LogoLogo
Log InSign UpHomepage
  • 👋Welcome
  • Account and Team Setup
    • Sign up
    • Subscription Plans
    • Profile information
    • Account information
    • Roles
    • Users
    • Tags
  • FAQ
  • UNDERSTANDING MACHINE LEARNING
    • What is Graphite Note
      • Graphite Note Insights Lifecycle
    • Introduction to Machine Learning
      • What is Machine Learning
      • Data Analitycs Maturity
    • Machine Learning concepts
      • Key Drivers
      • Confusion Matrix
      • Supervised vs Unsupervised ML
  • Demo datasets
    • Demo Datasets
      • Ads
      • Churn
      • CO2 Emission
      • Diamonds
      • eCommerce Orders
      • Housing Prices
      • Lead Scoring
      • Mall Customers
      • Marketing Mix
      • Car Sales
      • Store Item Demand
      • Upsell
    • What Dataset do I need for my use case?
      • Predict Cross Selling: Dataset
      • Predict Customer Churn: Dataset
      • Predictive Lead Scoring: Dataset
      • Predict Revenue : Dataset
      • Product Demand Forecast: Dataset
      • Predictive Ads Performance: Dataset
      • Media Mix Modeling (MMM): Dataset
      • Customer Lifetime Value Prediction : Dataset
      • RFM Customer Segmentation : Dataset
    • Dataset examples - from online sources
      • Free datasets for Machine Learning
  • Datasets
    • Introduction
    • Prepare your Data
      • Data Labeling
      • Expanding datasets
      • Merging datasets
      • CSV File creating and formatting
    • Data sources in Graphite Note
      • Import data from CSV file
        • Re-upload or append CSV
        • CSV upload troubleshooting tips
      • MySQL Connector
      • MariaDB Connector
      • PostgreSQL Connector
      • Redshift Connector
      • Big Query Connector
      • MS SQL Connector
      • Oracle Connector
  • Models
    • Introduction
    • Preprocessing Data
    • Machine Learning Models
      • Timeseries Forecast
      • Binary Classification
      • Multiclass Classification
      • Regression
      • General Segmentation
      • RFM Customer Segmentation
      • Customer Lifetime Value
      • Customer Cohort Analysis
      • ABC Pareto Analysis
      • New vs Returning Customers
    • Predict with ML Models
    • Overview and Model Health Check
    • Advanced parameters in ML Models
    • Actionable insights in ML Models
    • Improve your ML Models
  • Notebooks
    • What is Notebook?
    • My first Notebook
    • Data Visualization
  • REST API
    • API Introduction
    • Dataset API
      • Create
      • Fill
      • Complete
    • Prediction API
      • Quickstart
      • Request
        • Headers
        • Payload
        • Data
      • Response
        • Response Structure
      • API Limits
    • Model Results API
      • Quickstart
      • Request
        • Headers
        • Body
      • Response
      • Usage Notes
      • Code Examples
Powered by GitBook
On this page

Was this helpful?

Export as PDF
  1. Datasets
  2. Data sources in Graphite Note
  3. Import data from CSV file

Re-upload or append CSV

PreviousImport data from CSV fileNextCSV upload troubleshooting tips

Last updated 7 months ago

Was this helpful?

If you've collected additional data related to your previously uploaded CSV file or there have been changes to the existing data, you can use the re-upload option. This allows you to update or append new data to your existing dataset. Expanding your dataset with more records can benefit your machine learning model, but the impact depends on the quality and relevance of the new data. Learn more about the benefits of dataset expansion .

How to Re-upload a CSV File:

  1. Go to the Datasets List:

    • Navigate to the list of datasets.

  1. Select the Dataset:

  • Choose the dataset you wish to re-upload.

  1. Select Re-upload:

  • Click on the 'Re-upload' option.

  1. Choose Options and upload:

  • Decide on data append:

    • Depending on your needs, you can choose 'Append data' to add new records to the existing dataset. If 'Append data' is turned off, the new dataset will overwrite the existing

  • Upload Your File:

    • Select or drag and drop your CSV file. Ensure the file has the same column structure as the previously uploaded file.

  • Click Update to complete the re-upload process.

here