About EarthWalker
The Data Scientist's Digital EDC (EveryDay Carry) Tool. Handy for everyone.
In the physical world EarthWalker is an unusual type of real 🌻 sunflower, distinguished by its ray petals' range of red and yellow colors.
Since our app's visual interface is quite distinguished and built around the concept of "farming sunflowers," we decided to name it similarly.
Meet the digitally reborn EarthWalker. Yet still a flower, now also an Information-Agnostic Survive & Thrive Tool for Data Science, featuring:
Features:
- ✅ Visual GUI that inspires you to look differently at data workflows and explore new useful paths
- ✅ Information-agnostic approach handles numerical and categorical data across industries
- ✅ Import formats: CSV, Excel, Parquet, LAS (Log ASCII Standard in GeoScience)
- ✅ Data manipulation: Clean, Filter, Edit, Transform, Feature Engineering
- ✅ Visualizations: Table, Crossplot, Histogram, BoxPlot, etc
- ✅ SQL query support
- ✅ Unsupervised ML: PCA & Clustering
- ✅ Supervised ML: Regression & Classification
- ✅ Export formats: CSV, Parquet
EarthWalker: Field Edition is a cross-platform desktop application — your digital sunflower farm — that turns every loaded tabular data column into a SunFlower (yes—complete with root, stem, head, and seeds). Naturally, every app User becomes a Farmer, managing a SunFlower Field (a table). From there, your daily Data Science workflow unfolds like a Farmer's routine, guided by a core philosophy:
Plant seeds. Grow sunflowers. Harvest insights.
Your tabular file is full of dataSeeds. Numerical and Categorical. Drop it into an empty Field—once planted, those dataSeeds mature into SunFlowers. Then, use the available Harvest Tools to extract meaningful data insights.
Have a look at our video tutorials to better understand how to work with EarthWalker and its Value for You, the Data Scientist... or should we call you the Farmer from now on?
Your data Harvest Tools available:
Seeds Viewer: Stevenson Edition
It's a Treasure Chest where dataSeeds are Gold. And SQL editor to manipulate your dataset. P.S. Beware! Billy Bones's account book can be found within; that YAML Captain's journal is for your favorite commands.
Stem Viewer: Aqyn Edition
It's an Observer of individual SunFlowers. And your columns viewer (1.5D scatterplot, 1D statistics, multicell). P.S. The Viewer follows Aqyn's Principle—'What I see is what I sing'—when rendering visualizations.
Bouquet Viewer: Van Gogh Edition
It's a Vase for favourite SunFlowers. And a place to compare & stack your most useful columns from different datasets into single one. P.S. Once created, don't forget to save your Bouquet for further analysis or sharing.
Herbarium Viewer: Carroll Edition
It's a Book of Wisdom (with pictures and conversations). And your 2D-4D crossplots with Machine Learning predictions. P.S. Created useful products can be saved as Recipes, allowing you to 'cook' with them on other datasets.