From a35e76c132b4cc17bfa4d0085466a5bb6de388ad Mon Sep 17 00:00:00 2001 From: apjanusz Date: Fri, 7 Jun 2024 14:08:03 +0200 Subject: [PATCH] add excel sheet into python dashboard tutorial --- pages/tutorials/_meta.json | 9 +- .../excel-sheet-into-python-dashboard.mdx | 157 ++++++++++++++++++ pages/tutorials/matplotlib-dashboard.mdx | 2 +- .../excel-dashboard/excel-dashboard.mp4 | Bin 0 -> 343867 bytes .../excel-dashboard/excel-sheet.png | Bin 0 -> 39018 bytes .../matplotlib-dashboard.mp4 | Bin 6 files changed, 164 insertions(+), 4 deletions(-) create mode 100644 pages/tutorials/excel-sheet-into-python-dashboard.mdx create mode 100644 public/images/tutorials/dashboards/excel-dashboard/excel-dashboard.mp4 create mode 100644 public/images/tutorials/dashboards/excel-dashboard/excel-sheet.png rename public/images/tutorials/dashboards/{ => matplotlib-dashboard}/matplotlib-dashboard.mp4 (100%) diff --git a/pages/tutorials/_meta.json b/pages/tutorials/_meta.json index 84781df..a7cd1c9 100644 --- a/pages/tutorials/_meta.json +++ b/pages/tutorials/_meta.json @@ -25,12 +25,15 @@ "Dashboard Tutorials": { "type": "separator", "title": "Dashboard Tutorials" - }, + }, "dashboard-python-jupyter-notebook": { "title": "Create Dashboard" }, + "excel-sheet-into-python-dashboard": { + "title": "Excel Sheet into Dashboard" + }, + "matplotlib-dashboard": {}, "vega-altair-dashboard": { "title": "Vega Altair Dashboard" - }, - "matplotlib-dashboard": {} + } } diff --git a/pages/tutorials/excel-sheet-into-python-dashboard.mdx b/pages/tutorials/excel-sheet-into-python-dashboard.mdx new file mode 100644 index 0000000..4740bff --- /dev/null +++ b/pages/tutorials/excel-sheet-into-python-dashboard.mdx @@ -0,0 +1,157 @@ +--- +ogTitle: Turn excel sheet into Python dashboard +description: How to create an interactive dashboard with Python using data from an Excel sheet in Jupyter Notebook. +ogImage: tutorials +--- + +import {Screenshot} from 'components/screenshot'; +import excelSheet from "../../public/images/tutorials/dashboards/excel-dashboard/excel-sheet.png"; + +# Turn excel sheet into Python dashboard + +We created a simple Python dashboard using data from an Excel sheet and `pandas`, `mercury` and `altair` packages. +In this article you will learn: + +- how to load excel sheets to your Jupyter Notebook, +- how to use Markdown, NumberBox, Range and Table `mercury` widgets, +- how to create charts using `vega-altair`, +- how to turn your notebook into Web App. + + +## Import required packages + +You will need following packages: + +```python +pandas +mercury +altair +``` + +- `pandas` is for data manipulation and analysis. +- `mercury` will be used for interactive widgets and for running notebook as a web app. +- `altair` for creating declarative statistical visualizations. + +Make sure that you have installed them before start doing anything. + +The cell code with imports : + +```python +import pandas as pd +import mercury as mr +import altair as alt +``` + +## Get Data + +In this case, we used an example excel sheet: + + + +You need to load the data from an Excel file into a DataFrame. This will allow to manipulate and analyze the data easily. + +```python +df = pd.read_excel('example.xlsx') +``` + +## Create Dashboard + +### Set heading +Please set a heading for the dashboard using the [**Markdown**](/docs/output-widgets/markdown/) widget: + +```python +mr.Markdown(text="# **Employee Hours Log**") +``` + +### Create boxes with numbers + +To provide a quick overview of the **Salary** and **Wage** data, please create two sets of [**NumbeBox**](/docs/output-widgets/numberbox/) widgets. The first set will show the lowest, highest, and average salaries, and the second set will show the same statistics for wages: + +```python +mr.NumberBox([ + mr.NumberBox(data=f"{df['Salary'].min()}$", title="Lowest salary"), + mr.NumberBox(data=f"{df['Salary'].max()}$", title="Highest salary"), + mr.NumberBox(data=f"{round(df['Salary'].mean())}$", title="Average salary") +]) +``` + +```python +mr.NumberBox([ + mr.NumberBox(data=f"{df['Wage'].min()}$", title="Lowest wage"), + mr.NumberBox(data=f"{df['Wage'].max()}$", title="Highest wage"), + mr.NumberBox(data=f"{round(df['Wage'].mean())}$", title="Average wage") +]) +``` + +### Add interactive widget + +To allow users to filter the data based on age range, you need to include an interactive [**Range**](/docs/input-widgets/range/) widget. This will let users select an age range and dynamically update the visualizations based on their selection. + +```python +range = mr.Range(value=[18, 30], min=18, max=30, label="Choose age range", step=1) +``` + +### Create Chart + +Please create a chart which shows age dependence on payments. You will need `altair` package: + +Now, please create a chart to show the relationship between age and wage. You can use `altair` package: + +```python +alt.Chart(df).mark_point( + filled=True, + size=100, + color='red' +).encode( + x=alt.X('Age', scale=alt.Scale(domain=[range.value[0],range.value[1]])), + y=alt.Y('Wage', scale=alt.Scale(domain=[df['Wage'].min()-1,df['Wage'].max()+1])), + tooltip=['Age','Wage'] +).interactive().properties( + width='container' +) +``` + +If something is unclear, check [**Altair Docs**](https://altair-viz.github.io/). + +### Create Table + +Then, please create a table to display the entire dataset. You can use [**Table**](/docs/output-widgets/table/) widget: + +```python +mr.Table(df, width='200px') +``` + +## Create a Web App + +Deploying Web App is very easy that you can do it in 3 steps: + +
+ +### Login to Mercury Cloud + +If you don't have account, you can create it here: [**Mercury Cloud**](https://cloud.runmercury.com/register). + +### Create new site + +Create new or use an existing site. + +### Upload your notebook + +Upload the notebook with code. + +
+ +**Congrats!** You just created your own Web App and you can share your Jupyter Notebooks with nontechnical users. If you need more information about deploying the Web App check [**Mercury Cloud Documentation**](https://runmercury.com/docs/cloud/). + +## Final Effect + +Here is a teaser of Web App: + + + +You can check this example as a Web App right here: [**Dashboard with Excel Data**](https://dashboards.runmercury.com/app/excel-into-dashboard). \ No newline at end of file diff --git a/pages/tutorials/matplotlib-dashboard.mdx b/pages/tutorials/matplotlib-dashboard.mdx index 7cb645a..85bedcd 100644 --- a/pages/tutorials/matplotlib-dashboard.mdx +++ b/pages/tutorials/matplotlib-dashboard.mdx @@ -219,7 +219,7 @@ Here is a teaser of Web App: diff --git a/public/images/tutorials/dashboards/excel-dashboard/excel-dashboard.mp4 b/public/images/tutorials/dashboards/excel-dashboard/excel-dashboard.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..a29a5cb4f11506ec76137e93c0bf460e0271f636 GIT binary patch literal 343867 zcmc$_2UHYIwu 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