{"id":27957533,"url":"https://github.com/priyanshubiswas-tech/data-analysis-with-python","last_synced_at":"2025-05-07T18:13:28.138Z","repository":{"id":289092220,"uuid":"970038059","full_name":"priyanshubiswas-tech/Data-Analysis-With-Python","owner":"priyanshubiswas-tech","description":"This repository showcases Python projects completed for a Data Analysis with Python certification, demonstrating skills in data manipulation, visualization, and statistical analysis using libraries like NumPy, Pandas, Matplotlib, Seaborn, and SciPy.","archived":false,"fork":false,"pushed_at":"2025-04-21T14:33:33.000Z","size":31,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-07T18:13:25.123Z","etag":null,"topics":["data-analysis","demographic-data-analyzer","mean-variance-standard-deviation-calculator","medical-data-visualizer","page-view-time-series-visualizer","python","scipy-stats","sea-level-predictor","seaborn"],"latest_commit_sha":null,"homepage":"https://www.freecodecamp.org/certification/Priyanshubiswas-tech/data-analysis-with-python-v7","language":"Python","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/priyanshubiswas-tech.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,"zenodo":null}},"created_at":"2025-04-21T11:06:35.000Z","updated_at":"2025-04-21T14:44:58.000Z","dependencies_parsed_at":"2025-04-22T02:53:29.666Z","dependency_job_id":null,"html_url":"https://github.com/priyanshubiswas-tech/Data-Analysis-With-Python","commit_stats":null,"previous_names":["priyanshubiswas-tech/data-analysis-with-python"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/priyanshubiswas-tech%2FData-Analysis-With-Python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/priyanshubiswas-tech%2FData-Analysis-With-Python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/priyanshubiswas-tech%2FData-Analysis-With-Python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/priyanshubiswas-tech%2FData-Analysis-With-Python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/priyanshubiswas-tech","download_url":"https://codeload.github.com/priyanshubiswas-tech/Data-Analysis-With-Python/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252931550,"owners_count":21827112,"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":["data-analysis","demographic-data-analyzer","mean-variance-standard-deviation-calculator","medical-data-visualizer","page-view-time-series-visualizer","python","scipy-stats","sea-level-predictor","seaborn"],"created_at":"2025-05-07T18:13:27.529Z","updated_at":"2025-05-07T18:13:28.133Z","avatar_url":"https://github.com/priyanshubiswas-tech.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data Analysis with Python Certification Projects\n\nThis repository contains the Python projects completed as part of a Data Analysis with Python certification.\n\n## Projects:\n\n**1. Mean-Variance-Standard Deviation Calculator**\n   - **Description:** A Python function that uses NumPy to calculate the mean, variance, standard deviation, max, min, and sum of the rows, columns, and flattened elements of a 3x3 matrix.\n   - **Libraries/Functions:**\n     - NumPy (`np`): `np.array`, `reshape`, `mean`, `var`, `std`, `max`, `min`, `sum`, `tolist`.\n\n**2. Demographic Data Analyzer**\n   - **Description:** (Based on provided context, details of this project are not fully clear. It likely involves analyzing demographic data using Pandas.)\n   - **Libraries/Functions:**\n     - Pandas (`pd`): DataFrames, data loading (`read_csv`), data manipulation (filtering, calculations).\n\n**3. Medical Data Visualizer**\n   - **Description:** Visualizes medical examination data using Pandas, Matplotlib, and Seaborn to understand patterns and relationships.\n   - **Libraries/Functions:**\n     - Pandas (`pd`): DataFrames, data loading (`read_csv`), data manipulation.\n     - Matplotlib (`plt`): Creating plots (`figure`, `subplots`, `scatter`, `plot`, `xlabel`, `ylabel`, `title`, `legend`, `savefig`).\n     - Seaborn (`sns`): Statistical data visualization (`catplot`, `heatmap`).\n     - NumPy (`np`): Array operations (e.g., masking for heatmap).\n\n**4. Page View Time Series Visualizer**\n   - **Description:** Visualizes time series data of freeCodeCamp.org forum page views using Pandas, Matplotlib, and Seaborn to understand daily, yearly, and monthly trends.\n   - **Libraries/Functions:**\n     - Pandas (`pd`): Time series data handling (setting index to date, creating year/month columns), data manipulation (`melt`, `value_counts`, `groupby`, `unstack`).\n     - Matplotlib (`plt`): Line charts, bar charts, box plots (`plot`, `bar`, `boxplot`, `xticks`, `tight_layout`).\n     - Seaborn (`sns`): Box plots (`boxplot`).\n\n**5. Sea Level Predictor**\n   - **Description:** Analyzes a dataset of global average sea level change and uses linear regression from SciPy to predict sea level rise through the year 2050.\n   - **Libraries/Functions:**\n     - Pandas (`pd`): Data loading (`read_csv`), data filtering.\n     - Matplotlib (`plt`): Scatter plots, line plots (`scatter`, `plot`, `xlabel`, `ylabel`, `title`, `legend`, `savefig`).\n     - SciPy (`scipy.stats`): Linear regression (`linregress`).\n     - NumPy (`np`): Creating numerical ranges (`arange`).\n\n[Show Certification Credential](https://www.freecodecamp.org/certification/Priyanshubiswas-tech/data-analysis-with-python-v7)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpriyanshubiswas-tech%2Fdata-analysis-with-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpriyanshubiswas-tech%2Fdata-analysis-with-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpriyanshubiswas-tech%2Fdata-analysis-with-python/lists"}