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Importance of Data Normalization in Complex Environmental Data Sets

Prior to making any statistical interference, the distribution of the metal and TSS data is required to be assessed if outlier concentrations are present due to variability in the measurement or experimental error. This pre-processing procedure is referred to as:

Data Normalization

The goal of normalization is to...

t-SNE is so last week, all the cool kids are using UMAP now!

Importance of staying on top of trends as a subject matter expert.

I wrote an article discussing the applications of t-distributed stochastic neighbor embedding (t-SNE) as an improved technique for dimensionality reduction and cluster association comparable to the overused Principal Component Analysis (PCA). Although...

What does the Human Genome, every image on Google and your chemical data set all have in common?

High-dimensional data reduction using Machine Learning can help find the commonalities hidden in big data.

The ability to collect data is constantly exponentially evolving and there has a been a surge in exploring the world of ‘Big Data Analytics’ in environmental forensics. This coupled with the high-throughput and...

Tidy Data

As a teenager, I was notorious in my family for having the messiest of rooms. While I preferred to call it “organized chaos” rather than a mess, I cannot deny the amount of time and effort I spent (wasted) when needing to locate something in that chaos. The struggles I had in finding that missing sock, or my essay I...

BY Steve Shideler Data Science, Big Data

Building trust in statistical models for environmental data

Models and modelling, I was never a big fan. I always thought that you could make models say whatever you want them to say. But, many years later, I have changed my tune, particularly for statistical models. Used right, models can provide convincing lines of evidence that you have the correct answer to your scientific...

BY Court Sandau Data Science, machine learning

Want to find errors in your data? Start analyzing it.

It may be counter intuitive to start statistical analysis on a dataset that hasn’t been fully vetted, but that is exactly what can be done for environmental contaminant datasets. If you can QA-QC them, great. If not, dive right in and start analyzing them.

Big Data GCxGC Analysis and Potential Applications in Forensics

Having recently joined the team at Chemistry Matters Inc., I am excited to have transitioned from academic science to an industry position that has allowed me to apply, on a daily basis, laboratory techniques that I learned and practised during my undergraduate and graduate studies.

Who invented gas chromatography?

Gas chromatography (GC) is an analytical technique that characterizes a chemical mixture by separation and identification of the chemical components. At Chemistry Matters, data generated from GC is used in arson investigations, biomonitoring, and environmental forensic investigations. Developing a concise timeline...

Kid in a candy store = Analytical chemist at PITTCON

Next week, I will be traveling to Philadelphia for the PITTCON Conference. I will be meeting another Chemistry Matters colleague, Michelle Misselwitz there as well. It is not so far to travel for Michelle as she is a resident of Pennsylvania but I will be spending some ever important focus time on a couple of plane...

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