As part of my Getting COVID-19 Data posts in R, Python and Julia, I will now advance to part two of the conversion process. As we saw in Part 1 of this post series, we duplicated the R scripts into the language specific script folder and changed the file extensions to the appropriate language. In…
Getting COVID-19 Data (Julia)
In this post, I will cover getting open source COVID-19 data for the United States using Julia. The data pipeline demonstrated here is very simple example and could easily be adapted into a Prefect, Apache NiFi or Apache AirFlow ETL process. Data Search Performing a quick search on DuckDuckGo I got The COVID Tracking Project,…
Getting COVID-19 Data (Python)
In this post, I will cover getting open source COVID-19 data for the United States using Python. The data pipeline demonstrated here is very simple example and could easily be adapted into a Prefect, Apache NiFi or Apache AirFlow ETL process. Data Search Performing a quick search on DuckDuckGo I got The COVID Tracking Project,…
Converting R scripts to Julia (Part 1)
UPDATE (8-JAN-2021): I have decided to demonstrate the conversion process using my Getting COVID-19 Data post and script instead of my Criminal Analysis project for right now. I will still be working through the conversion process for those scripts as well, but for now, I will demonstrate the conversion and translation process on a shorter…
Getting COVID-19 Data (R)
In this post, I will cover getting open source COVID-19 data for the United States using R. The data pipeline demonstrated here is very simple example and could easily be adapted into a Prefect, Apache NiFi or Apache AirFlow ETL process. Data Search Performing a quick search on DuckDuckGo I got The COVID Tracking Project,…
Converting R scripts to Python (Part 1)
As part of my Criminal Analysis project, I have been initially coding everything in R. I am going to eventually convert everything to Python then probably to Julia. In preparation for this, I created my project directory to reflect this (as seen below). The following operations in the command line interface (CLI) will be in…
Criminal Analysis: Data Exploration (part 2b)
Exploring Mapping Data In a continuation from part 2a, this post will explore the spatial points datasets from my database. I need to assess what each dataset contains. To aid in the exploration of spatial data, I will demonstrate plotting spatial points. This can be a lot easier to look at this particular structure in…
Criminal Analysis: Data Exploration (part 2a)
Exploring Mapping Data My next exploration task is the mapping/geospatial tables in my database. I need to assess the what each dataset contains. To aid in the exploration of spatial data, I will demonstrate plotting of spatial points and polygons. This can be a lot easier to looking at this particular structure in tabular or…
Criminal Analysis: Data Exploration (part 1)
Exploring Criminal Activity Data My primary data set to explore is the crime table in my database. I need to assess the values and consistency across each of the fields available in what was provided by the source. It is possible for data to be a little inconsistent across each of the years over the…
Introduction to the Elastic Stack
This post will describe the Elastic Stack, also and formerly the ELK Stack, and its individual components. In a follow-up post, I’ll demonstrate how to get the ELK Stack up and running. What is the ELK Stack? The ELK Stack consists of Elasticsearch, Logstash and Kibana developed by Elastic. Later the company came out with…