You are given SmallSample.csv data. Please complete the following using this data and write a rscript.

1. Please read SmallSample.csv data and create a data frame variable call smallsample.
2. Please show the first six records to check data frame format
3. Please show the structure of the data.
4. Please check every columns class: age& income should be numeric; gender, marital, and risk should be factor. numkids (number of kids) should be integer. If they are not the correct type, please change them (hint: as.numeric() &factor())
5. For the factor column, please display and check their levels and frequency for each level.
6. Please calculate and display the mean of age and income for all the records
7. Please calculate and display the mean of income for each category of risk
8. Please create 3 bins for income, and label them low, medium, and high using equal width strategy. And please add a new column to the data frame of samll sample and call it INCOME LEVEL. Please assign the binning results to the new column.
9. Please display how many records fall into low income level category.
10. The CSV file looks like following which consists of more than 300 datas

11. AGE	INCOME	GENDER	MARITAL	NUMKIDS	RISK
    31	59193	Female	married	1	good risk
    45	58381	Male	married	1	good risk
    43	57388	Female	married	0	bad loss
    41	56470	Male	married	0	bad loss
    46	55554	Female	married	0	good risk
    32	54792	Male	married	1	good risk
    44	53983	Female	married	1	bad profit
    44	53550	Male	married	1	bad loss
    32	52973	Male	married	1	bad profit
    39	52495	Female	married	1	good risk
    44	51498	Male	married	0	bad loss
    33	50631	Female	married	0	good risk
    38	50076	Male	married	1	bad profit
    35	49600	Male	married	1	good risk
    34	49007	Male	married	1	bad profit
    37	48061	Female	married	1	good risk
    39	47161	Male	married	1	good risk
    38	46823	Male	married	0	good risk
    36	45949	Female	married	1	bad profit
    30	45715	Male	married	0	good risk
    42	45584	Female	married	1	good risk
    43	45390	Female	married	0	good risk
    35	45238	Female	married	0	good risk
    38	45103	Female	married	0	good risk
    37	44936	Female	married	1	bad profit
    30	44756	Female	married	1	good risk
    42	44597	Female	married	1	bad loss