104624234_Mendonca_ws5

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Algoma University *

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Apr 3, 2024

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BAN140 Introduction to Data Visualization WorkShop5 Page 1 of 4 Part One: Horizontal Bar Chart: Apply Pre-Attentive Attributes to your Bar Chart Question 1. From the dataset provided, the above graph visualizes the order shipment in Walmart considering the average order-to-ship time for various U.S. states . In the x-axis, we are representing the average order-to-ship time in days, and y-axis we have taken a list of different states in the US. Out of the 48 states in the US, in the above solicitation, only 14 states are taken into consideration for the analysis. New York and Pennsylvania are highlighted green so that we can compare average shipping days with other states Each of the states in blue and green demonstrates the average time it takes the orders to be shipped from the particular state. Certain key observations from the above visualization are as follows: • The highest average time taken to ship in the state of Louisiana is 359.5 days whereas the lowest is in the state of Connecticut which is 63.9 days • While comparing with the state of New York , the states of Ohio, California, and Texas have similar shipping times between 233 to 241 days . • In comparison with the state of Pennsylvania , the shipping days with the state of Colorado has a difference of approximately 20 days (275.6 days – 255.1 days)

BAN140 Introduction to Data Visualization WorkShop5 Page 2 of 4 Part Two: Creating a Pie Chart Map (with Dual Axis Map): Apply Pre- Attentive Attributes to your Map Question 2. The above graphical representation is in geographical data in the form of a US map. It shows how sales and profits are distributed across different states, organized by different product categories. You can interact with the map, as it has color-coded elements and pie charts on each state to indicate the data. The map classifies sales and profit information into three categories: Furniture, Office Supplies, and Technology. Each category is represented by a specific color in the pie charts (orange for Furniture, red for Office Supplies, and green for Technology). The size of the pie charts seems to represent the sales volume, as larger circles suggest higher sales numbers. Key insights from the above representation that can be drawn from the map include: • States with large pie charts, such as California, Ohio, Illinois, New York, and Texas , have greater sales volume than states with smaller pie charts, such as Nevada and New Hampshire . This may indicate a higher demand for products or a larger number of customers in the former states. • Sales and profits are particularly strong in the Eastern United States, especially in states like New

BAN140 Introduction to Data Visualization WorkShop5 Page 3 of 4 York and Pennsylvania . This may be because these regions have more people or businesses are better at reaching their customers there. • Market Dynamics: The pie charts show differences in the market across different states based on the size and colors used. For instance, a state with a bigger green section may have a thriving market for office supplies. This could be because there are a lot of businesses and offices in that state. • Profit Distribution: The color shading within each pie chart indicates the profit distribution across the three product categories. For instance, in Illinois , the orange segment (Furniture) seems to dominate, suggesting that this category may be more profitable or have higher sales compared to Technology and Office Supplies. The map also includes a legend that explains the data representation, with sales figures ranging from 10,926 to 1,372,210 and profit figures from 585 to 108,532. These figures likely represent aggregated totals for the respective categories. Overall, the map provides a visual summary of sales and profit across the states and product categories. It also highlights the disparities in business performance which can be essential for strategic planning, resource allocation etc. The data also suggests certain states are key drivers of sales and profit in particular to specific product categories and could be critical for expansion and growth strategies.

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BAN140 Introduction to Data Visualization WorkShop5 Page 4 of 4 Deliverables: Add this declaration to your submission file: I, Gelasia Mendonca declare that the attached assignment is my own work in accordance with the Seneca Academic Honesty Policy . I did not copy any part of this assignment, manually or electronically, from any other source including websites, unless specified as references. I do not distribute my work to other students. Name Task(s) 1 Gelasia Mendonca Workshop 5 1. Using Blackboard, I have submitted a PDF file < 104624234 >_< Mendonca >_ws5.pdf < 104624234 >_< Mendonca >_ws5.twbx SENECA’S ACADEMIC HONESTY POLICY As a Seneca student, you must conduct yourself in an honest and trustworthy manner in all aspects of your academic career. A dishonest attempt to obtain an academic advantage is considered an offense and will not be tolerated by the College.

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