← Hubverse Support Toolkit DMA-PRIME · Clemson University
Hubverse Data PrepTarget data, made submission-ready
Online version

Online version · No-code target data preparation

Turn ordinary files into hub-ready data.

Choose a hub, map your date, location, and value columns, assign targets, and export a clean time-series.csv plus optional reusable Python or R code. This online version checks the selected hub’s current public configuration; your uploaded data stays in this browser.

Online version · Live hub checks

Add your source data

Upload Excel, CSV, TSV, JSON, or text data; paste from a spreadsheet; or type rows directly. Headers can have any names.

Required: one date column, one location column, and one observed value column.
Hubverse Data Prep walkthrough
Step 1 of 4

Bring in almost any table

Start with modern Excel, CSV, TSV, JSON, pasted spreadsheet data, or a few manually entered rows.

  • Excel worksheet and header-row selection included
  • Your data stays in this browser
Choose an Excel worksheet

Select the worksheet containing the data and identify its header row.

Data begin on the next non-empty row.
Worksheet previewFirst 8 rows