Coursera Reproducible Pitch

• URL: https://github.com/manastiwari/Developing-Data-Products-Week-4-Course-Project
• Find here all the data that have been use for this presentation and also for the first part of the data Science Project: “First, you will create a Shiny application and deploy it on Rstudio’s servers.Second, you will use Slidify or Rstudio Presenter to prepare a reproducible pitch presentation about your application.”

Find all details here

URL: https://www.coursera.org/learn/data-products/peer/tMYrn/course-project-shiny-application-and-reproducible-pitch

mtcars Dataset

Motor Trend Car Road Tests

Income Module Overview The Income Module showcases the financial performance across various periods from 2011 to 2020. It captures different components of income, including contributions from affiliates, employer contributions, and returns on investments.

Period-wise Income Details: Period: Sequential numbering for each year from 2011 to 2020. Year: Specific years corresponding to each period. Income: Total income earned during each year. Affiliates’ Contributions: Amount contributed by affiliates during the respective year. Employer Contributions: Funds contributed by employers in alignment with affiliates’ contributions. Investment Returns: The returns or profits obtained from investments made during the period. This module offers an insightful perspective into the evolving financial performance over the years, providing a comprehensive view of income sources and their contributions.

# Creating the dataset
data <- data.frame(
  Periodo = 2011:2020,
  Ingresos = c(1021, 1042, 1063, 1085, 1107, 1129, 1152, 1176, 1200, 1400))

  head(data)

##   Periodo Ingresos
## 1    2011     1021
## 2    2012     1042
## 3    2013     1063
## 4    2014     1085
## 5    2015     1107
## 6    2016     1129

# Reshape the data to long format for plotting
library(reshape2)

## Warning: package 'reshape2' was built under R version 4.1.3

library(ggplot2)
data_long <- melt(data, id.vars = "Periodo")

# Plotting a bar graph
ggplot(data_long, aes(x = Periodo, y = value, fill = variable)) +
  geom_bar(stat = "identity", position = "dodge") +
  labs(title = "Dataset Summary",
       x = "Period",
       y = "Values") +
  theme_minimal() +
  scale_fill_manual(values = c("#F8766D", "#00BFC4", "#FFA500", "#E76BF3"))  # Customizing colors

Expenses Module The Expenses Module typically includes detailed records of various expenses incurred by an organization within a specific period. It encompasses costs related to different aspects of the business operations.

For example:

Cost of Goods Sold (COGS): The direct costs incurred in producing goods or services sold by a company. Marketing Expenses: Costs related to marketing and advertising efforts, including promotional campaigns, advertising, and marketing research. Operating Expenses: General costs associated with running the business, such as rent, utilities, salaries, and administrative expenses.

Balance Sheet Module The Balance Sheet Module represents the financial position of a company at a specific point in time. It shows a snapshot of the company’s assets, liabilities, and shareholders’ equity.

For example:

Assets: Resources owned by the company, including cash, property, inventory, and investments. Liabilities: Debts and obligations owed by the company to external parties, such as loans, accounts payable, and accrued expenses. Equity: Represents the company’s net worth, calculated as assets minus liabilities, often reflecting shareholder’s equity or retained earnings.

Income and Loss Module The Income and Loss Module, also known as the Income Statement or Profit and Loss Statement, displays an organization’s financial performance over a specific period. It showcases revenues, expenses, and resulting profits or losses.

For example:

Revenue: Income generated from sales of goods or services. Expenses: Costs incurred to generate revenue, including COGS, operating expenses, and taxes. Net Income (Profit or Loss): The resulting figure after deducting expenses from revenue, indicating the company’s profitability for the period. Positive net income represents profits, while negative indicates losses.