Data2gRaph
The data2gRaph project is a web-based data visualization tool that can also be used off-line.
Install / Use
/learn @muhendis/Data2gRaphREADME
data2gRaph
<img align="right" width="230" height="230" src="https://github.com/muhendis/data2gRaph/blob/master/www/logo.png"> Visualization is of great importance for data science and machine learning. Because it allows you to become aware of unnoticed details.
The data2gRaph project is a web-based data visualization tool that can also be used off-line. It consists of 3 parts:
> The first section visualizes statistical information.
> The second section visualizes using machine learning information.
> The third section visualizes create a mix plot using different plots.
click to screenshots
Content of the the application
About
Input Data
Statistical Plots
Measures of Central Tendency
Measures of Dispersion
Covariance Matrix
Correlation Analyses
Unsupervised ML Plots
Principal Component Analysis
K-means Clustering
Hierarchical Clustering
Mix Plots
Scatter+Rug+Hist
Density+Densigram
Hexagonal+Boxplot
Complex Heatmap
Installation steps
-
Download this pogram where you want to run it, click to download
-
Run the file named Packages_to_be_installed.R once for the required packages.
../data2gRaph/Packages_to_be_installed.R
Running step
Run the file named app.R.
../data2gRaph/app.R
Information about R, OS and attached or installed packages
> sessionInfo()
R version 3.6.1 (2019-07-05)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.3 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/openblas/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/libopenblasp-r0.2.20.so
locale:
[1] LC_CTYPE=tr_TR.UTF-8 LC_NUMERIC=C LC_TIME=tr_TR.UTF-8 LC_COLLATE=tr_TR.UTF-8 LC_MONETARY=tr_TR.UTF-8
[6] LC_MESSAGES=tr_TR.UTF-8 LC_PAPER=tr_TR.UTF-8 LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=tr_TR.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] grid stats graphics grDevices utils datasets methods base
other attached packages:
[1] hexbin_1.28.0 ComplexHeatmap_2.2.0 ggExtra_0.9 ggpubr_0.2.4 magrittr_1.5 ggfortify_0.4.8
[7] viridis_0.5.1 viridisLite_0.3.0 reshape2_1.4.3 ggthemes_4.2.0 ggplot2_3.2.1 RColorBrewer_1.1-2
[13] corrplot_0.84 shinycssloaders_0.2.0 DT_0.10 shinydashboard_0.7.1 shiny_1.4.0
loaded via a namespace (and not attached):
[1] shape_1.4.4 circlize_0.4.8 GetoptLong_0.1.7 tidyselect_0.2.5 purrr_0.3.3 lattice_0.20-38
[7] colorspace_1.4-1 vctrs_0.2.0 miniUI_0.1.1.1 htmltools_0.4.0 rlang_0.4.1 later_1.0.0
[13] pillar_1.4.2 glue_1.3.1 withr_2.1.2 lifecycle_0.1.0 plyr_1.8.4 stringr_1.4.0
[19] munsell_0.5.0 ggsignif_0.6.0 gtable_0.3.0 htmlwidgets_1.5.1 GlobalOptions_0.1.1 fastmap_1.0.1
[25] httpuv_1.5.2 parallel_3.6.1 Rcpp_1.0.3 xtable_1.8-4 promises_1.1.0 scales_1.1.0
[31] backports_1.1.5 mime_0.7 gridExtra_2.3 rjson_0.2.20 png_0.1-7 digest_0.6.23
[37] stringi_1.4.3 dplyr_0.8.3 clue_0.3-57 tools_3.6.1 lazyeval_0.2.2 tibble_2.1.3
[43] cluster_2.1.0 crayon_1.3.4 tidyr_1.0.0 pkgconfig_2.0.3 zeallot_0.1.0 assertthat_0.2.1
[49] rstudioapi_0.10 R6_2.4.1 compiler_3.6.1
Several screenshots of the application
<p align="center"> <img width="1900" height="500" src="https://github.com/muhendis/data2gRaph/blob/master/Example%20graph/about.png"> </p> <p align="center"> <img width="1900" height="500" src="https://github.com/muhendis/data2gRaph/blob/master/Example%20graph/input.png"> </p> <p align="center"> <img width="1900" height="500" src="https://github.com/muhendis/data2gRaph/blob/master/Example%20graph/CH.png"> </p>Related Skills
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