gimi9 Pandas Profiling

Dataset statistics

Number of variables	17
Number of observations	10000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.5 MiB
Average record size in memory	155.0 B

Variable types

Numeric	9
Categorical	6
Text	2

Dataset

Description	Sample
Author	리파인
URL	https://www.bigdata-realestate.kr/rebpp/usr/prd/prdInfoDetail.do?req_productId=179

Alerts

`SIDO_NM` is highly overall correlated with `DTCHDHS_MTHT_CONV_RT_INFO_NO` and 3 other fields	High correlation
`TNSHP_NM` is highly overall correlated with `DTCHDHS_MTHT_CONV_RT_INFO_NO` and 3 other fields	High correlation
`DTCHDHS_MTHT_CONV_RT_INFO_NO` is highly overall correlated with `AVE_LFSTS_PC_MINM_AMT` and 3 other fields	High correlation
`BILDNG_YR` is highly overall correlated with `TNSHP_NM`	High correlation
`AVE_LFSTS_PC_MINM_AMT` is highly overall correlated with `DTCHDHS_MTHT_CONV_RT_INFO_NO` and 2 other fields	High correlation
`AVE_LFSTS_PC_MAX_AMT` is highly overall correlated with `DTCHDHS_MTHT_CONV_RT_INFO_NO` and 2 other fields	High correlation
`MTHT_CONV_RT_MINM_VL` is highly overall correlated with `MTHT_CONV_RT_MAX_VL`	High correlation
`MTHT_CONV_RT_MAX_VL` is highly overall correlated with `MTHT_CONV_RT_MINM_VL` and 1 other fields	High correlation
`TNSHP_NM` is highly imbalanced (63.8%)	Imbalance
`BILDNG_YR` is highly skewed (γ1 = 94.69825666)	Skewed
`MTHT_CONV_RT_MINM_VL` is highly skewed (γ1 = -75.45644364)	Skewed
`MTHT_CONV_RT_MAX_VL` is highly skewed (γ1 = -91.89690694)	Skewed
`DTCHDHS_MTHT_CONV_RT_INFO_NO` has unique values	Unique

Reproduction

Analysis started	2023-12-11 22:30:23.169886
Analysis finished	2023-12-11 22:30:32.954137
Duration	9.78 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

DTCHDHS_MTHT_CONV_RT_INFO_NO
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25828.072

Minimum	4
Maximum	51855
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	4
5-th percentile	2717.8
Q1	12916.25
median	25690
Q3	38787.75
95-th percentile	49275.15
Maximum	51855
Range	51851
Interquartile range (IQR)	25871.5

Descriptive statistics

Standard deviation	14947.278
Coefficient of variation (CV)	0.57872217
Kurtosis	-1.2008303
Mean	25828.072
Median Absolute Deviation (MAD)	12926
Skewness	0.013951303
Sum	2.5828072 × 10⁸
Variance	2.2342112 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15105	1	< 0.1%
78	1	< 0.1%
41830	1	< 0.1%
12724	1	< 0.1%
32105	1	< 0.1%
18675	1	< 0.1%
46939	1	< 0.1%
30962	1	< 0.1%
48163	1	< 0.1%
4525	1	< 0.1%
Other values (9990)	9990	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
15	1	< 0.1%
16	1	< 0.1%
19	1	< 0.1%
24	1	< 0.1%
29	1	< 0.1%
39	1	< 0.1%
41	1	< 0.1%
42	1	< 0.1%

Value	Count	Frequency (%)
51855	1	< 0.1%
51854	1	< 0.1%
51847	1	< 0.1%
51846	1	< 0.1%
51843	1	< 0.1%
51834	1	< 0.1%
51828	1	< 0.1%
51820	1	< 0.1%
51818	1	< 0.1%
51817	1	< 0.1%

SIDO_NM
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

서울특별시	5430
경기도	4164
인천광역시	406

Length

Max length	5
Median length	5
Mean length	4.1672
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
서울특별시	5430	54.3%
경기도	4164	41.6%
인천광역시	406	4.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
서울특별시	5430	54.3%
경기도	4164	41.6%
인천광역시	406	4.1%

SIGNGU_NM
Text

Distinct	65
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	4
Median length	3
Mean length	3.0749
Min length	2

Characters and Unicode

Total characters	30749
Distinct characters	66
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	1 ?
Unique (%)	< 0.1%

Sample

1st row	동작구
2nd row	하남시
3rd row	안산시
4th row	안양시
5th row	수원시

Value	Count	Frequency (%)
관악구	751	7.5%
성남시	539	5.4%
수원시	485	4.9%
광진구	425	4.2%
동작구	403	4.0%
평택시	354	3.5%
용인시	310	3.1%
안산시	297	3.0%
동대문구	275	2.8%
중랑구	271	2.7%
Other values (55)	5890	58.9%

Most occurring characters

Value	Count	Frequency (%)
구	6073	19.8%
시	4208	13.7%
성	1224	4.0%
동	1138	3.7%
남	1037	3.4%
관	751	2.4%
악	751	2.4%
강	740	2.4%
양	712	2.3%
광	701	2.3%
Other values (56)	13414	43.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	30749	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
구	6073	19.8%
시	4208	13.7%
성	1224	4.0%
동	1138	3.7%
남	1037	3.4%
관	751	2.4%
악	751	2.4%
강	740	2.4%
양	712	2.3%
광	701	2.3%
Other values (56)	13414	43.6%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	30749	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
구	6073	19.8%
시	4208	13.7%
성	1224	4.0%
동	1138	3.7%
남	1037	3.4%
관	751	2.4%
악	751	2.4%
강	740	2.4%
양	712	2.3%
광	701	2.3%
Other values (56)	13414	43.6%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	30749	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
구	6073	19.8%
시	4208	13.7%
성	1224	4.0%
동	1138	3.7%
남	1037	3.4%
관	751	2.4%
악	751	2.4%
강	740	2.4%
양	712	2.3%
광	701	2.3%
Other values (56)	13414	43.6%

TNSHP_NM
Categorical

HIGH CORRELATION IMBALANCE

Distinct	18
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

<NA>	8012
수정구	225
상록구	173
분당구	165
중원구	149
Other values (13)	1276

Length

Max length	4
Median length	4
Mean length	3.8135
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	단원구
4th row	만안구
5th row	권선구

Common Values

Value	Count	Frequency (%)
<NA>	8012	80.1%
수정구	225	2.2%
상록구	173	1.7%
분당구	165	1.7%
중원구	149	1.5%
영통구	139	1.4%
기흥구	132	1.3%
장안구	125	1.2%
단원구	124	1.2%
권선구	121	1.2%
Other values (8)	635	6.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	8012	80.1%
수정구	225	2.2%
상록구	173	1.7%
분당구	165	1.7%
중원구	149	1.5%
영통구	139	1.4%
기흥구	132	1.3%
장안구	125	1.2%
단원구	124	1.2%
권선구	121	1.2%
Other values (8)	635	6.3%

EMD_NM
Text

Distinct	727
Distinct (%)	7.3%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	6
Median length	3
Mean length	3.0769
Min length	2

Characters and Unicode

Total characters	30769
Distinct characters	250
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	129 ?
Unique (%)	1.3%

Sample

1st row	상도1동
2nd row	망월동
3rd row	초지동
4th row	석수동
5th row	곡반정동

Value	Count	Frequency (%)
신림동	374	3.7%
봉천동	345	3.5%
사당동	131	1.3%
면목동	123	1.2%
자양동	113	1.1%
신길동	106	1.1%
독산동	89	0.9%
상도동	87	0.9%
중곡동	83	0.8%
화양동	82	0.8%
Other values (717)	8467	84.7%

Most occurring characters

Value	Count	Frequency (%)
동	9490	30.8%
신	896	2.9%
천	602	2.0%
정	521	1.7%
가	475	1.5%
림	475	1.5%
봉	468	1.5%
읍	457	1.5%
양	455	1.5%
산	416	1.4%
Other values (240)	16514	53.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	30418	98.9%
Decimal Number	351	1.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	9490	31.2%
신	896	2.9%
천	602	2.0%
정	521	1.7%
가	475	1.6%
림	475	1.6%
봉	468	1.5%
읍	457	1.5%
양	455	1.5%
산	416	1.4%
Other values (233)	16163	53.1%

Decimal Number

Value	Count	Frequency (%)
2	100	28.5%
1	88	25.1%
3	83	23.6%
4	31	8.8%
5	23	6.6%
6	23	6.6%
7	3	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	30418	98.9%
Common	351	1.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	9490	31.2%
신	896	2.9%
천	602	2.0%
정	521	1.7%
가	475	1.6%
림	475	1.6%
봉	468	1.5%
읍	457	1.5%
양	455	1.5%
산	416	1.4%
Other values (233)	16163	53.1%

Common

Value	Count	Frequency (%)
2	100	28.5%
1	88	25.1%
3	83	23.6%
4	31	8.8%
5	23	6.6%
6	23	6.6%
7	3	0.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	30418	98.9%
ASCII	351	1.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	9490	31.2%
신	896	2.9%
천	602	2.0%
정	521	1.7%
가	475	1.6%
림	475	1.6%
봉	468	1.5%
읍	457	1.5%
양	455	1.5%
산	416	1.4%
Other values (233)	16163	53.1%

ASCII

Value	Count	Frequency (%)
2	100	28.5%
1	88	25.1%
3	83	23.6%
4	31	8.8%
5	23	6.6%
6	23	6.6%
7	3	0.9%

NRB_ROAD_BT_CONT
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

8m미만	6135
12m미만	2611
25m미만	621
기타	534
25m이상	99

Length

Max length	5
Median length	4
Mean length	4.2263
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8m미만
2nd row	25m미만
3rd row	12m미만
4th row	25m미만
5th row	12m미만

Common Values

Value	Count	Frequency (%)
8m미만	6135	61.4%
12m미만	2611	26.1%
25m미만	621	6.2%
기타	534	5.3%
25m이상	99	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
8m미만	6135	61.4%
12m미만	2611	26.1%
25m미만	621	6.2%
기타	534	5.3%
25m이상	99	1.0%

CNTRCT_DIMS_SQM_VL
Real number (ℝ)

Distinct	2415
Distinct (%)	24.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35.759107

Minimum	10
Maximum	226.06
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	10
5-th percentile	16
Q1	21.475
median	30.27
Q3	45
95-th percentile	70
Maximum	226.06
Range	216.06
Interquartile range (IQR)	23.525

Descriptive statistics

Standard deviation	18.917655
Coefficient of variation (CV)	0.52903041
Kurtosis	8.2325801
Mean	35.759107
Median Absolute Deviation (MAD)	10.27
Skewness	2.0187313
Sum	357591.07
Variance	357.87767
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30.0	590	5.9%
20.0	586	5.9%
40.0	369	3.7%
18.0	348	3.5%
25.0	338	3.4%
33.0	319	3.2%
50.0	231	2.3%
15.0	212	2.1%
35.0	195	1.9%
23.0	190	1.9%
Other values (2405)	6622	66.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10.0	21	0.2%
10.08	1	< 0.1%
10.34	1	< 0.1%
10.56	1	< 0.1%
10.66	1	< 0.1%
10.68	1	< 0.1%
11.0	7	0.1%
11.08	1	< 0.1%
11.18	1	< 0.1%
11.5	1	< 0.1%

Value	Count	Frequency (%)
226.06	1	< 0.1%
217.8	1	< 0.1%
213.24	1	< 0.1%
211.76	1	< 0.1%
200.0	1	< 0.1%
199.8	1	< 0.1%
183.93	1	< 0.1%
179.05	1	< 0.1%
148.12	1	< 0.1%
146.86	1	< 0.1%

CNTRCT_YM
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

202207	3457
202208	3417
202209	3126

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	202208
2nd row	202207
3rd row	202207
4th row	202208
5th row	202207

Common Values

Value	Count	Frequency (%)
202207	3457	34.6%
202208	3417	34.2%
202209	3126	31.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
202207	3457	34.6%
202208	3417	34.2%
202209	3126	31.3%

CNTRCT_DE
Real number (ℝ)

Distinct	31
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.1002

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	30
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.8289498
Coefficient of variation (CV)	0.54837516
Kurtosis	-1.1679965
Mean	16.1002
Median Absolute Deviation (MAD)	8
Skewness	-0.10169533
Sum	161002
Variance	77.950355
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
16	430	4.3%
20	423	4.2%
26	420	4.2%
1	405	4.0%
22	402	4.0%
15	394	3.9%
23	392	3.9%
30	390	3.9%
19	372	3.7%
5	362	3.6%
Other values (21)	6010	60.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	405	4.0%
2	336	3.4%
3	270	2.7%
4	293	2.9%
5	362	3.6%
6	334	3.3%
7	230	2.3%
8	329	3.3%
9	278	2.8%
10	174	1.7%

Value	Count	Frequency (%)
31	137	1.4%
30	390	3.9%
29	316	3.2%
28	286	2.9%
27	355	3.5%
26	420	4.2%
25	290	2.9%
24	304	3.0%
23	392	3.9%
22	402	4.0%

MTHT_GTN
Real number (ℝ)

Distinct	451
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	58.1748

Minimum	0
Maximum	900
Zeros	36
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	8
Q1	15
median	26
Q3	55
95-th percentile	240
Maximum	900
Range	900
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	92.376558
Coefficient of variation (CV)	1.5879136
Kurtosis	20.937437
Mean	58.1748
Median Absolute Deviation (MAD)	14
Skewness	4.0551894
Sum	581748
Variance	8533.4284
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25	461	4.6%
17	436	4.4%
15	400	4.0%
13	357	3.6%
20	350	3.5%
33	272	2.7%
10	272	2.7%
14	257	2.6%
11	238	2.4%
50	231	2.3%
Other values (441)	6726	67.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	36	0.4%
1	6	0.1%
2	41	0.4%
3	48	0.5%
4	65	0.7%
5	74	0.7%
6	82	0.8%
7	108	1.1%
8	172	1.7%
9	160	1.6%

Value	Count	Frequency (%)
900	1	< 0.1%
867	3	< 0.1%
866	1	< 0.1%
833	4	< 0.1%
821	1	< 0.1%
814	1	< 0.1%
813	2	< 0.1%
800	1	< 0.1%
770	1	< 0.1%
752	1	< 0.1%

MNTH_RENTCG
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

1	5490
2	3393
3	975
4	121
5	21

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
1	5490	54.9%
2	3393	33.9%
3	975	9.8%
4	121	1.2%
5	21	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	5490	54.9%
2	3393	33.9%
3	975	9.8%
4	121	1.2%
5	21	0.2%

BILDNG_YR
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	77
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2001.3796

Minimum	1933
Maximum	8404
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1933
5-th percentile	1984
Q1	1992
median	1998
Q3	2012
95-th percentile	2020
Maximum	8404
Range	6471
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	65.20537
Coefficient of variation (CV)	0.032580211
Kurtosis	9299.5443
Mean	2001.3796
Median Absolute Deviation (MAD)	8
Skewness	94.698257
Sum	20013796
Variance	4251.7403
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1993	484	4.8%
1997	478	4.8%
1996	471	4.7%
1991	454	4.5%
1990	426	4.3%
1995	411	4.1%
1994	410	4.1%
2002	384	3.8%
1992	365	3.6%
2017	340	3.4%
Other values (67)	5777	57.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1933	2	< 0.1%
1934	2	< 0.1%
1935	1	< 0.1%
1936	1	< 0.1%
1942	1	< 0.1%
1948	2	< 0.1%
1949	1	< 0.1%
1953	2	< 0.1%
1954	2	< 0.1%
1955	2	< 0.1%

Value	Count	Frequency (%)
8404	1	< 0.1%
2022	259	2.6%
2021	124	1.2%
2020	141	1.4%
2019	198	2.0%
2018	340	3.4%
2017	340	3.4%
2016	319	3.2%
2015	205	2.1%
2014	210	2.1%

CNTRCT_CLSF_NM
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

신규	7135
<NA>	2373
갱신	492

Length

Max length	4
Median length	2
Mean length	2.4746
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	갱신
2nd row	신규
3rd row	<NA>
4th row	<NA>
5th row	신규

Common Values

Value	Count	Frequency (%)
신규	7135	71.4%
<NA>	2373	23.7%
갱신	492	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
신규	7135	71.4%
na	2373	23.7%
갱신	492	4.9%

AVE_LFSTS_PC_MINM_AMT
Real number (ℝ)

HIGH CORRELATION

Distinct	355
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	301.01

Minimum	33
Maximum	668
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	33
5-th percentile	144.95
Q1	213
median	287
Q3	380
95-th percentile	488
Maximum	668
Range	635
Interquartile range (IQR)	167

Descriptive statistics

Standard deviation	106.28479
Coefficient of variation (CV)	0.35309388
Kurtosis	-0.73444524
Mean	301.01
Median Absolute Deviation (MAD)	81
Skewness	0.31707406
Sum	3010100
Variance	11296.456
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
402	413	4.1%
488	349	3.5%
248	165	1.7%
273	161	1.6%
376	139	1.4%
509	131	1.3%
287	123	1.2%
315	123	1.2%
184	121	1.2%
318	121	1.2%
Other values (345)	8154	81.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
33	1	< 0.1%
38	2	< 0.1%
52	1	< 0.1%
53	1	< 0.1%
59	1	< 0.1%
60	5	0.1%
66	2	< 0.1%
67	1	< 0.1%
78	4	< 0.1%
79	7	0.1%

Value	Count	Frequency (%)
668	1	< 0.1%
626	7	0.1%
602	7	0.1%
592	1	< 0.1%
576	3	< 0.1%
571	7	0.1%
557	32	0.3%
553	18	0.2%
551	4	< 0.1%
549	15	0.1%

AVE_LFSTS_PC_MAX_AMT
Real number (ℝ)

HIGH CORRELATION

Distinct	386
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	353.3431

Minimum	39
Maximum	784
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	39
5-th percentile	169.95
Q1	250
median	337
Q3	446
95-th percentile	573
Maximum	784
Range	745
Interquartile range (IQR)	196

Descriptive statistics

Standard deviation	124.74179
Coefficient of variation (CV)	0.35303304
Kurtosis	-0.73472548
Mean	353.3431
Median Absolute Deviation (MAD)	95
Skewness	0.3168521
Sum	3533431
Variance	15560.514
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
472	413	4.1%
573	349	3.5%
374	152	1.5%
291	139	1.4%
597	131	1.3%
337	123	1.2%
216	121	1.2%
414	120	1.2%
422	120	1.2%
442	119	1.2%
Other values (376)	8213	82.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
39	1	< 0.1%
45	2	< 0.1%
61	1	< 0.1%
62	1	< 0.1%
69	1	< 0.1%
70	5	0.1%
78	2	< 0.1%
79	1	< 0.1%
91	4	< 0.1%
92	1	< 0.1%

Value	Count	Frequency (%)
784	1	< 0.1%
735	7	0.1%
707	7	0.1%
695	1	< 0.1%
676	3	< 0.1%
671	7	0.1%
654	32	0.3%
649	18	0.2%
647	4	< 0.1%
644	15	0.1%

MTHT_CONV_RT_MINM_VL
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	135
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.3272

Minimum	-7205
Maximum	2035
Zeros	0
Zeros (%)	0.0%
Negative	131
Negative (%)	1.3%
Memory size	166.0 KiB

Quantile statistics

Minimum	-7205
5-th percentile	3
Q1	4
median	6
Q3	8
95-th percentile	13
Maximum	2035
Range	9240
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	78.908671
Coefficient of variation (CV)	12.471341
Kurtosis	7043.0592
Mean	6.3272
Median Absolute Deviation (MAD)	2
Skewness	-75.456444
Sum	63272
Variance	6226.5784
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	1595	16.0%
6	1496	15.0%
4	1343	13.4%
7	1196	12.0%
8	880	8.8%
3	803	8.0%
9	675	6.8%
10	456	4.6%
11	318	3.2%
2	245	2.5%
Other values (125)	993	9.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-7205	1	< 0.1%
-1649	1	< 0.1%
-683	1	< 0.1%
-407	1	< 0.1%
-388	1	< 0.1%
-358	1	< 0.1%
-283	1	< 0.1%
-150	1	< 0.1%
-114	1	< 0.1%
-106	1	< 0.1%

Value	Count	Frequency (%)
2035	1	< 0.1%
892	1	< 0.1%
500	1	< 0.1%
483	1	< 0.1%
363	1	< 0.1%
330	1	< 0.1%
296	1	< 0.1%
256	1	< 0.1%
246	1	< 0.1%
243	1	< 0.1%

MTHT_CONV_RT_MAX_VL
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	165
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.4248

Minimum	-17832
Maximum	2183
Zeros	0
Zeros (%)	0.0%
Negative	223
Negative (%)	2.2%
Memory size	166.0 KiB

Quantile statistics

Minimum	-17832
5-th percentile	3
Q1	5
median	7
Q3	10
95-th percentile	16
Maximum	2183
Range	20015
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	183.26555
Coefficient of variation (CV)	28.524709
Kurtosis	8983.7655
Mean	6.4248
Median Absolute Deviation (MAD)	2
Skewness	-91.896907
Sum	64248
Variance	33586.262
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	1286	12.9%
7	1264	12.6%
5	1168	11.7%
8	1087	10.9%
4	850	8.5%
9	812	8.1%
10	673	6.7%
11	510	5.1%
3	395	4.0%
12	370	3.7%
Other values (155)	1585	15.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-17832	1	< 0.1%
-1044	1	< 0.1%
-674	1	< 0.1%
-510	1	< 0.1%
-480	1	< 0.1%
-452	1	< 0.1%
-384	1	< 0.1%
-334	1	< 0.1%
-319	1	< 0.1%
-272	1	< 0.1%

Value	Count	Frequency (%)
2183	1	< 0.1%
1902	1	< 0.1%
1513	1	< 0.1%
1345	1	< 0.1%
740	1	< 0.1%
550	2	< 0.1%
336	1	< 0.1%
194	1	< 0.1%
149	1	< 0.1%
147	1	< 0.1%

Heatmap
Table

	DTCHDHS_MTHT_CONV_RT_INFO_NO	SIDO_NM	SIGNGU_NM	TNSHP_NM	NRB_ROAD_BT_CONT	CNTRCT_DIMS_SQM_VL	CNTRCT_YM	CNTRCT_DE	MTHT_GTN	MNTH_RENTCG	BILDNG_YR	CNTRCT_CLSF_NM	AVE_LFSTS_PC_MINM_AMT	AVE_LFSTS_PC_MAX_AMT	MTHT_CONV_RT_MINM_VL	MTHT_CONV_RT_MAX_VL
DTCHDHS_MTHT_CONV_RT_INFO_NO	1.000	0.865	0.994	0.947	0.465	0.187	0.048	0.000	0.204	0.346	0.000	0.050	0.745	0.745	0.008	0.045
SIDO_NM	0.865	1.000	0.997	NaN	0.344	0.172	0.084	0.000	0.188	0.232	0.000	0.008	0.669	0.668	0.000	0.014
SIGNGU_NM	0.994	0.997	1.000	1.000	0.521	0.309	0.103	0.010	0.268	0.430	0.000	0.130	0.867	0.867	0.000	0.000
TNSHP_NM	0.947	NaN	1.000	1.000	0.380	0.273	0.119	0.000	0.197	0.310	NaN	0.124	0.769	0.769	0.076	NaN
NRB_ROAD_BT_CONT	0.465	0.344	0.521	0.380	1.000	0.156	0.000	0.035	0.226	0.094	0.027	0.032	0.370	0.369	0.024	0.017
CNTRCT_DIMS_SQM_VL	0.187	0.172	0.309	0.273	0.156	1.000	0.082	0.061	0.152	0.544	0.000	0.175	0.171	0.172	0.000	0.000
CNTRCT_YM	0.048	0.084	0.103	0.119	0.000	0.082	1.000	0.249	0.000	0.059	0.000	0.022	0.072	0.073	0.015	0.000
CNTRCT_DE	0.000	0.000	0.010	0.000	0.035	0.061	0.249	1.000	0.058	0.023	0.000	0.031	0.033	0.031	0.005	0.046
MTHT_GTN	0.204	0.188	0.268	0.197	0.226	0.152	0.000	0.058	1.000	0.142	0.000	0.171	0.312	0.312	0.209	0.293
MNTH_RENTCG	0.346	0.232	0.430	0.310	0.094	0.544	0.059	0.023	0.142	1.000	0.019	0.096	0.402	0.402	0.000	0.009
BILDNG_YR	0.000	0.000	0.000	NaN	0.027	0.000	0.000	0.000	0.000	0.019	1.000	0.000	0.022	0.022	0.000	0.000
CNTRCT_CLSF_NM	0.050	0.008	0.130	0.124	0.032	0.175	0.022	0.031	0.171	0.096	0.000	1.000	0.076	0.076	0.000	0.000
AVE_LFSTS_PC_MINM_AMT	0.745	0.669	0.867	0.769	0.370	0.171	0.072	0.033	0.312	0.402	0.022	0.076	1.000	1.000	0.000	0.041
AVE_LFSTS_PC_MAX_AMT	0.745	0.668	0.867	0.769	0.369	0.172	0.073	0.031	0.312	0.402	0.022	0.076	1.000	1.000	0.000	0.041
MTHT_CONV_RT_MINM_VL	0.008	0.000	0.000	0.076	0.024	0.000	0.015	0.005	0.209	0.000	0.000	0.000	0.000	0.000	1.000	0.000
MTHT_CONV_RT_MAX_VL	0.045	0.014	0.000	NaN	0.017	0.000	0.000	0.046	0.293	0.009	0.000	0.000	0.041	0.041	0.000	1.000

Heatmap
Table

	CNTRCT_YM	NRB_ROAD_BT_CONT	SIDO_NM	CNTRCT_CLSF_NM	TNSHP_NM	MNTH_RENTCG
CNTRCT_YM	1.000	0.000	0.025	0.037	0.063	0.044
NRB_ROAD_BT_CONT	0.000	1.000	0.277	0.039	0.206	0.035
SIDO_NM	0.025	0.277	1.000	0.014	1.000	0.179
CNTRCT_CLSF_NM	0.037	0.039	0.014	1.000	0.111	0.117
TNSHP_NM	0.063	0.206	1.000	0.111	1.000	0.164
MNTH_RENTCG	0.044	0.035	0.179	0.117	0.164	1.000

Heatmap
Table

	DTCHDHS_MTHT_CONV_RT_INFO_NO	CNTRCT_DIMS_SQM_VL	CNTRCT_DE	MTHT_GTN	BILDNG_YR	AVE_LFSTS_PC_MINM_AMT	AVE_LFSTS_PC_MAX_AMT	MTHT_CONV_RT_MINM_VL	MTHT_CONV_RT_MAX_VL	SIDO_NM	TNSHP_NM	NRB_ROAD_BT_CONT	CNTRCT_YM	MNTH_RENTCG	CNTRCT_CLSF_NM
DTCHDHS_MTHT_CONV_RT_INFO_NO	1.000	0.197	0.007	-0.320	0.228	-0.676	-0.676	0.314	0.309	0.792	0.846	0.211	0.028	0.151	0.038
CNTRCT_DIMS_SQM_VL	0.197	1.000	0.045	0.023	-0.124	-0.190	-0.190	-0.371	-0.341	0.103	0.112	0.066	0.048	0.256	0.134
CNTRCT_DE	0.007	0.045	1.000	0.005	-0.009	-0.012	-0.012	-0.018	-0.011	0.006	0.024	0.016	0.131	0.000	0.019
MTHT_GTN	-0.320	0.023	0.005	1.000	0.089	0.440	0.440	0.026	0.042	0.114	0.084	0.096	0.000	0.059	0.132
BILDNG_YR	0.228	-0.124	-0.009	0.089	1.000	-0.083	-0.083	0.365	0.353	0.000	1.000	0.033	0.000	0.023	0.000
AVE_LFSTS_PC_MINM_AMT	-0.676	-0.190	-0.012	0.440	-0.083	1.000	1.000	-0.410	-0.398	0.520	0.456	0.162	0.042	0.178	0.058
AVE_LFSTS_PC_MAX_AMT	-0.676	-0.190	-0.012	0.440	-0.083	1.000	1.000	-0.410	-0.398	0.519	0.456	0.162	0.043	0.178	0.058
MTHT_CONV_RT_MINM_VL	0.314	-0.371	-0.018	0.026	0.365	-0.410	-0.410	1.000	0.928	0.000	0.040	0.014	0.015	0.000	0.000
MTHT_CONV_RT_MAX_VL	0.309	-0.341	-0.011	0.042	0.353	-0.398	-0.398	0.928	1.000	0.015	1.000	0.006	0.000	0.000	0.000
SIDO_NM	0.792	0.103	0.006	0.114	0.000	0.520	0.519	0.000	0.015	1.000	1.000	0.277	0.025	0.179	0.014
TNSHP_NM	0.846	0.112	0.024	0.084	1.000	0.456	0.456	0.040	1.000	1.000	1.000	0.206	0.063	0.164	0.111
NRB_ROAD_BT_CONT	0.211	0.066	0.016	0.096	0.033	0.162	0.162	0.014	0.006	0.277	0.206	1.000	0.000	0.035	0.039
CNTRCT_YM	0.028	0.048	0.131	0.000	0.000	0.042	0.043	0.015	0.000	0.025	0.063	0.000	1.000	0.044	0.037
MNTH_RENTCG	0.151	0.256	0.000	0.059	0.023	0.178	0.178	0.000	0.000	0.179	0.164	0.035	0.044	1.000	0.117
CNTRCT_CLSF_NM	0.038	0.134	0.019	0.132	0.000	0.058	0.058	0.000	0.000	0.014	0.111	0.039	0.037	0.117	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

	DTCHDHS_MTHT_CONV_RT_INFO_NO	SIDO_NM	SIGNGU_NM	TNSHP_NM	EMD_NM	NRB_ROAD_BT_CONT	CNTRCT_DIMS_SQM_VL	CNTRCT_YM	CNTRCT_DE	MTHT_GTN	MNTH_RENTCG	BILDNG_YR	CNTRCT_CLSF_NM	AVE_LFSTS_PC_MINM_AMT	AVE_LFSTS_PC_MAX_AMT	MTHT_CONV_RT_MINM_VL	MTHT_CONV_RT_MAX_VL
14004	15105	서울특별시	동작구	<NA>	상도1동	8m미만	17.0	202208	5	118	2	2019	갱신	549	644	5	7
44475	48268	경기도	하남시	<NA>	망월동	25m미만	65.0	202207	23	62	2	2016	신규	434	509	5	6
37060	40247	경기도	안산시	단원구	초지동	12m미만	25.0	202207	12	80	1	2003	<NA>	202	237	6	8
38330	41668	경기도	안양시	만안구	석수동	25m미만	20.0	202208	29	25	1	1988	<NA>	218	256	6	8
33992	36942	경기도	수원시	권선구	곡반정동	12m미만	29.7	202207	7	3	2	2006	신규	166	195	10	12
27060	29247	경기도	고양시	일산동구	풍동	12m미만	25.0	202207	11	4	1	2009	신규	216	253	6	7
19673	21149	서울특별시	성북구	<NA>	종암동	8m미만	21.0	202207	23	48	2	2010	신규	301	354	7	9
9444	10221	서울특별시	구로구	<NA>	고척동	8m미만	38.7	202209	16	13	1	1991	신규	252	296	5	6
24446	26350	서울특별시	중구	<NA>	필동2가	8m미만	13.22	202208	22	76	4	1994	신규	115	135	77	116
47284	51308	인천광역시	서구	<NA>	석남동	기타	40.0	202207	9	8	1	1991	<NA>	125	147	6	8

	DTCHDHS_MTHT_CONV_RT_INFO_NO	SIDO_NM	SIGNGU_NM	TNSHP_NM	EMD_NM	NRB_ROAD_BT_CONT	CNTRCT_DIMS_SQM_VL	CNTRCT_YM	CNTRCT_DE	MTHT_GTN	MNTH_RENTCG	BILDNG_YR	CNTRCT_CLSF_NM	AVE_LFSTS_PC_MINM_AMT	AVE_LFSTS_PC_MAX_AMT	MTHT_CONV_RT_MINM_VL	MTHT_CONV_RT_MAX_VL
15206	16384	서울특별시	마포구	<NA>	동교동	8m미만	19.8	202209	15	51	3	1984	신규	340	399	10	13
33579	36478	경기도	성남시	중원구	상대원동	8m미만	40.1	202209	7	25	1	1990	신규	238	280	5	6
34049	37002	경기도	수원시	권선구	구운동	12m미만	25.11	202208	26	80	1	1999	<NA>	166	195	10	14
2560	2764	서울특별시	강북구	<NA>	수유동	8m미만	16.0	202209	25	6	2	2016	<NA>	273	321	7	8
39982	43476	경기도	용인시	기흥구	신갈동	8m미만	25.0	202208	12	20	1	2014	신규	201	236	8	9
11032	11916	서울특별시	노원구	<NA>	상계동	12m미만	48.1	202208	11	42	1	1987	신규	223	262	7	9
2746	2954	서울특별시	강북구	<NA>	수유동	8m미만	36.3	202209	24	14	1	1989	신규	273	321	5	6
46284	50230	인천광역시	남동구	<NA>	만수동	8m미만	23.0	202207	18	13	1	2001	<NA>	109	128	14	16
38603	41957	경기도	안양시	만안구	안양동	12m미만	40.0	202208	29	5	1	1992	<NA>	209	245	4	4
8380	9067	서울특별시	광진구	<NA>	중곡동	8m미만	20.0	202209	17	25	1	1991	<NA>	376	442	4	4

Overview

Variables

Common Values

Length

Common Values (Plot)

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

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample