The company chosen was Lowesplease complete attached word docUnder each area include 3-6 elements:Internal DataSecondary DataPrimary DataCustomer Relationship Management

Organizations are increasingly concerned with sustainability and corporate social responsibility - whether for business, legal, or values-based reasons. The HR function is uniquely positioned to assist in both developing and implementing a sustainability strategy.Go to The Guardian's Corporate Social Responsibility (Links to an external site.) page and select a video or article from the list provided. If possible, avoid selecting videos or articles already chosen and discussed by classmates. After viewing the video or reading the article you have selected, provide a summary of it and a response to the following discussion prompts:Explain how the organization in the video or article demonstrates corporate social responsibility.Explain HR's role in formulating corporate values and developing an overall business sustainability strategy.Identify examples of sustainable HR practices that support a culture of corporate social responsibility.

Learning Goal: I'm working on a data analytics multi-part question and need an explanation and answer to help me learn. A city’s administration isn’t driven by the goal of maximizing revenues or profits but instead looks at improving the quality of life of its residents. Many American cities are confronted with high traffic and congestion. Finding parking spaces, whether in the street or a parking lot, can be time consuming and contribute to congestion. Some cities have rolled out data-driven parking space management to reduce congestion and make traffic more fluid. You’re a data analyst working for a mid-size city that has anticipated significant increments in population and car traffic. The city is evaluating whether it makes sense to invest in infrastructure to count and report the number of parking spaces available at the different parking lots downtown. This data would be collected and processed in real-time, feeding an app that motorists can access to find parking space availability in different parking lots throughout the city. Download the Parking Lot Use data set. The data set has the following columns: LotCode: a unique code that identifies the parking lot LotCapacity: a number with the respective parking lot capacity LotOccupancy: a number with the current number of cars in the parking lot TimeStamp: a day/time combination indicating the moment when occupancy was measured Day: the day of the week corresponding to the TimeStamp Insert a new column, OccupancyRate, recording occupancy rate as a percentage with 1 decimal. For instance, if the current LotOccupancy is 61 and LotCapacity is 577, then the OccupancyRate would be reported as 10.6 (or 10.6%). Using the OccupancyRate and Day columns, construct box plots for each day of the week. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Is the median occupancy rate approximately the same throughout the week? If not, which days have lower median occupancy rates? Which days have higher median occupancy rates? Is this what you expected? Using the OccupancyRate and LotCode columns, construct box plots for each parking lot. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Do all parking lots experience approximately equal occupancy rates? Are some parking lots more frequented than others? Is this what you expected? Select any 2 parking lots. For each of them, prepare a scatter plot showing occupancy rate against TimeStamp for the week 11/20/2016 – 11/26/2016. Are occupancy rates time dependent? If so, which times seem to experience the highest occupancy rates? Is this what you expected?