Can you open RingConn CSV exports in Excel?

Yes. The RingConn export ZIP contains three plain CSV files (Activity, Sleep, Vital Signs) that open directly in Excel or Google Sheets. Each row is one day. Sleep values are in minutes, so divide by 60 for hours.

How do I see if my HRV is trending up in Excel?

Compare averages of two consecutive windows rather than eyeballing the chart: use AVERAGEIFS over the last 60 days vs the 60 days before. A difference of 5% or more between windows is a real trend; day-to-day movement is mostly noise.

Is there an easier way than Excel to analyze RingConn data?

Yes — TrendArc reads the RingConn export ZIP directly in your browser and computes trends, personal baselines, weekday patterns, and a narrative summary automatically. No account, no upload — the data never leaves your device.

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How to Analyze RingConn Data in Excel — and the 10-Second Alternative

The RingConn export gives you clean CSVs (here's how to get them), and Excel or Google Sheets will happily open them. The catch is that raw daily numbers answer the wrong question. "What was my HRV yesterday?" is noise. "Has my HRV moved over the last two months?" is signal. Here's how to get signal out of a spreadsheet — and what to use if you'd rather not build it yourself.

Step 1: Get the data into one sheet

Unzip the export. Open Vital Signs — it has the date column plus heart rate, HRV, and SpO2.
Sleep values live in the Sleep CSV and are in minutes — add a column dividing by 60 if you want hours.
If you want everything in one table, match rows by the date column (VLOOKUP or just paste side-by-side — the exports share the same date keys).

Step 2: The three formulas that actually matter

Trend (window vs window). Don't eyeball the chart — compare two consecutive windows. With dates in column A and HRV in column B:

=AVERAGEIFS(B:B, A:A, ">="&TODAY()-60) / AVERAGEIFS(B:B, A:A, ">="&TODAY()-120, A:A, "<"&TODAY()-60) - 1

That's "last 60 days vs the 60 before, as a percentage." A move of ±5% or more between windows is worth believing. Less than that is usually noise.

Personal baseline. Your normal range, not the internet's: mean ± standard deviation over a trailing window:

=AVERAGE(B2:B61) and =STDEV.S(B2:B61)

A day outside mean ± 1 SD is unusual for you. That beats comparing yourself to population charts.

Weekday pattern. Add a column =TEXT(A2,"ddd"), then pivot (or AVERAGEIF) sleep hours by day name. Weekday-vs-weekend sleep gaps — social jet lag — hide in plain sight in daily views.

The traps: blank days (ring off, charging) silently shrink your AVERAGEIFS windows; sleep minutes masquerade as impossible hour counts; and a 7-day "trend" is almost always noise — HRV and resting HR move on the scale of weeks, not days.

Step 3: Interpret like a skeptic

One metric improving while another dips is normal. Look for the direction of the majority of your recovery metrics (HRV up, resting HR down, deep sleep up = good period).
Never read causation off two columns moving together. "Steps up, HRV up" might both be caused by the same easier week at work.
Small persistent changes beat big one-day spikes. A resting HR that drifts from 44 to 42 over two months means more than any single 38 bpm night.

The 10-second alternative

Everything above — windowed trends, personal baselines, weekday splits, plus things that are genuinely painful in a spreadsheet (sleep-stage composition over time, tagged-day comparisons with minimum sample sizes, best-stretch detection) — is what TrendArc computes automatically when you drop the export ZIP into your browser. Same math, zero formulas, and the data never leaves your device: no account, no upload, no server.

Skip the formulas — see the demo

TrendArc reads your RingConn ZIP entirely in your browser and turns months of data into long-term trends and plain-English insights. The trend charts are free. Try it on sample data first; no ring required.

Open the demo →