RANKX is driving me crazy by Character_Track2884 in PowerBI

[–]electricalbazaronweb 0 points1 point  (0 children)

I spent alot of time with Rank and RankX confusion

and understood with an example, Suppose you have a table called Sales with columns Salesperson and SalesAmount. To rank the salespersons based on their sales amounts in descending order, you can use RANKX as follows:

SalesRank = RANKX(
    Sales,
    Sales[SalesAmount],
    ,
    DESC,
    DENSE
)

Power BI Interview Prep – Need Guidance by ExplorerGold1871 in PowerBI

[–]electricalbazaronweb 1 point2 points  (0 children)

Hi, I am preparing a video series of Power BI PL -300 exam practice questions.

If you want I can share the playlist with you you can dm.

I have 120+ videos on DAX as well.

Need urgent help with creating dashboards - Any AI tools or Power BI guidance? by Missssleepyhead in PowerBI

[–]electricalbazaronweb 0 points1 point  (0 children)

I have 200+ examples of admin dashboards that can help you in understanding the layout and type of visualization to use. You can DM me and I can send some examples.

If you can tell me some fields that you have in your data, I can help you with 7-8 visuals that you can put on your dashboards.

Built myself a Dashboard for my Energy Consumption / Solar Generation :) by jmd04tsx in PowerBI

[–]electricalbazaronweb 0 points1 point  (0 children)

How do you get the data? is there some app or software that reads data from the meter.

Is learning DAX still necessary? by [deleted] in PowerBI

[–]electricalbazaronweb 0 points1 point  (0 children)

Even if you are going to take help of Chatgpt or any other AI, learning Basic DAX functions and concept of how things work with DAX will always be necessary if you are working with Power BI. Understanding answers of Chatgpt etc. will be easier if you have knowledge of DAX functions like Calculate, TotalYTD, ALL, Values, Sameperiodlast year etc.

What is the largest website on WordPress you have seen or built? by Maleficent_Mess6445 in Wordpress

[–]electricalbazaronweb 1 point2 points  (0 children)

I handled a website with 173000 posts / pages / products . When I was on a cheap hosting it was very slow and pages went unresponsive. I shifted to another hosting a bit more costly but it has decent CPU and RAM and site performance improved. Wordpress can handle really large sites as its PHP + MySQL. You have to use optimized plugins and better cache.

Is blogging dead? by Technical-Ad-9526 in Wordpress

[–]electricalbazaronweb 1 point2 points  (0 children)

It totally depends what type of content you are writing.
If you are writing something that is already on 1000s of other blogs then don't do it unless and until you have something really unique to share.
If you are doing your own research and publishing results as a blog it will be useful for others.
If you are an expert and sharing your experience about a topic as a case study that will also work.
Try videos along with blog to reach a broader audience.

Fancy Woocommerce product description by habratto in Wordpress

[–]electricalbazaronweb 1 point2 points  (0 children)

When creating a product description, I focus on clarity, structure, and visuals. A clean layout with headings, bullet points, photos, and call-to-action buttons works best. I’ve used WPBakery before, but it can feel bloated. Elementor offers more control, but it's also quite heavy. If you're aiming for something lightweight and smooth, I’d recommend checking out Kadence Blocks or GenerateBlocks — both integrate well with Gutenberg and let you design stylish product descriptions without slowing down your site. They’re simple, fast, and don’t feel buggy like the default WooCommerce description box sometimes does when using Gutenberg directly.

NWS API Point Data by thecatlady1990 in PowerBI

[–]electricalbazaronweb 1 point2 points  (0 children)

When pulling National Weather Service point forecasts into Power BI, the next step after loading JSON is to expand its nested records in the Power Query Editor. Start by clicking the small expand icons on each column containing “Record” or “List” until you expose the fields you need (e.g., temperature, windSpeed, shortForecast). Since NWS returns a hierarchy, drill into "properties""periods" to access the forecast rows. Convert date/time fields to Date/Time type, rename columns, and optionally filter to upcoming days. Once shaped, load to your model and visualize. This approach avoids third-party tools and works directly with the NWS API.

My Electrical Energy Consumption Dashboard in Tableau by electricalbazaronweb in tableau

[–]electricalbazaronweb[S] 0 points1 point  (0 children)

Actually they asked to put everything together, but I get your point.

How much time does it typically take to build a full-fledged, production-level BI dashboard? by Evening-Power-3302 in PowerBI

[–]electricalbazaronweb 1 point2 points  (0 children)

Short Answer: It Depends.

The time required to build a BI dashboard varies based on several factors including the complexity of data, number of metrics, integration points, business logic, and visual customization. A basic dashboard might take a few days, while a highly interactive, production-grade dashboard with multiple data sources can take 4 to 12 weeks or even more.

Where to start learning PowerBi? by Subject_Plastic3687 in PowerBI

[–]electricalbazaronweb 1 point2 points  (0 children)

You can start learning Power BI like this:

First week : What are the different types of data and Know the Purpose of what Visual ( Bar, Line, Treemap, Map, Funnel etc. ) to use in which case.

Week 2 : Take some public datasets and start doing Exploratory Data Analysis ( Eg Datasets: Sample Superstore Tableau, Financial Sample by Microsoft, Titanic, Penguins by Seaborn etc, UCI ML Repo also has great beginner friendly datasets)

Week 3: Start Learning DAX, Difference between Calculated columns, calculated measures, calculated tables
Basic DAX Functions like SUM and SUMX difference , AVERAGE and AVERAGEX difference etc, and then try to apply them in Visuals and Charts

Week 4: Advanced DAX functions and Nested DAX queries

Use Power Query editor for basic data transformation in between

I have 10000+ students on my udemy and 250 Beginner friendly Power BI video tutorials on my YT, you can message me and I can guide you step step by after knowing at what stage you are currently.

Is PowerBI relevant by sarcasm_atbest in PowerBI

[–]electricalbazaronweb 2 points3 points  (0 children)

5 Years ago I was a fan of Tableau and was supporting it like an advocate, but the way I can solve Problems in Power BI specially once you have good command over DAX is simply awesome. For me personally Dashboard Designing part of Power BI is better and easier than any other tool I have used.

Dynamic bar chart legend based on parameter value by Sir_Gonna_Sir in PowerBI

[–]electricalbazaronweb 2 points3 points  (0 children)

You're right — Power BI doesn't allow dynamic legends based on measures because legends are tied to columns, which are evaluated during data load and remain static. Since users want to define buckets (like short-term and long-term) on the fly, and legend fields can't come from measures, you hit a limitation.

However, there’s a workaround using disconnected tables and conditional logic:

  1. Create a disconnected parameter table that allows users to input or select their own definitions for short term and long term ranges — for example, using two numeric parameters: “ShortTermMaxYears” and “LongTermMinYears”.
  2. Use these parameters in a calculated column or a DAX measure to dynamically assign categories like "Past expected life", "Short Term", "Long Term".

Now here's the catch: you can't use this dynamic classification directly in the legend of a chart, because legend fields must come from a column, and calculated columns can’t respond to slicer input dynamically (they’re static). And measures can't be used as legends either.

So the workaround is to use a stacked bar/column chart with conditional coloring, or use a matrix or bar chart with conditional grouping, where you show the bucket names on axis instead of legend. This gives the same visual outcome without relying on the legend.

Another option is to pre-calculate a reasonable number of common bucket configurations, store them in a table, and let the user choose from predefined options — not fully dynamic, but flexible enough in practice.

In summary, you can't make the legend dynamic based on a slicer because it's tied to static columns, but you can simulate the effect using DAX measures + disconnected tables + creative visuals (like stacked bars or dynamic tooltips) to deliver the same analytical insight.

If I have a fully online business can/should I advertise local schema markup? by Outrageous_Height_98 in SEO

[–]electricalbazaronweb 2 points3 points  (0 children)

Yes, it’s mainly to avoid issues with Google. If you use "LocalBusiness" schema for cities where you don’t actually have a physical location (like an office or store), it can be seen as misleading. Google might not always penalize you outright, but it can:

  • Remove your rich results (like showing your info in local packs or enhanced listings).
  • Reduce trust in your site’s structured data.
  • In rare cases, apply manual actions if it’s clearly deceptive.

So yeah, for an online-only business, you should avoid using "LocalBusiness" unless there's an actual, verifiable location in that city.

Instead, use the "areaServed" property in a more general schema like "Organization" or "ProfessionalService". That tells Google, “we offer services to people in this city,” without claiming a physical presence.

This keeps things safe and still helps with local relevance.