{"id":22498667,"url":"https://github.com/visprex/visprex","last_synced_at":"2026-04-06T12:01:22.442Z","repository":{"id":199750248,"uuid":"675861206","full_name":"visprex/visprex","owner":"visprex","description":"Visualise your CSV files in seconds without sending your data anywhere","archived":false,"fork":false,"pushed_at":"2026-03-29T21:48:03.000Z","size":998,"stargazers_count":517,"open_issues_count":0,"forks_count":12,"subscribers_count":2,"default_branch":"main","last_synced_at":"2026-03-30T00:46:50.282Z","etag":null,"topics":["data-science","econometrics","statistics","visualization"],"latest_commit_sha":null,"homepage":"https://www.visprex.com","language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/visprex.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2023-08-07T22:52:46.000Z","updated_at":"2026-03-29T21:48:01.000Z","dependencies_parsed_at":"2024-11-25T04:25:08.363Z","dependency_job_id":"0a3dcb7a-205e-44eb-95b5-daa425da80ac","html_url":"https://github.com/visprex/visprex","commit_stats":null,"previous_names":["kengoa/visprex","visprex/visprex"],"tags_count":12,"template":false,"template_full_name":null,"purl":"pkg:github/visprex/visprex","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/visprex%2Fvisprex","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/visprex%2Fvisprex/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/visprex%2Fvisprex/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/visprex%2Fvisprex/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/visprex","download_url":"https://codeload.github.com/visprex/visprex/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/visprex%2Fvisprex/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31471466,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-06T08:36:52.050Z","status":"ssl_error","status_checked_at":"2026-04-06T08:36:51.267Z","response_time":112,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","econometrics","statistics","visualization"],"created_at":"2024-12-06T22:01:40.803Z","updated_at":"2026-04-06T12:01:22.411Z","avatar_url":"https://github.com/visprex.png","language":"TypeScript","readme":"\u003cdiv\u003e\n  \u003cp align=\"center\"\u003e\n    \u003cimg src=\"https://github.com/visprex/visprex/assets/20113339/03fae63d-6518-45b5-affd-da00e0c746b2\" /\u003e\n  \u003c/p\u003e\n  \u003cp align=\"center\"\u003eVisualise your CSV files \u003cb\u003ein seconds\u003c/b\u003e without sending your data anywhere\u003c/p\u003e\n  \u003cp align=\"center\"\u003e \u003ca href=\"https://www.visprex.com\"\u003eVisprex App\u003c/a\u003e | \u003ca href=\"https://docs.visprex.com\"\u003eDocumentation\u003c/a\u003e\u003c/p\u003e\n\u003c/div\u003e\n\n## Getting Started\n\n### Loading your dataset\nYour data is processed entirely in your browser without sending your data to any backend servers. The only network calls this application makes are for downloading example datasets from public GCS buckets.\n\nOnce you load your CSV file, it will automatically parse your data into one of `Categorical`, `Number`, or `DateTime` types.\n\n![schema](https://github.com/user-attachments/assets/d526dfb9-adc6-4028-8b1d-71d96780a7ba)\n\n\u003e Reference: [Loading your dataset](https://docs.visprex.com/features/datasets/)\n\n\n### Visualise your data\n#### Histogram\nHistograms are useful for understanding feature distributions, especially to see if they follow certain distributions (e.g. Gaussian, uniform, Poisson etc).\n\n![hist](https://github.com/user-attachments/assets/981439d2-29e5-4250-a069-8e95ec66fc90)\n\nThere are also built-in feature transformation methods (square, natural log, log10) available.\n\n![log_hist](https://github.com/user-attachments/assets/5876a33d-7ae8-49a0-8621-a598b0b75424)\n\n\u003e Reference: [Understand feature distributions](https://docs.visprex.com/features/histogram/)\n\n\n#### Scatter Plot\nYou can choose two variables to visualise on a 2D scatter plot. The first variable you choose will appear on the X-axis, and the second will appear on the Y-axis.\n\nHovering over individual points will show you the details of that instance.\n\n![scatter](https://github.com/user-attachments/assets/7b3c2d79-7ad6-416c-98ef-d4d9d647f5f9)\n\nYou can optionally add **filters** to control for certain variable values or look at specific sub-sections. See reference for a list of supported operators.\n\n![filters](https://github.com/user-attachments/assets/509b56d2-4a05-45e3-907c-e6bee4d6859e)\n\n\u003e Reference: [Visualise linear relationships](https://docs.visprex.com/features/scatterplot/)\n\n#### Line Plot\nLine plot can visualise the trends and seasonality of your `Numerical` features. Only `DateTime` features will be available in the X-axis. Hovering over the line plot will display the values at that point in time.\n\n![lineplot](https://github.com/user-attachments/assets/dfb3f76f-d6f0-4c97-8c61-788e36fe1f65)\n\n\u003e Reference: [Identify trends and seasonality over time](https://docs.visprex.com/features/lineplot/)\n\n\n#### Correlation Matrix\nYou can find linear correlations for any pair of variables from the correlation map, where purple indicates positive correlation and red indicates negative correlation.\n\n![corr](https://github.com/user-attachments/assets/1b5a2eb6-5129-478c-947f-8685d41363de)\n\n\u003e Reference: [Check correlatins between features](https://docs.visprex.com/features/correlation/)\n\n#### Modelling\nYou can run linear regressions on your uploaded dataset, with R-squared, standard errors, 95% confidence interval, Z-scores, and p-values diplayed along with the coefficients for each explanatory variable.\n\n![ols](https://github.com/user-attachments/assets/e3f1186c-fa99-4562-bf84-5af7010565de)\n\n\u003e Reference: [Quantify your intuition with linear regression](https://docs.visprex.com/features/modelling/)\n\n\n## Development\n\n```bash\nnpm ci\nnpm run dev\nopen http://localhost:5173/\n```\n","funding_links":[],"categories":["TypeScript"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvisprex%2Fvisprex","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvisprex%2Fvisprex","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvisprex%2Fvisprex/lists"}