Matryona visualized the clubs she goes to — dance, domra, and theater. To compare them, she chose six fun categories: how much she likes each club, how many performances she had this year, how many hours she practices each week, how heavy her backpack is, how many costumes she needs, and whether anyone in her family shares the same interests. She had to leave the cat out of the chart… even though he’s definitely the most artistic one at home. The project is made with modeling clay, thick paper, and markers — bright, creative, and very personal.

The project is called “My After-School Reading.” The data shows all the books actually read over four months. On the chart, the X-axis shows the months, the Y-axis shows how many books were read, and each bar represents a book.

This project is all about the infrastructure and statistics of our area. Together, we looked at a map and counted how many private houses, apartment buildings, shops, and other places there are. We also built little models out of Lego, and drew the village map on a big poster.

We visualized all the grades from the first quarter of 2025 using beads. Each bead stands for one grade, and each branch represents a school subject. We even added small charms on the branches to show which subject is which. 💚 Green beads are A’s: light green for easy assignments dark green for big tests 💙 Blue beads are B’s, using the same idea. ❤️ And the one red bead is the only C. In the end, we created a little “Tree of Knowledge” where you can clearly see how the grades are spread across different subjects.

e made a beaded visualization of the grades from the first quarter of the school year — and it turned into a bar chart made out of beads. Blue beads stand for B’s, and green beads stand for A’s. The subjects are arranged from the lowest average grade to the highest — the lower the average, the more attention that subject needs. We also kept difficulty in mind. For example, English and art both show an average of A, but English takes a lot more effort. You can also see something important in the chart: toward the end of the quarter, the grades started to drop a little. So the plan is simple — review some Russian language skills and definitely get some rest over the break.

We used a very fun dataset: tiny candies. We bought two packs, and Salavat sorted all the candies by color. At home, we found a table cover with a checkered pattern, which made it easy for him to line up the candies into neat columns. Then he counted how many candies were in each color column. The photo was taken from above, so the whole thing looks just like a candy bar chart.

The child made a pie chart to show how much he loves his favorite foods. He chose only the dishes he likes the most and called the project “My Yummy Favorites.” His mom helped by adding the labels.

The project is called “The Depths of the Subway.” Sergey Rizvanov, who is really interested in subways, created a hands-on model showing how deep the stations in the Yekaterinburg subway are. Using snack rings, rice, straws, foil, and stones he collected from a nature area near his city, he built a model of the tunnels and stairways. It shows the order of the stations and how deep each one is — from 6 to 43 meters underground. The stones represent the local ground and the history of the region. Sergey gathered the data from public sources and converted it to a 1:200 scale, turning simple numbers into a clear, creative story — and his very first data project.

We used an “infinity chart” shaped like the number 8 by decorating a big balloon. The data shows the child’s favorite types of toys: cats, dogs, and cars. We showed the percentage of each category and used different colors to make it clear which group of toys is the favorite.

Ksenia surveyed 37 girls from her class and choir using their Viber group chats. She asked them how many dresses they have in different colors, which accessories and shades they like, and which colors they don’t like at all. She also counted all the answers by hand and created a visualization using toy blocks, buttons, and rings. The most common dress colors were yellow, lavender, and pink. There were fewer red dresses — and not a single orange one! What’s funny is that several girls still said orange was their favorite color. All the pieces in the project are arranged in rainbow order, and at the end Ksyusha showed the top 6 least-favorite colors.

Daniil loves soccer and is collecting a sticker album of players. He sorted all his duplicate player stickers by team and turned them into a bar chart. On the horizontal axis, he placed the teams, and on the vertical axis, he showed how many player stickers from each team he has.

My name is Damira, and my daughter’s name is Chloe. We have a big family — 16 people — and Chloe decided to find out what kinds of pies everyone likes. It turned into a great excuse to call relatives in other countries, so the project became international! At first, we planned to make an edible visualization — to bake four pies and cut them like charts. But in the end, we created paper versions instead. That’s how a whole gallery of charts appeared: a classic pie chart, a “family quarters” chart, and even a funny example showing why 3D charts don’t work very well. The project turned into a story about data, family, and the joy of creating something together.

Kirill is really interested in space, so he made a chart comparing the diameters of the planets in the Solar System. For every 1,000 kilometers, he used a small Lego brick (like the ones from Classic or City sets). For every 10,000 kilometers, he used a larger Lego Duplo brick. He also compared the number of natural moons each planet has: 1 moon = 1 coin. It turned into a fun, hands-on way to see how different the planets really are.

В это работе сравниIn this project, the child compared peanut candies and milk chocolate candies. Counting them wasn’t fair because the numbers were different, so they decided to compare the total weight instead. The “analysis team” discovered something funny: some of the brown and yellow colors seem to “stick” to the packaging. In the yellow bag, there were way fewer yellow candies than brown ones. In the brown bag, there were almost no brown candies at all — but lots of yellow ones! So the conclusion was: if there were a green bag, it would probably have fewer green candies, but about the same number of yellow and brown ones.

Saw a pile of toys and decided to do a little analysis.

The data is the family members’ clothing items, sorted by color. She made statistics on the number of clothing colors for the whole family and a top 3 for each family member. In the end, they made pie charts laid out on a mirror, using the actual clothing.

A bar chart made from fallen leaves from a park shows the academic performance of the lyceum students in “Applied Mathematics.” In the old grading system, 1 is the best, 4 is the worst, and there was even a 0. During the tour, they told the story of how the teacher used to say: “Everything you do ends in zero. Sit down and write poems.” The idea came after visiting the Lyceum, and the project became a family effort. The child understood that without the context of the data, a chart can be misleading.

Yana noticed that in different parts of the park, the pattern of leaves underfoot is different; it depends on which trees grow nearby and drop their leaves. And she came up with the idea to make a visualization out of leaves from different trees, where the leaf pattern corresponds to the arrangement of different trees inside the park.

It was a family trip. We walked, relaxed, kept a journal, made a zine about the trip, and now also made a visualization.

A space map of games. On the screen of the drawn tablet, we see the universe of games. The size of a planet reflects the popularity of a game among the children. The dashboard is created from real data from a survey of classmates.

Found weather data for our city for different years on the internet. It turned out that such statistics do not exist in a clear form. We discussed with my parents why this might be the case. Then, using one of the years, I made a pie chart. First in Excel (to calculate the angles), then I drew it, because I wanted to make a picture :)

David does breakdance. We recorded data about his 3 rounds and the elements in them. Toprock — rays of a cap. 1 ray = 10 seconds. Footwork — the size of sneakers. Freezes — speakers. Power moves — rays of a spotlight.

Nicolas has been interested in space since childhood and dreams of life on other planets. When we watched the first webinar, he immediately decided to analyze the planets. At first, we wanted to make a comparison chart, but after drawing the first version, Nicolas was so inspired by the movement of the planets that he called the work “The Dance of the Planets.” For the data, we used two favorite books about space and Alice.

Statistics of the Ballon d’Or winners of the 21st century were analyzed. In the visualization, a player is shown whose elements change depending on the data filtering: the jersey is colored in the colors of the country, the emblem shows the club, the number on the back is the age at the time of receiving the award, the color of the shorts is the position (green — forward, orange — midfielder, red — defender), and the brightness of the leg shows which one is stronger. When selecting all years, an “ideal player” appeared: an Argentine, from the club Real, 28 years old, a forward, right-footed.

We studied the height of the tallest buildings in our city, chose the most important ones for each era, and found out how tall they were. We placed them on the drawing in chronological order, and it turned out that the bell towers of churches were taller than the buildings constructed in the first years of Soviet rule. And at the beginning of the 21st century, the buildings for the first time became taller than 200 meters.

We counted the cosmetic bottles that we have in the house. All the bottles were divided by color, and we counted how many bottles of each color there were. For the chart, we chose the shape of a lipstick to represent the cosmetics of each color. The bigger the lipstick, the more bottles of that color. The color of the lipstick shows the color of the bottles that belong to that group. Above each lipstick, we wrote how many cosmetic bottles of each color we have in our house.

We prepared a questionnaire to measure the level of happiness in the class. My daughter’s classmates filled it out, and then we entered the data into Excel — my daughter learned how difficult it can be to read someone else’s handwriting 😅. The average level of happiness was 8.4 out of 10: for boys — 8.3, for girls — 8.6. For the visualization, we chose dandelions: the number of “parachutes” reflects the level of happiness, and the length of the roots shows the factors that influence it. The answers to the question “What is happiness?” were divided into groups: people, feelings, actions, and no answer — to show how differently boys and girls understand happiness.

Top favorite dinosaurs of my son.

Ksenia studied her class: age, eye color, height, favorite color, season of the year, and whether they have brothers, sisters, and pets. Instead of charts, she made drawing-visualizations: eyes of different sizes by color, flowers for family composition, little figures for height, a scarf for favorite colors, and pets are shown with separate symbols. The favorite season is shown as a sun: the length of the rays is the number of children, and a dot near a ray means a match with the season of birth. Summer is in the winner.

For each book read in the summer, we drew a picture and sorted them by genre. Now we know which ones we read the most :) It probably could have been done digitally too (the size was too large for a photo, so we had to assemble it on the computer). But drawing still took longer!

I decided to analyze my collection of 151 markers and arranged the data as a marker city. Each color became a house, and the markers are its windows. The number of markers determines the height of the building, and the shape of the window shows the brand (there are nine). If a window has curtains, it means the marker writes poorly. The type of tip (chisel, brush, bullet) is shown as a chimney, whose height shows the share of that type, and the percentages are written as “smoke.” The houses are arranged in descending order — like a bar chart. It turned out that I have the most gray markers. The project helped me study data visualization and my collection in a new way.

In the project, I recorded my mood throughout the day from 6 a.m. to 9 p.m. I decided to visualize it on a diary page, because it is what I associate the most with a week.

4–6 months ago, Tima decided to collect a series of stickers from Turbo gum. While participating in the Data2Kids program and after the contest was announced, it was decided to use a homemade poster with Turbo stickers as the data source. After a very long time thinking, we decided to collect data from the stickers: the car brand, the year of production, the maximum speed, and the car color. We tried combining three or more criteria to build a chart. In the end, we settled on the car brand, the speed, and the year of production, and decided to make a “temperature” version with a timeline. It turned out pretty cool.

My family through the eyes of a beginner analyst.

We spent an enjoyable time with the child. An interesting autumn project turned out. We collected leaves and other materials for the contest work, laid them out on cardboard first and came up with a description, took photos, and removed the background from the pictures. I introduced the child to my work, and she quickly got the hang of it and repeated the actions.

I like programming in Scratch. When my dad told me about the contest, I decided to make a program that builds charts on its own. It has buttons: start, table, and chart. The user enters the names of the categories and their quantities, and the program creates a chart from the entered data. Not everything could be implemented in Scratch, so next year I want to try writing it in Python. I posted the program on Scratch online: https://scratch.mit.edu/projects/1237868967

After completing the data course, the child now talks only about visualization and charts. My son decided to draw in Paint how he took the course and what he especially liked. He tried to do it in Excel and Word, but he doesn’t have the knowledge to make it there. I hope that doing it in Paint was also allowed. He doesn’t know how to use other programs. Thank you for the interesting course! We really hope that you will like his drawing.

After a long time choosing a topic, Ksenia got inspired during dinner — by a watermelon 🍉 — and dedicated the project to her favorite fruit. We collected facts and arranged them in Paint and Excel. The visualization begins with the top 5 varieties: each watermelon has its own color of rind, flesh, and seeds, the size depends on the weight, and the circles show the region where it was grown. Then come the charts: – Producing countries — the top 10 in the world – Regions — a pie-chart watermelon, where the “flesh” reflects the harvest, and the “tail” marks the leader – Prices in stores — bars in descending order with the cheapest one highlighted There is a block with interesting facts and “watermelon” circles, as well as visualizations of colors, shapes, calories, and the “relatives” of the watermelon — from pumpkin to cucumber.

This is our second project (the main one is The Dance of the Planets, a drawing), and here we decided to transfer the reading diary into an online format and also add movies and games. At the same time, we were able to see what there is more of — books, movies, or games. My son really enjoyed moving objects in Miro and searching for pictures online by himself. We also practiced English (he held down the right mouse button and looked for “copy image”). The project turned out to be useful in terms of working with the computer, as well as calming me down — the child really does read more than he watches.

Information about the children from the preschool (a private preschool with children of different ages). The child’s work is independent both in choosing the type of charts and the data labels, as well as in writing the text.

I love playing Colorful Stage (Sekai) — a musical anime game with six groups and lots of characters. Each one has their own hair color and costumes of different levels (from 1 to 4 stars). I decided to analyze the game: I counted how many costumes I have, how many characters there are by hair color, gender, and groups, and entered everything into an Excel table. Then, together with my mom, who is a BI analyst, I created my first dashboard — I chose the colors for the charts and arranged everything like a real project. It’s a pity that I can’t attach a file, but the dashboard can be viewed by the link.

We studied the factors that influence the number of traffic accidents in different countries. It all started when my son, while we were on the road, wondered why in Europe people get their driver’s licenses later than in the USA — that’s how the project topic appeared. We collected the traffic accident data together using DeepSeek (learning prompting along the way), my son did the calculations in Excel, and the visualization in Power BI. I only showed him how to write measures. Thanks to the contest for the inspiration — children really are capable of more than we think!

My name is Sergey Anisimov, I am 10 years old. I run the channel @serega.edits_bmv on Yappy and decided to take part in the contest after the Data2kids broadcast. I made a pie chart called “How My Family Likes Their Fried Eggs” in the form of a frying pan with breakfast. I photographed the process, added labels in my phone’s editor, used a background from the contest materials, and edited an explanatory video in CapCut.

The project uses data on school attendance from September 1 to October 25, 2025, with a 5-minute step. Tardiness, illnesses, absences, and field trips were taken into account, and grades were added. Little houses represent arriving at school: their color and position show the time of arrival. A car represents a field trip, the houses beyond the line and the bridge represent absences. The trees reflect the grades. My son created the visualization in SketchUp on his own; I only helped with the program. The data was exported from MESH, and the source file can be viewed if desired.

Zlata counted how many seasons and episodes there are in her favorite anime series, how many minutes they run, and then calculated how many hours it would take to rewatch each of the series. She made a pie chart in percentages showing which series is longer. how many hours there are in a month, how much she approximately sleeps, converted the anime hours into days, and concluded that to rewatch the anime she would need 4.6 days.

This project is a continuation of Yana’s craft with autumn leaves. We decided to create a web application where you can collect “leaf maps” of different parks. I helped with the first prompt in Cursor, and Yana added the chart showing the number of trees and designed the buttons and headings herself. The application allows you to mark trees on the map in the form of leaves: you can place them freely or according to a real map of the park, and the chart automatically counts the added leaf-trees. Try it yourself: https://datalaboratory.ru/data2kids/

We used the Classaper board to visualize Vasya’s experiment: how many days it would take his younger brother to learn the names of the fingers. Vasya named the fingers in different orders and marked the correct answers on the outlined hand — first on paper, then in Classaper. The table recorded 1s and 0s — correct or incorrect. The experiment continued until the brother answered without mistakes for several days in a row. In the end, Vasya determined how many days it took to develop the skill and which fingers were learned faster.

We used data about the height of the buildings, the ideas for the appearance of the buildings, and also information about the chief architect. The chart shows the height of the buildings. Full project: https://drive.google.com/file/d/19fPXd-RsitzEaIAbfEI6Eyv9vLWtkXJk/view?usp=drive_link

In the project, in the game Lineage 2, we drew a chart where each item on the ground represents one month of Maria’s life, with special events in her life. At first, we wanted to encode every week, but unfortunately, after some time an item dropped on the ground would disappear and we didn’t have time (more than 500 weeks), so in the end we encoded each month :)

Fedor’s data is maple leaves collected in a specific place, and the whole idea of the project was born during a walk. The main message is which color appears the most in the leaves on a particular day. He sorted them by color (please don’t judge strictly for color accuracy — he has a color perception disorder, so I think a little allowance can be made here), counted them, and carried out his research in Google Sheets and Google Slides on a tablet with minimal support from me. The main value is his own independent motivation — he did everything himself and with interest.

The original data is toy cars that were divided by color. UNO cards were used as the numbers. As a result, it became clearly visible which color had the most cars. The data was transferred into a table and charts were created.

Diana 8 y.o.

Diana 8 y.o.

Kostya 8 y.o.

Denis 10 y.o.

Misha 10 y.o.

Tanya 7 y.o.

Диана 8 y.o.

Diana 8 y.o.

Kostya 9 y.o.

Sergei 7 y.o.

Daria 10 y.o.

Ksenia 7 y.o.

Esenia 8 y.o.

Marta 9 y.o.

Marta 9 y.o.

Marta 9 y.o.

Marta 9 y.o.

David 8 y.o.

Maksim 6 y.o.

Timofey 5 y.o.

Matryona 8 y.o.

Timofey 5 y.o.

Michael 8 y.o.

Sofia 10 y.o., Veronika 7 y.o., Christina 36 y.o.

from Ksyu

Kirill 7 y.o.

Vasya 10 y.o.

Raisa 10 y.o.

Raisa 10 y.o.

Raisa 10 y.o.

Raisa 10 y.o.

Raisa 10 y.o.

Vladislava 10 y.o.

Lena 11 y.o.

from doodoo

Thais 7 y.o.

Thais 7 y.o.

from Yasha

Diana 8 y.o.

Diana 8 y.o.

Marta 9 y.o.

from Yasha