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What is nigerian-energy-access-distribution-project?

ifexxx-dat/nigerian-energy-access-distribution-project — explained in plain English

Analysis updated 2026-05-18

0Audience · dataComplexity · 2/5Setup · easy

In one sentence

A three-page Power BI dashboard analyzing Nigeria's electricity access, state-by-state disparities, and utility company performance from 1990 to 2023.

Mindmap

mindmap
  root((Nigerian Energy Dashboard))
    What it does
      Tracks electricity access
      Compares states
      Rates DISCO performance
    Tech stack
      Power BI
      Power Query
      DAX
    Use cases
      Spot regional gaps
      Compare utility losses
      Track access over time
    Audience
      Analysts
      Policy researchers

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Explore how Nigeria's electricity access has changed from 1990 to 2023.

USE CASE 2

Compare electricity access across all 36 Nigerian states and the FCT.

USE CASE 3

Identify which distribution companies have the highest and lowest power losses.

USE CASE 4

See the access gap between northern and southern regions of Nigeria.

What is it built with?

Power BIPower QueryDAXExcel

How does it compare?

ifexxx-dat/nigerian-energy-access-distribution-project0verflowme/alarm-clock0xhassaan/nn-from-scratch
Stars00
LanguageCSSPython
Last pushed2022-10-03
MaintenanceDormant
Setup difficultyeasyeasymoderate
Complexity2/52/54/5
Audiencedatavibe coderdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 30min

Requires Power BI Desktop installed to open and explore the .pbix dashboard file.

No license information is provided in the README.

So what is it?

This is a three page Power BI dashboard that analyses Nigeria's electricity access and distribution performance using data spanning 1990 to 2023. Power BI is a data visualization tool that turns raw numbers into interactive charts and reports. The project explores how much of Nigeria's population has electricity, how that figure has changed over 30 years, how access varies across all 36 states and the FCT, and how well the 11 electricity distribution companies, called DISCOs, are performing. The dashboard draws on World Bank open data for national level access rates and per capita power consumption, supplemented by state level figures and DISCO performance data manually structured from published NBS and NERC reports. The raw World Bank files came in a wide format with one column per year, so they were reshaped using Power Query, Microsoft's built in data preparation tool, into a long format that Power BI can work with for time based visuals. Because multiple tables all need a time dimension, the model uses a central Year table as a shared reference point rather than linking the fact tables directly to each other. Calculated measures written in DAX, the formula language built into Power BI, compute things like year over year access change, the north south regional gap, worst and best performing DISCOs by loss percentage, and collection efficiency rates. The first page covers national trends and shows that access grew from 27 percent in 1990 to 61 percent in 2023, though over 90 million Nigerians remain without power. The second page breaks down access by state, with Lagos leading at 87 percent and Yobe at 22 percent, using a color graded matrix to highlight the gap. A third page looks at DISCO level distribution performance, comparing losses, metering, billing, and collection efficiency across companies. The full README is longer than what was shown.

Copy-paste prompts

Prompt 1
Explain how this dashboard turned wide-format World Bank data into a format Power BI can chart.
Prompt 2
Walk me through the Year table approach this project uses to link multiple fact tables.
Prompt 3
Show me the DAX measures used to calculate year-over-year electricity access change.
Prompt 4
Help me rebuild the DISCO performance page using the same Power Query and DAX approach.

Frequently asked questions

What is nigerian-energy-access-distribution-project?

A three-page Power BI dashboard analyzing Nigeria's electricity access, state-by-state disparities, and utility company performance from 1990 to 2023.

What license does nigerian-energy-access-distribution-project use?

No license information is provided in the README.

How hard is nigerian-energy-access-distribution-project to set up?

Setup difficulty is rated easy, with roughly 30min to a first successful run.

Who is nigerian-energy-access-distribution-project for?

Mainly data.

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