Nigeria’s Electricity Gap and Where the Burden Falls
These reports clearly highlight Nigeria’s electricity gap and where the burden truly falls across electricity distribution companies, regions, and consumers.
Before I continue, let me quickly mention this. Check thread 👉 🧵
This is CV can’t get you a job except you know the CEO
rather use this prompt since you can’t pay:
"I am an English Language graduate from Olabisi Onabanjo University (2nd
Class Lower, 2020-2024) based in Lagos, Nigeria. I have no formal work experience yet but I have [list anything: NYSC, volunteer work, church/student roles, freelance writing, etc.]. I'm targeting roles in banking, immigration, or corporate communications. Please rewrite my CV to be ATS-friendly, results-focused, and one page. Make my personal statement punchy and specific, quantify achievements where possible, replace filler skills with grouped technical and soft skills, and remove the suitability section. Keep the formatting clean and professional."
80 percent of data analysis work happens before visuals.
Data Preparation is one of them
What is Data Preparation in Power BI?
Data preparation is the process of cleaning, shaping, and organizing raw data so you can analyze it.
Read on 👉 🧵
- Different formats
- Missing values
- Inconsistent product names
After preparation in Power BI:
- Sales trends become clear
- Top products are easy to identify
- Management can make decisions faster
still depend on estimated billing.
The goal was not just to build dashboards, but to simplify complex electricity sector data into something decision-makers, businesses, and everyday Nigerians can understand.
Tool: MS Power BI
View the full report here: https://t.co/56xsaoapiC
Nigeria’s Electricity Gap and Where the Burden Falls
These reports clearly highlight Nigeria’s electricity gap and where the burden truly falls across electricity distribution companies, regions, and consumers.
Before I continue, let me quickly mention this. Check thread 👉 🧵
METERING OPERATIONS
- The South West recorded the largest customer base and strongest metering performance.
- Ibadan had the largest customer base overall but less than half of customers were metered.
- Yola recorded the weakest metering rate at 15.5%.
- Millions of customers