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Alex Nwoko's Projects

a-flexdashboard-for-google-analytics icon a-flexdashboard-for-google-analytics

This is a supporting repository for a blog.rstudio.com blog post about building a flexdashboard for Google Analytics. Part 1 of that blog series can be found at https://blog.rstudio.com/2020/11/27/google-analytics-part1/.

age_calculator_python icon age_calculator_python

This is a simple Python program that takes in a user's date of birth as an input and calculates how long the user has lived either in Seconds, Minutes, Hours, Days, Weeks, Months or Years.

apis icon apis

Code Repo for API course in Fullstack ND

blaze icon blaze

NumPy and Pandas interface to Big Data

bootleaf icon bootleaf

Template for building simple and elegant web mapping applications with Bootstrap and Leaflet

bootstrap-map-js icon bootstrap-map-js

A light-weight JS/CSS extension for building awesome mapping apps with Bootstrap and ArcGIS.

bs4dash icon bs4dash

Bootstrap 4 shinydashboard using AdminLTE3

bslib icon bslib

Tools for theming shiny and rmarkdown from R via Bootstrap (3 or 4) Sass.

calcite-maps icon calcite-maps

A modern framework for designing map apps with Calcite styles and Bootstrap.

chans-tools icon chans-tools

Collections of geoprocessing tools for coupled human-natural systems (CHANS) analysis using R scripts within ESRI's ArcGIS

chime icon chime

COVID-19 Hospital Impact Model for Epidemics

climsoft icon climsoft

Climsoft Desktop for Windows - http://www.climsoft.org

crime_data_in_r icon crime_data_in_r

This is a repository collecting all the materials, code, resources and extras for a UKDS workshop on Crime Data in R, scheduled for Feb 2020.

d3 icon d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

data-science-with-python icon data-science-with-python

Use a complete set of open source tools for data science in Python, including the Jupyter Notebook, NumPy, Pandas, Seaborn, scikit-learn, Colab, and many others. Cover the various phases of exploratory data analysis: importing data, cleaning and transforming data, algorithmic thinking, grouping, aggregation, reshaping, visualization, time series, statistical modeling, and data exploration and communication of results.

datacube-core icon datacube-core

Open Data Cube analyses continental scale Earth Observation data through time

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