Kanishka Narayan's repositories
SuperTrendfor50Stocks
Project name- Super Trend Visulaization Author- Kanishka Narayan Description- Use this code to re-create a visulization application used to analyze and visualize stock data. The original visualization can be found here-https://supertrend2.herokuapp.com/
Python-DataUpdate-DataProcessor-kbn
The python module can be used to scrape data and process data from different sources. The python module can output data as either as a dataframe in the country year format or it will output data in excel files This module has primarily been created for processing data for the International Futures (IFs) Project however, it can be used to process data in general. The module can be used to process data from the following sources, 1) World Bank World Development Indicators (WDI) 2) UNESCO Education indicators(UIS) 3) FAO Food Balance Sheets (FAO) 4) IMF Global Finance Statistics (IMF GFS) 5) Health data from the Institute for Health and Metric Evaluation (IHME) 6) Water data from FAO AQUASTAT 7) Energy data from EIA Currently this module can be run as is on Windows. For usage on Macs, the user may have to make changes to the code lines which specify paths.
COVID-19-Visualizations
Some visualizations and visualization applications related to the COVID 19 pandemic
python-cheatsheet
Comprehensive Python Cheatsheet
Residual-analysis-application
Residuals are widely used as a part of statistical analysis. However, there are various dimensions that are available to analyze residuals such as the statistical relationships (relationships with different variables), temporal dimensions (the predicted vs actual value over time), cross-sectional dimensions (the value of individual observations) and metrics over time (summary stats over time). This python dashboard helps a user explore these dimensions for residuals (where Logged GDP is used as the IV) that are dynamically generated using a python function
camelot
A Python library to extract tabular data from PDFs
Command-line-GDAL
Bash script for basic transformations in GDAL
dash-table
A First-Class Interactive DataTable for Dash
gcam-core
GCAM -- The Global Change Analysis Model version used for Di Vittorio et al.
gcamdata
The GCAM data system
gdal2
Modern GDAL/PROJ/GEOS stack with lots of extra drivers
ggplot_tricks
Here, I collect some tricks I've learned about the {ggplot2} R package
glmtools
Tools for interacting with the General Lake Model (GLM) in R
hector
The Hector Simple Climate Model
hectorui
A web-based interactive scenario builder and visualization application for the Hector climate model
khan-etal_2022_tethysSSPRCP
Meta Repository for Tethys paper. Global monthly sectoral water use for 2010-2100 at 0.5° resolution across alternative futures.
maxsmooth
Constrained Derivative Function Optimisation
rgis
R-based Geographic Information System (GIS) utilities