{"id":20392124,"url":"https://github.com/caterinatasinato/excel-projects","last_synced_at":"2026-03-09T03:32:35.969Z","repository":{"id":247766443,"uuid":"824078131","full_name":"caterinatasinato/excel-projects","owner":"caterinatasinato","description":"Projects I worked on as Trainee in Data Analytics at ProfessionAI","archived":false,"fork":false,"pushed_at":"2024-11-10T17:42:55.000Z","size":281,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-05T00:18:27.461Z","etag":null,"topics":["excel","statistics"],"latest_commit_sha":null,"homepage":"https://profession.ai/","language":null,"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/caterinatasinato.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":"2024-07-04T10:13:38.000Z","updated_at":"2024-11-10T17:42:59.000Z","dependencies_parsed_at":"2024-11-10T18:24:23.622Z","dependency_job_id":"121bf9a4-2363-46e5-bccd-3e3b069fb030","html_url":"https://github.com/caterinatasinato/excel-projects","commit_stats":null,"previous_names":["caterinatasinato/excel-projects"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/caterinatasinato/excel-projects","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/caterinatasinato%2Fexcel-projects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/caterinatasinato%2Fexcel-projects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/caterinatasinato%2Fexcel-projects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/caterinatasinato%2Fexcel-projects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/caterinatasinato","download_url":"https://codeload.github.com/caterinatasinato/excel-projects/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/caterinatasinato%2Fexcel-projects/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30281504,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-09T02:57:19.223Z","status":"ssl_error","status_checked_at":"2026-03-09T02:56:26.373Z","response_time":61,"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":["excel","statistics"],"created_at":"2024-11-15T03:39:33.194Z","updated_at":"2026-03-09T03:32:30.957Z","avatar_url":"https://github.com/caterinatasinato.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🧩 My Excel Projects\n\nWelcome to my repository of Excel projects! ✨\n\nThis repository showcases various projects and analyses I worked on as a trainee in **Data Analytics** at **ProfessionAI**. Each folder represents a separate project and includes detailed documentation, examples, and insights. Feel free to explore the projects below to see the approaches I used and the results I achieved. 🦋\n\n## Projects Overview\n\n### 1. Customer Complaints Analysis 🗂️\n\nIn this project, I worked with a dataset of user complaints submitted to financial management companies. The main objectives were to:\n\n- **Transform and Clean Data:** Reformat and organize the dataset to meet specific requirements.\n- **Analyze Complaint Data:** Perform calculations to understand complaint trends.\n- **Generate Reports:** Showcase the geographical distribution of complaints and provide statistical insights.\n\n**Key Features:**\n\n- **Data Cleaning and Reformatting:** Transform raw data to meet specific formatting and structuring requirements.\n- **Analysis of Complaint Trends and Responses:**  Perform calculations to uncover trends and evaluate responses.\n- **Geographical Insights and Statistical Evaluations:** Generate reports on the geographical distribution of complaints and perform statistical evaluations of the data.\n\n**Folder Contents:**\n\n- 📊 **Excel Spreadsheet:** Detailed analysis of customer complaints.\n- 📄 **Documentation:** Methods and methodologies used for the analysis.\n\n---\n\n### 2. Trade of Financial Operations 💹\n\nIn this project, I analyzed financial trading data to explore trading operations and perform various financial analyses. The main objectives were to:\n\n- **Format and Analyze Trading Data:** Perform calculations, and analyze trading performance.\n- **Summarize Trade Activities:** Evaluate trade metrics and calculate tax obligations for different stock exchanges.\n- **Calculate and Visualize Profit Insights:** Provide detailed analyses of trade profits and durations.\n- **Distribute Trade Data:** Analyze the distribution of trades across regions and calculate specific probabilities.\n\n**Key Features:**\n\n- **Date Formatting and Profit Calculation:** Reformat dates and calculate profits for each trade.\n- **Pivot Table Creation for Trade Activities and Tax Calculations:** Summarize trade activities and determine tax obligations for various stock exchanges.\n- **Bar Chart Visualizations and Trade Duration Analysis:** Create charts to visualize trade durations and analyze the results.\n- **Distribution Analysis and Probability Calculations:** Analyze the distribution of trades across regions and calculate relevant probabilities.\n\n**Folder Contents:**\n\n- 📊 **Excel Spreadsheet:** Detailed analysis of financial trading operations.\n- 📄 **Documentation:** Tasks performed, insights gained, and explanations of calculations and visualizations.\n\n---\n\n### 3. Data Generation and Analysis for the Luggnagg Population 📊\n\nThis project involves creating a dataset, performing data manipulations, and conducting statistical analyses using Excel. The goal was to consolidate concepts from inferential statistics by generating and analyzing data for a fictional population.\n\n**Key Features:**\n\n- **Data Generation:** Simulate ages of 250 individuals using normal distribution parameters.\n- **Sample Analysis:** Extract and analyze a sample to perform statistical calculations and estimations.\n- **Correlation Analysis:** Explore relationships between age, number of cats, and partner's age.\n- **Linear Regression:** Perform a regression analysis to study the relationship between age and rank.\n\n**Folder Contents:**\n\n- 📊 **Excel Spreadsheet:** Contains datasets, calculations, and analyses.\n- 📄 **Documentation:** Detailed explanations of tasks performed, methodologies used, and analysis results.\n- 📈 **Charts and Graphs:** Visualizations for statistical insights, correlation analysis, and linear regression.\n\n**Excel Workbook Structure:**\n\n| Sheet Name               | Description                                                                 | Tasks and Contents                                                                 |\n|--------------------------|-----------------------------------------------------------------------------|-----------------------------------------------------------------------------------|\n| **Parameters**           | Contains parameters for age data generation.                               | Set up values for probability, mean, and standard deviation.                      |\n| **Data**                 | The generated age data and group assignments.                              | View age data and group numbers for 250 individuals.                             |\n| **Sample**               | Includes age data, group assignments, and a filtered sample for analysis.  | Analyze a subset of data based on a selected group.                               |\n| **Statistical Insight** | Provides statistical calculations and insights based on the sample data.    | Perform statistical calculations and explain results.                             |\n| **Uncorrelated Variables** | Explores correlation between age, number of cats, and partner's age.     | Perform and explain correlation analysis for different variables.                |\n| **Linear Regression**   | Contains linear regression analysis between age and rank.                   | Analyze the relationship between age and rank with scatterplots and regression results. |\n\n**Instructions for Using the Excel Workbook:**\n\n1. **Review the Parameters:** Check the `Parameters` sheet for the values used in data generation.\n2. **Explore the Data:** View the `Data` sheet for age data and group assignments.\n3. **Analyze the Sample:** Use the `Sample` sheet to review the subset of data and analyze the selected group.\n4. **Perform Statistical Analysis:** Review the `Statistical Insight` sheet for statistical calculations and interpretations.\n5. **Examine Correlations:** Check the `Uncorrelated Variables` sheet for correlation analysis and explanations.\n6. **Review the Linear Regression:** Use the `Linear Regression` sheet for regression analysis and visualizations.\n\n**Results and Analysis:**\n\n- **Statistical Insights:** Provides a summary of sample data statistics, including standard deviation, mean, and confidence intervals.\n- **Correlation Analysis:** Demonstrates relationships between variables and compares actual vs. desired correlations.\n- **Linear Regression:** Contains a scatterplot and regression analysis for the relationship between age and rank.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcaterinatasinato%2Fexcel-projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcaterinatasinato%2Fexcel-projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcaterinatasinato%2Fexcel-projects/lists"}