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I have to make two data analysis reports using descriptive statistics, making plenty of informative plots etc.
Problem is, I'm not sure what tools should I use? I started preparing one report in Jupyter Notebook using pandas, scipy.stats and matplotlib with intention to convert it somehow to pdf later on, so I can have report without code. After hour or two I realized it might not be the best idea. I even had problem with making good description of categorical data, since pandas describe() had limited functionality on this type of data.
Could you suggest me some tools that would be best in this case? I want to prepare aesthetic, informative report. It's my first time doing data analysis including preparing report.
Your report doesn't require code, as you said. So why not just type up your report on Word and include the relevant tables and plots? You can produce plots on python using matplotlib (seaborn for aesthetic plots). And as for the statistics, you do not only have to use what pandas offers. Depending on the kind of data, for example, you can use scipy and apply those functions on columns of your dataframe to generate insights.
Also check out this data analysis and visualization software called Tableau. You can quickly create some beautiful and insightful plots using this; however, there is a learning curve.
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Using python I'm traying to monitor a small network, I did this using zabbix before and it work perfectly, zabbix is much bigger than what i want to do.
just ping every device in a text file.
I want to graphically visualize the results, opengl, matplotlib.. are very strong but are bigger than what I want to do.
Is there a python module that can do like this result:
example of graphical representation of results (map)
I just want to keep things very simple.
Try to use graph-tool if you're looking for a tool to analyze a network.
Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs (a.k.a. networks). Conveniently draw your graphs, using a variety of algorithms and output formats (including to the screen).
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I would like to Learn About DATA Analytics.
Where to start it?
Where I can find the concepts about analytics?
What are all the Frameworks in PYTHON used for analytics?
Which could be good for my career(PYTHON or R)
There are vast choices for data analysis in Python. There are many frameworks which ensure that you do not have to reinvent the wheel.
Some of the major of them are:
1) NumPy: It is a Python library providing easy access to arrays, matrix operations and linear algebra.(You may also consider SciPy)
2) Pandas: It is a library which provides you 2D datasets or dataframes to store data. They are handy at times.
3) Matplotlib: It is a great library for making and plotting 2D graphs. It has the ability to make graphs and histograms with just a few lines of code.
Where to start it? Where i can find the concepts about analytic?
Data analytic/analysis is a huge concepts, but a good way to start is find a problem (data to analyse) and solve it. My suggestion is to buy a book. For example if you like to use python i suggested: "Python for Data Analysis".
What are all the Frameworks in PYTHON used for analytics?
As suggested in the other answer Numpy, Pandas and Matplotlib. Furthermore, Scipy more useful for Statistical problem. Another framework really interesting is scikit-learn http://scikit-learn.org/stable/.
Ps: a good framework that include all the former package is called Anaconda
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I'm pretty new to the whole idea of data visualization, so I was hoping people could point me in the direction of efficient tools to use for a problem I have:
I've got a lot of numerical data (they are counts) that are tied to specific countries with a two-letter country code. Ideally, I'd like to be able to represent these counts using a sort of world heat map. In other words, if the count for India is 20 and the count for China is 5, I'd want China to be colored light red and India to be colored dark red.
What tools would be best to do something like this? I do my data manipulation and analysis using pandas and Python, so I'd love to keep things in the Python family, but I'd love any suggestions at all.
Matplotlib has something called basemap
Vincent
Databench is a tool that connects your Python analysis with an html frontend where you can use tables and interactive elements to navigate your data. You can also use d3.js or higher level JavaScript libraries that use d3.js to visualize your counts on a map.
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Given two lists, which contain same elements of string but in different orders, is there any API that can draw diagrams like
The diagram consists of two stacks of string. Between these two stacks, lines are used to link same elements between these two stacks.
Its outlook is similar as the visualization of sonar (an Eclipse code diff. tool), but the semantics of lines are different.
Does this kind of diagram have some formal name?
The general graph description format DOT seems the most appropriate to me: it is easy to describe a huge variety of graphs, with this (text) format, and you can plot them with one of the many tools available (Graphviz comes to mind, for example).
You also have the specialized python-graph module at your disposal (which can work with the DOT format too).
With python you have many options, see here for more. I would recommend matplotlib,
take a look at this example.
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I'm using Python to process CSV files filled with data that I want to run calculations on, and then graph. I'm looking for a library to use that I can send processed CSV information to, or a dict of some sort, and then choose different graphing styles with.
Does anyone have any recommendations?
I'm personally using matplotlib and am very happy with it.
Matplotlib and Gnuplot.py are popular choices. I've used both.
For client-side charts Open Flash Chart or Google Charts Tools.
I've been using matplotlib for about 3 years now to plot experimental data. Before I was using Excel and that was just a pain. I've been happy with matplotlib ever since. It's great and very powerful.
There is pychart or PyCha, both of which I have not used but have been considering myself.
It depends on the kind of graph you want,
most of the time, i'm using matplotlib but sometimespydot is good.
The various layout algorithms are good for me when dealing with huge graphs