huihuifan
commented
10 years ago new script, slightly shorter. @BenjyLevin @rkgibson2 any edits? If not, we should go ahead and construct these datasets and film.
@BenjyLevin I was thinking you could read the script?
Meet Robbie. He’s recently started playing a computer game called Defense of the Ancients, or Dota2. Dota2 is a five versus five battle game, where each player controls a hero with the ultimate goal of destroying the other team’s stronghold. Each hero strives to kill opposing heroes to gain gold in order to buy various items, which strengthen the hero.
Robbie wants to use Data Driven Dota to figure out why he loses so many games.
For example, one of Robbie’s favorite heroes is Windranger, but he can’t exactly decide what items to purchase. Using the Items Bar Graph, he can see that when he buys Force Staff, he wins 80% of games, but when he buys Sange and Yasha, he only has a 10% winrate.
While looking at the Hero Sunburst Diagram, Robbie notes that he plays 80% of his games on Windranger, so is not used to playing games on any other hero. This could contribute to his losses, because he doesn’t understand other heroes very well.
Meet Angela, a veteran Dota player, who uses Data Driven Dota in a different way.
For example, Angela’s goal for the month is to get incredibly good at playing the hero Vengeful Spirit, so she wants to focus her analysis to just these games.
Additionally, Angela is interested in improving her overall winrate, so she can eventually ascend to Dota’s world leaderboard. She takes a look at the User Bubble Graph, where she quickly sees that she has got to stop playing with Robbie, because together they only have a 10% winrate. Gosh, Robbie so noob.
Lastly, Angela wants to reminisce about her top games from her long years. She can glance at her Top Records, and click to bring up additional information about the particular game she wants to recall. If she wants to find a game faster, she can filter the dataset, which also updates the records.
Data Driven Dota. Discover your own story.
Make edits to this, please. Here is what I have thus far:
Meet Robbie. He’s recently started playing an online computer game called Defense of the Ancients, or Dota2. Dota2 is a five versus five battle game where each player controls a character, called a hero, with the ultimate goal of destroying the other team’s stronghold. Each hero strives to kill opposing heroes and neutral monsters to gain gold in order to buy various items, which improve them.
Robbie, despite having played many games, struggles to understand why he is loses often.
Using Data Driven Dota, Robbie can figure out in what situations he wins, and what causes him to lose. Let’s look at some examples.
One of Robbie’s favorite heroes is Windranger, but he can’t exactly decide what items to purchase on her. Using the Items Bar Graph, he can see that when he buys Force Staff, he wins 80% of games, but when he buys a Sange and Yasha, he only has a 10% winrate.
Additionally, while looking at the Hero Sunburst Diagram, Robbie notes that he plays 80% of his games on Windranger, so is not used to playing games on any other hero. Robbie resolves to start playing a greater variety of heroes.
Meet Angela. Angela is a veteran Dota player with years of experience. Of course, she is focused on why she loses games, but what Angela uses Data Driven Dota in a more focused way than Robbie.
For example, Angela’s goal for the month is to get incredibly good at playing the hero Vengeful Spirit. Angela can filter her dataset to only include past Vengeful Spirit games, so she can focus her analysis.
Additionally, Angela is interested in improving her overall winrate, so she can eventually ascend to Dota’s world leaderboard. She takes a look at the User Bubble Graph, where she quickly sees that she has got to stop playing with Robbie, because together they only have a 10% winrate. Gosh, Robbie so noob.
Lastly, Angela wants to reminisce about her top games from her long years of playing Dota. She can glance at her Top Records, and click to bring up additional information about the particular game she wants to recall. If she wants to find a game faster, she can filter the dataset, which also updates the records.
Data Driven Dota. Discover your own story. (or other appropriately cheesy ending)