minghao minghao51

## sample-dataset-alternative.csv

          
            Month
            Temperature
            Precipitation

            
              January
              7
              8.1

            
              February
              7
              14.9

            
              March
              10
              41

            
              April
              15
              31.4

            
              May
              20
              42.6

            
              June
              23
              57.5

            
              July
              26
              36

## sample-dataset.csv

          
            
            January
            February
            March
            April
            May
            June
            July

            
              Temperature
              7
              7
              10
              15
              20
              23
              26

            
              Precipitation
              8.1
              14.9
              41
              31.4
              42.6
              57.5
              36

## covid world csv
dateRep,Africa,America,Asia,Europe,Oceania,Other
2020-01-06,0.0,0.0,59.0,0.0,0.0,0.0
2020-01-13,0.0,0.0,127.0,0.0,0.0,0.0
2020-01-20,0.0,0.0,375.0,0.0,0.0,0.0
2020-01-27,0.0,15.0,7825.0,9.0,9.0,0.0
2020-02-03,0.0,55.0,63328.0,102.0,43.0,0.0
2020-02-10,0.0,54.0,145254.0,114.0,40.0,289.0
2020-02-17,3.0,28.0,201453.0,87.0,10.0,1346.0
2020-02-24,4.0,74.0,113151.0,233.0,25.0,2575.0
2020-03-02,15.0,358.0,43581.0,6383.0,47.0,697.0

## onenote_export.py
### README
# This Python scripts exports all the OneNote notebooks linked to your Microsoft account to HTML files.

## Output
# The notebooks will each become a subdirectory of the `output` folder, with further subdirectories
# for the sections within each notebook and the pages within each section. Each page is a directory
# containing the HTML file `main.html` and two directories `images` and `attachments` (if necessary)
# for the images and attachments. Any sub-pages will be subdirectories within this one.

## Setup

## ScriptLab Search Wiki.POWERPOINT.yaml
name: ScriptLab Search Wiki
description: Search Wikipedia based on the selected text.
host: POWERPOINT
api_set: {}
script:
  content: |
    $("#insert").click(run);

    Office.onReady((info) => {
      console.log(info.host);
Month	Temperature	Precipitation
January	7	8.1
February	7	14.9
March	10	41
April	15	31.4
May	20	42.6
June	23	57.5
July	26	36
	dateRep,Africa,America,Asia,Europe,Oceania,Other
	2020-01-06,0.0,0.0,59.0,0.0,0.0,0.0
	2020-01-13,0.0,0.0,127.0,0.0,0.0,0.0
	2020-01-20,0.0,0.0,375.0,0.0,0.0,0.0
	2020-01-27,0.0,15.0,7825.0,9.0,9.0,0.0
	2020-02-03,0.0,55.0,63328.0,102.0,43.0,0.0
	2020-02-10,0.0,54.0,145254.0,114.0,40.0,289.0
	2020-02-17,3.0,28.0,201453.0,87.0,10.0,1346.0
	2020-02-24,4.0,74.0,113151.0,233.0,25.0,2575.0
	2020-03-02,15.0,358.0,43581.0,6383.0,47.0,697.0
	### README
	# This Python scripts exports all the OneNote notebooks linked to your Microsoft account to HTML files.

	## Output
	# The notebooks will each become a subdirectory of the `output` folder, with further subdirectories
	# for the sections within each notebook and the pages within each section. Each page is a directory
	# containing the HTML file `main.html` and two directories `images` and `attachments` (if necessary)
	# for the images and attachments. Any sub-pages will be subdirectories within this one.

	## Setup
	name: ScriptLab Search Wiki
	description: Search Wikipedia based on the selected text.
	host: POWERPOINT
	api_set: {}
	script:
	content: \|
	$("#insert").click(run);

	Office.onReady((info) => {
	console.log(info.host);