Peller_DA📊

I built a multi-page Primary Health Centre (2023 & 2024) analytics dashboard to shift the conversation from how much to how fair. 🔸Executive Overview 🔸Disease Analysis 🔸Patient Analysis 🔸Facility Analysis Thanks to @shadesofsid for sharing the datasets

@vheeorji22 Use ur Search Bar and type " Snipping tool"

How to screenshot on a laptop???😭 This is really frustrating 😭

Added another dashboard 📌 Check out the post - x.com/casmircodesdat…

@CasmirCodesData Nice work Brother 🤞🔥

I shall be the head and not the tail 😂 In pandas, we all know: df.head() will shows the first 5 rows But what if you want the bottom view? Meet the quiet one: df.tail() that will give you the last 5 rows 📊 Don’t ignore the tail 😉

@geapsean @vheeorji22 Then SQL will test you Logically then 😆

@vheeorji22 I'm yet to start learning SQL Seeing people saying EXCEL is hard, I think SQL should be easy, cos I don't think Excel is hard. Maybe technical, but not hard.

What's harder to learn? A. Excel B. SQL C. Python D. All of the above 😭

@AL_MEEZANYY That's the best approach man. After that you will now sort the month in Ascending order 🤞

I encountered this challenge in Power BI, whereby months are sorted alphabetically instead of following the normal month order. The solution to this is to create a month number column in the calendar table, and use the "Sort by Column" tab to fix this. learning while building ✌️

@JA_Olaoye Well done Boss

I want to know my active Followers and I want to follow all my active followers I have not been following. The clean up is necessary. TODAY IS THE DAY.

@PkayFits Leader of Tomorrow 😭😂😂

@peller02 Before Nigeria go enter full ban make I quickly Japa 🤲🏾😅 Anyways, clear categorization

I've always been the data guy. Raw data, real insights, no fluff. But there's a side of me my timeline hasn't fully seen yet: geospatial. I developed this thematic map to visualize how U.S. travel policies are distributed across African countries, categorizing each nation.

@her_voice76438 Thank you 🤗

@peller02 Looks great

@Manohargc2650 Not necessary. It all depends on your choice

@peller02 Is it necessary to put all the dashboards in a single page? It makes me confused rather than clarity

I'm Peller_DA 📊 A Data Analyst who transforms data into actionable insights. I reveal the trends and patterns hidden inside your rows and columns (databases). When data solves your problem, everyone wins. Productive week #Datafam

@nikku762 You're welcome

@peller02 That makes sense 💯 KPI + business goal alignment is something I’m trying to understand better. I’ll also start using data dictionary more. Appreciate this insight!

@Inem_arch This is nice and Top work👏

Hi #DataFam Been a little quiet lately. Sometimes you feel lazy. Sometimes progress slows down. But the important thing is getting back up and moving again. I finally completed my Pharmacy Sales & Profitability Dashboard Slow progress is still progress. #DataAnalytics #PowerBi

@her_voice76438 @CasmirCodesData Thank you 🤗

@peller02 @CasmirCodesData Amazing work

@nikku762 Thank you very much. Mainly Your KPIS should goal alignment. Also, having general understanding of the datasets will help a lot. Most of my KPIS Inspo do come while reading the Data dictionary. Finally, AI can also help you with that and also in alignment with business goal.

@peller02 Really clean dashboards 🔥 I like how the insights are clearly presented. I’m learning Power BI — how do you choose the right KPIs for a project?

Most data analysis projects don’t fail because of tools; they fail because of poor structure. That’s where the CRISP-DM framework comes in. The CRISP-DM (Cross-Industry Standard Process for Data Mining) framework provides a structured approach to solving data problems, from understanding the business to delivering actionable insights. It consists of six key stages: 1. Business Understanding Define the problem, objectives, and what success looks like. 2. Data Understanding Explore the data, identify patterns, and assess data quality. 3. Data Preparation Clean, transform, and structure the data for analysis. 4. Modelling Apply analytical or machine learning techniques to solve the problem. 5. Evaluation Validate results against business objectives. Does this actually solve the problem? 6. Deployment Present insights, build dashboards, or integrate models into business processes. The real value of CRISP-DM is not just the steps, it’s the iteration. You move back and forth between stages until the solution is truly aligned with the business need. If you’re working on dashboards, predictive models, or business analysis, this framework keeps your work focused and impactful. Are you using a structured approach like CRISP-DM in your projects? #DataAnalytics #CRISPDM

@FunshoRey @JA_Olaoye This is a good read.

@JA_Olaoye good morning sirr I wrote an article on Database optimization. kindly give it a read and would appreciate your insight @oluwabukunmi_/why-your-bi-dashboard-is-slow-and-what-professionals-do-about-it-bf9fb8995e0d" target="_blank" rel="nofollow noopener">medium.com/@oluwabukunmi_…

Some of the reasons Most Data Analysts struggle to get opportunities. Not because they lack skills. Because they don’t know how to sell them. The hard truths: 1. Stop listing tools. Start solving problems. 2. Projects don’t impress. Outcomes do. (You must own the project and explain it in detail) 3. Pick a niche early. Generalists get ignored.*** 4. If a manager can’t understand you, you’re not useful yet. 5. Sell small first. One dataset. One insight. One win. Data is not the product. Clarity is. What’s your take on point 3?

@Femiforge This is awesome 👏

I wanted to see the full picture. So I built a dashboard,so I tracked confirmed cases, deaths, and outbreak patterns across all 36 states and the FCT from 2020 to 2025. 1,191 dead. 48,000+ infected. 6 years. And the numbers aren't spiking anymore.The disease has settled in.

@GreaterMe4Ever Yes sir! Nice having you here too.

@peller02 Nice to meet you

Basic Excel Formulas