Chevron Left
Вернуться к Analyze City Data Using R and Tableau

Отзывы учащихся о курсе Analyze City Data Using R and Tableau от партнера Иллинойсский университет в Урбане-Шампейне

Оценки: 11
Рецензии: 5

О курсе

By the end of this project, you will create, clean, explore and analyze San Francisco’s building permit public data. We will use OpenStreetMap API to find the geo-coordinates of buildings using R and RStudio and we will analyze the final results in Tableau. You will learn basic data cleaning techniques using R, create a function to make requests to the OpenStreeMaps API and leverage Tableau to generate insights. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions....

Лучшие рецензии

Фильтр по:

1–6 из 6 отзывов о курсе Analyze City Data Using R and Tableau

автор: Muhammad I

13 июля 2020 г.

Cloud desktop is very laggy even writing something is not responsive. I can't download any course material (I dont know why, but the downloading process is never end). Despite that, I like the topic. For first time, I know R languange+OSM+Tableau which usefull to analyze city data

автор: Agnes L

9 сент. 2020 г.

The response time of the Rhythm platform is too slow. I feel lagging for every single character I type. very annoying. The teaching method is not efficient.

автор: William H

30 сент. 2020 г.

Excellent course, I really got a lot out of it. Recommended.

автор: Carey D

18 окт. 2020 г.

Overall, this course provides a good overview of the power and possibilities of R and Tableau. If you are not currently comfortable working with R, I wouldn't recommend this class. I wish the class had a specific research question -- a lot of the cleaning in R felt arbitrary without know what our end goal was. Note that you'll need to sign up for a free trial of Tableau -- that wasn't clear at the beginning of the course.

автор: Arturo B

28 июня 2021 г.

Thank you Jose Luis Rodriguez

автор: nitish k

12 июля 2021 г.

Poor R code, throws up errors often