Suggest for this project

Goodmorning everyone,

I have a data dataset composed as follows:

- ts: the date on which the news was published;

- body: the text of the news;

- stock: ticker of the action to which the news refers (e.g. TWTR: Twitter);

- positive: integer> = 0. Indicates a count of "positive" words, from a financial point of view, found in the news;

- negative: integer> = 0. Indicates a count of "negative" words, from a financial point of view, found in the news.

In particular I have to carry out:

1) Exploratory data analysis

2) Data analysis techniques which means:

◼ Association rules

◼ Clustering = Perform multiple analysis sessions with one or more algorithms (e.g., KMeans,

DBSCAN) + Evaluate the various expert quality indexes (e.g., SSE).

Do you have any suggestions on where to start and how should I move?

Thanks so much!!!