gimi9 Pandas Profiling

Dataset statistics

Number of variables	11
Number of observations	582
Missing cells	561
Missing cells (%)	8.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	54.1 KiB
Average record size in memory	95.2 B

Variable types

Numeric	7
Categorical	3
DateTime	1

Dataset

Description	대장관리번호,시설물 종류 코드,코드명,수량(개),면적(㎡),연장(m),빗물 관리량(㎥/h),저류 용량(㎥),자치구코드,자치구명,준공일
Author	서울특별시
URL	https://data.seoul.go.kr/dataList/OA-15645/S/1/datasetView.do

Alerts

`시설물 종류 코드` is highly overall correlated with `코드명`	High correlation
`코드명` is highly overall correlated with `시설물 종류 코드`	High correlation
`면적(㎡)` is highly overall correlated with `빗물 관리량(㎥/h)`	High correlation
`빗물 관리량(㎥/h)` is highly overall correlated with `면적(㎡)`	High correlation
`자치구코드` is highly overall correlated with `자치구명`	High correlation
`자치구명` is highly overall correlated with `자치구코드`	High correlation
`면적(㎡)` has 72 (12.4%) missing values	Missing
`연장(m)` has 132 (22.7%) missing values	Missing
`저류 용량(㎥)` has 308 (52.9%) missing values	Missing
`준공일` has 49 (8.4%) missing values	Missing
`수량(개)` is highly skewed (γ1 = 20.26272312)	Skewed
`면적(㎡)` is highly skewed (γ1 = 22.54918238)	Skewed
`대장관리번호` has unique values	Unique
`수량(개)` has 274 (47.1%) zeros	Zeros
`면적(㎡)` has 141 (24.2%) zeros	Zeros
`연장(m)` has 256 (44.0%) zeros	Zeros
`빗물 관리량(㎥/h)` has 86 (14.8%) zeros	Zeros
`저류 용량(㎥)` has 219 (37.6%) zeros	Zeros

Reproduction

Analysis started	2024-05-11 05:57:34.132992
Analysis finished	2024-05-11 05:57:44.252809
Duration	10.12 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

대장관리번호
Real number (ℝ)

UNIQUE

Distinct	582
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1393.5876

Minimum	1001
Maximum	1781
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	1001
5-th percentile	1036.05
Q1	1173.25
median	1418.5
Q3	1569.75
95-th percentile	1703.85
Maximum	1781
Range	780
Interquartile range (IQR)	396.5

Descriptive statistics

Standard deviation	214.25365
Coefficient of variation (CV)	0.15374251
Kurtosis	-1.0710511
Mean	1393.5876
Median Absolute Deviation (MAD)	166
Skewness	-0.24667978
Sum	811068
Variance	45904.628
Monotonicity	Strictly decreasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1781	1	0.2%
1342	1	0.2%
1320	1	0.2%
1319	1	0.2%
1318	1	0.2%
1317	1	0.2%
1316	1	0.2%
1315	1	0.2%
1314	1	0.2%
1311	1	0.2%
Other values (572)	572	98.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1001	1	0.2%
1002	1	0.2%
1003	1	0.2%
1004	1	0.2%
1005	1	0.2%
1006	1	0.2%
1007	1	0.2%
1008	1	0.2%
1009	1	0.2%
1010	1	0.2%

Value	Count	Frequency (%)
1781	1	0.2%
1779	1	0.2%
1778	1	0.2%
1772	1	0.2%
1767	1	0.2%
1766	1	0.2%
1764	1	0.2%
1763	1	0.2%
1760	1	0.2%
1759	1	0.2%

시설물 종류 코드
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	4.7 KiB

FGN001	293
FGN07	83
FGN003	55
FGN005	51
FGN06	44
Other values (3)	56

Length

Max length	6
Median length	6
Mean length	5.7817869
Min length	5

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FGN07
2nd row	FGN999
3rd row	FGN07
4th row	FGN001
5th row	FGN999

Common Values

Value	Count	Frequency (%)
FGN001	293	50.3%
FGN07	83	14.3%
FGN003	55	9.5%
FGN005	51	8.8%
FGN06	44	7.6%
FGN002	27	4.6%
FGN999	16	2.7%
FGN004	13	2.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
fgn001	293	50.3%
fgn07	83	14.3%
fgn003	55	9.5%
fgn005	51	8.8%
fgn06	44	7.6%
fgn002	27	4.6%
fgn999	16	2.7%
fgn004	13	2.2%

코드명
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	4.7 KiB

투수성포장	293
옥상녹화	83
침투트렌치	55
정방형침투통	51
저류조	44
Other values (3)	56

Length

Max length	6
Median length	5
Mean length	4.6649485
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	옥상녹화
2nd row	기타
3rd row	옥상녹화
4th row	투수성포장
5th row	기타

Common Values

Value	Count	Frequency (%)
투수성포장	293	50.3%
옥상녹화	83	14.3%
침투트렌치	55	9.5%
정방형침투통	51	8.8%
저류조	44	7.6%
침투측구	27	4.6%
기타	16	2.7%
원형침투통	13	2.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
투수성포장	293	50.3%
옥상녹화	83	14.3%
침투트렌치	55	9.5%
정방형침투통	51	8.8%
저류조	44	7.6%
침투측구	27	4.6%
기타	16	2.7%
원형침투통	13	2.2%

수량(개)
Real number (ℝ)

SKEWED ZEROS

Distinct	40
Distinct (%)	6.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	85.388316

Minimum	0
Maximum	28675
Zeros	274
Zeros (%)	47.1%
Negative	0
Negative (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	12.95
Maximum	28675
Range	28675
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1276.0022
Coefficient of variation (CV)	14.943522
Kurtosis	441.0091
Mean	85.388316
Median Absolute Deviation (MAD)	1
Skewness	20.262723
Sum	49696
Variance	1628181.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0	274	47.1%
1	221	38.0%
2	14	2.4%
4	9	1.5%
5	8	1.4%
6	5	0.9%
12	5	0.9%
7	4	0.7%
3	4	0.7%
14	3	0.5%
Other values (30)	35	6.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	274	47.1%
1	221	38.0%
2	14	2.4%
3	4	0.7%
4	9	1.5%
5	8	1.4%
6	5	0.9%
7	4	0.7%
8	3	0.5%
9	1	0.2%

Value	Count	Frequency (%)
28675	1	0.2%
9550	1	0.2%
5200	1	0.2%
3000	1	0.2%
507	1	0.2%
462	1	0.2%
272	1	0.2%
249	1	0.2%
160	1	0.2%
120	1	0.2%

면적(㎡)
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED ZEROS

Distinct	305
Distinct (%)	59.8%
Missing	72
Missing (%)	12.4%
Infinite	0
Infinite (%)	0.0%
Mean	8169.2647

Minimum	0
Maximum	3497379
Zeros	141
Zeros (%)	24.2%
Negative	0
Negative (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	205
Q3	1075
95-th percentile	4191.45
Maximum	3497379
Range	3497379
Interquartile range (IQR)	1075

Descriptive statistics

Standard deviation	154886.65
Coefficient of variation (CV)	18.959681
Kurtosis	508.96349
Mean	8169.2647
Median Absolute Deviation (MAD)	205
Skewness	22.549182
Sum	4166325
Variance	2.3989875 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	141	24.2%
32	5	0.9%
100	4	0.7%
1500	4	0.7%
20	4	0.7%
800	3	0.5%
400	3	0.5%
14	3	0.5%
33	3	0.5%
58	3	0.5%
Other values (295)	337	57.9%
(Missing)	72	12.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	141	24.2%
3	1	0.2%
14	3	0.5%
20	4	0.7%
21	2	0.3%
22	1	0.2%
23	1	0.2%
27	1	0.2%
28	1	0.2%
31	1	0.2%

Value	Count	Frequency (%)
3497379	1	0.2%
84590	1	0.2%
38434	1	0.2%
29536	1	0.2%
29300	1	0.2%
21000	1	0.2%
20247	1	0.2%
17287	1	0.2%
16188	1	0.2%
10230	1	0.2%

연장(m)
Real number (ℝ)

MISSING ZEROS

Distinct	134
Distinct (%)	29.8%
Missing	132
Missing (%)	22.7%
Infinite	0
Infinite (%)	0.0%
Mean	135.64444

Minimum	0
Maximum	8694
Zeros	256
Zeros (%)	44.0%
Negative	0
Negative (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	98.25
95-th percentile	600
Maximum	8694
Range	8694
Interquartile range (IQR)	98.25

Descriptive statistics

Standard deviation	494.11489
Coefficient of variation (CV)	3.6427212
Kurtosis	203.96979
Mean	135.64444
Median Absolute Deviation (MAD)	0
Skewness	12.529748
Sum	61040
Variance	244149.52
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	256	44.0%
200	10	1.7%
60	5	0.9%
27	5	0.9%
120	4	0.7%
70	4	0.7%
450	3	0.5%
400	3	0.5%
51	3	0.5%
350	3	0.5%
Other values (124)	154	26.5%
(Missing)	132	22.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	256	44.0%
2	1	0.2%
4	1	0.2%
7	1	0.2%
9	1	0.2%
10	1	0.2%
12	2	0.3%
15	1	0.2%
16	1	0.2%
17	1	0.2%

Value	Count	Frequency (%)
8694	1	0.2%
2800	1	0.2%
2433	1	0.2%
1920	1	0.2%
1500	2	0.3%
1350	1	0.2%
1030	1	0.2%
969	1	0.2%
950	1	0.2%
918	1	0.2%

빗물 관리량(㎥/h)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	92
Distinct (%)	15.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.30756

Minimum	0
Maximum	1540
Zeros	86
Zeros (%)	14.8%
Negative	0
Negative (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	4
Q3	17.75
95-th percentile	81.5
Maximum	1540
Range	1540
Interquartile range (IQR)	16.75

Descriptive statistics

Standard deviation	101.23813
Coefficient of variation (CV)	4.0003119
Kurtosis	121.35977
Mean	25.30756
Median Absolute Deviation (MAD)	4
Skewness	10.01434
Sum	14729
Variance	10249.16
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	118	20.3%
0	86	14.8%
2	35	6.0%
3	35	6.0%
4	28	4.8%
5	22	3.8%
7	14	2.4%
6	13	2.2%
10	12	2.1%
8	12	2.1%
Other values (82)	207	35.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	86	14.8%
1	118	20.3%
2	35	6.0%
3	35	6.0%
4	28	4.8%
5	22	3.8%
6	13	2.2%
7	14	2.4%
8	12	2.1%
9	8	1.4%

Value	Count	Frequency (%)
1540	1	0.2%
1121	1	0.2%
858	1	0.2%
685	1	0.2%
509	1	0.2%
412	1	0.2%
392	1	0.2%
388	1	0.2%
353	1	0.2%
301	1	0.2%

저류 용량(㎥)
Real number (ℝ)

MISSING ZEROS

Distinct	39
Distinct (%)	14.2%
Missing	308
Missing (%)	52.9%
Infinite	0
Infinite (%)	0.0%
Mean	117.69708

Minimum	0
Maximum	12119
Zeros	219
Zeros (%)	37.6%
Negative	0
Negative (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	98.7
Maximum	12119
Range	12119
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	943.11143
Coefficient of variation (CV)	8.0130402
Kurtosis	114.52545
Mean	117.69708
Median Absolute Deviation (MAD)	0
Skewness	10.291518
Sum	32249
Variance	889459.17
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
0	219	37.6%
2	9	1.5%
10	3	0.5%
3	3	0.5%
1	3	0.5%
100	2	0.3%
40	2	0.3%
300	2	0.3%
330	1	0.2%
12	1	0.2%
Other values (29)	29	5.0%
(Missing)	308	52.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	219	37.6%
1	3	0.5%
2	9	1.5%
3	3	0.5%
4	1	0.2%
5	1	0.2%
7	1	0.2%
9	1	0.2%
10	3	0.5%
12	1	0.2%

Value	Count	Frequency (%)
12119	1	0.2%
7300	1	0.2%
6250	1	0.2%
2000	1	0.2%
1657	1	0.2%
430	1	0.2%
330	1	0.2%
300	2	0.3%
275	1	0.2%
150	1	0.2%

자치구코드
Real number (ℝ)

HIGH CORRELATION

Distinct	25
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11459.897

Minimum	11110
Maximum	11740
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	11110
5-th percentile	11170
Q1	11290
median	11500
Q3	11650
95-th percentile	11710
Maximum	11740
Range	630
Interquartile range (IQR)	360

Descriptive statistics

Standard deviation	182.82208
Coefficient of variation (CV)	0.015953205
Kurtosis	-1.186935
Mean	11459.897
Median Absolute Deviation (MAD)	150
Skewness	-0.2179878
Sum	6669660
Variance	33423.914
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
11500	64	11.0%
11650	60	10.3%
11380	48	8.2%
11710	47	8.1%
11680	39	6.7%
11200	32	5.5%
11560	28	4.8%
11290	25	4.3%
11530	24	4.1%
11215	21	3.6%
Other values (15)	194	33.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11110	11	1.9%
11140	17	2.9%
11170	11	1.9%
11200	32	5.5%
11215	21	3.6%
11230	11	1.9%
11260	19	3.3%
11290	25	4.3%
11305	10	1.7%
11320	13	2.2%

Value	Count	Frequency (%)
11740	11	1.9%
11710	47	8.1%
11680	39	6.7%
11650	60	10.3%
11620	9	1.5%
11590	15	2.6%
11560	28	4.8%
11545	9	1.5%
11530	24	4.1%
11500	64	11.0%

자치구명
Categorical

HIGH CORRELATION

Distinct	25
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Memory size	4.7 KiB

강서구	64
서초구	60
은평구	48
송파구	47
강남구	39
Other values (20)	324

Length

Max length	4
Median length	3
Mean length	3.0532646
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	중랑구
2nd row	은평구
3rd row	성북구
4th row	강남구
5th row	성북구

Common Values

Value	Count	Frequency (%)
강서구	64	11.0%
서초구	60	10.3%
은평구	48	8.2%
송파구	47	8.1%
강남구	39	6.7%
성동구	32	5.5%
영등포구	28	4.8%
성북구	25	4.3%
구로구	24	4.1%
광진구	21	3.6%
Other values (15)	194	33.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
강서구	64	11.0%
서초구	60	10.3%
은평구	48	8.2%
송파구	47	8.1%
강남구	39	6.7%
성동구	32	5.5%
영등포구	28	4.8%
성북구	25	4.3%
구로구	24	4.1%
광진구	21	3.6%
Other values (15)	194	33.3%

준공일
Date

MISSING

Distinct	281
Distinct (%)	52.7%
Missing	49
Missing (%)	8.4%
Memory size	4.7 KiB

Minimum	2006-01-01 00:00:00
Maximum	2024-02-10 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Heatmap
Table

	대장관리번호	시설물 종류 코드	코드명	수량(개)	면적(㎡)	연장(m)	빗물 관리량(㎥/h)	저류 용량(㎥)	자치구코드	자치구명
대장관리번호	1.000	0.502	0.502	0.236	0.000	0.311	0.178	0.049	0.559	0.679
시설물 종류 코드	0.502	1.000	1.000	0.000	0.000	0.156	0.245	0.120	0.228	0.417
코드명	0.502	1.000	1.000	0.000	0.000	0.156	0.245	0.120	0.228	0.417
수량(개)	0.236	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.152	0.230
면적(㎡)	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.172	0.268
연장(m)	0.311	0.156	0.156	0.000	0.000	1.000	0.326	0.000	0.000	0.042
빗물 관리량(㎥/h)	0.178	0.245	0.245	0.000	0.000	0.326	1.000	1.000	0.000	0.169
저류 용량(㎥)	0.049	0.120	0.120	0.000	0.000	0.000	1.000	1.000	0.145	0.000
자치구코드	0.559	0.228	0.228	0.152	0.172	0.000	0.000	0.145	1.000	1.000
자치구명	0.679	0.417	0.417	0.230	0.268	0.042	0.169	0.000	1.000	1.000

Heatmap
Table

	시설물 종류 코드	코드명	자치구명
시설물 종류 코드	1.000	1.000	0.177
코드명	1.000	1.000	0.177
자치구명	0.177	0.177	1.000

Heatmap
Table

	대장관리번호	수량(개)	면적(㎡)	연장(m)	빗물 관리량(㎥/h)	저류 용량(㎥)	자치구코드	시설물 종류 코드	코드명	자치구명
대장관리번호	1.000	-0.231	-0.326	-0.211	-0.225	0.394	-0.148	0.267	0.267	0.310
수량(개)	-0.231	1.000	-0.070	-0.026	0.029	0.259	-0.083	0.000	0.000	0.121
면적(㎡)	-0.326	-0.070	1.000	0.085	0.672	-0.270	0.001	0.000	0.000	0.226
연장(m)	-0.211	-0.026	0.085	1.000	0.272	-0.147	-0.005	0.095	0.095	0.014
빗물 관리량(㎥/h)	-0.225	0.029	0.672	0.272	1.000	-0.025	-0.028	0.084	0.084	0.066
저류 용량(㎥)	0.394	0.259	-0.270	-0.147	-0.025	1.000	-0.068	0.072	0.072	0.000
자치구코드	-0.148	-0.083	0.001	-0.005	-0.028	-0.068	1.000	0.111	0.111	0.987
시설물 종류 코드	0.267	0.000	0.000	0.095	0.084	0.072	0.111	1.000	1.000	0.177
코드명	0.267	0.000	0.000	0.095	0.084	0.072	0.111	1.000	1.000	0.177
자치구명	0.310	0.121	0.226	0.014	0.066	0.000	0.987	0.177	0.177	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

	대장관리번호	시설물 종류 코드	코드명	수량(개)	면적(㎡)	연장(m)	빗물 관리량(㎥/h)	저류 용량(㎥)	자치구코드	자치구명	준공일
0	1781	FGN07	옥상녹화	0	45	0	0	2	11260	중랑구	2024-02-10 00:00:00.0
1	1779	FGN999	기타	272	0	0	5	0	11380	은평구	2023-12-10 00:00:00.0
2	1778	FGN07	옥상녹화	50	0	0	3	0	11290	성북구	2023-12-18 00:00:00.0
3	1772	FGN001	투수성포장	15	609	0	0	0	11680	강남구	2024-01-16 00:00:00.0
4	1767	FGN999	기타	14	0	<NA>	1540	<NA>	11290	성북구	2023-10-18 00:00:00.0
5	1766	FGN001	투수성포장	1	1524	969	26	<NA>	11350	노원구	2023-12-31 00:00:00.0
6	1764	FGN005	정방형침투통	0	109	<NA>	7	<NA>	11200	성동구	2023-05-22 00:00:00.0
7	1763	FGN999	기타	0	462	<NA>	0	<NA>	11200	성동구	2023-07-10 00:00:00.0
8	1760	FGN999	기타	0	<NA>	450	0	<NA>	11200	성동구	2022-09-13 00:00:00.0
9	1759	FGN999	기타	0	194	<NA>	0	<NA>	11200	성동구	2023-06-12 00:00:00.0

	대장관리번호	시설물 종류 코드	코드명	수량(개)	면적(㎡)	연장(m)	빗물 관리량(㎥/h)	저류 용량(㎥)	자치구코드	자치구명	준공일
572	1010	FGN001	투수성포장	1	400	100	7	<NA>	11680	강남구	2014-12-17 00:00:00.0
573	1009	FGN001	투수성포장	1	700	200	12	<NA>	11680	강남구	2014-12-17 00:00:00.0
574	1008	FGN001	투수성포장	1	200	80	3	<NA>	11680	강남구	2014-12-17 00:00:00.0
575	1007	FGN001	투수성포장	1	280	70	5	<NA>	11680	강남구	2015-01-28 00:00:00.0
576	1006	FGN001	투수성포장	1	920	230	16	<NA>	11680	강남구	2015-01-28 00:00:00.0
577	1005	FGN001	투수성포장	1	2145	330	36	<NA>	11680	강남구	2015-01-28 00:00:00.0
578	1004	FGN001	투수성포장	1	480	80	8	<NA>	11680	강남구	2014-12-19 00:00:00.0
579	1003	FGN001	투수성포장	1	245	35	4	<NA>	11680	강남구	2014-12-19 00:00:00.0
580	1002	FGN001	투수성포장	1	1045	190	18	<NA>	11680	강남구	2014-12-19 00:00:00.0
581	1001	FGN001	투수성포장	1	3900	530	66	<NA>	11680	강남구	2014-12-19 00:00:00.0

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Interactions

Correlations

Missing values

Sample