This is the data of my favorite online MMORPG, OSRS (Old Runescape), which is fetched from public real-time JSON file Realtime OSRS Grand Exchange, provided by Rsbuddy as external API for Hobbyist who love DataViz. This game has its own version of Stock Trading System, where player can Sell and Buy Game items (like stock) in an Exchange Market; with game currency (gold) acquire killing monster .
VizHub data summary: OSRS Grand Exchange Dataset
Source: original provided by RsBuddy
Returns a list of every item in the game, with current price data in this format:
{"id": {
"overall_average",
"overall_quantity",
"sell_average",
"sell_quantity",
"name",
"id",
"sp",
"members",
"buy_average"
}}
Examine offline data of one single entry time (pulled at 09-10-2019 5:30AM). Experiment plots that can show all the game and current price on the game market. Connect the online API, to create an enchanting real-time that can give the layers a toos to make decisions.
(Note: might change later as the project develops over time).
- Which time should the player buy at fetched time (09-10-2019 5:30A)?
- What are the expensivest and cheapest item at fetched time (09-10-2019 5:30A)?
- which items offer best return or higher ratio sell/buy?
- Can we plot the items icons based on their id on a scatter plot as representing the correclection of sell and buy? (this would look cool when we implement this online).
overall_average and overall_quantity is quantitative sell_average and buy_quantity is quantitative buy_average and buy_quantity is quantitative member(if player is subscripted monthly or playing free) is categorical
https://beta.vizhub.com/meperezcuello/d7951f244ac04fa9bc31b19c5f88fca0?edit=files&file=README.md