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FiyinfoluwaO/Stage-D-Data-Storytelling-in-Pattern-Recognition

Domain:

agriculture

Record type:

project
Creator:
Fiy
Host:
Data Exploration on Africa's food production and consumption (supply), formulating and testing a hypothesis, and visualisation of results. # Stage-D-Data-Storytelling-in-Pattern-Recognition on FOOD SHORTAGE SOLUTION Data Exploration on Africa's food production and consumption (supply), formulating and testing a hypothesis, and visualisation of results. # DESCRIPTION OF THE FILES IN THE REPOSITORY **"African Countries Map.pbix"** This is the Map visualization of the Remaining 38 African Countries. **"README.md"** This gives the full description of what the project and codes entails for ease of navigating through the files and to fully understand what each file contains. **"STAGE D DATA EXPLORATION[1].ipynb"** This is the MAIN PYTHON FILE of the project, showing all codes as illustrated in the Course Outline. This codes are replicates of the Wolfram Programming Language Codes in the Stage D: Pattern Recognition. **"afr lat long.csv"** This is a CSV file containing the latitude and longitude of all african countries to help plot on the Map using PowerBI platform **"fdd.csv"** This is a dataset of the grouped food production and containing the value of Rice Items produced in the different african countries. **"fddr.csv"** This is the dataset of the cleaned food production (i.e. grouped and refined) with additional column (POPULATION) for ease of analysis **"food consumption.csv"** This is the Main food consumption dataset given in the course outline. The PDF version of this dataset was converter to CSV file using a PDF to CSV online converter tool. **"food production.csv"** This is the Main food production dataset given in the course outline. The PDF version of this dataset was converter to CSV file using a PDF to CSV online converter tool. **"food_ConsYear.csv"** This is the food consumption dataset with the addition of kcal/person/day unit to the value of the Items consumed. **"food_ConsYear2.csv"** This is the Refined food consumption dataset. **"food_data stageD.csv"** This is the food production dataset with the addition of kt "kilotons" unit to the Item Value. **"food_dataGitems.csv"** Thi …

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