UMAP
UMAP is one of the statistical analyses applied automatically in MerQur. This page provides a representative illustration of how the analysis is applied to a sample dataset from the fields of Agriculture, Forestry, and Aquaculture, how the MerQur output will appear, and how it will be reported in APA 7 format.
🎯 What is it for?
UMAP automatically applies in the background all the assumption checks required for the relevant data type (normality, homogeneity of variance, etc.) and presents the results with a clear table + chart. Automatic interpretation to the APA 7 standard, effect sizes such as Cohen’s d/η²/R², and 95% confidence intervals are reported.
📌 When is it used?
- In the statistical analysis of measurements belonging to the Agriculture, Forestry and Aquaculture field
- To produce APA 7 compliant result tables for academic publication
- In hypothesis testing and decision-making processes
- After selecting an appropriate method in undergraduate / master’s / doctoral theses
📐 Assumptions
- Appropriate scale — Variables must be at the scale level required by the analysis (nominal/ordinal/interval/ratio)
- Independent observations — Observations must come from mutually independent individuals
- Adequate sample — The minimum n requirement for the analysis must be met
- Outlier check — Outliers must be detected and evaluated
If the assumptions are violated, MerQur automatically steers you toward a non-parametric or robust alternative.
🛠 How to do it in MerQur
Load the data. Select the sample file from the File → Open menu. MerQur automatically detects the column types.
Select the analysis. Choose UMAP from the left sidebar.
Panel assignments (form fields in the program):
- feature_cols:
[ornek_id, kanal_1, kanal_2, +23 more] - n_components:
2 - n_neighbors:
15 - min_dist:
0.1
Optional settings. Effect size ✓ · 95% confidence interval ✓ · Assumption checks (automatic).
Press the ▶ Run button. Results are generated automatically as a table + chart.
📄 Export to Word. A report in APA 7 format with italic statistical symbols.
📊 Sample Dataset — Ziraat, Orman ve Su Ürünleri
ℹ Note: The MerQur output and interpretation tables on this page are illustrative and intended to help understand the analysis. The numerical results for your own data may differ; this page does not have to match the YouTube video walkthrough exactly.
🎬 Example File Used in the Video
The YouTube video walkthrough of this page was recorded using the following sample file for the Agriculture, Forestry and Aquaculture field:
MerQur_Hoca_Tanitim/Ziraat_Orman_Su/72_umap_spektral_alt_tip.xlsx
Data Preview (First 5 Rows)
| ornek_id | alt_tip | feat_01 | feat_02 | feat_03 | feat_04 | feat_05 | feat_06 | feat_07 | feat_08 | feat_09 | feat_10 | feat_11 | feat_12 | feat_13 | feat_14 | feat_15 | feat_16 | feat_17 | feat_18 | feat_19 | feat_20 | feat_21 | feat_22 | feat_23 | feat_24 | feat_25 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | S1 | 0.63 | -1.00 | -0.79 | -0.17 | 0.25 | 0.23 | -2.22 | 1.06 | -0.37 | -1.15 | -1.71 | -1.08 | 1.58 | -2.02 | 0.31 | 0.90 | -1.34 | -1.58 | 0.31 | 0.04 | -0.17 | -0.98 | -1.09 | -1.28 | -1.63 |
| 2 | S1 | 0.65 | -0.76 | -0.26 | 3.02 | -1.03 | -0.21 | 1.30 | 0.07 | -0.41 | 0.04 | 0.30 | -1.16 | 1.15 | 0.59 | 1.69 | -0.18 | 0.23 | 1.26 | 1.33 | 1.15 | 0.11 | 0.11 | 0.03 | -1.71 | -1.70 |
| 3 | S1 | 0.26 | 0.79 | 0.37 | 0.30 | -0.75 | 0.57 | -0.97 | -0.03 | -0.36 | 0.09 | 0.71 | 1.89 | -0.31 | 1.03 | 0.39 | 0.22 | -0.21 | 0.40 | -0.53 | 0.73 | -0.01 | -1.06 | -0.76 | -1.42 | -0.78 |
| 4 | S1 | 1.74 | -0.82 | 0.09 | 0.18 | 1.02 | 0.03 | -2.52 | 0.60 | -0.64 | 0.06 | -0.15 | 2.11 | -0.15 | 2.39 | -0.85 | 1.95 | -0.64 | 0.02 | -0.97 | 0.45 | -1.92 | 0.63 | -0.57 | 0.73 | -0.54 |
| 5 | S1 | -1.53 | -0.93 | 0.25 | 1.78 | -0.17 | -0.04 | 0.39 | 0.27 | -1.43 | 0.92 | 0.72 | 1.17 | 0.26 | -0.43 | 0.27 | -0.17 | -1.94 | -0.95 | -1.90 | 0.68 | -0.68 | -1.77 | -1.01 | 0.69 | 1.00 |
n = 200 · Sütunlar: ornek_id, alt_tip, feat_01, feat_02, feat_03, feat_04, feat_05, feat_06, feat_07, feat_08, feat_09, feat_10, feat_11, feat_12, feat_13, feat_14, feat_15, feat_16, feat_17, feat_18, feat_19, feat_20, feat_21, feat_22, feat_23, feat_24, feat_25
MerQur Output (Illustrative)
MerQur Interpretation (Plain Language)
UMAP revealed a statistically significant finding among the relevant variables (p < .001). Detailed results and visuals are generated automatically in MerQur’s output panel.
APA 7 Interpretation (Academic Format · Illustrative)
alt_tip (p < .001). The effect size is at a medium-large level, indicating that the findings carry practical significance. For a detailed report, MerQur’s APA 7 Word output can be used.⚠ Common Mistakes
- Specifying the data type incorrectly (e.g., loading a categorical variable as numeric)
- Skipping the assumption checks and looking directly at the p-value
- Not reporting the effect size — APA 7 requires both p and the effect size
- Not applying a Type I error correction (Bonferroni/Tukey) in multiple comparisons
- Not switching to a non-parametric alternative when n is insufficient
📹 Video Walkthrough
You can watch the video below for an end-to-end application of this analysis on the Agriculture, Forestry and Aquaculture file.
🎓 Educational Sciences · 🧪 Natural Sciences and Mathematics · 🏛 Architecture, Planning and Design · ⚙ Engineering · 🏥 Health Sciences · 📊 Social, Humanities and Administrative Sciences · 🏃 Sport Sciences
📚 If You Used This Analysis, Cite MerQur
If you performed this analysis in a scientific study using MerQur, please use the following citation (APA 7) in accordance with the academic citation requirement:
Örücü, Ö. K. (2026). MerQur: An Integrated Academic Data Analysis and Reporting Platform [Computer Software] (Version 1.0.0). https://doi.org/10.53463/merqur.2026001
For BibTeX, RIS, EndNote and the English equivalent: all citation formats →
- American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.).
- Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage.
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.