📅 2024-08-30 — Session: Comprehensive Mobile Market and Data Analysis
🕒 03:30–04:30
🏷️ Labels: Data Manipulation, Market Analysis, Mobile Phones, Pricing, Financing
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The session aimed to perform a comprehensive analysis of the mobile phone market and related data manipulation tasks.
Key Activities
- Data Manipulation: Merged two DataFrames,
phone_attributesandphones_df, by removing a multi-index level, resetting the index, and performing a left merge. - Market Study Framework: Developed a framework for analyzing the cell phone market, focusing on pricing, brand evaluation, consumer preferences, and promotional impacts.
- Market Analysis: Conducted a detailed analysis of mobile brands by price segment, providing strategic recommendations.
- Quality Analysis: Planned and executed an analysis of key hardware and software features affecting mobile phone quality, using statistical measures like count and average price.
- Price Analysis: Identified key columns for analyzing mobile phone prices and quality, and provided code examples for grouped analysis using pandas.
- Market Analysis in Argentina: Reflected on the phone market in Argentina, analyzing price distributions and identifying potential consumer bargains.
- Financing Evaluation: Evaluated financing options for installment plans, calculating present value to compare total discounted prices against nominal prices.
Achievements
- Successfully merged and manipulated data for further analysis.
- Developed a comprehensive market study framework.
- Gained insights into mobile brand competitiveness and strategic positioning.
- Identified key quality features and pricing strategies for mobile phones.
- Provided actionable insights for the Argentine phone market.
- Assessed financing options for better consumer decision-making.
Pending Tasks
- Further analysis on consumer behavior trends in different regions.
- Implementation of strategic recommendations for market positioning.