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Research Data Analysis for Researchers, Professors, Students and related clients

What we are doing....!
# Technical support for Data Analysis
# Data Interpretation with expert comments
# Full pledge support for Data Interpretation
# Expert error identification
# Support for data arrangement
# Support related to any data analysis
# Online Thesis printing service 
# Thesis alignment service
# We will deliver your thesis to your doorstep

AgriculturAL Sciences Data Analysis

Data Interpretation with expert comments

Data Analysis for all the agriculture departments

Support for data arrangement

Article editing

Article editing with proof reading

printing service

Thesis printing service via online mode

Here are the various data input formats required for the conduct of Statistical Analysis

  1. Attractive output with Tables and Graphs in Excel

  2. Plagiarism check for thesis

  3. Plagiarism check for Research Documents 

  4. Analysis in R software based on demand

  5. Correlation and Path Analysis

  6. Biserial Correlation

  7. Regression

  8. Stepwise Regression

  9. Multiple Regression

  10. Quantile Regression

  11. Regression Clustering

  12. Linear and Non-linear Regression

  13. Multicollinearity Statistics

  14. Distribution fitting

  15. Multidimensional tests

  16. Dixon test for outliers

  17. Grubbs test for outliers

  18. Time series transformation

  19. Attractive 3D, 2D graphs and Charts

  20. Scoring of Gel Pictures

  21. Line x Tester Analysis

  22. Genetic Variability Analysis

  23. Randomized Block Design (RBD)

  24. Principle Component Analysis

  25. Complete Randomized Design (CRD)

  26. Latin Square Design (LSD)

  27. Factorial Design

  28. Balanced Incomplete Block Design (BIBD)

  29. Augmented RBD

  30. Lattice Design

  31. Stability Analysis

  32. Full Diallele Analysis

  33. Partial Diallele Analysis

  34. Half Diallele Analysis

  35. Chi-square Test

  36. Combining Ability

  37. Estimation of Heterosis

  38. Diversity analysis

  39. Tocher’s method of Diversity analysis

  40. Hierarchical clustering

  41. Fuzz clustering

  42. Estimation of Selection Indices

  43. Density Plots

  44. Descriptive Statistics

  45. Multivariate Analysis

  46. Estimation of Stability Models (AMMI)

  47. Double Cross

  48. Triple Cross

  49. One Way ANOVA

  50. T-test F-test and Z-test

  51. Generation Mean Analysis

  52. ANCOVA Analysis

  53. Markers Data Analysis

  54. NCD Design Analysis

  55. QTL Analysis

  56. Neighbour Joining method (Dendrogram)

  57. Heat Maps and Histogram

  58. Error Bar Charts

  59. Factor Analysis

  60. Testing for Outliers

  61. K-means Clustering

  62. Multiple Correspondance Analysis

  63. Sensory Data Analysis

  64. Scored Data of Molecular Markers

  65. Time series visualization

  66. Discriminant Analysis

  67. Fully Nested ANOVA

  68. Balanced ANOVA

  69. Generalized Linear Models

  70. Normality Test

  71. Intergeneration Correlation 

  72. Multivariate Analysis

  73. Log-linear Analysis

  74. Mixed Model Analysis

  75. Three-way Cross Analysis

  76. Skewness and Kurtosis

  77. Cox Regression

  78. Probit Analysis

  79. Factor Dimension Reduction 

  80. Single Marker Analysis

  81. Contingency tables

  82. OMICS Data Analysis

  83. Multiple Factor Analysis

  84. Dose Effect Analysis

  85. Orthonormal Plots 

  86. Redundancy Analysis

  87. Principle Co-ordinate analysis

  88. Life table studies 

  89. Biochemical (Enzyme) Analysis

  90. Population Dynamics

  91. Alpha, Beta and Gamma Diversity Analysis

  92. Host Plant Resistance Studies

  93. Formation of Ethogram 

  94. Migration Studies

  95. Circular Data Analysis

  96. GPS Map location of observation

  97. Insect Phenology Analysis

  98. Analysis of Disease Scoring Data

  99. Analysis of Qualitative Data

  100. Allele Frequency Analysis

  101. Compounded Design

  102. One/Two/Three Factor Analysis

  103. Split Plot Design 

  104. Split-split Plot Design

  105. Dendrogram using molecular markers 

  106. Strip Plot Design

  107. Independent Component Analysis

  108. Multiblock Data Analysis

  109. Quantiles and Percentiles 

  110. Analysis of COP Matrix

  111. ROC Analysis

  112. Frequency Tables

  113. DNA Divergence between populations

  114. DNA MultiDomain Analysis

  115. Gene flow and genetic differentiation

  116. Nucleotide diversity

  117. Minimum Spanning Network

  118. Median Joining Network

  119. TCS Network

  120. Forecasting Models

  121. Quality control Charts

  122. Cochran Q test

  123. Response Surface Design

  124. Pooled RBD Analysis

  125. Gaussian Mixture Models

  126. Correlated Component Regression

  127. Sensory Wheel

  128. Latent Class Clustering

  129. Multivariate ANOVA

  130. Agglomerative hierarchical clustering

  131. Ward's Minimum Variance Clustering

  132. Genetic Parameters Graph

  133. Varimax Rotation

  134. Jaccard Similarity Matrix

  135. GGE Biplot Analysis

  136. Analysis of Molecular Variance (AMOVA) Analysis

  137. Diversity indices

  138. Beta Diversity Analysis

  139. Kruskal Wallis ANOVA

  140. Data Curing

  141. Mood's Median Test

  142. Friedman ANOVA

  143. Predictive Analytics

  144. Poisson Regression

  145. Neutrality Test

  146. Mandel's h and K statistics

  147. Autoregressive Series Analysis

  148. Multidimensional Scaling

  149. Metroglyph Analysis

  150. RBD with unequal Replications

  151. Lorenz Curves

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