The Shewhart Chart (aka Control Chart) is the means to operationally define the concept of a stable process. It helps us to understand and reduce variation in our processes.
Aimi Analytics takes care of the math, plotting the data and making statistical calculations as well as pointing out the special causes so you can focus on analyzing the data.
^ Not applicable to Pareto Charts, Run Charts, Scatterplots and Histograms. ^^ Only applicable to Xbar R and Xbar S charts.
Zoom into charts for a closer and more detailed look. This is especially useful for charts with a high number of data points.
As the world is experiencing a pandemic in 2020, you may have noticed that the data is being reported in data tables or maps generally with cumulative numbers.
Cumulative data “smooths” the variation, but only tells us a picture in time where we have been. When the numbers go up and down, people tend to over-react or under-react. Over-reacting during a pandemic can naturally cause hysteria, or fear of making a critical mistake.
Recently, in a ground-breaking article published in US World Report, API partner, Lloyd Provost et al took COVID-19 death statistics and created a new Exponential Shewhart chart. Aimi has the ability to draw this chart which is used to model the behavior of a contagious disease such as COVID-19.
Collaboration is usually done via email where information can get lost and is hard to find leading to your inbox being overwhelmed with old messages. This is especially true for Excel add-ins as it is the only way to share information for these applications.
Leave inbox clutter behind as each user can go into the charts (provided that they have access to it) and comment, leave a message, feedback or ask questions leading to a collaboration. As all material is in one place, this makes it easier to find relevant information.
Here is a complete list of the charts Aimi Analytics has:
