I need a R coder

Write an R file which does the following, summarising your findings in a
research report:
1. Go to kaggle.com or similar and find a dataset of interest to you.
(a) Some of the examples we have seen already in the labs such as the
housing dataset were obtained from kaggle.
(b) Here’s a clickable link: kaggle datasets
(c) Note the dataset you choose is one that should have the possibility
of being modelled using multiple linear regression, with data manipulations via transformations etc as required.
(d) Within the submitted report you should provide a short introduction
to the dataset and outline the motivation for your interest in this
project.
2. For your chosen dataset first carry out descriptive analytics - summarise
and explore each variable in the dataset, providing the appropriate summary statistics, visualisations and confidence intervals.
3. Now engage in diagnostic analytics - explore for statistically significant
relationships between variables of interest using hypothesis tests as appropriate
4. Explore the data from a model fitting perspective using scatter plots and
correlation. Note some of the predictor variables may have a non-linear
relationship with the variable you wish to predict so evaluation of model
residuals is key. Explore model fit and summarise the interpretation of
each variable in the fitted model. Interpret the parameters of the fitted
model for your best fitting model and present conclusions from it.