gimi9 Pandas Profiling

Dataset statistics

Number of variables	14
Number of observations	497
Missing cells	117
Missing cells (%)	1.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	57.4 KiB
Average record size in memory	118.3 B

Variable types

Categorical	3
Text	4
DateTime	1
Numeric	6

Dataset

Description	경기도 용인시 관내 공동주택 현황입니다. 위치, 단지명, 동수, 층수 등의 데이터를 제공합니다.※ 데이터기준일자 : 2014-02-27
Author	경기도 용인시
URL	https://www.data.go.kr/data/3063525/fileData.do

Alerts

`데이터기준일자` has constant value ""	Constant
`구분` is highly overall correlated with `비고`	High correlation
`비고` is highly overall correlated with `구분`	High correlation
`동수` is highly overall correlated with `세대수` and 3 other fields	High correlation
`층수` is highly overall correlated with `세대수` and 1 other fields	High correlation
`세대수` is highly overall correlated with `동수` and 4 other fields	High correlation
`대지면적` is highly overall correlated with `동수` and 3 other fields	High correlation
`건축면적` is highly overall correlated with `동수` and 3 other fields	High correlation
`연면적` is highly overall correlated with `동수` and 4 other fields	High correlation
`구분` is highly imbalanced (71.2%)	Imbalance
`비고` is highly imbalanced (62.4%)	Imbalance
`평형(세대수)` has 27 (5.4%) missing values	Missing
`대지면적` has 27 (5.4%) missing values	Missing
`관리사무소 전화번호` has 59 (11.9%) missing values	Missing
`연면적` is highly skewed (γ1 = 20.54541685)	Skewed
`위치` has unique values	Unique

Reproduction

Analysis started	2023-12-12 05:32:58.954093
Analysis finished	2023-12-12 05:33:04.509170
Duration	5.56 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

구분
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

분양아파트	472
임대아파트	25

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
분양아파트	472	95.0%
임대아파트	25	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
분양아파트	472	95.0%
임대아파트	25	5.0%

위치
Text

UNIQUE

Distinct	497
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Length

Max length	39
Median length	34
Mean length	12.61167
Min length	10

Characters and Unicode

Total characters	6268
Distinct characters	103
Distinct categories	8 ?
Distinct scripts	4 ?
Distinct blocks	3 ?

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

Unique

Unique	497 ?
Unique (%)	100.0%

Sample

1st row	처인구 고림동 264-8
2nd row	처인구 고림동 411-1
3rd row	처인구 고림동 748-6 ,748-11
4th row	처인구 고림동 794-29
5th row	처인구 고림동 995

Value	Count	Frequency (%)
기흥구	221	14.4%
수지구	186	12.1%
처인구	91	5.9%
죽전1동	46	3.0%
구갈동	27	1.8%
상현1동	25	1.6%
중동	23	1.5%
신갈동	21	1.4%
영덕동	21	1.4%
동천동	19	1.2%
Other values (512)	857	55.8%

Most occurring characters

Value	Count	Frequency (%)
	1045	16.7%
구	535	8.5%
동	519	8.3%
1	442	7.1%
흥	221	3.5%
기	221	3.5%
2	206	3.3%
지	199	3.2%
수	186	3.0%
6	180	2.9%
Other values (93)	2514	40.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	3243	51.7%
Decimal Number	1836	29.3%
Space Separator	1045	16.7%
Dash Punctuation	102	1.6%
Close Punctuation	13	0.2%
Open Punctuation	13	0.2%
Uppercase Letter	12	0.2%
Other Punctuation	4	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
구	535	16.5%
동	519	16.0%
흥	221	6.8%
기	221	6.8%
지	199	6.1%
수	186	5.7%
인	91	2.8%
처	91	2.8%
전	71	2.2%
천	65	2.0%
Other values (75)	1044	32.2%

Decimal Number

Value	Count	Frequency (%)
1	442	24.1%
2	206	11.2%
6	180	9.8%
5	157	8.6%
8	155	8.4%
3	150	8.2%
9	144	7.8%
0	142	7.7%
4	131	7.1%
7	129	7.0%

Uppercase Letter

Value	Count	Frequency (%)
A	6	50.0%
L	3	25.0%
B	3	25.0%

Space Separator

Value	Count	Frequency (%)
	1045	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	102	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	13	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	13	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	3240	51.7%
Common	3013	48.1%
Latin	12	0.2%
Han	3	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
구	535	16.5%
동	519	16.0%
흥	221	6.8%
기	221	6.8%
지	199	6.1%
수	186	5.7%
인	91	2.8%
처	91	2.8%
전	71	2.2%
천	65	2.0%
Other values (74)	1041	32.1%

Common

Value	Count	Frequency (%)
	1045	34.7%
1	442	14.7%
2	206	6.8%
6	180	6.0%
5	157	5.2%
8	155	5.1%
3	150	5.0%
9	144	4.8%
0	142	4.7%
4	131	4.3%
Other values (5)	261	8.7%

Latin

Value	Count	Frequency (%)
A	6	50.0%
L	3	25.0%
B	3	25.0%

Han

Value	Count	Frequency (%)
外	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	3240	51.7%
ASCII	3025	48.3%
CJK	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1045	34.5%
1	442	14.6%
2	206	6.8%
6	180	6.0%
5	157	5.2%
8	155	5.1%
3	150	5.0%
9	144	4.8%
0	142	4.7%
4	131	4.3%
Other values (8)	273	9.0%

Hangul

Value	Count	Frequency (%)
구	535	16.5%
동	519	16.0%
흥	221	6.8%
기	221	6.8%
지	199	6.1%
수	186	5.7%
인	91	2.8%
처	91	2.8%
전	71	2.2%
천	65	2.0%
Other values (74)	1041	32.1%

CJK

Value	Count	Frequency (%)
外	3	100.0%

단지명
Text

Distinct	489
Distinct (%)	98.8%
Missing	2
Missing (%)	0.4%
Memory size	4.0 KiB

Length

Max length	27
Median length	22
Mean length	11.707071
Min length	2

Characters and Unicode

Total characters	5795
Distinct characters	299
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	483 ?
Unique (%)	97.6%

Sample

1st row	인정 피렌체 빌리지 1차
2nd row	이삭아파트
3rd row	용성빌라
4th row	예진마을 2차아파트
5th row	임원마을 영화1차 아파트

Value	Count	Frequency (%)
수지	20	1.9%
휴먼시아	16	1.5%
상현마을	15	1.4%
1단지	14	1.3%
2단지	12	1.1%
내대지마을	11	1.0%
3단지	11	1.0%
신봉마을	11	1.0%
교동마을	10	0.9%
도담마을	10	0.9%
Other values (542)	937	87.8%

Most occurring characters

Value	Count	Frequency (%)
	577	10.0%
마	357	6.2%
을	348	6.0%
아	269	4.6%
트	240	4.1%
파	225	3.9%
지	200	3.5%
단	125	2.2%
빌	102	1.8%
현	99	1.7%
Other values (289)	3253	56.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	4810	83.0%
Space Separator	577	10.0%
Decimal Number	279	4.8%
Close Punctuation	42	0.7%
Open Punctuation	42	0.7%
Uppercase Letter	29	0.5%
Dash Punctuation	11	0.2%
Other Punctuation	4	0.1%
Letter Number	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
마	357	7.4%
을	348	7.2%
아	269	5.6%
트	240	5.0%
파	225	4.7%
지	200	4.2%
단	125	2.6%
빌	102	2.1%
현	99	2.1%
차	91	1.9%
Other values (266)	2754	57.3%

Decimal Number

Value	Count	Frequency (%)
1	76	27.2%
2	69	24.7%
3	40	14.3%
0	22	7.9%
4	22	7.9%
5	18	6.5%
6	13	4.7%
7	8	2.9%
8	6	2.2%
9	5	1.8%

Uppercase Letter

Value	Count	Frequency (%)
G	8	27.6%
A	8	27.6%
L	8	27.6%
C	2	6.9%
B	2	6.9%
J	1	3.4%

Other Punctuation

Value	Count	Frequency (%)
.	3	75.0%
,	1	25.0%

Space Separator

Value	Count	Frequency (%)
	577	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	42	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	42	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅱ	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	4810	83.0%
Common	955	16.5%
Latin	30	0.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
마	357	7.4%
을	348	7.2%
아	269	5.6%
트	240	5.0%
파	225	4.7%
지	200	4.2%
단	125	2.6%
빌	102	2.1%
현	99	2.1%
차	91	1.9%
Other values (266)	2754	57.3%

Common

Value	Count	Frequency (%)
	577	60.4%
1	76	8.0%
2	69	7.2%
)	42	4.4%
(	42	4.4%
3	40	4.2%
0	22	2.3%
4	22	2.3%
5	18	1.9%
6	13	1.4%
Other values (6)	34	3.6%

Latin

Value	Count	Frequency (%)
G	8	26.7%
A	8	26.7%
L	8	26.7%
C	2	6.7%
B	2	6.7%
J	1	3.3%
Ⅱ	1	3.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	4810	83.0%
ASCII	984	17.0%
Number Forms	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	577	58.6%
1	76	7.7%
2	69	7.0%
)	42	4.3%
(	42	4.3%
3	40	4.1%
0	22	2.2%
4	22	2.2%
5	18	1.8%
6	13	1.3%
Other values (12)	63	6.4%

Hangul

Value	Count	Frequency (%)
마	357	7.4%
을	348	7.2%
아	269	5.6%
트	240	5.0%
파	225	4.7%
지	200	4.2%
단	125	2.6%
빌	102	2.1%
현	99	2.1%
차	91	1.9%
Other values (266)	2754	57.3%

Number Forms

Value	Count	Frequency (%)
Ⅱ	1	100.0%

사용검사일
Date

Distinct	400
Distinct (%)	80.5%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Minimum	1984-11-09 00:00:00
Maximum	2014-02-27 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

동수
Real number (ℝ)

HIGH CORRELATION

Distinct	29
Distinct (%)	5.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.7867203

Minimum	1
Maximum	36
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	9
95-th percentile	15
Maximum	36
Range	35
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.8885548
Coefficient of variation (CV)	0.72031182
Kurtosis	6.2393876
Mean	6.7867203
Median Absolute Deviation (MAD)	3
Skewness	1.842973
Sum	3373
Variance	23.897968
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
1	50	10.1%
3	49	9.9%
7	48	9.7%
5	47	9.5%
8	46	9.3%
6	46	9.3%
4	43	8.7%
2	35	7.0%
9	27	5.4%
10	23	4.6%
Other values (19)	83	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	50	10.1%
2	35	7.0%
3	49	9.9%
4	43	8.7%
5	47	9.5%
6	46	9.3%
7	48	9.7%
8	46	9.3%
9	27	5.4%
10	23	4.6%

Value	Count	Frequency (%)
36	1	0.2%
35	1	0.2%
30	1	0.2%
27	1	0.2%
26	1	0.2%
24	1	0.2%
23	1	0.2%
22	1	0.2%
21	1	0.2%
20	1	0.2%

층수
Real number (ℝ)

HIGH CORRELATION

Distinct	30
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.953722

Minimum	3
Maximum	40
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.5 KiB

Quantile statistics

Minimum	3
5-th percentile	4
Q1	15
median	19
Q3	20
95-th percentile	25
Maximum	40
Range	37
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	5.9996532
Coefficient of variation (CV)	0.35388412
Kurtosis	0.77911216
Mean	16.953722
Median Absolute Deviation (MAD)	3
Skewness	-0.71096466
Sum	8426
Variance	35.995838
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
20	142	28.6%
15	81	16.3%
18	42	8.5%
19	34	6.8%
25	27	5.4%
4	18	3.6%
5	17	3.4%
3	16	3.2%
17	12	2.4%
16	12	2.4%
Other values (20)	96	19.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	16	3.2%
4	18	3.6%
5	17	3.4%
6	10	2.0%
7	3	0.6%
8	1	0.2%
9	1	0.2%
10	7	1.4%
11	3	0.6%
12	6	1.2%

Value	Count	Frequency (%)
40	1	0.2%
36	1	0.2%
30	3	0.6%
29	1	0.2%
28	1	0.2%
27	2	0.4%
26	1	0.2%
25	27	5.4%
24	10	2.0%
23	12	2.4%

세대수
Real number (ℝ)

HIGH CORRELATION

Distinct	356
Distinct (%)	71.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	449.68209

Minimum	21
Maximum	1998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.5 KiB

Quantile statistics

Minimum	21
5-th percentile	45
Q1	196
median	389
Q3	592
95-th percentile	1119.2
Maximum	1998
Range	1977
Interquartile range (IQR)	396

Descriptive statistics

Standard deviation	348.50673
Coefficient of variation (CV)	0.77500691
Kurtosis	3.0130937
Mean	449.68209
Median Absolute Deviation (MAD)	195
Skewness	1.4767395
Sum	223492
Variance	121456.94
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24	7	1.4%
72	4	0.8%
70	4	0.8%
50	4	0.8%
432	4	0.8%
159	3	0.6%
367	3	0.6%
296	3	0.6%
404	3	0.6%
336	3	0.6%
Other values (346)	459	92.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21	3	0.6%
24	7	1.4%
25	1	0.2%
27	2	0.4%
30	1	0.2%
32	1	0.2%
36	3	0.6%
37	1	0.2%
39	1	0.2%
40	2	0.4%

Value	Count	Frequency (%)
1998	1	0.2%
1990	1	0.2%
1902	1	0.2%
1828	1	0.2%
1744	1	0.2%
1701	1	0.2%
1626	1	0.2%
1620	1	0.2%
1596	1	0.2%
1576	1	0.2%

평형(세대수)
Text

MISSING

Distinct	467
Distinct (%)	99.4%
Missing	27
Missing (%)	5.4%
Memory size	4.0 KiB

Length

Max length	137
Median length	75
Mean length	19.593617
Min length	6

Characters and Unicode

Total characters	9209
Distinct characters	22
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	464 ?
Unique (%)	98.7%

Sample

1st row	24(639)
2nd row	24(120),32(180)
3rd row	54.54㎡(30),58.02㎡(5),64.44㎡(10)
4th row	59㎡(4),60㎡(4),62㎡(4),63㎡(15),66㎡(1),68㎡(2),73㎡(6),75㎡(3)
5th row	35(356),53(60)

Value	Count	Frequency (%)
25(59	2	0.4%
34(87),26(62	2	0.4%
33(342	2	0.4%
24(1239	1	0.2%
49(35),32(96),24(138	1	0.2%
51(190),44(120	1	0.2%
41(377),51(302),61(216	1	0.2%
24(639	1	0.2%
67(224	1	0.2%
36(152),51(80)57(80	1	0.2%
Other values (480)	480	97.4%

Most occurring characters

Value	Count	Frequency (%)
(	1172	12.7%
)	1172	12.7%
2	829	9.0%
3	812	8.8%
1	779	8.5%
4	771	8.4%
,	646	7.0%
5	536	5.8%
6	473	5.1%
8	438	4.8%
Other values (12)	1581	17.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5743	62.4%
Open Punctuation	1172	12.7%
Close Punctuation	1172	12.7%
Other Punctuation	808	8.8%
Other Symbol	274	3.0%
Space Separator	25	0.3%
Other Letter	12	0.1%
Dash Punctuation	3	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	829	14.4%
3	812	14.1%
1	779	13.6%
4	771	13.4%
5	536	9.3%
6	473	8.2%
8	438	7.6%
0	397	6.9%
7	356	6.2%
9	352	6.1%

Other Letter

Value	Count	Frequency (%)
이	4	33.3%
하	4	33.3%
초	2	16.7%
과	2	16.7%

Other Punctuation

Value	Count	Frequency (%)
,	646	80.0%
.	161	19.9%
*	1	0.1%

Open Punctuation

Value	Count	Frequency (%)
(	1172	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1172	100.0%

Other Symbol

Value	Count	Frequency (%)
㎡	274	100.0%

Space Separator

Value	Count	Frequency (%)
	25	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9197	99.9%
Hangul	12	0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
(	1172	12.7%
)	1172	12.7%
2	829	9.0%
3	812	8.8%
1	779	8.5%
4	771	8.4%
,	646	7.0%
5	536	5.8%
6	473	5.1%
8	438	4.8%
Other values (8)	1569	17.1%

Hangul

Value	Count	Frequency (%)
이	4	33.3%
하	4	33.3%
초	2	16.7%
과	2	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8923	96.9%
CJK Compat	274	3.0%
Hangul	12	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
(	1172	13.1%
)	1172	13.1%
2	829	9.3%
3	812	9.1%
1	779	8.7%
4	771	8.6%
,	646	7.2%
5	536	6.0%
6	473	5.3%
8	438	4.9%
Other values (7)	1295	14.5%

CJK Compat

Value	Count	Frequency (%)
㎡	274	100.0%

Hangul

Value	Count	Frequency (%)
이	4	33.3%
하	4	33.3%
초	2	16.7%
과	2	16.7%

대지면적
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	469
Distinct (%)	99.8%
Missing	27
Missing (%)	5.4%
Infinite	0
Infinite (%)	0.0%
Mean	29013.055

Minimum	699
Maximum	172102
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.5 KiB

Quantile statistics

Minimum	699
5-th percentile	3370.55
Q1	12748
median	23295.5
Q3	35300.75
95-th percentile	76779.2
Maximum	172102
Range	171403
Interquartile range (IQR)	22552.75

Descriptive statistics

Standard deviation	24451.484
Coefficient of variation (CV)	0.8427752
Kurtosis	6.0857397
Mean	29013.055
Median Absolute Deviation (MAD)	11074.5
Skewness	2.0863048
Sum	13636136
Variance	5.9787505 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1653	2	0.4%
35980	1	0.2%
89251	1	0.2%
5792	1	0.2%
114997	1	0.2%
93718	1	0.2%
31143	1	0.2%
54725	1	0.2%
57753	1	0.2%
34083	1	0.2%
Other values (459)	459	92.4%
(Missing)	27	5.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
699	1	0.2%
960	1	0.2%
1124	1	0.2%
1653	2	0.4%
1662	1	0.2%
1774	1	0.2%
1830	1	0.2%
2024	1	0.2%
2107	1	0.2%
2179	1	0.2%

Value	Count	Frequency (%)
172102	1	0.2%
144041	1	0.2%
142740	1	0.2%
128356	1	0.2%
128176	1	0.2%
126411	1	0.2%
117693	1	0.2%
114997	1	0.2%
112448	1	0.2%
102749	1	0.2%

건축면적
Real number (ℝ)

HIGH CORRELATION

Distinct	482
Distinct (%)	97.4%
Missing	2
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	4865.3535

Minimum	247
Maximum	62890
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.5 KiB

Quantile statistics

Minimum	247
5-th percentile	699.1
Q1	2248.5
median	3870
Q3	5898.5
95-th percentile	12715.4
Maximum	62890
Range	62643
Interquartile range (IQR)	3650

Descriptive statistics

Standard deviation	4826.9285
Coefficient of variation (CV)	0.99210232
Kurtosis	53.331266
Mean	4865.3535
Median Absolute Deviation (MAD)	1698
Skewness	5.500902
Sum	2408350
Variance	23299239
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2000	2	0.4%
9449	2	0.4%
3288	2	0.4%
2628	2	0.4%
3568	2	0.4%
1756	2	0.4%
12826	2	0.4%
1994	2	0.4%
2445	2	0.4%
4791	2	0.4%
Other values (472)	475	95.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
247	1	0.2%
320	1	0.2%
323	1	0.2%
324	1	0.2%
356	1	0.2%
377	1	0.2%
418	1	0.2%
419	1	0.2%
450	1	0.2%
453	1	0.2%

Value	Count	Frequency (%)
62890	1	0.2%
46630	1	0.2%
22484	1	0.2%
21874	1	0.2%
20997	1	0.2%
19266	1	0.2%
19264	1	0.2%
17076	1	0.2%
16600	1	0.2%
16049	1	0.2%

연면적
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	495
Distinct (%)	99.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	81008.513

Minimum	1098
Maximum	5938609
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.5 KiB

Quantile statistics

Minimum	1098
5-th percentile	4401
Q1	27430
median	55418
Q3	86752
95-th percentile	192985.2
Maximum	5938609
Range	5937511
Interquartile range (IQR)	59322

Descriptive statistics

Standard deviation	270624.12
Coefficient of variation (CV)	3.3406874
Kurtosis	444.90733
Mean	81008.513
Median Absolute Deviation (MAD)	29391
Skewness	20.545417
Sum	40261231
Variance	7.3237416 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
152928	2	0.4%
191987	2	0.4%
65037	1	0.2%
79166	1	0.2%
75727	1	0.2%
80134	1	0.2%
88014	1	0.2%
154522	1	0.2%
214793	1	0.2%
23057	1	0.2%
Other values (485)	485	97.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1098	1	0.2%
1253	1	0.2%
1278	1	0.2%
1538	1	0.2%
1557	1	0.2%
1619	1	0.2%
1874	1	0.2%
1918	1	0.2%
1933	1	0.2%
1961	1	0.2%

Value	Count	Frequency (%)
5938609	1	0.2%
433522	1	0.2%
368030	1	0.2%
351920	1	0.2%
325231	1	0.2%
323519	1	0.2%
321753	1	0.2%
309630	1	0.2%
291404	1	0.2%
283003	1	0.2%

관리사무소 전화번호
Text

MISSING

Distinct	421
Distinct (%)	96.1%
Missing	59
Missing (%)	11.9%
Memory size	4.0 KiB

Length

Max length	13
Median length	12
Mean length	12.013699
Min length	12

Characters and Unicode

Total characters	5262
Distinct characters	11
Distinct categories	2 ?
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	407 ?
Unique (%)	92.9%

Sample

1st row	031-321-2514
2nd row	031-321-4410
3rd row	031-322-5990
4th row	031-323-4500
5th row	031-323-5581

Value	Count	Frequency (%)
031-272-7522	3	0.7%
031-897-5598	3	0.7%
031-323-2450	3	0.7%
031-281-4373	2	0.5%
031-285-6056	2	0.5%
031-287-7445	2	0.5%
031-261-9122	2	0.5%
031-275-0136	2	0.5%
031-283-8182	2	0.5%
031-263-0894	2	0.5%
Other values (411)	415	94.7%

Most occurring characters

Value	Count	Frequency (%)
-	876	16.6%
3	787	15.0%
1	714	13.6%
0	708	13.5%
2	508	9.7%
6	368	7.0%
8	325	6.2%
5	268	5.1%
9	261	5.0%
7	239	4.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4386	83.4%
Dash Punctuation	876	16.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	787	17.9%
1	714	16.3%
0	708	16.1%
2	508	11.6%
6	368	8.4%
8	325	7.4%
5	268	6.1%
9	261	6.0%
7	239	5.4%
4	208	4.7%

Dash Punctuation

Value	Count	Frequency (%)
-	876	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5262	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	876	16.6%
3	787	15.0%
1	714	13.6%
0	708	13.5%
2	508	9.7%
6	368	7.0%
8	325	6.2%
5	268	5.1%
9	261	5.0%
7	239	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5262	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	876	16.6%
3	787	15.0%
1	714	13.6%
0	708	13.5%
2	508	9.7%
6	368	7.0%
8	325	6.2%
5	268	5.1%
9	261	5.0%
7	239	4.5%

비고
Categorical

HIGH CORRELATION IMBALANCE

Distinct	7
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

의무관리	376
비의무관리	93
국민임대(30년)	22
비의무(도시형)	3
50년 공공임대	1
Other values (2)	2

Length

Max length	9
Median length	4
Mean length	4.4527163
Min length	4

Unique

Unique	3 ?
Unique (%)	0.6%

Sample

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

Common Values

Value	Count	Frequency (%)
의무관리	376	75.7%
비의무관리	93	18.7%
국민임대(30년)	22	4.4%
비의무(도시형)	3	0.6%
50년 공공임대	1	0.2%
10년 공공임대	1	0.2%
임대(국민)	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
의무관리	376	75.4%
비의무관리	93	18.6%
국민임대(30년	22	4.4%
비의무(도시형	3	0.6%
공공임대	2	0.4%
50년	1	0.2%
10년	1	0.2%
임대(국민	1	0.2%

데이터기준일자
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

2014-02-27	497

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2014-02-27
2nd row	2014-02-27
3rd row	2014-02-27
4th row	2014-02-27
5th row	2014-02-27

Common Values

Value	Count	Frequency (%)
2014-02-27	497	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2014-02-27	497	100.0%

Heatmap
Table

	구분	동수	층수	세대수	대지면적	건축면적	연면적	비고
구분	1.000	0.133	0.086	0.307	0.134	0.000	0.000	1.000
동수	0.133	1.000	0.355	0.899	0.909	0.826	0.000	0.344
층수	0.086	0.355	1.000	0.679	0.590	0.234	0.000	0.539
세대수	0.307	0.899	0.679	1.000	0.885	0.709	0.000	0.560
대지면적	0.134	0.909	0.590	0.885	1.000	0.816	0.000	0.353
건축면적	0.000	0.826	0.234	0.709	0.816	1.000	0.000	0.080
연면적	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000
비고	1.000	0.344	0.539	0.560	0.353	0.080	0.000	1.000

Heatmap
Table

	구분	비고
구분	1.000	0.995
비고	0.995	1.000

Heatmap
Table

	동수	층수	세대수	대지면적	건축면적	연면적	구분	비고
동수	1.000	0.356	0.856	0.894	0.896	0.854	0.132	0.182
층수	0.356	1.000	0.557	0.422	0.379	0.576	0.065	0.309
세대수	0.856	0.557	1.000	0.891	0.857	0.900	0.233	0.324
대지면적	0.894	0.422	0.891	1.000	0.920	0.947	0.102	0.187
건축면적	0.896	0.379	0.857	0.920	1.000	0.918	0.000	0.049
연면적	0.854	0.576	0.900	0.947	0.918	1.000	0.000	0.000
구분	0.132	0.065	0.233	0.102	0.000	0.000	1.000	0.995
비고	0.182	0.309	0.324	0.187	0.049	0.000	0.995	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

	구분	위치	단지명	사용검사일	동수	층수	세대수	평형(세대수)	대지면적	건축면적	연면적	관리사무소 전화번호	비고	데이터기준일자
0	분양아파트	처인구 고림동 264-8	인정 피렌체 빌리지 1차	2000-01-15	10	15	639	24(639)	26904	4926	66395	031-321-2514	의무관리	2014-02-27
1	분양아파트	처인구 고림동 411-1	이삭아파트	1998-12-24	4	20	300	24(120),32(180)	12173	2229	33720	031-321-4410	의무관리	2014-02-27
2	분양아파트	처인구 고림동 748-6 ,748-11	<NA>	1990-02-23	3	5	45	54.54㎡(30),58.02㎡(5),64.44㎡(10)	<NA>	585	3458	<NA>	비의무관리	2014-02-27
3	분양아파트	처인구 고림동 794-29	용성빌라	1986-11-21	3	3	39	59㎡(4),60㎡(4),62㎡(4),63㎡(15),66㎡(1),68㎡(2),73㎡(6),75㎡(3)	<NA>	764	3058	<NA>	비의무관리	2014-02-27
4	분양아파트	처인구 고림동 995	예진마을 2차아파트	2001-04-20	8	15	416	35(356),53(60)	27627	4608	63908	031-322-5990	의무관리	2014-02-27
5	분양아파트	처인구 고림동 996	임원마을 영화1차 아파트	2002-06-26	6	18	513	25(162),31(211)33(140)	24463	4084	60879	031-323-4500	의무관리	2014-02-27
6	분양아파트	처인구 고림동 997	예진마을 3차아파트	2003-07-01	10	15	516	25(280),33(236)	29404	4225	68029	031-323-5581	의무관리	2014-02-27
7	분양아파트	처인구 고림동 1000	금평마을 영화2차아파트	2003-12-23	6	15	428	32(280),38(28),41(120)	25835	4485	62015	031-332-5319	의무관리	2014-02-27
8	분양아파트	처인구 고림동 1001	보평마을 삼정그린뷰아파트	2004-04-30	7	15	360	29(80),33(280)	20069	3736	45545	031-323-0141	의무관리	2014-02-27
9	분양아파트	처인구 고림동 1002	예원마을 코아루아파트	2004-12-08	7	15	408	24(90),34(318)	27164	3801	53249	031-323-5221	의무관리	2014-02-27

	구분	위치	단지명	사용검사일	동수	층수	세대수	평형(세대수)	대지면적	건축면적	연면적	관리사무소 전화번호	비고	데이터기준일자
487	임대아파트	기흥구 청덕동 503	구성 물푸레마을 휴먼시아 5단지	2008-06-03	11	20	712	17(252),20(318),25(142)	26853	4973	59403	031-8005-7487	국민임대(30년)	2014-02-27
488	임대아파트	기흥구 청덕동 506	구성 물푸레마을 휴먼시아 2단지	2008-06-03	6	18	389	85이하(389)	15755	2942	31913	031-693-6430	국민임대(30년)	2014-02-27
489	임대아파트	기흥구 청덕동 513	구성 물푸레마을 휴먼시아 1단지	2008-07-16	8	15	618	17(266),20(266),21(86)	27635	4367	49693	031-8005-8620	국민임대(30년)	2014-02-27
490	임대아파트	기흥구 청덕동 569	구성 물푸레마을 휴먼시아 9단지	2008-09-11	13	20	948	17(282),20(216),21(336),25(114)	42985	6010	81190	031-275-2192	국민임대(30년)	2014-02-27
491	임대아파트	기흥구 영덕동 1069	흥덕마을 12단지 신동아파밀리에	2009-10-29	14	20	759	42(280)46(180),49(146)52(153)	65816	8747	175370	031-212-7946	10년 공공임대	2014-02-27
492	임대아파트	수지구 죽전1동 1226	내대지마을 주공2단지아파트	2005-07-20	2	15	136	18(136)	6345	11068	11068	031-892-0280	국민임대(30년)	2014-02-27
493	임대아파트	수지구 죽전1동 1233	성현마을 주공3단지아파트	2005-07-20	6	15	388	26(388)	18183	2741	33546	031-891-0138	국민임대(30년)	2014-02-27
494	임대아파트	수지구 죽전1동 1279	도담마을 주공8단지아파트	2005-08-05	7	15	643	16(177),19(230)25(236)	30168	4227	53748	031-891-0244	국민임대(30년)	2014-02-27
495	임대아파트	수지구 죽전1동 1367	내대지마을 주공아파트(임대)	2006-04-17	3	13	225	17(113),20(112)	12069	1535	17645	031-889-5405	임대(국민)	2014-02-27
496	임대아파트	수지구 상현1동 1135(광교A30BL) -수지구 상현동 광교마을 90	휴먼시아아파트(광교)	2011-11-16	9	25	1117	<NA>	48508	7028	86832	031-265-6083	국민임대(30년)	2014-02-27

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Han

Most occurring blocks

Most frequent character per block

ASCII

Hangul

CJK

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Dash Punctuation

Letter Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Number Forms

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Letter

Other Punctuation

Open Punctuation

Close Punctuation

Other Symbol

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Hangul

Most occurring blocks

Most frequent character per block

ASCII

CJK Compat

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII