Projects / Local Chapter Project

Building an Interactive Dashboard to Report and Analyse the Relationship Between Recent Inflation in Food Prices and the Increased Crime Rate Within Pakistan

Start Date: September 14, 2022 | 4 years ago


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Recently, there has been a surge of inflation in Pakistan. This has had a series of adverse effects on the livelihood and economy of the people. The purpose of this project is to gather and search for data from various sources and perform an Exploratory Data Analysis and understand the trend in the rising prices over the years. We will also build a potential web scraper to extract this information if it is needed. We will further explore the process of building effective and interactive data visualisations to display the data. We will build and deploy an interactive dashboard to display the results.

The Problem

Recently, there has been a surge of inflation in Pakistan. This has had a series of adverse effects on the livelihood and economy of the people. The purpose of this project is to gather and search for data from various sources and perform an Exploratory Data Analysis and understand the trend in the rising prices over the years.

We will also build a potential web scraper to extract this information if it is needed. We will further explore the process of building effective and interactive data visualizations to display the data. We will build and deploy an interactive dashboard to display the results.

We need to gather relevant data related to the project. We will analyze the trends in the data. This project aims to tackle the issue of scarcity of relevant data related to this issue and aims to research and build interactive visualizations.

Goal of the Project

1. Using various visuals, analyze the trends in food prices and crime rate. 2. Work with databases and build a web scraper if needed to extract relevant data. 3. Build and deploy an interactive dashboard. 4. Building rest APIs and an interactive web app to display the results.

Project Timeline

1

– Understanding of Problem Statement.

– Data gathering.

– Building web scraping scripts

2

– Exploratory Data Analysis(EDA).

– Building Dashboard & Visualisations.

– Introduction to REST APIs & Web Applications.

3

– Building Backend API.

– Building Front-end.

– Workshop on Docker And Docker Compose.

4

- Finish Integrating Web App.

– Deploy the App in Cloud Application Platforms.

What you'll learn

1. Collection of Data.

2. Exploratory Data Analysis.

3. Building insightful Data Visualisations.

4. Build REST API with Flask.

5. Dockerizing and deploying a Web Application.

First Omdena Local Chapter Project?

Beginner-friendly, but also welcomes experts

Education-focused

Duration: 4 to 8 weeks

Open-source



Your Benefits

Address a significant real-world problem with your skills

Build your project portfolio

Access paid projects (as an Omdena Top Talent)

Get hired at top organizations



Requirements

Good English

Suitable for AI/ Data Science beginners but also more senior collaborators

Learning mindset



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