What is this plot about? This plot displays average amount of caffeine present in 6 different caffeinated drinks. The water category represents drinks made through caffeinated powders that are mixed with water. This data was downloaded from [Kaggle] (https://www.kaggle.com/datasets). This bar chart visualizes the average caffeine content across six distinct drink categories. Each bar represents the mean caffeine (in mg) across all products sampled within that type, allowing for a clean cross-category comparison.

Caffeine in Drinks: This bar chart shows the distribution of drink entries across three caffeinated beverage categories in the dataset. Coffee dominates the sample with over 300 entries, followed by Tea with roughly 185, and Energy Drinks with the fewest at around 50. This imbalance in sample size is worth keeping in mind when interpreting averages, the coffee and tea figures are based on much larger samples than energy drinks.

Among the three drink types, Energy Drink had the highest average focus level (0.95), while Tea had the lowest (0.72). Coffee fell in between at 0.88.

Drink Type & Focus Level: This chart explores a self-reported or derived “focus level” metric across the same three drink types, scaled from 0 to 1. Energy Drinks score the highest average focus level (just above 0.9), followed closely by Coffee (around 0.85), while Tea trails noticeably at approximately 0.70. This suggests that higher-caffeine drinks tend to correlate with higher reported focus, though causality can’t be assumed, and the smaller energy drink sample size may affect reliability of that bar.

This dataset includes 500 students. The average sleep duration was 6.47 hours, with students consuming an average of 2.5 caffeinated beverages per day.

What is this plot about? This histogram shows the distribution of caffeine consumption among college students. Most students fall within a moderate range of caffeine intake, while fewer students consume very low or very high amounts. The shape of the distribution suggests that caffeine consumption is slightly right-skewed, indicating the presence of some high-consumption individuals.

Caffeine Intake for College Students: This scatter plot illustrates the relationship between age and caffeine consumption among college students. The data points show variability in caffeine intake across ages, and the trend line indicates no clear relationship between age and consumption. This suggests that within the college-age range, age is not a strong predictor of caffeine intake.

Average Caffeine Consumption This line plot shows the average consumption of caffeine in college students. The trend illustrates how caffeine consumption changes as age increases, with showing a rise until the age of 20, then a heavy fall at the age of 21.

This bar chart displays the drinks with the highest caffeine content. It highlights the significant variation in caffeine levels across beverages, with certain drinks containing substantially more caffeine than others. This helps explain why some students may have much higher overall caffeine intake depending on their beverage choices.

Caffeine is one of the most widely consumed substances among college students — used to push through late nights, early mornings, and constant deadlines. But what does it actually do to mental health? This dashboard explores the relationship between caffeine consumption and key mental health indicators including stress levels and fatigue using two datasets collected from students and developers.

Stress & Caffeine: Stress levels tend to rise with increased coffee consumption. Students consuming 4+ cups per day show the highest average stress, possibly reflecting a cycle where stress drives more caffeine use, which in turn increases stress.

Fatigue & Caffeine: The trend line shows fatigue increases with more coffee consumed per day. This likely reflects caffeine’s crash effect — short energy spikes followed by deeper tiredness — and may indicate students are masking underlying sleep deprivation.