Pinned Repositories
Detecting-Outliers
By extracting the relevant data from mongoDB database, the data is collected and utilized in the creation of a plot. The plot serves as a visual representation of the data, aiding in the identification and analysis of any outliers present within the dataset.
MongoDB-Pipline
Data from mongoDB is processed using distillert, and the resulting output is plotted for visualization.
Real-estate-prediction-
In this project, we are finding a relationship between the house price and some other dependent variables (number of convenience stores, distance to the closest MRT, house age, transaction date,...) to predict the trends and sales price.
Webscraping
This is one of the assignment I did using web scrape (regex), to extract information from top 100 movies in 2019. Extracted informations are Name, Author, Year, Thumbnail URL, metascore, and description. Putting that into one spreadsheet and doing analysis on them!
Julie201203's Repositories
Julie201203/Detecting-Outliers
By extracting the relevant data from mongoDB database, the data is collected and utilized in the creation of a plot. The plot serves as a visual representation of the data, aiding in the identification and analysis of any outliers present within the dataset.
Julie201203/MongoDB-Pipline
Data from mongoDB is processed using distillert, and the resulting output is plotted for visualization.
Julie201203/Real-estate-prediction-
In this project, we are finding a relationship between the house price and some other dependent variables (number of convenience stores, distance to the closest MRT, house age, transaction date,...) to predict the trends and sales price.
Julie201203/Webscraping
This is one of the assignment I did using web scrape (regex), to extract information from top 100 movies in 2019. Extracted informations are Name, Author, Year, Thumbnail URL, metascore, and description. Putting that into one spreadsheet and doing analysis on them!