{"id":19998090,"url":"https://github.com/nialled69/sugarcane-production-project","last_synced_at":"2026-05-16T08:34:38.928Z","repository":{"id":240088455,"uuid":"801547125","full_name":"Nialled69/Sugarcane-Production-Project","owner":"Nialled69","description":"Exploratory Data Analysis (Univariate and Bivariate analysis) on World-wide Sugarcane Production dataset. ","archived":false,"fork":false,"pushed_at":"2024-05-25T14:03:24.000Z","size":624,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-12T12:42:08.387Z","etag":null,"topics":["csv","data-visualization","dataanalysis-projects","eda","jupyter-notebook","matplotlib-pyplot","pandas-dataframe","python3","seaborn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Nialled69.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}},"created_at":"2024-05-16T12:49:09.000Z","updated_at":"2024-09-04T05:27:43.000Z","dependencies_parsed_at":"2025-01-12T12:41:59.652Z","dependency_job_id":"4dd632a1-f822-47a3-88d7-7037a3bcec67","html_url":"https://github.com/Nialled69/Sugarcane-Production-Project","commit_stats":null,"previous_names":["nialled69/sugarcane-production-project"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nialled69%2FSugarcane-Production-Project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nialled69%2FSugarcane-Production-Project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nialled69%2FSugarcane-Production-Project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nialled69%2FSugarcane-Production-Project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Nialled69","download_url":"https://codeload.github.com/Nialled69/Sugarcane-Production-Project/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241435160,"owners_count":19962407,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["csv","data-visualization","dataanalysis-projects","eda","jupyter-notebook","matplotlib-pyplot","pandas-dataframe","python3","seaborn"],"created_at":"2024-11-13T05:07:19.768Z","updated_at":"2026-05-16T08:34:38.890Z","avatar_url":"https://github.com/Nialled69.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Sugarcane-Production-Project - An Exploratory Data-Analysis project\n\nA step-by-step Data Analysis on the World-wide Sugarcane production dataset (Dataset available in the Repository)\n\n## How to initialise the project ? 🌆\n\n- Download Anaconda Navigator from [here](https://www.anaconda.com/download/success)\n\n- Install Anaconda and run `Jupyter Notebook` from the conda GUI.\n\n- Clone this repository by running the below line\n  \n```cmd\ngit clone https://github.com/Nialled69/Sugarcane-Production-Project.git\n```\n\n## Project Features\n\n- Data is cleaned first thouroughly and the cleaned data is saved\n\n- Univariate and Bivariate Analysis are then done on the cleaned dataset\n\n- Data Visualisation is done\n\nYou can explore all of this once you clone the repo and initiate the project\n\n*Thank You for reading. Hope you have a great day !!*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnialled69%2Fsugarcane-production-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnialled69%2Fsugarcane-production-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnialled69%2Fsugarcane-production-project/lists"}