Contents Menu Expand Light mode Dark mode Auto light/dark, in light mode Auto light/dark, in dark mode Skip to content
Light Logo Dark Logo

Getting started

  • Getting Started
    • crandas for Data Scientists
    • Installing and configuring crandas
    • First steps
    • Combining data

User Guide

  • Introduction
  • Data Manipulation and Aggregation
    • Importing/exporting data
    • Data structures in crandas
    • Basic table operations
    • Selecting data
    • Data types
    • Working with numeric data
    • Working with text data
    • Working with binary data
    • Working with dates
    • Working with missing data
    • Categorical data
    • Merge, join, and concatenate
    • Group by
    • Tips and tricks
  • Machine Learning and Statistics
    • Descriptive statistics
    • Binomial logistic regression
    • Multinomial logistic regression
    • Ordinal logistic regression
    • Linear regression
    • K-nearest neighbors
    • Random forest classification
  • Authorization
    • The Approval Workflow
    • Recording a Script
    • Guide for approvers

Reference

  • API documentation
    • crandas.base
    • crandas.check_recording
    • crandas.crandas
    • crandas.crlearn
    • crandas.ctypes
    • crandas.config
    • crandas.connection_file
    • crandas.crypto
    • crandas.errors
    • crandas.groupby
    • crandas.placeholders
    • crandas.re
    • crandas.script
    • crandas.stateobject
    • crandas.stats
    • crandas.transactions
    • crandas.compat
    • crandas.unsafe
    • Query Arguments
  • Known limitations

Tutorials

  • Tutorials
    • Joining data
      • Joining data - [Party 2]
      • Joining data - [Party 1]
    • Regression
      • Linear regression
      • Logistic regression
    • Authorization
      • Platform data upload
      • Survey
    • Fuzzy matching
    • Data exploration
Versions
    1.16.x
    1.15.x
    1.14.x
    1.13.x
    1.12.x
    1.11.x
    1.10.x
    1.9.x
    1.8.x
    1.7.x
    1.6.x
    1.5.x
Current Version:
1.16.x
Changelog
Help Center
Back to rosemanlabs.com
Back to top
View this page

Getting StartedΒΆ

Welcome to the Getting Started guide for crandas!

In this document, you will learn how to install crandas, connect it to the Roseman Labs engine and use it. Follow along to learn how to use the basic functionalities of crandas. crandas is based on the ubiquitous data science library pandas and people familiar with it might be interested in how they compare.

  • crandas for Data Scientists
  • Installing and configuring crandas
  • First steps
  • Combining data
Next
crandas for Data Scientists
Previous
Home
Copyright © 2020-2025, Roseman Labs
Made with Sphinx and @pradyunsg's Furo