Data experiments

Collection of applications for different platforms

Data

deliveryData_2.csv

Package delivery data. Use for Linear regression, to forecast delivery days based on weight of a package Columns

• date - dd/mm/yyyy - Order date
• weight - Integer - package's weight (kg)
• distance - Integer - delivery distance (km)
• days - Integer - amount of days the package was under delivery

personalBudget.csv

Personal budgeting history. Sample use is to forecast coinfidence (binary classification), of whether budgeting targets will be met in the given month Columns

• period - mm/yyyy - Budgeting period
• month_num - Integer - Numeric representation of the month
• take_home_pay - Float - After-tax pay
• necessities - Float - percentage of the income spent on rent & bills
• flexible - Float - percentage of the income spent on discretionary (e.g ice cream)
• savings - Float - percentage of the income spent on saving goals (loan-extra-payment, investements)
• debt_load - Float - coeficient describing total relative (to annual income) debt-amount
• extra_flex - Boolean - Extra flexible spendings (e.g. travel)

Apps