Eda Of Nigeria Covid19 First wave using Python
# 🦠Nigeria COVID-19 Early Pandemic EDA
### Exploratory Data Analysis of Nigeria's First Wave (Feb 27 – Mar 30, 2020)
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## 📌 Project Overview
This project performs an Exploratory Data Analysis (EDA) of Nigeria's earliest recorded COVID-19 cases, using data sourced from the **Nigeria Centre for Disease Control (NCDC)** via Kaggle.
The dataset captures the **first 33 days** of Nigeria's pandemic response — from the country's index case on February 27, 2020, through March 30, 2020. This period represents a critical window: the initial detection, spread, and early government response before national lockdown measures were introduced.
This analysis answers five core questions:
- How did COVID-19 cases grow nationally in the first 33 days?
- Which states bore the highest burden of infections and deaths?
- What were the fatality and recovery rates at this early stage?
- How did weekly case counts accelerate over time?
- How large was the gap between suspected and confirmed cases?
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## đź“‚ Dataset
| Property | Detail |
|---|---|
| **Source** | NCDC via Kaggle (Ajibola Lawal) |
| **Period** | February 27, 2020 – March 30, 2020 |
| **Records** | 304 rows |
| **States Covered** | 27 Nigerian states + FCT |
| **Format** | `.xls` / `.csv` |
### Columns
| Column | Description |
|---|---|
| `Date` | Date of record |
| `Location` | Nigerian state |
| `Suspected Cases` | Suspected (unconfirmed) cases per state per day |
| `Nr. Of New Cases` | Newly confirmed cases per state per day |
| `Total Confirmed Cases` | Cumulative confirmed cases per state |
| `Deaths` | Deaths recorded |
| `Recovered` | Recoveries recorded |
| `Long` / `Lat` | Geographic coordinates of each state |
| `Source` | NCDC situation report URL (dropped in analysis) |
> **Note:** The raw dataset is preserved untouched. All cleaning and transformations are performed entirely in Python code.
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## 🔍 Key Findings
| Metric | Value |
|---|---|
| Total Confirmed Cases | 132 |
| Total Deaths | 7 |
| Total …