gimi9 Pandas Profiling

Dataset statistics

Number of variables	18
Number of observations	43
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	6.9 KiB
Average record size in memory	165.1 B

Variable types

Numeric	17
Categorical	1

Dataset

Description	한국광해광업공단은 석탄산업의 생산 기반 유지와 연탄의 안정적인 공급을 위해 석·연탄산업 지원 사업을 실시하고 있으며 이를 통해 자원안보와 서민생활보호 및 폐광지역 고용창출 등에 이바지하고 있습니다. 무연탄 소비현황을 부분별, 계절별, 월별, 지역별 등으로 구분하여 정보 제공합니다.
URL	https://www.data.go.kr/data/15068070/fileData.do

Alerts

`연도` is highly overall correlated with `서울특별시(천톤)` and 12 other fields	High correlation
`서울특별시(천톤)` is highly overall correlated with `연도` and 12 other fields	High correlation
`부산광역시(천톤)` is highly overall correlated with `연도` and 12 other fields	High correlation
`대구광역시(천톤)` is highly overall correlated with `연도` and 12 other fields	High correlation
`인천광역시(천톤)` is highly overall correlated with `연도` and 12 other fields	High correlation
`광주광역시(천톤)` is highly overall correlated with `대전광역시(천톤)`	High correlation
`대전광역시(천톤)` is highly overall correlated with `광주광역시(천톤)`	High correlation
`경기도(천톤)` is highly overall correlated with `연도` and 12 other fields	High correlation
`강원특별자치도(천톤)` is highly overall correlated with `연도` and 12 other fields	High correlation
`충청북도(천톤)` is highly overall correlated with `연도` and 12 other fields	High correlation
`충청남도(천톤)` is highly overall correlated with `연도` and 12 other fields	High correlation
`전라북도(천톤)` is highly overall correlated with `연도` and 12 other fields	High correlation
`전라남도(천톤)` is highly overall correlated with `연도` and 12 other fields	High correlation
`경상북도(천톤)` is highly overall correlated with `연도` and 12 other fields	High correlation
`경상남도(천톤)` is highly overall correlated with `연도` and 12 other fields	High correlation
`제주특별자치도(천톤)` is highly overall correlated with `연도` and 12 other fields	High correlation
`세종특별자치시(천톤)` is highly imbalanced (72.8%)	Imbalance
`연도` has unique values	Unique
`강원특별자치도(천톤)` has unique values	Unique
`부산광역시(천톤)` has 5 (11.6%) zeros	Zeros
`대구광역시(천톤)` has 5 (11.6%) zeros	Zeros
`인천광역시(천톤)` has 23 (53.5%) zeros	Zeros
`광주광역시(천톤)` has 6 (14.0%) zeros	Zeros
`대전광역시(천톤)` has 8 (18.6%) zeros	Zeros
`경상남도(천톤)` has 1 (2.3%) zeros	Zeros
`제주특별자치도(천톤)` has 18 (41.9%) zeros	Zeros
`기타(천톤)` has 36 (83.7%) zeros	Zeros

Reproduction

Analysis started	2023-12-12 01:57:35.487647
Analysis finished	2023-12-12 01:58:07.130756
Duration	31.64 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

연도
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	43
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2001

Minimum	1980
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	1980
5-th percentile	1982.1
Q1	1990.5
median	2001
Q3	2011.5
95-th percentile	2019.9
Maximum	2022
Range	42
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	12.556539
Coefficient of variation (CV)	0.0062751318
Kurtosis	-1.2
Mean	2001
Median Absolute Deviation (MAD)	11
Skewness	0
Sum	86043
Variance	157.66667
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
1980	1	2.3%
1981	1	2.3%
2004	1	2.3%
2005	1	2.3%
2006	1	2.3%
2007	1	2.3%
2008	1	2.3%
2009	1	2.3%
2010	1	2.3%
2011	1	2.3%
Other values (33)	33	76.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1980	1	2.3%
1981	1	2.3%
1982	1	2.3%
1983	1	2.3%
1984	1	2.3%
1985	1	2.3%
1986	1	2.3%
1987	1	2.3%
1988	1	2.3%
1989	1	2.3%

Value	Count	Frequency (%)
2022	1	2.3%
2021	1	2.3%
2020	1	2.3%
2019	1	2.3%
2018	1	2.3%
2017	1	2.3%
2016	1	2.3%
2015	1	2.3%
2014	1	2.3%
2013	1	2.3%

서울특별시(천톤)
Real number (ℝ)

HIGH CORRELATION

Distinct	41
Distinct (%)	95.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2408.2326

Minimum	60
Maximum	9108
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	60
5-th percentile	88.8
Q1	220
median	292
Q3	5497
95-th percentile	8678.4
Maximum	9108
Range	9048
Interquartile range (IQR)	5277

Descriptive statistics

Standard deviation	3300.5243
Coefficient of variation (CV)	1.3705173
Kurtosis	-0.70576791
Mean	2408.2326
Median Absolute Deviation (MAD)	149
Skewness	1.0484543
Sum	103554
Variance	10893461
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
300	2	4.7%
259	2	4.7%
7460	1	2.3%
290	1	2.3%
180	1	2.3%
209	1	2.3%
310	1	2.3%
320	1	2.3%
248	1	2.3%
247	1	2.3%
Other values (31)	31	72.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
60	1	2.3%
71	1	2.3%
87	1	2.3%
105	1	2.3%
143	1	2.3%
177	1	2.3%
180	1	2.3%
192	1	2.3%
193	1	2.3%
209	1	2.3%

Value	Count	Frequency (%)
9108	1	2.3%
8766	1	2.3%
8728	1	2.3%
8232	1	2.3%
8212	1	2.3%
7460	1	2.3%
7429	1	2.3%
7051	1	2.3%
6808	1	2.3%
6791	1	2.3%

부산광역시(천톤)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	35
Distinct (%)	81.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	574.02326

Minimum	0
Maximum	2081
Zeros	5
Zeros (%)	11.6%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	33
median	52
Q3	1306
95-th percentile	2004.4
Maximum	2081
Range	2081
Interquartile range (IQR)	1273

Descriptive statistics

Standard deviation	811.01748
Coefficient of variation (CV)	1.4128652
Kurtosis	-0.83798398
Mean	574.02326
Median Absolute Deviation (MAD)	52
Skewness	1.0114874
Sum	24683
Variance	657749.36
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
0	5	11.6%
37	2	4.7%
52	2	4.7%
41	2	4.7%
38	2	4.7%
21	1	2.3%
25	1	2.3%
30	1	2.3%
32	1	2.3%
1968	1	2.3%
Other values (25)	25	58.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	11.6%
7	1	2.3%
17	1	2.3%
21	1	2.3%
25	1	2.3%
30	1	2.3%
32	1	2.3%
34	1	2.3%
37	2	4.7%
38	2	4.7%

Value	Count	Frequency (%)
2081	1	2.3%
2077	1	2.3%
2007	1	2.3%
1981	1	2.3%
1968	1	2.3%
1915	1	2.3%
1869	1	2.3%
1834	1	2.3%
1801	1	2.3%
1693	1	2.3%

대구광역시(천톤)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	38
Distinct (%)	88.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	423.02326

Minimum	0
Maximum	1496
Zeros	5
Zeros (%)	11.6%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	41.5
median	121
Q3	809.5
95-th percentile	1446.8
Maximum	1496
Range	1496
Interquartile range (IQR)	768

Descriptive statistics

Standard deviation	556.22574
Coefficient of variation (CV)	1.3148822
Kurtosis	-0.62186434
Mean	423.02326
Median Absolute Deviation (MAD)	87
Skewness	1.0959613
Sum	18190
Variance	309387.07
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
0	5	11.6%
117	2	4.7%
134	1	2.3%
33	1	2.3%
41	1	2.3%
73	1	2.3%
124	1	2.3%
159	1	2.3%
148	1	2.3%
169	1	2.3%
Other values (28)	28	65.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	11.6%
14	1	2.3%
33	1	2.3%
34	1	2.3%
37	1	2.3%
39	1	2.3%
41	1	2.3%
42	1	2.3%
55	1	2.3%
59	1	2.3%

Value	Count	Frequency (%)
1496	1	2.3%
1459	1	2.3%
1449	1	2.3%
1427	1	2.3%
1425	1	2.3%
1410	1	2.3%
1329	1	2.3%
1273	1	2.3%
1261	1	2.3%
1142	1	2.3%

인천광역시(천톤)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	21
Distinct (%)	48.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	237.65116

Minimum	0
Maximum	1177
Zeros	23
Zeros (%)	53.5%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	410.5
95-th percentile	969
Maximum	1177
Range	1177
Interquartile range (IQR)	410.5

Descriptive statistics

Standard deviation	379.31159
Coefficient of variation (CV)	1.5960856
Kurtosis	0.061759511
Mean	237.65116
Median Absolute Deviation (MAD)	0
Skewness	1.2927263
Sum	10219
Variance	143877.28
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
0	23	53.5%
844	1	2.3%
7	1	2.3%
17	1	2.3%
19	1	2.3%
27	1	2.3%
54	1	2.3%
83	1	2.3%
132	1	2.3%
227	1	2.3%
Other values (11)	11	25.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	23	53.5%
7	1	2.3%
17	1	2.3%
19	1	2.3%
27	1	2.3%
54	1	2.3%
83	1	2.3%
132	1	2.3%
227	1	2.3%
327	1	2.3%

Value	Count	Frequency (%)
1177	1	2.3%
1080	1	2.3%
970	1	2.3%
960	1	2.3%
855	1	2.3%
844	1	2.3%
802	1	2.3%
781	1	2.3%
699	1	2.3%
664	1	2.3%

광주광역시(천톤)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	35
Distinct (%)	81.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	170.23256

Minimum	0
Maximum	818
Zeros	6
Zeros (%)	14.0%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	35.5
median	63
Q3	87
95-th percentile	789.1
Maximum	818
Range	818
Interquartile range (IQR)	51.5

Descriptive statistics

Standard deviation	262.81578
Coefficient of variation (CV)	1.5438632
Kurtosis	1.6775492
Mean	170.23256
Median Absolute Deviation (MAD)	25
Skewness	1.8078064
Sum	7320
Variance	69072.135
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
0	6	14.0%
74	2	4.7%
48	2	4.7%
78	2	4.7%
19	1	2.3%
25	1	2.3%
33	1	2.3%
38	1	2.3%
41	1	2.3%
66	1	2.3%
Other values (25)	25	58.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6	14.0%
14	1	2.3%
16	1	2.3%
19	1	2.3%
25	1	2.3%
33	1	2.3%
38	1	2.3%
41	1	2.3%
44	1	2.3%
46	1	2.3%

Value	Count	Frequency (%)
818	1	2.3%
813	1	2.3%
790	1	2.3%
781	1	2.3%
776	1	2.3%
664	1	2.3%
500	1	2.3%
370	1	2.3%
218	1	2.3%
110	1	2.3%

대전광역시(천톤)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	35
Distinct (%)	81.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	113.16279

Minimum	0
Maximum	631
Zeros	8
Zeros (%)	18.6%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	26
median	59
Q3	105
95-th percentile	535.2
Maximum	631
Range	631
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	156.48306
Coefficient of variation (CV)	1.3828138
Kurtosis	4.2142513
Mean	113.16279
Median Absolute Deviation (MAD)	44
Skewness	2.2289665
Sum	4866
Variance	24486.949
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
0	8	18.6%
103	2	4.7%
631	1	2.3%
94	1	2.3%
116	1	2.3%
106	1	2.3%
107	1	2.3%
108	1	2.3%
95	1	2.3%
91	1	2.3%
Other values (25)	25	58.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	18.6%
16	1	2.3%
17	1	2.3%
23	1	2.3%
29	1	2.3%
34	1	2.3%
43	1	2.3%
44	1	2.3%
46	1	2.3%
48	1	2.3%

Value	Count	Frequency (%)
631	1	2.3%
553	1	2.3%
545	1	2.3%
447	1	2.3%
359	1	2.3%
259	1	2.3%
160	1	2.3%
116	1	2.3%
108	1	2.3%
107	1	2.3%

경기도(천톤)
Real number (ℝ)

HIGH CORRELATION

Distinct	41
Distinct (%)	95.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	489.86047

Minimum	39
Maximum	1705
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	39
5-th percentile	42
Q1	121
median	158
Q3	1026.5
95-th percentile	1596.5
Maximum	1705
Range	1666
Interquartile range (IQR)	905.5

Descriptive statistics

Standard deviation	568.36703
Coefficient of variation (CV)	1.1602631
Kurtosis	-0.54896251
Mean	489.86047
Median Absolute Deviation (MAD)	79
Skewness	1.075468
Sum	21064
Variance	323041.08
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
121	2	4.7%
42	2	4.7%
1599	1	2.3%
126	1	2.3%
125	1	2.3%
207	1	2.3%
185	1	2.3%
158	1	2.3%
176	1	2.3%
148	1	2.3%
Other values (31)	31	72.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
39	1	2.3%
41	1	2.3%
42	2	4.7%
47	1	2.3%
57	1	2.3%
79	1	2.3%
89	1	2.3%
99	1	2.3%
115	1	2.3%
121	2	4.7%

Value	Count	Frequency (%)
1705	1	2.3%
1604	1	2.3%
1599	1	2.3%
1574	1	2.3%
1485	1	2.3%
1356	1	2.3%
1331	1	2.3%
1323	1	2.3%
1133	1	2.3%
1068	1	2.3%

강원특별자치도(천톤)
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	43
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	405.44186

Minimum	77
Maximum	1013
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	77
5-th percentile	81.2
Q1	172
median	256
Q3	753
95-th percentile	978.1
Maximum	1013
Range	936
Interquartile range (IQR)	581

Descriptive statistics

Standard deviation	319.69057
Coefficient of variation (CV)	0.78849917
Kurtosis	-0.92344808
Mean	405.44186
Median Absolute Deviation (MAD)	97
Skewness	0.87821447
Sum	17434
Variance	102202.06
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
744	1	2.3%
797	1	2.3%
181	1	2.3%
233	1	2.3%
268	1	2.3%
261	1	2.3%
299	1	2.3%
272	1	2.3%
258	1	2.3%
245	1	2.3%
Other values (33)	33	76.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
77	1	2.3%
78	1	2.3%
79	1	2.3%
101	1	2.3%
144	1	2.3%
150	1	2.3%
154	1	2.3%
159	1	2.3%
162	1	2.3%
167	1	2.3%

Value	Count	Frequency (%)
1013	1	2.3%
1000	1	2.3%
980	1	2.3%
961	1	2.3%
959	1	2.3%
919	1	2.3%
903	1	2.3%
799	1	2.3%
797	1	2.3%
770	1	2.3%

충청북도(천톤)
Real number (ℝ)

HIGH CORRELATION

Distinct	41
Distinct (%)	95.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	342.51163

Minimum	40
Maximum	902
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	40
5-th percentile	71.6
Q1	148
median	254
Q3	569
95-th percentile	831.4
Maximum	902
Range	862
Interquartile range (IQR)	421

Descriptive statistics

Standard deviation	255.29445
Coefficient of variation (CV)	0.74535995
Kurtosis	-0.58317759
Mean	342.51163
Median Absolute Deviation (MAD)	121
Skewness	0.86030521
Sum	14728
Variance	65175.256
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
148	2	4.7%
256	2	4.7%
602	1	2.3%
278	1	2.3%
293	1	2.3%
342	1	2.3%
287	1	2.3%
299	1	2.3%
252	1	2.3%
254	1	2.3%
Other values (31)	31	72.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
40	1	2.3%
47	1	2.3%
71	1	2.3%
77	1	2.3%
82	1	2.3%
93	1	2.3%
97	1	2.3%
126	1	2.3%
133	1	2.3%
140	1	2.3%

Value	Count	Frequency (%)
902	1	2.3%
833	1	2.3%
832	1	2.3%
826	1	2.3%
753	1	2.3%
740	1	2.3%
694	1	2.3%
619	1	2.3%
610	1	2.3%
602	1	2.3%

충청남도(천톤)
Real number (ℝ)

HIGH CORRELATION

Distinct	40
Distinct (%)	93.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	369.25581

Minimum	13
Maximum	1471
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	13
5-th percentile	17.6
Q1	50
median	104
Q3	800
95-th percentile	1293.5
Maximum	1471
Range	1458
Interquartile range (IQR)	750

Descriptive statistics

Standard deviation	457.45945
Coefficient of variation (CV)	1.2388686
Kurtosis	-0.12618883
Mean	369.25581
Median Absolute Deviation (MAD)	68
Skewness	1.1420791
Sum	15878
Variance	209269.15
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
915	3	7.0%
105	2	4.7%
760	1	2.3%
52	1	2.3%
119	1	2.3%
129	1	2.3%
104	1	2.3%
100	1	2.3%
96	1	2.3%
99	1	2.3%
Other values (30)	30	69.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	1	2.3%
16	1	2.3%
17	1	2.3%
23	1	2.3%
30	1	2.3%
33	1	2.3%
36	1	2.3%
42	1	2.3%
44	1	2.3%
47	1	2.3%

Value	Count	Frequency (%)
1471	1	2.3%
1453	1	2.3%
1307	1	2.3%
1172	1	2.3%
966	1	2.3%
958	1	2.3%
915	3	7.0%
864	1	2.3%
840	1	2.3%
760	1	2.3%

전라북도(천톤)
Real number (ℝ)

HIGH CORRELATION

Distinct	38
Distinct (%)	88.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	302.81395

Minimum	9
Maximum	1045
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	9
5-th percentile	11.4
Q1	52
median	71
Q3	654
95-th percentile	992.1
Maximum	1045
Range	1036
Interquartile range (IQR)	602

Descriptive statistics

Standard deviation	364.75101
Coefficient of variation (CV)	1.2045383
Kurtosis	-0.73312946
Mean	302.81395
Median Absolute Deviation (MAD)	45
Skewness	0.98658575
Sum	13021
Variance	133043.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
44	2	4.7%
71	2	4.7%
11	2	4.7%
79	2	4.7%
68	2	4.7%
56	1	2.3%
57	1	2.3%
82	1	2.3%
65	1	2.3%
61	1	2.3%
Other values (28)	28	65.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9	1	2.3%
11	2	4.7%
15	1	2.3%
23	1	2.3%
29	1	2.3%
40	1	2.3%
44	2	4.7%
46	1	2.3%
50	1	2.3%
54	1	2.3%

Value	Count	Frequency (%)
1045	1	2.3%
1020	1	2.3%
996	1	2.3%
957	1	2.3%
936	1	2.3%
925	1	2.3%
822	1	2.3%
767	1	2.3%
708	1	2.3%
691	1	2.3%

전라남도(천톤)
Real number (ℝ)

HIGH CORRELATION

Distinct	36
Distinct (%)	83.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	301.7907

Minimum	1
Maximum	1485
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	1
5-th percentile	2.2
Q1	15
median	53
Q3	606.5
95-th percentile	1129.5
Maximum	1485
Range	1484
Interquartile range (IQR)	591.5

Descriptive statistics

Standard deviation	425.91429
Coefficient of variation (CV)	1.4112903
Kurtosis	0.58414845
Mean	301.7907
Median Absolute Deviation (MAD)	47
Skewness	1.345937
Sum	12977
Variance	181402.98
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
15	4	9.3%
1	2	4.7%
4	2	4.7%
33	2	4.7%
54	2	4.7%
49	1	2.3%
43	1	2.3%
38	1	2.3%
44	1	2.3%
50	1	2.3%
Other values (26)	26	60.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	4.7%
2	1	2.3%
4	2	4.7%
6	1	2.3%
8	1	2.3%
11	1	2.3%
13	1	2.3%
15	4	9.3%
18	1	2.3%
33	2	4.7%

Value	Count	Frequency (%)
1485	1	2.3%
1312	1	2.3%
1140	1	2.3%
1035	1	2.3%
1002	1	2.3%
993	1	2.3%
759	1	2.3%
746	1	2.3%
718	1	2.3%
706	1	2.3%

경상북도(천톤)
Real number (ℝ)

HIGH CORRELATION

Distinct	42
Distinct (%)	97.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	557.83721

Minimum	135
Maximum	2265
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	135
5-th percentile	142.4
Q1	208
median	392
Q3	939
95-th percentile	1292.8
Maximum	2265
Range	2130
Interquartile range (IQR)	731

Descriptive statistics

Standard deviation	469.99645
Coefficient of variation (CV)	0.84253335
Kurtosis	2.5947079
Mean	557.83721
Median Absolute Deviation (MAD)	201
Skewness	1.5291534
Sum	23987
Variance	220896.66
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
153	2	4.7%
2265	1	2.3%
406	1	2.3%
260	1	2.3%
382	1	2.3%
459	1	2.3%
420	1	2.3%
465	1	2.3%
390	1	2.3%
392	1	2.3%
Other values (32)	32	74.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
135	1	2.3%
141	1	2.3%
142	1	2.3%
146	1	2.3%
153	2	4.7%
156	1	2.3%
164	1	2.3%
191	1	2.3%
194	1	2.3%
204	1	2.3%

Value	Count	Frequency (%)
2265	1	2.3%
1302	1	2.3%
1293	1	2.3%
1291	1	2.3%
1202	1	2.3%
1178	1	2.3%
1132	1	2.3%
1091	1	2.3%
980	1	2.3%
964	1	2.3%

경상남도(천톤)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	37
Distinct (%)	86.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	418.09302

Minimum	0
Maximum	1512
Zeros	1
Zeros (%)	2.3%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	0
5-th percentile	13.8
Q1	35.5
median	57
Q3	1003
95-th percentile	1450.7
Maximum	1512
Range	1512
Interquartile range (IQR)	967.5

Descriptive statistics

Standard deviation	565.27102
Coefficient of variation (CV)	1.3520221
Kurtosis	-0.84042488
Mean	418.09302
Median Absolute Deviation (MAD)	26
Skewness	1.0042418
Sum	17978
Variance	319531.32
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
32	4	9.3%
39	2	4.7%
47	2	4.7%
43	2	4.7%
13	1	2.3%
21	1	2.3%
4	1	2.3%
41	1	2.3%
48	1	2.3%
37	1	2.3%
Other values (27)	27	62.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	2.3%
4	1	2.3%
13	1	2.3%
21	1	2.3%
31	1	2.3%
32	4	9.3%
33	1	2.3%
34	1	2.3%
37	1	2.3%
39	2	4.7%

Value	Count	Frequency (%)
1512	1	2.3%
1478	1	2.3%
1454	1	2.3%
1421	1	2.3%
1348	1	2.3%
1341	1	2.3%
1271	1	2.3%
1245	1	2.3%
1194	1	2.3%
1173	1	2.3%

제주특별자치도(천톤)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	25
Distinct (%)	58.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.860465

Minimum	0
Maximum	128
Zeros	18
Zeros (%)	41.9%
Negative	0
Negative (%)	0.0%
Memory size	519.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	86.5
95-th percentile	121.4
Maximum	128
Range	128
Interquartile range (IQR)	86.5

Descriptive statistics

Standard deviation	46.996748
Coefficient of variation (CV)	1.3879534
Kurtosis	-0.88666758
Mean	33.860465
Median Absolute Deviation (MAD)	3
Skewness	0.94562997
Sum	1456
Variance	2208.6944
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
0	18	41.9%
3	2	4.7%
91	1	2.3%
87	1	2.3%
1	1	2.3%
2	1	2.3%
4	1	2.3%
5	1	2.3%
6	1	2.3%
7	1	2.3%
Other values (15)	15	34.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	18	41.9%
1	1	2.3%
2	1	2.3%
3	2	4.7%
4	1	2.3%
5	1	2.3%
6	1	2.3%
7	1	2.3%
10	1	2.3%
18	1	2.3%

Value	Count	Frequency (%)
128	1	2.3%
125	1	2.3%
122	1	2.3%
116	1	2.3%
108	1	2.3%
106	1	2.3%
103	1	2.3%
94	1	2.3%
92	1	2.3%
91	1	2.3%

세종특별자치시(천톤)
Categorical

IMBALANCE

Distinct	5
Distinct (%)	11.6%
Missing	0
Missing (%)	0.0%
Memory size	476.0 B

0	39
50	1
38	1
32	1
10	1

Length

Max length	2
Median length	1
Mean length	1.0930233
Min length	1

Unique

Unique	4 ?
Unique (%)	9.3%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	39	90.7%
50	1	2.3%
38	1	2.3%
32	1	2.3%
10	1	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	39	90.7%
50	1	2.3%
38	1	2.3%
32	1	2.3%
10	1	2.3%

기타(천톤)
Real number (ℝ)

ZEROS

Distinct	8
Distinct (%)	18.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-4.5348837

Minimum	-486
Maximum	394
Zeros	36
Zeros (%)	83.7%
Negative	2
Negative (%)	4.7%
Memory size	519.0 B

Quantile statistics

Minimum	-486
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	23.9
Maximum	394
Range	880
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	108.84706
Coefficient of variation (CV)	-24.002173
Kurtosis	13.609176
Mean	-4.5348837
Median Absolute Deviation (MAD)	0
Skewness	-1.3001301
Sum	-195
Variance	11847.683
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	36	83.7%
-288	1	2.3%
-486	1	2.3%
153	1	2.3%
394	1	2.3%
26	1	2.3%
5	1	2.3%
1	1	2.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-486	1	2.3%
-288	1	2.3%
0	36	83.7%
1	1	2.3%
5	1	2.3%
26	1	2.3%
153	1	2.3%
394	1	2.3%

Value	Count	Frequency (%)
394	1	2.3%
153	1	2.3%
26	1	2.3%
5	1	2.3%
1	1	2.3%
0	36	83.7%
-288	1	2.3%
-486	1	2.3%

Phik (φk)
Auto

Heatmap
Table

	연도	서울특별시(천톤)	부산광역시(천톤)	대구광역시(천톤)	인천광역시(천톤)	광주광역시(천톤)	대전광역시(천톤)	경기도(천톤)	강원특별자치도(천톤)	충청북도(천톤)	충청남도(천톤)	전라북도(천톤)	전라남도(천톤)	경상북도(천톤)	경상남도(천톤)	제주특별자치도(천톤)	세종특별자치시(천톤)	기타(천톤)
연도	1.000	0.690	0.689	0.731	0.686	0.662	0.704	0.742	0.821	0.798	0.742	0.828	0.802	0.876	0.751	0.759	0.408	0.522
서울특별시(천톤)	0.690	1.000	0.991	0.974	0.980	0.933	0.933	0.975	0.904	0.944	0.963	0.983	0.930	0.874	0.967	0.986	0.000	0.803
부산광역시(천톤)	0.689	0.991	1.000	0.997	0.931	0.936	0.985	0.908	0.967	0.836	0.902	0.929	0.921	0.836	0.995	0.953	0.000	0.602
대구광역시(천톤)	0.731	0.974	0.997	1.000	0.923	0.905	0.971	0.912	0.970	0.849	0.890	0.894	0.867	0.825	0.983	0.917	0.000	0.524
인천광역시(천톤)	0.686	0.980	0.931	0.923	1.000	0.893	0.886	0.977	0.891	0.896	0.960	0.957	0.914	0.816	0.915	0.975	0.000	0.594
광주광역시(천톤)	0.662	0.933	0.936	0.905	0.893	1.000	0.943	0.863	0.862	0.631	0.865	0.915	0.906	0.879	0.937	0.922	0.000	0.000
대전광역시(천톤)	0.704	0.933	0.985	0.971	0.886	0.943	1.000	0.917	0.941	0.749	0.832	0.902	0.889	0.805	0.980	0.912	0.000	0.000
경기도(천톤)	0.742	0.975	0.908	0.912	0.977	0.863	0.917	1.000	0.900	0.929	0.972	0.971	0.890	0.906	0.915	0.993	0.000	0.688
강원특별자치도(천톤)	0.821	0.904	0.967	0.970	0.891	0.862	0.941	0.900	1.000	0.892	0.882	0.880	0.859	0.910	0.966	0.925	0.000	0.602
충청북도(천톤)	0.798	0.944	0.836	0.849	0.896	0.631	0.749	0.929	0.892	1.000	0.896	0.917	0.784	0.912	0.839	0.944	0.000	0.652
충청남도(천톤)	0.742	0.963	0.902	0.890	0.960	0.865	0.832	0.972	0.882	0.896	1.000	0.969	0.943	0.844	0.927	0.974	0.000	0.445
전라북도(천톤)	0.828	0.983	0.929	0.894	0.957	0.915	0.902	0.971	0.880	0.917	0.969	1.000	0.920	0.913	0.937	0.989	0.000	0.765
전라남도(천톤)	0.802	0.930	0.921	0.867	0.914	0.906	0.889	0.890	0.859	0.784	0.943	0.920	1.000	0.848	0.934	0.914	0.000	0.887
경상북도(천톤)	0.876	0.874	0.836	0.825	0.816	0.879	0.805	0.906	0.910	0.912	0.844	0.913	0.848	1.000	0.871	0.916	0.000	0.755
경상남도(천톤)	0.751	0.967	0.995	0.983	0.915	0.937	0.980	0.915	0.966	0.839	0.927	0.937	0.934	0.871	1.000	0.956	0.000	0.763
제주특별자치도(천톤)	0.759	0.986	0.953	0.917	0.975	0.922	0.912	0.993	0.925	0.944	0.974	0.989	0.914	0.916	0.956	1.000	0.000	0.588
세종특별자치시(천톤)	0.408	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000
기타(천톤)	0.522	0.803	0.602	0.524	0.594	0.000	0.000	0.688	0.602	0.652	0.445	0.765	0.887	0.755	0.763	0.588	0.000	1.000

Heatmap
Table

	연도	서울특별시(천톤)	부산광역시(천톤)	대구광역시(천톤)	인천광역시(천톤)	광주광역시(천톤)	대전광역시(천톤)	경기도(천톤)	강원특별자치도(천톤)	충청북도(천톤)	충청남도(천톤)	전라북도(천톤)	전라남도(천톤)	경상북도(천톤)	경상남도(천톤)	제주특별자치도(천톤)	기타(천톤)	세종특별자치시(천톤)
연도	1.000	-0.882	-0.940	-0.676	-0.829	-0.144	0.179	-0.934	-0.762	-0.665	-0.879	-0.902	-0.982	-0.685	-0.863	-0.934	-0.211	0.170
서울특별시(천톤)	-0.882	1.000	0.949	0.863	0.795	0.349	0.015	0.959	0.931	0.854	0.976	0.972	0.926	0.881	0.991	0.806	0.249	0.000
부산광역시(천톤)	-0.940	0.949	1.000	0.819	0.807	0.279	-0.070	0.982	0.884	0.795	0.955	0.955	0.961	0.809	0.940	0.870	0.250	0.000
대구광역시(천톤)	-0.676	0.863	0.819	1.000	0.759	0.435	0.183	0.791	0.916	0.859	0.900	0.861	0.745	0.831	0.873	0.635	0.407	0.000
인천광역시(천톤)	-0.829	0.795	0.807	0.759	1.000	0.303	-0.086	0.795	0.704	0.594	0.802	0.860	0.843	0.587	0.795	0.921	0.380	0.000
광주광역시(천톤)	-0.144	0.349	0.279	0.435	0.303	1.000	0.708	0.323	0.409	0.300	0.350	0.420	0.176	0.324	0.370	0.194	0.055	0.000
대전광역시(천톤)	0.179	0.015	-0.070	0.183	-0.086	0.708	1.000	-0.027	0.174	0.138	0.012	0.055	-0.146	0.142	0.044	-0.201	-0.098	0.000
경기도(천톤)	-0.934	0.959	0.982	0.791	0.795	0.323	-0.027	1.000	0.885	0.800	0.951	0.964	0.958	0.818	0.947	0.866	0.230	0.000
강원특별자치도(천톤)	-0.762	0.931	0.884	0.916	0.704	0.409	0.174	0.885	1.000	0.949	0.938	0.902	0.804	0.963	0.939	0.703	0.273	0.000
충청북도(천톤)	-0.665	0.854	0.795	0.859	0.594	0.300	0.138	0.800	0.949	1.000	0.865	0.810	0.713	0.974	0.860	0.596	0.254	0.000
충청남도(천톤)	-0.879	0.976	0.955	0.900	0.802	0.350	0.012	0.951	0.938	0.865	1.000	0.975	0.925	0.879	0.978	0.797	0.288	0.000
전라북도(천톤)	-0.902	0.972	0.955	0.861	0.860	0.420	0.055	0.964	0.902	0.810	0.975	1.000	0.943	0.828	0.975	0.855	0.277	0.000
전라남도(천톤)	-0.982	0.926	0.961	0.745	0.843	0.176	-0.146	0.958	0.804	0.713	0.925	0.943	1.000	0.729	0.910	0.909	0.238	0.000
경상북도(천톤)	-0.685	0.881	0.809	0.831	0.587	0.324	0.142	0.818	0.963	0.974	0.879	0.828	0.729	1.000	0.889	0.614	0.210	0.000
경상남도(천톤)	-0.863	0.991	0.940	0.873	0.795	0.370	0.044	0.947	0.939	0.860	0.978	0.975	0.910	0.889	1.000	0.795	0.253	0.000
제주특별자치도(천톤)	-0.934	0.806	0.870	0.635	0.921	0.194	-0.201	0.866	0.703	0.596	0.797	0.855	0.909	0.614	0.795	1.000	0.304	0.000
기타(천톤)	-0.211	0.249	0.250	0.407	0.380	0.055	-0.098	0.230	0.273	0.254	0.288	0.277	0.238	0.210	0.253	0.304	1.000	0.000
세종특별자치시(천톤)	0.170	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	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

	연도	서울특별시(천톤)	부산광역시(천톤)	대구광역시(천톤)	인천광역시(천톤)	광주광역시(천톤)	대전광역시(천톤)	경기도(천톤)	강원특별자치도(천톤)	충청북도(천톤)	충청남도(천톤)	전라북도(천톤)	전라남도(천톤)	경상북도(천톤)	경상남도(천톤)	제주특별자치도(천톤)	기타(천톤)
0	1980	7460	1834	0	0	0	0	1599	744	602	760	627	1002	2265	1341	91	-288
1	1981	7429	1968	1410	844	0	0	1033	797	619	958	691	1035	964	1194	87	-486
2	1982	6808	1801	1273	699	0	0	1068	762	552	915	681	993	915	1173	94	153
3	1983	7051	1869	1329	664	0	0	1133	799	610	966	708	1140	980	1245	92	394
4	1984	8212	2007	1427	781	0	0	1356	903	753	1172	822	1312	1091	1348	106	26
5	1985	8766	2077	1459	855	0	0	1604	961	832	1307	957	1485	1202	1478	116	0
6	1986	9108	2081	1496	970	813	0	1705	1013	902	1453	1020	759	1293	1512	125	0
7	1987	8728	1981	1449	1080	818	0	1574	980	826	1471	1045	746	1302	1454	128	5
8	1988	8232	1915	1425	1177	776	631	1485	1000	833	915	996	706	1291	1421	122	1
9	1989	6791	1693	1261	960	781	553	1323	959	740	864	936	636	1178	1271	108	0

	연도	서울특별시(천톤)	부산광역시(천톤)	대구광역시(천톤)	광주광역시(천톤)	대전광역시(천톤)	경기도(천톤)	강원특별자치도(천톤)	충청북도(천톤)	충청남도(천톤)	전라북도(천톤)	전라남도(천톤)	경상북도(천톤)	경상남도(천톤)	세종특별자치시(천톤)
33	2013	290	30	121	75	108	121	255	278	57	59	15	411	47	50
34	2014	240	25	100	64	95	99	224	240	52	50	13	346	43	38
35	2015	222	21	86	53	91	89	210	210	47	46	11	316	39	32
36	2016	192	17	72	41	83	79	185	192	36	40	8	268	32	10
37	2017	177	7	55	38	67	57	167	191	33	29	6	221	32	0
38	2018	143	0	14	33	53	47	150	179	30	23	4	204	32	0
39	2019	105	0	0	25	29	42	101	133	23	15	4	146	21	0
40	2020	87	0	0	19	17	41	77	71	17	11	2	153	13	0
41	2021	71	0	0	16	16	42	79	40	16	11	1	153	4	0
42	2022	60	0	0	14	23	39	78	47	13	9	1	141	0	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample