Analysis of Data scraped brom ICOBench using Python.
The main goal is to list and address to specific types various roles in right categories, to see their frequency, analyze the results and highlight possible relationships between ICO companies.
You must have the following packages installed on the system:
- git
- python 3.x
- Pip 3
And also the following python packages:
Then clone the repo:
git clone https://github.com/epilurzu/role-sorter.git
cd role-sorter
Just 2 things:
- To let the code run as it is, you need to put 3 json files in the "data/raw" folder. The files are called:
ICOBench_ended_2019-09-19.json
ICOBench_ongoing_2019-09-19.json
ICOBench_upcoming_2019-09-19.json
Each file have to include at least this values:
[
{
"name": "ico_name",
"url": "https://icobench.com/ico/ico_name",
"token": "XXXX,XXX,XXX,XXX",
"team": [
{
"name": "member_name_0",
"role": "Founder",
"socials": [
"https://www.linkedin.com/in/member_name"
]
},
{
"name": "member_name_1",
"role": "Co-Founder",
"socials": [
"https://www.linkedin.com/in/member_name_1"
]
}
]
}
{
//And again...
}
]
- Run from inside the repo dir:
python3 main.py
That's it!
- See LICENSE file.
- E-mail : e.ipodda@gmail.com
- Github : @epilurzu