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The Data Spoke First II
What 179 Days of LinkedIn Impressions Reveal About Content Momentum and Growth How a Daily Process Behavior Chart Uncovered a Turning Point in LinkedIn Strategy Over a 179-day period, from December 10, 2024 to June 6, 2025, I closely tracked the impressions from my daily LinkedIn posts. To analyze this data, I used XmR process…
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The Data Spoke First:
Process Behavior Chart Data Analysis Report Monitoring Period: December 10, 2024 – May 25, 2025Total Observations: 167 consecutive daily data pointsSubject: LinkedIn Activity – Lindsay AlstonFocus Period: Day 152 onward (May 10–25, 2025) 1. Overview This analysis reviews LinkedIn activity over a continuous 167-day period using a process behavior chart (control chart). From Day 1…
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My Top 5 LinkedIn Posts by Impressions
Understanding what drives impressions and engagement is key to growing your audience and building meaningful connections. After reviewing my top 5 LinkedIn posts by impressions, some patterns are starting to emerge — and they reveal valuable insights about what resonates with my audience. From high-reach posts with zero engagement to others with smaller reach but…
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LinkedIn Report Card: 01/07/2025 – 02/06/2025
Over the past month, my LinkedIn activity has shown some encouraging trends that I’m really excited to share. From January 07, 2025, to February 6, 2025, I’ve seen steady growth in key metrics, which is a great sign that my efforts to create and share meaningful content are resonating with my audience. Here’s a quick…
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Measuring Progress: Insights From 30 Days of LinkedIn Growth
In the past month, I set out to measure a key question: Does consistent activity on LinkedIn lead to measurable follower growth? Tracking 53 new followers over 30 days provided an average growth rate of 1.77 followers per day. While this appears modest, the data analysis reveals insights into what drives engagement and whether consistent…
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LinkedIn Report Card: 12/10/2024 – 01/06/2025
Over the past month, my LinkedIn activity has shown some encouraging trends that I’m really excited to share. From December 10, 2024, to January 6, 2025, I’ve seen steady growth in key metrics, which is a great sign that my efforts to create and share meaningful content are resonating with my audience. Here’s a quick…
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Markdown Pricing Optimization: How Sophia Maximized Revenue with Data-Driven Pricing
In the fast-paced world of retail, balancing profitability with inventory clearance is a critical challenge. Markdown pricing optimization offers a solution, and Sophia, a regional retail manager, found herself needing just that for her seasonal inventory. Using a Shiny dashboard built with R, she turned her challenge into a $34,000 success story. The Challenge Sophia’s…
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Optimizing Supply Chain Operations with a Shiny Dashboard
Supply chain managers and operations teams often grapple with a range of challenges, including inefficiencies in inventory management, delays in transportation, and a lack of visibility into critical operations. These issues can lead to increased costs, reduced customer satisfaction, and operational bottlenecks. However, leveraging a Shiny dashboard provides a centralized, data-driven solution to these challenges,…
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From Chaos to Clarity: Effortless Data Merging with R
The Problem: Manually merging datasets.Errors creep in. Rows get lost.It’s a slow, frustrating grind. The Hack: R fixes this.Use left_join() for smart merging.It matches rows by a common key. Example: Here’s what you start with: Dataset 1: key_column value1 A Data A1 B Data B1 C Data C1 Dataset 2: key_column value2 A Data A2…
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Interactive Storytelling with R Shiny: Breathing Life into Data
Imagine a dashboard that breathes life into raw data, transforming it into vivid insights. Each piece of code in this R Shiny application weaves together a seamless experience for users, delivering clarity and actionable intelligence from a previously overwhelming dataset. The Fetching of DataThe magic begins with a call to an API, pulling in raw…