Five Reasons to Learn R for Project Monitoring

Five Reasons to Learn R for Project Monitoring

Monitoring is an important part of project success. It includes looking at quality of data being collected, identifying gaps in data collection, and creating monthly reports to show the program standing. For anyone who oversees the data management component, there is always the question of what software to use. The dilemma lies in choosing a tool that is affordable for the agency, is multifunctional (statistical analysis vs visualization), and requires less technical knowledge/coding to operate.

Monitoring is an important part of project success. It includes looking at quality of data being collected, identifying gaps in data collection, and creating monthly reports to show the program standing. For anyone who oversees the data management component, there is always the question of what software to use. The dilemma lies in choosing a tool that is affordable for the agency, is multifunctional (statistical analysis vs visualization), and requires less technical knowledge/coding to operate. As a matter of fact it is not easy to find one software that meets all these requirements.

In my practice, I have looked at various tools, and I have discovered that R appears extremely helpful for project monitoring. It deals perfectly with routine tasks in data management fields such as combining datasets, controlling data quality, updating missing data, slicing/subsetting data to project needs, and creating monthly reports. A specific dashboard example is provided later in this article.

Of course, you can do other advanced things with R including interactive dashboards, comprehensive statistical analysis, and developing your own functions or programs. Yet, the truth is that you don’t need to use that type of skill daily. Simple things that you know how to do in R can make you more efficient at your workplace — eventually, simple things make our lives easy and joyful.

Combine Dataset

R works with various types of data formats like spss, sas, txt, excel, and csv. Many agencies are using google sheets for data storage and collections. The data from google sheets can be loaded to the R environment in seconds.

Here is a specific example:

A program has four different projects: Education, Health, Job training, and Family Advocacy. Each project collects details on the beneficiary’s case, the date, and the service provided. The beneficiaries can be enrolled in several projects at the same time. Each beneficiary receives his or her own unique ID. Before being enrolled into a specific program, a separate unit completes intake (demographics) and decides on the project to enroll the applicant. Since data comes from various places, your task is to combine it into one dataset. Data is being stored using google sheets.

Here’s is how you can do it using R.

r ggplot2 monthly-report project-management nonprofit

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Top Android Projects with Source Code

Android projects with source code - Work on real-time android projects. We’ll start project ideas from beginners level and later move to advance projects.

What is scope creep in project management?

Scope creep in project management is a scenario where project scope derails from its intended track and consequences in project delays, cost overrun, decreased satisfaction, and failure in business value realization. In this blog, we will be discussing multiple factors that contribute to scope creep in our experiences and the steps that can be used to prevent ourselves from scope creep.

10 Writing steps to create a good project brief - Mobile app development

This comprehensive article covers 10 writing steps to create a good project brief/summary for mobile app development and the writing mistakes to avoid.

What is scope creep in project management?

What is scope creep in project management? How to prevent scope creep from occurring in projects? 8 factors contributing to scope creep, What is scope creep?

Data Visualization in R with ggplot2: A Beginner Tutorial

Data Visualization in R with ggplot2: A Beginner Tutorial. Learn to visualize your data using R and ggplot2 in this beginner-friendly tutorial that walks you through building a chart for data analysis.