LRKFallon
I'm interested in financial data. Experience includes: Statistical Officer, ONS in UK Gov. AML in HSBC Global Banking, NYC. Before that, mechanical engineering
Engineering Development TrustMumbai, India
Pinned Repositories
fraud-detection-in-transactions-with-SQL
Identifying high-risk transactions in dummy data using ip addresses, postal code and email
hacker_news-analysis-2007-to-2017-with-SQL
Using SQL to analysis the posts and contributors to ycombinator's hacker news from inception in 2007 to 2017
NVDA-financial-analysis
Sorting-a-data-frame-and-plotting-a-time-series-to-find-which-country-is-richest-per-person.ipynb
Using data from a .csv file, ranging from year 1952 onwards, the data frame has been sorted and visualised by plotting a time series to find which country is the richest on a per person basis. I made created this using pandas, matplotlib and pyplot, run on Jupyter Notebooks.
Time-series-line-graph-to-show-China-USA-Population-Growth-Data-Analysis-with-Python-Pandas.ipynb
Graph 1 shows the absolute population of China and the USA. Graph 2 shows the % population growth of China and the USA.
Useful-modules-of-code-for-Data-Analysis-with-Python-Pandas
Modules of code for future data analysis projects.
Using-a-Bar-Chart-to-Compare-GDP-and-Population-of-the-World-s-Most-Populous-Countries-in-2007.ipynb
Bar chart comparing populations in millions, with GDP in billions, formatted for Jupyter Notebook.
Using-Data-Aggregation-and-a-Scatter-Plot-to-Analyse-Obama-s-Approval-Rating-from-2008-to-2017.ipynb
Scatter graph, with median and percentile plots, displaying Obama's approval ratings from 2008 to 2017, using data imported from a CSV file.
LRKFallon's Repositories
LRKFallon/Sorting-a-data-frame-and-plotting-a-time-series-to-find-which-country-is-richest-per-person.ipynb
Using data from a .csv file, ranging from year 1952 onwards, the data frame has been sorted and visualised by plotting a time series to find which country is the richest on a per person basis. I made created this using pandas, matplotlib and pyplot, run on Jupyter Notebooks.
LRKFallon/Using-Data-Aggregation-and-a-Scatter-Plot-to-Analyse-Obama-s-Approval-Rating-from-2008-to-2017.ipynb
Scatter graph, with median and percentile plots, displaying Obama's approval ratings from 2008 to 2017, using data imported from a CSV file.
LRKFallon/fraud-detection-in-transactions-with-SQL
Identifying high-risk transactions in dummy data using ip addresses, postal code and email
LRKFallon/hacker_news-analysis-2007-to-2017-with-SQL
Using SQL to analysis the posts and contributors to ycombinator's hacker news from inception in 2007 to 2017
LRKFallon/NVDA-financial-analysis
LRKFallon/Time-series-line-graph-to-show-China-USA-Population-Growth-Data-Analysis-with-Python-Pandas.ipynb
Graph 1 shows the absolute population of China and the USA. Graph 2 shows the % population growth of China and the USA.
LRKFallon/Useful-modules-of-code-for-Data-Analysis-with-Python-Pandas
Modules of code for future data analysis projects.
LRKFallon/Using-a-Bar-Chart-to-Compare-GDP-and-Population-of-the-World-s-Most-Populous-Countries-in-2007.ipynb
Bar chart comparing populations in millions, with GDP in billions, formatted for Jupyter Notebook.