ChisomNwankwo/Building-a-South-African-DALRRD-Commodity-Price-Dashboard
Domain:
agricultureRecord type:
project
Creator:
Chi
Host:
This is a group project that involves the automation of the process of collecting, processing and getting insights on South Africa Farm Produce
# {{Making sense of the DALRRD Daily Commodity Prices}}
## Project description
The South African Department of Agriculture, Land Reform & Rural Development (DALRRD) aims to achieve equitable access to land,
integrated rural development, sustainable agriculture, and food security for all.
One of the crucial components for realizing this vision is the implementation of an effective agricultural marketing information
system(AMIS). AMIS plays a vital role in providing valuable data and insights,particularly through its collection of daily
commodity prices in thehorticulture, grain, and livestock sectors.
Currently, this information is scattered across various websites andpresented in different formats,
making it difficult for buyers and sellers toaccess and analyze the data effectively
Our project aims to automate the collection, scraping, and transformation of this data into a single dashboard
that presents relevant statistics and figures in an accessible and user-friendly way.
Notion link: notion.so
## Team Members
- Chisom Nwankwo
- Praise Taiwo
- Mbuyiselo Mkwanazi
- Sello Simon
- Bukola Badeji
- Benjamin Michael
## Environment
It's highly recommended to use a virtual environment for your project, there are many ways to do this,
below we have provided one example of how this can be achieved. Ensure when working on your project
to keep this section up-to-date so if anyone needs to run your code they know the exact steps needed
to get the appropriate environment ready. A person should be able to clone your repo and get up and
running with the instructions provided here.
### Setup - you only need to do this once
```bash
# make sure your pip in your base Python installation is up-to-date
python3 -m pip install -U pip
# install the virtualenv package
python3 -m pip install virtualenv
```
### Create the virt …
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