Forest Fires

Use this datasets , then :

1. Perform appropriate these data science project flow:

a. data preprocessing: Clean and filter the data, convert the data from one format to another, extract and replace values, and split, merge,

and extract columns.

b. data exploration: inspect the data and its properties, compute descriptive statistics and test significant variables(correlation), gain some data

visualization through simple formatting of charts such as scatterplot, line charts or bar charts, etc.

2. The given solution is conducted using Python code (libraries such as Pandas, Numpy, Matplotlib and/or user-define function, etc.)

Use pyhton language

X	Y	month	day	FFMC	DMC	DC	ISI	temp	RH	wind	rain	area
7	5	mar	fri	86.2	26.2	94.3	5.1	8.2	51	6.7	0	0
7	4	oct	tue	90.6	35.4	669.1	6.7	18	33	0.9	0	0
7	4	oct	sat	90.6	43.7	686.9	6.7	14.6	33	1.3	0	0
8	6	mar	fri	91.7	33.3	77.5	9	8.3	97	4	0.2	0
8	6	mar	sun	89.3	51.3	102.2	9.6	11.4	99	1.8	0	0
8	6	aug	sun	92.3	85.3	488	14.7	22.2	29	5.4	0	0
8	6	aug	mon	92.3	88.9	495.6	8.5	24.1	27	3.1	0	0
8	6	aug	mon	91.5	145.4	608.2	10.7	8	86	2.2	0	0
8	6	sep	tue	91	129.5	692.6	7	13.1	63	5.4	0	0
7	5	sep	sat	92.5	88	698.6	7.1	22.8	40	4	0	0