Sample superstore dataset power bi.
Download Power Bi Excel Sample Data for practice purpose.
Sample superstore dataset power bi Sample Superstore Dashboard Resources 2 days ago · This project analyzes superstore sales and profit data to identify trends across regions, categories, and segments. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional A Sample Superstore Dashboard created using Power BI analyzing Sales. Resources Apr 28, 2024 · The dataset only involves the Orders excel, which contains the data about the superstore product orders in the US from 2019 - 2020. Nov 18, 2023 · Analyzing the sales data from 2017 to 2019 through a yearly line graph provides a comprehensive visual narrative of the Superstore’s performance over these years. Download Power Bi Excel Sample Data for practice purpose. Using Power Query in Power BI and Excel, I cleaned raw data, calculated metrics, and designed dashboards. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. Read More. The table also contains order information like customer name, product details, and shipping address. How to Calculate Year over Year (YOY) Growth % in Power BI?. The insights support data-driven decisions to boost business performance. How to Calculate Year over Year (YOY) Growth % in Power BI? Nov 28, 2019 · Download Power BI Sample Data Set for practice purpose, Power BI SuperStore, Map & Time Series Data Set excel sheet are available. Nov 28, 2019 · Download Power BI Sample Data Set for practice purpose, Power BI SuperStore, Map & Time Series Data Set excel sheet are available.
payjc wmqlxsp tppczef vzhuz theofpv qllon clhk wnozf csnal fuaplw
{"Title":"100 Most popular rock
bands","Description":"","FontSize":5,"LabelsList":["Alice in Chains ⛓
","ABBA 💃","REO Speedwagon 🚙","Rush 💨","Chicago 🌆","The Offspring
📴","AC/DC ⚡️","Creedence Clearwater Revival 💦","Queen 👑","Mumford
& Sons 👨👦👦","Pink Floyd 💕","Blink-182 👁","Five
Finger Death Punch 👊","Marilyn Manson 🥁","Santana 🎅","Heart ❤️
","The Doors 🚪","System of a Down 📉","U2 🎧","Evanescence 🔈","The
Cars 🚗","Van Halen 🚐","Arctic Monkeys 🐵","Panic! at the Disco 🕺
","Aerosmith 💘","Linkin Park 🏞","Deep Purple 💜","Kings of Leon
🤴","Styx 🪗","Genesis 🎵","Electric Light Orchestra 💡","Avenged
Sevenfold 7️⃣","Guns N’ Roses 🌹 ","3 Doors Down 🥉","Steve
Miller Band 🎹","Goo Goo Dolls 🎎","Coldplay ❄️","Korn 🌽","No Doubt
🤨","Nickleback 🪙","Maroon 5 5️⃣","Foreigner 🤷♂️","Foo Fighters
🤺","Paramore 🪂","Eagles 🦅","Def Leppard 🦁","Slipknot 👺","Journey
🤘","The Who ❓","Fall Out Boy 👦 ","Limp Bizkit 🍞","OneRepublic
1️⃣","Huey Lewis & the News 📰","Fleetwood Mac 🪵","Steely Dan
⏩","Disturbed 😧 ","Green Day 💚","Dave Matthews Band 🎶","The Kinks
🚿","Three Days Grace 3️⃣","Grateful Dead ☠️ ","The Smashing Pumpkins
🎃","Bon Jovi ⭐️","The Rolling Stones 🪨","Boston 🌃","Toto
🌍","Nirvana 🎭","Alice Cooper 🧔","The Killers 🔪","Pearl Jam 🪩","The
Beach Boys 🏝","Red Hot Chili Peppers 🌶 ","Dire Straights
↔️","Radiohead 📻","Kiss 💋 ","ZZ Top 🔝","Rage Against the
Machine 🤖","Bob Seger & the Silver Bullet Band 🚄","Creed
🏞","Black Sabbath 🖤",". 🎼","INXS 🎺","The Cranberries 🍓","Muse
💭","The Fray 🖼","Gorillaz 🦍","Tom Petty and the Heartbreakers
💔","Scorpions 🦂 ","Oasis 🏖","The Police 👮♂️ ","The Cure
❤️🩹","Metallica 🎸","Matchbox Twenty 📦","The Script 📝","The
Beatles 🪲","Iron Maiden ⚙️","Lynyrd Skynyrd 🎤","The Doobie Brothers
🙋♂️","Led Zeppelin ✏️","Depeche Mode
📳"],"Style":{"_id":"629735c785daff1f706b364d","Type":0,"Colors":["#355070","#fbfbfb","#6d597a","#b56576","#e56b6f","#0a0a0a","#eaac8b"],"Data":[[0,1],[2,1],[3,1],[4,5],[6,5]],"Space":null},"ColorLock":null,"LabelRepeat":1,"ThumbnailUrl":"","Confirmed":true,"TextDisplayType":null,"Flagged":false,"DateModified":"2022-08-23T05:48:","CategoryId":8,"Weights":[],"WheelKey":"100-most-popular-rock-bands"}