During Malaysia’s festive season, traffic jams are a common occurrence. However, Twitter data analysis can help predict the areas most affected by congestion, allowing commuters to plan their routes more efficiently. By monitoring keywords and hashtags related to traffic, such as #trafficjam and #kltraffic, analysts can identify patterns and predict peak congestion times. This information can also be used by local authorities to implement measures to alleviate traffic during peak periods.
Category: data science
Data science is the practice of using scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. It is both an interdisciplinary and a highly technical field, involving skills such as machine learning, predictive modelling, natural language processing, text mining, statistical modelling, data mining and visualization. Data science is […]
Pandas is an open-source library for data analysis and manipulation in Python. It provides data structures for efficiently storing large datasets and tools for working with them in a user-friendly manner. The primary data structure in Pandas is the “DataFrame,” which is a two-dimensional, labeled data structure with columns that can be of different types. […]
Python has become a ubiquitous language in the world of data analysis, and its popularity is only growing. With its simplicity, versatility and a massive library of tools, it has made data analysis accessible to everyone. If you’re looking to become a successful Python data analyst, this article is for you. Step 1: Master Python […]
Here is a list of popular Python libraries for data visualization: These libraries offer a range of features and styles, so the best choice for your needs may depend on the specific problem you’re trying to solve. Here are some examples of data visualization provided by the Python libraries: Plotly Bokeh Seaborn Here are some […]
The purpose of the article is to explore the similarities and differences between the Python and Julia programming languages. The article will provide a comprehensive comparison of the two languages, highlighting their strengths and weaknesses and discussing when it may be more appropriate to use one language over the other. The article will also provide […]
There are several Python libraries and tools that are commonly used by data analysts, including: These are just a few examples of the many Python tools available for data analysis. The best tool for a specific task will depend on the particular use case and requirements.
There are many Python libraries and tools that are commonly used in data science, including: These are just a few examples of the many Python tools available for data science. The best tool for a specific task will depend on the particular use case and requirements.