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Wheat Production Analysis


Background

This project stems from my recent firsthand experience in mills where wheat is transformed into flour and various other products. This fueled my curiosity, prompting me to embark on a journey to delve into the global scale of wheat cultivation and production. Through this exploration, I aim to uncover insightful, data-driven revelations about wheat kernel.

About dataset

The quantities of wheat in the following table are in million metric tonnes. All countries with a typical production quantity of at least 2 million metric tonnes are listed below. It contains 42 rows and 27 columns. click here to read more about the data.

Inquiries for Analysis

  1. Identifying the Top Wheat Producers by Country
  2. Determining Leading Wheat Producers by Continent
  3. Analyzing Time-Series Data for Different Countries
  4. Total Wheat Produced per Year
  5. Year-over-year Production Analysis

Skills demonstrated

  • Data Wrangling with Excel
  • Lookup functions
  • Filters
  • Data visualization with Power BI
  • Data Modelling
  • DAX

Data Cleaning

After checking for duplicates, data inconsistencies were resolved using the 'Find and Replace' function. I also effectively used filters to isolate specific subsets for analysis.

In an effort to streamline the dataset, I identified and removed irrelevant columns. For added context, I integrated a 'Continent' column using the 'VLOOKUP' function. This enrichment enhanced the analysis by providing valuable geographic insights.

Cleaned data Raw data

Data Visualization

The Visualization was done with Power BI Desktop. Click here to interact with the dashoad

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