Bhanu K bkamapantula

Source data for 26th June vaccination doses.

Setup

Install pytchat which does bulk of the work. Open a terminal and run the below to install pytchat.

pip install pytchat

I wanted to explore Kibana to analyze nginx logs. Finding the right place to work with data seemed unnecessarily complex.

I had to visit Visualization under Machine Learning to upload a file!

Cloning sample dataset for quick views is easy.
Importing data files into Kibana is a breeze.
We capture timestamp in nginx logs. But Kibana seemed to have trouble recognizing it and picking a right timestamp format.

	"""
	Add several CSV files as Delimited Text Layer(s) with x coordinate as Longitude and y as Lattitude.

	This script is adapted from https://chris35wills.github.io/multi_csv_into_qgis/.
	Updated `addAttributeAlias` to `setFieldAlias` as it's renamed.
	"""

	import os.path, glob

	layers = []

	{
	"$schema": "https://vega.github.io/schema/vega/v5.json",
	"padding": 5,
	"width": 400,
	"height": 300,
	"data": [
	{
	"name": "table",
	"url": "https://raw.githubusercontent.com/deldersveld/topojson/master/countries/france/fr-departments.json",
	"format": {"type": "topojson", "feature": "FRA_adm2"}

	{
	"$schema": "https://vega.github.io/schema/vega-lite/v2.4.json",
	"description": "Bar chart with text labels. Apply scale padding to make the frame cover the labels.",
	"data": {
	"values": [
	{"Metrics": "A1", "Percentage": 0.79},
	{"Metrics": "A2", "Percentage": 0.0399},
	{"Metrics": "A3", "Percentage": 0.9868},
	{"Metrics": "A4", "Percentage": 0.0536},
	{"Metrics": "A5", "Percentage": 0.9412},