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This repository presents a comprehensive analysis of sales representative profiles within a software product group. The analysis explores various factors at play such as age, gender, experience, personality type, certifications, feedback scores, salary, and Net Promoter Scores (NPS) to derive actionable insights and support decision-making process.

Python 100.00%
data-storytelling data-visualization descriptive-statistics multivariate-analysis univariate-analysis

analysis-of-sales-representative-salaries-in-software-industry-by-personality-types's Introduction

A Comprehensive Analysis of Sales Representative Salaries

Description:

This repository contains a comprehensive analysis of sales representatives' profiles in the software product group. The analysis explores various factors at play such as personality traits, gender, experience, certifications, feedback scores, salary, and Net Promoter Scores (NPS).

Key Steps involved:

  1. Exploratory Data Analysis (EDA) providing descriptive statistics, correlation analysis, and univariate/multivariate analysis.
  2. Insights into the distribution and trends of quantitative and categorical variables among sales representatives.
  3. Identification of any potential gender-based salary disparities and recommendations for fostering an inclusive workplace.
  4. Analysis of the relationship between personality traits, feedback scores, certifications, and salary.
  5. Recommendations for tailoring customer engagement strategies based on personality types and enhancing satisfaction levels.

Report

Sales Representatives Salaries EDA .pdf

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