Most research projects are reported once experiments are done. Writing a publication or a post is a couple months to years behind. The time of carrying experiments and once the report is available online could distance the findings and the audience's perception on the practicality and connection to the current issues. Time difference also leads to less transparency on data and more possibility of data being manipulated.

Presenting up-to-date data in a form of correlating is one way to shorten the time between experimenting and reporting. Dynamic presentation is attractive to the audience because the audience can be first-hand experienced to what is happening. Presenting correlation is possible with simple experiments which a clear relation of the inputs-outputs.

In this post, I will attempt to chart live graphs with up-to-date data of a $300 Dylos DC1100 Pro true laser particle counter with other $15-30 laser-based particle sensors that has been risened up recently as a core component for fine particle (or PM_2.5) monitoring in the ambient air. The correlation between low-cost sensors with a more reliable one is in need for a better estimation of the actual PM_2.5 in the air. The most vulnerable persons to polluted air are also ones endured the most economic hardship, so that a affordable cost PM_2.5 sensor could, at least, inform them to plan their daily life.