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JKISeason2-15

Description: You are a freelance data scientist and are asked to help an actuarial agency. To compute premiums for life insurances, actuaries need to find the age-dependent information about customers from an Actuarial Life table containing the probability of dying within 1 year and life expectancy. Your task is to make this process faster: create a dashboard in which an actuary specifies the age of the customer and this action updates probabilities and life expectancy for both genders. Feel free to use either tables or graphical representations of data. Hint: To combine values of the first 3 rows to use as column headers, refer to this workflow from the Community Hub. Hint 2: The Integer Widget does not refresh the interactive view of the component. Consider adding the Refresh Button Widget.

Challenge 15 - Create a dashbord to update actuarial informationLevel: MediumDescription: You are a freelance data scientist and are asked to help an actuarial agency. Tocompute premiums for life insurances, actuaries need to find the age-dependent information aboutcustomers from an Actuarial Life table containing the probability of dying within 1 year and lifeexpectancy. Your task is to make this process faster: create a dashboard in which an actuaryspecifies the age of the customer and this action updates probabilities and life expectancy for bothgenders. Feel free to use either tables or graphical representations of data. Hint: To combine valuesof first 3 rows to use as column headers, refer to the WF from the Community Hub - https:// Node 1Extract the first3 rows with the column headervaluesCombine the 3 parts of the column headersApply the new column headersConvertStrings toNumbers Excel Reader Row Splitter Python Script Insert ColumnHeader Column AutoType Cast Actuarial Dashboard Challenge 15 - Create a dashbord to update actuarial informationLevel: MediumDescription: You are a freelance data scientist and are asked to help an actuarial agency. Tocompute premiums for life insurances, actuaries need to find the age-dependent information aboutcustomers from an Actuarial Life table containing the probability of dying within 1 year and lifeexpectancy. Your task is to make this process faster: create a dashboard in which an actuaryspecifies the age of the customer and this action updates probabilities and life expectancy for bothgenders. Feel free to use either tables or graphical representations of data. Hint: To combine valuesof first 3 rows to use as column headers, refer to the WF from the Community Hub - https:// Node 1Extract the first3 rows with the column headervaluesCombine the 3 parts of the column headersApply the new column headersConvertStrings toNumbers Excel Reader Row Splitter Python Script Insert ColumnHeader Column AutoType Cast Actuarial Dashboard

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Created by: elimi
Created at: 2023-09-07
On NodePit since: 2023-09-08
Last update: 2024-04-27
Created with KNIME version: v4.7.7
Tags: JKISeason2-15

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