Glass is made from different materials. The most important ingredient is silica in the sand. To make ordinary glass, sodium carbonate and limestone (calcium carbonate) are added. The green glass is caused by iron impurities in the sand. Modern glass incorporates other ingredients to improve color and some of its properties, such as heat resistance. In this analysis report of Glass Classification we will make Clustering for Business Decision Making by applying PCA Analysis & K-Means Clustering Method in the provided data.

Although there have been a lot of studies undertaken in the past on factors affecting life expectancy considering demographic variables, income composition, and mortality rates. It was found that the effect of immunization and the human development index was not taken into account in the past. Also, some of the past research was done considering multiple linear regression based on data set of one year for all the countries. Hence, this gives the motivation to resolve both the factors stated previously by formulating a regression model based on a mixed effects model and multiple linear regression while considering data from a period of 2000 to 2015.

Giving blood is a great thing to do and if you are going to collect blood donations you need to know who to send reminders for donations. The collected data provides an opportunity to come up with an algorithm that can help in identifying who is likely to donate again. The data set is from a mobile blood donation vehicle in Taiwan.

Based on the modeling that we already have done, we got a pretty good result from the logistic regression. In the logistic regression, we got an accuracy value of 0.704 which is quite high. Still, in this case, we won’t use the accuracy value because it is used when the target class is balanced and does not attach importance to any of the classes. On other hand, we will be using the value of Recall/Sensitivity because we want to focus on minimizing false negative cases in order to maximize the tax revenue database as accurate as possible. With a Recall/Sensitivity value of 0,933, we got a good result from the model and thus this Logistic Model can be applied as the main model to predict the income of American adults.

Brief Capstone Data Visualization (DV) Theia - Algoritma

Dengan jutaan aplikasi yang ada saat ini, kumpulan data berikut telah menjadi sangat penting untuk mendapatkan aplikasi trending teratas di toko aplikasi iOS. Kumpulan data ini berisi lebih dari 7000 detail aplikasi seluler Apple iOS. Data diekstraksi dari iTunes Search API di situs web Apple Inc. Software R dan dataset iOS App Store 2017 yang disediakan oleh Kaggle digunakan untuk penelitian ini. Adapun juga tersedia visualisasi interaktif singkat sebagai berikut: (https://danielwijoyo.shinyapps.io/iOS_App_Store_2017_Dashboard_Analysis/)

Merupakan dashboard sederhana dari sajian data YouTube Trending Videos tahun 2017.

Mini-paper ini bertujuan untuk mengamati dan menganalisis perkembangan tren dari pergerakan harga saham BBCA, terlebih berfokus pada aktivitas volume perdagangan yang dipengaruhi oleh transaksi asing. Selain itu, mini-paper ini juga dapat memberikan harga rekomendasi wajar untuk range transaksi investor pasar modal pemula dengan memperhitungkan pergerakan saham harian BBCA selama tiga tahun dari periode 2019 s.d 2021.