![]() The next plot shows the number of messages per week and its interpretation is interesting: low bars can indicate that you and your friend got distant for a while, or that you were actually spending so much time together that there was no need of texting each other :)īy looking at a plot for my friend L. ![]() This should output something like this: (whew! it’s a balanced relationship :) )įind out when and why you didn’t speak to your friend. ![]() ", guide = guide_legend ( reverse = T )) + theme ( = element_blank (), = element_blank (), panel.background = element_blank (), legend.position = "top", axis.title = element_blank ()) Json_talkative <- count ( json, from ) ggplot ( json_talkative, aes ( x = "", y = n, fill = from )) + geom_bar ( stat = "identity", position = "stack" ) + coord_flip () + scale_fill_manual ( values = c ( "orange", "#954535" ), name = "Messages sent by. That’s it! You should have a nice result.json file saved in a folder called DataExport_dd_mm_year. Select what you want to download and choose the JSON format before clicking on Export. Just download it, set it up and go to the Settings.Ĭlick on Advanced settings, specify the folder where you want your data to be saved and click on Export Telegram data. There might be many options to download all your conversations, but since I also wanted all the pictures and audio messages I had to use Telegram Desktop. Obviously I won’t show it here, because it contains personal things, but I’ll show some plots (or parts of plots) that I did with various chats, to illustrate what can be done with Telegram data. ![]() The book didn’t have a title, but if it had it could have been something like “an illustrated data-based analysis of our friendship”. I used this feature to make a personalized gift to a friend of mine, by plotting a few graphs and combining them with pictures and texts inside a nice paperback notebook. ![]() Telegram allows you to export data from all chats you have. ![]()
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