Quick Analysis

Quickly import and analyze battery cycling data, with most of the data cleaning done for you automatically!

Features

Everything is live-updating and interactive, so you can change anything at any time!

Import heterogenous datasets from a variety of file types, formats, and structures
Stitch together files by giving them the same Battery ID and appending a #1 or #2 etc. at the end
Automatically identify and standardize time stamps across data sources
Merge dissimilar column names using an interactive heatmap and diagnostic tools
Datasets are automatically sorted by type and ID, and can be easily changed at any time
Label table supports autofill, copy-paste, and drag-and-drop to improve ease of use
Customize charting colors at any time using hex colors or named colors (default colorset is monospaced pastel)

Continuous variable analysis allows you to explore and compare time series
Discrete variable analysis allows you to reduce cycling data by finding intersections of x-y pairs
Filter down your dataset by any combination of variables to help find what you're looking for
Toggle calculation of the average and standard error of the mean by type
Check out a derived version of the cycling protocol and investigate testing differences between batteries
Choose between a line graph and a bar graph depending on the size of your dataset
Work through raw data in the table tab using the filtering tools, or download as a csv for use in an external application
Long-form data is best suited for relational computations, such as PivotTable in Excel
Wide-form data is best suited for ordinal computations, such as making gaphs in Excel

Choose between three different themes for your high resolution downloadable graph
Move the legend around to a non-intrusive location
Change the font size to improve readability
Optionally add a chart title
Select a custom x and y range for graphing
Add a horizontal line to call attention to a critical event