
VSTB_CNT	0.000	0.037	0.203	0.117	0.169	0.081	0.232	1.000	0.068
WRHS_CNT	0.214	0.042	0.408	0.277	0.359	0.333	0.412	0.068	1.000

Heatmap
Table

	TOTPRK_ECCT	BILD_CMCN_YM	SPL_DIMS	XU_DIMS	RMCT	BALCONY_CNT	TLROM_CNT	WRHS_CNT	VSTB_CNT
TOTPRK_ECCT	1.000	0.127	0.406	0.415	0.365	0.334	0.375	0.342	0.000
BILD_CMCN_YM	0.127	1.000	-0.062	-0.133	-0.082	-0.113	0.148	0.296	0.024
SPL_DIMS	0.406	-0.062	1.000	0.930	0.657	0.466	0.543	0.433	0.123
XU_DIMS	0.415	-0.133	0.930	1.000	0.738	0.586	0.609	0.450	0.095
RMCT	0.365	-0.082	0.657	0.738	1.000	0.589	0.620	0.409	0.102
BALCONY_CNT	0.334	-0.113	0.466	0.586	0.589	1.000	0.530	0.244	0.052
TLROM_CNT	0.375	0.148	0.543	0.609	0.620	0.530	1.000	0.448	0.151
WRHS_CNT	0.342	0.296	0.433	0.450	0.409	0.244	0.448	1.000	0.043
VSTB_CNT	0.000	0.024	0.123	0.095	0.102	0.052	0.151	0.043	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

	BULD_NM	LNNO_ADRES	RN	TOTPRK_ECCT	CSFM_NM	BILD_CMCN_YM	SPL_DIMS	XU_DIMS	RMCT	ROOM_DIMS_CONT	BALCONY_CNT	BALCONY_DIMS_CONT	TLROM_CNT	TLROM_DIMS_CONT	VSTB_CNT	VSTB_DIMS_CONT	WRHS_CNT	WRHS_DIMS_CONT	UPDATE_QY
1167	래미안 신반포 팰리스	서울특별시 서초구 잠원동 158	서울특별시 서초구 잠원로8길 35	1308.0	삼성물산(주)	201606	113.29	84.46	4	34.85 / 13.45 / 9.37 / 7.96	4	5.05 / 3.92 / 3.45 / 2.95	2	3.02 / 3.0	1	2.95	4	1.49 / 1.47 / 1.46 / 1.45	2204
7104	신내데시앙포레	서울특별시 중랑구 신내동 817	서울특별시 중랑구 신내역로 165	2202.0	(주)태영건설	201312	158.81	114.8	5	60.93 / 14.55 / 11.54 / 11.02 / 5.14	2	4.9 / 2.92	2	4.78 / 4.47	1	4.35	2	4.02 / 2.0	2204
27358	동탄 파크 푸르지오	경기도 화성시 영천동 37-16	경기도 화성시 동탄대로24가길 7	1132.0	(주)대우건설,계룡건설산업(주),대우조선해양건설(주)	201802	98.15	74.76	4	36.69 / 12.65 / 9.33 / 9.06	1	2.29	2	2.8 / 2.55	1	2.68	4	2.87 / 2.39 / 1.36 / 1.31	2204
13179	가락7차현대아파트	서울특별시 송파구 가락동 171-5	서울특별시 송파구 오금로44가길 27	120.0	현대건설(주)	199111	97.89	84.65	4	28.8 / 16.41 / 10.81 / 9.26	2	12.1 / 9.34	2	3.34 / 1.95	1	1.52	1	1.11	2204
41617	사당롯데캐슬골든포레	서울특별시 동작구 사당동 181	서울특별시 동작구 사당로 90	1225.0	롯데건설(주)	202002	112.51	84.98	4	32.37 / 16.26 / 11.57 / 7.23	2	7.77 / 7.71	2	4.02 / 3.04	1	1.95	2	2.3 / 1.2	2204
2084	마천금호아파트	서울특별시 송파구 마천동 304	서울특별시 송파구 마천로57길 16	201.0	금호건설(주)	199805	96.93	73.92	3	39.72 / 16.06 / 9.41	1	10.79	1	3.55	1	2.09	2	1.18 / 0.6	2204
4396	금호리첸시아	서울특별시 용산구 한남동 72-1	서울특별시 용산구 한남대로 60	373.0	금호산업(주)	200404	80.17	60.9	4	26.58 / 16.12 / 11.59 / 9.31	0	-	1	3.39	1	2.31	0	-	2204
1370	창원무동휴먼빌아파트(2단지)	경상남도 창원시 의창구 북면 무동리 122-1	경상남도 창원시 의창구 북면 동곡로 35	352.0	일신건영(주)	201306	113.81	84.99	5	40.79 / 14.19 / 10.27 / 8.22 / 3.5	3	3.68 / 3.63 / 2.41	2	3.51 / 3.29	1	2.83	0	-	2204
42007	유승한내들퍼스트뷰	경기도 평택시 청북읍 옥길리 1153	경기도 평택시 청북읍 안청로4길 53	466.0	(주)유승종합건설	201509	109.96	84.81	5	38.96 / 12.18 / 9.49 / 7.88 / 7.83	1	2.43	2	3.15 / 2.87	1	3.72	5	3.02 / 1.65 / 1.62 / 1.23 / 0.97	2204
497	커낼워크D2 SUMMER	인천광역시 연수구 송도동 19-1	인천광역시 연수구 아트센터대로 131	292.0	(주)포스코건설	200910	172.71	87.43	0	-	0	-	1	96.17	0	-	0	-	2204

	BULD_NM	LNNO_ADRES	RN	TOTPRK_ECCT	CSFM_NM	BILD_CMCN_YM	SPL_DIMS	XU_DIMS	RMCT	ROOM_DIMS_CONT	BALCONY_CNT	BALCONY_DIMS_CONT	TLROM_CNT	TLROM_DIMS_CONT	VSTB_CNT	VSTB_DIMS_CONT	WRHS_CNT	WRHS_DIMS_CONT	UPDATE_QY
12569	강남웅진베어스빌(도시형)	서울특별시 강남구 역삼동 838-10	서울특별시 강남구 도곡로 113	13.0	웅진산업개발주식회사	201907	29.47	20.95	1	18.77	0	-	1	2.76	1	0.98	1	1.16	2204
42116	엘크루블루오션4단지	부산광역시 강서구 명지동 3243	부산광역시 강서구 명지오션시티6로 33	946.0	대우조선해양건설	201205	260.42	219.5	4	90.25 / 53.43 / 12.72 / 9.69	7	7.81 / 7.7 / 7.28 / 5.71 / 5.7 / 3.73 / 3.64	1	8.42	1	8.21	3	10.6 / 4.85 / 1.72	2204
6714	수원아이파크시티3단지	경기도 수원시 권선구 권선동 1359	경기도 수원시 권선구 동수원로145번길 73	1201.0	HDC현대산업개발	201110	111.08	84.76	4	37.2 / 16.86 / 11.02 / 10.96	1	2.66	2	3.76 / 3.37	1	2.23	2	1.7 / 1.49	2204
5582	시흥센트럴푸르지오(오)	경기도 시흥시 대야동 418-21	경기도 시흥시 수인로3312번길 16	250.0	(주)대우건설	202005	110.56	42.56	3	24.28 / 11.99 / 5.19	0	-	1	3.76	1	2.57	2	0.89 / 0.71	2204
11388	채널리저브	서울특별시 강남구 삼성동 144-14	서울특별시 강남구 삼성로 517	52.0	한일건설주식회사	200701	109.1	62.02	2	42.16 / 15.37	0	-	1	3.94	1	2.22	1	1.44	2204
38259	메트로타워예미지(주)	경기도 김포시 구래동 김포한강신도시 Cc-03BL	경기도 김포시 구래동 김포한강신도시 Cc-03BL	982.0	(주)금성백조주택,(주)금성백조건설	202103	123.82	90.87	5	31.32 / 11.33 / 5.9 / 5.71 / 4.96	8	5.27 / 4.83 / 4.71 / 3.29 / 3.13 / 2.59 / 2.37 / 2.29	2	3.35 / 3.29	1	2.11	4	2.36 / 1.57 / 0.93 / 0.75	2204
16527	신양산코아루캠퍼스시티	경상남도 양산시 물금읍 범어리 2775-10	경상남도 양산시 물금읍 부산대학로 144	610.0	상리건설주식회사	201806	94.7	40.22	3	17.56 / 12.32 / 8.22	0	-	1	4.15	1	1.59	1	1.99	2204
35722	해운대 유시티오피스텔	부산광역시 해운대구 우동 587-2	부산광역시 해운대구 중동1로17번길 15-11	192.0	(주)대양산업건설	201808	52.22	29.67	2	19.64 / 8.16	0	-	1	4.27	1	1.86	1	0.56	2204
5774	공덕푸르지오시티	서울특별시 마포구 공덕동 475	서울특별시 마포구 마포대로 156	251.0	(주)대우건설	201305	61.24	31.12	1	24.86	0	-	1	4.68	1	2.38	1	1.38	2204
3099	커낼워크D2 SUMMER	인천광역시 연수구 송도동 19-1	인천광역시 연수구 아트센터대로 131	292.0	(주)포스코건설	200910	141.22	71.5	0	-	1	29.8	1	48.85	0	-	0	-	2204

Most frequently occurring

	BULD_NM	LNNO_ADRES	RN	TOTPRK_ECCT	CSFM_NM	BILD_CMCN_YM	SPL_DIMS	XU_DIMS	RMCT	ROOM_DIMS_CONT	BALCONY_CNT	BALCONY_DIMS_CONT	TLROM_CNT	TLROM_DIMS_CONT	VSTB_CNT	VSTB_DIMS_CONT	WRHS_CNT	WRHS_DIMS_CONT	UPDATE_QY	# duplicates
7	모닝시티1차	세종특별자치시 어진동 664	세종특별자치시 가름로 170-14	179.0	나성산업개발(주)	201506	39.03	30.71	2	15.69 / 15.23	1	1.26	1	1.6	1	0.47	0	-	2204	3
0	가락마을10단지	세종특별자치시 고운동 1400	세종특별자치시 마음로 181	1303.0	(주)라인	201506	95.49	72.49	4	35.14 / 11.33 / 8.55 / 7.64	2	2.56 / 2.47	2	2.92 / 2.87	1	2.8	3	2.28 / 2.08 / 1.9	2204	2
1	도룡하우스디어반	대전광역시 유성구 도룡동 4-9	대전광역시 유성구 엑스포로151번길 19	806.0	대보건설(주)	201911	77.63	35.75	2	21.19 / 0.0	0	-	1	10.58	1	51.08	2	4.24 / 3.32	2204	2
2	래미안어반파크	부산시 부산진구 연지동 250-76번지 일원	부산시 부산진구 연지동	3165.0	삼성물산(주)	202209	175.67	126.91	4	47.77 / 13.22 / 12.99 / 11.45	3	4.05 / 2.84 / 2.01	2	2.8 / 2.77	2	26.91 / 3.54	2	3.25 / 1.56	2204	2
3	롯데캐슬주피터	서울시 서초구 서초동 1359-50	서울특별시 서초구 서운로6길 15-20	288.0	롯데건설	200311	187.99	164.05	6	58.53 / 18.5 / 14.25 / 12.57 / 9.91 / 4.59	4	9.23 / 6.37 / 4.51 / 2.67	2	4.55 / 3.77	1	4.21	1	2.23	2204	2
4	만촌 한화 꿈에그린 아파트	대구광역시 수성구 만촌동 811-49	대구광역시 수성구 교학로7길 77	258.0	(주)한화건설	200602	160.37	119.72	3	42.71 / 16.47 / 14.5	4	6.62 / 3.66 / 3.15 / 2.93	2	4.04 / 2.82	1	3.69	5	9.09 / 7.76 / 7.35 / 6.76 / 3.84	2204	2
5	모닝시티1차	세종특별자치시 어진동 664	세종특별자치시 가름로 170-14	179.0	나성산업개발(주)	201506	26.87	21.14	1	13.79	1	5.63	1	3.83	1	1.68	0	-	2204	2
6	모닝시티1차	세종특별자치시 어진동 664	세종특별자치시 가름로 170-14	179.0	나성산업개발(주)	201506	34.0	26.75	1	22.53	1	3.08	1	3.81	1	2.5	0	-	2204	2
8	문정 오벨리스크	서울특별시 송파구 문정동 652-2	서울특별시 송파구 송파대로 145	247.0	(주)한화건설	201802	55.37	24.27	1	23.43	0	-	1	3.26	1	1.8	0	-	2204	2
9	봉선지웰	광주광역시 남구 봉선동 1089	광주광역시 남구 봉선2로 51-1	195.0	(주)신영그린시스	201509	112.49	84.98	3	30.36 / 22.44 / 5.92	2	6.36 / 5.29	2	7.08 / 6.37	0	-	4	3.44 / 2.33 / 2.04 / 1.84	2204	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Letter Number

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Han

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Number Forms

None

CJK

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Other Punctuation

Lowercase Letter

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

None

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Lowercase Letter

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

Uppercase Letter

Decimal Number

Other Punctuation

Lowercase Letter