Daniel Kim pybokeh

## dask_with_large_csv.ipynb

      
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                pybokeh
                / dask_with_large_csv.ipynb
            
            
              Created
              April 15, 2016 12:01
            
              
                Dask data frame example with CSV
              
          
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## plotly_with_pandas.html
<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />
<title>plotly_with_pandas</title>

<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>

<style type="text/css">

## ex1.ipynb

      
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                pybokeh
                / ex1.ipynb
            
            
              Created
              April 14, 2016 23:35
            
              
                wide format with null/NaN values
              
          
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## python_plotly_pandas.ipynb

      
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                pybokeh
                / python_plotly_pandas.ipynb
            
            
              Last active
              August 16, 2016 00:04
            
              
                Creating your own local lotly chart
              
          
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## waterfall.ipynb

      
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                pybokeh
                / waterfall.ipynb
            
            
              Created
              April 5, 2016 13:07
            
              
                Waterfall Chart in Python
              
          
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## read_input_example.txt
library(readxl)
library(zoo)
library(dplyr)
library(forecast)


df <- read_excel('path_to_xlsx', sheet='Sheet1')

by_ro <- df %>%
             group_by(RO_YR_MTH) %>%

## Excel_Formatting.ipynb

      
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                pybokeh
                / Excel_Formatting.ipynb
            
            
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              February 9, 2023 23:39
            
              
                Excel Formatting Updated
              
          
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## Python_Excel_Scripting.ipynb

      
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                pybokeh
                / Python_Excel_Scripting.ipynb
            
            
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              January 20, 2020 01:50
            
              
                Excel scripting using Python
              
          
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## left_join_example.ipynb

      
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                pybokeh
                / left_join_example.ipynb
            
            
              Created
              March 1, 2016 19:11
            
              
                left_join_example
              
          
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## conda_howto.ipynb

      
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                pybokeh
                / conda_howto.ipynb
            
            
              Created
              February 22, 2016 20:00
            
              
                Conda HowTo
              
          
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	<!DOCTYPE html>
	<html>
	<head><meta charset="utf-8" />
	<title>plotly_with_pandas</title>

	<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>

	<style type="text/css">
	library(readxl)
	library(zoo)
	library(dplyr)
	library(forecast)


	df <- read_excel('path_to_xlsx', sheet='Sheet1')

	by_ro <- df %>%
	group_by(RO_YR_MTH) %>%