The Dataset for task 4: Mobile Price Classification (Please look up the assigned dataset for your group ) Your organization has entered the mobile space and is launching a portfolio of mobile phones to compete with the current established market players. At present, the organization does not know how to estimate price of mobiles, which are in the pipeline. In this competitive mobile phone market prices cannot simply be assumed. To resolve this issue, the organization aims to collect sales data of mobile phones from various companies and determine pricing tiers based on the result of exploratory analysis. Dataset Description: id ID battery_power Total energy a battery can store in one time measured in mAh blue Has bluetooth or not clock_speed speed at which microprocessor executes instructions dual_sim Has dual sim support or not fc Front Camera mega pixels four_g Has 4G or not int_memory Internal Memory in Gigabytes m_dep Mobile Depth in cm mobile_wt Weight of mobile phone n_cores Number of cores of processor pc Primary Camera mega pixels px_height Pixel Resolution Height px_width Pixel Resolution Width ram Random Access Memory in Megabytes sc_h Screen Height of mobile in cm sc_w Screen Width of mobile in cm talk_time longest time that a single battery charge will last when you are three_g Has 3G or not touch_screen Has touch screen or not wifi Has wifi or not For the dataset, complete the following tasks: Data cleaning: o Clean the data in excel, if required o Import data in R Visualizing data: o Discuss how we can visualize in R (200 words). o Show a bar chart with four attributes and explain o Show a Scatter Plot with two attributes and explain o Show a Boxr Plot with two attributes and explain