gimi9 Pandas Profiling

Dataset statistics

Number of variables	17
Number of observations	4695
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	660.4 KiB
Average record size in memory	144.0 B

Variable types

Numeric	8
Categorical	9

Dataset

Description	Sample
Author	(사)동아시아바다공동체오션
URL	https://www.bigdata-coast.kr/gdsInfo/gdsInfoDetail.do?gdsCd=CT08OSN008

Alerts

`DNF_SRC_NM` has constant value ""	Constant
`CST_NM` has constant value ""	Constant
`ADM_ZN_NM` is highly overall correlated with `STR_LA` and 4 other fields	High correlation
`QTMT_CD` is highly overall correlated with `QTMT_NM` and 2 other fields	High correlation
`IEM_NM` is highly overall correlated with `QTMT_NM` and 2 other fields	High correlation
`INVS_AREA_NM` is highly overall correlated with `STR_LA` and 4 other fields	High correlation
`IEM_CD` is highly overall correlated with `QTMT_NM` and 2 other fields	High correlation
`QTMT_NM` is highly overall correlated with `IEM_NM` and 2 other fields	High correlation
`INVS_YR` is highly overall correlated with `INVS_YMD`	High correlation
`IEM_CNT` is highly overall correlated with `METER_PER_IEM_CNT`	High correlation
`METER_PER_IEM_CNT` is highly overall correlated with `IEM_CNT`	High correlation
`INVS_YMD` is highly overall correlated with `INVS_YR`	High correlation
`STR_LA` is highly overall correlated with `END_LA` and 2 other fields	High correlation
`STR_LO` is highly overall correlated with `END_LO` and 2 other fields	High correlation
`END_LA` is highly overall correlated with `STR_LA` and 2 other fields	High correlation
`END_LO` is highly overall correlated with `STR_LO` and 2 other fields	High correlation
`ADM_ZN_NM` is highly imbalanced (68.3%)	Imbalance
`IEM_CNT` has 3115 (66.3%) zeros	Zeros
`METER_PER_IEM_CNT` has 3115 (66.3%) zeros	Zeros

Reproduction

Analysis started	2024-03-13 12:33:23.733657
Analysis finished	2024-03-13 12:33:39.645081
Duration	15.91 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

INVS_YR
Real number (ℝ)

HIGH CORRELATION

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2012.7732

Minimum	2008
Maximum	2017
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	41.4 KiB

Quantile statistics

Minimum	2008
5-th percentile	2008
Q1	2010
median	2013
Q3	2015
95-th percentile	2017
Maximum	2017
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.8729458
Coefficient of variation (CV)	0.0014273569
Kurtosis	-1.2412911
Mean	2012.7732
Median Absolute Deviation (MAD)	3
Skewness	-0.10376449
Sum	9449970
Variance	8.2538173
Monotonicity	Increasing

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2015	540	11.5%
2016	540	11.5%
2017	540	11.5%
2009	450	9.6%
2010	450	9.6%
2011	450	9.6%
2012	450	9.6%
2013	450	9.6%
2014	450	9.6%
2008	375	8.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2008	375	8.0%
2009	450	9.6%
2010	450	9.6%
2011	450	9.6%
2012	450	9.6%
2013	450	9.6%
2014	450	9.6%
2015	540	11.5%
2016	540	11.5%
2017	540	11.5%

Value	Count	Frequency (%)
2017	540	11.5%
2016	540	11.5%
2015	540	11.5%
2014	450	9.6%
2013	450	9.6%
2012	450	9.6%
2011	450	9.6%
2010	450	9.6%
2009	450	9.6%
2008	375	8.0%

INVS_DSRT
Categorical

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.8 KiB

2차	795
3차	795
4차	795
5차	795
6차	795

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
2차	795	16.9%
3차	795	16.9%
4차	795	16.9%
5차	795	16.9%
6차	795	16.9%
1차	720	15.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2차	795	16.9%
3차	795	16.9%
4차	795	16.9%
5차	795	16.9%
6차	795	16.9%
1차	720	15.3%

INVS_AREA_NM
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.8 KiB

신안 임자도	885
진도 하조도	885
해남 묵동리	885
고흥 신흥	885
여수 반월	885

Length

Max length	6
Median length	6
Mean length	5.6230032
Min length	5

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
신안 임자도	885	18.8%
진도 하조도	885	18.8%
해남 묵동리	885	18.8%
고흥 신흥	885	18.8%
여수 반월	885	18.8%
제주 사계리	270	5.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
신안	885	9.4%
임자도	885	9.4%
진도	885	9.4%
하조도	885	9.4%
해남	885	9.4%
묵동리	885	9.4%
고흥	885	9.4%
신흥	885	9.4%
여수	885	9.4%
반월	885	9.4%
Other values (2)	540	5.8%

DNF_SRC_NM
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.8 KiB

국내기인	4695

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
국내기인	4695	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
국내기인	4695	100.0%

QTMT_NM
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.8 KiB

플라스틱류	3443
금속	626
고무	313
의료 및 개인위생	313

Length

Max length	9
Median length	5
Mean length	4.6666667
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
플라스틱류	3443	73.3%
금속	626	13.3%
고무	313	6.7%
의료 및 개인위생	313	6.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
플라스틱류	3443	64.7%
금속	626	11.8%
고무	313	5.9%
의료	313	5.9%
및	313	5.9%
개인위생	313	5.9%

IEM_NM
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	36.8 KiB

비닐봉투, 비닐쇼핑백 등	313
6개들이 포장고리	313
장어/문어 통발	313
어망(2.5~50cm)	313
어망 (50cm 이상)	313
Other values (10)	3130

Length

Max length	22
Median length	15
Mean length	11.133333
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	비닐봉투, 비닐쇼핑백 등
2nd row	6개들이 포장고리
3rd row	장어/문어 통발
4th row	어망(2.5~50cm)
5th row	어망 (50cm 이상)

Common Values

Value	Count	Frequency (%)
비닐봉투, 비닐쇼핑백 등	313	6.7%
6개들이 포장고리	313	6.7%
장어/문어 통발	313	6.7%
어망(2.5~50cm)	313	6.7%
어망 (50cm 이상)	313	6.7%
밧줄/로프 (2.5~50cm)	313	6.7%
밧줄/로프 (50cm 이상)	313	6.7%
끈(플라스틱, 노끈) (2.5~50cm)	313	6.7%
끈(플라스틱, 노끈) (50cm 이상)	313	6.7%
낚시줄	313	6.7%
Other values (5)	1565	33.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
50cm	939	9.4%
이상	939	9.4%
2.5~50cm	626	6.2%
노끈	626	6.2%
밧줄/로프	626	6.2%
끈(플라스틱	626	6.2%
풍선	313	3.1%
스프링통발(그물포함	313	3.1%
낚싯바늘	313	3.1%
낚시추	313	3.1%
Other values (14)	4382	43.8%

IEM_CNT
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	105
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.828328

Minimum	0
Maximum	800
Zeros	3115
Zeros (%)	66.3%
Negative	0
Negative (%)	0.0%
Memory size	41.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	21
Maximum	800
Range	800
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	23.899786
Coefficient of variation (CV)	4.9499093
Kurtosis	411.20455
Mean	4.828328
Median Absolute Deviation (MAD)	0
Skewness	16.691695
Sum	22669
Variance	571.19975
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3115	66.3%
1	319	6.8%
2	235	5.0%
3	153	3.3%
4	100	2.1%
5	81	1.7%
6	62	1.3%
7	62	1.3%
10	49	1.0%
8	45	1.0%
Other values (95)	474	10.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3115	66.3%
1	319	6.8%
2	235	5.0%
3	153	3.3%
4	100	2.1%
5	81	1.7%
6	62	1.3%
7	62	1.3%
8	45	1.0%
9	23	0.5%

Value	Count	Frequency (%)
800	1	< 0.1%
590	1	< 0.1%
454	1	< 0.1%
450	1	< 0.1%
294	1	< 0.1%
251	1	< 0.1%
245	1	< 0.1%
240	1	< 0.1%
226	1	< 0.1%
225	1	< 0.1%

METER_PER_IEM_CNT
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	105
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.04828328

Minimum	0
Maximum	8
Zeros	3115
Zeros (%)	66.3%
Negative	0
Negative (%)	0.0%
Memory size	41.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.02
95-th percentile	0.21
Maximum	8
Range	8
Interquartile range (IQR)	0.02

Descriptive statistics

Standard deviation	0.23899786
Coefficient of variation (CV)	4.9499093
Kurtosis	411.20455
Mean	0.04828328
Median Absolute Deviation (MAD)	0
Skewness	16.691695
Sum	226.69
Variance	0.057119975
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	3115	66.3%
0.01	319	6.8%
0.02	235	5.0%
0.03	153	3.3%
0.04	100	2.1%
0.05	81	1.7%
0.06	62	1.3%
0.07	62	1.3%
0.1	49	1.0%
0.08	45	1.0%
Other values (95)	474	10.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	3115	66.3%
0.01	319	6.8%
0.02	235	5.0%
0.03	153	3.3%
0.04	100	2.1%
0.05	81	1.7%
0.06	62	1.3%
0.07	62	1.3%
0.08	45	1.0%
0.09	23	0.5%

Value	Count	Frequency (%)
8.0	1	< 0.1%
5.9	1	< 0.1%
4.54	1	< 0.1%
4.5	1	< 0.1%
2.94	1	< 0.1%
2.51	1	< 0.1%
2.45	1	< 0.1%
2.4	1	< 0.1%
2.26	1	< 0.1%
2.25	1	< 0.1%

ADM_ZN_NM
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.8 KiB

전남	4425
제주	270

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
전남	4425	94.2%
제주	270	5.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
전남	4425	94.2%
제주	270	5.8%

QTMT_CD
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.8 KiB

PL	3443
ME	626
RB	313
MH	313

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
PL	3443	73.3%
ME	626	13.3%
RB	313	6.7%
MH	313	6.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
pl	3443	73.3%
me	626	13.3%
rb	313	6.7%
mh	313	6.7%

IEM_CD
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	36.8 KiB

PL_1_01	313
PL_1_07	313
PL_1_15	313
PL_1_16	313
PL_1_17	313
Other values (10)	3130

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PL_1_01
2nd row	PL_1_07
3rd row	PL_1_15
4th row	PL_1_16
5th row	PL_1_17

Common Values

Value	Count	Frequency (%)
PL_1_01	313	6.7%
PL_1_07	313	6.7%
PL_1_15	313	6.7%
PL_1_16	313	6.7%
PL_1_17	313	6.7%
PL_1_20	313	6.7%
PL_1_21	313	6.7%
PL_1_22	313	6.7%
PL_1_23	313	6.7%
PL_1_30	313	6.7%
Other values (5)	1565	33.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pl_1_01	313	6.7%
pl_1_07	313	6.7%
pl_1_15	313	6.7%
pl_1_16	313	6.7%
pl_1_17	313	6.7%
pl_1_20	313	6.7%
pl_1_21	313	6.7%
pl_1_22	313	6.7%
pl_1_23	313	6.7%
pl_1_30	313	6.7%
Other values (5)	1565	33.3%

INVS_YMD
Real number (ℝ)

HIGH CORRELATION

Distinct	270
Distinct (%)	5.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20128404

Minimum	20080329
Maximum	20171207
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	41.4 KiB

Quantile statistics

Minimum	20080329
5-th percentile	20080926
Q1	20101003
median	20130601
Q3	20151103
95-th percentile	20170728
Maximum	20171207
Range	90878
Interquartile range (IQR)	50100

Descriptive statistics

Standard deviation	28724.087
Coefficient of variation (CV)	0.0014270424
Kurtosis	-1.2425567
Mean	20128404
Median Absolute Deviation (MAD)	29396
Skewness	-0.10296519
Sum	9.4502857 × 10¹⁰
Variance	8.2507318 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20080329	60	1.3%
20090329	60	1.3%
20080531	45	1.0%
20100130	45	1.0%
20100529	45	1.0%
20090531	45	1.0%
20100731	45	1.0%
20160205	45	1.0%
20160529	30	0.6%
20170403	30	0.6%
Other values (260)	4245	90.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20080329	60	1.3%
20080404	15	0.3%
20080530	30	0.6%
20080531	45	1.0%
20080726	15	0.3%
20080728	15	0.3%
20080731	30	0.6%
20080801	15	0.3%
20080926	15	0.3%
20080928	15	0.3%

Value	Count	Frequency (%)
20171207	15	0.3%
20171206	15	0.3%
20171202	15	0.3%
20171128	15	0.3%
20171126	15	0.3%
20171123	15	0.3%
20171002	15	0.3%
20170930	30	0.6%
20170929	15	0.3%
20170928	15	0.3%

CST_NM
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.8 KiB

서남해안	4695

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
서남해안	4695	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
서남해안	4695	100.0%

STR_LA
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.552793

Minimum	33.222112
Maximum	35.140523
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	41.4 KiB

Quantile statistics

Minimum	33.222112
5-th percentile	33.222112
Q1	34.353639
median	34.584309
Q3	34.80759
95-th percentile	35.140523
Maximum	35.140523
Range	1.918411
Interquartile range (IQR)	0.453951

Descriptive statistics

Standard deviation	0.44779222
Coefficient of variation (CV)	0.012959653
Kurtosis	2.101271
Mean	34.552793
Median Absolute Deviation (MAD)	0.23067
Skewness	-1.1062337
Sum	162225.36
Variance	0.20051787
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
35.140523	885	18.8%
34.283875	885	18.8%
34.353639	885	18.8%
34.584309	885	18.8%
34.80759	885	18.8%
33.222112	270	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
33.222112	270	5.8%
34.283875	885	18.8%
34.353639	885	18.8%
34.584309	885	18.8%
34.80759	885	18.8%
35.140523	885	18.8%

Value	Count	Frequency (%)
35.140523	885	18.8%
34.80759	885	18.8%
34.584309	885	18.8%
34.353639	885	18.8%
34.283875	885	18.8%
33.222112	270	5.8%

STR_LO
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	126.67699

Minimum	126.0732
Maximum	127.55618
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	41.4 KiB

Quantile statistics

Minimum	126.0732
5-th percentile	126.0732
Q1	126.11558
median	126.61109
Q3	127.14506
95-th percentile	127.55618
Maximum	127.55618
Range	1.482985
Interquartile range (IQR)	1.029487

Descriptive statistics

Standard deviation	0.56952487
Coefficient of variation (CV)	0.0044958825
Kurtosis	-1.4154112
Mean	126.67699
Median Absolute Deviation (MAD)	0.533974
Skewness	0.37569251
Sum	594748.48
Variance	0.32435857
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
126.115576	885	18.8%
126.073198	885	18.8%
126.611089	885	18.8%
127.145063	885	18.8%
127.556183	885	18.8%
126.296288	270	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126.073198	885	18.8%
126.115576	885	18.8%
126.296288	270	5.8%
126.611089	885	18.8%
127.145063	885	18.8%
127.556183	885	18.8%

Value	Count	Frequency (%)
127.556183	885	18.8%
127.145063	885	18.8%
126.611089	885	18.8%
126.296288	270	5.8%
126.115576	885	18.8%
126.073198	885	18.8%

END_LA
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.552602

Minimum	33.223216
Maximum	35.139151
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	41.4 KiB

Quantile statistics

Minimum	33.223216
5-th percentile	33.223216
Q1	34.352882
median	34.586191
Q3	34.807212
95-th percentile	35.139151
Maximum	35.139151
Range	1.915935
Interquartile range (IQR)	0.45433

Descriptive statistics

Standard deviation	0.44739536
Coefficient of variation (CV)	0.012948239
Kurtosis	2.0975995
Mean	34.552602
Median Absolute Deviation (MAD)	0.233309
Skewness	-1.1077853
Sum	162224.47
Variance	0.20016261
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
35.139151	885	18.8%
34.283149	885	18.8%
34.352882	885	18.8%
34.586191	885	18.8%
34.807212	885	18.8%
33.223216	270	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
33.223216	270	5.8%
34.283149	885	18.8%
34.352882	885	18.8%
34.586191	885	18.8%
34.807212	885	18.8%
35.139151	885	18.8%

Value	Count	Frequency (%)
35.139151	885	18.8%
34.807212	885	18.8%
34.586191	885	18.8%
34.352882	885	18.8%
34.283149	885	18.8%
33.223216	270	5.8%

END_LO
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	126.67706

Minimum	126.07261
Maximum	127.55696
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	41.4 KiB

Quantile statistics

Minimum	126.07261
5-th percentile	126.07261
Q1	126.11579
median	126.61001
Q3	127.14585
95-th percentile	127.55696
Maximum	127.55696
Range	1.484347
Interquartile range (IQR)	1.03007

Descriptive statistics

Standard deviation	0.56994432
Coefficient of variation (CV)	0.0044991913
Kurtosis	-1.415336
Mean	126.67706
Median Absolute Deviation (MAD)	0.535842
Skewness	0.37650912
Sum	594748.79
Variance	0.32483652
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
126.115785	885	18.8%
126.072609	885	18.8%
126.610013	885	18.8%
127.145855	885	18.8%
127.556956	885	18.8%
126.297093	270	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126.072609	885	18.8%
126.115785	885	18.8%
126.297093	270	5.8%
126.610013	885	18.8%
127.145855	885	18.8%
127.556956	885	18.8%

Value	Count	Frequency (%)
127.556956	885	18.8%
127.145855	885	18.8%
126.610013	885	18.8%
126.297093	270	5.8%
126.115785	885	18.8%
126.072609	885	18.8%

Heatmap
Table

	INVS_YR	INVS_DSRT	INVS_AREA_NM	QTMT_NM	IEM_NM	IEM_CNT	METER_PER_IEM_CNT	ADM_ZN_NM	QTMT_CD	IEM_CD	INVS_YMD	STR_LA	STR_LO	END_LA	END_LO
INVS_YR	1.000	0.000	0.280	0.000	0.000	0.046	0.038	0.331	0.000	0.000	1.000	0.273	0.273	0.273	0.273
INVS_DSRT	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.104	0.000	0.000	0.000	0.000
INVS_AREA_NM	0.280	0.000	1.000	0.000	0.000	0.099	0.099	1.000	0.000	0.000	0.271	1.000	1.000	1.000	1.000
QTMT_NM	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.000	0.000	0.000
IEM_NM	0.000	0.000	0.000	1.000	1.000	0.112	0.116	0.000	1.000	1.000	0.000	0.000	0.000	0.000	0.000
IEM_CNT	0.046	0.000	0.099	0.000	0.112	1.000	1.000	0.000	0.000	0.112	0.056	0.107	0.107	0.107	0.107
METER_PER_IEM_CNT	0.038	0.000	0.099	0.000	0.116	1.000	1.000	0.000	0.000	0.116	0.051	0.107	0.107	0.107	0.107
ADM_ZN_NM	0.331	0.000	1.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.438	1.000	1.000	1.000	1.000
QTMT_CD	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.000	0.000	0.000
IEM_CD	0.000	0.000	0.000	1.000	1.000	0.112	0.116	0.000	1.000	1.000	0.000	0.000	0.000	0.000	0.000
INVS_YMD	1.000	0.104	0.271	0.000	0.000	0.056	0.051	0.438	0.000	0.000	1.000	0.374	0.374	0.374	0.374
STR_LA	0.273	0.000	1.000	0.000	0.000	0.107	0.107	1.000	0.000	0.000	0.374	1.000	0.995	1.000	0.995
STR_LO	0.273	0.000	1.000	0.000	0.000	0.107	0.107	1.000	0.000	0.000	0.374	0.995	1.000	0.995	1.000
END_LA	0.273	0.000	1.000	0.000	0.000	0.107	0.107	1.000	0.000	0.000	0.374	1.000	0.995	1.000	0.995
END_LO	0.273	0.000	1.000	0.000	0.000	0.107	0.107	1.000	0.000	0.000	0.374	0.995	1.000	0.995	1.000

Heatmap
Table

	ADM_ZN_NM	QTMT_CD	IEM_NM	INVS_AREA_NM	IEM_CD	QTMT_NM	INVS_DSRT
ADM_ZN_NM	1.000	0.000	0.000	1.000	0.000	0.000	0.000
QTMT_CD	0.000	1.000	0.999	0.000	0.999	1.000	0.000
IEM_NM	0.000	0.999	1.000	0.000	1.000	0.999	0.000
INVS_AREA_NM	1.000	0.000	0.000	1.000	0.000	0.000	0.000
IEM_CD	0.000	0.999	1.000	0.000	1.000	0.999	0.000
QTMT_NM	0.000	1.000	0.999	0.000	0.999	1.000	0.000
INVS_DSRT	0.000	0.000	0.000	0.000	0.000	0.000	1.000

Heatmap
Table

	INVS_YR	IEM_CNT	METER_PER_IEM_CNT	INVS_YMD	STR_LA	STR_LO	END_LA	END_LO	INVS_DSRT	INVS_AREA_NM	QTMT_NM	IEM_NM	ADM_ZN_NM	QTMT_CD	IEM_CD
INVS_YR	1.000	-0.053	-0.053	0.995	-0.116	-0.023	-0.116	-0.023	0.035	0.146	0.000	0.000	0.338	0.000	0.000
IEM_CNT	-0.053	1.000	1.000	-0.050	0.047	0.047	0.047	0.047	0.000	0.060	0.000	0.052	0.000	0.000	0.052
METER_PER_IEM_CNT	-0.053	1.000	1.000	-0.050	0.047	0.047	0.047	0.047	0.000	0.060	0.000	0.052	0.000	0.000	0.052
INVS_YMD	0.995	-0.050	-0.050	1.000	-0.114	-0.023	-0.114	-0.023	0.035	0.146	0.000	0.000	0.338	0.000	0.000
STR_LA	-0.116	0.047	0.047	-0.114	1.000	0.366	1.000	0.366	0.000	1.000	0.000	0.000	1.000	0.000	0.000
STR_LO	-0.023	0.047	0.047	-0.023	0.366	1.000	0.366	1.000	0.000	1.000	0.000	0.000	1.000	0.000	0.000
END_LA	-0.116	0.047	0.047	-0.114	1.000	0.366	1.000	0.366	0.000	1.000	0.000	0.000	1.000	0.000	0.000
END_LO	-0.023	0.047	0.047	-0.023	0.366	1.000	0.366	1.000	0.000	1.000	0.000	0.000	1.000	0.000	0.000
INVS_DSRT	0.035	0.000	0.000	0.035	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000
INVS_AREA_NM	0.146	0.060	0.060	0.146	1.000	1.000	1.000	1.000	0.000	1.000	0.000	0.000	1.000	0.000	0.000
QTMT_NM	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.999	0.000	1.000	0.999
IEM_NM	0.000	0.052	0.052	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.999	1.000	0.000	0.999	1.000
ADM_ZN_NM	0.338	0.000	0.000	0.338	1.000	1.000	1.000	1.000	0.000	1.000	0.000	0.000	1.000	0.000	0.000
QTMT_CD	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.999	0.000	1.000	0.999
IEM_CD	0.000	0.052	0.052	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.999	1.000	0.000	0.999	1.000

Count
Matrix

A simple visualization of nullity by column.

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

First rows
Last rows

	INVS_YR	INVS_DSRT	INVS_AREA_NM	DNF_SRC_NM	QTMT_NM	IEM_NM	IEM_CNT	METER_PER_IEM_CNT	ADM_ZN_NM	QTMT_CD	IEM_CD	INVS_YMD	CST_NM	STR_LA	STR_LO	END_LA	END_LO
0	2008	2차	신안 임자도	국내기인	플라스틱류	비닐봉투, 비닐쇼핑백 등	3	0.03	전남	PL	PL_1_01	20080329	서남해안	35.140523	126.115576	35.139151	126.115785
1	2008	2차	신안 임자도	국내기인	플라스틱류	6개들이 포장고리	0	0.0	전남	PL	PL_1_07	20080329	서남해안	35.140523	126.115576	35.139151	126.115785
2	2008	2차	신안 임자도	국내기인	플라스틱류	장어/문어 통발	0	0.0	전남	PL	PL_1_15	20080329	서남해안	35.140523	126.115576	35.139151	126.115785
3	2008	2차	신안 임자도	국내기인	플라스틱류	어망(2.5~50cm)	0	0.0	전남	PL	PL_1_16	20080329	서남해안	35.140523	126.115576	35.139151	126.115785
4	2008	2차	신안 임자도	국내기인	플라스틱류	어망 (50cm 이상)	0	0.0	전남	PL	PL_1_17	20080329	서남해안	35.140523	126.115576	35.139151	126.115785
5	2008	2차	신안 임자도	국내기인	플라스틱류	밧줄/로프 (2.5~50cm)	0	0.0	전남	PL	PL_1_20	20080329	서남해안	35.140523	126.115576	35.139151	126.115785
6	2008	2차	신안 임자도	국내기인	플라스틱류	밧줄/로프 (50cm 이상)	0	0.0	전남	PL	PL_1_21	20080329	서남해안	35.140523	126.115576	35.139151	126.115785
7	2008	2차	신안 임자도	국내기인	플라스틱류	끈(플라스틱, 노끈) (2.5~50cm)	32	0.32	전남	PL	PL_1_22	20080329	서남해안	35.140523	126.115576	35.139151	126.115785
8	2008	2차	신안 임자도	국내기인	플라스틱류	끈(플라스틱, 노끈) (50cm 이상)	4	0.04	전남	PL	PL_1_23	20080329	서남해안	35.140523	126.115576	35.139151	126.115785
9	2008	2차	신안 임자도	국내기인	플라스틱류	낚시줄	0	0.0	전남	PL	PL_1_30	20080329	서남해안	35.140523	126.115576	35.139151	126.115785

	INVS_YR	INVS_DSRT	INVS_AREA_NM	DNF_SRC_NM	QTMT_NM	IEM_NM	IEM_CNT	METER_PER_IEM_CNT	ADM_ZN_NM	QTMT_CD	IEM_CD	INVS_YMD	CST_NM	STR_LA	STR_LO	END_LA	END_LO
4685	2017	6차	제주 사계리	국내기인	플라스틱류	밧줄/로프 (2.5~50cm)	0	0.0	제주	PL	PL_1_20	20171206	서남해안	33.222112	126.296288	33.223216	126.297093
4686	2017	6차	제주 사계리	국내기인	플라스틱류	밧줄/로프 (50cm 이상)	0	0.0	제주	PL	PL_1_21	20171206	서남해안	33.222112	126.296288	33.223216	126.297093
4687	2017	6차	제주 사계리	국내기인	플라스틱류	끈(플라스틱, 노끈) (2.5~50cm)	1	0.01	제주	PL	PL_1_22	20171206	서남해안	33.222112	126.296288	33.223216	126.297093
4688	2017	6차	제주 사계리	국내기인	플라스틱류	끈(플라스틱, 노끈) (50cm 이상)	0	0.0	제주	PL	PL_1_23	20171206	서남해안	33.222112	126.296288	33.223216	126.297093
4689	2017	6차	제주 사계리	국내기인	플라스틱류	낚시줄	0	0.0	제주	PL	PL_1_30	20171206	서남해안	33.222112	126.296288	33.223216	126.297093
4690	2017	6차	제주 사계리	국내기인	플라스틱류	가짜미끼, 형광찌	0	0.0	제주	PL	PL_1_31	20171206	서남해안	33.222112	126.296288	33.223216	126.297093
4691	2017	6차	제주 사계리	국내기인	금속	납 낚시추, 낚싯바늘	0	0.0	제주	ME	ME_1_06	20171206	서남해안	33.222112	126.296288	33.223216	126.297093
4692	2017	6차	제주 사계리	국내기인	금속	스프링통발(그물포함)	0	0.0	제주	ME	ME_1_07	20171206	서남해안	33.222112	126.296288	33.223216	126.297093
4693	2017	6차	제주 사계리	국내기인	고무	풍선	0	0.0	제주	RB	RB_1_02	20171206	서남해안	33.222112	126.296288	33.223216	126.297093
4694	2017	6차	제주 사계리	국내기인	의료 및 개인위생	주사기	0	0.0	제주	MH	MH_1_02	20171206	서남해안	33.222112	126.296288	33.223216	126.297093

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample