gimi9 Pandas Profiling

Dataset statistics

Number of variables	44
Number of observations	30
Missing cells	81
Missing cells (%)	6.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	10.8 KiB
Average record size in memory	369.4 B

Variable types

Text	12
Categorical	15
Unsupported	2
Numeric	11
Boolean	4

Dataset

Description	샘플 데이터
Author	KB국민은행
URL	https://bigdata.seoul.go.kr/data/selectSampleData.do?sample_data_seq=1

Alerts

`시도명` has constant value ""	Constant
`분양권여부` has constant value ""	Constant
`리모델링여부` has constant value ""	Constant
`주상복합여부` is highly imbalanced (78.9%)	Imbalance
`빌라연립여부` is highly imbalanced (78.9%)	Imbalance
`동사무소명` is highly imbalanced (59.9%)	Imbalance
`소방서명` is highly imbalanced (73.5%)	Imbalance
`은행명` is highly imbalanced (64.1%)	Imbalance
`스포츠센터명` is highly imbalanced (52.0%)	Imbalance
`좌석버스번호` is highly imbalanced (64.1%)	Imbalance
`구명` has 30 (100.0%) missing values	Missing
`리명` has 30 (100.0%) missing values	Missing
`건설업체명` has 5 (16.7%) missing values	Missing
`단지특성` has 16 (53.3%) missing values	Missing
`부동산물건uid` has unique values	Unique
`번지` has unique values	Unique
`아파트명` has unique values	Unique
`총세대수` has unique values	Unique
`우편번호` has unique values	Unique
`단지좌표X값` has unique values	Unique
`단지좌표Y값` has unique values	Unique
`구명` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`리명` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`준공연월` has 1 (3.3%) zeros	Zeros
`주차대수` has 9 (30.0%) zeros	Zeros

Reproduction

Analysis started	2023-12-10 14:51:23.421986
Analysis finished	2023-12-10 14:51:24.549432
Duration	1.13 second
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

부동산물건uid
Text

UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	270
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	30 ?
Unique (%)	100.0%

Sample

1st row	KBA013357
2nd row	KBA010740
3rd row	KBA023933
4th row	KBA014516
5th row	KBA021376

Value	Count	Frequency (%)
kba013357	1	3.3%
kba010740	1	3.3%
kba017483	1	3.3%
kba019167	1	3.3%
kba016209	1	3.3%
kba008372	1	3.3%
kba011630	1	3.3%
kba000361	1	3.3%
kba001221	1	3.3%
kba009210	1	3.3%
Other values (20)	20	66.7%

Most occurring characters

Value	Count	Frequency (%)
0	62	23.0%
K	30	11.1%
B	30	11.1%
A	30	11.1%
1	28	10.4%
6	18	6.7%
3	15	5.6%
2	14	5.2%
7	11	4.1%
8	9	3.3%
Other values (3)	23	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	180	66.7%
Uppercase Letter	90	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	62	34.4%
1	28	15.6%
6	18	10.0%
3	15	8.3%
2	14	7.8%
7	11	6.1%
8	9	5.0%
4	8	4.4%
9	8	4.4%
5	7	3.9%

Uppercase Letter

Value	Count	Frequency (%)
K	30	33.3%
B	30	33.3%
A	30	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	180	66.7%
Latin	90	33.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	62	34.4%
1	28	15.6%
6	18	10.0%
3	15	8.3%
2	14	7.8%
7	11	6.1%
8	9	5.0%
4	8	4.4%
9	8	4.4%
5	7	3.9%

Latin

Value	Count	Frequency (%)
K	30	33.3%
B	30	33.3%
A	30	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	270	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	62	23.0%
K	30	11.1%
B	30	11.1%
A	30	11.1%
1	28	10.4%
6	18	6.7%
3	15	5.6%
2	14	5.2%
7	11	4.1%
8	9	3.3%
Other values (3)	23	8.5%

시도명
Categorical

CONSTANT

Distinct	1
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

서울특별시	30

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
서울특별시	30	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
서울특별시	30	100.0%

시군구명
Text

Distinct	19
Distinct (%)	63.3%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

Length

Max length	4
Median length	3
Mean length	3.1666667
Min length	3

Characters and Unicode

Total characters	95
Distinct characters	29
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	11 ?
Unique (%)	36.7%

Sample

1st row	도봉구
2nd row	송파구
3rd row	성동구
4th row	동작구
5th row	서초구

Value	Count	Frequency (%)
송파구	4	13.3%
영등포구	3	10.0%
도봉구	2	6.7%
양천구	2	6.7%
강동구	2	6.7%
강남구	2	6.7%
마포구	2	6.7%
성동구	2	6.7%
중랑구	1	3.3%
동대문구	1	3.3%
Other values (9)	9	30.0%

Most occurring characters

Value	Count	Frequency (%)
구	30	31.6%
강	6	6.3%
동	6	6.3%
포	5	5.3%
송	4	4.2%
파	4	4.2%
서	3	3.2%
성	3	3.2%
영	3	3.2%
등	3	3.2%
Other values (19)	28	29.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	95	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
구	30	31.6%
강	6	6.3%
동	6	6.3%
포	5	5.3%
송	4	4.2%
파	4	4.2%
서	3	3.2%
성	3	3.2%
영	3	3.2%
등	3	3.2%
Other values (19)	28	29.5%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	95	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
구	30	31.6%
강	6	6.3%
동	6	6.3%
포	5	5.3%
송	4	4.2%
파	4	4.2%
서	3	3.2%
성	3	3.2%
영	3	3.2%
등	3	3.2%
Other values (19)	28	29.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	95	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
구	30	31.6%
강	6	6.3%
동	6	6.3%
포	5	5.3%
송	4	4.2%
파	4	4.2%
서	3	3.2%
성	3	3.2%
영	3	3.2%
등	3	3.2%
Other values (19)	28	29.5%

구명
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	30
Missing (%)	100.0%
Memory size	402.0 B

읍면동명
Text

Distinct	26
Distinct (%)	86.7%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

Length

Max length	5
Median length	3
Mean length	3.0333333
Min length	2

Characters and Unicode

Total characters	91
Distinct characters	44
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	22 ?
Unique (%)	73.3%

Sample

1st row	공릉동
2nd row	염창동
3rd row	서초동
4th row	한강로3가
5th row	목동

Value	Count	Frequency (%)
서초동	2	6.7%
신월동	2	6.7%
목동	2	6.7%
신정동	2	6.7%
삼성동	1	3.3%
공릉동	1	3.3%
신내동	1	3.3%
명일동	1	3.3%
상일동	1	3.3%
항동	1	3.3%
Other values (16)	16	53.3%

Most occurring characters

Value	Count	Frequency (%)
동	28	30.8%
신	5	5.5%
월	3	3.3%
내	3	3.3%
서	2	2.2%
로	2	2.2%
성	2	2.2%
상	2	2.2%
초	2	2.2%
홍	2	2.2%
Other values (34)	40	44.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	89	97.8%
Decimal Number	2	2.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	28	31.5%
신	5	5.6%
월	3	3.4%
내	3	3.4%
서	2	2.2%
로	2	2.2%
성	2	2.2%
상	2	2.2%
초	2	2.2%
홍	2	2.2%
Other values (32)	38	42.7%

Decimal Number

Value	Count	Frequency (%)
1	1	50.0%
3	1	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	89	97.8%
Common	2	2.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	28	31.5%
신	5	5.6%
월	3	3.4%
내	3	3.4%
서	2	2.2%
로	2	2.2%
성	2	2.2%
상	2	2.2%
초	2	2.2%
홍	2	2.2%
Other values (32)	38	42.7%

Common

Value	Count	Frequency (%)
1	1	50.0%
3	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	89	97.8%
ASCII	2	2.2%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	28	31.5%
신	5	5.6%
월	3	3.4%
내	3	3.4%
서	2	2.2%
로	2	2.2%
성	2	2.2%
상	2	2.2%
초	2	2.2%
홍	2	2.2%
Other values (32)	38	42.7%

ASCII

Value	Count	Frequency (%)
1	1	50.0%
3	1	50.0%

리명
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	30
Missing (%)	100.0%
Memory size	402.0 B

번지
Text

UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

Length

Max length	10
Median length	9.5
Mean length	4.5666667
Min length	2

Characters and Unicode

Total characters	137
Distinct characters	15
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	30 ?
Unique (%)	100.0%

Sample

1st row	384
2nd row	1029
3rd row	1714
4th row	877
5th row	412-3

Value	Count	Frequency (%)
384	1	3.0%
77	1	3.0%
974	1	3.0%
611	1	3.0%
463외1필지	1	3.0%
450	1	3.0%
970	1	3.0%
746	1	3.0%
454	1	3.0%
366	1	3.0%
Other values (23)	23	69.7%

Most occurring characters

Value	Count	Frequency (%)
1	21	15.3%
4	16	11.7%
7	11	8.0%
8	10	7.3%
0	10	7.3%
2	10	7.3%
3	9	6.6%
6	9	6.6%
-	8	5.8%
5	8	5.8%
Other values (5)	25	18.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	108	78.8%
Other Letter	18	13.1%
Dash Punctuation	8	5.8%
Space Separator	3	2.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	21	19.4%
4	16	14.8%
7	11	10.2%
8	10	9.3%
0	10	9.3%
2	10	9.3%
3	9	8.3%
6	9	8.3%
5	8	7.4%
9	4	3.7%

Other Letter

Value	Count	Frequency (%)
외	6	33.3%
필	6	33.3%
지	6	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	119	86.9%
Hangul	18	13.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	21	17.6%
4	16	13.4%
7	11	9.2%
8	10	8.4%
0	10	8.4%
2	10	8.4%
3	9	7.6%
6	9	7.6%
-	8	6.7%
5	8	6.7%
Other values (2)	7	5.9%

Hangul

Value	Count	Frequency (%)
외	6	33.3%
필	6	33.3%
지	6	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	119	86.9%
Hangul	18	13.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	21	17.6%
4	16	13.4%
7	11	9.2%
8	10	8.4%
0	10	8.4%
2	10	8.4%
3	9	7.6%
6	9	7.6%
-	8	6.7%
5	8	6.7%
Other values (2)	7	5.9%

Hangul

Value	Count	Frequency (%)
외	6	33.3%
필	6	33.3%
지	6	33.3%

기타번지
Categorical

Distinct	12
Distinct (%)	40.0%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

	19
746	1
106-133	1
1344,1344-1,1344-3	1
988-5,991-1	1
Other values (7)	7

Length

Max length	23
Median length	1
Mean length	5.0333333
Min length	1

Unique

Unique	11 ?
Unique (%)	36.7%

Sample

1st row
2nd row
3rd row
4th row
5th row	746

Common Values

Value	Count	Frequency (%)
	19	63.3%
746	1	3.3%
106-133	1	3.3%
1344,1344-1,1344-3	1	3.3%
988-5,991-1	1	3.3%
1-15, 1-16,1-17,1-18	1	3.3%
576-1	1	3.3%
776-3,776-4	1	3.3%
(종전27-1)	1	3.3%
401	1	3.3%
Other values (2)	2	6.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
746	1	7.1%
106-133	1	7.1%
1344,1344-1,1344-3	1	7.1%
988-5,991-1	1	7.1%
1-15	1	7.1%
1-16,1-17,1-18	1	7.1%
576-1	1	7.1%
776-3,776-4	1	7.1%
종전27-1	1	7.1%
401	1	7.1%
Other values (4)	4	28.6%

아파트명
Text

UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

Length

Max length	14
Median length	10
Mean length	7.0666667
Min length	2

Characters and Unicode

Total characters	212
Distinct characters	70
Distinct categories	6 ?
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	30 ?
Unique (%)	100.0%

Sample

1st row	브운톤도
2nd row	개우2*
3rd row	창쌍(차
4th row	경*
5th row	신포한2차*

Value	Count	Frequency (%)
브운톤*도	1	3.3%
개우2	1	3.3%
삼동성*니	1	3.3%
보매오하채	1	3.3%
한(차	1	3.3%
수산원*자	1	3.3%
현*2	1	3.3%
송센레	1	3.3%
고	1	3.3%
g강자	1	3.3%
Other values (20)	20	66.7%

Most occurring characters

Value	Count	Frequency (%)
*	106	50.0%
2	4	1.9%
미	4	1.9%
(	4	1.9%
차	4	1.9%
빌	3	1.4%
지	3	1.4%
동	3	1.4%
삼	2	0.9%
서	2	0.9%
Other values (60)	77	36.3%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	107	50.5%
Other Letter	92	43.4%
Decimal Number	6	2.8%
Open Punctuation	4	1.9%
Close Punctuation	2	0.9%
Uppercase Letter	1	0.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
미	4	4.3%
차	4	4.3%
빌	3	3.3%
지	3	3.3%
동	3	3.3%
삼	2	2.2%
서	2	2.2%
자	2	2.2%
성	2	2.2%
현	2	2.2%
Other values (52)	65	70.7%

Decimal Number

Value	Count	Frequency (%)
2	4	66.7%
1	1	16.7%
4	1	16.7%

Other Punctuation

Value	Count	Frequency (%)
*	106	99.1%
.	1	0.9%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Uppercase Letter

Value	Count	Frequency (%)
G	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	119	56.1%
Hangul	92	43.4%
Latin	1	0.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
미	4	4.3%
차	4	4.3%
빌	3	3.3%
지	3	3.3%
동	3	3.3%
삼	2	2.2%
서	2	2.2%
자	2	2.2%
성	2	2.2%
현	2	2.2%
Other values (52)	65	70.7%

Common

Value	Count	Frequency (%)
*	106	89.1%
2	4	3.4%
(	4	3.4%
)	2	1.7%
1	1	0.8%
.	1	0.8%
4	1	0.8%

Latin

Value	Count	Frequency (%)
G	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	120	56.6%
Hangul	92	43.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
*	106	88.3%
2	4	3.3%
(	4	3.3%
)	2	1.7%
1	1	0.8%
G	1	0.8%
.	1	0.8%
4	1	0.8%

Hangul

Value	Count	Frequency (%)
미	4	4.3%
차	4	4.3%
빌	3	3.3%
지	3	3.3%
동	3	3.3%
삼	2	2.2%
서	2	2.2%
자	2	2.2%
성	2	2.2%
현	2	2.2%
Other values (52)	65	70.7%

총세대수
Real number (ℝ)

UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	463.7

Minimum	60
Maximum	2282
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	60
5-th percentile	65.6
Q1	156
median	305.5
Q3	568.25
95-th percentile	1284.85
Maximum	2282
Range	2222
Interquartile range (IQR)	412.25

Descriptive statistics

Standard deviation	489.87712
Coefficient of variation (CV)	1.0564527
Kurtosis	5.6568456
Mean	463.7
Median Absolute Deviation (MAD)	193.5
Skewness	2.1860661
Sum	13911
Variance	239979.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
270	1	3.3%
312	1	3.3%
162	1	3.3%
298	1	3.3%
80	1	3.3%
154	1	3.3%
362	1	3.3%
62	1	3.3%
1297	1	3.3%
416	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
60	1	3.3%
62	1	3.3%
70	1	3.3%
80	1	3.3%
88	1	3.3%
98	1	3.3%
126	1	3.3%
154	1	3.3%
162	1	3.3%
192	1	3.3%

Value	Count	Frequency (%)
2282	1	3.3%
1297	1	3.3%
1270	1	3.3%
1070	1	3.3%
893	1	3.3%
845	1	3.3%
625	1	3.3%
583	1	3.3%
524	1	3.3%
416	1	3.3%

총동수
Real number (ℝ)

Distinct	12
Distinct (%)	40.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.5

Minimum	1
Maximum	18
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2.5
Q3	6
95-th percentile	12.55
Maximum	18
Range	17
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	4.4236823
Coefficient of variation (CV)	0.98304052
Kurtosis	1.7814283
Mean	4.5
Median Absolute Deviation (MAD)	1.5
Skewness	1.4903479
Sum	135
Variance	19.568966
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	10	33.3%
2	5	16.7%
4	3	10.0%
6	3	10.0%
3	2	6.7%
13	1	3.3%
12	1	3.3%
11	1	3.3%
8	1	3.3%
10	1	3.3%
Other values (2)	2	6.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	10	33.3%
2	5	16.7%
3	2	6.7%
4	3	10.0%
6	3	10.0%
7	1	3.3%
8	1	3.3%
10	1	3.3%
11	1	3.3%
12	1	3.3%

Value	Count	Frequency (%)
18	1	3.3%
13	1	3.3%
12	1	3.3%
11	1	3.3%
10	1	3.3%
8	1	3.3%
7	1	3.3%
6	3	10.0%
4	3	10.0%
3	2	6.7%

단지최고층
Real number (ℝ)

Distinct	14
Distinct (%)	46.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.566667

Minimum	6
Maximum	25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	6
5-th percentile	10.9
Q1	15
median	16.5
Q3	21.75
95-th percentile	25
Maximum	25
Range	19
Interquartile range (IQR)	6.75

Descriptive statistics

Standard deviation	4.889703
Coefficient of variation (CV)	0.27835121
Kurtosis	-0.36280611
Mean	17.566667
Median Absolute Deviation (MAD)	2.5
Skewness	-0.040824468
Sum	527
Variance	23.909195
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
15	8	26.7%
25	4	13.3%
19	3	10.0%
18	2	6.7%
22	2	6.7%
24	2	6.7%
13	2	6.7%
14	1	3.3%
12	1	3.3%
16	1	3.3%
Other values (4)	4	13.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	3.3%
10	1	3.3%
12	1	3.3%
13	2	6.7%
14	1	3.3%
15	8	26.7%
16	1	3.3%
17	1	3.3%
18	2	6.7%
19	3	10.0%

Value	Count	Frequency (%)
25	4	13.3%
24	2	6.7%
22	2	6.7%
21	1	3.3%
19	3	10.0%
18	2	6.7%
17	1	3.3%
16	1	3.3%
15	8	26.7%
14	1	3.3%

단지최저층
Real number (ℝ)

Distinct	14
Distinct (%)	46.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.8

Minimum	4
Maximum	22
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	4
5-th percentile	4.45
Q1	6.25
median	11.5
Q3	15
95-th percentile	21.55
Maximum	22
Range	18
Interquartile range (IQR)	8.75

Descriptive statistics

Standard deviation	5.7739009
Coefficient of variation (CV)	0.48931363
Kurtosis	-1.0424314
Mean	11.8
Median Absolute Deviation (MAD)	4.5
Skewness	0.28873371
Sum	354
Variance	33.337931
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
5	5	16.7%
15	4	13.3%
9	3	10.0%
10	3	10.0%
13	3	10.0%
22	2	6.7%
21	2	6.7%
4	2	6.7%
6	1	3.3%
17	1	3.3%
Other values (4)	4	13.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	2	6.7%
5	5	16.7%
6	1	3.3%
7	1	3.3%
9	3	10.0%
10	3	10.0%
13	3	10.0%
14	1	3.3%
15	4	13.3%
16	1	3.3%

Value	Count	Frequency (%)
22	2	6.7%
21	2	6.7%
19	1	3.3%
17	1	3.3%
16	1	3.3%
15	4	13.3%
14	1	3.3%
13	3	10.0%
10	3	10.0%
9	3	10.0%

준공연월
Real number (ℝ)

ZEROS

Distinct	29
Distinct (%)	96.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	193234.63

Minimum	0
Maximum	201406
Zeros	1
Zeros (%)	3.3%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	0
5-th percentile	197944.35
Q1	199604.5
median	200011
Q3	200404.5
95-th percentile	201109.75
Maximum	201406
Range	201406
Interquartile range (IQR)	800

Descriptive statistics

Standard deviation	36506.168
Coefficient of variation (CV)	0.18892145
Kurtosis	29.963715
Mean	193234.63
Median Absolute Deviation (MAD)	400.5
Skewness	-5.4724296
Sum	5797039
Variance	1.3327003 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
199912	2	6.7%
201112	1	3.3%
200403	1	3.3%
200109	1	3.3%
198809	1	3.3%
200411	1	3.3%
198607	1	3.3%
199712	1	3.3%
200405	1	3.3%
199905	1	3.3%
Other values (19)	19	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	3.3%
197403	1	3.3%
198606	1	3.3%
198607	1	3.3%
198806	1	3.3%
198808	1	3.3%
198809	1	3.3%
199604	1	3.3%
199606	1	3.3%
199708	1	3.3%

Value	Count	Frequency (%)
201406	1	3.3%
201112	1	3.3%
201107	1	3.3%
200512	1	3.3%
200506	1	3.3%
200412	1	3.3%
200411	1	3.3%
200405	1	3.3%
200403	1	3.3%
200312	1	3.3%

건설업체명
Text

MISSING

Distinct	22
Distinct (%)	88.0%
Missing	5
Missing (%)	16.7%
Memory size	372.0 B

Length

Max length	6
Median length	4
Mean length	4.24
Min length	2

Characters and Unicode

Total characters	106
Distinct characters	30
Distinct categories	3 ?
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	19 ?
Unique (%)	76.0%

Sample

1st row	코롱설*
2nd row	삼건
3rd row	대건
4th row	월건
5th row	동건

Value	Count	Frequency (%)
현산개	2	8.0%
대*건	2	8.0%
삼*건	2	8.0%
영*산	1	4.0%
코롱설	1	4.0%
대	1	4.0%
삼*물	1	4.0%
극*건	1	4.0%
동고건	1	4.0%
s*공	1	4.0%
Other values (12)	12	48.0%

Most occurring characters

Value	Count	Frequency (%)
*	53	50.0%
건	15	14.2%
삼	4	3.8%
대	3	2.8%
산	3	2.8%
현	2	1.9%
동	2	1.9%
개	2	1.9%
설	1	0.9%
롱	1	0.9%
Other values (20)	20	18.9%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	53	50.0%
Other Letter	52	49.1%
Uppercase Letter	1	0.9%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
건	15	28.8%
삼	4	7.7%
대	3	5.8%
산	3	5.8%
현	2	3.8%
동	2	3.8%
개	2	3.8%
설	1	1.9%
롱	1	1.9%
명	1	1.9%
Other values (18)	18	34.6%

Other Punctuation

Value	Count	Frequency (%)
*	53	100.0%

Uppercase Letter

Value	Count	Frequency (%)
S	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	53	50.0%
Hangul	52	49.1%
Latin	1	0.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
건	15	28.8%
삼	4	7.7%
대	3	5.8%
산	3	5.8%
현	2	3.8%
동	2	3.8%
개	2	3.8%
설	1	1.9%
롱	1	1.9%
명	1	1.9%
Other values (18)	18	34.6%

Common

Value	Count	Frequency (%)
*	53	100.0%

Latin

Value	Count	Frequency (%)
S	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	54	50.9%
Hangul	52	49.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
*	53	98.1%
S	1	1.9%

Hangul

Value	Count	Frequency (%)
건	15	28.8%
삼	4	7.7%
대	3	5.8%
산	3	5.8%
현	2	3.8%
동	2	3.8%
개	2	3.8%
설	1	1.9%
롱	1	1.9%
명	1	1.9%
Other values (18)	18	34.6%

난방방식
Categorical

Distinct	3
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

개별	24
중앙	3
지역	3

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	중앙
2nd row	개별
3rd row	지역
4th row	개별
5th row	개별

Common Values

Value	Count	Frequency (%)
개별	24	80.0%
중앙	3	10.0%
지역	3	10.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
개별	24	80.0%
중앙	3	10.0%
지역	3	10.0%

난방연료
Categorical

Distinct	2
Distinct (%)	6.7%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

도시가스	23
열병합	7

Length

Max length	4
Median length	4
Mean length	3.7666667
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
도시가스	23	76.7%
열병합	7	23.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
도시가스	23	76.7%
열병합	7	23.3%

주차대수
Real number (ℝ)

ZEROS

Distinct	19
Distinct (%)	63.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	265.73333

Minimum	0
Maximum	1110
Zeros	9
Zeros (%)	30.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	208
Q3	323.75
95-th percentile	1005.15
Maximum	1110
Range	1110
Interquartile range (IQR)	323.75

Descriptive statistics

Standard deviation	312.32454
Coefficient of variation (CV)	1.1753307
Kurtosis	2.1261263
Mean	265.73333
Median Absolute Deviation (MAD)	193.5
Skewness	1.5749984
Sum	7972
Variance	97546.616
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
0	9	30.0%
84	2	6.7%
300	2	6.7%
1110	2	6.7%
459	1	3.3%
54	1	3.3%
624	1	3.3%
877	1	3.3%
468	1	3.3%
107	1	3.3%
Other values (9)	9	30.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9	30.0%
54	1	3.3%
84	2	6.7%
107	1	3.3%
137	1	3.3%
200	1	3.3%
216	1	3.3%
220	1	3.3%
276	1	3.3%
300	2	6.7%

Value	Count	Frequency (%)
1110	2	6.7%
877	1	3.3%
624	1	3.3%
468	1	3.3%
459	1	3.3%
387	1	3.3%
325	1	3.3%
320	1	3.3%
314	1	3.3%
300	2	6.7%

관리사무소전화번호
Text

Distinct	22
Distinct (%)	73.3%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

Length

Max length	12
Median length	11
Mean length	8.2666667
Min length	1

Characters and Unicode

Total characters	248
Distinct characters	13
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	21 ?
Unique (%)	70.0%

Sample

1st row	02-7-54
2nd row	02-27-63
3rd row	02-2-09
4th row	02-9-79
5th row	02-5-76

Value	Count	Frequency (%)
02-7-54	1	4.8%
02-63-45	1	4.8%
02-5-52	1	4.8%
02-6-71	1	4.8%
02-6-16	1	4.8%
02-93-68	1	4.8%
02-5-95	1	4.8%
02-6-77	1	4.8%
02-6-63	1	4.8%
02-71-33	1	4.8%
Other values (11)	11	52.4%

Most occurring characters

Value	Count	Frequency (%)
*	84	33.9%
-	42	16.9%
2	27	10.9%
0	25	10.1%
7	13	5.2%
6	11	4.4%
3	10	4.0%
	9	3.6%
5	7	2.8%
9	7	2.8%
Other values (3)	13	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	113	45.6%
Other Punctuation	84	33.9%
Dash Punctuation	42	16.9%
Space Separator	9	3.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	27	23.9%
0	25	22.1%
7	13	11.5%
6	11	9.7%
3	10	8.8%
5	7	6.2%
9	7	6.2%
1	7	6.2%
4	5	4.4%
8	1	0.9%

Other Punctuation

Value	Count	Frequency (%)
*	84	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	42	100.0%

Space Separator

Value	Count	Frequency (%)
	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	248	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
*	84	33.9%
-	42	16.9%
2	27	10.9%
0	25	10.1%
7	13	5.2%
6	11	4.4%
3	10	4.0%
	9	3.6%
5	7	2.8%
9	7	2.8%
Other values (3)	13	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	248	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
*	84	33.9%
-	42	16.9%
2	27	10.9%
0	25	10.1%
7	13	5.2%
6	11	4.4%
3	10	4.0%
	9	3.6%
5	7	2.8%
9	7	2.8%
Other values (3)	13	5.2%

분양권여부
Boolean

CONSTANT

Distinct	1
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	162.0 B

False	30

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	30	100.0%

입주년월
Real number (ℝ)

Distinct	29
Distinct (%)	96.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	199587.87

Minimum	197010
Maximum	201607
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	197010
5-th percentile	197109.9
Q1	198935.25
median	199906
Q3	200280
95-th percentile	201067.8
Maximum	201607
Range	4597
Interquartile range (IQR)	1344.75

Descriptive statistics

Standard deviation	1158.1543
Coefficient of variation (CV)	0.0058027288
Kurtosis	0.4060303
Mean	199587.87
Median Absolute Deviation (MAD)	553.5
Skewness	-0.84037637
Sum	5987636
Variance	1341321.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
199708	2	6.7%
200103	1	3.3%
197109	1	3.3%
199011	1	3.3%
199206	1	3.3%
199610	1	3.3%
200905	1	3.3%
198407	1	3.3%
197111	1	3.3%
198906	1	3.3%
Other values (19)	19	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
197010	1	3.3%
197109	1	3.3%
197111	1	3.3%
198012	1	3.3%
198407	1	3.3%
198810	1	3.3%
198906	1	3.3%
198910	1	3.3%
199011	1	3.3%
199206	1	3.3%

Value	Count	Frequency (%)
201607	1	3.3%
201201	1	3.3%
200905	1	3.3%
200704	1	3.3%
200511	1	3.3%
200408	1	3.3%
200311	1	3.3%
200303	1	3.3%
200211	1	3.3%
200205	1	3.3%

단지특성
Text

MISSING

Distinct	14
Distinct (%)	100.0%
Missing	16
Missing (%)	53.3%
Memory size	372.0 B

Length

Max length	60
Median length	57
Mean length	47.785714
Min length	15

Characters and Unicode

Total characters	669
Distinct characters	101
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	14 ?
Unique (%)	100.0%

Sample

1st row	2 역보분최 (고상,덕) 산남조,심전
2nd row	1%주,선호1 철망
3rd row	신와인인 대향 평로성쾌 단동리인도접
4th row	조고차 움**
5th row	남한망최복파건**

Value	Count	Frequency (%)
	11	19.6%
8	2	3.6%
2	1	1.8%
h	1	1.8%
도역보	1	1.8%
초	1	1.8%
백	1	1.8%
용구위획정업관주건사정**업	1	1.8%
083)류	1	1.8%
총수6대분	1	1.8%
Other values (35)	35	62.5%

Most occurring characters

Value	Count	Frequency (%)
*	447	66.8%
	42	6.3%
,	8	1.2%
1	6	0.9%
인	5	0.7%
대	5	0.7%
8	5	0.7%
0	5	0.7%
단	4	0.6%
조	4	0.6%
Other values (91)	138	20.6%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	461	68.9%
Other Letter	131	19.6%
Space Separator	42	6.3%
Decimal Number	25	3.7%
Open Punctuation	4	0.6%
Close Punctuation	3	0.4%
Dash Punctuation	1	0.1%
Uppercase Letter	1	0.1%
Math Symbol	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
인	5	3.8%
대	5	3.8%
단	4	3.1%
조	4	3.1%
전	4	3.1%
고	4	3.1%
지	3	2.3%
세	3	2.3%
산	3	2.3%
분	3	2.3%
Other values (71)	93	71.0%

Decimal Number

Value	Count	Frequency (%)
1	6	24.0%
8	5	20.0%
0	5	20.0%
2	2	8.0%
5	2	8.0%
6	2	8.0%
3	2	8.0%
4	1	4.0%

Other Punctuation

Value	Count	Frequency (%)
*	447	97.0%
,	8	1.7%
.	3	0.7%
:	1	0.2%
%	1	0.2%
!	1	0.2%

Space Separator

Value	Count	Frequency (%)
	42	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Uppercase Letter

Value	Count	Frequency (%)
H	1	100.0%

Math Symbol

Value	Count	Frequency (%)
~	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	537	80.3%
Hangul	131	19.6%
Latin	1	0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
인	5	3.8%
대	5	3.8%
단	4	3.1%
조	4	3.1%
전	4	3.1%
고	4	3.1%
지	3	2.3%
세	3	2.3%
산	3	2.3%
분	3	2.3%
Other values (71)	93	71.0%

Common

Value	Count	Frequency (%)
*	447	83.2%
	42	7.8%
,	8	1.5%
1	6	1.1%
8	5	0.9%
0	5	0.9%
(	4	0.7%
.	3	0.6%
)	3	0.6%
2	2	0.4%
Other values (9)	12	2.2%

Latin

Value	Count	Frequency (%)
H	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	538	80.4%
Hangul	131	19.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
*	447	83.1%
	42	7.8%
,	8	1.5%
1	6	1.1%
8	5	0.9%
0	5	0.9%
(	4	0.7%
.	3	0.6%
)	3	0.6%
2	2	0.4%
Other values (10)	13	2.4%

Hangul

Value	Count	Frequency (%)
인	5	3.8%
대	5	3.8%
단	4	3.1%
조	4	3.1%
전	4	3.1%
고	4	3.1%
지	3	2.3%
세	3	2.3%
산	3	2.3%
분	3	2.3%
Other values (71)	93	71.0%

우편번호
Real number (ℝ)

UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5544.0667

Minimum	1647
Maximum	8792
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	1647
5-th percentile	1923.1
Q1	3658.5
median	5755
Q3	7553.75
95-th percentile	8700.75
Maximum	8792
Range	7145
Interquartile range (IQR)	3895.25

Descriptive statistics

Standard deviation	2335.3308
Coefficient of variation (CV)	0.42123065
Kurtosis	-1.3369643
Mean	5544.0667
Median Absolute Deviation (MAD)	2086
Skewness	-0.17770917
Sum	166322
Variance	5453769.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
5350	1	3.3%
4425	1	3.3%
5068	1	3.3%
8775	1	3.3%
8327	1	3.3%
4187	1	3.3%
7535	1	3.3%
5005	1	3.3%
2609	1	3.3%
8610	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1647	1	3.3%
1816	1	3.3%
2054	1	3.3%
2489	1	3.3%
2609	1	3.3%
2710	1	3.3%
3438	1	3.3%
3648	1	3.3%
3690	1	3.3%
4187	1	3.3%

Value	Count	Frequency (%)
8792	1	3.3%
8775	1	3.3%
8610	1	3.3%
8393	1	3.3%
8327	1	3.3%
7983	1	3.3%
7962	1	3.3%
7560	1	3.3%
7535	1	3.3%
7376	1	3.3%

주상복합여부
Boolean

IMBALANCE

Distinct	2
Distinct (%)	6.7%
Missing	0
Missing (%)	0.0%
Memory size	162.0 B

False	29
True	1

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	29	96.7%
True	1	3.3%

빌라연립여부
Boolean

IMBALANCE

Distinct	2
Distinct (%)	6.7%
Missing	0
Missing (%)	0.0%
Memory size	162.0 B

False	29
True	1

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	29	96.7%
True	1	3.3%

구청명
Categorical

Distinct	9
Distinct (%)	30.0%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

	20
마포	2
강서	2
송파	1
강남	1
Other values (4)	4

Length

Max length	3
Median length	1
Mean length	1.3666667
Min length	1

Unique

Unique	6 ?
Unique (%)	20.0%

Sample

1st row	송파
2nd row
3rd row	마포
4th row
5th row	강서

Common Values

Value	Count	Frequency (%)
	20	66.7%
마포	2	6.7%
강서	2	6.7%
송파	1	3.3%
강남	1	3.3%
도봉	1	3.3%
서대문	1	3.3%
서초	1	3.3%
관악	1	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
마포	2	20.0%
강서	2	20.0%
송파	1	10.0%
강남	1	10.0%
도봉	1	10.0%
서대문	1	10.0%
서초	1	10.0%
관악	1	10.0%

동사무소명
Categorical

IMBALANCE

Distinct	6
Distinct (%)	20.0%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

	25
오금동	1
개포1	1
상도2동	1
송파2	1

Length

Max length	4
Median length	1
Mean length	1.4
Min length	1

Unique

Unique	5 ?
Unique (%)	16.7%

Sample

1st row
2nd row
3rd row	오금동
4th row	개포1
5th row

Common Values

Value	Count	Frequency (%)
	25	83.3%
오금동	1	3.3%
개포1	1	3.3%
상도2동	1	3.3%
송파2	1	3.3%
가양1동	1	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
오금동	1	20.0%
개포1	1	20.0%
상도2동	1	20.0%
송파2	1	20.0%
가양1동	1	20.0%

파출소명
Categorical

Distinct	7
Distinct (%)	23.3%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

	22
청량리	2
노량진	2
강남	1
방배경찰서	1
Other values (2)	2

Length

Max length	9
Median length	1
Mean length	1.7666667
Min length	1

Unique

Unique	4 ?
Unique (%)	13.3%

Sample

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

Common Values

Value	Count	Frequency (%)
	22	73.3%
청량리	2	6.7%
노량진	2	6.7%
강남	1	3.3%
방배경찰서	1	3.3%
서대문	1	3.3%
한양파출소, 강남	1	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
청량리	2	22.2%
노량진	2	22.2%
강남	2	22.2%
방배경찰서	1	11.1%
서대문	1	11.1%
한양파출소	1	11.1%

소방서명
Categorical

IMBALANCE

Distinct	3
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

	28
백운파출소	1
수궁119	1

Length

Max length	5
Median length	1
Mean length	1.2666667
Min length	1

Unique

Unique	2 ?
Unique (%)	6.7%

Sample

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

Common Values

Value	Count	Frequency (%)
	28	93.3%
백운파출소	1	3.3%
수궁119	1	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
백운파출소	1	50.0%
수궁119	1	50.0%

은행명
Categorical

IMBALANCE

Distinct	5
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

	26
새마을금고.신한은행	1
우리	1
기업은행, 한빛은행	1
서울은행, 조흥은행	1

Length

Max length	10
Median length	1
Mean length	1.9333333
Min length	1

Unique

Unique	4 ?
Unique (%)	13.3%

Sample

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

Common Values

Value	Count	Frequency (%)
	26	86.7%
새마을금고.신한은행	1	3.3%
우리	1	3.3%
기업은행, 한빛은행	1	3.3%
서울은행, 조흥은행	1	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
새마을금고.신한은행	1	16.7%
우리	1	16.7%
기업은행	1	16.7%
한빛은행	1	16.7%
서울은행	1	16.7%
조흥은행	1	16.7%

병원명
Categorical

Distinct	12
Distinct (%)	40.0%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

	19
오산당, 대항병원	1
이대목동병원,홍익병	1
금강메디칼, 원자력/백/을지	1
송영한치과, 연세정형정형외과, 원문섭피부과, 이소아과, 김오경내과, 임이비인후과, 강동성심	1
Other values (7)	7

Length

Max length	50
Median length	1
Mean length	7.3666667
Min length	1

Unique

Unique	11 ?
Unique (%)	36.7%

Sample

1st row	오산당, 대항병원
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	19	63.3%
오산당, 대항병원	1	3.3%
이대목동병원,홍익병	1	3.3%
금강메디칼, 원자력/백/을지	1	3.3%
송영한치과, 연세정형정형외과, 원문섭피부과, 이소아과, 김오경내과, 임이비인후과, 강동성심	1	3.3%
황기은내과, 명제근치과, 국립경찰병원	1	3.3%
목동이대	1	3.3%
김현우내과, 그린치과, 서울성심	1	3.3%
장도훈치과, 백가정내과, 연세정형외과, 조소아과, 권이비인후과, 미즈메디	1	3.3%
한림대학강동성심, 현대아산	1	3.3%
Other values (2)	2	6.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
오산당	1	3.4%
목동이대	1	3.4%
원자력병원,을지병원,태릉성심병원	1	3.4%
현대아산	1	3.4%
한림대학강동성심	1	3.4%
미즈메디	1	3.4%
권이비인후과	1	3.4%
조소아과	1	3.4%
연세정형외과	1	3.4%
백가정내과	1	3.4%
Other values (19)	19	65.5%

스포츠센터명
Categorical

IMBALANCE

Distinct	8
Distinct (%)	26.7%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

	23
나산,보라매	1
싸파리스포렉스, 올림픽, 단지내	1
롯데백화점스포츠센	1
삼호스포츠센타, 우성스포츠센타	1
Other values (3)	3

Length

Max length	22
Median length	1
Mean length	3.6
Min length	1

Unique

Unique	7 ?
Unique (%)	23.3%

Sample

1st row
2nd row	나산,보라매
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	23	76.7%
나산,보라매	1	3.3%
싸파리스포렉스, 올림픽, 단지내	1	3.3%
롯데백화점스포츠센	1	3.3%
삼호스포츠센타, 우성스포츠센타	1	3.3%
연세스포츠센타.	1	3.3%
건영스포츠센타	1	3.3%
대성 스포츠센터 성북 종합 레포츠타운	1	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
나산,보라매	1	7.1%
싸파리스포렉스	1	7.1%
올림픽	1	7.1%
단지내	1	7.1%
롯데백화점스포츠센	1	7.1%
삼호스포츠센타	1	7.1%
우성스포츠센타	1	7.1%
연세스포츠센타	1	7.1%
건영스포츠센타	1	7.1%
대성	1	7.1%
Other values (4)	4	28.6%

쇼핑센터명
Text

Distinct	17
Distinct (%)	56.7%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

Length

Max length	22
Median length	20
Mean length	5.6
Min length	1

Characters and Unicode

Total characters	168
Distinct characters	59
Distinct categories	3 ?
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	15 ?
Unique (%)	50.0%

Sample

1st row
2nd row	이마트
3rd row	까르푸, 그랜드마트
4th row
5th row

Value	Count	Frequency (%)
이마트	4	13.8%
롯데	4	13.8%
신세계	3	10.3%
킴스클럽	2	6.9%
현대	2	6.9%
그랜드마트	1	3.4%
빅마켓.이마트.홈플러스.하나로클럽	1	3.4%
영동시장	1	3.4%
빅마켓	1	3.4%
까르푸	1	3.4%
Other values (9)	9	31.0%

Most occurring characters

Value	Count	Frequency (%)
	25	14.9%
,	17	10.1%
마	11	6.5%
트	8	4.8%
롯	7	4.2%
데	7	4.2%
세	6	3.6%
이	6	3.6%
신	5	3.0%
계	5	3.0%
Other values (49)	71	42.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	123	73.2%
Space Separator	25	14.9%
Other Punctuation	20	11.9%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
마	11	8.9%
트	8	6.5%
롯	7	5.7%
데	7	5.7%
세	6	4.9%
이	6	4.9%
신	5	4.1%
계	5	4.1%
대	5	4.1%
현	5	4.1%
Other values (46)	58	47.2%

Other Punctuation

Value	Count	Frequency (%)
,	17	85.0%
.	3	15.0%

Space Separator

Value	Count	Frequency (%)
	25	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	123	73.2%
Common	45	26.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
마	11	8.9%
트	8	6.5%
롯	7	5.7%
데	7	5.7%
세	6	4.9%
이	6	4.9%
신	5	4.1%
계	5	4.1%
대	5	4.1%
현	5	4.1%
Other values (46)	58	47.2%

Common

Value	Count	Frequency (%)
	25	55.6%
,	17	37.8%
.	3	6.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	123	73.2%
ASCII	45	26.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	25	55.6%
,	17	37.8%
.	3	6.7%

Hangul

Value	Count	Frequency (%)
마	11	8.9%
트	8	6.5%
롯	7	5.7%
데	7	5.7%
세	6	4.9%
이	6	4.9%
신	5	4.1%
계	5	4.1%
대	5	4.1%
현	5	4.1%
Other values (46)	58	47.2%

학교명
Text

Distinct	18
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

Length

Max length	36
Median length	29
Mean length	9.3333333
Min length	1

Characters and Unicode

Total characters	280
Distinct characters	69
Distinct categories	3 ?
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	17 ?
Unique (%)	56.7%

Sample

1st row	양전, 개원, 경기여자
2nd row	계남, 은정 ,갈산, 목일, 봉영여중, 신목, 영천여고
3rd row
4th row	삼성초등, 신림중/여중, 삼성고
5th row	도곡초,도성초, 대명중,진선여중, 진선여고,휘문중고

Value	Count	Frequency (%)
잠신	3	5.6%
중동	2	3.7%
당서	2	3.7%
재현	2	3.7%
방화	2	3.7%
둔춘고,강동고,한신고	1	1.9%
은정	1	1.9%
갈산	1	1.9%
목일	1	1.9%
봉영여중	1	1.9%
Other values (38)	38	70.4%

Most occurring characters

Value	Count	Frequency (%)
	50	17.9%
,	43	15.4%
중	17	6.1%
여	12	4.3%
고	11	3.9%
신	7	2.5%
초	7	2.5%
등	5	1.8%
동	5	1.8%
교	5	1.8%
Other values (59)	118	42.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	183	65.4%
Space Separator	50	17.9%
Other Punctuation	47	16.8%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
중	17	9.3%
여	12	6.6%
고	11	6.0%
신	7	3.8%
초	7	3.8%
등	5	2.7%
동	5	2.7%
교	5	2.7%
학	5	2.7%
계	4	2.2%
Other values (55)	105	57.4%

Other Punctuation

Value	Count	Frequency (%)
,	43	91.5%
.	3	6.4%
/	1	2.1%

Space Separator

Value	Count	Frequency (%)
	50	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	183	65.4%
Common	97	34.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
중	17	9.3%
여	12	6.6%
고	11	6.0%
신	7	3.8%
초	7	3.8%
등	5	2.7%
동	5	2.7%
교	5	2.7%
학	5	2.7%
계	4	2.2%
Other values (55)	105	57.4%

Common

Value	Count	Frequency (%)
	50	51.5%
,	43	44.3%
.	3	3.1%
/	1	1.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	183	65.4%
ASCII	97	34.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	50	51.5%
,	43	44.3%
.	3	3.1%
/	1	1.0%

Hangul

Value	Count	Frequency (%)
중	17	9.3%
여	12	6.6%
고	11	6.0%
신	7	3.8%
초	7	3.8%
등	5	2.7%
동	5	2.7%
교	5	2.7%
학	5	2.7%
계	4	2.2%
Other values (55)	105	57.4%

공원명
Categorical

Distinct	9
Distinct (%)	30.0%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

	22
단지공원, 근린공원	1
용산가족	1
까치산근린	1
뚝섬체육공원 어린이대공원	1
Other values (4)	4

Length

Max length	13
Median length	1
Mean length	2.7333333
Min length	1

Unique

Unique	8 ?
Unique (%)	26.7%

Sample

1st row
2nd row
3rd row
4th row	단지공원, 근린공원
5th row

Common Values

Value	Count	Frequency (%)
	22	73.3%
단지공원, 근린공원	1	3.3%
용산가족	1	3.3%
까치산근린	1	3.3%
뚝섬체육공원 어린이대공원	1	3.3%
양천공원, 안양천체육공원	1	3.3%
건너말, 가락근린	1	3.3%
개웅산	1	3.3%
1-1	1	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
단지공원	1	8.3%
근린공원	1	8.3%
용산가족	1	8.3%
까치산근린	1	8.3%
뚝섬체육공원	1	8.3%
어린이대공원	1	8.3%
양천공원	1	8.3%
안양천체육공원	1	8.3%
건너말	1	8.3%
가락근린	1	8.3%
Other values (2)	2	16.7%

일반버스번호
Categorical

Distinct	13
Distinct (%)	43.3%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

	18
1132, 1135, 1139, 1143, 1154, 149	1
703, 72-1	1
17, 239-1, 28, 28-1, 289, 405, 414, 45, 452, 540, 552-2, 555-2, 66, 68, 716, 78-1, 78-3, 83-1, 97-2	1
202	1
Other values (8)	8

Length

Max length	99
Median length	1
Mean length	8.3333333
Min length	1

Unique

Unique	12 ?
Unique (%)	40.0%

Sample

1st row
2nd row
3rd row	1132, 1135, 1139, 1143, 1154, 149
4th row
5th row

Common Values

Value	Count	Frequency (%)
	18	60.0%
1132, 1135, 1139, 1143, 1154, 149	1	3.3%
703, 72-1	1	3.3%
17, 239-1, 28, 28-1, 289, 405, 414, 45, 452, 540, 552-2, 555-2, 66, 68, 716, 78-1, 78-3, 83-1, 97-2	1	3.3%
202	1	3.3%
17, 47, 567	1	3.3%
2112, 202, 147, 1017, 370, 330, 300, 721	1	3.3%
간선 143	1	3.3%
8,28,6,333,	1	3.3%
752	1	3.3%
Other values (3)	3	10.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
202	2	4.3%
17	2	4.3%
1132	1	2.2%
370	1	2.2%
83-1	1	2.2%
97-2	1	2.2%
47	1	2.2%
567	1	2.2%
2112	1	2.2%
147	1	2.2%
Other values (34)	34	73.9%

좌석버스번호
Categorical

IMBALANCE

Distinct	5
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

	26
1007, 1115-1	1
567	1
960	1
146	1

Length

Max length	12
Median length	1
Mean length	1.5666667
Min length	1

Unique

Unique	4 ?
Unique (%)	13.3%

Sample

1st row
2nd row
3rd row	1007, 1115-1
4th row	567
5th row

Common Values

Value	Count	Frequency (%)
	26	86.7%
1007, 1115-1	1	3.3%
567	1	3.3%
960	1	3.3%
146	1	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1007	1	20.0%
1115-1	1	20.0%
567	1	20.0%
960	1	20.0%
146	1	20.0%

지하철노선명
Categorical

Distinct	14
Distinct (%)	46.7%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

	12
5호선	3
2호선	2
7호선	2
3호선	2
Other values (9)	9

Length

Max length	13
Median length	8
Mean length	4.0333333
Min length	1

Unique

Unique	9 ?
Unique (%)	30.0%

Sample

1st row
2nd row	5호선
3rd row
4th row	1호선
5th row	2호선, 8호선

Common Values

Value	Count	Frequency (%)
	12	40.0%
5호선	3	10.0%
2호선	2	6.7%
7호선	2	6.7%
3호선	2	6.7%
1호선	1	3.3%
2호선, 8호선	1	3.3%
1호선, 2호선	1	3.3%
1호선, 4호선	1	3.3%
6호선	1	3.3%
Other values (4)	4	13.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1호선	7	24.1%
5호선	6	20.7%
2호선	6	20.7%
7호선	3	10.3%
3호선	2	6.9%
4호선	2	6.9%
6호선	2	6.9%
8호선	1	3.4%

지하철역명
Text

Distinct	23
Distinct (%)	76.7%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

Length

Max length	23
Median length	13
Mean length	4.8
Min length	1

Characters and Unicode

Total characters	144
Distinct characters	63
Distinct categories	3 ?
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	22 ?
Unique (%)	73.3%

Sample

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

Value	Count	Frequency (%)
까치산	2	5.6%
성수	2	5.6%
신도림	2	5.6%
창동역	2	5.6%
군자	2	5.6%
고덕	1	2.8%
장한평	1	2.8%
어린이대공원	1	2.8%
오목교	1	2.8%
면목	1	2.8%
Other values (21)	21	58.3%

Most occurring characters

Value	Count	Frequency (%)
	22	15.3%
,	14	9.7%
역	10	6.9%
신	5	3.5%
림	4	2.8%
동	4	2.8%
산	4	2.8%
수	3	2.1%
원	3	2.1%
도	3	2.1%
Other values (53)	72	50.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	108	75.0%
Space Separator	22	15.3%
Other Punctuation	14	9.7%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
역	10	9.3%
신	5	4.6%
림	4	3.7%
동	4	3.7%
산	4	3.7%
수	3	2.8%
원	3	2.8%
도	3	2.8%
창	3	2.8%
용	2	1.9%
Other values (51)	67	62.0%

Space Separator

Value	Count	Frequency (%)
	22	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	108	75.0%
Common	36	25.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
역	10	9.3%
신	5	4.6%
림	4	3.7%
동	4	3.7%
산	4	3.7%
수	3	2.8%
원	3	2.8%
도	3	2.8%
창	3	2.8%
용	2	1.9%
Other values (51)	67	62.0%

Common

Value	Count	Frequency (%)
	22	61.1%
,	14	38.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	108	75.0%
ASCII	36	25.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	22	61.1%
,	14	38.9%

Hangul

Value	Count	Frequency (%)
역	10	9.3%
신	5	4.6%
림	4	3.7%
동	4	3.7%
산	4	3.7%
수	3	2.8%
원	3	2.8%
도	3	2.8%
창	3	2.8%
용	2	1.9%
Other values (51)	67	62.0%

소요시간
Text

Distinct	15
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

Length

Max length	19
Median length	12
Mean length	6.3333333
Min length	1

Characters and Unicode

Total characters	190
Distinct characters	12
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	12 ?
Unique (%)	40.0%

Sample

1st row	버스10분
2nd row	도보5 분
3rd row	도보15분, 도보10분
4th row	도보10분, 도보10분
5th row	도보5 분

Value	Count	Frequency (%)
도보10분	11	26.8%
분	10	24.4%
도보5	4	9.8%
버스5	4	9.8%
버스15분	4	9.8%
버스10분	3	7.3%
도보15분	3	7.3%
도보9	1	2.4%
도보7	1	2.4%

Most occurring characters

Value	Count	Frequency (%)
	33	17.4%
분	31	16.3%
1	21	11.1%
도	20	10.5%
보	20	10.5%
5	15	7.9%
0	14	7.4%
,	12	6.3%
버	11	5.8%
스	11	5.8%
Other values (2)	2	1.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	93	48.9%
Decimal Number	52	27.4%
Space Separator	33	17.4%
Other Punctuation	12	6.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
분	31	33.3%
도	20	21.5%
보	20	21.5%
버	11	11.8%
스	11	11.8%

Decimal Number

Value	Count	Frequency (%)
1	21	40.4%
5	15	28.8%
0	14	26.9%
9	1	1.9%
7	1	1.9%

Space Separator

Value	Count	Frequency (%)
	33	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	97	51.1%
Hangul	93	48.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
	33	34.0%
1	21	21.6%
5	15	15.5%
0	14	14.4%
,	12	12.4%
9	1	1.0%
7	1	1.0%

Hangul

Value	Count	Frequency (%)
분	31	33.3%
도	20	21.5%
보	20	21.5%
버	11	11.8%
스	11	11.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	97	51.1%
Hangul	93	48.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	33	34.0%
1	21	21.6%
5	15	15.5%
0	14	14.4%
,	12	12.4%
9	1	1.0%
7	1	1.0%

Hangul

Value	Count	Frequency (%)
분	31	33.3%
도	20	21.5%
보	20	21.5%
버	11	11.8%
스	11	11.8%

법정동코드
Real number (ℝ)

Distinct	27
Distinct (%)	90.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1495106 × 10⁹

Minimum	1.1230103 × 10⁹
Maximum	1.1740109 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	1.1230103 × 10⁹
5-th percentile	1.1230106 × 10⁹
Q1	1.1350102 × 10⁹
median	1.1515104 × 10⁹
Q3	1.1680101 × 10⁹
95-th percentile	1.1740107 × 10⁹
Maximum	1.1740109 × 10⁹
Range	51000600
Interquartile range (IQR)	32999900

Descriptive statistics

Standard deviation	18325969
Coefficient of variation (CV)	0.015942409
Kurtosis	-1.4189701
Mean	1.1495106 × 10⁹
Median Absolute Deviation (MAD)	16500150
Skewness	-0.11244108
Sum	3.4485319 × 10¹⁰
Variance	3.3584113 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
1135010200	2	6.7%
1123010600	2	6.7%
1168010100	2	6.7%
1129013300	1	3.3%
1174010600	1	3.3%
1165010100	1	3.3%
1168011000	1	3.3%
1168010500	1	3.3%
1171010900	1	3.3%
1150010600	1	3.3%
Other values (17)	17	56.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1123010300	1	3.3%
1123010600	2	6.7%
1123010900	1	3.3%
1126010300	1	3.3%
1126010600	1	3.3%
1129013300	1	3.3%
1135010200	2	6.7%
1135010500	1	3.3%
1144010200	1	3.3%
1144010800	1	3.3%

Value	Count	Frequency (%)
1174010900	1	3.3%
1174010800	1	3.3%
1174010600	1	3.3%
1174010500	1	3.3%
1171010900	1	3.3%
1168011000	1	3.3%
1168010500	1	3.3%
1168010100	2	6.7%
1165010100	1	3.3%
1162010100	1	3.3%

리모델링여부
Boolean

CONSTANT

Distinct	1
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	162.0 B

False	30

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	30	100.0%

단지좌표X값
Real number (ℝ)

UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	955608.77

Minimum	941041.83
Maximum	968833.65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	941041.83
5-th percentile	942372.76
Q1	949042.48
median	956716.92
Q3	961038.11
95-th percentile	967730.39
Maximum	968833.65
Range	27791.823
Interquartile range (IQR)	11995.63

Descriptive statistics

Standard deviation	7905.1249
Coefficient of variation (CV)	0.0082723445
Kurtosis	-0.81462164
Mean	955608.77
Median Absolute Deviation (MAD)	5064.9772
Skewness	-0.30192517
Sum	28668263
Variance	62491000
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
966908.4271357	1	3.3%
958299.777289	1	3.3%
953935.0	1	3.3%
955892.2471324	1	3.3%
956350.0078392	1	3.3%
945904.2959509	1	3.3%
941041.8280937	1	3.3%
968402.9102836	1	3.3%
963150.5254392	1	3.3%
944731.8418041	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
941041.8280937	1	3.3%
941761.5610395	1	3.3%
943119.7882597	1	3.3%
944731.8418041	1	3.3%
945630.2169673	1	3.3%
945904.2959509	1	3.3%
947996.9774297	1	3.3%
948179.3031604	1	3.3%
951632.0	1	3.3%
951671.8819229	1	3.3%

Value	Count	Frequency (%)
968833.651177	1	3.3%
968402.9102836	1	3.3%
966908.4271357	1	3.3%
963379.1976985	1	3.3%
963150.5254392	1	3.3%
962081.6544194	1	3.3%
961551.2916145	1	3.3%
961182.9994295	1	3.3%
960603.4319954	1	3.3%
960310.1961204	1	3.3%

단지좌표Y값
Real number (ℝ)

UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1949523.5

Minimum	1941497.8
Maximum	1964300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	1941497.8
5-th percentile	1943198.5
Q1	1946379.7
median	1947936.3
Q3	1952309.8
95-th percentile	1959458.5
Maximum	1964300
Range	22802.212
Interquartile range (IQR)	5930.0918

Descriptive statistics

Standard deviation	5431.6969
Coefficient of variation (CV)	0.0027861665
Kurtosis	0.82972012
Mean	1949523.5
Median Absolute Deviation (MAD)	2965.8008
Skewness	1.0342825
Sum	58485704
Variance	29503331
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
1952398.0684939	1	3.3%
1947841.2527499	1	3.3%
1949475.925128	1	3.3%
1945130.0	1	3.3%
1947810.1681292	1	3.3%
1944810.9147491	1	3.3%
1950074.5848712	1	3.3%
1942817.1714337	1	3.3%
1946613.9140041	1	3.3%
1964300.0	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1941497.7878205	1	3.3%
1942817.1714337	1	3.3%
1943664.5041457	1	3.3%
1944069.0	1	3.3%
1944366.5193068	1	3.3%
1944810.9147491	1	3.3%
1945130.0	1	3.3%
1946342.5555938	1	3.3%
1946491.2826931	1	3.3%
1946613.9140041	1	3.3%

Value	Count	Frequency (%)
1964300.0	1	3.3%
1961229.4139545	1	3.3%
1957294.0418841	1	3.3%
1956898.9877605	1	3.3%
1955593.6162735	1	3.3%
1954555.3793611	1	3.3%
1953036.3299035	1	3.3%
1952398.0684939	1	3.3%
1952045.1112457	1	3.3%
1950102.6228681	1	3.3%

First rows
Last rows

	부동산물건uid	시도명	시군구명	구명	읍면동명	리명	번지	기타번지	아파트명	총세대수	총동수	단지최고층	단지최저층	준공연월	건설업체명	난방방식	난방연료	주차대수	관리사무소전화번호	분양권여부	입주년월	단지특성	우편번호	주상복합여부	빌라연립여부	구청명	동사무소명	파출소명	병원명	스포츠센터명	쇼핑센터명	학교명	공원명	일반버스번호	좌석버스번호	지하철노선명	지하철역명	소요시간	법정동코드	리모델링여부	단지좌표X값	단지좌표Y값
0	KBA013357	서울특별시	도봉구	<NA>	공릉동	<NA>	384		브운톤도	270	1	18	15	201112	코롱설*	중앙	도시가스	459	02-7-54	F	200103	<NA>	5350	F	F	송파			오산당, 대항병원			양전, 개원, 경기여자						버스10분	1129013300	F	966908.427136	1952398.068494
1	KBA010740	서울특별시	송파구	<NA>	염창동	<NA>	1029		개우2*	70	13	19	22	200308	삼건	개별	도시가스	320	02-27-63	F	200511	2 역보분최 (고상,덕) 산남조,심전	2710	T	F			청량리		나산,보라매	이마트	계남, 은정 ,갈산, 목일, 봉영여중, 신목, 영천여고				5호선		도보5 분	1153010200	F	960310.19612	1956898.987761
2	KBA023933	서울특별시	성동구	<NA>	서초동	<NA>	1714		창쌍(차	98	12	22	21	198808	대건	지역	도시가스	84	02-2-09	F	200303	<NA>	1647	F	F	마포	오금동				까르푸, 그랜드마트			1132, 1135, 1139, 1143, 1154, 149	1007, 1115-1		면목	도보15분, 도보10분	1144012300	F	941761.56104	1954555.379361
3	KBA014516	서울특별시	동작구	<NA>	한강로3가	<NA>	877		경*	625	1	24	6	198606	<NA>	개별	도시가스	300	02-9-79	F	199708	1%주,선호1 철망	6635	F	F		개포1	노량진				삼성초등, 신림중/여중, 삼성고	단지공원, 근린공원		567	1호선		도보10분, 도보10분	1174010900	F	945630.216967	1957294.041884
4	KBA021376	서울특별시	서초구	<NA>	목동	<NA>	412-3	746	신포한2차*	194	1	18	9	200412	월건	개별	도시가스	216	02-5-76	F	199912	신와인인 대향 평로성쾌 단동리인도접	6544	F	F	강서						도곡초,도성초, 대명중,진선여중, 진선여고,휘문중고				2호선, 8호선		도보5 분	1153011200	F	943119.78826	1953036.329903
5	KBA000034	서울특별시	용산구	<NA>	등촌동	<NA>	578		목트빌*	2282	4	14	10	200306	동건	개별	열병합	0	02-2-74	F	199708	조고차 움**	3690	F	F									703, 72-1		5호선	성수	도보9 분	1147010100	F	955246.0	1946342.555594
6	KBA006690	서울특별시	송파구	<NA>	잠원동	<NA>	126외 2필지		창쌍스닷	358	3	15	5	201406	세건	개별	도시가스	0		F	201201	<NA>	8792	F	F							청계, 중원, 대진여자	용산가족	17, 239-1, 28, 28-1, 289, 405, 414, 45, 452, 540, 552-2, 555-2, 66, 68, 716, 78-1, 78-3, 83-1, 97-2			잠원역		1123010600	F	951632.0	1948031.263574
7	KBA007728	서울특별시	동대문구	<NA>	신정동	<NA>	647		미(차*	299	11	15	17	200312	임토	개별	도시가스	220	02-37-49	F	200211	남한망최복파건**	3648	F	F						빅마켓.이마트.홈플러스.하나로클럽, 롯데	상도초등학교, 장승중학교, 당곡중학교, 강남여중학교, 당곡고등학교		202		1호선, 2호선		버스5 분, 도보10분	1153010700	F	962081.654419	1947216.0
8	KBA000663	서울특별시	양천구	<NA>	홍제동	<NA>	500		북현	1070	4	25	10	199604	건*	개별	도시가스	1110	02-4-93	F	197010	<NA>	2054	F	F			강남	이대목동병원,홍익병			여의초, 여의중, 여의고				1호선, 4호선	신도림, 도림천, 신도림	도보7 분	1135010500	F	951671.881923	1941497.787821
9	KBA009768	서울특별시	중랑구	<NA>	청량리동	<NA>	425-5외3필지		삼동데슬덤*	1270	8	24	5	200010	롯건	개별	도시가스	200		F	198910	관 하있공고적,장 트다전 !4	8393	F	F	강남			금강메디칼, 원자력/백/을지					17, 47, 567		6호선	남부터미널역	도보15분	1162010100	F	961551.291614	1946983.433565

	부동산물건uid	시도명	시군구명	구명	읍면동명	리명	번지	기타번지	아파트명	총세대수	총동수	단지최고층	단지최저층	준공연월	건설업체명	난방방식	난방연료	주차대수	관리사무소전화번호	분양권여부	입주년월	단지특성	우편번호	주상복합여부	빌라연립여부	구청명	동사무소명	파출소명	소방서명	은행명	병원명	스포츠센터명	쇼핑센터명	학교명	공원명	일반버스번호	좌석버스번호	지하철노선명	지하철역명	소요시간	법정동코드	리모델링여부	단지좌표X값	단지좌표Y값
20	KBA006358	서울특별시	서대문구	<NA>	신정동	<NA>	311-13	776-3,776-4	미*	893	1	25	15	200506	S공	개별	도시가스	1110	02-71-33	F	198012	총수6대분 8, 5.조 8 분1세 H	6705	F	T		상도2동											5호선		버스5 분, 버스5 분	1144010800	F	959952.942431	1944366.519307
21	KBA009210	서울특별시	강서구	<NA>	목동	<NA>	366	(종전27-1)	G강자*	88	18	17	13	199912	현산개*	개별	도시가스	325	02-6-63	F	200005	<NA>	7560	F	F			서대문			원자력병원,을지병원,태릉성심병원		킴스클럽	중계, 재현, 상계제일, 재현	양천공원, 안양천체육공원				성수, 군자, 장한평, 어린이대공원, 군자		1150010600	F	948179.30316	1952045.111246
22	KBA001221	서울특별시	도봉구	<NA>	월계동	<NA>	454	401	고.	416	3	6	15	201107	<NA>	개별	도시가스	314	02-6-77	F	198810	<NA>	8610	F	F		송파2				서울중앙병원		홈에버,농산물직판장, 행복한세상,현대		건너말, 가락근린	6640		3호선	오목교		1171010900	F	944731.841804	1964300.0
23	KBA000361	서울특별시	노원구	<NA>	명륜1가	<NA>	746		송센레*	1297	2	15	13	199905	동고건*	중앙	도시가스	0		F	198906	<NA>	2609	F	F	서초							롯데아울렛,이마트,롯데마트						고덕	도보10분	1168010100	F	963150.525439	1946613.914004
24	KBA011630	서울특별시	영등포구	<NA>	창동	<NA>	970	260-1,260-2,260-3,260-4	현2	62	2	15	19	200405	현산개*	지역	열병합	107	02-5-95	F	197111	<NA>	5005	F	F							건영스포츠센타	천호현대, 이마트, 롯데마그넷		개웅산				오류동역		1135010200	F	968402.910284	1942817.171434
25	KBA008372	서울특별시	강남구	<NA>	항동	<NA>	450		수산원자	362	6	19	9	199712	극건	개별	열병합	468	02-93-68	F	198407	10인2,~라 평 차 봉 에치아단	7535	F	F							대성 스포츠센터 성북 종합 레포츠타운	이마트						용산, 신용산, 마포, 효창공원앞	버스5 분, 도보10분, 도보10분	1168010500	F	941041.828094	1950074.584871
26	KBA016209	서울특별시	성북구	<NA>	상일동	<NA>	463외1필지	327-6, 공고시 269-31번지외3필지	한(차*	154	7	13	10	198607	삼물	개별	열병합	0		F	200905	-전능반1세조 대8번 지00:지**	4187	F	F			한양파출소, 강남								710			수색	버스10분, 버스10분, 버스15분	1168011000	F	945904.295951	1944810.914749
27	KBA019167	서울특별시	양천구	<NA>	신월동	<NA>	611		보매오하채*	80	4	22	13	200411	우건	개별	도시가스	0	02-6-16	F	199610	<NA>	8327	F	F	관악	가양1동						현대,신세계	대림, 문창	1-1			5호선, 5호선, 5호선	뚝섬역, 서울숲역		1168010100	F	956350.007839	1947810.168129
28	KBA017483	서울특별시	성동구	<NA>	명일동	<NA>	974		삼동성니	298	1	25	16	198809	<NA>	지역	도시가스	877	02-6-71	F	199206	<NA>	8775	F	F					서울은행, 조흥은행				염동				2호선		도보5 분	1165010100	F	955892.247132	1945130.0
29	KBA016522	서울특별시	영등포구	<NA>	구로동	<NA>	218		서네처4지*	162	1	10	4	200109	대건	중앙	도시가스	624	02-21-03	F	199011	*세 5(전3.임6대별(가8대01동일	5068	F	F	마포			수궁119					영희, 중동, 중동		92.1.33.36	146			도보10분, 도보10분	1174010600	F	953935.0	1949475.925128

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