Nigeria COVID-19 Analysis Using Python

README.md

@@ -1,2 +1,59 @@
-# Nigeria-COVID-19-Data-Analysis-Using-Python
-Data Scientist Microdegree Capstone Project
+## The project sort to collect and analyse data from the COVID-19 pandemic cases as means to analyze and generate insight to the impact incur by Nigeria from the global event that affected nations of the world
+
+#Project Steps
+
+Step 1: The appropriate libraries were imported and data was scraped from the Official NCDC Website
+
+Libraries Imported
+
+.matplotlib.pyplot .warnings .time .BeautifulSoup from bs4 .seaborn .requests .numpy .urllib.request .pandas .csv
+
+Methods Used
+
+.strip() .find_all() .append() .reshape() .read_html() .time() .get() .Find()
+
+Attributes Used
+
+.content Step 2: Data was extracted from the Josh Hopkins Data Repository
+
+Methods Used
+
+.read_csv()
+
+Step 3: Data was extracted from external data sources
+
+Methods Used
+
+.read_csv()
+
+Step 4: Data from Josh Hopkins Repository which contained global data was removed to Nigeria's data, columns was renamed from the NCDC data to another and special characters was removed from the numerical columns.
+
+Methods Used
+
+.apply() .drop() .rename() .melt() to_datetime()
+
+Attributes Used
+
+.columns
+
+Step 5: Data Analyses is performed and visualizations is created.
+
+Methods Used
+
+.diff() .max() .idmax() .rename() .replace() .merge() .twinx() .corr() .nlargest() .color_palette() .set_context() .figure() .title() .xlabel & ylabel .xticks & yticks .abs() .plot_relation() .sum() .legend() .xlim & ylim .axhline() .max() .idmax() .rename() .replace() .merge() .twinx() .corr()
+
+Attributes Used
+
+.Date .index
+
+Plots Created
+
+.pointplot .heatmap .pie .regplot .barplot .lineplot
+
+Expressions
+
+.lambda expression
+
+Presentation
+
+can be found in covidproject.ppt.pptx