Quickly import and analyze battery cycling data, with most of the data cleaning done for you automatically!
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
- Download interactive widgets as html files for easy sharing
- Possible markdown report generation for reproducible research
- Manual mode for graph creation
- Add annotations to graphs
- Recommendations tab to detect patterns and exceptions within the dataset
- Always improving the underlying decision algorithms