Python & Data

Travel Aggregator Analysis

Data analysis project exploring travel-related data to identify useful patterns, comparisons and insights.

Python
Pandas
Data Analysis
Visualization
SQL

Overview

A data analysis project over travel search and booking data. Definitions and aggregations are kept consistent so comparisons hold up between periods and the analysis can be re-run as data grows.

Problem / Objective

Objective: explore travel-related data and produce consistent, repeatable comparisons and visual summaries.

Travel data arrives in several shapes, and ad-hoc queries make period-to-period comparison unreliable.

Solution

A repeatable analysis pipeline with fixed definitions, shared aggregations and visual summaries.

Key capabilities

Data cleaning
Exploratory analysis
Comparative insights
Visualization

Technology

Development
- Python
Data
- Pandas
- SQL
- Data Analysis
- Visualization

Implementation

Data is extracted with SQL, transformed with Pandas, and summarised through a fixed set of charts so the same analysis can be re-run against updated data.

How it flows

Raw data
Cleaning
Aggregation
Analysis
Visualization

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