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Design and Implementation of a Design-of-Experiments Log and Analysis Portal
This project designs and implements design and Implementation of a Design-of-Experiments Log and Analysis Portal for process improvement teams. The system was developed using Node.js, Express, MongoDB, HTML/CSS, JavaScript. It provides modules for run sheets, factor settings, response data and analysis outputs. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Disease Surveillance Case Count Reporting System
This project designs and implements development of a Disease Surveillance Case Count Reporting System for epidemiology units. The system was developed using PHP, MySQL, HTML/CSS, JavaScript. It provides modules for case definitions, daily counts, thresholds and alerting. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Survey Non-Response Analysis Tool
This project designs and implements design and Implementation of a Survey Non-Response Analysis Tool for public opinion units. The system was developed using Python, Django, SQLite, Bootstrap, React. It provides modules for response rates, bias exploration and follow-up planning. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Data Quality Profiling and Cleaning Dashboard
This project designs and implements development of a Data Quality Profiling and Cleaning Dashboard for data management teams. The system was developed using Node.js, Express, MongoDB, EJS, JavaScript. It provides modules for missing values, outlier flags and duplicate detection. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Cluster Sampling Selection Simulator
This project designs and implements design and Implementation of a Cluster Sampling Selection Simulator for field supervisors. The system was developed using Python, Django, SQLite, Chart.js, Bootstrap. It provides modules for cluster maps, selection steps and replicate design. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Demographic Rate and Ratio Computation Portal
This project designs and implements development of a Demographic Rate and Ratio Computation Portal for population units. The system was developed using Python, Django, SQLite, Bootstrap, JavaScript. It provides modules for crude rates, dependency ratios and projection inputs. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Probability Distribution Explorer
This project designs and implements design and Implementation of a Probability Distribution Explorer for teaching laboratories. The system was developed using Node.js, Express, MongoDB, HTML/CSS, JavaScript. It provides modules for distribution parameters, density plots, quantiles and random samples. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of an Index Number Compilation and Chaining Tool
This project designs and implements development of an Index Number Compilation and Chaining Tool for price measurement units. The system was developed using PHP, MySQL, HTML/CSS, JavaScript. It provides modules for index formulas, chaining methods and rebasing utilities. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Weighting and Adjustment Factor Calculator
This project designs and implements design and Implementation of a Weighting and Adjustment Factor Calculator for survey statisticians. The system was developed using Python, Django, SQLite, Bootstrap, React. It provides modules for design weights, non-response adjustments and calibrated factors. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Correlation and Regression Analysis Reporting System
This project designs and implements development of a Correlation and Regression Analysis Reporting System for analytics consultancies. The system was developed using Node.js, Express, MongoDB, EJS, JavaScript. It provides modules for correlation matrices, regression outputs and report generation. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Statistical Computation Workspace Portal
This project designs and implements design and Implementation of a Statistical Computation Workspace Portal for statistics laboratories. The system was developed using Python, Django, SQLite, Chart.js, Bootstrap. It provides modules for data uploads, transformation steps, output tables and audit trails. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Headline Inflation and Sub-Index Tracker
This project designs and implements development of a Headline Inflation and Sub-Index Tracker for national statistics offices. The system was developed using Python, Django, SQLite, Bootstrap, JavaScript. It provides modules for item baskets, sub-index calculations and headline computations. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Control Chart and Capability Analysis Tool
This project designs and implements design and Implementation of a Control Chart and Capability Analysis Tool for quality units. The system was developed using Node.js, Express, MongoDB, HTML/CSS, JavaScript. It provides modules for control chart inputs, capability indices and alarm rules. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Rolling Mean and Forecast Backtesting System
This project designs and implements development of a Rolling Mean and Forecast Backtesting System for demand planners. The system was developed using PHP, MySQL, HTML/CSS, JavaScript. It provides modules for rolling windows, forecast errors and adjustment logs. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Vital Events Registration Trend Monitor
This project designs and implements design and Implementation of a Vital Events Registration Trend Monitor for vital statistics offices. The system was developed using Python, Django, SQLite, Bootstrap, React. It provides modules for birth and death registration, trend indicators and coverage estimates. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of an Experimental Design and Randomisation Toolkit
This project designs and implements development of an Experimental Design and Randomisation Toolkit for agricultural research stations. The system was developed using Node.js, Express, MongoDB, EJS, JavaScript. It provides modules for design selection, randomisation sequences, replication maps and analysis links. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Survey Data Collection and Real-Time Aggregation Tool
This project designs and implements design and Implementation of a Survey Data Collection and Real-Time Aggregation Tool for field teams. The system was developed using Python, Django, SQLite, Chart.js, Bootstrap. It provides modules for electronic forms, GPS tagging, real-time tables and completeness checks. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Sample Size and Power Calculator Portal
This project designs and implements development of a Sample Size and Power Calculator Portal for research institutes. The system was developed using Python, Django, SQLite, Bootstrap, JavaScript. It provides modules for margin-of-error inputs, power curves and recommended sample sizes. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Survey Questionnaire Coding and Validation System
This project designs and implements design and Implementation of a Survey Questionnaire Coding and Validation System for survey agencies. The system was developed using Node.js, Express, MongoDB, HTML/CSS, JavaScript. It provides modules for question banks, coding schemes, validation rules and respondent logs. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Time Series Decomposition and Forecasting Dashboard
This project designs and implements development of a Time Series Decomposition and Forecasting Dashboard for economic planning units. The system was developed using PHP, MySQL, HTML/CSS, JavaScript. It provides modules for trend-seasonal decomposition, forecasts and confidence bands. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Web-Based Data Quality Assessment Tool
This study developed a web-based data quality assessment tool that profiles uploaded datasets and reports completeness, uniqueness, consistency, and validity issues. The tool generates quality scores and highlights records requiring correction. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using JavaScript, Node.js, Express, and MongoDB. The findings showed that the tool reduced time spent cleaning datasets and improved confidence in downstream analysis, while achieving a high System Usability Scale score. The study recommends embedding the tool in data collection pipelines for continuous quality checks.
2025 — Undergraduate
Development of a Research Data Management and Repository System
This study developed a research data management and repository system that allows departments to store, catalogue, and retrieve datasets with metadata and version control. The system supports controlled access, search, and dataset citations. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, Django, PostgreSQL, and Docker. The findings showed that the system improved data organisation and retrieval while reducing data loss, while achieving a high System Usability Scale score. The study recommends integrating the repository with institutional research portals.
2025 — Undergraduate
Development of a National Statistics Indicators Dashboard
This study developed a national statistics indicators dashboard that visualises official indicators across sectors such as education, health, and the economy. The dashboard allows users to compare disaggregations over time and export indicator summaries for reporting. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using JavaScript, React, D3.js, and PostgreSQL. The findings showed that the dashboard improved accessibility and comprehension of official statistics for planners and the public, while achieving a high System Usability Scale score. The study recommends alignment with Sustainable Development Goal indicator frameworks.
2025 — Undergraduate
Design of a Factorial Experiment Design and Analysis Tool
This study designed a factorial experiment design and analysis tool that helps students and field researchers plan experiments and analyse results using ANOVA. The tool generates randomised layouts for common designs and computes main effects and interactions. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, Flask, Statsmodels, and SQLite. The findings showed that the tool reduced design errors and supported correct interpretation of interaction effects, while achieving a high System Usability Scale score. The study recommends adoption in experimental design courses and agricultural research.
2025 — Undergraduate
Development of a Web-Based Sales Forecasting Application for Retailers
This study developed a web-based sales forecasting application that helps retailers project demand using historical sales data and seasonal patterns. The application applies moving averages and exponential smoothing and displays forecasts alongside confidence bands. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using JavaScript, Node.js, Express, and MySQL. The findings showed that the application improved stock planning and reduced stock-outs and overstocking for participating retailers, while achieving a high System Usability Scale score. The study recommends integrating the application with point-of-sale systems.
2025 — Undergraduate
Development of a Web-Based Poverty and Welfare Indicators Reporting System
This study developed a web-based poverty and welfare indicators reporting system that enables enumerators and analysts to record household data and compute standard welfare indicators. The system produces district-level summaries, poverty headcount rates, and comparison tables. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, Flask, Pandas, and MySQL. The findings showed that the system reduced reporting delays and improved consistency of welfare estimates, while achieving a high System Usability Scale score. The study recommends use by development agencies and statistical offices.
2025 — Undergraduate
Development of a Clinical Data Analysis System for Biostatistics
This study developed a clinical data analysis system that supports the management and statistical analysis of health research data, including cohort and trial summaries, survival measures, and group comparisons. The system enforces data entry standards and generates audit-ready tabulations. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, Django, Pandas, and SciPy. The findings showed that the system improved reproducibility and reduced analysis turnaround time for health researchers, while achieving a high System Usability Scale score. The study recommends deployment in college research units.
2025 — Undergraduate
Development of a Time Series Forecasting System for Economic Data
This study developed a time series forecasting system for analysing economic indicators such as prices, production, and trade. The system supports trend decomposition, moving averages, and ARIMA modelling with forecast visualisation and accuracy metrics. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, FastAPI, Statsmodels, and React. The findings showed that the system produced reliable short-term forecasts and reduced the complexity of ARIMA modelling for analysts, while achieving a high System Usability Scale score. The study recommends use in policy and research units for evidence-based planning.
2025 — Undergraduate
Development of a Financial Data Analysis and Forecasting System
This study developed a financial data analysis and forecasting system that enables small businesses to analyse revenues, expenses, and margins and generate basic forecasts using trend and moving-average methods. The system presents performance indicators and visual trends on a dashboard. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, FastAPI, Pandas, and React. The findings showed that the system improved timely decision-making and budgeting accuracy for participating businesses, while achieving a high System Usability Scale score. The study recommends adoption by SMEs and micro-finance institutions.
2025 — Undergraduate
Design and Implementation of an Online Survey and Data Collection System
This study designed and implemented an online survey and data collection system that lets researchers create questionnaires, manage respondents, and export cleaned datasets. The system supports skip logic, response validation, and real-time monitoring of collection progress. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, Flask, React, and PostgreSQL. The findings showed that the system accelerated data collection and improved data quality compared with paper questionnaires, while achieving a high System Usability Scale score. The study recommends piloting the system for institution-wide research surveys.
2025 — Undergraduate
Development of a Web-Based Statistical Process Control Tool for Production
This study developed a web-based statistical process control tool that helps production units monitor quality using control charts and capability analysis. The tool computes X-bar, R, and p charts from uploaded samples and flags out-of-control points. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, Flask, Matplotlib, and SQLite. The findings showed that the tool reduced defect detection time and supported preventive quality management, while achieving a high System Usability Scale score. The study recommends deployment in manufacturing and agro-processing industries.
2025 — Undergraduate
Development of a Web-Based Vital Statistics Reporting System
This study developed a web-based vital statistics reporting system that enables health and registry officers to record births and deaths and generate periodic statistical reports. The system enforces validation rules, reduces duplicate records, and produces disaggregated summaries by location and age. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Node.js, Express, React, and MySQL. The findings showed that the system improved completeness and timeliness of vital records, while achieving a high System Usability Scale score. The study recommends linking the system to civil registration authorities for national reporting.
2025 — Undergraduate
Development of a Questionnaire Design and Response Analysis Tool
This study developed a questionnaire design and response analysis tool that supports scale construction, response coding, and automated frequency and reliability analysis. Researchers can design Likert and multiple-choice instruments and obtain descriptive outputs and Cronbach's alpha. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using JavaScript, Node.js, Express, and MongoDB. The findings showed that the tool streamlined instrument design and preliminary analysis, while achieving a high System Usability Scale score. The study recommends extending the tool with factor analysis capabilities.
2025 — Undergraduate
Development of an Online Correlation and Hypothesis Testing Tool
This study developed an online correlation and hypothesis testing tool that guides researchers through the selection of appropriate tests and the interpretation of results. The tool computes Pearson and Spearman correlation, t-tests, and chi-square tests from uploaded data and presents conclusions in plain language. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using JavaScript, Node.js, Express, and MongoDB. The findings showed that the tool reduced methodological errors in hypothesis testing and supported independent student research, while achieving a high System Usability Scale score. The study recommends integrating the tool with academic supervision workflows.
2025 — Undergraduate
Development of an Online Regression Analysis Application for Students
This study developed an online regression analysis application that enables students to fit simple and multiple linear regressions, examine residuals, and interpret correlation coefficients through guided outputs. The application accepts spreadsheet uploads and returns coefficient tables, diagnostics, and plots. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, FastAPI, Scikit-learn, and React. The findings showed that the application improved learning outcomes and reduced calculation errors in regression coursework, while achieving a high System Usability Scale score. The study recommends deploying the application across statistics programmes.
2025 — Undergraduate
Development of a Population Data Management and Analysis System
This study developed a population data management and analysis system for local communities to record, store, and analyse demographic data. The system captures births, deaths, migration, and age structures, and generates population pyramids and summary indicators. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, Django, Pandas, and SQLite. The findings showed that the system improved data accuracy and retrieval speed compared with paper registers, while achieving a high System Usability Scale score. The study recommends deployment in local government areas to support planning and resource allocation.
2025 — Undergraduate
Design of a Probability Distribution Simulator and Learning Platform
This study designed an interactive probability distribution simulator and learning platform for statistics students. Users can select distributions, adjust parameters, and observe probability mass and cumulative functions with simulated random samples. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using JavaScript, Chart.js, Node.js, and MongoDB. The findings showed that the platform improved students' conceptual understanding of distributions and supported active learning, while achieving a high System Usability Scale score. The study recommends adoption as a supplementary learning tool in probability and statistics courses.
2025 — Undergraduate
Development of a Random Sampling and Sample Size Calculator System
This study developed a web-based random sampling and sample size calculator system to support researchers in planning statistically sound surveys. The system computes sample sizes using population and margin-of-error inputs, applies correction factors, and generates random sample selections from uploaded population lists. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, Flask, NumPy, and SQLite. The findings showed that the system reduced sampling errors and saved time in survey planning, while achieving a high System Usability Scale score. The study recommends integrating the tool with data collection platforms for end-to-end survey workflows.
2025 — Undergraduate
Development of an Interactive Data Visualization Dashboard for Survey Data
This study developed an interactive data visualization dashboard for exploring survey data collected within Nigerian institutions. The platform enables users to upload survey responses, filter by demographics, and view bar charts, pie charts, and heatmaps dynamically. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using JavaScript, D3.js, Node.js, and MongoDB. The findings showed that the dashboard improved data comprehension and supported faster insight generation compared with static reports, while achieving a high System Usability Scale score. The study recommends scaling the dashboard for larger datasets and organisational use.
2025 — Undergraduate
Development of a Web-Based Statistical Analysis System for Research Data
This study developed a web-based statistical analysis system to help students and researchers run descriptive and inferential analyses without proprietary software. The system allows users to upload datasets, select variables, and generate descriptive statistics, t-tests, ANOVA, correlation, and regression outputs with interpretable summaries. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, Flask, Pandas, and React. The findings showed that the system reduced analysis time and improved accuracy compared with manual spreadsheet methods, while achieving a high System Usability Scale score. The study recommends institutional deployment and training for researchers.
2025 — Undergraduate