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Bonjour à toutes et à tous,Nous souhaiterions ajouter la possibilité de faire une recherche isochrone sur un jeu de données. Nous réfléchissons à la production d’un jeu de données recensant certains points d’intérêt, l’idée serait pour un utilisateur de pouvoir choisir un point sur une carte et d’avoir en retour un filtrage de la liste sur les enregistrements situés à un certain temps de trajet (à pied, à vélo ou en voiture) autour de ce point.Des API sont proposées sur le portail GéoServices ou Geoapify par exemple mais nous ne savons pas comment procéder pour intégrer cela sur notre plate-forme OpenDataSoft.Est-ce qu’un membre de la communauté aurait déjà mis en oeuvre ce genre de fonctionnalité ? Si oui, auriez-vous des tutoriels à nous soumettre ?Merci d’avance pour vos réponses.Davy
I want to display the evolution of population in all districts of Würzburg with a line chart. For that I use this dataset.In order to compare the districts, I created a series-breakdown on “Stadtbezirk” facet. But since there are 13 districts, this looks a little bit confusing. At the moment, one could unselect several districts by hand by clicking on them in the legend. In this case, it would be more convenient, if there are all but a one ore two districts unselected by default.Is there any possibility to implement this in the HTML or CSS-Code?At the moment, the code for the chart looks like this:<ods-dataset-context context="stadtbezirkehauptwohnsitzaltersgruppen" stadtbezirkehauptwohnsitzaltersgruppen-dataset="stadtbezirke_hauptwohnsitz_altersgruppen"> <ods-chart scientific-display="false" align-month="true"> <ods-chart-query context="stadtbezirkehauptwohnsitzaltersgruppen" field-x="jahr" maxpoints="0" timescale="year" series-breakdown="stadtbezirk">
As I’m trying to create a page with the code editor, I’m facing an issue with the refinement of datasets.To automate a line chart for different contexts, so that I can select one dataset of a list of many datasets and use the same ods-chart tag, I want to refine all the contexts before referencing on them in the chart widget. But the important aspect of my question is this: For this refinement, it would be more convenient for me to define the values that should be excluded, instead of the ones that should be included.Is there a possibility to do so?Thank you all in advance! :)
Bonjour, Nous avons un souci pour les widgets qu’on développe en page custom.En effet, quand on essaye de les intégrer dans une page, la fonction height=”fit-content” n’est pas prit en compte. Bonjour,Nous rencontrons un problème avec les widgets que nous développons pour les pages personnalisées. En effet, lorsque nous essayons de les intégrer dans une page, la fonction height="fit-content" n'est pas prise en compte.Nous avons rencontré ce problème notamment pour les résultats des élections. Quelqu'un aurait-il une solution ?Je vous remercie. Je vous remercie
Hello everyone,I’m Kamal Hinduja from Geneva, Switzerland. I’m new to this community and look forward to contributing positively to the discussions while learning from your insights. Could someone please explain how Open data soft integrates with public datasets? Thanks in Advance!Kamal Hinduja Geneva, Switzerland
I have two datasets, one with polygons and names and one with data.I load the map in the LHS of the screen and use the refine-on-click feature within <ods-map-layer to load a HTML table on the RHS of the screen.However, I’d like to be able to have the map show the selection.I’ve tried using highlight-on-refine="true" but I suspect this doesn’t work because the data on the map is not actually being refreshed!Here is my code:!--scriptorendfragment--><div class="row ods-box"> <ods-dataset-context context="dfesmap,dfesdata" dfesmap-dataset="dfes-primary-polygons" dfesdata-dataset="dfes-2023-primary-data0"> <div class="col-md-8"> <ods-map style="height:560px" scroll-wheel-zoom="true"> <ods-map-layer context="dfesmap" display="choropleth" refine-on-click-context="dfesdata" refine-on-click
I think a useful feature to help us manage our back office would be for the datasets section to allow us to filter by the Update frequency.
We would like a way for our users to favorite a dataset, as well as provided feed back as to what they liked about it.
I would like to garner some ideas on how y’all manage updating static, flat file datasets on a regular basis.Most of ours pull from the source via API. But a few require us every week/month/year to download a flat file from the source to then re-upload to our platform.At first I thought a simple calendar with what needs doing when would be a good idea. But, some datasets dont drop on a regular schedule or can be delayed. So if I have a calendar entry saying “Download X data today” and its not there. It doesnt get done and I forget that ive not actually done that. So I need some way to check it off.How do you all efficiently manage your flat file updates? What tools or methods do you use?
Hi,I understand that geopoint schemas cant be edited when they are the centre of a geoshape, but is there anyway to still be able to edit the description? Mainly to state that this point is in fact the centre of the shape and not a location point (see below) Thanks Ryan
Hello,Using the dataset named “ods-api-monitoring”, I am able to know the number of download for a specific dataset. However, I would like to perform this task every month, that’s why I want to automate this process using python. I tried to filter the dataset and take the link of the csv generated in order to upload it on python. Nevertheless, I have an error while launching the program, it seems that it has a link with the authentification on the plateform. Do we have access to an API for the dataset “ods-api-monitoring” ? Or is there another recommended way to retrieve this information?Thank you for your help.Best regards,Eva Berry
I’m trying to use some Openstreetmap data in ODS.However some of the data is formed where there are multiple lat/lon for an ID and when bringing it into ODS, ODS takes none of the lat/lon pairs when there are multiple. See screenshot of the multiple lat/lon pairs The records with multiple happen to be at the bottom as I think (assume) ODS uses the first 20 rows to determine a pattern. I want ODS to at least take the first pair of lat/lon so the data is somewhat accurate (at the moment it just ignores this and leaves the lat and lon fields blank. Query used for bringing in the data is here:https://overpass-api.de/api/interpreter?data=%2F*%0AThis%20query%20looks%20for%20nodes%2C%20ways%20and%20relations%20%0Awith%20the%20given%20key%2Fvalue%20combination.%0AChoose%20your%20region%20and%20hit%20the%20Run%20button%20above%21%0A*%2F%0A%5Bout%3Ajson%5D%5Btimeout%3A25%5D%3B%0A%2F%2F%20gather%20results%0Anwr%5B%22highway%22%3D%22elevator%22%5D%28-27.870644599673355%2C152.0219421386719%2C-26.
Dear all,it appears that text search for word components doesn’t include results where the word component starts in the middle of a word element.Can you confirm this search result property and is there a possible work-around or a future feature that allows full-text search within words?ExampleText search “kirsch” finds entries with the attribute “Trauben-Kirsche” but not those with “Traubenkirsche”. URLshttps://data.bs.ch/explore/dataset/100052/table/?q=kirsch&sort=arthttps://data.bs.ch/explore/dataset/100052/table/?sort=art&refine.baumart_lateinisch=Prunus+padushttps://data.bs.ch/explore/dataset/100052/table/?sort=art&refine.baumart_lateinisch=Prunus+padus&q=kirsch
Hello Opendatasoft Community,I've been exploring the capabilities of Opendatasoft for creating dynamic dashboards and interactive data visualizations. The platform's flexibility in handling diverse datasets and its user-friendly interface have been impressive. However, as I delve deeper into more complex data representations, I'm curious about best practices to ensure optimal performance and responsiveness.Specifically, I'm interested in strategies for: Efficiently managing large datasets to prevent lag in visualizations. Implementing real-time data updates without compromising dashboard speed. Utilizing Opendatasoft's API features to enhance data interactivity. Given the platform's robust features , I'm confident there are effective methods to achieve these goals.On a related note, I've been considering hardware upgrades to support more intensive data processing tasks. Would investing in an i5 gaming laptop provide the necessary performance boost for handling complex data visualiz
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