<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Templates on TYO-DATA</title><link>https://tyo-data.fr/templates/</link><description>Recent content in Templates on TYO-DATA</description><generator>Hugo -- gohugo.io</generator><language>fr</language><copyright>© 2026 TYO-DATA</copyright><lastBuildDate>Wed, 30 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://tyo-data.fr/templates/index.xml" rel="self" type="application/rss+xml"/><item><title>Are the two arms comparable at the start?</title><link>https://tyo-data.fr/templates/cohort-baseline/</link><pubDate>Wed, 30 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/cohort-baseline/</guid><description>Before judging a treatment, the arms must look alike at randomisation: a Table 1, the age spread, and a test per characteristic. Needs the statistics module. On a small two-arm clinical trial: 90 patients.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/cohort-baseline/feature.png"/></item><item><title>Do richer countries live longer?</title><link>https://tyo-data.fr/templates/gapminder-exploration/</link><pubDate>Wed, 30 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/gapminder-exploration/</guid><description>Gapminder&amp;rsquo;s famous bubbles: income against life expectancy in 2007, each continent&amp;rsquo;s life expectancy since 1952, and the countries that gained the most. On the Gapminder data: 142 countries, 1952-2007.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/gapminder-exploration/feature.png"/></item><item><title>Do the measurements find the species?</title><link>https://tyo-data.fr/templates/living-species/</link><pubDate>Wed, 30 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/living-species/</guid><description>Four measures per penguin, grouped in three without looking at the species; then the groups set against the species they should find. Needs the statistics module. On the Palmer penguins (palmerpenguins, CC0): 333 penguins of three species.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/living-species/feature.png"/></item><item><title>Does the treatment delay the event?</title><link>https://tyo-data.fr/templates/cohort-survival/</link><pubDate>Wed, 30 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/cohort-survival/</guid><description>From dates to time to event, then Kaplan-Meier curves per arm with the log-rank test, the median survival and the share still alive at 6, 12 and 24 months. Needs the statistics module. On a small two-arm clinical trial: 90 patients.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/cohort-survival/feature.png"/></item><item><title>How do I see all the penguins on one map?</title><link>https://tyo-data.fr/templates/living-map/</link><pubDate>Wed, 30 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/living-map/</guid><description>Four measures cannot be drawn: three ways to put the penguins on two axes (PCA, an MDS that also weighs island and sex, UMAP), and how to judge a map. Needs the statistics module and the python-ml environment. On the Palmer penguins (palmerpenguins, CC0): 333 penguins of three species.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/living-map/feature.png"/></item><item><title>How do I write up the trial?</title><link>https://tyo-data.fr/templates/cohort-report/</link><pubDate>Wed, 30 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/cohort-report/</guid><description>The pieces of a trial&amp;rsquo;s results in one flow (baseline table, survival curves, median survival, survival at 12 and 24 months) and a Word report that assembles them, each section introduced and captioned. Needs the statistics module. On a small two-arm clinical trial: 90 patients.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/cohort-report/feature.png"/></item><item><title>When is it hot in Paris?</title><link>https://tyo-data.fr/templates/weather-paris-heat/</link><pubDate>Wed, 30 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/weather-paris-heat/</guid><description>Four years of daily temperatures: every day on a calendar, the seasons month by month, then the hot days counted per year. A workshop on dates: turn a day into its month or its year, then aggregate. Data: Météo-France, daily climatological data, station Paris-Montsouris, 2022 to 2025 (Licence Ouverte 2.0).</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/weather-paris-heat/feature.png"/></item><item><title>Where are my customers, by area?</title><link>https://tyo-data.fr/templates/territory-customers/</link><pubDate>Wed, 30 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/territory-customers/</guid><description>The shop&amp;rsquo;s customers counted per city and drawn where the cities are, then counted into the regions of France, each coloured by its revenue per customer. Needs the geo module. On the synthetic shop (180 customers in twelve cities) and the product&amp;rsquo;s map of the French regions.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/territory-customers/feature.png"/></item><item><title>Which measures go together?</title><link>https://tyo-data.fr/templates/living-measures/</link><pubDate>Wed, 30 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/living-measures/</guid><description>The penguins&amp;rsquo; four measures correlated two by two, over all penguins then within each species, where one relation changes sign; a heatmap clusters the measures by how alike they vary. On the Palmer penguins (palmerpenguins, CC0): 333 penguins of three species.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/living-measures/feature.png"/></item><item><title>Which species does this new penguin look like?</title><link>https://tyo-data.fr/templates/living-nearest/</link><pubDate>Wed, 30 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/living-nearest/</guid><description>Four penguins newly measured, typed by hand, each compared with the average profile of the known species: the nearest one, how far, and where they sit. On the Palmer penguins (palmerpenguins, CC0): 333 penguins of three species.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/living-nearest/feature.png"/></item><item><title>Am I on budget?</title><link>https://tyo-data.fr/templates/shop-budget/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-budget/</guid><description>The net revenue of each quarter against a budget typed in the flow: the two drawn over time, and the gap of each quarter, in euros and in percent. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-budget/feature.png"/></item><item><title>Can I trust this file?</title><link>https://tyo-data.fr/templates/shop-trust/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-trust/</guid><description>The raw file checked against written rules, errors and warnings, with a report of what breaks; then the fixes, a second check, and a gate that lets the rest run only on a file without errors. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-trust/feature.png"/></item><item><title>Do my customers form groups?</title><link>https://tyo-data.fr/templates/shop-segments/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-segments/</guid><description>Revenue, orders and average basket per customer, grouped by k-means: how many groups the data supports, who is in each, and where they sit. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-segments/feature.png"/></item><item><title>Do my groups really differ?</title><link>https://tyo-data.fr/templates/shop-compare/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-compare/</guid><description>Is an order worth more on the web, in the store or on the phone? The channels side by side, then a test per pair of channels says whether the difference is real. Needs the statistics module. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-compare/feature.png"/></item><item><title>Does each payment have its order?</title><link>https://tyo-data.fr/templates/shop-payments/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-payments/</guid><description>What each order billed against what was paid for it, both ways: the orders never paid, the payments for no known order, the orders paid a different amount. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-payments/feature.png"/></item><item><title>First steps: from raw sales to a chart</title><link>https://tyo-data.fr/templates/first-steps/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/first-steps/</guid><description>The basic gestures in one flow, step by step on the canvas: clean a messy column, fill a missing value, join two tables, filter, compute, summarize, draw. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/first-steps/feature.png"/></item><item><title>How do I tell my team every month?</title><link>https://tyo-data.fr/templates/shop-monthly-review/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-monthly-review/</guid><description>A monthly review that rebuilds itself: the key figures of the last three months and the revenue per channel, with a dashboard and a Word report that follow when the flow runs on next month&amp;rsquo;s data. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-monthly-review/feature.png"/></item><item><title>Is this month normal?</title><link>https://tyo-data.fr/templates/shop-month/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-month/</guid><description>The revenue of each month against what is usual for it: the three months before, and the same month last year. The months that stand out are listed. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-month/feature.png"/></item><item><title>What do my customers look like?</title><link>https://tyo-data.fr/templates/shop-customers/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-customers/</guid><description>From order lines to one row per customer: orders, revenue, average basket. Then the segments compared, in a Table 1 and one dot per customer. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-customers/feature.png"/></item><item><title>What is wrong in my transactions?</title><link>https://tyo-data.fr/templates/shop-anomalies/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-anomalies/</guid><description>Three leads side by side: the lines entered twice, the quantities absurd for their product, and the customers whose amounts swing far more than the others&amp;rsquo;. Each ends on the list of what to look at. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-anomalies/feature.png"/></item><item><title>What sells together?</title><link>https://tyo-data.fr/templates/shop-together/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-together/</guid><description>The baskets turned into one column per product: the combinations of the most bought products, and the strongest rules « who takes A also takes B ». Needs the statistics module. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-together/feature.png"/></item><item><title>Where do people go from one step to the next?</title><link>https://tyo-data.fr/templates/shop-journeys/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-journeys/</guid><description>Each customer&amp;rsquo;s main channel in 2024, then in 2025, and the flows between the two: who stayed, who moved to another channel, who came, who stopped. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-journeys/feature.png"/></item><item><title>Where does my revenue come from?</title><link>https://tyo-data.fr/templates/shop-revenue/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-revenue/</guid><description>The net revenue of 2025 by category and product: a treemap shows each one&amp;rsquo;s weight and share at a glance, and the ten products that weigh the most are listed. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-revenue/feature.png"/></item><item><title>Which days do we sell the most?</title><link>https://tyo-data.fr/templates/shop-days/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-days/</guid><description>Every day&amp;rsquo;s revenue on a calendar, then the mean revenue of each day of the week. A workshop on dates: a day without an order is a day at zero, not a missing day. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-days/feature.png"/></item><item><title>Which orders break my own rules?</title><link>https://tyo-data.fr/templates/shop-rules/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-rules/</guid><description>Two house rules checked on every order, a zone each: no store or phone order on a weekend, when the counter is closed; and no two orders of one customer on the same day. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-rules/feature.png"/></item><item><title>Who are my best customers?</title><link>https://tyo-data.fr/templates/shop-best-customers/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-best-customers/</guid><description>How recently, how often and how much each customer buys, cut into thirds; a segment by rules, from champions to lost; what each segment weighs in customers and in revenue; and the champions by name. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-best-customers/feature.png"/></item><item><title>Who pays late, and how late?</title><link>https://tyo-data.fr/templates/shop-late-payers/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://tyo-data.fr/templates/shop-late-payers/</guid><description>The days from each order to its payment, an unpaid one counted up to the last known date; a level by rules, from paid on time to final notice; and the orders to chase. On a synthetic sales dataset: one invented shop, 2024-2025.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tyo-data.fr/templates/shop-late-payers/feature.png"/></item></channel></rss>