Some of my data analysis from 25 most popular introductions on Steemit
Hi! In the beginning I would like to say that main inspiration for this post was made by @saulius (his post here). I didn't use any of his work, made it all from scratch, take more data from introductions and ever look in the internet for birthdays of authors, what wasn't so easy.
There are a lot of analyss that can be created from my spreadsheet and I will present some of it in form of the graphics.
But first of all thanks to people from introductions: @infovore, @allasyummyfood, @edgeland, @federicopistono, @fairytalelife, @kyletorpey, @budgetbucketlist, @fyrstikken, @venuspcs, @blockchaingirl, @steve-walschot, @kevinpham20, @cloverme, @thisisbenbrick, @bridgetbunchy, @metrox, @fluffypony, @groovy, @bittrex-richie, @moonflower, @steemingnow, @bittrex-ryan, @thebear, @magz8716, @katecloud .
If you like my post, please upvote it. It will give me a sign to continue collecting data and show it later to you.
Users by continent
![](https://steemitimages.com/640x0/https://s31.postimg.org/jlqi0o0rf/users_continent.png)
Users by country
![](https://steemitimages.com/640x0/https://s31.postimg.org/s7trl9crf/users_country.png)
Total money earned by users by continent
![](https://steemitimages.com/640x0/https://s31.postimg.org/rfr3m28kb/users_continent_money.png)
Average money earned by users by continent
![](https://steemitimages.com/640x0/https://s31.postimg.org/lsuqol61n/users_continent_money_average.png)
Users by posted time (Zulu)
![](https://steemitimages.com/640x0/https://s32.postimg.org/trk9vlppx/24h_clock_v1.png)
Users by posted day (Zulu)
![](https://steemitimages.com/640x0/https://s32.postimg.org/z4dpnh305/calendar_users.png)
Users by age
![](https://steemitimages.com/640x0/https://s32.postimg.org/xqm2s63qt/users_age.png)
Amount of used tags (besides introduceyourself)
![](https://steemitimages.com/640x0/https://s32.postimg.org/vnbnki3xx/users_tags.png)
Users by gender
![](https://steemitimages.com/640x0/https://s31.postimg.org/hjbbeh3cb/users_gender.png)
Total money earned by gender
![](https://steemitimages.com/640x0/https://s31.postimg.org/e632rr9rf/users_gender_money.png)
Average money earned by gender
![](https://steemitimages.com/640x0/https://s31.postimg.org/e7hlyx0yz/users_gender_money_average.png)
Total votes in introduction by gender
![](https://steemitimages.com/640x0/https://s31.postimg.org/beoeew0mj/users_gender_votes.png)
Average votes in introduction by gender
![](https://steemitimages.com/640x0/https://s31.postimg.org/g1uggnnzf/users_gender_votes_average.png)
Total comments in introduction by gender
![](https://steemitimages.com/640x0/https://s31.postimg.org/xityy0ze3/users_gender_comments.png)
Average comments in introduction by gender
![](https://steemitimages.com/640x0/https://s31.postimg.org/j0wrq182z/users_gender_comments_average.png)
Total images in introduction by gender
![](https://steemitimages.com/640x0/https://s31.postimg.org/q5ekz2fcb/users_gender_images.png)
Average images in introduction by gender
![](https://steemitimages.com/640x0/https://s31.postimg.org/ryhhne0iz/users_gender_images_average.png)
Total words in introduction by gender
![](https://steemitimages.com/640x0/https://s31.postimg.org/6ikrn70h7/users_gender_words.png)
Average words in introduction by gender
![](https://steemitimages.com/640x0/https://s31.postimg.org/l31ui0vfv/users_gender_words_average.png)
That's a nice work, and something is interesting me :
How did you collect those datas ?
Your work may not be rewarded but i like reading those kind of statistics, maybe you should have used another tag for your post.
Most data is in every entry - you just need to open it and copy into spreadsheet. The hardest things are personal info. Sometimes you have only name, sometimes just the nickname. Then Google comes in hand, or Facebook, or LinkedIn, or some other site. You need to look for birthdays or photos.
Quite intriguing. There are more men, but women get paid more on average! I guess Steem has broken the glass ceiling! haha
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