The latest articles on DEV Community by Yue (@nekoyue). https://dev.to/nekoyue https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3836964%2F9e572aec-d5ce-414d-aa5e-0299a6a5b951.jpg https://dev.to/nekoyue en Yue Thu, 26 Mar 2026 09:49:50 +0000 https://dev.to/nekoyue/student-performance-dataset-analysis-1kp5 https://dev.to/nekoyue/student-performance-dataset-analysis-1kp5 <p>Link to the dataset:<br> <a href="https://dev.tourl">https://www.kaggle.com/datasets/grandmaster07/student-exam-performance-dataset-analysis</a></p> <h2> Hi everyone! I’m back with my very first research project. I’d love to hear your thoughts, questions, or any tips you might have - I’m all ears and eager to learn! </h2> <p>Following analysis doesn't chase a particular hypothesis to prove, or anything, I use dataset to test my own abilities.</p> <p>First of all, I'm using this dataset to analyse correlations between given measurements, starting with heatmap:</p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ff0zjcfku1uby0kwbnrvw.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ff0zjcfku1uby0kwbnrvw.png" alt=" " width="800" height="598"></a></p> <p>The biggest surprise? Attendance (0.58) is a stronger predictor than Hours Studied (0.45). It’s not just about how much person works, but how consistent person is. (Surely, considering that this dataset is 'artificial', it's not really describing real-life cases, so don't take everything by heart)</p> <p>Apart from that, there is a weak linear relationship between Exam Score and Previous Score + Tutoring Sessions, so I consider them as a secondary factors.<br> <a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fvso5gt8bi3znvt61kr9z.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fvso5gt8bi3znvt61kr9z.png" alt=" " width="559" height="426"></a></p> <p>Looking at the heatmap again, it seems clear that other numbers are negligible correlations, so not paying a lot of attention there.<br><br> When plotting Exam Scores against School Type, the distributions are nearly identical. The median score stays flat across both categories.</p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F9hvnm5dau5883ldx5fi7.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F9hvnm5dau5883ldx5fi7.png" alt=" " width="800" height="464"></a></p> <p>When plotting Exam Scores against School Type, the distributions are nearly identical. The median score stays flat across both categories.</p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F25lpqky3jf55l8zfuew5.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F25lpqky3jf55l8zfuew5.png" alt=" " width="335" height="398"></a></p> <p>I conducted an outlier analysis to identify 'High-Efficiency' students—those who outperformed their peers despite lower-than-average study hours. I defined this group by filtering for individuals whose study time was below the mean, yet their exam scores were at least 10 points above the population average. </p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fq1w13tue3tthxm0jihvz.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fq1w13tue3tthxm0jihvz.png" alt=" " width="630" height="398"></a></p> <p>When I looked at 'High-Efficiency' students I found that there are no true shortcuts. The data is remarkably consistent: outliers are rare, and those who do exist usually rely on Medium-High Parental Involvement to bridge the gap.</p> python database datascience Yue Sat, 21 Mar 2026 12:24:10 +0000 https://dev.to/nekoyue/beginning-my-journey-3ogg https://dev.to/nekoyue/beginning-my-journey-3ogg <p><strong>Hello everyone!</strong> My name is surely not Yue, but I'm really in love with my pseudonym, so for some time I'll be here under it. <br> I'm <strong>not</strong> exactly just beginning coding, as <em>I have a bit of knowledge</em> about C++, Python, JS, CSS and HTML, but not experience, so I'm trying to use it doing small researches on open Kaggle datasets (mostly visualisation on python). Apart from that, I'm learning webdev and gamedev (ik that may sound childish, but I wanna create a roblox game).<br> I want to connect my hobbies one with each other, and apart from coding I'm surely <strong>a massive fan of The Apothecary Diaries</strong>, I do a lot of yapping about it on my x, if someone needs it:<br> <a href="https://dev.tourl">https://x.com/IKuzbakova54993</a></p> <blockquote> <p>I'm always open to chatting and participating in projects!</p> </blockquote> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fzhy3ws938ev07fpmc5oq.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fzhy3ws938ev07fpmc5oq.png" alt=" " width="800" height="565"></a></p> programming productivity beginners career