gimi9 Pandas Profiling

Dataset statistics

Number of variables	15
Number of observations	2149
Missing cells	13
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	273.0 KiB
Average record size in memory	130.1 B

Variable types

Text	3
Categorical	2
Numeric	10

Dataset

Description	Sample
Author	한국토지주택공사
URL	https://www.bigdata-realestate.kr/rebpp/usr/prd/prdInfoDetail.do?req_productId=9

Alerts

`FRST_APRV_YMD` is highly overall correlated with `CHANGE_APRV_YMD` and 1 other fields	High correlation
`CHANGE_APRV_YMD` is highly overall correlated with `FRST_APRV_YMD`	High correlation
`BSNS_AREA` is highly overall correlated with `PLOT_DIMS` and 3 other fields	High correlation
`PLOT_DIMS` is highly overall correlated with `BSNS_AREA` and 3 other fields	High correlation
`TOAR` is highly overall correlated with `BSNS_AREA` and 2 other fields	High correlation
`STTY_FLARRT_RT` is highly overall correlated with `BSNS_FLARRT_RT`	High correlation
`BSNS_FLARRT_RT` is highly overall correlated with `STTY_FLARRT_RT`	High correlation
`BTLR` is highly overall correlated with `BSNS_AREA` and 1 other fields	High correlation
`NMHSH` is highly overall correlated with `BSNS_AREA` and 2 other fields	High correlation
`BTYP_NM` is highly overall correlated with `FRST_APRV_YMD`	High correlation
`APRV_ODR` has 774 (36.0%) zeros	Zeros

Reproduction

Analysis started	2023-12-11 22:32:39.372355
Analysis finished	2023-12-11 22:32:52.476402
Duration	13.1 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

BSNS_DISTRICT_NM
Text

Distinct	364
Distinct (%)	16.9%
Missing	0
Missing (%)	0.0%
Memory size	16.9 KiB

Length

Max length	21
Median length	17
Mean length	9.9302001
Min length	4

Characters and Unicode

Total characters	21340
Distinct characters	252
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	43 ?
Unique (%)	2.0%

Sample

1st row	광주효천2(05,국민1)
2nd row	김천삼락(행복)
3rd row	대구율하2(02,GB)
4th row	고양삼송
5th row	남양주가운(02,GB)

Value	Count	Frequency (%)
하남미사(09,보금3	53	2.4%
수원호매실(경기03,gb2	44	2.0%
시흥장현(06,택(gb	43	1.9%
하남감일(10,보금1	40	1.8%
의정부민락2(05,gb	37	1.7%
인천서창2(05,택2	36	1.6%
과천지식정보타운	32	1.4%
광주효천2(05,국민1	31	1.4%
고양지축	26	1.2%
성남도촌(02,gb	25	1.1%
Other values (377)	1850	83.4%

Most occurring characters

Value	Count	Frequency (%)
(	1679	7.9%
)	1679	7.9%
0	1028	4.8%
,	1022	4.8%
2	797	3.7%
주	639	3.0%
B	534	2.5%
복	519	2.4%
행	482	2.3%
택	475	2.2%
Other values (242)	12486	58.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	12534	58.7%
Decimal Number	3113	14.6%
Open Punctuation	1679	7.9%
Close Punctuation	1679	7.9%
Uppercase Letter	1164	5.5%
Other Punctuation	1026	4.8%
Space Separator	68	0.3%
Dash Punctuation	62	0.3%
Connector Punctuation	15	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
주	639	5.1%
복	519	4.1%
행	482	3.8%
택	475	3.8%
천	383	3.1%
양	363	2.9%
남	343	2.7%
민	337	2.7%
국	306	2.4%
산	296	2.4%
Other values (215)	8391	66.9%

Decimal Number

Value	Count	Frequency (%)
0	1028	33.0%
2	797	25.6%
5	373	12.0%
1	322	10.3%
9	174	5.6%
3	150	4.8%
6	118	3.8%
4	66	2.1%
7	45	1.4%
8	40	1.3%

Uppercase Letter

Value	Count	Frequency (%)
B	534	45.9%
G	440	37.8%
L	82	7.0%
A	65	5.6%
K	10	0.9%
T	10	0.9%
X	10	0.9%
H	6	0.5%
C	4	0.3%
E	3	0.3%

Other Punctuation

Value	Count	Frequency (%)
,	1022	99.6%
/	4	0.4%

Open Punctuation

Value	Count	Frequency (%)
(	1679	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1679	100.0%

Space Separator

Value	Count	Frequency (%)
	68	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	62	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	12534	58.7%
Common	7642	35.8%
Latin	1164	5.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
주	639	5.1%
복	519	4.1%
행	482	3.8%
택	475	3.8%
천	383	3.1%
양	363	2.9%
남	343	2.7%
민	337	2.7%
국	306	2.4%
산	296	2.4%
Other values (215)	8391	66.9%

Common

Value	Count	Frequency (%)
(	1679	22.0%
)	1679	22.0%
0	1028	13.5%
,	1022	13.4%
2	797	10.4%
5	373	4.9%
1	322	4.2%
9	174	2.3%
3	150	2.0%
6	118	1.5%
Other values (7)	300	3.9%

Latin

Value	Count	Frequency (%)
B	534	45.9%
G	440	37.8%
L	82	7.0%
A	65	5.6%
K	10	0.9%
T	10	0.9%
X	10	0.9%
H	6	0.5%
C	4	0.3%
E	3	0.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	12534	58.7%
ASCII	8806	41.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
(	1679	19.1%
)	1679	19.1%
0	1028	11.7%
,	1022	11.6%
2	797	9.1%
B	534	6.1%
G	440	5.0%
5	373	4.2%
1	322	3.7%
9	174	2.0%
Other values (17)	758	8.6%

Hangul

Value	Count	Frequency (%)
주	639	5.1%
복	519	4.1%
행	482	3.8%
택	475	3.8%
천	383	3.1%
양	363	2.9%
남	343	2.7%
민	337	2.7%
국	306	2.4%
산	296	2.4%
Other values (215)	8391	66.9%

BTYP_NM
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	16.9 KiB

보금자리(전환)	536
행복주택	462
보금자리(국임)	407
공공주택	330
보금자리(GB해제)	244
Other values (3)	170

Length

Max length	12
Median length	10
Mean length	6.8189856
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	보금자리(전환)
2nd row	행복주택
3rd row	보금자리(국임)
4th row	보금자리(국임)
5th row	보금자리(국임)

Common Values

Value	Count	Frequency (%)
보금자리(전환)	536	24.9%
행복주택	462	21.5%
보금자리(국임)	407	18.9%
공공주택	330	15.4%
보금자리(GB해제)	244	11.4%
행복주택(보유)	109	5.1%
공공주택(준공택지)	51	2.4%
지역수요맞춤형 공공주택	10	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
보금자리(전환	536	24.8%
행복주택	462	21.4%
보금자리(국임	407	18.9%
공공주택	340	15.7%
보금자리(gb해제	244	11.3%
행복주택(보유	109	5.0%
공공주택(준공택지	51	2.4%
지역수요맞춤형	10	0.5%

BSNS_DISTRICT_ISE_BLCK_NM
Text

Distinct	164
Distinct (%)	7.6%
Missing	0
Missing (%)	0.0%
Memory size	16.9 KiB

Length

Max length	7
Median length	6
Mean length	2.4583527
Min length	1

Characters and Unicode

Total characters	5283
Distinct characters	31
Distinct categories	7 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	16 ?
Unique (%)	0.7%

Sample

1st row	A-4
2nd row	1
3rd row	A-1
4th row	A23
5th row	B1

Value	Count	Frequency (%)
1	294	13.7%
a-1	170	7.9%
a1	123	5.7%
a-2	107	5.0%
a2	82	3.8%
b-1	81	3.8%
01	80	3.7%
a-3	63	2.9%
a-4	59	2.7%
c-1	48	2.2%
Other values (154)	1042	48.5%

Most occurring characters

Value	Count	Frequency (%)
1	1147	21.7%
A	1043	19.7%
-	1004	19.0%
2	471	8.9%
B	327	6.2%
0	243	4.6%
3	206	3.9%
4	142	2.7%
S	115	2.2%
5	111	2.1%
Other values (21)	474	9.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2534	48.0%
Uppercase Letter	1680	31.8%
Dash Punctuation	1004	19.0%
Other Letter	57	1.1%
Other Punctuation	4	0.1%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1147	45.3%
2	471	18.6%
0	243	9.6%
3	206	8.1%
4	142	5.6%
5	111	4.4%
6	82	3.2%
7	63	2.5%
9	35	1.4%
8	34	1.3%

Other Letter

Value	Count	Frequency (%)
주	15	26.3%
상	10	17.5%
복	8	14.0%
합	8	14.0%
업	4	7.0%
무	4	7.0%
취	2	3.5%
소	2	3.5%
단	2	3.5%
지	2	3.5%

Uppercase Letter

Value	Count	Frequency (%)
A	1043	62.1%
B	327	19.5%
S	115	6.8%
C	80	4.8%
H	61	3.6%
L	51	3.0%
D	3	0.2%

Dash Punctuation

Value	Count	Frequency (%)
-	1004	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3546	67.1%
Latin	1680	31.8%
Hangul	57	1.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1147	32.3%
-	1004	28.3%
2	471	13.3%
0	243	6.9%
3	206	5.8%
4	142	4.0%
5	111	3.1%
6	82	2.3%
7	63	1.8%
9	35	1.0%
Other values (4)	42	1.2%

Hangul

Value	Count	Frequency (%)
주	15	26.3%
상	10	17.5%
복	8	14.0%
합	8	14.0%
업	4	7.0%
무	4	7.0%
취	2	3.5%
소	2	3.5%
단	2	3.5%
지	2	3.5%

Latin

Value	Count	Frequency (%)
A	1043	62.1%
B	327	19.5%
S	115	6.8%
C	80	4.8%
H	61	3.6%
L	51	3.0%
D	3	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5226	98.9%
Hangul	57	1.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1147	21.9%
A	1043	20.0%
-	1004	19.2%
2	471	9.0%
B	327	6.3%
0	243	4.6%
3	206	3.9%
4	142	2.7%
S	115	2.2%
5	111	2.1%
Other values (11)	417	8.0%

Hangul

Value	Count	Frequency (%)
주	15	26.3%
상	10	17.5%
복	8	14.0%
합	8	14.0%
업	4	7.0%
무	4	7.0%
취	2	3.5%
소	2	3.5%
단	2	3.5%
지	2	3.5%

APRV_ODR
Real number (ℝ)

ZEROS

Distinct	10
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2843183

Minimum	0
Maximum	9
Zeros	774
Zeros (%)	36.0%
Negative	0
Negative (%)	0.0%
Memory size	19.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	9
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.3952035
Coefficient of variation (CV)	1.0863378
Kurtosis	2.4365633
Mean	1.2843183
Median Absolute Deviation (MAD)	1
Skewness	1.4043805
Sum	2760
Variance	1.9465929
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	774	36.0%
1	614	28.6%
2	419	19.5%
3	181	8.4%
4	88	4.1%
5	42	2.0%
6	19	0.9%
7	8	0.4%
8	3	0.1%
9	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	774	36.0%
1	614	28.6%
2	419	19.5%
3	181	8.4%
4	88	4.1%
5	42	2.0%
6	19	0.9%
7	8	0.4%
8	3	0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
9	1	< 0.1%
8	3	0.1%
7	8	0.4%
6	19	0.9%
5	42	2.0%
4	88	4.1%
3	181	8.4%
2	419	19.5%
1	614	28.6%
0	774	36.0%

FRST_APRV_YMD
Real number (ℝ)

HIGH CORRELATION

Distinct	288
Distinct (%)	13.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20134888

Minimum	20031128
Maximum	20230713
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	19.0 KiB

Quantile statistics

Minimum	20031128
5-th percentile	20040629
Q1	20081031
median	20151215
Q3	20191217
95-th percentile	20211213
Maximum	20230713
Range	199585
Interquartile range (IQR)	110186

Descriptive statistics

Standard deviation	58318.245
Coefficient of variation (CV)	0.0028963779
Kurtosis	-1.3696314
Mean	20134888
Median Absolute Deviation (MAD)	49985
Skewness	-0.26815671
Sum	4.3269875 × 10¹⁰
Variance	3.4010177 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20181231	91	4.2%
20191227	77	3.6%
20191226	73	3.4%
20101230	48	2.2%
20091222	48	2.2%
20091228	41	1.9%
20201231	31	1.4%
20171222	31	1.4%
20211231	30	1.4%
20160630	28	1.3%
Other values (278)	1651	76.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20031128	7	0.3%
20031211	22	1.0%
20031213	21	1.0%
20031215	2	0.1%
20031226	7	0.3%
20031229	4	0.2%
20031230	20	0.9%
20031231	5	0.2%
20040605	9	0.4%
20040629	12	0.6%

Value	Count	Frequency (%)
20230713	2	0.1%
20230614	1	< 0.1%
20230608	1	< 0.1%
20230314	1	< 0.1%
20230131	1	< 0.1%
20230112	1	< 0.1%
20221231	1	< 0.1%
20221230	2	0.1%
20221229	4	0.2%
20221228	5	0.2%

CHANGE_APRV_YMD
Real number (ℝ)

HIGH CORRELATION

Distinct	838
Distinct (%)	39.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20152515

Minimum	20031128
Maximum	20231231
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	19.0 KiB

Quantile statistics

Minimum	20031128
5-th percentile	20060831
Q1	20101230
median	20170303
Q3	20201023
95-th percentile	20220930
Maximum	20231231
Range	200103
Interquartile range (IQR)	99793

Descriptive statistics

Standard deviation	54523.824
Coefficient of variation (CV)	0.0027055593
Kurtosis	-0.95992479
Mean	20152515
Median Absolute Deviation (MAD)	40090
Skewness	-0.51486171
Sum	4.3307755 × 10¹⁰
Variance	2.9728474 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20211231	53	2.5%
20191226	43	2.0%
20101230	33	1.5%
20181231	33	1.5%
20191227	28	1.3%
20201224	24	1.1%
20201231	22	1.0%
20091222	17	0.8%
20201223	16	0.7%
20091228	16	0.7%
Other values (828)	1864	86.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20031128	4	0.2%
20031211	12	0.6%
20031213	7	0.3%
20031215	1	< 0.1%
20031226	2	0.1%
20031229	2	0.1%
20031230	8	0.4%
20031231	4	0.2%
20040605	3	0.1%
20040629	4	0.2%

Value	Count	Frequency (%)
20231231	1	< 0.1%
20230922	1	< 0.1%
20230814	1	< 0.1%
20230811	1	< 0.1%
20230727	1	< 0.1%
20230713	4	0.2%
20230705	1	< 0.1%
20230704	1	< 0.1%
20230622	1	< 0.1%
20230621	1	< 0.1%

BSNS_APRGP_NM
Categorical

Distinct	39
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	16.9 KiB

국토교통부장관	737
국토교통부	476
국토해양부장관	297
경기도지사	214
국토교통부 장관	92
Other values (34)	333

Length

Max length	14
Median length	13
Mean length	6.2415077
Min length	1

Unique

Unique	15 ?
Unique (%)	0.7%

Sample

1st row	국토교통부장관
2nd row	국토교통부 장관
3rd row	대구광역시장
4th row	경기도지사
5th row	경기도지사

Common Values

Value	Count	Frequency (%)
국토교통부장관	737	34.3%
국토교통부	476	22.1%
국토해양부장관	297	13.8%
경기도지사	214	10.0%
국토교통부 장관	92	4.3%
국토부장관	75	3.5%
국토해양부	44	2.0%
국토해양부 장관	39	1.8%
국토부	34	1.6%
건설교통부장관	26	1.2%
Other values (29)	115	5.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
국토교통부장관	737	32.1%
국토교통부	569	24.8%
국토해양부장관	297	12.9%
경기도지사	214	9.3%
장관	131	5.7%
국토해양부	83	3.6%
국토부장관	75	3.3%
국토부	34	1.5%
건설교통부장관	26	1.1%
대구광역시장	20	0.9%
Other values (31)	108	4.7%

CTPR_NM
Text

Distinct	178
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Memory size	16.9 KiB

Length

Max length	14
Median length	12
Mean length	8.6286645
Min length	5

Characters and Unicode

Total characters	18543
Distinct characters	132
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	14 ?
Unique (%)	0.7%

Sample

1st row	광주광역시 남구
2nd row	경상북도 김천시
3rd row	대구광역시 동구
4th row	경기도 고양시 덕양구
5th row	경기도 남양주시

Value	Count	Frequency (%)
경기도	1103	23.6%
경상남도	116	2.5%
고양시	114	2.4%
서울특별시	103	2.2%
성남시	97	2.1%
덕양구	95	2.0%
인천광역시	95	2.0%
하남시	95	2.0%
남양주시	94	2.0%
강원특별자치도	92	2.0%
Other values (173)	2672	57.1%

Most occurring characters

Value	Count	Frequency (%)
	2581	13.9%
시	2102	11.3%
도	1645	8.9%
경	1298	7.0%
기	1126	6.1%
구	989	5.3%
남	668	3.6%
광	544	2.9%
역	404	2.2%
양	392	2.1%
Other values (122)	6794	36.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	15962	86.1%
Space Separator	2581	13.9%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	2102	13.2%
도	1645	10.3%
경	1298	8.1%
기	1126	7.1%
구	989	6.2%
남	668	4.2%
광	544	3.4%
역	404	2.5%
양	392	2.5%
주	366	2.3%
Other values (121)	6428	40.3%

Space Separator

Value	Count	Frequency (%)
	2581	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	15962	86.1%
Common	2581	13.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	2102	13.2%
도	1645	10.3%
경	1298	8.1%
기	1126	7.1%
구	989	6.2%
남	668	4.2%
광	544	3.4%
역	404	2.5%
양	392	2.5%
주	366	2.3%
Other values (121)	6428	40.3%

Common

Value	Count	Frequency (%)
	2581	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	15962	86.1%
ASCII	2581	13.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2581	100.0%

Hangul

Value	Count	Frequency (%)
시	2102	13.2%
도	1645	10.3%
경	1298	8.1%
기	1126	7.1%
구	989	6.2%
남	668	4.2%
광	544	3.4%
역	404	2.5%
양	392	2.5%
주	366	2.3%
Other values (121)	6428	40.3%

BSNS_AREA
Real number (ℝ)

HIGH CORRELATION

Distinct	1155
Distinct (%)	53.9%
Missing	7
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	25563.528

Minimum	0
Maximum	104558
Zeros	4
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	19.0 KiB

Quantile statistics

Minimum	0
5-th percentile	2269.0655
Q1	10912.35
median	23058.3
Q3	36858.75
95-th percentile	59703.38
Maximum	104558
Range	104558
Interquartile range (IQR)	25946.4

Descriptive statistics

Standard deviation	18146.207
Coefficient of variation (CV)	0.70984752
Kurtosis	0.47877193
Mean	25563.528
Median Absolute Deviation (MAD)	13262.7
Skewness	0.79100066
Sum	54757078
Variance	3.2928484 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59835.1	10	0.5%
25152.0	9	0.4%
8932.36	8	0.4%
25937.0	8	0.4%
33284.0	7	0.3%
21409.0	7	0.3%
36605.4	7	0.3%
21910.0	6	0.3%
4900.0	6	0.3%
28131.8	6	0.3%
Other values (1145)	2068	96.2%
(Missing)	7	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	4	0.2%
293.2	3	0.1%
332.5	2	0.1%
645.9	1	< 0.1%
738.4	1	< 0.1%
790.5	2	0.1%
813.6	1	< 0.1%
844.0	3	0.1%
878.0	3	0.1%
904.0	1	< 0.1%

Value	Count	Frequency (%)
104558.0	2	0.1%
104555.0	1	< 0.1%
104533.0	1	< 0.1%
101116.6	1	< 0.1%
93008.0	1	< 0.1%
82827.0	2	0.1%
81994.0	1	< 0.1%
81034.0	2	0.1%
80982.0	2	0.1%
79440.0	1	< 0.1%

PLOT_DIMS
Real number (ℝ)

HIGH CORRELATION

Distinct	1151
Distinct (%)	53.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25401.637

Minimum	0
Maximum	104558
Zeros	4
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	19.0 KiB

Quantile statistics

Minimum	0
5-th percentile	2261.4
Q1	10604
median	23021.7
Q3	36652
95-th percentile	59000
Maximum	104558
Range	104558
Interquartile range (IQR)	26048

Descriptive statistics

Standard deviation	18058.39
Coefficient of variation (CV)	0.71091443
Kurtosis	0.34885138
Mean	25401.637
Median Absolute Deviation (MAD)	13219.7
Skewness	0.76239529
Sum	54588118
Variance	3.2610546 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59835.1	10	0.5%
25152.0	9	0.4%
8932.36	8	0.4%
36605.4	7	0.3%
33284.0	7	0.3%
15333.6	7	0.3%
21409.0	7	0.3%
4900.0	6	0.3%
21910.0	6	0.3%
18308.0	6	0.3%
Other values (1141)	2076	96.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	4	0.2%
293.2	3	0.1%
332.5	3	0.1%
645.9	1	< 0.1%
738.4	1	< 0.1%
790.5	2	0.1%
813.6	1	< 0.1%
844.0	3	0.1%
855.62	1	< 0.1%
864.65	1	< 0.1%

Value	Count	Frequency (%)
104558.0	1	< 0.1%
104555.0	2	0.1%
104533.0	1	< 0.1%
82827.0	2	0.1%
81994.0	1	< 0.1%
81034.0	2	0.1%
80982.0	2	0.1%
79440.0	1	< 0.1%
79427.5	1	< 0.1%
78248.0	1	< 0.1%

TOAR
Real number (ℝ)

HIGH CORRELATION

Distinct	1602
Distinct (%)	74.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	61295.733

Minimum	0
Maximum	235323.27
Zeros	4
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	19.0 KiB

Quantile statistics

Minimum	0
5-th percentile	5510.08
Q1	25271.42
median	53558.04
Q3	84891.278
95-th percentile	156903.4
Maximum	235323.27
Range	235323.27
Interquartile range (IQR)	59619.858

Descriptive statistics

Standard deviation	46115.069
Coefficient of variation (CV)	0.75233734
Kurtosis	0.88922782
Mean	61295.733
Median Absolute Deviation (MAD)	29543.47
Skewness	1.0020036
Sum	1.3172453 × 10⁸
Variance	2.1265996 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50015.85	9	0.4%
61559.45	6	0.3%
113480.69	6	0.3%
156932.45	6	0.3%
99640.38	5	0.2%
22770.36	5	0.2%
35173.23	5	0.2%
26042.24	5	0.2%
65593.7	5	0.2%
18650.44	5	0.2%
Other values (1592)	2092	97.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	4	0.2%
566.47	2	0.1%
574.62	1	< 0.1%
673.22	1	< 0.1%
675.97	2	0.1%
874.57	1	< 0.1%
875.68	1	< 0.1%
911.14	1	< 0.1%
993.87	2	0.1%
1093.14	1	< 0.1%

Value	Count	Frequency (%)
235323.27	1	< 0.1%
230680.92	1	< 0.1%
230519.02	1	< 0.1%
227716.81	1	< 0.1%
227523.68	2	0.1%
227507.3	1	< 0.1%
227492.96	1	< 0.1%
225188.94	1	< 0.1%
224854.11	1	< 0.1%
224380.13	1	< 0.1%

STTY_FLARRT_RT
Real number (ℝ)

HIGH CORRELATION

Distinct	1503
Distinct (%)	70.0%
Missing	2
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	183.49313

Minimum	-180.61
Maximum	725.52
Zeros	1
Zeros (%)	< 0.1%
Negative	2
Negative (%)	0.1%
Memory size	19.0 KiB

Quantile statistics

Minimum	-180.61
5-th percentile	112.432
Q1	150.68
median	172.49
Q3	197.915
95-th percentile	295.692
Maximum	725.52
Range	906.13
Interquartile range (IQR)	47.235

Descriptive statistics

Standard deviation	69.048333
Coefficient of variation (CV)	0.37629929
Kurtosis	16.81072
Mean	183.49313
Median Absolute Deviation (MAD)	22.89
Skewness	3.110255
Sum	393959.74
Variance	4767.6723
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
189.6	13	0.6%
199.14	9	0.4%
220.0	7	0.3%
188.85	7	0.3%
149.5	7	0.3%
179.99	7	0.3%
191.43	6	0.3%
308.06	6	0.3%
134.31	5	0.2%
169.31	5	0.2%
Other values (1493)	2075	96.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-180.61	1	< 0.1%
-171.47	1	< 0.1%
0.0	1	< 0.1%
54.43	1	< 0.1%
58.67	1	< 0.1%
61.0	1	< 0.1%
61.12	1	< 0.1%
61.52	1	< 0.1%
61.71	1	< 0.1%
61.99	3	0.1%

Value	Count	Frequency (%)
725.52	4	0.2%
632.18	1	< 0.1%
606.32	1	< 0.1%
605.82	3	0.1%
585.65	1	< 0.1%
573.04	1	< 0.1%
547.07	2	0.1%
543.83	2	0.1%
534.59	1	< 0.1%
534.58	1	< 0.1%

BSNS_FLARRT_RT
Real number (ℝ)

HIGH CORRELATION

Distinct	1573
Distinct (%)	73.3%
Missing	2
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	187.20824

Minimum	0
Maximum	858.54
Zeros	6
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	19.0 KiB

Quantile statistics

Minimum	0
5-th percentile	113.946
Q1	153.015
median	174.28
Q3	199.89
95-th percentile	305.294
Maximum	858.54
Range	858.54
Interquartile range (IQR)	46.875

Descriptive statistics

Standard deviation	74.797556
Coefficient of variation (CV)	0.399542
Kurtosis	20.315266
Mean	187.20824
Median Absolute Deviation (MAD)	23.4
Skewness	3.6217735
Sum	401936.1
Variance	5594.6743
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
200.42	9	0.4%
189.58	7	0.3%
221.49	6	0.3%
218.74	6	0.3%
193.84	6	0.3%
0.0	6	0.3%
142.85	5	0.2%
135.26	5	0.2%
354.42	5	0.2%
191.93	5	0.2%
Other values (1563)	2087	97.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	6	0.3%
51.3	1	< 0.1%
54.43	1	< 0.1%
58.67	1	< 0.1%
68.38	1	< 0.1%
69.35	3	0.1%
69.93	1	< 0.1%
70.98	1	< 0.1%
72.98	1	< 0.1%
74.54	1	< 0.1%

Value	Count	Frequency (%)
858.54	2	0.1%
837.81	1	< 0.1%
837.66	1	< 0.1%
699.41	1	< 0.1%
687.88	1	< 0.1%
647.53	1	< 0.1%
638.39	1	< 0.1%
628.39	1	< 0.1%
573.03	1	< 0.1%
570.66	3	0.1%

BTLR
Real number (ℝ)

HIGH CORRELATION

Distinct	1113
Distinct (%)	51.8%
Missing	2
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	24.208361

Minimum	9.85
Maximum	238.61
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	19.0 KiB

Quantile statistics

Minimum	9.85
5-th percentile	13.48
Q1	16.485
median	19.33
Q3	24.45
95-th percentile	59.931
Maximum	238.61
Range	228.76
Interquartile range (IQR)	7.965

Descriptive statistics

Standard deviation	14.728846
Coefficient of variation (CV)	0.60841982
Kurtosis	24.314298
Mean	24.208361
Median Absolute Deviation (MAD)	3.51
Skewness	3.3997364
Sum	51975.35
Variance	216.93892
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25.62	9	0.4%
17.81	8	0.4%
21.03	8	0.4%
16.34	8	0.4%
18.55	8	0.4%
15.45	7	0.3%
19.17	7	0.3%
16.48	7	0.3%
79.03	7	0.3%
14.76	7	0.3%
Other values (1103)	2071	96.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9.85	1	< 0.1%
10.03	1	< 0.1%
10.04	1	< 0.1%
10.15	1	< 0.1%
10.18	1	< 0.1%
10.34	1	< 0.1%
10.35	1	< 0.1%
10.37	1	< 0.1%
10.45	1	< 0.1%
10.48	2	0.1%

Value	Count	Frequency (%)
238.61	1	< 0.1%
79.99	1	< 0.1%
79.98	1	< 0.1%
79.9	1	< 0.1%
79.89	1	< 0.1%
79.73	3	0.1%
79.66	1	< 0.1%
79.19	1	< 0.1%
79.09	2	0.1%
79.03	7	0.3%

NMHSH
Real number (ℝ)

HIGH CORRELATION

Distinct	649
Distinct (%)	30.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	605.17264

Minimum	0
Maximum	2742
Zeros	10
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	19.0 KiB

Quantile statistics

Minimum	0
5-th percentile	80
Q1	312
median	538
Q3	834
95-th percentile	1400.6
Maximum	2742
Range	2742
Interquartile range (IQR)	522

Descriptive statistics

Standard deviation	402.56144
Coefficient of variation (CV)	0.66520099
Kurtosis	1.0091138
Mean	605.17264
Median Absolute Deviation (MAD)	266
Skewness	0.89724608
Sum	1300516
Variance	162055.71
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
200	42	2.0%
100	35	1.6%
120	30	1.4%
150	24	1.1%
450	20	0.9%
400	19	0.9%
500	16	0.7%
800	16	0.7%
80	16	0.7%
140	15	0.7%
Other values (639)	1916	89.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	10	0.5%
14	3	0.1%
16	5	0.2%
17	1	< 0.1%
20	3	0.1%
21	2	0.1%
22	2	0.1%
23	2	0.1%
24	4	0.2%
26	1	< 0.1%

Value	Count	Frequency (%)
2742	1	< 0.1%
2540	1	< 0.1%
2350	1	< 0.1%
2200	1	< 0.1%
2186	2	0.1%
2180	2	0.1%
2135	1	< 0.1%
1986	1	< 0.1%
1894	1	< 0.1%
1812	3	0.1%

Heatmap
Table

	BTYP_NM	APRV_ODR	FRST_APRV_YMD	CHANGE_APRV_YMD	BSNS_APRGP_NM	BSNS_AREA	PLOT_DIMS	TOAR	STTY_FLARRT_RT	BSNS_FLARRT_RT	BTLR	NMHSH
BTYP_NM	1.000	0.130	0.785	0.665	0.715	0.555	0.547	0.553	0.467	0.458	0.424	0.497
APRV_ODR	0.130	1.000	0.257	0.250	0.114	0.233	0.000	0.105	0.000	0.079	0.062	0.000
FRST_APRV_YMD	0.785	0.257	1.000	0.931	0.777	0.633	0.501	0.627	0.510	0.479	0.423	0.503
CHANGE_APRV_YMD	0.665	0.250	0.931	1.000	0.757	0.534	0.411	0.518	0.396	0.379	0.322	0.375
BSNS_APRGP_NM	0.715	0.114	0.777	0.757	1.000	0.545	0.545	0.524	0.225	0.306	0.314	0.355
BSNS_AREA	0.555	0.233	0.633	0.534	0.545	1.000	0.992	0.914	0.412	0.418	0.620	0.854
PLOT_DIMS	0.547	0.000	0.501	0.411	0.545	0.992	1.000	0.825	0.318	0.314	0.479	0.746
TOAR	0.553	0.105	0.627	0.518	0.524	0.914	0.825	1.000	0.409	0.385	0.505	0.870
STTY_FLARRT_RT	0.467	0.000	0.510	0.396	0.225	0.412	0.318	0.409	1.000	0.961	0.729	0.364
BSNS_FLARRT_RT	0.458	0.079	0.479	0.379	0.306	0.418	0.314	0.385	0.961	1.000	0.761	0.334
BTLR	0.424	0.062	0.423	0.322	0.314	0.620	0.479	0.505	0.729	0.761	1.000	0.500
NMHSH	0.497	0.000	0.503	0.375	0.355	0.854	0.746	0.870	0.364	0.334	0.500	1.000

Heatmap
Table

	BTYP_NM	BSNS_APRGP_NM
BTYP_NM	1.000	0.367
BSNS_APRGP_NM	0.367	1.000

Heatmap
Table

	APRV_ODR	FRST_APRV_YMD	CHANGE_APRV_YMD	BSNS_AREA	PLOT_DIMS	TOAR	STTY_FLARRT_RT	BSNS_FLARRT_RT	BTLR	NMHSH	BTYP_NM	BSNS_APRGP_NM
APRV_ODR	1.000	-0.101	0.135	0.038	0.032	0.050	0.040	0.052	-0.045	0.063	0.062	0.039
FRST_APRV_YMD	-0.101	1.000	0.927	-0.450	-0.446	-0.307	0.211	0.221	0.366	-0.295	0.529	0.400
CHANGE_APRV_YMD	0.135	0.927	1.000	-0.437	-0.434	-0.301	0.193	0.202	0.317	-0.268	0.396	0.380
BSNS_AREA	0.038	-0.450	-0.437	1.000	0.996	0.939	-0.036	-0.025	-0.508	0.860	0.305	0.221
PLOT_DIMS	0.032	-0.446	-0.434	0.996	1.000	0.942	-0.037	-0.029	-0.509	0.864	0.306	0.231
TOAR	0.050	-0.307	-0.301	0.939	0.942	1.000	0.228	0.236	-0.357	0.863	0.303	0.209
STTY_FLARRT_RT	0.040	0.211	0.193	-0.036	-0.037	0.228	1.000	0.975	0.338	0.129	0.245	0.080
BSNS_FLARRT_RT	0.052	0.221	0.202	-0.025	-0.029	0.236	0.975	1.000	0.343	0.139	0.239	0.110
BTLR	-0.045	0.366	0.317	-0.508	-0.509	-0.357	0.338	0.343	1.000	-0.451	0.277	0.151
NMHSH	0.063	-0.295	-0.268	0.860	0.864	0.863	0.129	0.139	-0.451	1.000	0.264	0.130
BTYP_NM	0.062	0.529	0.396	0.305	0.306	0.303	0.245	0.239	0.277	0.264	1.000	0.367
BSNS_APRGP_NM	0.039	0.400	0.380	0.221	0.231	0.209	0.080	0.110	0.151	0.130	0.367	1.000

A simple visualization of nullity by column.

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

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

First rows
Last rows

	BSNS_DISTRICT_NM	BTYP_NM	BSNS_DISTRICT_ISE_BLCK_NM	APRV_ODR	FRST_APRV_YMD	CHANGE_APRV_YMD	BSNS_APRGP_NM	CTPR_NM	BSNS_AREA	PLOT_DIMS	TOAR	STTY_FLARRT_RT	BSNS_FLARRT_RT	BTLR	NMHSH
0	광주효천2(05,국민1)	보금자리(전환)	A-4	3	20141128	20151006	국토교통부장관	광주광역시 남구	21410.7	21410.7	54833.44	187.85	191.41	17.81	902
1	김천삼락(행복)	행복주택	1	0	20151224	20151224	국토교통부 장관	경상북도 김천시	10585.0	10585.0	21846.67	162.93	161.43	20.88	410
2	대구율하2(02,GB)	보금자리(국임)	A-1	0	20031231	20031231	대구광역시장	대구광역시 동구	36521.0	36521.0	68081.984	161.44	160.55	15.93	860
3	고양삼송	보금자리(국임)	A23	0	20120119	20120119	경기도지사	경기도 고양시 덕양구	3173.1	3173.1	5662.86	123.61	123.61	22.59	40
4	남양주가운(02,GB)	보금자리(국임)	B1	2	20040605	20080627	경기도지사	경기도 남양주시	12513.4	12513.4	24899.16	162.54	161.85	15.23	189
5	부천여월(02,GB)	보금자리(국임)	A-2	1	20031229	20061231	경기도지사	경기도 부천시 오정구	35468.0	35468.0	66394.501	147.22	148.89	15.77	781
6	의왕청계(02,GB)	보금자리(국임)	A-2	1	20031211	20070215	경기도지사	경기도 의왕시	13636.8	13636.8	18006.58	110.0	109.99	15.58	244
7	대구옥포(05,국민1)	보금자리(전환)	A-2	2	20051223	20130121	국토해양부 장관	대구광역시	49002.0	49002.0	93102.47	152.85	155.68	16.01	1366
8	과천지식정보타운	보금자리(GB해제)	S-9	0	20121228	20121228	국토해양부장관	경기도 과천시	26570.0	26570.0	63760.94	176.56	180.18	18.18	454
9	안산신길(02,GB)	보금자리(국임)	1	2	20031230	20070212	경기도지사	경기도 안산시	35565.0	35565.0	71436.634	159.11	157.98	13.96	882

	BSNS_DISTRICT_NM	BTYP_NM	BSNS_DISTRICT_ISE_BLCK_NM	APRV_ODR	FRST_APRV_YMD	CHANGE_APRV_YMD	BSNS_APRGP_NM	CTPR_NM	BSNS_AREA	PLOT_DIMS	TOAR	STTY_FLARRT_RT	BSNS_FLARRT_RT	BTLR	NMHSH
2139	남양주진접2	공공주택	A-8	0	20200108	20200108	국토교통부장관	경기도 남양주시	18636.0	18636.0	54316.05	214.67	219.1	22.96	800
2140	성남복정1	공공주택	A2	3	20201231	20211231	국토교통부장관	경기도 성남시 수정구	16881.0	16881.0	54469.8	186.03	188.25	23.13	387
2141	과천지식정보타운	보금자리(GB해제)	S-3	5	20191227	20220609	국토교통부장관	경기도 과천시	21910.0	21910.0	77935.02	220.35	233.89	22.84	547
2142	세종조치원역	행복주택	1BL	3	20191226	20221013	국토교통부	세종특별자치시	4494.0	4494.0	12392.43	214.65	242.83	65.01	151
2143	천안부성	행복주택	A-1	3	20180703	20220411	국토교통부장관	충청남도 천안시 서북구	16500.0	16500.0	48528.63	228.47	232.68	21.01	730
2144	부천영상(행복주택)	행복주택	1	3	20171222	20221201	국토교통부	경기도 부천시	9612.9	9612.9	79290.66	605.82	570.66	53.29	850
2145	화성향남2 도시지원시설	행복주택	1-2BL	1	20201212	20230531	국토교통부	경기도 화성시	19797.5	19797.5	31015.43	126.38	127.26	19.41	445
2146	경산대임	공공주택	A3	0	20221228	20221228	국토교통부	경상북도 경산시	25140.0	25140.0	55310.8	169.76	171.35	17.3	678
2147	성남여수(06)	보금자리(전환)	C-1	0	20071205	20071205	경기도지사	경기도 성남시 중원구	36605.4	36605.4	95112.99	<NA>	<NA>	<NA>	456
2148	광주진월(02,택GB)	보금자리(국임)	B-2	0	20061115	20061115	광주광역시남구청장	광주광역시 남구	38535.0	38535.0	80541.745	<NA>	<NA>	<NA>	530

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Other Punctuation

Open Punctuation

Close Punctuation

Space Separator

Dash Punctuation

Connector Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Letter

Uppercase Letter

Dash Punctuation

Other Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Common

Hangul

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

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

ASCII

Hangul

Interactions

Correlations

Missing values

Sample