Need to show the direction of travel on a map in Power BI
We had a client which needed us to do this very thing
This short guide shows how to do it using the Icon Map
https://www.selectdistinct.co.uk/2023/10/11/direction-of-travel-on-a-map-in-power-bi/
#PowerBI #IconMap #businessintelligence
FME is typically used to exchange data, but it can also be used as a powerful tool to automate the transformation of spatial data into technical CAD diagrams. In this presentation I will show how I embedded FME into an application process to create on-the-fly AutoCAD diagrams for communication manholes. This involves determining the local spatial reference, calculating the extents required, clipping the data, creating labels for the data, filtering the data to set line colors and styles, and then exporting the file using linked workspaces.
This document provides instructions for creating various types of charts, graphs and icons using Adobe Illustrator. It begins with steps for making pie charts and bar charts using Excel data. It then provides directions for tracing images and photographs to create icons, converting typographic icons to vectors, and downloading icons under Creative Commons. The document demonstrates how to color, edit and integrate the visual elements in documents like PDFs and InDesign files.
The document discusses the practical online delivery and functionality of historical Ordnance Survey maps from a commercial perspective. It describes a project to digitize and georeference over 250,000 maps from the Bodleian Library collection and make them available online through a searchable map viewer within 12 months. It outlines the client requirements for accessing, searching, comparing and analyzing the historical map data and proposes an online solution to meet those needs.
Get the Gist: Universal Modelling Language (UML)russellgmorley
UML (Unified Modeling Language) is a general-purpose modeling language used to create abstract models of systems. It grew out of three competing modeling techniques and is now managed by the Object Management Group. UML models can be viewed through different diagrams that represent the functional, structural, and behavioral perspectives of the abstract model. Commonly used UML diagrams include use case diagrams, class diagrams, sequence diagrams, and activity diagrams.
In general, the app bar is a highly used component in many applications. An app bar can be effectively helpful to house the search field, simply the page title or buttons to navigate around pages. It is a commonly used component, and Flutter app development services offer the dedicated widget for the functionality known as AppBar.
This document discusses the computer graphics pipeline. It describes the key stages of the pipeline including modeling, transforms, lighting calculations, viewing transforms, clipping, projection transforms, and rasterization. It also provides details on OpenGL and how it implements aspects of the graphics pipeline such as specifying the camera viewpoint using functions like gluLookAt. Finally, it gives an example of how to implement camera rotation in an OpenGL application to view a 3D scene from different angles.
Deep Learning Meetup 7 - Building a Deep Learning-powered Search EngineKoby Karp
Koby Karp presents on building a deep learning-powered visual search engine for fashion products. He discusses using a convolutional neural network like AlexNet, pre-trained on ImageNet, to encode images into numeric vectors capturing shape, color and texture. These vectors are indexed into a database. New images are encoded and the distance between their vector and database vectors is measured to find and rank similar products. The system was tested on a dataset of 60,000 fashion items, with t-SNE used to visualize image clusters of different categories found by the search engine. In conclusion, Koby discusses collaborating with customers to build prototypes that leverage existing data for innovative applications.
Business users like you often have to create summary reports out of the data you have. Writing formulae, providing information and organizing the totals into a new table take up valuable time!
E.g., Imagine you have created the perfect summary report that compares, say, sales in different rE.g. ions. You may also have to compare sales across different product lines or customers.
To ease your efforts, Excel supports a feature called ‘pivot table’ which helps in summarizing your data. Moreover, you can easily generate multiple summary reports from the same pivot table.
The best part is, Collabion Charts for SharePoint supports basic pivoting features. It lets you create insightful charts based on pivot tables.
How?
Take a peek at the slides below to get to know!
This document discusses Silverlight programming and design. It covers separating graphical design from programming tasks using tools like Expression Blend and Visual Studio. It discusses the Metro design style used in Windows Phone development and how Silverlight supports adhering to this style. It also covers object-oriented programming concepts like classes, properties, and data binding as well as how XAML is used to describe Silverlight user interfaces.
Oracle APEX is a tool for building database-driven web applications using only a web browser. The document discusses the architecture, features, and benefits of APEX. It also provides step-by-step instructions for creating tables, loading sample data, and building an initial application with forms and reports using the APEX development environment.
Create Location Sharing apps using the Ionic framework Shelly Megan
The document discusses how to develop a location-sharing app using the Ionic framework. It outlines the steps to integrate Google Maps and track user locations. Key steps include: 1) Installing dependencies and creating an Ionic project, 2) Designing templates and UI, 3) Adding Google Maps with default coordinates, 4) Tracking marker positions as users drag them, and 5) Saving location details and descriptions to Firebase database. The process allows developers to efficiently create cross-platform location-sharing apps.
The document describes two options for adding point data from a different coordinate system into a Civil 3D drawing:
Option 1 imports the points as a point cloud, which references rather than imports the points to keep file sizes smaller. It transforms both the coordinates and elevations.
Option 2 imports the points directly by first creating a new point file format that defines the source coordinate system. This transforms just the coordinates, not elevations, but adds the points directly to the drawing.
Both options have advantages and disadvantages regarding file size and what data is transformed. The best option depends on the specific data and needs of the project.
How the clothing product life take advantage from MIDIH Open Source architecture implementation. Real-time modelling simulations in order to detect the population coverage for a clothing design.
Creating dynamic and real time charts for printable reports v1.0Sahan Perera
The document discusses creating dynamic charts for printable reports in Salesforce. It presents a 4 step process to add dynamic visual charts to custom reports: 1) import libraries, 2) create a container for the chart, 3) initialize the chart instance, and 4) pass relevant data to visualize. It then describes a high-level solution architecture using Lightning/Visualforce components to store chart images as attachments, generate a PDF with the chart via an intermediate page, and save the PDF as an attachment. The presentation provides code examples and takes the audience through implementing the steps to draw charts on a canvas and convert it to a PDF attachment.
This document provides instructions for creating charts, graphs and icons in Adobe Illustrator. It demonstrates how to make pie charts and bar graphs using Excel data. It shows how to trace images and photographs to create icons, convert typographic icons to vectors, and how to use icons from websites under Creative Commons licenses. The techniques covered include using the chart and pen tools, ungrouping objects, editing colors and styles, and pasting icons into InDesign.
1) The document discusses using various software and technologies like AWS, QLIK, SQL, VBA, and Python to transform and analyze data from different sources.
2) It provides steps to connect an existing SQL database from AWS to QLIK, import Excel data into QLIK using VBA, and connect the database to a Django framework using Python.
3) The document also demonstrates building a simple report in QLIK by dragging and dropping fields, sorting values, and creating a bar chart to visually present well costs data.
Similar to Direction of travel on a map in Power BI.pptx (20)
Euro 2024 Predictions - Quarter Final Results
We got 3 out 4 correct in the quarter finals
See our Semi Final predictions and who we think will be in the final
https://www.selectdistinct.co.uk/2024/07/08/euro-2024-quarter-final-results/
#EURO2024 #Germany2024 #England #EURO2024predictions
Credit to Tournament Predictor for their easy to use site
https://www.tournamentpredictor.com/euro-2024
We predicted the 8 teams to make it past the last 16 of Euro 2024
We got 7 of them correct
What do we think will happen in the quarter finals?
https://www.selectdistinct.co.uk/2024/07/04/euro-2024-last-16-predictions-results/
#EURO2024 #Germany2024 #England #EURO2024predictions
Have a go yourself on this site
https://www.tournamentpredictor.com/euro-2024
Euro 2024 Predictions - Group Stage Results
How did we get on?
We predicted 10 of the 16 teams to progress to the last 16, just one less than we targeted
A fantastic win last night by Georgia against Portugal 2 - 0
See our results for each group and some surprises we didnt expect
https://www.selectdistinct.co.uk/2024/06/27/euro-2024-prediction-results
#EURO2024 #Germany2024 #England #EURO2024predictions
Here are our Euro 2024 predictions for the group stages
Will England make it through the group stages?, Will Germany use the home advantage to full effect?
Follow our progress, see how many we get right
If you want to join in let us know before the first game kick off and we can invite you to our private league
or join in with our friends at DeeperThanBlue
https://www.linkedin.com/posts/activity-7204868572995538944-qejG
https://www.selectdistinct.co.uk/2024/06/13/euro-2024-match-predictions/
#EURO2024 #Germany2024 #England #EURO2024predictions
Year on Year comparison by weekday in power BI
A Step by Step guide to avoid potential errors when using SAMEPERIODLASTYEAR and a simple solution to ensure you compare matching weekdays
https://www.selectdistinct.co.uk/2024/04/16/year-on-year-power-bi/
#PowerBI #SAMEPERIODLASTYEAR #DataViz
Sync Your Slicers in Power BI
A Step by Step guide, to keeping separate slicers in sync across different data sets using slicer groups
https://www.selectdistinct.co.uk/2024/03/12/sync_slicers_in_power_bi/
#PowerBI #Slicers #DataViz
Make your Google Search Console Data more useful with Power BI
Here is a simple step by step guide to taking the daily GSC data, smoothing it into weekly summary data and presenting a nice clean report to show progress without all of the noise that the daily data shows
https://www.selectdistinct.co.uk/2024/03/01/using-google-search-console-data-in-power-bi/
#SEO #DataAnalytics #PowerBI #GSC
Data Lake v Data Warehouse
Do you know the difference?
Data lakes and data warehouses are both storage systems for big data, but they have several key differences.
A data lake is designed to store raw data of all types, including structured, semi-structured, and unstructured data. It’s a great option for companies that benefit from raw data for machine learning.
A data warehouse is designed to be a repository for already structured data to be queried and analysed for very specific purposes. It’s a better fit for companies whose business analysts need to decipher analytics in a structured system.
Understanding these key differences is important for any aspiring data professional
https://www.selectdistinct.co.uk/2024/01/02/difference-between-a-data-lake-and-a-data-warehouse/
#datawarehouse #datalake #dataanalytics
How to create a drop down list in Excel
Use this feature to help get your data input right at source, with built in data validation and in cell drop down
Limit the amount of spelling variations, inconsistencies and errors in Excel
https://www.selectdistinct.co.uk/2024/01/02/dropdown-lists-in-excel/
#Excel #dropdown #datavalidation
Top 5 SQL tips 2023
Presenting our most popular SQL tips for 2023
1. How to calculate running totals in SQL server
2. How to use the LEAD and LAG functions in SQL
3. Group by ROLLUP in SQL
4. Divide by Zero Errors
5. How to split a column in SQL Server
https://www.selectdistinct.co.uk/2023/12/19/top-sql-tips-for-2023/
#SQL #businessanalytics #data #analytics #sqltips
Top 5 Power Bi tips 2023
Presenting our most popular Power BI tips for 2023
1. Show values in Rows
2. Use SAMEPERIODLASTYEAR
3. How to sort dates properly
4. Toggle Measures with SWITCH
5. Advanced TOPN filter
https://www.selectdistinct.co.uk/2023/12/18/top-power-bi-tips-for-2023/
#PowerBI #dataviz #businessanalytics #data #analytics
Music by www.bensound.com
What are CTE's in SQL
WITH Statements?
What the benefits, limitations and Syntax are
https://www.selectdistinct.co.uk/2023/12/05/how-to-use-a-cte/
#SQL #CTE #SQLWITH #DATA
Do you know the difference between calculated columns and measures in Power BI?
In this article, you’ll learn what calculated columns and measures are, how they work, and when to use them.
You’ll also get some tips and best practices for choosing between them.
https://www.selectdistinct.co.uk/2023/11/21/calculated-columns-and-measures-in-power-bi/
#powerBI #measures #calculatedcolumns
Divide by zero errors and how to avoid them
Examples and code samples for SQL, Big Query, Excel, Power BI including DAX and Power Query
https://www.selectdistinct.co.uk/2023/11/01/divide-by-zero-errors/
#dividebyzero #SQL #PowerBI
music by www.bensound.com
How to choose between DAX, Power Query or SQL
to transform data for your Power BI reporting
https://www.selectdistinct.co.uk/2023/10/25/when-to-transform-data/
#powerbi #DAX #PowerQuery
This document provides a guide to creating and using KPI visuals in Power BI. It defines what a KPI is and gives examples of common KPIs like sales, marketing ROI, and customer satisfaction. It then provides a step-by-step guide to creating a KPI visual in Power BI, including adding a date dimension table, measures for current and previous year sales, and setting a target value. Finally, it discusses formatting options for KPI visuals and some limitations to keep in mind.
How to combine data tables in DAX in Power BI using the UNION command
This guide shows you how to create a seamless data set from 2 or more tables to make further analysis and reporting much easier
https://www.selectdistinct.co.uk/2023/10/04/union-in-dax/
#PowerBI #DAX #UNION
Combine data sets with APPEND in Power Query
You can use this simple technique to consolidate data from different sources into a single data set to make analysis easier
This is useful if you can't combine the data at source or if you dont have the facility
https://www.selectdistinct.co.uk/2023/09/27/append-data-in-power-query/
#PowerQuery #Append #PowerBI
Connect Power BI to Google BigQuery
Use the public datasets to develop your skills and demonstrate the power of both platforms for FREE
In this example we use the actual wholesale sales data for the US state of Iowa that is one of the public datasets
https://www.selectdistinct.co.uk/2023/09/07/connect-power-bi-to-google-big-query/
This is a great starting point for anyone wanting to build their skills with data that can be refreshed
#PowerBI #BigQuery #PublicData
Easily add subtotals into your queries with the Group by ROLLUP clause in SQL server
We explain the syntax, the logic, and the benefits of using ROLLUP to create subtotals and grand totals in your queries. With examples you can follow
https://www.selectdistinct.co.uk/2023/08/23/group-by-rollup-in-sql-server
#ROLLUP #SQL #DATAANALYTICS
Towards an Analysis-Ready, Cloud-Optimised service for FAIR fusion dataSamuel Jackson
We present our work to improve data accessibility and performance for data-intensive tasks within the fusion research community. Our primary goal is to develop services that facilitate efficient access for data-intensive applications while ensuring compliance with FAIR principles [1], as well as adoption of interoperable tools, methods and standards.
The major outcome of our work is the successful creation and deployment of a data service for the MAST (Mega Ampere Spherical Tokamak) experiment [2], leading to substantial enhancements in data discoverability, accessibility, and overall data retrieval performance, particularly in scenarios involving large-scale data access. Our work follows the principles of Analysis-Ready, Cloud Optimised (ARCO) data [3] by using cloud optimised data formats for fusion data.
Our system consists of a query-able metadata catalogue, complemented with an object storage system for publicly serving data from the MAST experiment. We will show how our solution integrates with the Pandata stack [4] to enable data analysis and processing at scales that would have previously been intractable, paving the way for data-intensive workflows running routinely with minimal pre-processing on the part of the researcher. By using a cloud-optimised file format such as zarr [5] we can enable interactive data analysis and visualisation while avoiding large data transfers. Our solution integrates with common python data analysis libraries for large, complex scientific data such as xarray [6] for complex data structures and dask [7] for parallel computation and lazily working with larger that memory datasets.
The incorporation of these technologies is vital for advancing simulation, design, and enabling emerging technologies like machine learning and foundation models, all of which rely on efficient access to extensive repositories of high-quality data. Relying on the FAIR guiding principles for data stewardship not only enhances data findability, accessibility, and reusability, but also fosters international cooperation on the interoperability of data and tools, driving fusion research into new realms and ensuring its relevance in an era characterised by advanced technologies in data science.
[1] Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016) https://doi.org/10.1038/sdata.2016.18
[2] M Cox, The Mega Amp Spherical Tokamak, Fusion Engineering and Design, Volume 46, Issues 2–4, 1999, Pages 397-404, ISSN 0920-3796, https://doi.org/10.1016/S0920-3796(99)00031-9
[3] Stern, Charles, et al. "Pangeo forge: crowdsourcing analysis-ready, cloud optimized data production." Frontiers in Climate 3 (2022): 782909.
[4] Bednar, James A., and Martin Durant. "The Pandata Scalable Open-Source Analysis Stack." (2023).
[5] Alistair Miles (2024) ‘zarr-developers/zarr-python: v2.17.1’. Zenodo. doi: 10.5281/zenodo.10790679
[6] Hoyer, S. & Hamman, J., (20
DESIGN AND DEVELOPMENT OF AUTO OXYGEN CONCENTRATOR WITH SOS ALERT FOR HIKING ...JeevanKp7
Long-term oxygen therapy (LTOT) and novel techniques of evaluating treatment efficacy have enhanced the quality of life and decreased healthcare expenses for COPD patients.
The cost of a pulmonary blood gas test is comparable to the cost of two days of oxygen therapy and the cost of a hospital stay is equivalent to the cost of one month of oxygen therapy, long-term oxygen therapy (LTOT) is a cost-effective technique of treating this disease.
A small number of clinical investigations on LTOT have shown that it improves the quality of life of COPD patients by reducing the loss of their respiratory capacity. A study of 8487 Danish patients found that LTOT for 1524 hours per day extended life expectancy from 1.07 to 1.40 years.
Big Data and Analytics Shaping the future of PaymentsRuchiRathor2
The payments industry is experiencing a data-driven revolution powered by big data and analytics.
Here's a glimpse into 5 ways this dynamic duo is transforming how we pay.
In essence, big data and analytics are playing a pivotal role in building a future filled with faster, more secure, and convenient payment methods for everyone.
Data analytics is a powerful tool that can transform business decision-making across industries. Contact District 11 Solutions, which specializes in data analytics, to make informed decisions and achieve your business goals.
Harnessing Wild and Untamed (Publicly Available) Data for the Cost efficient ...weiwchu
We recently discovered that models trained with large-scale speech datasets sourced from the web could achieve superior accuracy and potentially lower cost than traditionally human-labeled or simulated speech datasets. We developed a customizable AI-driven data labeling system. It infers word-level transcriptions with confidence scores, enabling supervised ASR training. It also robustly generates phone-level timestamps even in the presence of transcription or recognition errors, facilitating the training of TTS models. Moreover, It automatically assigns labels such as scenario, accent, language, and topic tags to the data, enabling the selection of task-specific data for training a model tailored to that particular task. We assessed the effectiveness of the datasets by fine-tuning open-source large speech models such as Whisper and SeamlessM4T and analyzing the resulting metrics. In addition to openly-available data, our data handling system can also be tailored to provide reliable labels for proprietary data from certain vertical domains. This customization enables supervised training of domain-specific models without the need for human labelers, eliminating data breach risks and significantly reducing data labeling cost.
Harnessing Wild and Untamed (Publicly Available) Data for the Cost efficient ...
Direction of travel on a map in Power BI.pptx
1. Show Direction of Travel
on a map in Power BI
Power BI Tips
and Timesavers
2. A global commodity trading client of ours had a requirement to create a dashboard
that presented the latest locations and headings for a range of container ships
The internal BI team had been using a dashboard in Tableau which catered for this
requirement quite easily, but could not find a way to replicate this in Power BI, so the
task was handed over to us
What follows is a simplified guide using some sample data that we have generated to
make it straight forward to follow along
3. Getting Started
The first thing you will need is some
sample shipping data
We created a simple spreadsheet
with 49 rows to illustrate
4. Getting Started
You will also need an appropriate icon to represent the ships
In our case we used an AI image creator to represent a ship
and removed the background
It is important that this image faces North in its neutral
position, we will be applying the heading as a rotation to
illustrate the direction of travel
5. Load the sample data into Power BI
The first step is to load the sample data
into Power BI
On the Home ribbon in Power BI Desktop,
select get data, then Excel workbook and
select your excel file
If you download our sample data you will
save yourself some time and not have to
do anything to the field types
6. Load the ICON MAP V3 add in
Once it is loaded you can then
download the IconMapV3
from the marketplace, which
is a free download
select the three dots and
select get more visuals
7. Add the map to the canvas
Now select this and drag it
onto your canvas
8. Field Settings for the icon map
Field settings for the Icon Map
Category - use ship name
longitude = longitude
latitude = latitude
Size = Icon Size
Add the icon
Select format your visual
Then go down to objects and expand the section
9. Choosing the ICON
We will use the conditional formatting options under Image /
WKT
The icon field is a url which Power BI uses to download the icon
10. Rotate the image
Then set the heading, we use the image rotation to turn the
object by the correct number of degrees
Select Heading from the field options
12. Showing the direction of travel on a map in Power BI is made much
easier with this add in
This just the basics to get you started, and by following along with the
example you can get similar results
Icon Map v3 is the latest release and has a great deal more features,
some of which look very impressive
13. For more Tips, Tricks and
Timesavers, visit our website
Business Analytics Blog – Select Distinct
Credit: simon.harrison@selectdistinct.co.uk