saru254/Kenya-Food-Prices

The "Kenya Food Prices Dataset" report in Power BI offers an insightful analysis of food prices in Kenya, providing stakeholders with valuable information to make data-driven decisions. This dataset, collected over several years, encompasses a wide range of food items, regions, and marketplaces across Kenya. # Kenya Food Prices Dataset - Power BI This README document provides an overview of the Kenya Food Prices dataset and how to use it in Power BI for data analysis and visualization. The dataset contains information about food prices in Kenya, which can be valuable for analyzing trends, making informed decisions, and understanding the food market in Kenya. # DATASET OVERVIEW * Dataset Name: Kenya-Food Prices Dataset * Data Source: WFP Food Prices for Kenya)WFP Food Prices for Kenya # count of category by commodity # Description: This pie chart visually represents the distribution of categories within different commodities using the dataset provided. Each slice of the pie corresponds to a specific commodity, and its size reflects the count of categories associated with that commodity. The legend displays the names of the commodities, while the values within the chart represent the number of categories within each commodity. This visualization allows for a quick and intuitive understanding of how categories are distributed across various commodities in the dataset. # count of price and pricetype and unit # Description: This clustered bar chart illustrates the distribution of prices by their respective price types and units, utilizing the dataset provided. The y-axis represents different price types, while the x-axis displays the count of prices. Each cluster of bars corresponds to a specific unit, visually demonstrating how prices are distributed across different price types and units in the dataset. This visualization allows for a clear comparison of price counts, helping to identify patterns and trends in the data related to price types and units # Count of price and first commodity by category. latitude and longitude # Description: This map visualization illustrates the geographical distribution of prices and their relationship with the first commodity within each category using the provided …