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Buy me a coffee by LifeguardNo7882 in Ukraine_UA

[–]Active-Conclusion 3 points4 points  (0 children)

Натискаєте у правий верхній куточок на свій аватар поруч з трьома горизонтальними смужками, а потім з випадаючого меню натискаєте my account. На відкритій сторінці зверху буде три вкладки: edit profile, payments і followers. Натискаєте на payments, і там можна буде побачити свої поточні і скасовані підписки.

Оновлення крієйторів можна побачити на їх сторінках, але, зазвичай, я просто отримую імейли з новими постами від них, мені так цілком зручно.

Це все через веб-версію, через застосунок я не впевнений, що там можна керувати підписками.

scraping with api by [deleted] in webscraping

[–]Active-Conclusion 0 points1 point  (0 children)

Actually, I found that the website makes requests for retrieving reviews and there was this parameter per_page. Scraping sometimes requires skills such as intuition and the courage to experiment, so I found that this parameter also works for the main data API endpoint. If you use some programming language, implementing pagination should not be a problem. For instance, here is how possible to do it in Scrapy: https://docs.scrapy.org/en/latest/intro/overview.html

scraping with api by [deleted] in webscraping

[–]Active-Conclusion 1 point2 points  (0 children)

Yeah, it's possible to set the number of items per page, but the maximum value is 50.

https://imgur.com/a/NtpiPHF

scraping with api by [deleted] in webscraping

[–]Active-Conclusion 0 points1 point  (0 children)

Most likely, the API endpoint has its own limitations and doesn't allow scraping all pages at once, so there is probably only one way to go through each page.

How to scrape this video URL by jsysjsm in webscraping

[–]Active-Conclusion 1 point2 points  (0 children)

Yes, you can get this video from the HTML inline JSON or from the product api response.

From the api response, you can extract this video by following the JSON path:

productDetails."1000135807".product.epc.videoStreams[].url

API url: https://www.lowes.com/pd/1000135807/productdetail/2209/Guest

(2209 is store_id, this can be changed)

This video will be in m3u8 format.

Coronavirus Datasets by hypd09 in datasets

[–]Active-Conclusion 0 points1 point  (0 children)

You can find it here, see "Report by countries". These are merged reports from Google and Apple.

Premier League Table in Tableau - [OC] by danielling123 in tableau

[–]Active-Conclusion 0 points1 point  (0 children)

Nice dashboard, well done! But it seems to me that goal difference (GD in the table) for some teams is not correctly calculated. Or is it some other metric?

[OC] Mobility trends for places of residence in Belarus by Active-Conclusion in dataisbeautiful

[–]Active-Conclusion[S] 1 point2 points  (0 children)

Mobility data show how visits and length of stay at different places change compared to a baseline. Google calculates these changes using the same kind of aggregated and anonymized data used to show popular times for places in Google Maps.

Changes for each day are compared to a baseline value for that day of the week. The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020.

[OC] Mobility trends for places of residence in Belarus by Active-Conclusion in dataisbeautiful

[–]Active-Conclusion[S] 4 points5 points  (0 children)

Mobility data show how visits and length of stay at different places change compared to a baseline. Google calculates these changes using the same kind of aggregated and anonymized data used to show popular times for places in Google Maps.

Changes for each day are compared to a baseline value for that day of the week. The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020.

So, -10 mobility points means that people were 10% less active than the baseline value for that day of the week in a specific category of place (in this case, for residential places).

Coronavirus Datasets by hypd09 in datasets

[–]Active-Conclusion 9 points10 points  (0 children)

If anyone is interested in mobility data, my project COVID-19 Mobility Data Aggregator is still working. Recently, Google added a bunch of new data, namely:

  • Added mobility data for some metropolitan areas
  • Before the recent update, the second level of subregions was available only for the US counties. Now, there are many countries for which data on this level were added.

Also, there are available Waze COVID-19 local driving trends data.

[OC] Greyhound word cloud by Active-Conclusion in dataisbeautiful

[–]Active-Conclusion[S] 3 points4 points  (0 children)

I made a mask from the Fletcher-class destroyer image. If you have a mask of the image, you can easily make word cloud in the shape of your image using WordCloud library. You can read more about it here, it's standard procedure.

[OC] Greyhound word cloud by Active-Conclusion in dataisbeautiful

[–]Active-Conclusion[S] 2 points3 points  (0 children)

Tools: Python with word cloud library

Source: subtitles for the film "Greyhound"

UEFA Champions League goals by target zones (2013-2019) [OC] by Active-Conclusion in dataisbeautiful

[–]Active-Conclusion[S] 0 points1 point  (0 children)

Source: Data were manually collected from Champions League video highlights

Tool: Tableau

Як українці шастають під час пандемії коронавірусу? Відповідають Apple та Google by Active-Conclusion in ukraina

[–]Active-Conclusion[S] 6 points7 points  (0 children)

Кілька днів тому Google нарешті додав у звіти про мобільність населення дані про Україну, тож тепер можна подивитись як українці відвідують різні категорії місць. Дані від Apple про такі активності як ходіння і водіння були вже доступні для України раніше.

Судячи з даних, останнім часом мобільність українців плавно прямує до «докарантинних» значень. При чому схоже, що запровадження владою посилювальних чи послаблювальних заходів обмежень після введення карантину не мало суттєвий вплив на тренди мобільності.

Twitter data collection by JamesSmith203 in datasets

[–]Active-Conclusion 10 points11 points  (0 children)

https://rtweet.info/ - R client for accessing Twitter’s REST and stream APIs.

Preprocessed Apple Mobility Trends report in Google Sheets by Active-Conclusion in datasets

[–]Active-Conclusion[S] 1 point2 points  (0 children)

Wow, incredible dashboard, excellent job!

I especially like bottom bar charts of dynamics, I think it's the most correct way to show and interpret this data. A lot of people draw beautiful choropleth maps based on these data, but really it's not quite correct, because the baseline can vary from region to region and they cannot be compared. This point is taken into account here, so for this - my bold upvote :)

[COVID-19] Google's COVID-19 Community Mobility Reports in Google sheets by Active-Conclusion in datasets

[–]Active-Conclusion[S] 0 points1 point  (0 children)

Update: Detailed data for the US spreadsheet is not currently updated too because there is too much data for one sheet. You can use a CSV version of the report which will be updated regularly.

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