git clone https://github.com/donbowen/portfolio-frontier-streamlit-dashboard.git # move the terminal to the new folder (adjust next line if necessary) cd portfolio-frontier-streamlit-dashboard # this deletes the .git subfolder, so you can make this your own repo # MAKE SURE THE cd IS ...
import plotly.express as px import pandas as pd # Title of the app st.title("Streamlit Dashboard with Plotly") # Sample data data = { "Category": ["A", "B", "C", "D"], "Values": [10, 20, 15, 25] } df = pd.DataFrame(data) # Create a bar chart fig = px.bar(df, ...
The YAML is a component of all R Markdown documents that specifies how code and content are processed, displayed, and formatted as output [15]. The output format field value is flexdashboard::flex_dashboard. The rendered document can be customized with additional YAML options and sub-options...
Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it…
Plotly Reports Bug Status Bug Severity Non-Defaults | Product Dashboard Help Page Help! Bug Writing Guidelines What's new Browser Support Policy 5.0.4.rh77 Release notes FAQ Guides index User guide Web Services Contact LegalBug 1891785 ...
The map above (in the Displayr report) is an HTMLwidget created using the plotly R package. It draws data from a table called Region, which would also be shown in the report. (The same R code in the Displayr example can be used in an R object within Q). So when exported into Po...
Ease-of-use: Become immediately productive with data without the need to master complex software. Query editor: Quickly compose SQL and NoSQL queries with a schema browser and auto-complete. Visualization and dashboards: Create beautiful visualizations with drag and drop, and combine them into a...
DashTools is an open-source command line toolchain for Plotly Dash that makes creating and deploying dash projects to Heroku intuitive and easy.Use dashtools to...Create templated dash apps with one command Deploy your app to Heroku and Render.com in under a minute Generate Procfile, ...
With VlnPlot and a Seurat object Stacked violin plot functionality using the VlnPlot function is added to Seurat in version 3.2.1. library(Seurat) library(ggplot2) library(cowplot) # Load Seurat obj pbmc <- readRDS("data/pbmc_2k_v3_Seurat.rds") features <- c("CD79A", "MS4A1", "CD8A...
Working with DataFrames and GraphsYou can use Gradio to support inputs and outputs from your typical data libraries, such as numpy arrays, pandas dataframes, and plotly graphs. Take a look at the demo below (ignore the complicated data manipulation in the function!)...