{"id":6019,"date":"2026-04-23T21:07:14","date_gmt":"2026-04-23T21:07:14","guid":{"rendered":"https:\/\/dalelane.co.uk\/blog\/?p=6019"},"modified":"2026-04-23T21:07:15","modified_gmt":"2026-04-23T21:07:15","slug":"what-do-people-use-to-access-machine-learning-for-kids","status":"publish","type":"post","link":"https:\/\/dalelane.co.uk\/blog\/?p=6019","title":{"rendered":"What do people use to access Machine Learning for Kids?"},"content":{"rendered":"

I use Cabin<\/a> for analytics on Machine Learning for Kids<\/a>. (If you’re not familiar with them, their blog post on how to do analytics in a way that prioritizes user privacy<\/a> is worth a read – the approach is simple but elegant. And you can see a demo of what a Cabin dashboard looks like<\/a>.<\/em>).<\/p>\n

I thought it might be interesting to share what Cabin tells me about who has used Machine Learning for Kids over the last seven days.<\/p>\n

What Operating Systems are people using?<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Operating System<\/td>\nUniques<\/td>\n<\/tr>\n<\/thead>\n
Windows<\/td>\n404,873<\/td>\n<\/tr>\n
iOS<\/td>\n132,971<\/td>\n<\/tr>\n
macOS<\/td>\n67,848<\/td>\n<\/tr>\n
Android<\/td>\n55,176<\/td>\n<\/tr>\n
Mac OS<\/td>\n35,743<\/td>\n<\/tr>\n
Chrome OS<\/td>\n23,536<\/td>\n<\/tr>\n
Linux<\/td>\n21,852<\/td>\n<\/tr>\n
Ubuntu<\/td>\n10,780<\/td>\n<\/tr>\n
Chromium OS<\/td>\n8,484<\/td>\n<\/tr>\n
HarmonyOS<\/td>\n408<\/td>\n<\/tr>\n
Raspbian<\/td>\n31<\/td>\n<\/tr>\n
OpenHarmony<\/td>\n17<\/td>\n<\/tr>\n
PlayStation<\/td>\n13<\/td>\n<\/tr>\n
Tizen<\/td>\n10<\/td>\n<\/tr>\n
android<\/td>\n3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

At work, I’m mostly surrounded by MacBooks and don’t often see a Windows computer. It’s easy to assume that is normal, so this is a reminder that I’m in a bit of a bubble. Windows<\/strong> is still dominant.<\/p>\n

Interesting to see “macOS<\/strong>” and “Mac OS<\/strong>” separate (I was tempted to combine them, but I decided to leave the data I get from Cabin as-is<\/em>.)<\/p>\n

My favourite part of looking at this is wondering who are the thirteen people who visited my site from a PlayStation<\/strong>???<\/p>\n

<\/p>\n

What Browsers are people using?<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Browser<\/td>\nUniques<\/td>\n<\/tr>\n<\/thead>\n
Chrome<\/td>\n371,578<\/td>\n<\/tr>\n
Edge<\/td>\n113,331<\/td>\n<\/tr>\n
Mobile Safari<\/td>\n89,409<\/td>\n<\/tr>\n
Safari<\/td>\n80,781<\/td>\n<\/tr>\n
Mobile Chrome<\/td>\n32,831<\/td>\n<\/tr>\n
Firefox<\/td>\n30,271<\/td>\n<\/tr>\n
GSA<\/td>\n24,375<\/td>\n<\/tr>\n
Opera<\/td>\n4,944<\/td>\n<\/tr>\n
Samsung Internet<\/td>\n3,787<\/td>\n<\/tr>\n
Samsung Browser<\/td>\n1,986<\/td>\n<\/tr>\n
Yandex<\/td>\n1,973<\/td>\n<\/tr>\n
Snapchat<\/td>\n1,039<\/td>\n<\/tr>\n
Chrome WebView<\/td>\n784<\/td>\n<\/tr>\n
Huawei Browser<\/td>\n778<\/td>\n<\/tr>\n
Instagram<\/td>\n749<\/td>\n<\/tr>\n
WebKit<\/td>\n683<\/td>\n<\/tr>\n
Android Browser<\/td>\n663<\/td>\n<\/tr>\n
NAVER<\/td>\n454<\/td>\n<\/tr>\n
Avast Secure Browser<\/td>\n337<\/td>\n<\/tr>\n
WeChat<\/td>\n305<\/td>\n<\/tr>\n
Mobile Firefox<\/td>\n249<\/td>\n<\/tr>\n
MIUI Browser<\/td>\n223<\/td>\n<\/tr>\n
Facebook<\/td>\n208<\/td>\n<\/tr>\n
Whale<\/td>\n174<\/td>\n<\/tr>\n
Electron<\/td>\n170<\/td>\n<\/tr>\n
QQBrowser<\/td>\n126<\/td>\n<\/tr>\n
AVG Secure Browser<\/td>\n111<\/td>\n<\/tr>\n
DuckDuckGo<\/td>\n103<\/td>\n<\/tr>\n
Vivo Browser<\/td>\n93<\/td>\n<\/tr>\n
Baidu<\/td>\n89<\/td>\n<\/tr>\n
Quark<\/td>\n89<\/td>\n<\/tr>\n
HeyTap<\/td>\n80<\/td>\n<\/tr>\n
Opera Touch<\/td>\n50<\/td>\n<\/tr>\n
Chromium<\/td>\n49<\/td>\n<\/tr>\n
Sogou Explorer<\/td>\n48<\/td>\n<\/tr>\n
KAKAOTALK<\/td>\n36<\/td>\n<\/tr>\n
Zalo<\/td>\n33<\/td>\n<\/tr>\n
Silk<\/td>\n29<\/td>\n<\/tr>\n
Ecosia<\/td>\n21<\/td>\n<\/tr>\n
Smart Lenovo Browser<\/td>\n21<\/td>\n<\/tr>\n
Line<\/td>\n20<\/td>\n<\/tr>\n
LinkedIn<\/td>\n19<\/td>\n<\/tr>\n
TikTok<\/td>\n18<\/td>\n<\/tr>\n
MetaSr<\/td>\n12<\/td>\n<\/tr>\n
Opera GX<\/td>\n11<\/td>\n<\/tr>\n
UCBrowser<\/td>\n10<\/td>\n<\/tr>\n
PaleMoon<\/td>\n5<\/td>\n<\/tr>\n
baiduboxapp<\/td>\n4<\/td>\n<\/tr>\n
360<\/td>\n3<\/td>\n<\/tr>\n
Vivaldi<\/td>\n3<\/td>\n<\/tr>\n
IE<\/td>\n3<\/td>\n<\/tr>\n
QQ<\/td>\n3<\/td>\n<\/tr>\n
Twitter<\/td>\n2<\/td>\n<\/tr>\n
Oculus Browser<\/td>\n2<\/td>\n<\/tr>\n
Brave<\/td>\n1<\/td>\n<\/tr>\n
Bing<\/td>\n1<\/td>\n<\/tr>\n
Sleipnir<\/td>\n1<\/td>\n<\/tr>\n
Comodo Dragon<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

This is a loooong list – and I haven’t heard of some of them before!<\/p>\n

Unsurprising that Chrome<\/strong> is so high up the list. More surprising that two users used a virtual reality headset! (Oculus Browser<\/strong>)<\/p>\n

What Screen Size do people use?<\/h4>\n\n\n\n\n\n\n\n
Screen size<\/td>\nPercentage<\/td>\n<\/tr>\n<\/thead>\n
1024px – 2400px<\/td>\n57.8<\/td>\n<\/tr>\n
2400px or more<\/td>\n28.8<\/td>\n<\/tr>\n
1024px or less<\/td>\n13.4<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

This one surprised me. Nearly thirty percent of users have a huge monitor!<\/p>\n

It’s a shame that the 58% category is so broad – there is a huge difference between 1024px and 2400px.<\/p>\n

What Device Types do people use?<\/h4>\n\n\n\n\n\n\n\n
Device<\/td>\nPercentage<\/td>\n<\/tr>\n<\/thead>\n
Desktop<\/td>\n75.2<\/td>\n<\/tr>\n
Mobile<\/td>\n20.9<\/td>\n<\/tr>\n
Tablet<\/td>\n3.9<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The nature of the projects<\/a> that students make on the site (working for up to an hour in Scratch) means that I expect it to skew towards desktops and laptops. This one was roughly what I expected.<\/p>\n

What Language do users use?<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Language<\/td>\nUniques<\/td>\n<\/tr>\n<\/thead>\n
English<\/td>\n330,229<\/td>\n<\/tr>\n
Arabic<\/td>\n205,287<\/td>\n<\/tr>\n
Spanish<\/td>\n71,151<\/td>\n<\/tr>\n
Chinese<\/td>\n33,385<\/td>\n<\/tr>\n
German<\/td>\n30,202<\/td>\n<\/tr>\n
Korean<\/td>\n17,271<\/td>\n<\/tr>\n
Italian<\/td>\n12,002<\/td>\n<\/tr>\n
French<\/td>\n7,575<\/td>\n<\/tr>\n
Turkish<\/td>\n7,573<\/td>\n<\/tr>\n
Russian<\/td>\n7,514<\/td>\n<\/tr>\n
Catalan<\/td>\n6,177<\/td>\n<\/tr>\n
Greek<\/td>\n5,658<\/td>\n<\/tr>\n
Vietnamese<\/td>\n4,610<\/td>\n<\/tr>\n
Portuguese<\/td>\n4,098<\/td>\n<\/tr>\n
Polish<\/td>\n3,090<\/td>\n<\/tr>\n
Indonesian<\/td>\n2,746<\/td>\n<\/tr>\n
Czech<\/td>\n2,542<\/td>\n<\/tr>\n
Romanian<\/td>\n1,649<\/td>\n<\/tr>\n
Lithuanian<\/td>\n1,340<\/td>\n<\/tr>\n
Japanese<\/td>\n1,250<\/td>\n<\/tr>\n
Ukrainian<\/td>\n975<\/td>\n<\/tr>\n
Dutch<\/td>\n752<\/td>\n<\/tr>\n
Thai<\/td>\n600<\/td>\n<\/tr>\n
Hebrew<\/td>\n499<\/td>\n<\/tr>\n
Danish<\/td>\n448<\/td>\n<\/tr>\n
Swedish<\/td>\n443<\/td>\n<\/tr>\n
Croatian<\/td>\n438<\/td>\n<\/tr>\n
Estonian<\/td>\n434<\/td>\n<\/tr>\n
Hungarian<\/td>\n261<\/td>\n<\/tr>\n
Slovak<\/td>\n219<\/td>\n<\/tr>\n
Persian<\/td>\n203<\/td>\n<\/tr>\n
Serbian (Cyrillic)<\/td>\n139<\/td>\n<\/tr>\n
Slovenian<\/td>\n119<\/td>\n<\/tr>\n
Galician<\/td>\n105<\/td>\n<\/tr>\n
Uzbek<\/td>\n69<\/td>\n<\/tr>\n
Bulgarian<\/td>\n69<\/td>\n<\/tr>\n
Finnish<\/td>\n68<\/td>\n<\/tr>\n
Mongolian<\/td>\n62<\/td>\n<\/tr>\n
Norwegian Bokmal<\/td>\n39<\/td>\n<\/tr>\n
Kazakh<\/td>\n34<\/td>\n<\/tr>\n
Basque<\/td>\n30<\/td>\n<\/tr>\n
Welsh<\/td>\n29<\/td>\n<\/tr>\n
Hindi<\/td>\n28<\/td>\n<\/tr>\n
Latvian<\/td>\n27<\/td>\n<\/tr>\n
Malay<\/td>\n22<\/td>\n<\/tr>\n
Marathi<\/td>\n13<\/td>\n<\/tr>\n
Tamil<\/td>\n13<\/td>\n<\/tr>\n
Albanian<\/td>\n12<\/td>\n<\/tr>\n
Burmese<\/td>\n12<\/td>\n<\/tr>\n
Azerbaijani<\/td>\n11<\/td>\n<\/tr>\n
Gujarati<\/td>\n7<\/td>\n<\/tr>\n
Afrikaans<\/td>\n7<\/td>\n<\/tr>\n
Bengali<\/td>\n7<\/td>\n<\/tr>\n
Icelandic<\/td>\n7<\/td>\n<\/tr>\n
Armenian<\/td>\n7<\/td>\n<\/tr>\n
Amharic<\/td>\n6<\/td>\n<\/tr>\n
Georgian<\/td>\n6<\/td>\n<\/tr>\n
Yoruba<\/td>\n6<\/td>\n<\/tr>\n
Quechua<\/td>\n5<\/td>\n<\/tr>\n
Khmer<\/td>\n5<\/td>\n<\/tr>\n
Telugu<\/td>\n5<\/td>\n<\/tr>\n
Swiss German<\/td>\n4<\/td>\n<\/tr>\n
Bosnian<\/td>\n4<\/td>\n<\/tr>\n
Najdi Arabic<\/td>\n4<\/td>\n<\/tr>\n
ml<\/td>\n4<\/td>\n<\/tr>\n
ne<\/td>\n3<\/td>\n<\/tr>\n
Norwegian<\/td>\n3<\/td>\n<\/tr>\n
rwk<\/td>\n3<\/td>\n<\/tr>\n
Oromo<\/td>\n3<\/td>\n<\/tr>\n
Maori<\/td>\n2<\/td>\n<\/tr>\n
chm<\/td>\n2<\/td>\n<\/tr>\n
iw<\/td>\n2<\/td>\n<\/tr>\n
Scottish Gaelic<\/td>\n2<\/td>\n<\/tr>\n
Urdu<\/td>\n2<\/td>\n<\/tr>\n
Xhosa<\/td>\n2<\/td>\n<\/tr>\n
Luxembourgish<\/td>\n2<\/td>\n<\/tr>\n
ksh<\/td>\n2<\/td>\n<\/tr>\n
chrome<\/td>\n2<\/td>\n<\/tr>\n
Occitan<\/td>\n1<\/td>\n<\/tr>\n
Serbo-Croatian<\/td>\n1<\/td>\n<\/tr>\n
Komi<\/td>\n1<\/td>\n<\/tr>\n
Belarusian<\/td>\n1<\/td>\n<\/tr>\n
Kyrgyz<\/td>\n1<\/td>\n<\/tr>\n
Corsican<\/td>\n1<\/td>\n<\/tr>\n
Dhivehi<\/td>\n1<\/td>\n<\/tr>\n
ewo<\/td>\n1<\/td>\n<\/tr>\n
scn<\/td>\n1<\/td>\n<\/tr>\n
Sorani (Kurdish)<\/td>\n1<\/td>\n<\/tr>\n
Sundanese<\/td>\n1<\/td>\n<\/tr>\n
Oriya<\/td>\n1<\/td>\n<\/tr>\n
Sindhi<\/td>\n1<\/td>\n<\/tr>\n
Filipino<\/td>\n1<\/td>\n<\/tr>\n
Punjabi<\/td>\n1<\/td>\n<\/tr>\n
Aymara<\/td>\n1<\/td>\n<\/tr>\n
Kannada<\/td>\n1<\/td>\n<\/tr>\n
Pashto<\/td>\n1<\/td>\n<\/tr>\n
Igbo<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

This was, disappointingly, more skewed towards English than I expected. There is a very long tail, with a few languages that I hadn’t heard of before!<\/p>\n

What Countries are users from?<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Country<\/td>\nUniques<\/td>\n<\/tr>\n<\/thead>\n
Saudi Arabia<\/td>\n254,992<\/td>\n<\/tr>\n
United Kingdom<\/td>\n75,632<\/td>\n<\/tr>\n
Spain<\/td>\n54,847<\/td>\n<\/tr>\n
India<\/td>\n45,255<\/td>\n<\/tr>\n
United Arab Emirates<\/td>\n32,781<\/td>\n<\/tr>\n
United States<\/td>\n29,434<\/td>\n<\/tr>\n
Germany<\/td>\n23,836<\/td>\n<\/tr>\n
Hong Kong<\/td>\n20,789<\/td>\n<\/tr>\n
Mexico<\/td>\n19,449<\/td>\n<\/tr>\n
Korea (South)<\/td>\n18,798<\/td>\n<\/tr>\n
China<\/td>\n14,248<\/td>\n<\/tr>\n
Indonesia<\/td>\n13,208<\/td>\n<\/tr>\n
Italy<\/td>\n13,117<\/td>\n<\/tr>\n
Viet Nam<\/td>\n8,817<\/td>\n<\/tr>\n
Greece<\/td>\n8,466<\/td>\n<\/tr>\n
Turkey<\/td>\n8,423<\/td>\n<\/tr>\n
Singapore<\/td>\n6,641<\/td>\n<\/tr>\n
Austria<\/td>\n6,292<\/td>\n<\/tr>\n
Pakistan<\/td>\n4,611<\/td>\n<\/tr>\n
France<\/td>\n4,600<\/td>\n<\/tr>\n
Russian Federation<\/td>\n4,123<\/td>\n<\/tr>\n
Canada<\/td>\n3,988<\/td>\n<\/tr>\n
Romania<\/td>\n3,878<\/td>\n<\/tr>\n
Egypt<\/td>\n3,811<\/td>\n<\/tr>\n
Malaysia<\/td>\n3,622<\/td>\n<\/tr>\n
New Zealand (Aotearoa)<\/td>\n3,571<\/td>\n<\/tr>\n
Poland<\/td>\n3,431<\/td>\n<\/tr>\n
Australia<\/td>\n3,328<\/td>\n<\/tr>\n
Brazil<\/td>\n3,185<\/td>\n<\/tr>\n
Czech Republic<\/td>\n2,900<\/td>\n<\/tr>\n
Colombia<\/td>\n2,809<\/td>\n<\/tr>\n
Thailand<\/td>\n2,713<\/td>\n<\/tr>\n
Japan<\/td>\n2,405<\/td>\n<\/tr>\n
Portugal<\/td>\n2,189<\/td>\n<\/tr>\n
Switzerland<\/td>\n2,106<\/td>\n<\/tr>\n
Kenya<\/td>\n2,062<\/td>\n<\/tr>\n
Lithuania<\/td>\n1,891<\/td>\n<\/tr>\n
Macau<\/td>\n1,875<\/td>\n<\/tr>\n
Iran<\/td>\n1,856<\/td>\n<\/tr>\n
Nigeria<\/td>\n1,537<\/td>\n<\/tr>\n
Jordan<\/td>\n1,422<\/td>\n<\/tr>\n
Ukraine<\/td>\n1,421<\/td>\n<\/tr>\n
Taiwan<\/td>\n1,313<\/td>\n<\/tr>\n
Morocco<\/td>\n1,312<\/td>\n<\/tr>\n
Argentina<\/td>\n1,295<\/td>\n<\/tr>\n
Netherlands<\/td>\n1,279<\/td>\n<\/tr>\n
Kazakhstan<\/td>\n1,276<\/td>\n<\/tr>\n
Qatar<\/td>\n1,257<\/td>\n<\/tr>\n
Lebanon<\/td>\n1,256<\/td>\n<\/tr>\n
Algeria<\/td>\n1,184<\/td>\n<\/tr>\n
Ireland<\/td>\n1,170<\/td>\n<\/tr>\n
Peru<\/td>\n1,160<\/td>\n<\/tr>\n
Sri Lanka<\/td>\n1,099<\/td>\n<\/tr>\n
Moldova<\/td>\n1,045<\/td>\n<\/tr>\n
Chile<\/td>\n1,019<\/td>\n<\/tr>\n
Mongolia<\/td>\n984<\/td>\n<\/tr>\n
Bangladesh<\/td>\n833<\/td>\n<\/tr>\n
Ecuador<\/td>\n807<\/td>\n<\/tr>\n
Bermuda<\/td>\n785<\/td>\n<\/tr>\n
Israel<\/td>\n781<\/td>\n<\/tr>\n
Sweden<\/td>\n740<\/td>\n<\/tr>\n
South Africa<\/td>\n710<\/td>\n<\/tr>\n
Tunisia<\/td>\n695<\/td>\n<\/tr>\n
Belgium<\/td>\n694<\/td>\n<\/tr>\n
Bulgaria<\/td>\n650<\/td>\n<\/tr>\n
Ghana<\/td>\n575<\/td>\n<\/tr>\n
Estonia<\/td>\n565<\/td>\n<\/tr>\n
Uzbekistan<\/td>\n564<\/td>\n<\/tr>\n
Denmark<\/td>\n528<\/td>\n<\/tr>\n
Armenia<\/td>\n524<\/td>\n<\/tr>\n
Myanmar<\/td>\n477<\/td>\n<\/tr>\n
Croatia (Hrvatska)<\/td>\n467<\/td>\n<\/tr>\n
Philippines<\/td>\n443<\/td>\n<\/tr>\n
Uruguay<\/td>\n440<\/td>\n<\/tr>\n
Luxembourg<\/td>\n433<\/td>\n<\/tr>\n
Senegal<\/td>\n352<\/td>\n<\/tr>\n
Kuwait<\/td>\n349<\/td>\n<\/tr>\n
Oman<\/td>\n348<\/td>\n<\/tr>\n
Serbia<\/td>\n335<\/td>\n<\/tr>\n
GG<\/td>\n333<\/td>\n<\/tr>\n
Guatemala<\/td>\n329<\/td>\n<\/tr>\n
Bahrain<\/td>\n321<\/td>\n<\/tr>\n
Aruba<\/td>\n314<\/td>\n<\/tr>\n
Kyrgyzstan<\/td>\n312<\/td>\n<\/tr>\n
Slovak Republic<\/td>\n289<\/td>\n<\/tr>\n
Albania<\/td>\n271<\/td>\n<\/tr>\n
Venezuela<\/td>\n264<\/td>\n<\/tr>\n
Cyprus<\/td>\n255<\/td>\n<\/tr>\n
Nepal<\/td>\n254<\/td>\n<\/tr>\n
Ethiopia<\/td>\n252<\/td>\n<\/tr>\n
Hungary<\/td>\n251<\/td>\n<\/tr>\n
Georgia<\/td>\n246<\/td>\n<\/tr>\n
Maldives<\/td>\n241<\/td>\n<\/tr>\n
Malta<\/td>\n241<\/td>\n<\/tr>\n
Cambodia<\/td>\n239<\/td>\n<\/tr>\n
Uganda<\/td>\n238<\/td>\n<\/tr>\n
Yemen<\/td>\n231<\/td>\n<\/tr>\n
Finland<\/td>\n222<\/td>\n<\/tr>\n
Tanzania<\/td>\n210<\/td>\n<\/tr>\n
Syria<\/td>\n208<\/td>\n<\/tr>\n
XK<\/td>\n198<\/td>\n<\/tr>\n
Iraq<\/td>\n195<\/td>\n<\/tr>\n
Honduras<\/td>\n173<\/td>\n<\/tr>\n
Bosnia and Herzegovina<\/td>\n170<\/td>\n<\/tr>\n
Belarus<\/td>\n169<\/td>\n<\/tr>\n
Slovenia<\/td>\n166<\/td>\n<\/tr>\n
Puerto Rico<\/td>\n154<\/td>\n<\/tr>\n
Guyana<\/td>\n134<\/td>\n<\/tr>\n
El Salvador<\/td>\n134<\/td>\n<\/tr>\n
Norway<\/td>\n132<\/td>\n<\/tr>\n
Latvia<\/td>\n119<\/td>\n<\/tr>\n
PS<\/td>\n118<\/td>\n<\/tr>\n
Panama<\/td>\n114<\/td>\n<\/tr>\n
Bolivia<\/td>\n112<\/td>\n<\/tr>\n
Azerbaijan<\/td>\n111<\/td>\n<\/tr>\n
Dominican Republic<\/td>\n98<\/td>\n<\/tr>\n
Nicaragua<\/td>\n96<\/td>\n<\/tr>\n
New Caledonia<\/td>\n90<\/td>\n<\/tr>\n
Mauritius<\/td>\n86<\/td>\n<\/tr>\n
Unknown<\/td>\n74<\/td>\n<\/tr>\n
Guinea<\/td>\n73<\/td>\n<\/tr>\n
Zambia<\/td>\n64<\/td>\n<\/tr>\n
Paraguay<\/td>\n57<\/td>\n<\/tr>\n
Macedonia<\/td>\n50<\/td>\n<\/tr>\n
Botswana<\/td>\n46<\/td>\n<\/tr>\n
Haiti<\/td>\n44<\/td>\n<\/tr>\n
Iceland<\/td>\n44<\/td>\n<\/tr>\n
Trinidad and Tobago<\/td>\n41<\/td>\n<\/tr>\n
Jamaica<\/td>\n41<\/td>\n<\/tr>\n
Costa Rica<\/td>\n39<\/td>\n<\/tr>\n
Cameroon<\/td>\n37<\/td>\n<\/tr>\n
ME<\/td>\n36<\/td>\n<\/tr>\n
Liberia<\/td>\n31<\/td>\n<\/tr>\n
Libya<\/td>\n29<\/td>\n<\/tr>\n
Rwanda<\/td>\n28<\/td>\n<\/tr>\n
Laos<\/td>\n25<\/td>\n<\/tr>\n
Reunion<\/td>\n24<\/td>\n<\/tr>\n
Guadeloupe<\/td>\n24<\/td>\n<\/tr>\n
Mauritania<\/td>\n23<\/td>\n<\/tr>\n
JE<\/td>\n19<\/td>\n<\/tr>\n
Cote D’Ivoire (Ivory Coast)<\/td>\n17<\/td>\n<\/tr>\n
Sudan<\/td>\n17<\/td>\n<\/tr>\n
Zimbabwe<\/td>\n15<\/td>\n<\/tr>\n
CD<\/td>\n14<\/td>\n<\/tr>\n
Benin<\/td>\n12<\/td>\n<\/tr>\n
Congo<\/td>\n12<\/td>\n<\/tr>\n
Barbados<\/td>\n12<\/td>\n<\/tr>\n
Namibia<\/td>\n10<\/td>\n<\/tr>\n
Djibouti<\/td>\n10<\/td>\n<\/tr>\n
Seychelles<\/td>\n9<\/td>\n<\/tr>\n
Mozambique<\/td>\n7<\/td>\n<\/tr>\n
Angola<\/td>\n7<\/td>\n<\/tr>\n
Tajikistan<\/td>\n7<\/td>\n<\/tr>\n
Somalia<\/td>\n7<\/td>\n<\/tr>\n
IM<\/td>\n7<\/td>\n<\/tr>\n
Madagascar<\/td>\n7<\/td>\n<\/tr>\n
Mali<\/td>\n7<\/td>\n<\/tr>\n
Papua New Guinea<\/td>\n6<\/td>\n<\/tr>\n
Fiji<\/td>\n6<\/td>\n<\/tr>\n
Brunei Darussalam<\/td>\n6<\/td>\n<\/tr>\n
SB<\/td>\n6<\/td>\n<\/tr>\n
Suriname<\/td>\n6<\/td>\n<\/tr>\n
Gambia<\/td>\n5<\/td>\n<\/tr>\n
Andorra<\/td>\n5<\/td>\n<\/tr>\n
Togo<\/td>\n5<\/td>\n<\/tr>\n
Montserrat<\/td>\n4<\/td>\n<\/tr>\n
Anguilla<\/td>\n4<\/td>\n<\/tr>\n
Sierra Leone<\/td>\n4<\/td>\n<\/tr>\n
Afghanistan<\/td>\n4<\/td>\n<\/tr>\n
Malawi<\/td>\n4<\/td>\n<\/tr>\n
Martinique<\/td>\n4<\/td>\n<\/tr>\n
Gabon<\/td>\n4<\/td>\n<\/tr>\n
Virgin Islands (U.S.)<\/td>\n4<\/td>\n<\/tr>\n
Saint Kitts and Nevis<\/td>\n3<\/td>\n<\/tr>\n
Burkina Faso<\/td>\n3<\/td>\n<\/tr>\n
Saint Lucia<\/td>\n2<\/td>\n<\/tr>\n
Cuba<\/td>\n2<\/td>\n<\/tr>\n
Turks and Caicos Islands<\/td>\n2<\/td>\n<\/tr>\n
Cayman Islands<\/td>\n2<\/td>\n<\/tr>\n
Bahamas<\/td>\n2<\/td>\n<\/tr>\n
Saint Vincent and the Grenadines<\/td>\n2<\/td>\n<\/tr>\n
Grenada<\/td>\n2<\/td>\n<\/tr>\n
Antigua and Barbuda<\/td>\n2<\/td>\n<\/tr>\n
Comoros<\/td>\n2<\/td>\n<\/tr>\n
Chad<\/td>\n2<\/td>\n<\/tr>\n
Tonga<\/td>\n2<\/td>\n<\/tr>\n
Swaziland<\/td>\n2<\/td>\n<\/tr>\n
Monaco<\/td>\n1<\/td>\n<\/tr>\n
Lesotho<\/td>\n1<\/td>\n<\/tr>\n
TL<\/td>\n1<\/td>\n<\/tr>\n
French Guiana<\/td>\n1<\/td>\n<\/tr>\n
Liechtenstein<\/td>\n1<\/td>\n<\/tr>\n
Burundi<\/td>\n1<\/td>\n<\/tr>\n
Virgin Islands (British)<\/td>\n1<\/td>\n<\/tr>\n
Gibraltar<\/td>\n1<\/td>\n<\/tr>\n
Belize<\/td>\n1<\/td>\n<\/tr>\n
French Polynesia<\/td>\n1<\/td>\n<\/tr>\n
Guam<\/td>\n1<\/td>\n<\/tr>\n
Niger<\/td>\n1<\/td>\n<\/tr>\n
Bhutan<\/td>\n1<\/td>\n<\/tr>\n
CW<\/td>\n1<\/td>\n<\/tr>\n
AX<\/td>\n1<\/td>\n<\/tr>\n
BL<\/td>\n1<\/td>\n<\/tr>\n
SS<\/td>\n1<\/td>\n<\/tr>\n
Cape Verde<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Cabin estimate user’s location from IP address<\/a>. As they only doing it at a country-level, I assume it’s reasonably accurate. The sorts of things that lead to IP addresses pointing to a different country (such as the corporate network in my office exiting to the Internet in mainland Europe) don’t seem likely for the schools and code clubs that are my typical users.<\/p>\n

The number of users from Saudi Arabia was unusual – I think there might’ve been an event in the last week.<\/p>\n

How many cloud projects do users create each day?<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Date<\/td>\nNumber of cloud projects created<\/td>\n<\/tr>\n<\/thead>\n
Wed 22 Apr<\/td>\n20,805<\/td>\n<\/tr>\n
Tue 21 Apr<\/td>\n22,055<\/td>\n<\/tr>\n
Mon 20 Apr<\/td>\n20,079<\/td>\n<\/tr>\n
Sun 19 Apr<\/td>\n13,751<\/td>\n<\/tr>\n
Sat 18 Apr<\/td>\n11,121<\/td>\n<\/tr>\n
Fri 17 Apr<\/td>\n12,260<\/td>\n<\/tr>\n
Thu 16 Apr<\/td>\n18,009<\/td>\n<\/tr>\n
Wed 15 Apr<\/td>\n19,359<\/td>\n<\/tr>\n
Tue 14 Apr<\/td>\n17,630<\/td>\n<\/tr>\n
Mon 13 Apr<\/td>\n15,198<\/td>\n<\/tr>\n
Sun 12 Apr<\/td>\n11,179<\/td>\n<\/tr>\n
Sat 11 Apr<\/td>\n6,191<\/td>\n<\/tr>\n
Fri 10 Apr<\/td>\n11,660<\/td>\n<\/tr>\n
Thu 9 Apr<\/td>\n18,533<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Cabin only tells me unique visitors to the site. Not all visitors are students. Not all visitors create ML projects.<\/p>\n

It’s difficult for me to know how many users actually use the site to create machine learning projects.<\/p>\n

I don’t require users to log in unless they want to save a project and work on it across multiple days. I don’t have any data on what proportion of my users take advantage of the site’s support for using it anonymously. Anecdotally, I hear it’s more common than users who log in. (Primarily because it’s so much simpler to run a class with young children if they don’t need to enter a username and password!) But either way, any logins or user accounts I counted would only give a partial view.<\/p>\n

If users store their projects on their own computer<\/a> then I don’t need to enforce limits on how many projects they store or how big they get. But that means I don’t have any way to count how many such projects are created.<\/p>\n

I can only count the projects that users store in the cloud, on my servers. That is how I get the numbers in the table above.<\/p>\n

It can only be a partial view, but it’s still interesting. For example, weekends are noticeably quieter. That’s perhaps to be expected for a site used in a lot of schools.<\/p>\n

I enjoy looking at data<\/h4>\n

I don’t have much of a conclusion here. This sort of data is useful as a guide for things like translation effort, and having reasonable expectations for browser capabilities as I consider moving more of the site’s computation out of the cloud and on-device<\/a>.<\/p>\n

Plus, I find stats interesting<\/a>!<\/p>\n","protected":false},"excerpt":{"rendered":"

I use Cabin for analytics on Machine Learning for Kids. (If you’re not familiar with them, their blog post on how to do analytics in a way that prioritizes user privacy is worth a read – the approach is simple but elegant. And you can see a demo of what a Cabin dashboard looks like.). […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[614,587],"class_list":["post-6019","post","type-post","status-publish","format-standard","hentry","category-misc","tag-mlforkids","tag-mlforkids-tech"],"_links":{"self":[{"href":"https:\/\/dalelane.co.uk\/blog\/index.php?rest_route=\/wp\/v2\/posts\/6019","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dalelane.co.uk\/blog\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dalelane.co.uk\/blog\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dalelane.co.uk\/blog\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dalelane.co.uk\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6019"}],"version-history":[{"count":6,"href":"https:\/\/dalelane.co.uk\/blog\/index.php?rest_route=\/wp\/v2\/posts\/6019\/revisions"}],"predecessor-version":[{"id":6025,"href":"https:\/\/dalelane.co.uk\/blog\/index.php?rest_route=\/wp\/v2\/posts\/6019\/revisions\/6025"}],"wp:attachment":[{"href":"https:\/\/dalelane.co.uk\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6019"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dalelane.co.uk\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6019"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dalelane.co.uk\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6019"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}