You will get High Quality Visualizations of Financial and Economic Data
Top Rated
You will get High Quality Visualizations of Financial and Economic Data
Top Rated
Project details
You will get a presentation quality, interactive HTML chart, a static image of the chart, and the source data in an Excel file. Advanced or custom visualizations and chart types that are clean, easily understood, and ready to tell whatever story that you want them to.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$75
|
Standard
$100
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 2 days | 3 days |
Number of Revisions | 3 | 3 | 4 |
Number of Graphs/Charts | 1 | 3 | 3 |
Model Documentation | |||
Data Source Connectivity | |||
Model Validation/Testing | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $50
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RB
Raymond B.
Nov 21, 2024
Financial Model Update for Real Estate Project in Costa Rica
RB
Raymond B.
Nov 15, 2024
Waterfall and Cap Table
Very professional, with great experience in real estate models. It was wonderful working with Gilles—he accomplished in a few days what others couldn’t do in several weeks. I recommend him 100%
AE
Ayman E.
Nov 11, 2024
GANTT Chart Creation
ZS
Zach S.
Sep 27, 2024
Simple timeline /Gantt Template Needed
CM
Chris M.
Sep 3, 2024
Real Estate Analyst for Financial Underwriting
About Gilles
Former banker with advanced analytical and technical skills.
100%
Job Success
Mount Pleasant, United States - 2:58 pm local time
Advanced financial modeling and visualization skills with Excel, Python, Power BI, PowerPoint, and Tableau. Proven ability to create customized and intuitive financial models and other professional services for any asset, project, business, or cash flow.
Steps for completing your project
After purchasing the project, send requirements so Gilles can start the project.
Delivery time starts when Gilles receives requirements from you.
Gilles works on your project following the steps below.
Revisions may occur after the delivery date.
Source and clean the data
Create the chart using Plotly library in Python