use plotly to plot seasonal data in php/javascript -- 2
€8-30 EUR
Concluído
Publicado há mais de 1 ano
€8-30 EUR
Pago na entrega
I am trying to display weather data on a website in php, and i am trying to use plotly to display a nice look&feel graph.
As an input in php you must have a selectbox:
1. to select a range of time (2y,5y,10y,20y,max)
2. to select the type of weather data (TMIN,TMAX,TAVG,PRCP,DEWP,WDSP,GUST)
3. to select the type of seasonality (week,month,year): this part may be a bit tricky as you need to calculate the seasonality from raw data. if i have a year of raw data and i want a weekly seasonality, i will have a curve of seven point, and each point will be the average of 52 value (there are 52 weeks in a year)
4. to select the type of graph(quantile,raw)
In the graph i need to see for the selected weather data,seasonality :
1. the plot of the lowest 10% quantile (for type of graph quantile only)
2. the plot of the highest 90% quantile (for type of graph quantile only)
3. the plot of the data for the current latest seasonality period
4. the plot of the data for all the seasonality period defined in 'range of time' (for type of graph raw only)
the data is coming from a call in php to mysql database which needs to be implemented ( i have samples for that)
The server is running on ubuntu 14, php 5.5
Hi, I am a PHP & JavaScript Expert.
I've designed climate monitoring site. I am similar with php chart.
I feel very confident in my skills and want to help your business the best I can.
My clients have never been disappointed with my work and I want to make you one of them.
Let's chat with me to discuss now, thanks.
€30 EUR em 7 dias
4,9 (18 avaliações)
4,8
4,8
4 freelancers estão ofertando em média €57 EUR for esse trabalho
I have done a similar project of displaying graphs of data traffic in a physical interface of a router at different times of the day or daily, weekly, yearly average over a 24 hour period. This project of yours is same, just need your sample database of a week to implement it. The php mysql combine is just right for the project.