{"id":26671090,"url":"https://github.com/vitaliikalyta96/data-analysis","last_synced_at":"2026-04-13T23:31:58.160Z","repository":{"id":279944038,"uuid":"938914251","full_name":"VitaliiKalyta96/Data-analysis","owner":"VitaliiKalyta96","description":"These projects are about data analysis using multiple tools and techniques to derive insights from various datasets.","archived":false,"fork":false,"pushed_at":"2025-03-23T11:42:56.000Z","size":9337,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-23T12:26:41.265Z","etag":null,"topics":["a-b-testing","amplitude","bigquery","google-sheets","looker-studio","postgresql","python","sql","tableau-public","tracking-plan"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/VitaliiKalyta96.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2025-02-25T17:40:57.000Z","updated_at":"2025-03-23T11:42:59.000Z","dependencies_parsed_at":null,"dependency_job_id":"629eaa1c-6320-4716-bba4-142db9f55239","html_url":"https://github.com/VitaliiKalyta96/Data-analysis","commit_stats":null,"previous_names":["vitaliikalyta96/data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VitaliiKalyta96%2FData-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VitaliiKalyta96%2FData-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VitaliiKalyta96%2FData-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VitaliiKalyta96%2FData-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/VitaliiKalyta96","download_url":"https://codeload.github.com/VitaliiKalyta96/Data-analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245562595,"owners_count":20635901,"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":["a-b-testing","amplitude","bigquery","google-sheets","looker-studio","postgresql","python","sql","tableau-public","tracking-plan"],"created_at":"2025-03-25T23:32:54.112Z","updated_at":"2026-04-13T23:31:58.151Z","avatar_url":"https://github.com/VitaliiKalyta96.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Data Analysis Projects\n\n### Overview\n\nThese projects focuses on data analysis using multiple tools and techniques to derive insights from various datasets.\n\nThe goal 🎯  is to explore 📈 , visualize 📊 and interpret data to support decision-making processes.\n\nTools Used: \n\n✅ Google Sheets – For quick data analysis and reporting.\n\n✅ SQL – For querying and managing structured databases.\n\n✅ BiqQuery - A fully managed, serverless data warehouse by Google Cloud that enables fast SQL queries and large-scale \ndata analysis.\n\n✅ Looker Studio – For web-based data visualization.\n\n✅ Tableau – For interactive data visualization and dashboards.\n\n✅ Amplitude - A product analytics platform that helps teams track user behavior, analyze engagement, and make data-driven \ndecisions.\n\n✅ Python (Pandas, NumPy, Matplotlib, Seaborn) – For data manipulation, analysis, and visualization.\n\n✅ A/B testing to compare different versions of a feature or treatment and analyze the impact on user behavior or \nperformance.\n\n### Project Components\n\n1. Data Collection - Collect data from multiple sources such as CSV files, databases, and APIs.\n\n2. Data Cleaning and Preprocessing - Handle missing values, remove duplicates, and structure data for analysis.\n\n3. Exploratory Data Analysis (EDA) - Use statistical summaries and visualizations to understand data patterns.\n\n4. Data Visualization - Create charts, graphs, and dashboards to present key insights.\n\n5. Insights \u0026 Decision Making - Interpret results and provide data-driven recommendations.\n\n### How to run:\n\n1. Clone the repository:\n\n `git clone https://github.com/VitaliiKalyta96/Data-analysis.git`\n\n2. Open any project in folder.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvitaliikalyta96%2Fdata-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvitaliikalyta96%2Fdata-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvitaliikalyta96%2Fdata-analysis/lists"}