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ggplot2: create elegant data visualisations using the grammar of graphics.  (RStudio)

 
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    RStudio ggplot2: create elegant data visualisations using the grammar of graphics.
    Ggplot2: Create Elegant Data Visualisations Using The Grammar Of Graphics., supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+visualisations/ggplot2/pm39833728-274-2-4
    Average 90 stars, based on 1 article reviews
    ggplot2: create elegant data visualisations using the grammar of graphics. - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Preservative Effects of Gracilaria sp. Extract in Maintaining the Quality and Shelf Life of Refrigerated Pangas ( Pangasius hypophthalmus ) Fillets
    Article Snippet: The multivariate analysis and Pearson's correlation were conducted using a ggplot2‐based R (R version 4.3.0, RStudio 2023.03.1 + 446) package named factoextra ( http://www.sthda.com/english/rpkgs/factoextra ), and FactoMineR ( http://factominer.free.fr/index.html ).

    Article Title: Utilizing rat kidney gene co-expression networks to enhance safety assessment biomarker identification and human translation
    Article Snippet: ggplot2 R package , Wickham , https://cran.rstudio.com/.

    Generated:

    Article Title: Antisense oligonucleotide allele-specific targeting of EFEMP1 in a patient-derived model of Doyne honeycomb retinal dystrophy
    Article Snippet: One way ANOVAs were carried out using the base R aov function and post-hoc analyses using the RStudio package rstatix (v0.7.2). .. All graphs presented were generated using the RStudio package using the RStudio package ggplot2 (v3.4.1). ..

    Article Title: Influence of mowing timing on the breeding success of an endangered ground-nesting migratory bird, Whinchat ( Saxicola rubetra )
    Article Snippet: .. Plots were generated using the ggplot2 package ( ) in R. All statistical analyses were conducted using RStudio ( ) and were performed at a significance level of α =248 0.05. ..

    Article Title: Measles RNA detection in wastewater solids
    Article Snippet: We aligned the primer and probe sequences of the Roy et al. assay to 97 measles sequences downloaded from National Center for Biotechnology Information (NCBI) in March 2025 (43 genotype B3 and 54 genotype D8) and to the Edmonstron-Enders and Edmonston-Zagreb vaccine sequences from NCBI Virus using the cloud-based platform Benchling. .. Simple majority, 75% majority, and 90% majority consensus sequences for both the B3 and D8 genotype were generated in R. We used in silico modeling with RStudio Bioconductor (V3.21) and Benchling software to identify modifications in the probe and reverse primer sequences that would make the assay specific to circulating WT measles genotypes B3 and D8 rather than the vaccine sequences. ..

    Article Title: Correlated protein-RNA associations reveal a requirement for HNRNPU in long-range Polycomb recruitment by the lncRNAs Airn , Kcnq1ot1 , and Xist
    Article Snippet: .. All plots were generated using ggplot2 ( ) in RStudio. ..

    In Silico:

    Article Title: Measles RNA detection in wastewater solids
    Article Snippet: We aligned the primer and probe sequences of the Roy et al. assay to 97 measles sequences downloaded from National Center for Biotechnology Information (NCBI) in March 2025 (43 genotype B3 and 54 genotype D8) and to the Edmonstron-Enders and Edmonston-Zagreb vaccine sequences from NCBI Virus using the cloud-based platform Benchling. .. Simple majority, 75% majority, and 90% majority consensus sequences for both the B3 and D8 genotype were generated in R. We used in silico modeling with RStudio Bioconductor (V3.21) and Benchling software to identify modifications in the probe and reverse primer sequences that would make the assay specific to circulating WT measles genotypes B3 and D8 rather than the vaccine sequences. ..

    RNA Sequencing:

    Article Title: Iron-catalyzed oxidative stress compromises cancer promotional effect of BRCA2 haploinsufficiency through mitochondria-targeted ferroptosis
    Article Snippet: Gene set enrichment analysis (GSEA) was performed with GSEA v4.3.2, with the Rat_Ensembl_Gene_ID_Human_Orthologs_MSigDB.v2023.Hs.chip and gene set databases, WikiPathways. .. Visualization was performed using R Studio with ggplot2 [ , ] The original RNA-seq data can be accessed from the DRA (DDBJ Sequence Read Archive) database under the accession code DRR689908-689925, with BioProject Accession PRJDB20254. .. Formaldehyde concentration in the kidneys was measured by DFOR-100 formaldehyde kit (BioAssay Systems, Hayward, CA) according to the manufacturer's instructions.

    Sequencing:

    Article Title: Iron-catalyzed oxidative stress compromises cancer promotional effect of BRCA2 haploinsufficiency through mitochondria-targeted ferroptosis
    Article Snippet: Gene set enrichment analysis (GSEA) was performed with GSEA v4.3.2, with the Rat_Ensembl_Gene_ID_Human_Orthologs_MSigDB.v2023.Hs.chip and gene set databases, WikiPathways. .. Visualization was performed using R Studio with ggplot2 [ , ] The original RNA-seq data can be accessed from the DRA (DDBJ Sequence Read Archive) database under the accession code DRR689908-689925, with BioProject Accession PRJDB20254. .. Formaldehyde concentration in the kidneys was measured by DFOR-100 formaldehyde kit (BioAssay Systems, Hayward, CA) according to the manufacturer's instructions.



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    Overall architecture of the proposed AI-integrated monitoring system. The framework comprises two layers: (i) the Knowledge Plane, which consists of metric collection via Prometheus exporters for observation, embedding AI models for predictive analytics, and integration with Grafana and Alertmanager for visualisation and alert routing; and (ii) the Infrastructure Plane, which consists of network devices that generate data and require monitoring and maintenance. Optimisation denotes actions derived from AI predictions, such as early fault alerts and ticket prioritisation, enabling network engineers to optimise network performance after making changes based on these alerts. Directional arrows indicate data and control flows across the components.

    Journal: Sensors (Basel, Switzerland)

    Article Title: AI and IoT-Driven Monitoring and Visualisation for Optimising MSP Operations in Multi-Tenant Networks: A Modular Approach Using Sensor Data Integration

    doi: 10.3390/s25196248

    Figure Lengend Snippet: Overall architecture of the proposed AI-integrated monitoring system. The framework comprises two layers: (i) the Knowledge Plane, which consists of metric collection via Prometheus exporters for observation, embedding AI models for predictive analytics, and integration with Grafana and Alertmanager for visualisation and alert routing; and (ii) the Infrastructure Plane, which consists of network devices that generate data and require monitoring and maintenance. Optimisation denotes actions derived from AI predictions, such as early fault alerts and ticket prioritisation, enabling network engineers to optimise network performance after making changes based on these alerts. Directional arrows indicate data and control flows across the components.

    Article Snippet: The integration of this data into the data visualisation tool Grafana facilitates department-wise usage aggregation.

    Techniques: Derivative Assay, Control

    Modular architecture of decentralised monitoring platform. Data flow of the monitoring pipeline work as the metric data is collected from exporters and processed through Prometheus instances hosted on Raspberry Pi edge nodes. Aggregated data is forwarded to the Mimir time-series database for long-term storage and AI model training. Trained models are containerised and deployed either centrally or at the edge for inference. Predictions are exposed as Prometheus metrics and visualised in Grafana dashboards. This architecture enables hybrid edge–cloud analytics, real-time alerting, and scalable tenant isolation.

    Journal: Sensors (Basel, Switzerland)

    Article Title: AI and IoT-Driven Monitoring and Visualisation for Optimising MSP Operations in Multi-Tenant Networks: A Modular Approach Using Sensor Data Integration

    doi: 10.3390/s25196248

    Figure Lengend Snippet: Modular architecture of decentralised monitoring platform. Data flow of the monitoring pipeline work as the metric data is collected from exporters and processed through Prometheus instances hosted on Raspberry Pi edge nodes. Aggregated data is forwarded to the Mimir time-series database for long-term storage and AI model training. Trained models are containerised and deployed either centrally or at the edge for inference. Predictions are exposed as Prometheus metrics and visualised in Grafana dashboards. This architecture enables hybrid edge–cloud analytics, real-time alerting, and scalable tenant isolation.

    Article Snippet: The integration of this data into the data visualisation tool Grafana facilitates department-wise usage aggregation.

    Techniques: Isolation

    RT-qPCR validation of RNA-sequencing. Top 6 downregulated (lower expression in blood-exposed samples) and top 6 upregulated (higher expression in blood-exposed samples). All statistical analyses were performed with unpaired t-tests. ns = not significant, ns = not significant, * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001, N = 3, α = 0.05.

    Journal: bioRxiv

    Article Title: Adult organotypic brain slice cultures recapitulate extracellular matrix remodelling in haemorrhagic stroke

    doi: 10.1101/2025.07.15.665021

    Figure Lengend Snippet: RT-qPCR validation of RNA-sequencing. Top 6 downregulated (lower expression in blood-exposed samples) and top 6 upregulated (higher expression in blood-exposed samples). All statistical analyses were performed with unpaired t-tests. ns = not significant, ns = not significant, * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001, N = 3, α = 0.05.

    Article Snippet: All visualisation of RNA- sequencing data was performed using GraphPad Prism 10.3.

    Techniques: Quantitative RT-PCR, Biomarker Discovery, RNA Sequencing, Expressing