advanced analytics visualizations
26 TopicsMeasure the relevance of i item
Hello there again, I need to find out how to calculate the relevance of an item compared to the general value. i have here the dashboard for you to download (ControleDaProducaoMaisLeve&BALSend.pbix) and see. What i need is the item in the visual table to be tested to see its relevance compared to the others, the logic is: if i remove this item, or not consider it, or filter all but leave it out, will the amount of "CountAvailable01" still be the same or it will decrease compared to the value on the card "Ped. Com Potencial"? if it decrease, the item is somehow relevant, if it does not do any difference its no important, a whay to measure the amout is the formula (1-"Ped. Com Potencial"/"CountAvailable01"); with that i will have a percentage of how important that item is to the general situation.. It might feel a little confuse, hope you guys can help me, i've allready tried a lot and used all AI i could to help me. Thankyou a lot879Views0likes5CommentsR multiple visual in one: Regression Table and Boxplot
In this pbix File, we construct an analysis of Theory of change and create a R visual that gather a regression analysis and a Boxplot visual. Theory of change is a theoritical relation between indicators: Gestion -> Output -> Outcome -> Impact How we do -> What we do -> Why we do -> General Objective44KViews0likes2CommentsDecision Trees
Description With decision trees, you can visualize the probability of something you want to estimate, based on decision criteria from the historic data. The decision tree classifier automatically finds the important decision criteria to consider. Prerequisites (The sample .pbix files will not work without these prerequites completed) 1. Install R Engine Power BI Desktop does not include, deploy or install the R engine. To run R scripts in Power BI Desktop, you must separately installR on your local computer. You can download and install R for free from many locations, including the Revolution Open download page, and the CRAN Repository. 2. Install the required R packages. Download the R script attached to this message and run it to install all required packages on your local machine. Required R packages: rpart, rpart.plot, RColorBrewer Tested on: CRAN 3.3.1 R, MRO 3.3.0, , powerbi.com Legal Disclaimers: Terms of Service and Third Party Programs.118KViews16likes15CommentsComet Chart
Hello: I tried following along with the following tutorial https://community.powerbi.com/t5/Data-Stories-Gallery/2022-Week-35-Power-BI-Make-a-Comet-Chart/m-p/2738859#M8235 Unfortunately, I was not able to recreate a simple comet chart for a small dataset (4000 in 2010, 6500 in 2012). Just two datapoints I wanted to convert into a comet chart for some visual relief on an infographic. I was not able to locate the json script that the instructor copied and pasted into Deben. Any guidance would be much appreciated. Thanks in advance.SolvedDAX Measure that accounts for previous dates data and not future dates data based on current date
Hello everyone, I am working on a financial report that is connected to an excel document full of referenced data. In Power BI desktop, I am hoping to display the average COGS per day (Cost of Goods Sold) in the form of a PBIX card on a Year to Date scale. Chronologically speaking, the data is organized by week (Mon-Sun). I have references set up in excel to capture future data as it occurs for this year. Below is an example mockup to better visualize my data/request: The issue I am having here is that the average COGS/day is taking into account future weeks where the data is evidently zero. For instance, today's date is 7/21, so all future weeks (weeks of 7/25, 8/1, etc.) are being included in this average and are therefore skewing this metric. I am hoping to write a measure that only accounts for weeks prior to the current date. Any help/tips on my ask would be very appreciated! Thank you in advance.Solved1.3KViews0likes6CommentsMatrix Bubble Chart
What A powerful Power BI R visual, matrix bubble chart, to analyze three measures (facts) with two selected dimensions. How One needs to have R installed on the computer or to the server / enabled in the cloud environment. Here is a guide to get started: https://docs.microsoft.com/en-us/power-bi/create-reports/desktop-r-visuals Here is a link to some details: https://docs.microsoft.com/en-us/power-bi/visuals/service-r-visuals Analysis example The edge color of a bubble tells about the margin % of a product. The fill color of a bubble tells about the % of opportunities won (hitrate) of a product. The bubble size illustrates the number of the opportunities. In the X-axis is the product dimension. In the Y-axis is the free feature bundle given together with the product dimension. This could be an example from the car industry. The question could be what bundles we want to offer with what products and how should we price the product & bundle combinations. See my blog post for an example use case: https://www.plainlyresults.com/blog/power-bi-r-matrix-bubble-chart-sales-opportunity-analysis/ CODE Add in your Power BI R visual the code below the "Paste or type your script code here:" text. #change lib path to were you have ggplot2 and scales installed library(ggplot2, lib="D:/Program Files/R/R-3.6.3/library") require(ggplot2) library(scales, lib="D:/Program Files/R/R-3.6.3/library") #change columns Product, Free_feature_bundle, dataset$... to your columns in the Power BI model selected to the R visual ggplot(dataset, aes(x = Product, y = Free_feature_bundle, label = paste(round(dataset$Opportunity_count, digits=0), round(dataset$Hitrate_perc, digits=2)*100, round(dataset$Margin_perc, digits=2)*100, sep=";"))) + geom_point(shape = 21, aes(size = round(dataset$Opportunity_count, digits=0) , fill = round(dataset$Hitrate_perc, digits=2)*100, color = round(dataset$Margin_perc, digits=2)*100, stroke = 3)) + geom_text(hjust = 1, size = 4) + scale_size(range = c(15,50)) + #scaling of the bubbles theme_bw()+ scale_fill_gradient2("Hitrate % (fill)", low=muted("red"), high=muted("green"), midpoint = mean(dataset$Hitrate_perc*100)) +theme_bw()+ scale_color_gradient2("Margin % (edges)", low=muted("red"), high=muted("green"), midpoint = mean(dataset$Margin_perc*100)) + labs(size = "Number of opportunities (size)")18KViews0likes2Comments- 22KViews2likes0Comments
COMPARTILHAR
Olá, Pessoal, Quero compartilhar meu painel na web mas a conta pede um administrador... E mesmo seguindo toooodos os vídeos do youtube, não consegui compartilhar meu painel... O que preciso é compartilhar apenas a visualização e filtro de forma que não seja necessário login e senha.... Alguém tem um caminho fácil??? ou até incorporar em alguma plataforma que tenha a funcionalidade que preciso12KViews0likes0CommentsTopic and Sentiment Analysis Chart
Author: Sidharth Macherla Documentation + Source Code + Usage guide + Submit bugs + License are available at foyi digital library R Packages needed: library(tm) library(topicmodels) library(vader) library(ggplot2) Tested on: Windows 10, 64 Bit machine with R 3.5.311KViews1like0Comments