Excel Analysis for research that has to hold up under scrutiny.
From raw questionnaire exports to publication-ready tables — our analysts build clean, formula-driven, examiner-proof Excel workbooks for PhD, MBA and MPhil research, exactly the way your guide expects to see them.
Data Cleaning & Descriptive Statistics
We take your raw, messy export and turn it into a clean, coded, analysis-ready workbook.
- De-duplication, coding & missing-value treatment
- Mean, median, mode, SD, variance, skewness
- Frequency & percentage distribution tables
Charts, Pivot Tables & Dashboards
Visuals your reviewers will actually understand at a glance — built to journal or university formatting rules.
- PivotTables & PivotCharts for cross-tabulation
- APA-formatted bar, line, radar & box plots
- One-page interactive dashboards with slicers
Statistical Formula Modelling
Every figure is traceable to a live formula, never a hard-typed number — so your data holds up in a viva.
- Correlation, t-Test, ANOVA (Data Analysis ToolPak)
- Regression modelling with R², p-values & residuals
- VLOOKUP / XLOOKUP / INDEX-MATCH data merges
Large Dataset & Survey Handling
Comfortable with 100 to 100,000+ responses — Likert scales, multi-response, and panel/longitudinal data.
- Google Forms / SurveyMonkey / Qualtrics export cleanup
- Reverse-coding & reliability (Cronbach’s Alpha)
- Power Query for merging multi-sheet datasets
Interpretation & Report Write-up
Numbers alone don’t defend a thesis — we write the plain-English interpretation your chapter needs.
- Result interpretation in APA / MLA narrative style
- Chapter 4 (Findings) drafting support
- Unlimited revisions until your guide is satisfied
One workbook. Every test your committee will ask for.
We don’t just “run numbers” — we build a documented, formula-driven Excel workbook that you can defend line by line during your viva or thesis review.
Descriptive Statistics
Mean, median, mode, standard deviation, variance and frequency tables formatted for direct thesis insertion.
Inferential Testing
t-Test, ANOVA, Chi-Square and correlation analysis using Excel’s Data Analysis ToolPak.
Regression Modelling
Simple & multiple linear regression with R², adjusted R², coefficients and significance reporting.
Pivot Tables & Dashboards
Interactive, slicer-driven dashboards that summarise hundreds of survey responses on one screen.
Chart & Graph Design
Publication-ready bar, line, radar and box-plot charts, styled to journal or university guidelines.
Reliability Testing
Cronbach’s Alpha and scale-reliability checks for Likert-based questionnaires.
Data Cleaning & Coding
Raw survey exports converted into clean, coded, missing-value-treated master sheets.
Financial & Ratio Analysis
Excel-based financial modelling, ratio analysis and forecasting for management & commerce research.
Results Interpretation
Plain-English write-up of every output table, ready to paste into your Findings chapter.
From raw file to defendable data, in four steps.
Share Your Data
Send your raw dataset, questionnaire or Google Forms export over WhatsApp or email.
Scope the Analysis
We confirm which tests your objectives & hypotheses actually require — no unnecessary work.
Build the Workbook
Our analysts clean, code and run every test with live, auditable formulas — not hard-coded numbers.
Review & Handover
You get the workbook, charts and a written interpretation, plus revisions until your guide signs off.
Built entirely inside Excel — no black-box software.
My external examiner asked me to explain every value in my ANOVA table — I could, because every cell was a formula I understood, not a number someone handed me.
Frequently asked questions
Yes — Excel’s built-in Data Analysis ToolPak and Solver add-in support t-Tests, ANOVA, correlation, regression and more. For most PhD, MBA and MPhil chapters, a well-built Excel workbook is fully sufficient and often preferred for its transparency.
Raw .xlsx, .csv, Google Forms/Sheets exports, SurveyMonkey or Qualtrics exports, and even scanned paper questionnaires (we’ll digitise them for you).
Standard turnaround is 3–5 working days depending on dataset size and number of tests. A 24-hour express option is available for urgent submissions.
Every workbook comes with a written, plain-English interpretation of each test so you can explain — and defend — every figure in your viva.
Yes. All datasets are handled under strict confidentiality and are never shared or reused, in line with our standard research-data protocols.
Send your dataset — get a formula-driven, defendable Excel analysis back.
No fixed packages, no guesswork. Tell us your objectives and hypotheses, and we’ll scope exactly what your chapter needs.