Understanding Time Series in Data Storytelling

The Basics of Data Storytelling

Let’s continue with Step 2 – Identify the points you want to emphasize from your data. The Data Storytelling is everywhere!. There are so many charts swirling around us, but many of them can be simply bucketed into 5 categories:

The Day-to-Day Life Examples of Time Series

Let’s continue with the third one – TIME SERIES COMPARE.

To easily illustrate from day to day life what does Time Series Comparison mean are the next examples:

PERSONAL HEALTH TRACKING

Fitness Data Storytelling, Data Storytelling around us

Fitness trackers and smartwatches record your daily steps, heart rate, or sleep quality. You can compare your daily step count. Additionally, examine your heart rate over weeks. By doing this, you can see trends like improvements in fitness or changes in sleep patterns.

WEATHER MONITORING

Weather Data Storytelling, Data Storytelling around us

Weather apps show daily temperature, rainfall, or humidity. Comparing these values over days, weeks, or months helps you notice trends. For example, you notice warming weather as summer approaches. You can also detect rainfall patterns throughout the year.

STOCK MARKET WATCHING

Finance Data Storytelling, Data Storytelling around us

Investors look at the price of a stock or an index (like the S&P 500) over days, months, or years. This lets them see if the value is trending up, down, or fluctuating, and make decisions accordingly.

MEDICAL MONITORING

Medical Data Storytelling, Data Storytelling around us

Doctors check a patient’s vitals (like blood pressure or glucose levels) over several days or weeks. This monitoring helps identify trends, such as improvements or deterioration in health. They adjust treatment appropriately.

THE SUMMARY OF THE DAILY EXAMPLES

Daily Examples of Data Storytelling, Data Storytelling around us

Summary

Anytime your story uses words like change, increase, decrease, grow, decline, fluctuate over time, etc., you can almost be sure that you will use charts in the TIME SERIES COMPARE section.


Discover more from Visual Wizards Academy

Subscribe to get the latest posts sent to your email.

12 responses

  1. […] Comparison. I suggest the next approach. This approach compares HR Turnover by Job Level and Region across Quarters. It also compares them to the Industry […]

    Like

  2. […] like “compare over time” or “trend” in the message, it usually indicates a Time Series Comparison. I suggest the following approach. We need to show the Completion Rate over time, […]

    Like

  3. […] like “compare over time” or “trend” in the message, it usually indicates a Time Series Comparison. I suggest the following approach. We need to show the Collection Rates, DSO and other […]

    Like

  4. […] Patterns: Ideal for revealing distribution patterns or shifts in proportions over time across […]

    Like

  5. […] main point is to compare Regions and how their projections evolved. The author uses a Line Chart. This is correct because line charts are the most frequent charts to show something trending […]

    Like

  6. […] show that “buying Market Share is very costly”. The author uses a Bar Chart and Line Chart. The chart displays the data. But the chart itself has too many elements and does not align […]

    Like

Leave a reply to Understanding Component Comparison in Data Storytelling – Visual Wizards Academy Cancel reply